Journal articles: 'Healthy database'

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Saul, Nadine, Steffen Möller, Francesca Cirulli, Alessandra Berry, Walter Luyten, and Georg Fuellen. "Health and longevity studies in C. elegans: the “healthy worm database” reveals strengths, weaknesses and gaps of test compound-based studies." Biogerontology 22, no. 2 (March 8, 2021): 215–36. http://dx.doi.org/10.1007/s10522-021-09913-2.

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AbstractSeveral biogerontology databases exist that focus on genetic or gene expression data linked to health as well as survival, subsequent to compound treatments or genetic manipulations in animal models. However, none of these has yet collected experimental results of compound-related health changes. Since quality of life is often regarded as more valuable than length of life, we aim to fill this gap with the “Healthy Worm Database” (http://healthy-worm-database.eu). Literature describing health-related compound studies in the aging model Caenorhabditis elegans was screened, and data for 440 compounds collected. The database considers 189 publications describing 89 different phenotypes measured in 2995 different conditions. Besides enabling a targeted search for promising compounds for further investigations, this database also offers insights into the research field of studies on healthy aging based on a frequently used model organism. Some weaknesses of C. elegans-based aging studies, like underrepresented phenotypes, especially concerning cognitive functions, as well as the convenience-based use of young worms as the starting point for compound treatment or phenotype measurement are discussed. In conclusion, the database provides an anchor for the search for compounds affecting health, with a link to public databases, and it further highlights some potential shortcomings in current aging research.

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Batouli, Seyed Amir Hossein, Minoo Sisakhti, Shirin Haghshenas, Hamed Dehghani, Perminder Sachdev, Hamed Ekhtiari, Nicole Kochan, et al. "Iranian Brain Imaging Database: A Neuropsychiatric Database of Healthy Brain." Basic and Clinical Neuroscience Journal 12, no. 1 (January 1, 2021): 115–32. http://dx.doi.org/10.32598/bcn.12.1.1774.2.

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Introduction: The Iranian Brain Imaging Database (IBID) was initiated in 2017, with 5 major goals: provide researchers easy access to a neuroimaging database, provide normative quantitative measures of the brain for clinical research purposes, study the aging profile of the brain, examine the association of brain structure and function, and join the ENIGMA consortium. Many prestigious databases with similar goals are available. However, they were not done on an Iranian population, and the battery of their tests (e.g. cognitive tests) is selected based on their specific questions and needs. Methods: The IBID will include 300 participants (50% female) in the age range of 20 to 70 years old, with an equal number of participants (#60) in each age decade. It comprises a battery of cognitive, lifestyle, medical, and mental health tests, in addition to several Magnetic Resonance Imaging (MRI) protocols. Each participant completes the assessments on two referral days. Results: The study currently has a cross-sectional design, but longitudinal assessments are considered for the future phases of the study. Here, details of the methodology and the initial results of assessing the first 152 participants of the study are provided. Conclusion: IBID is established to enable research into human brain function, to aid clinicians in disease diagnosis research, and also to unite the Iranian researchers with interests in the brain.

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Higuchi, Masatoshi, Akira Okada, and Seiichi Hisamoto. "Physical Characteristics database in healthy Japanese." Japanese journal of ergonomics 42 (2006): 570–71. http://dx.doi.org/10.5100/jje.42.supplement_570.

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Yasuyuki, Taki. "Brain development using MRI database in healthy children." International Journal of Psychophysiology 108 (October 2016): 4–5. http://dx.doi.org/10.1016/j.ijpsycho.2016.07.013.

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Cesari, Ugo, Giuseppe De Pietro, Elio Marciano, Ciro Niri, Giovanna Sannino, and Laura Verde. "A new database of healthy and pathological voices." Computers & Electrical Engineering 68 (May 2018): 310–21. http://dx.doi.org/10.1016/j.compeleceng.2018.04.008.

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Graziano, Elvira Anna, Fabio Fiano, Antonio Usai, and Nadia Cipullo. "Is healthy food convenient for health and pockets?" British Food Journal 122, no. 4 (March 26, 2020): 1099–111. http://dx.doi.org/10.1108/bfj-06-2019-0455.

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PurposeThe purpose of the study is to analyse the stock market response to a spin-off announcement concerning a food and beverage (F&B) business unit.Design/methodology/approachThe study uses a sample of approximately 107 spin-offs, 84 of which are operating in the F&B sector surveyed by the Zephyr–Bureau Van Dijk database. The event study approach is applied to the identified sample. The results demonstrate that the effect of an event on the stock price of a firm allows identification of the abnormal return as the difference between the current and expected returns.FindingsThe study finds that investors adjust positively to the closing of the spin-off deal. The peak of performance is reached on the day of the announcement.Research limitations/implicationsEmpirical evidence could be distorted by the mono-industry database, analysed in a “favourable time span.” The role of information transfer on spin-offs, in terms of diffusion and reduction of information asymmetries, could be developed.Originality/valueThe study represents a pioneering investigation of a category of mono-industry spin-offs. Previous doctrinal contributions underline the fact that abnormal returns corresponding to announcement effects are amplified in the case of information asymmetries but underestimate the effects deriving from the strategic business unit's nature as a spin-off.

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Tan, Xiu Ling, Sae Cheong Yap, Xiang Li, and Leonard W. Yip. "Comparison of Ethnic-specific Databases in Heidelberg Retina Tomography-3 to Discriminate Between Early Glaucoma and Normal Chinese Eyes." Open Ophthalmology Journal 11, no. 1 (February 28, 2017): 40–46. http://dx.doi.org/10.2174/1874364101711010040.

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Purpose: To compare the diagnostic accuracy of the 3 race-specific normative databases in Heidelberg Retina Tomography (HRT)-3, in differentiating between early glaucomatous and healthy normal Chinese eyes. Method: 52 healthy volunteers and 25 glaucoma patients were recruited for this prospective cross-sectional study. All underwent standardized interviews, ophthalmic examination, perimetry and HRT optic disc imaging. Area under the curve (AUC) receiver operating characteristics, sensitivity and specificity were derived to assess the discriminating abilities of the 3 normative databases, for both Moorfields Regression Analysis (MRA) and Glaucoma Probability Score (GPS). Results: A significantly higher percentage (65%) of patients were classified as “within normal limits” using the MRA-Indian database, as compared to the MRA-Caucasian and MRA-African-American databases. However, for GPS, this was observed using the African-American database. For MRA, the highest sensitivity was obtained with both Caucasian and African-American databases (68%), while the highest specificity was from the Indian database (94%). The AUC for discrimination between glaucomatous and normal eyes by MRA-Caucasian, MRA-African-American and MRA-Indian databases were 0.77 (95% CI, 0.67-0.88), 0.79 (0.69-0.89) and 0.73 (0.63-0.84) respectively. For GPS, the highest sensitivity was obtained using either Caucasian or Indian databases (68%). The highest specificity was seen with the African-American database (98%). The AUC for GPS-Caucasian, GPS-African-American and GPS-Indian databases were 0.76 (95% CI, 0.66-0.87), 0.77 (0.67-0.87) and 0.76 (0.66-0.87) respectively. Conclusion: Comparison of the 3 ethnic databases did not reveal significant differences to differentiate early glaucomatous from normal Chinese eyes.

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Zeng, Xian, Xue Yang, Jiajun Fan, Ying Tan, Lingyi Ju, Wanxiang Shen, Yali Wang, et al. "MASI: microbiota—active substance interactions database." Nucleic Acids Research 49, no. D1 (October 30, 2020): D776—D782. http://dx.doi.org/10.1093/nar/gkaa924.

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Abstract Xenobiotic and host active substances interact with gut microbiota to influence human health and therapeutics. Dietary, pharmaceutical, herbal and environmental substances are modified by microbiota with altered bioavailabilities, bioactivities and toxic effects. Xenobiotics also affect microbiota with health implications. Knowledge of these microbiota and active substance interactions is important for understanding microbiota-regulated functions and therapeutics. Established microbiota databases provide useful information about the microbiota-disease associations, diet and drug interventions, and microbiota modulation of drugs. However, there is insufficient information on the active substances modified by microbiota and the abundance of gut bacteria in humans. Only ∼7% drugs are covered by the established databases. To complement these databases, we developed MASI, Microbiota—Active Substance Interactions database, for providing the information about the microbiota alteration of various substances, substance alteration of microbiota, and the abundance of gut bacteria in humans. These include 1,051 pharmaceutical, 103 dietary, 119 herbal, 46 probiotic, 142 environmental substances interacting with 806 microbiota species linked to 56 diseases and 784 microbiota–disease associations. MASI covers 11 215 bacteria-pharmaceutical, 914 bacteria-herbal, 309 bacteria-dietary, 753 bacteria-environmental substance interactions and the abundance profiles of 259 bacteria species in 3465 patients and 5334 healthy individuals. MASI is freely accessible at http://www.aiddlab.com/MASI.

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Bloom, Nicholas, Renata Lemos, Raffaella Sadun, and John Van Reenen. "Healthy Business? Managerial Education and Management in Health Care." Review of Economics and Statistics 102, no. 3 (June 2020): 506–17. http://dx.doi.org/10.1162/rest_a_00847.

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We investigate the link between hospital performance and managerial education by collecting a large database of management practices and skills in hospitals across nine countries. We find that hospitals closer to universities offering both medical education and business education have lower mortality rates from acute myocardial infarction (heart attacks), better management practices, and more MBA-trained managers. This is true compared to the distance to universities that offer only business or medical education (or neither). We argue that supplying bundled medical and business education may be a channel through which universities improve management practices in hospitals and raise clinical performance.

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Esabella, Shinta, Fahri Hamdani, and Fahmi Yuliono. "RANCANG BANGUN APLIKASI MEDIA PROMOSI HIDUP SEHAT BERBASIS ANDROID (STUDI KASUS DI DINAS KESEHATAN KABUPATEN SUMBAWA)." Jurnal Informatika, Teknologi dan Sains 1, no. 2 (November 29, 2019): 143–52. http://dx.doi.org/10.51401/jinteks.v1i2.420.

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This research aims to design and build an Android-based healthy life promotion Media application in order to be utilized by the Health Department (DIKES). The research method used is a qualitative method of descriptive analytic and the method of data collection used in this research is the method of interviews, observations, and literature studies as well as using the method of spiral as Software development methods. The Android based healthy Live promotion Media app is built using the Java programming language and MySQL database as the Database Management System (DBMS). In the application of Healthy life promotion Media based on Android will be around especially in Sumbawa district can facilitate the viewing of health information wherever and whenever in the form of digital Media.

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GARC??S, GERARDO L., DANIEL MEDINA, LJUBO MILUTINOVIC, PEDRO GARAVOTE, and ENRIQUE GUERADO. "Normative database of isometric cervical strength in a healthy population." Medicine & Science in Sports & Exercise 34, no. 3 (March 2002): 464–70. http://dx.doi.org/10.1097/00005768-200203000-00013.

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Yang, Park, Park, Baek, and Chun. "Introducing Murine Microbiome Database (MMDB): A Curated Database with Taxonomic Profiling of the Healthy Mouse Gastrointestinal Microbiome." Microorganisms 7, no. 11 (October 23, 2019): 480. http://dx.doi.org/10.3390/microorganisms7110480.

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The gut microbiota modulates overall metabolism, the immune system and brain development of the host. The majority of mammalian gut microbiota consists of bacteria. Among various model animals, the mouse has been most widely used in pre-clinical biological experiments. The significant compositional differences in taxonomic profiles among different mouse strains due to gastrointestinal locations, genotypes and vendors have been well documented. However, details of such variations are yet to be elucidated. This study compiled and analyzed 16S rRNA gene-based taxonomic profiles of 554 healthy mouse samples from 14 different projects to construct a comprehensive database of the microbiome of a healthy mouse gastrointestinal tract. The database, named Murine Microbiome Database, should provide researchers with useful taxonomic information and better biological insight about how each taxon, such as genus and species, is associated with locations in the gastrointestinal tract, genotypes and vendors. The database is freely accessible over the Internet at http://leb.snu.ac.kr/mmdb/.

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Rohm, Marlena, Marius Markmann, Johannes Forsting, Robert Rehmann, Martijn Froeling, and Lara Schlaffke. "3D Automated Segmentation of Lower Leg Muscles Using Machine Learning on a Heterogeneous Dataset." Diagnostics 11, no. 10 (September 23, 2021): 1747. http://dx.doi.org/10.3390/diagnostics11101747.

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Quantitative MRI combines non-invasive imaging techniques to reveal alterations in muscle pathophysiology. Creating muscle-specific labels manually is time consuming and requires an experienced examiner. Semi-automatic and fully automatic methods reduce segmentation time significantly. Current machine learning solutions are commonly trained on data from healthy subjects using homogeneous databases with the same image contrast. While yielding high Dice scores (DS), those solutions are not applicable to different image contrasts and acquisitions. Therefore, the aim of our study was to evaluate the feasibility of automatic segmentation of a heterogeneous database. To create a heterogeneous dataset, we pooled lower leg muscle images from different studies with different contrasts and fields-of-view, containing healthy controls and diagnosed patients with various neuromuscular diseases. A second homogenous database with uniform contrasts was created as a subset of the first database. We trained three 3D-convolutional neuronal networks (CNN) on those databases to test performance as compared to manual segmentation. All networks, training on heterogeneous data, were able to predict seven muscles with a minimum average DS of 0.75. U-Net performed best when trained on the heterogeneous dataset (DS: 0.80 ± 0.10, AHD: 0.39 ± 0.35). ResNet and DenseNet yielded higher DS, when trained on a heterogeneous dataset (both DS: 0.86), as compared to a homogeneous dataset (ResNet DS: 0.83, DenseNet DS: 0.76). In conclusion, a CNN trained on a heterogeneous dataset achieves more accurate labels for predicting a heterogeneous database of lower leg muscles than a CNN trained on a homogenous dataset. We propose that a large heterogeneous database is needed, to make automated segmentation feasible for different kinds of image acquisitions.

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Thompson, Chad M., Douglas O. Johns, Babasaheb Sonawane, Hugh A. Barton, Dale Hattis, Robert Tardif, and Kannan Krishnan. "Database for Physiologically Based Pharmacokinetic (PBPK) Modeling: Physiological Data for Healthy and Health-Impaired Elderly." Journal of Toxicology and Environmental Health, Part B 12, no. 1 (January 8, 2009): 1–24. http://dx.doi.org/10.1080/10937400802545060.

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Bouallal, Doha, Asma Bougrine, Rachid Harba, Raphael Canals, Hassan Douzi, Luis Vilcahuaman, and Hugo Arbanil. "STANDUP database of plantar foot thermal and RGB images for early ulcer detection." Open Research Europe 2 (June 14, 2022): 77. http://dx.doi.org/10.12688/openreseurope.14706.1.

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In this paper, we provide details of a research database consisting of 415 multispectral images (thermal and RGB images) of plantar foot from healthy (125 images) and diabetic subjects (290 images). The healthy subjects were members of two research laboratories (PRISME in France and IRF-SIC in Morocco). The second group was composed of type II diabetic patients who participated in an acquisition campaign at the Hospital Nacional Dos de Mayo in Lima, Peru, as part of a study on the early detection of ulcers in patients with diabetic foot. The purpose of this article is to describe the recruitment and acquisition protocols as well as the equipment used to help other units create similar databases. Our database was created in the context of the European STANDUP Horizon 2020 project #777661, in which eight scientific research entities and high-tech companies partnered.

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Taylor, Marcus K., Ricardo Pietrobon, Deng Pan, Michael Huff, and Laurence D. Higgins. "Healthy People 2010 Physical Activity Guidelines and Psychological Symptoms: Evidence From a Large Nationwide Database." Journal of Physical Activity and Health 1, no. 2 (April 2004): 114–30. http://dx.doi.org/10.1123/jpah.1.2.114.

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Background:Physical inactivity is a risk factor for poor mental health. The present study evaluates the association between mental health and physical activity levels according to the Healthy People 2010 guidelines in a large national sample.Methods:Participants (N = 41,914) were selected from the 2001 Behavioral Risk Factor Surveillance System. Primary predictor variable was physical activity level, and primary outcome measure was frequency of mental distress. Specific outcomes of anxiety and depressive symptoms were also measured.Results:Compared with those meeting the Healthy People 2010 guidelines, sedentary participants were 1.31 times more likely to experience 14 or more days of mental distress during the past 30 days (OR 1.31, 95% CI 1.16, 1.48), 1.34 times more likely to experience anxiety symptoms (OR 1.34, 95% CI 1.21, 1.49), and 1.22 times more likely to experience depressive symptoms (OR 1.22, 95% CI 1.10, 1.36). Comparing those participants falling short of the Healthy People 2010 recommendation with those meeting the guideline, no significant group differences were demonstrated relative to frequency of mental distress. Those meeting the recommendation were more likely to have 14 or more days of anxiety symptoms during the past 30 days (OR 1.10, 95% CI 1.02, 1.17).Conclusions:Our results suggest that being sedentary is clearly associated with more aversive psychological symptoms. However, performing enough physical activity to meet the Healthy People 2010 guideline may not be associated with better psychological status than minimal amounts of physical activity.

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Liu, Zhen, Guizhong Han, Jiajun Yan, Zhichao Liu, and Mohamed Osmani. "The Relationship between Social Mentality and Health in Promoting Well-Being and Sustainable City." International Journal of Environmental Research and Public Health 19, no. 18 (September 13, 2022): 11529. http://dx.doi.org/10.3390/ijerph191811529.

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In the context of the coronavirus disease 2019 (COVID-19), people’s social mentality and mental health have been severely affected, which has hindered or even reversed the achievement of the United Nations Sustainable Development Goals (SDGs). However, there is a lack of investigation into the potential relationship between social mentality and health, as well as of the comparison between different databases worldwide and in China, in the current context of COVID-19. Hence, the aim of this paper is to explore the research hotspots and development trends of social mentality and health in China and worldwide, while improving people’s health, building a sustainable society, and facilitating the achieving of the SDGs. A bibliometric method is employed in this paper from a macro-quantitative and micro-qualitative perspective to explore the research hotspots and trends of social mentality and health in the world and China from the two databases, namely the English-language Web of Science (WOS) and the Chinese-language China National Knowledge Infrastructure (CNKI). The results indicate that: (1) By using keyword co-occurrence and clustering analysis via the CiteSpace software bibliometric tool, 11 current research hotspots have been identified and studies are increasing in terms of using the Chinese language and the English language. (2) The current studies in the CNKI database mainly focus on the macro social environmental factors affecting social mentality and population research, while the studies in the WOS database pay more attention to social mentality and health in the context of the COVID-19 epidemic situation and a variety of professions. Hence, future research could explore the influencing factors and cultivation methods toward a healthy social mentality from the perspective of methodology and toward achieving SDG 3, providing healthy lives and promote well-being for all at all ages, and SDG 11, building sustainable cities and communities in the post-pandemic COVID-19 era.

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Dhahbi, W., A. Zouita, F. Z. Ben Salah, A. Chaouachi, K. Chamari, and L. Chèze. "Reference database of the gait cycle for young healthy Tunisian adults." IRBM 35, no. 1 (February 2014): 46–52. http://dx.doi.org/10.1016/j.irbm.2013.12.005.

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Matsuda, Hiroshi, Miho Murata, Yohei Mukai, Kazuya Sako, Hidetoshi Ono, Hiroshi Toyama, Yoshitaka Inui, et al. "Japanese multicenter database of healthy controls for [123I]FP-CIT SPECT." European Journal of Nuclear Medicine and Molecular Imaging 45, no. 8 (February 24, 2018): 1405–16. http://dx.doi.org/10.1007/s00259-018-3976-5.

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Zhou, Jia, Hui Chang, Minmin Leng, and Zhiwen Wang. "Intrinsic Capacity to Predict Future Adverse Health Outcomes in Older Adults: A Scoping Review." Healthcare 11, no. 4 (February 4, 2023): 450. http://dx.doi.org/10.3390/healthcare11040450.

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Objective: Intrinsic capacity is recognized as an important determinant of healthy aging and well-being of older adults; however, relatively little is known about the intrinsic capacity of older adults to predict adverse health outcomes. The study aimed to examine which adverse health outcomes of older adults can be predicted by intrinsic capacity. Methods: The study was conducted using the scoping review methodological framework of Arksey and O’Malley. A systematic literature search of nine electronic databases (i.e., Pubmed, Embase, Cochrane library, Web of science, CINAHL, China National Knowledge Infrastructure, VIP, Wanfang, and the Chinese Biological Medical Literature Database) were performed from the database’s inception to 1 March 2022. Results: Fifteen longitudinal studies were included. A series of adverse health outcomes were assessed, including physical function (n = 12), frailty (n = 3), falls (n = 3), mortality (n = 6), quality of life (n = 2) and other adverse health outcomes (n = 4). Conclusions: Intrinsic capacity could predict some adverse health outcomes of different follow-up times for older adults; however, due to the small number of studies and sample size, more high-quality studies are necessary to explore the longitudinal relationships between intrinsic capacity and adverse health outcomes in the future.

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Wu, Hong Lin, Ke Wang, Yi Yang Liu, and Cheng Jie Dong. "Health Database Oriented Word Alignment for Machine Translation Based on Generalized Intersection." Applied Mechanics and Materials 347-350 (August 2013): 3368–71. http://dx.doi.org/10.4028/www.scientific.net/amm.347-350.3368.

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Health database oriented data analysis and processing is very valuable, and in which the word alignment plays an important role. Health database contains a lot of medical terms. The existing word alignment methods cannot perform well due to the deficiency of term dictionary. This paper proposed a method of word alignment between Chinese and Japanese for healthy database. The method is based on the generalized intersection upon the set form of the sentence-level aligned bilingual corpus. We use GI (generalized intersection) model to align words. The GI model includes an algorithm based on generalized intersection operations on word set, and uses special stop-word set to improve the recall further. The results of experiments indicate that the GI model performed well for the health database with huge amounts of medical terms, as well as the language pairs with less linguistic resource, such as Chinese and Japanese.

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Soltanzadeh, Ladan, Arezou Taheri, and Mohammad Rabiee. "Role of Information Technology in Implementation of Telemedicine System." INTERNATIONAL JOURNAL OF RESEARCH IN EDUCATION METHODOLOGY 6, no. 2 (August 30, 2015): 824–29. http://dx.doi.org/10.24297/ijrem.v6i2.3878.

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Introduction: Telemedicine is the wide description of providing medical and healthcare services by means of telecommunications.Methodology: A search of electronic databases including Medline, Excerpta Medica Database (EMBASE), Cochrane, and Cumulative Index to Nursing and Allied Health Literature (CINAHL) for relevant papers was performed. All studies addressing the use of telemedicine in emergency medical or pre-hospital care setting were included. Out of a total of 1,230 abstracts that were reviewed, result of 39 articles and 3 books and author 's experiences were gathered.Findings:Technologies do not only assist medical practitioners and patients receiving treatment, they also benefit perfectly healthy people by providing a wide range of general health assessments.Conclusion: telemedicine is medical services through the use ofÂ telecommunications.

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Su, Qingyuan, Qingyuan Lv, and Ruijin Wu. "Mining expression and prognosis of FOLR1 in ovarian cancer by using Oncomine and Kaplan-Meier plotter." Pteridines 30, no. 1 (January 1, 2019): 158–64. http://dx.doi.org/10.1515/pteridines-2019-0020.

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Abstract Objective: To further explore folate receptor 1 (FOLR1) gene expression in ovarian cancer and its association with patients’ prognosis by deep mining the Oncomine and Kaplan-Meier plotter databases. Methods: FOLR1 mRNA expression data of ovarian cancer were retrieved from the Oncomine database and further analyzed by comparing tumor to healthy tissue. The prognostic value of FOLR1 in ovarian cancer was analyzed by Kaplan-Meier Plotter, an online survival analysis database. Results A total of 439 studies were included in the Oncomine database in multiple types of cancers. Of the 439 studies, there were 54 with statistical differences for the expression of FOLR1, 19 with increased expression of FOLR1 and 35 with decreased expression comparing ovarian cancer to normal ovary tissue. After searching the Oncomine database, six datasets were discovered comparing the mRNA expression in ovarian tumor to healthy tissue. FOLR1 mRNA expression in ovarian tumor was significantly higher than that of normal ovarian tissue (all p<0.05). The Kaplan-Meier Plotter database analyzed the correlation between FOLR1 expression and ovarian cancer patient’s prognosis. A significant difference of progression-free survival between FOLR1 high and low expressing groups was found in ovarian cancer patients (HR=1.14, 95%CI: 1.00-1.29, p=0.043). However, the overall survival was not statistically different between high and low FOLR1 expressing patients (HR=0.95, 95%CI: 0.84-1.09, p=0.48). Conclusion FOLR1 mRNA was found to be highly expressed in ovarian tumor compared to normal ovarian tissue. Elevated FOLR1 mRNA expression was associated with the poor progression-free survival.

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Giampietri, Claudia, Luana Tomaipitinca, Francesca Scatozza, and Antonio Facchiano. "Expression of Genes Related to Lipid Handling and the Obesity Paradox in Melanoma: Database Analysis." JMIR Cancer 6, no. 1 (May 19, 2020): e16974. http://dx.doi.org/10.2196/16974.

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Background Publicly available genomic and transcriptomic data in searchable databases allow researchers to investigate specific medical issues in thousands of patients. Many studies have highlighted the role lipids play in cancer initiation and progression and reported nutritional interventions aimed at improving prognosis and survival. Therefore, there is an increasing interest in the role that fat intake may play in cancer. It is known that there is a relationship between BMI and survival in patients with cancer, and that there is an association between a high-fat diet and increased cancer risk. In some cancers, such as colorectal cancer, obesity and high fat intake are known to increase the risk of cancer initiation and progression. On the contrary, in patients undergoing treatment for melanoma, a higher BMI unexpectedly acts as a protective factor rather than a risk factor; this phenomenon is known as the obesity paradox. Objective We aimed to identify the molecular mechanism underlying the obesity paradox, with the expectation that this could indicate new effective strategies to reduce risk factors and improve protective approaches. Methods In order to determine the genes potentially involved in this process, we investigated the expression values of lipid-related genes in patients with melanoma or colorectal cancer. We used available data from 2990 patients from 3 public databases (IST [In Silico Transcriptomics] Online, GEO [Gene Expression Omnibus], and Oncomine) in an analysis that involved 3 consecutive validation steps. Of this group, data from 1410 individuals were analyzed in the IST Online database (208 patients with melanoma and 147 healthy controls, as well as 991 patients with colorectal cancer and 64 healthy controls). In addition, 45 melanoma, 18 nevi, and 7 healthy skin biopsies were analyzed in another database, GEO, to validate the IST Online data. Finally, using the Oncomine database, 318 patients with melanoma (312 controls) and 435 patients with colorectal cancer (445 controls) were analyzed. Results In the first and second database investigated (IST Online and GEO, respectively), patients with melanoma consistently showed significantly (P<.001) lower expression levels of 4 genes compared to healthy controls: CD36, MARCO, FABP4, and FABP7. This strong reduction was not observed in patients with colorectal cancer. An additional analysis was carried out on a DNA-TCGA data set from the Oncomine database, further validating CD36 and FABP4. Conclusions The observed lower expression of genes such as CD36 and FABP4 in melanoma may reduce the cellular internalization of fat and therefore make patients with melanoma less sensitive to a high dietary fat intake, explaining in part the obesity paradox observed in patients with melanoma.

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Wu, Yin-Chen, and I.-Mei Lin. "The Resting State of Taiwan EEG Normative Database: Z-Scores of Patients with Major Depressive Disorder as the Cross-Validation." Brain Sciences 13, no. 2 (February 18, 2023): 351. http://dx.doi.org/10.3390/brainsci13020351.

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This study referred to the standard of electroencephalography (EEG) collection of normative databases and collected the Taiwan normative database to examine the reliability and validation of the Taiwan EEG normative database. We included 260 healthy participants and divided them into five groups in 10-year age-group segments and calculated the EEG means, standard deviation, and z-scores. Internal consistency reliability was verified at different frequencies between the three electrode locations in the Taiwan normative database. We recruited 221 major depressive disorder (MDD) patients for cross-validation between the Taiwan and NeuroGuide normative databases. There were high internal consistency reliabilities for delta, theta, alpha, beta, and high-beta at C3, Cz, and C4 in the HC group. There were high correlations between the two z-scores of the Taiwan and NeuroGuide normative databases in the frontal, central, parietal, temporal, and occipital lobes from MDD patients. The beta z-scores in the frontal lobe and central area, and the high-beta z-scores in the frontal, central, parietal, temporal, and occipital lobes were greater than one for MDD patients; in addition, the beta and high-beta absolute value z-scores in the whole brain were greater than the ones of MDD patients. The Taiwan EEG normative database has good psychometric characteristics of internal consistency reliability and cross-validation.

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McInerney, Maria, Vikki Ho, Anita Koushik, Isabelle Massarelli, Isabelle Rondeau, Gavin R. McCormack, and Ilona Csizmadi. "Addition of food group equivalents to the Canadian Diet History Questionnaire II for the estimation of the Canadian Healthy Eating Index-2005." Health Promotion and Chronic Disease Prevention in Canada 38, no. 3 (March 2018): 125–34. http://dx.doi.org/10.24095/hpcdp.38.3.03.

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Introduction Poor diet quality has been shown to increase the risk of common chronic diseases that can negatively impact quality of life and burden the healthcare system. Canada’s Food Guide evidence-based recommendations provide dietary guidance aimed at increasing diet quality. Compliance with Canada’s Food Guide can be assessed with the Canadian Healthy Eating Index (C-HEI), a diet quality score. The recently designed Canadian Diet History Questionnaire II (C-DHQ II), a comprehensive food frequency questionnaire could be used to estimate the C-HEI in Canadian populations with the addition of food group equivalents (representing Canada’s Food Guide servings) to the C-DHQ II nutrient database. We describe methods developed to augment the C-DHQ II nutrient database to estimate the C-HEI. Methods Food group equivalents were created using food and nutrient data from existing published food and nutrient databases (e.g. the Canadian Community Health Survey — Cycle 2.2 Nutrition [2004]). The variables were then added to the C-DHQ II companion nutrient database. C-HEI scores were determined and descriptive analyses conducted for participants who completed the C-DHQ II in a cross-sectional Canadian study. Results The mean (standard deviation) C-HEI score in this sample of 446 adults aged 20 to 83 was 64.4 (10.8). Women, non-smokers, and those with more than high school education had statistically significant higher C-HEI scores than men, smokers and those with high school diplomas or less. Conclusion The ability to assess C-HEI using the C-DHQ II facilitates the study of diet quality and health outcomes in Canada.

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Crawford, Emily D., Julia E. Seaman, Nick Agard, Gerald W. Hsu, Olivier Julien, Sami Mahrus, Huy Nguyen, et al. "The DegraBase: A Database of Proteolysis in Healthy and Apoptotic Human Cells." Molecular & Cellular Proteomics 12, no. 3 (December 20, 2012): 813–24. http://dx.doi.org/10.1074/mcp.o112.024372.

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Nam, Eun-Woo, Jae-Sung Park, Eun-Hee Choe, and Gyeong-Na Kim. "A Study on the Application of Web Database for Healthy City Wonju." Korean Journal of Health Service Management 6, no. 1 (March 30, 2012): 219–29. http://dx.doi.org/10.12811/kshsm.2012.6.1.219.

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Assi, Ayman, Ismat Ghanem, El Mostafa Laassel, Georges-François Penneçot, François Lavaste, and Wafa Skalli. "Normalcy gait index and kinematics: Uncertainty and repeatability on healthy children database." Gait & Posture 24 (December 2006): S49—S50. http://dx.doi.org/10.1016/j.gaitpost.2006.11.036.

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Khachaturian, Ara S., Joab Chapman, Lindsay Farrer, Robert P. Friedland, Richard Ebstein, Iris Grossman, Talma Hendler, et al. "Healthy aging and preclinical dementia: The United States-Israel Longitudinal Database Project." Alzheimer's & Dementia 6, no. 6 (November 2010): 475–81. http://dx.doi.org/10.1016/j.jalz.2010.10.001.

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Xiaogang, Li, Geng Di, and Zhang Lianlei. "Impact of the Cigarette Smoking on Athlete's Health: A Systematic Review." Tobacco Regulatory Science 7, no. 6 (November 3, 2021): 6222–27. http://dx.doi.org/10.18001/trs.7.6.100.

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Objectives: Athletes' smoking is still an important issue in the field of competitive sports. At present, there are very few studies on Athletes' smoking. By reviewing the articles related to athletes' smoking, we explore the impact of smoking on Athletes' health, so as to provide theoretical reference for the healthy development of athletes. Methods: We will use index words related to athletes and smoking to perform literature searches in the Web of Science, PubMed, Medline, China National Knowledge Infrastructure Database (CNKI), China Science and Technology Journal Database and WanFang Database, to include articles indexed as of August 25, 2021, in English and Chinese. Results: 1. Cigarette smoking will cause lung function, cardiovascular system, nervous system and other organ damage of athletes, resulting in chronic bronchitis, lung cancer, coronary heart disease, atherosclerotic heart disease, myocardial infarction and other diseases. 2. Cigarette smoking leads to the decline of athletes' physical resistance and immunity, training weakness and sports ability. 3. Cigarette smoking seriously restricts the development of athletes' health and the improvement of sports performance. Conclusion: Cigarette smoking is harmful to the health of athletes. Stay away from tobacco and quit smoking is the wisest choice for athletes to keep healthy and improve their sports performance.

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Al-Ani, Haya H., Anandita Devi, Helen Eyles, Boyd Swinburn, and Stefanie Vandevijvere. "Nutrition and health claims on healthy and less-healthy packaged food products in New Zealand." British Journal of Nutrition 116, no. 6 (August 9, 2016): 1087–94. http://dx.doi.org/10.1017/s0007114516002981.

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AbstractNutrition and health claims are displayed to influence consumers’ food choices. This study assessed the extent and nature of nutrition and health claims on the front-of-pack of ‘healthy’ and ‘less-healthy’ packaged foods in New Zealand. Foods from eight categories, for which consumption may affect the risk of obesity and diet-related chronic diseases, were selected from the 2014 Nutritrack database. The internationally standardised International Network for Food and Obesity/Non-Communicable Diseases Research, Monitoring and Action Support (INFORMAS) taxonomy was used to classify claims on packages. The Nutrient Profiling Scoring Criterion (NPSC) was used to classify products as ‘healthy’ or ‘less healthy’. In total, 7526 products were included, with 47 % (n 3557) classified as ‘healthy’. More than one-third of products displayed at least one nutrition claim and 15 % featured at least one health claim on the front-of-pack. Claims were found on one-third of ‘less-healthy’ products; 26 % of those products displayed nutrition claims and 7 % featured health claims. About 45 % of ‘healthy’ products displayed nutrition claims and 23 % featured health claims. Out of 7058 individual claims, the majority (69 %) were found on ‘healthy’ products. Cereals displayed the greatest proportion of nutrition and health claims (1503 claims on 564 products), of which one-third were displayed on ‘less-healthy’ cereals. Such claims could be misleading consumers’ perceptions of nutritional quality of foods. It needs to be explored how current regulations on nutrition and health claims in New Zealand could be further strengthened (e.g. using the NPSC for nutrition claims, including general health claims as per the INFORMAS taxonomy) to ensure consumers are protected and not misled.

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López-Hernández, Yamilé, Juan José Oropeza-Valdez, Jorge O. Blanco-Sandate, Ana Sofia Herrera-Van Oostdam, Jiamin Zheng, An Chi Guo, Victoria Lima-Rogel, et al. "The Urinary Metabolome of Healthy Newborns." Metabolites 10, no. 4 (April 23, 2020): 165. http://dx.doi.org/10.3390/metabo10040165.

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The knowledge of normal metabolite values for neonates is key to establishing robust cut-off values to diagnose diseases, to predict the occurrence of new diseases, to monitor a neonate’s metabolism, or to assess their general health status. For full term-newborns, many reference biochemical values are available for blood, serum, plasma and cerebrospinal fluid. However, there is a surprising lack of information about normal urine concentration values for a large number of important metabolites in neonates. In the present work, we used targeted tandem mass spectrometry (MS/MS)-based metabolomic assays to identify and quantify 136 metabolites of biomedical interest in the urine from 48 healthy, full-term term neonates, collected in the first 24 h of life. In addition to this experimental study, we performed a literature review (covering the past eight years and over 500 papers) to update the references values in the Human Metabolome Database/Urine Metabolome Database (HMDB/UMDB). Notably, 86 of the experimentally measured urinary metabolites are being reported in neonates/infants for the first time and another 20 metabolites are being reported in human urine for the first time ever. Sex differences were found for 15 metabolites. The literature review allowed us to identify another 78 urinary metabolites with concentration data. As a result, reference concentration values and ranges for 378 neonatal urinary metabolites are now publicly accessible via the HMDB.

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Sikaris, Kenneth A. "Separating disease and health for indirect reference intervals." Journal of Laboratory Medicine 45, no. 2 (March 10, 2021): 55–68. http://dx.doi.org/10.1515/labmed-2020-0157.

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Abstract The indirect approach to defining reference intervals operates ‘a posteriori’, on stored laboratory data. It relies on being able to separate healthy and diseased populations using one or both of clinical techniques or statistical techniques. These techniques are also fundamental in a priori, direct reference interval approaches. The clinical techniques rely on using clinical data that is stored either in the electronic health record or within the laboratory database, to exclude patients with possible disease. It depends on the investigators understanding of the data and the pathological impacts on tests. The statistical technique relies on identifying a dominant, apparently healthy, typically Gaussian distribution, which is unaffected by the overlapping populations with higher (or lower) results. It depends on having large databases to give confidence in the extrapolation of the narrow portion of overall distribution representing unaffected individuals. The statistical issues involved can be complex, and can result in unintended bias, particularly when the impacts of disease and the physiological variations in the data are under appreciated.

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Nagakura, Yukinori, Hideaki Kato, Satoshi Asano, Yasuhiro Jinno, and Shigeharu Tanei. "The Significant Association between Health Examination Results and Population Health: A Cross-Sectional Ecological Study Using a Nation-Wide Health Checkup Database in Japan." International Journal of Environmental Research and Public Health 18, no. 2 (January 19, 2021): 836. http://dx.doi.org/10.3390/ijerph18020836.

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In Japan, population health with life expectancy (LE) and healthy life expectancy (HALE) as indicators varies across the 47 prefectures (administrative regions). This study investigates how health examination results, including attitude toward improving life habits, are associated with population health. The association between health checkup variables and summary population health outcomes (i.e., life expectancy and healthy life expectancy) was investigated using a cross-sectional ecological design with prefectures as the unit of analysis. The medical records, aggregated by prefecture, gender, and age in the National Database of Health Insurance Claims and Specific Health Checkups of Japan (NDB) Open Data Japan, were used as health checkup variables. Body weight, blood pressure, liver enzymes, drinking habits, smoking habits, diabetes, serum lipids, and answers to questions regarding attitude toward improving health habits were significantly correlated to population health outcomes. Multiple regression analysis also revealed significant influence of these variables on population health. This study highlights that health examination results, including attitude toward improving health habits, are positively associated with population health. Consequently, implementing measures to improve health habits in response to the examination results could help the population maintain a healthy life.

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Pi, Rou, Yanmei Chen, Yijie Du, and Suzhen Dong. "Comprehensive Analysis of Myoferlin in Human Pancreatic Cancer via Bioinformatics." BioMed Research International 2021 (December 16, 2021): 1–17. http://dx.doi.org/10.1155/2021/2602322.

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Pancreatic cancer is the fourth leading cause of cancer-related death and urgently needs biomarkers for clinical diagnosis and prognosis. It has been reported that myoferlin (MYOF) is implicated in the regulation of proliferation, invasion, and migration of tumor cells in many cancers including pancreatic cancer. To confirm the prognostic value of MYOF in pancreatic cancer, a comprehensive cancer versus healthy people analysis was conducted using public data. MYOF mRNA expression levels were compared in many kinds of cancers including pancreatic cancer via the Oncomine and Gene Expression Profiling Interactive Analysis (GEPIA) databases. The results have shown that MYOF mRNA expression levels were upregulated in most types of cancers, especially in pancreatic cancer, compared with healthy people’s tissues. Data from the Cancer Cell Line Encyclopedia (CCLE) and European Bioinformatics Institute (EMBL-EML) database also revealed that MYOF mRNA is highly expressed in most cancer cells, particularly in pancreatic cancer cell lines. Furthermore, the prognostic value of MYOF was evaluated using GEPIA and Long-term Outcome and Gene Expression Profiling Database of pan-cancers (LOGpc) database. Higher expression of MYOF was associated with poorer overall survival, especially in the lower stage and lower grade. Coexpressed genes, possible regulators, and the correlation between MYOF expressions were analyzed via the GEPIA and LinkedOmics database. Nineteen coexpressed genes were identified, and most of these genes were related to cancer. The Tumor Immune Estimation Resource (TIMER) database was used to analyze the correlation between MYOF and immune response. Notably, we found that MYOF might have a potential novel immune regulatory role in tumor immunity. These results support that MYOF is a candidate prognostic biomarker for pancreatic cancer, which calls for further genomics research of pancreatic cancer and deeply functional studies on MYOF.

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Ohri-Vachaspati, Punam, Diane Martinez, Michael J. Yedidia, and Nirvana Petlick. "Improving Data Accuracy of Commercial Food Outlet Databases." American Journal of Health Promotion 26, no. 2 (November 2011): 116–22. http://dx.doi.org/10.4278/ajhp.100120-quan-21.

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Purpose. Assessing food environments often requires using commercially available data. Disparate methods used for classifying food outlets in these databases call for creating a classification approach using common definitions. A systematic strategy for reclassifying food stores and restaurants, as they appear in commercial databases, into categories that differentiate the availability of healthy options is described here. Design and Setting. Commercially available data on food outlets including names, addresses, North American Industry Classification System codes, and associated characteristics was obtained for five New Jersey communities. Analysis. A reclassification methodology was developed using criteria and definitions from the literature to categorize food outlets based on availability of healthy options. Information in the database was supplemented by systematic Internet and key word searches, and from phone calls to food outlets. Results. The methodology resulted in 622 supermarket/grocery stores, 183 convenience stores, and 148 specialty stores in the original data to be reclassified into 58 supermarkets, 30 grocery stores, 692 convenience stores, and 115 specialty stores. Outlets from the original list of 1485 full-service restaurants and 506 limited-service restaurants were reclassified as 563 full-service restaurants and 1247 limited-service restaurants. Reclassification resulted in less than one-seventh the number of supermarkets and grocery stores, more than three times the number of convenience stores, and twice as many limited-service restaurants—a much less healthy profile than the one generated by using exclusively the commercial databases. Conclusion. An explicit and replicable strategy is proposed for reclassifying food outlets in commercial databases into categories that differentiate on the basis of healthy food availability. The intent is to contribute towards building a consensus among researchers on definitions used in public health research for characterizing different types of food outlets.

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Sasmitha, Nur Ridha, Hasnah, and Eny Sutria. "Health Education About Clean and Healthy Living Behavior (PHBS) To Increased Knowledge of School Age Children: Systematic Review." Journal Of Nursing Practice 3, no. 2 (April 29, 2020): 279–85. http://dx.doi.org/10.30994/jnp.v3i2.96.

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Background: In school-age children, the most common problem is clean and healthy living behavior, one way to improve clean and healthy living behavior by providing health education.Purpose: This study aimed to identify and analyze available scientific evidence about the effectiveness of health education on improving the knowledge of school-age children.Methods: This research method uses quantitative descriptive design with systematic review approach. Literature search through database: Google Scholar, Garuda Portal, Indonesian Scientific Journal Database and International Journal of Social Science and Humanity with structured research questions using keywords using the PICO method (Patient, Intervention, Comparison of Intervention and Outcome).Results: There were 83 articles identified, only 6 that met the inclusion criteria were analyzed using Duffy's Research Appraisal Checklist Approach.Conclusion: Health education with the media is very effective in increasing the knowledge of school-age children about PHBS, the media obtained from a variety of literature, namely education with snakes and ladders, quiz games, pocket book media, video media, poster methods, and dance video methods. Health Education with the media is very effective in increasing the knowledge of school-age children found in this review to be used as an intervention in health education

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Savli, Markus, Andreas Bauer, Markus Mitterhauser, Yu-Shin Ding, Andreas Hahn, Tina Kroll, Alexander Neumeister, et al. "Normative database of the serotonergic system in healthy subjects using multi-tracer PET." NeuroImage 63, no. 1 (October 2012): 447–59. http://dx.doi.org/10.1016/j.neuroimage.2012.07.001.

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Junhasavasdikul, Thitiporn, Aryan Abadeh, Mirkamal Tolend, and Andrea S. Doria. "Developing a reference MRI database for temporomandibular joints in healthy children and adolescents." Pediatric Radiology 48, no. 8 (May 22, 2018): 1113–22. http://dx.doi.org/10.1007/s00247-018-4142-8.

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Burman, Nitin, Claudia Manetti, Paulo Tostes, Joost Lumens, and Jan D'hooge. "A pipeline to enable large-scale generation of diverse 2D cardiac synthetic ultrasound recordings corresponding to healthy and heart failure virtual patients." Journal of the Acoustical Society of America 152, no. 4 (October 2022): A279. http://dx.doi.org/10.1121/10.0016267.

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Simulated ultrasound (US) data are widely used in echocardiography to develop and validate rapidly growing convolutional neural networks (CNNs) based learning algorithms for image processing and analysis. In this context, a large and diverse database of synthetic US scans is considered vital for CNN training purposes, as clinical US data are scarce and difficult to access. Major hurdles in creating an extensive database are the long US simulation time and unstable heart models for extreme parameter settings. Here, we developed and implemented a cardiac US simulation pipeline that kinematically connects two state-of-the-art solutions in the field of US simulation (COLE) and cardiac modelling (CircAdapt), benefiting from the fast simulation time of the convolution-based ultrasound simulator and stability of the mechanical heart model to produce 2D synthetic cardiac US recordings. Furthermore, using our pipeline, we generated diverse set of 600 2D synthetic cardiac US recordings of healthy and heart failure virtual patients with variations in the shapes, motion patterns, and functions of the heart, along with their ground truth 2D myocardial velocity profiles and deformation curves. The resulting database is a potential tool for augmenting training databases of machine learning based US image processing algorithms. [Work funded by European Union’s Horizon 2020 research and innovation programme under the Marie Sklodowska-Curie grant agreement No. 860745.]

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Brandstetter, Susanne, Jana Rüter, Janina Curbach, and Julika Loss. "A systematic review on empowerment for healthy nutrition in health promotion." Public Health Nutrition 18, no. 17 (February 15, 2015): 3146–54. http://dx.doi.org/10.1017/s1368980015000270.

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AbstractObjectiveThe present review aimed to identify and synthesize studies that used an empowerment approach within the field of healthy nutrition.DesignA systematic review was conducted. Studies were identified by database searching (PubMed, PsycINFO, Web of Science and Psyndex). Searching, selecting and reporting were done according to the PRISMA (Preferred Reporting Items for Systematic reviews and Meta-Analyses) Statement.SettingHealth promotion including the subject of healthy nutrition.SubjectsIndividuals from non-clinical populations.ResultsA total of 1226 studies were screened for eligibility, eight studies were finally included. Three studies used the empowerment approach within a qualitative research paradigm and five studies within (quasi-) experimental intervention studies. Heterogeneity in settings, samples and evaluation methods was high. Most studies referred to the key message of empowerment, i.e. taking control over one’s own life. However, the ways in which this key message was implemented in the interventions differed considerably.ConclusionsThe number of studies included was very low. Furthermore, most studies had some limitations in terms of reporting how the empowerment approach was actually applied. The empowerment approach still seems to be unfamiliar within the field of healthy nutrition.

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Duffy, Frank H. "Long Latency Evoked Potential Database for Clinical Applications: Justification and Examples." Clinical EEG and Neuroscience 36, no. 2 (April 2005): 88–98. http://dx.doi.org/10.1177/155005940503600208.

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We summarize our experience with the clinical utility of long latency evoked potential (EP) data in clinical qEEG studies. In contrast to common wisdom, such EP data are consistent across appropriately chosen age groups. In a healthy adult population, EP data correlate consistently with independently collected psychological variables. In our pediatric referral population, EP data are of greatest and most unique value in the learning disabilities but also augment detection of abnormality in epilepsy and behavioral abnormality. Selection of subjects for a clinical database on the basis of examined medical, neurological and behavioral health, forms adequately consistent groupings for clinical utility. The use of the Z-SPM is essential for detection of EP abnormality. A minimum of three replications within a clinical study protects against chance/false positives. Also, the true data dimensionality within EP data sets is far less than the total number of variables typically collected.

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Popovic, Natasa, Stela Vujosevic, Miroslav Radunović, Miodrag Radunović, and Tomo Popovic. "TREND database: Retinal images of healthy young subjects visualized by a portable digital non-mydriatic fundus camera." PLOS ONE 16, no. 7 (July 23, 2021): e0254918. http://dx.doi.org/10.1371/journal.pone.0254918.

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Topological characterization of the Retinal microvascular nEtwork visualized by portable fuNDus camera (TREND) is a database comprising of 72 color digital retinal images collected from the students of the Faculty of Medicine at the University of Montenegro, in the period from February 18th to March 11th 2020. The database also includes binarized images of manually segmented microvascular networks associated with each raw image. The participant demographic characteristics, health status, and social habits information such as age, sex, body mass index, smoking history, alcohol use, as well as previous medical history was collected. As proof of the concept, a smaller set of 10 color digital fundus images from healthy older participants is also included. Comparison of the microvascular parameters of these two sets of images demonstrate that digital fundus images recorded with a hand-held portable camera are able to capture the changes in patterns of microvascular network associated with aging. The raw images from the TREND database provide a standard that defines normal retinal anatomy and microvascular network geometry in young healthy people in Montenegro as it is seen with the digital hand-held portable non-mydriatic MiiS HORUS Scope DEC 200.This knowledge could facilitate the application of this technology at the primary level of health care for large scale telematic screening for complications of chronic diseases, such as hypertensive and diabetic retinopathy. In addition, it could aid in the development of new methods for early detection of age-related changes in the retina, systemic chronic diseases, as well as eye-specific diseases. The associated manually segmented images of the microvascular networks provide the standard that can be used for development of automatic software for image quality assessment, segmentation of microvascular network, and for computer-aided detection of pathological changes in retina. The TREND database is freely available at https://doi.org/10.5281/zenodo.4521043.

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Marques, Adilson, Yolanda Demetriou, Riki Tesler, Élvio R. Gouveia, Miguel Peralta, and Margarida Gaspar de Matos. "Healthy Lifestyle in Children and Adolescents and Its Association with Subjective Health Complaints: Findings from 37 Countries and Regions from the HBSC Study." International Journal of Environmental Research and Public Health 16, no. 18 (September 7, 2019): 3292. http://dx.doi.org/10.3390/ijerph16183292.

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Background: It is important to clearly understand the factors associated with subjective health complaints. The study aimed to investigate the relationship between subjective health complaints, several health behaviors, and a composite measure of healthy lifestyle. Methods: Data were from the Health Behaviour in School-aged Children (HBSC) 2014 international database. Participants were 167,021 children and adolescents, aged 10–16 years, from 37 countries and regions. A composite score of healthy lifestyle was created using a combination of daily physical activity, daily consumption of fruit and vegetables, <2 hours spent daily in screen-based behaviors, no drinking, and no smoking. The subjective health complaints assessed were headaches, stomach aches, backache, dizziness, feeling low, irritability, nervousness, and sleep difficulties. Results: Those who engage in physical activity every day, spend less than two hours a day in screen-based behaviors, do not drink alcohol, and do not smoke tobacco presented a higher likelihood of not having subjective health complaints. A healthy lifestyle was significantly related to having less of all the subjective health complaints. Those with a healthy lifestyle were 50% (OR = 0.5, 95% CI: 0.5–0.6, p < 0.001) less likely to have multiple health complaints. Conclusions: Healthy behaviors and healthy lifestyles are related with less subjective health complaints and less multiple health complaints.

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King, Sarah, Julie Glanville, Mary Ellen Sanders, Anita Fitzgerald, and Danielle Varley. "Effectiveness of probiotics on the duration of illness in healthy children and adults who develop common acute respiratory infectious conditions: a systematic review and meta-analysis." British Journal of Nutrition 112, no. 1 (April 29, 2014): 41–54. http://dx.doi.org/10.1017/s0007114514000075.

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Recent systematic reviews have reported a positive, although modest, effect of probiotics in terms of preventing common cold symptoms. In this systematic review, the effect of probiotics, specifically Lactobacillus and Bifidobacterium strains, on the duration of acute respiratory infections in otherwise healthy children and adults was evaluated. To identify relevant trials, eight databases, including MEDLINE, Embase, the Cochrane Database of Systematic Reviews (CDSR), the Cochrane Central Register of Controlled Trials (CENTRAL), the Database of Abstracts of Reviews of Effects (DARE), Health Technology Assessment (HTA), Science Citation Index (SCI) and OAISTER, were searched from inception to 20 July 2012. Details regarding unpublished studies/databases were also obtained from probiotic manufacturers. Study selection, data extraction and quality assessment were carried out by two reviewers. Risk of bias was assessed using criteria adapted from those published by the Centre for Reviews and Dissemination. In this review, twenty randomised controlled trials (RCT) were included, of which twelve were considered to have a low risk of bias. Meta-analysis revealed significantly fewer numbers of days of illness per person (standardised mean difference (SMD) − 0·31 (95 % CI − 0·41, − 0·11), I2= 3 %), shorter illness episodes by almost a day (weighted mean difference − 0·77 (95 % CI − 1·50, − 0·04), I2= 80 %) (without an increase in the number of illness episodes), and fewer numbers of days absent from day care/school/work (SMD − 0·17 (95 % CI − 0·31, − 0·03), I2= 67 %) in participants who received a probiotic intervention than in those who had taken a placebo. Reasons for heterogeneity between the studies were explored in subgroup analysis, but could not be explained, suggesting that the effect sizes found may differ between the population groups. This systematic review provides evidence from a number of good-quality RCT that probiotics reduce the duration of illness in otherwise healthy children and adults.

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Jang, Won Young, Woohyeun Kim, Dong Oh Kang, Yoonjee Park, Jieun Lee, Jah Yeon Choi, Seung-Young Roh, et al. "Reference Values for Cardiorespiratory Fitness in Healthy Koreans." Journal of Clinical Medicine 8, no. 12 (December 12, 2019): 2191. http://dx.doi.org/10.3390/jcm8122191.

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We investigated reference values for cardiorespiratory fitness (CRF) for healthy Koreans and Koreans with coronary heart disease (CHD) and used them to identify inter-ethnic differences in CRF, differences over time in CRF, and differences in CRF between the healthy population and patients with CHD. The study population for healthy Koreans was derived from the database of KISS FitS (Korea Institute of Sports Science Fitness Standards) between 2014 and 2015. The study population for Koreans with CHD was derived from the database of the Korea University Guro Hospital Cardiac Rehabilitation Registry between June 2015 and December 2018. In healthy Koreans, there was a significant difference between sex and age groups for VO2 max. The VO2 max of healthy Koreans differed from that of Westerners in age-related reference values. Our results were not significantly different from those of the Korean population in the past, except for a small decline in the young population. There seemed to be a clear inter-ethnic difference in CRF. We could also identify signs of small change in CRF in younger age groups. Therefore, CRF should be assessed according to ethnic or national standards, and it will be necessary to establish a reference for each nation or ethnicity with periodic updates.

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Dale, Hannah, Linsay Brassington, and Kristel King. "The impact of healthy lifestyle interventions on mental health and wellbeing: a systematic review." Mental Health Review Journal 19, no. 1 (March 5, 2014): 1–26. http://dx.doi.org/10.1108/mhrj-05-2013-0016.

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Purpose – There is growing evidence that health behaviour change interventions are associated with mental health and wellbeing improvements. This paper aims to examine the effect of healthy lifestyle interventions on mental wellbeing. Design/methodology/approach – Six databases (Medline, Evidence Based Medicine Cochrane Registered Controlled Trials, Evidence Based Medicine Full Text Reviews, British Nursing Index, Embase, PsycINFO) were searched from database commencement up to April 2013. A broad focus on lifestyle interventions and mental health and wellbeing outcomes was chosen. Papers were systematically extracted by title then abstract according to predefined inclusion and exclusion criteria. Inclusion criteria: any individual population (non-couple/family); any health behaviour change interventions; mental health and wellbeing outcomes; and a one-two level of evidence. Interventions aimed at workers were excluded, as were articles assessing cognitive functioning rather than mental health or wellbeing, or those using medications in interventions. Findings – Two authors reviewed 95 full papers. In total, 29 papers met inclusion criteria, representing a range of interventions spanning physical activity, diet, alcohol intake, drug use and smoking. A range of measures were used. The majority (n=25) of studies demonstrated improvements on at least one indicator of mental health and wellbeing. Limitations include the broad range of outcome measures used, varied follow-up times and the lack of detail in reporting interventions. Originality/value – Health behaviour change interventions targeting physical outcomes appear to have benefits to mental health and wellbeing spanning healthy populations and those with physical or mental health problems. Evidence is strongest for interventions targeting exercise and diet, particularly in combination and the actual lifestyle changes made and adherence appear to be important. However, it is not clear from this review which specific components are necessary or essential for improvements in mental health and wellbeing.

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Ridker, Paul M., Daniel I. Chasman, Robert Y. L. Zee, Alex Parker, Lynda Rose, Nancy R. Cook, and Julie E. Buring. "Rationale, Design, and Methodology of the Women’s Genome Health Study: A Genome-Wide Association Study of More Than 25 000 Initially Healthy American Women." Clinical Chemistry 54, no. 2 (February 1, 2008): 249–55. http://dx.doi.org/10.1373/clinchem.2007.099366.

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Abstract The primary aim of the Women’s Genome Health Study (WGHS) is to create a comprehensive, fully searchable genome-wide database of >360 000 single nucleotide polymorphisms among at least 25 000 initially healthy American women participating in the ongoing NIH-funded Women’s Health Study (WHS). These women have already been followed over a 12-year period for major incident health events including but not limited to myocardial infarction, stroke, cancer, diabetes, osteoporosis, venous-thromboembolism, cognitive decline, and common visual disorders such as age- related macular degeneration and cataracts. Investigations within the WGHS will seek to identify relevant patterns of genetic polymorphism that predict future disease states in otherwise healthy American women, and to evaluate patterns of genetic polymorphism that relate to multiple intermediate phenotypes including blood-based determinants of disease that were measured at baseline for each study participant. By linking genome-wide data to the existing epidemiologic databank of the parent WHS, which includes comprehensive dietary, behavioral, and traditional exposure data on each participant since cohort inception in 1992, the WGHS will also allow exploration of gene-environment and gene-gene interactions as they relate to incident disease states. Thus, with continued follow-up of the WHS, the WGHS provides a unique scientific resource—a full-cohort, prospective, genome-wide association study among initially healthy American women.

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Jekova, Irena, and Giovanni Bortolan. "Personal Verification/Identification via Analysis of the Peripheral ECG Leads: Influence of the Personal Health Status on the Accuracy." BioMed Research International 2015 (2015): 1–13. http://dx.doi.org/10.1155/2015/135676.

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Traditional means for identity validation (PIN codes, passwords), and physiological and behavioral biometric characteristics (fingerprint, iris, and speech) are susceptible to hacker attacks and/or falsification. This paper presents a method for person verification/identification based on correlation of present-to-previous limb ECG leads: I (rI), II (rII), calculated from them first principal ECG component (rPCA), linear and nonlinear combinations betweenrI,rII, andrPCA. For the verification task, the one-to-one scenario is applied and threshold values forrI,rII, andrPCAand their combinations are derived. The identification task supposes one-to-many scenario and the tested subject is identified according to the maximal correlation with a previously recorded ECG in a database. The population based ECG-ILSA database of 540 patients (147 healthy subjects, 175 patients with cardiac diseases, and 218 with hypertension) has been considered. In addition a common reference PTB dataset (14 healthy individuals) with short time interval between the two acquisitions has been taken into account. The results on ECG-ILSA database were satisfactory with healthy people, and there was not a significant decrease in nonhealthy patients, demonstrating the robustness of the proposed method. With PTB database, the method provides an identification accuracy of 92.9% and a verification sensitivity and specificity of 100% and 89.9%.

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Journal articles on the topic 'Healthy database'

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