Relevant bibliographies by topics / Age factors

Academic literature on the topic 'Age factors'

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Published: 4 June 2021
Last updated: 31 July 2024

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Journal articles on the topic "Age factors"

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&NA;. "DEMOGRAPHIC FACTORS: AGE." Journal of Trauma: Injury, Infection, and Critical Care 51, Supplement (August 2001): S51—S52. http://dx.doi.org/10.1097/00005373-200108001-00013.

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Liu, S., J. Huang, X. Wang, and Y. Ma. "Transcription factors regulate adipocyte differentiation in beef cattle." Animal Genetics 51, no. 3 (April 6, 2020): 351–57. http://dx.doi.org/10.1111/age.12931.

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Sánchez-Andrés, A. "Genetic and environmental factors affecting menarcheal age in Spanish women." Anthropologischer Anzeiger 55, no. 1 (March 1, 1997): 69–78. http://dx.doi.org/10.1127/anthranz/55/1997/69.

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ABH, Parenti. "Factors Associated with Bacterial Vaginosis in Women of Reproductive Age." Open Access Journal of Gynecology 8, no. 3 (July 5, 2023): 1–8. http://dx.doi.org/10.23880/oajg-16000263.

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The BV is the most prevalent alteration of the vaginal microbiota and constitutes an important public health problem, the prevalence varies by age, ethnicity, socioeconomic factors, and geographic region and the risk factors associated with this condition, are included the number of sexual partners, the use of the intrauterine device, use of vaginal douche, hygiene habits and sexual practices/behaviors. To determine the prevalence and factors associated with bacterial vaginosis in women of reproductive age. Cross-sectional study was developed in Botucatu, Brazil, including 315 women. Data were obtained by applying a questionnaire and gynecological examination, with sample collection for analysis of the vaginal microbiota pattern, according to the Nugent scoring system. The association between independent variables and outcome was performed using a regression model. The variables that most influenced the outcome (p<0.20) were taken to the multiple logistic regression model and those independently associated with the outcome (p<0.05) were identified. The prevalence of bacterial vaginosis was 32% (101/315) and the associated variables were: not living with a partner [1.13(1.02-1.25), p=0.021], use of vaginal douche [1.42(1.22-1.64), p=0.000] and genital hair removal [1.19(1.01-1.42), p=0.042]. Results point to the importance of screening for this vaginal dysbiosis in routine gynecological care and suggest the importance of health professionals conducting guidance on proper intimate hygiene practices for women.
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McIntosh, G. C., and M. L. Katcher. "Pediatric Drowning: Age-related Factors." AAP Grand Rounds 11, no. 2 (February 1, 2004): 20–21. http://dx.doi.org/10.1542/gr.11-2-20.

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Boyland, E. "Age-related factors in carcinogenesis." Occupational and Environmental Medicine 43, no. 7 (July 1, 1986): 504. http://dx.doi.org/10.1136/oem.43.7.504.

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Burgess, Ann Wolbert, Allen G. Burgess, Steven A. Koehler, Joseph Dominick, and Cyril H. Wecht. "Age-Based Factors in Femicide." Journal of Forensic Nursing 1, no. 4 (June 28, 2008): 151–57. http://dx.doi.org/10.1111/j.1939-3938.2005.tb00037.x.

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Burgess, Ann Wolbert, Allen G. Burgess, Steven A. Koehler, Joseph Dominick, and Cyril H. Wecht. "Age-Based Factors in Femicide." Journal of Forensic Nursing 1, no. 4 (December 2005): 151–57. http://dx.doi.org/10.1097/01263942-200512000-00002.

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Moriarty, F. "Age-related factors in carcinogenesis." Environmental Pollution Series A, Ecological and Biological 42, no. 2 (January 1986): 184. http://dx.doi.org/10.1016/0143-1471(86)90009-7.

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Lilleyman, J. "Age-Related Factors in Carcinogenesis." Journal of Clinical Pathology 39, no. 8 (August 1, 1986): 930. http://dx.doi.org/10.1136/jcp.39.8.930-b.

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Dissertations / Theses on the topic "Age factors"

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Whiting, Wythe Lawler IV. "Influence of age, retrieval task, and working memory on dual-task performance." Thesis, Georgia Institute of Technology, 1996. http://hdl.handle.net/1853/28566.

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Earles, Julie Lynn. "The effects of environmental context on memory : an examination of age differences." Thesis, Georgia Institute of Technology, 1992. http://hdl.handle.net/1853/28634.

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Saylor, Laurie. "Investigating the relationship between metamemory and memory performance predictions." Thesis, Georgia Institute of Technology, 1990. http://hdl.handle.net/1853/28772.

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Campbell, Regan Helen. "An age-related comparison of audio and audio plus video presentation modes for conveying technical information." Thesis, Georgia Institute of Technology, 2000. http://hdl.handle.net/1853/28612.

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Whiting, Wythe L. IV. "Effects of elaboration on age differences in memory performance." Diss., Georgia Institute of Technology, 1998. http://hdl.handle.net/1853/28757.

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Fleece, Amy Mattina. "Remembering to remember : does event-based prospective memory decline with Age?" Thesis, Georgia Institute of Technology, 1994. http://hdl.handle.net/1853/28618.

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Meinz, Elizabeth J. "When can experience reduce age differences in cognitive tasks? : a study of musical memory." Diss., Georgia Institute of Technology, 1998. http://hdl.handle.net/1853/28791.

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Earles, Julie Lynn. "Influence of type of material to be remembered on adult age differences in memory performance : is there something special about performed activities?" Diss., Georgia Institute of Technology, 1994. http://hdl.handle.net/1853/28864.

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McGuire, Christy L. "Age differences in recall, strategies and estimation accuracy on free recall task." Thesis, Georgia Institute of Technology, 1997. http://hdl.handle.net/1853/29198.

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Colônia, Regina Célia. "Adult age differences in memory for lateral orientation of pictures." Thesis, Georgia Institute of Technology, 1992. http://hdl.handle.net/1853/29327.

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Books on the topic "Age factors"

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Stoicescu, Nicolae. Age-old factors of Romanian unity. București: Editura Academiei Republich Socialiste România, 1986.

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inc, Medcom, and Cinema House Films, eds. Age-specific care: Adults. Cypress, CA: Medcom Trainex, 2008.

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1949-, Shulman Kenneth I., Tohen Mauricio, and Kutcher Stanley P, eds. Mood disorders across the life span. New York: Wiley-Liss, 1996.

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I, Shulman Kenneth, Tohen Mauricio, and Kutcher Stanley P, eds. Mood disorders across the life span / edited by Kenneth I. Shulman, Mauricio Tohen, Stanley P. Kutcher. New York: Wiley, 1996.

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ed, Likhachev A., Anisimov Vladimir N. ed, Montesano R. ed, and International Agency for Research on Cancer., eds. Age-related factors in carcinogenesis: Proceedings of a symposium. Lyon: International Agency for Research on Cancer, 1985.

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A, Likhachev, Anisimov Vladimir N, Montesano R, International Agency for Research on Cancer., and Nauchno-issledovatelʹskiĭ institut onkologii im. N.N. Petrova., eds. Age-related factors in carcinogenesis: Proceedings of symposium organized by the IARC and the N.N. Petrov Research Institute of Oncology, held in Leningrad, 7-9 December 1983. Lyon: International Agency for Research on Cancer, 1985.

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L, Kwitko Marvin, and Weinstock Frank J. 1933-, eds. Geriatric ophthalmology. Orlando: Grune & Stratton, 1985.

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Salthouse, Timothy. A theory of cognitive aging. Amsterdam: North-Holland, 1985.

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Gose, Kathleen. Dealing with memory changes as you grow older. Toronto: Seal Books, 1988.

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W, Moskowitz Roland, Haug Marie R, Northeast Ohio Multipurpose Arthritis Center., and Case Western Reserve University. Center on Aging and Health., eds. Arthritis and the elderly. New York: Springer Pub. Co., 1986.

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Book chapters on the topic "Age factors"

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Thota, Sai Laxmi Alekhya, Ajay Kumar, and Aditya Somani. "Age Factors: Male Reproductive Health." In Encyclopedia of Sexual Psychology and Behavior, 1–5. Cham: Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-031-08956-5_27-1.

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Yu, Penghua, Lanfen Lin, Feng Wang, Jing Wang, and Meng Wang. "Improving Recommendations with Collaborative Factors." In Web-Age Information Management, 30–33. Cham: Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-08010-9_4.

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Agarwal, Anita. "Epidemiology, Genetics, and Modifiable Risk Factors." In Age-Related Macular Degeneration, 1–14. Boca Raton: CRC Press, 2024. http://dx.doi.org/10.1201/9781003522553-1.

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Short, R. E., R. B. Staigmiller, R. A. Bellows, and R. C. Greer. "Breeding Heifers at One Year of Age: Biological and Economic Considerations." In Factors Affecting Calf Crop, 55–60. Boca Raton: CRC Press, 2021. http://dx.doi.org/10.1201/9781003069119-4.

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McElnay, J. C., and P. F. D’Arcy. "Age and Genetic Factors in Drug Interactions." In Mechanisms of Drug Interactions, 279–304. Berlin, Heidelberg: Springer Berlin Heidelberg, 1996. http://dx.doi.org/10.1007/978-3-642-61015-8_10.

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Holford, Theodore R. "Modeling factors affecting age, period and cohort trends." In Age, Period and Cohort Effects, 117–41. New York : Routledge, 2020.: Routledge, 2020. http://dx.doi.org/10.4324/9780429056819-7.

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Krenn, Michael L. "Domestic Factors II." In Race and U.S. Foreign Policy from Colonial Times through the Age of Jackson, 260–303. New York: Routledge, 2021. http://dx.doi.org/10.4324/9780203822425-11.

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Chong, Sandy. "Influencing Factors of Electronic Commerce Adoption by Small-and Medium-sized Enterprises in Australia." In Information Age Economy, 945–55. Heidelberg: Physica-Verlag HD, 2001. http://dx.doi.org/10.1007/978-3-642-57547-1_84.

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Schütt, Florian, and Frank G. Holz. "Age-Related Macular Degeneration: Current Concepts of Pathogenesis and Risk Factors." In Age-Related Macular Degeneration, 3–10. Berlin, Heidelberg: Springer Berlin Heidelberg, 2001. http://dx.doi.org/10.1007/978-3-642-56439-0_1.

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Beaudry-Godin, Mélissa, Robert Bourbeau, and Bertrand Desjardins. "Extreme Longevity in Quebec: Factors and Characteristics." In Demographic Research Monographs, 169–90. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-49970-9_12.

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AbstractThe recent decrease in adult and late-life mortality led to a very rapid increase in the number of centenarians within low mortality countries. This chapter examines the increase in the number of centenarians in Quebec (Canada) across birth cohorts (1871–1901), and outlines some of the underlying demographic mechanisms involved. We study the demographic situation of centenarians from Quebec (Canada) using all aggregated data available since 1871 (census data, vital statistics, and population estimations). Census data and population estimates are taken from Statistics Canada, while vital statistics come from the Canadian Human Mortality Database (CHMD, 2014 www.bdlc.umontreal.ca) and the Institut de la statistique du Québec.With demographic indicators such as the centenarian ratio, the survival probabilities and the maximal age at death, we try to demonstrate the remarkable progress realised in old age mortality. We also analyze the determinants of the increase in the number of centenarians in Quebec: increase in the size of birth cohorts, increase in the probabilities of surviving from birth to age 80 and from age 80 to 100 for specific cohorts, change in the number of persons aged 100 and over relative to the number of persons reaching exact age 100 and net change due to migration and other factors (errors). This decomposition shows that, among the factors identified, the improvement in late-life mortality (from age 80 to 100) is the main determinant of the increase of the number of centenarians.This study stresses the importance of monitoring the number as well as the quality of life of this emerging population of centenarians. It also helps us gain greater perspective on what should be expected in the coming years among low mortality countries such as Canada.
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Conference papers on the topic "Age factors"

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Bull, Christopher N., Will Simm, Bran Knowles, Oliver Bates, Nigel Davies, Anindita Banerjee, Lucas Introna, and Niall Hayes. "Mobile Age." In CHI '17: CHI Conference on Human Factors in Computing Systems. New York, NY, USA: ACM, 2017. http://dx.doi.org/10.1145/3027063.3053244.

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Diaz De Teran Lopez, Teresa, Laura Sanchez Moreno, Kimberley Lee, Cristina Magadan Alvarez, Victor Mora Cuesta, Sara Naranjo Gozalo, Beatriz Abascal Bolado, et al. "Prognostic factors in lung cancer:is age an independent predictive factor?" In ERS International Congress 2019 abstracts. European Respiratory Society, 2019. http://dx.doi.org/10.1183/13993003.congress-2019.pa3045.

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Priluckaya-Manshilina, Yana, Nadezhda Vadimovna Gromova, and Il'ya Vdodovich. "Cardiometabolic risk factors identified during medical examination among women and men of working age and retirement age." In ISSUES OF ESTABLISHING THE SEVERITY OF HARM CAUSED TO HUMAN HEALTH AS A RESULT OF EXPOSURE TO A BIOLOGICAL FACTOR. ru: Publishing Center RIOR, 2024. http://dx.doi.org/10.29039/conferencearticle_664d8c0170dab0.48364064.

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The work shows the importance of medical examination to prevent the development of a number of diseases in patients of working age and retirement age. The structure of indicators of cardiometabolic risk factors in men and women of different ages has significant differences
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Yasar, Zehra, Aysel Kargi, Fahrettin Talay, Tuncer Tug, and Erdogan Cetinkaya. "Factors associated with smoking initiation age in adults." In Annual Congress 2015. European Respiratory Society, 2015. http://dx.doi.org/10.1183/13993003.congress-2015.pa1197.

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Park, J., J. Kim, H. K. Kim, J. Park, and S. R. Surani. "Early COPD Diagnosis: Age, Smoking, and Ethnicity Factors." In American Thoracic Society 2023 International Conference, May 19-24, 2023 - Washington, DC. American Thoracic Society, 2023. http://dx.doi.org/10.1164/ajrccm-conference.2023.207.1_meetingabstracts.a3940.

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Hornof, Anthony. "Session details: The age of searching." In CHI '10: CHI Conference on Human Factors in Computing Systems. New York, NY, USA: ACM, 2010. http://dx.doi.org/10.1145/3251825.

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Boguslavsky, Michael V. "Factors Of Higher Education Development In The Information Age." In International Conference "Education Environment for the Information Age". Cognitive-crcs, 2017. http://dx.doi.org/10.15405/epsbs.2017.08.24.

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W. Cholewiak, Roger. "Do you feel... like I do? Individual Differences and Military Multi-Modal Displays." In Applied Human Factors and Ergonomics Conference. AHFE International, 2019. http://dx.doi.org/10.54941/ahfe100213.

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The design and implementation of multi-modal information displays can be affected by individual differences within the target user population. These differences manifest themselves at a number of sensory, perceptual, and cognitive levels. In general, such differences and their ranges are rarely taken into account in system design. Instances of significant differences among “normal” individuals will be considered particularly in the visual, auditory, and tactile sensory modalities. As will be discussed in this review of some of the pertinent literature, there can be substantial variation in sensation, perception, and cognition both within an age group as well as over the age span of the target population. For example, because the ages of military personnel can range over five or six decades, device designers have to account for the fact that levels of sensory sensitivity and acuity deteriorate significantly with age. This paper will survey a number of these individual differences, particularly those that have the potential for complicating the design and general application of informational displays for the military. Subtle variations in individual sensitivity and even perceptual “style” can undermine the “one-size-fits-all” philosophy of display design. These have the potential to affect the utility of the system under battlefield stress conditions.
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Augusto Ribeiro, António, and Miguel Corticeiro Neves. "Statistics of Accidents in the Portuguese Elderly Population: A Short Review." In Applied Human Factors and Ergonomics Conference. AHFE International, 2022. http://dx.doi.org/10.54941/ahfe1001336.

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This short review of accident statistics emerged from the need to characterize the loss ratio of the Portuguese population aged 65 or older (one-fifth of the resident population), as part of a larger ongoing study on national policies of risk management. Step three of five consisted of researching information on accident statistics within public organizations, within academic studies university programs and in full-papers. The statistical information obtained mainly reflects work accidents and does not include many of the other occupational activities of the elderly. The available information does not present data that support the characterization of the injured person, such as age. The elderly present individual conditions that characterize them as a vulnerable group when exposed to risk, with reflections in the accident rates. Considering the importance of human factors and the age of the injured person in the cause of the accidents, it seems appropriate and essential to specify the age of groups (65 or more years) in the accidents data, to respond to the information needs, to facilitate detection of changes in the level of occupational risk and products, as well as support the need for legislation and standardization of risk management issues in the activities of the Portuguese elderly population.
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Salehi, Faezeh, Manish Dixit, and Vahideh Karimimansoob. "How age relate to spatial orientation ability under simulated microgravity environments?" In 15th International Conference on Applied Human Factors and Ergonomics (AHFE 2024). AHFE International, 2024. http://dx.doi.org/10.54941/ahfe1004988.

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Spatial cognitive processing is a crucial element of human cognition, intricately influencing our understanding of spatial environments. Despite varying definitions, researchers concur that spatial ability encompasses skills like generating, visualizing, memorizing, and transforming visual information—a fundamental aptitude for tasks requiring visual and spatial acumen. Spatial orientation is one such ability that utilizes egocentric spatial encoding and contributes to human spatial ability. This study focuses on the evaluation of spatial orientation ability through the Perspective-Taking Ability (PTA) test. This test gauges participants' capacity to envision a view from an alternative. Stimuli include 5-6 routine objects placed on the perimeter of a circle, and participants are asked to mentally position themselves at one object facing another object and point to a third object. Scores depend on the degree of deviation from the correct direction in sexagesimal degrees. This nuanced evaluation explores spatial orientation and comprehension of an environment from diverse viewpoints. The PTA test was digitalized and integrated into Virtual Reality (VR) environments created in Unity 3D to depict three scenarios. The first scenario was the control group that included an earth-like setting in which the gravitation vertical, idiotropic axis of a participant, and the visual axis are aligned. The second scenario of experiment group 1 simulated spatial conditions of microgravity in space, which lacks gravitational vertical and has statically misaligned visual and idiotropic axes. In the third scenario, the misalignment is dynamic in that it is constantly changing around X, Y, and Z axes over the test session. The three study conditions were administered to 230 participants through HTC Vive Pro Eye head-mounted displays (HMDs). Participants’ responses were collected using a programming script and analyzed to understand how participants’ performance on the PTA test tasks varied between the three conditions and how their age moderated this influence. Participants were categorized into age groups: 18-22, 23-27, 28-32, 33-37, and 38+. The Mann-Whitney U test indicated a significant difference in response accuracy of the participants aged 23-27, 33-37, and 38 and above, indicating distinctive performance between the three study conditions. This means that static and dynamic misalignment influenced spatial orientation performance. Conversely, participants aged 28-32 showed no significant difference between the three conditions, indicating no impacts of the misaligned idiotropic and visual axes. Based on the Kruskal-Wallis test results, the age groups of 18-22 and 38+ revealed significant accuracy differences, whereas the age group 23-27 had highly significant differences. Conversely, the age group 28-32 showed no significant accuracy difference, suggesting comparable performance, whereas the age group 33-37 showed a significant accuracy difference. Results indicate a statistically significant accuracy difference among age groups, suggesting age group moderating the influence of misaligned axes on PTA scores. The pairwise age group comparisons using the Dunn's Post Hoc Test showed significant differences in accuracy for the 23-27 age group compared to the 18-22, 28-32, and 33-37 age groups, revealing age-related variations in spatial accuracy. In conclusion, our research unveiled a profound connection between age and accuracy, demonstrating pronounced differences among age groups.
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Reports on the topic "Age factors"

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Elliott, Jane, Maureen Muir, and Judith Green. Trajectories of everyday mobility at older age. Wellcome Centre for Cultures and Environments of Health, January 2023. http://dx.doi.org/10.58182/bnec3269.

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Background: This review and exploratory data analysis focuses on everyday mobility at older age; that is, travel outside the house for routine activities. Everyday mobility is an important determinant of health and wellbeing. Although there can be physiological reasons for declines in an individual’s capacity for mobility, trajectories are uneven. A social model of mobility at older age assumes that impairments due to bodily ageing do not inevitably lead to reduced mobility, and that policy and environmental interventions (such as transport provision, quality of built environment) can and should support mobile later lives. We scope the potential for a study of the conditions which foster trajectories of maintained or increased mobility over time, in an equitable way. Aims: With a focus on corporeal mobility in the UK (in particular England), and on social and environmental, rather than physiological factors, our aims were to: 1) scope the existing evidence on trajectories of mobility at older age; 2) assess the English Longitudinal Study of Ageing (ELSA) as a possible source of data on changes in mobility over time; 3) outline the potential for further research through identifying candidate analytical approaches and; draft an initial logic model to inform a study. Literature review findings: Literature on mobility at older age documents physiological, lifecourse, social, and environmental factors that shape trajectories of declining mobility, and the health and wellbeing consequences. There are complex and bidirectional relationships between determinants and consequences of mobility. Points of disruption in the lifecourse are points where mobility practices may change and are therefore potential points for interventions to promote greater mobility. A body of research demonstrates this through the case of concessionary bus travel for older adults in the UK, which both promotes greater mobility and appears to improve health status. There is a more mixed body of research on the environmental factors that can foster greater mobility: more research is needed on how to support mobility in place in the UK, particularly in settings outside urban centres. Compared to research on physiological factors, there is a relative dearth of evidence on population level interventions, with the exception of free bus travel. ELSA summary: The main strength of using the ELSA for understanding what influences trajectories of everyday mobility is that it is an eighteen-year longitudinal study with data collection every two years, focussing on those aged 50 and over. The sample is drawn from across England, detailed contextual information is available via linked geographical identifiers, and longitudinal and cross-sectional weights enable adjustment of the sample for non-response and attrition. The weaknesses (for studies of mobility) are the lack of fine-grained measures of ‘ability’ for many mobility indicators and the potential for reporting biases that intersect with measures of social and cultural capital. In this descriptive analysis, we document six separate measures of everyday mobility that can be derived from ELSA data, and map these to our logic model. Implications: The review identified the potential for studying the conditions for mobility at older age that could help identify and develop population level interventions. Focusing on points of disruption in the lifecourse is a potentially fruitful and tractable area of investigation. We have mapped indicators available from ELSA as a foundation for future study, and as a resource for other researchers. ELSA has some disadvantages for a study, but also many strengths. Given the complexity of causal pathways linking different conditions for maintained or increased mobility, an analysis approach directed specifically at multiple pathways (such as Qualitative Comparative Analysis) could well be fruitful."
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Kazenin, Konstantin, and Vladimir Kozlov. What factors support the early age patterns of fertility in a developing country: the case of Kyrgyzstan. Verlag der Österreichischen Akademie der Wissenschaften, August 2020. http://dx.doi.org/10.1553/populationyearbook2020.res04.

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Osorio, Itzel, Camillie Delevaux, Ricardo Perez-Cuevas, Gabriela García, Rene Kuster, Nanika Braithwaite, Brendalee Adderley, and Luis Tejerina. Associated Factors of Healthy Lifestyle in the Bahamas. Inter-American Development Bank, January 2018. http://dx.doi.org/10.18235/0009376.

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The Bahamas faces critical challenges due to an increase in chronic diseases (CDs). Overweight and obesity are on the rise among all age groups. In addition, the prevalence of raised blood glucose is 13% and that of high blood pressure is 31%. CDs are responsible for 45% of deaths in the country. The Ministry of Health has been implementing programs and interventions to slow the growth of CDs. These programs focus on tackling risk factors and developing both the National Dietary Guidelines and the nutrition interventions implemented in primary care facilities and in the community. This study is justifiable as it will help gain an in-depth understanding of the current patterns of healthy lifestyle among the Bahamian population to inform national efforts to address the growing problem of CDs. The objective of this study was to analyse and identify the determinants associated with healthy lifestyle in The Bahamas. The study was a secondary analysis of the 2013 Household Expenditure Survey (BHES-2013). The survey covered 2,123 households that were randomly selected throughout the country. The healthy lifestyle module registered data about eating habits and leisure time activities, such as exercising or watching television. The dependent variable selected for this study was the healthy lifestyle index (HLI), composed of four domains: healthy nutrition, healthy screen time, regular physical activity, and non-secondhand smoke. We find that a significant proportion of Bahamian children and adults require additional actions to facilitate improvement of their healthy lifestyle. Less than 8% eat fruits and vegetables three times per day, only one-third watch TV or play computer video games less than two hours per day, and only 30% practice regular physical activity. Teenagers tend to be sedentary. Lower-income level groups were less sedentary and had less screen time than upper-income level groups. Also, a child living in an extended family (two or more siblings) had a greater probability of living a healthy lifestyle. Similarly, being an adult (age 20 to 64 years) and being married or having a partner were associated with a greater likelihood of leading a healthy way of life.
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Hackenberg, Robert, and Jessica Lopez. Exploiting Commonly-Reported Age-Hardening Data and Discovering Systematics Across Metallic Alloys and Alloy Systems to Identify Corrosion’s Most Influential Factors. Office of Scientific and Technical Information (OSTI), September 2020. http://dx.doi.org/10.2172/1669060.

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Nolan, Anne, and Emer Smyth. Risk and protective factors for mental health and wellbeing in childhood and adolescence. ESRI, December 2021. http://dx.doi.org/10.26504/rs120.

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New ESRI research, based on Growing Up in Ireland, shows that strong relationships with parents, peers and teachers enhance child and adolescent wellbeing New ESRI research funded by HSE Health and Wellbeing, examines the risk and protective factors for mental health and wellbeing of children and young people. Using data from the Growing Up in Ireland ’08 Cohort at 9 years of age and the ’98 Cohort at 17 years of age, the research examined both positive (life satisfaction) and negative (socio-emotional difficulties) aspects of mental health and wellbeing. Socio-emotional difficulties refer to difficulties of an emotional nature (e.g., feeling unhappy, downhearted or tearful) or with peers (e.g., picked on or bullied).
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Shtienberg, Dan, William Fry, Amos Dinoor, Thomas Zitter, and Uzi Kafkafi. Reduction in Pesticide Use in Plant Disease Control by Integration of Chemical and Non-Chemical Factors. United States Department of Agriculture, May 1995. http://dx.doi.org/10.32747/1995.7613027.bard.

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The long term goal of this research project was to improve control efficiency of Alternaria diseases while reducing fungicide use, by integration of chemical and non-chemical factors. Non-chemical factors were genotype resistance, age-related resistance and fertilizers. The Specific objectives were: 1) To quantify changes in resistance among genotypes and over time in terms of disease development and specific phases of the disease cycle; 2) To quantify the effects of fertilizers applied to the foliage alone, or in combination with a fungicide, on disease development; 3) To quantify the relative contribution of genotype resistance, age-related resistance and fungicide type to the reduction of disease development; 4) To develop a strategy for integration of chemical and non-chemical factors which will achieve optimal disease suppression. The influence of physiological age of cotton plants and of the individual leaves, on disease incidence and on the rate of lesion expansion of A. macrospora was examined on leaves sampled from the field. Both parameters increased with the physiological age of individual leaves but were not affected by the age of the whole plant. The hypothesis that enrichment of the foliage with nitrogen and potassium may enhance host resistance to Alternaria and thus reduce disease severity, was examined for potato and tomato (A. solani ) and for cotton (A. macrospora ). Under controlled environment conditions, application of urea or KNO3 resulted in some reduction in disease development; however, foliar application of both nutrients (8-10 sprays in total) did not affect Alternaria severity in the field. Systemic fungicides against Alternaria (e.g. , tebuconazole and difenoconazole) are more effective than the commonly used protectant fungicides (e.g. mancozeb and chlorothalonil). Concepts for the integration of genotype resistance, age-related resistances and fungicide for the suppression of Alternaria diseases were developed and evaluated. It was found that reduction in host resistance, with age and among genotypes, can be compensated for by adjusting the intensity of fungicide applications, i.e. by increasing the frequency of sprays and by spraying systemic fungicides towards the end of the season. In, moderately resistant cultivars protection can be achieved by spraying at longer intervals than susceptible cultivars. The concepts for integration were evaluated in field trials for cotton, potatoes and tomatoes. By following these concepts it was possible to save up to five sprays out of 8-10 in a growing season.
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Sauer, Jennifer. Caught In The Scammer's Net: Risk Factors That May Lead to Becoming an Internet Fraud Victim, AARP Survey of American Adults Age 18 and Older. AARP Research, March 2014. http://dx.doi.org/10.26419/res.00076.001.

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Sauer, Jennifer. Caught In The Scammer's Net: Risk Factors That May Lead to Becoming an Internet Fraud Victim, AARP Survey of Arizona Adults Age 18 and Older. AARP Research, March 2014. http://dx.doi.org/10.26419/res.00076.002.

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Sauer, Jennifer. Caught In The Scammer's Net: Risk Factors That May Lead to Becoming an Internet Fraud Victim, AARP Survey of Arkansas Adults Age 18 and Older. AARP Research, March 2014. http://dx.doi.org/10.26419/res.00076.003.

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Sauer, Jennifer. Caught In The Scammer's Net: Risk Factors That May Lead to Becoming an Internet Fraud Victim, AARP Survey of Florida Adults Age 18 and Older. AARP Research, March 2014. http://dx.doi.org/10.26419/res.00076.004.

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