Relevant bibliographies by topics / Health status

Academic literature on the topic 'Health status'

Author: Grafiati
Published: 4 June 2021
Last updated: 1 August 2024

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Journal articles on the topic "Health status"

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Peterson, Steven. "Health status, nutrition, and fragile states." Reality of Politics 15, no. 1 (March 31, 2021): 57–71. http://dx.doi.org/10.15804/rop2021104.

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Keith, Robert Allen. "Functional status and health status." Archives of Physical Medicine and Rehabilitation 75, no. 4 (April 1994): 478–83. http://dx.doi.org/10.1016/0003-9993(94)90175-9.

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Bharati, Susmita, Manoranjan Pal, and Premananda Bharati. "The status of infant health in India." Health 05, no. 08 (2013): 14–22. http://dx.doi.org/10.4236/health.2013.58a4003.

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Dr. R. K. Patel, Dr R. K. Patel. "A Study on Health Status of India." International Journal of Scientific Research 3, no. 5 (January 1, 2012): 56–59. http://dx.doi.org/10.15373/22778179/may2014/19.

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Gupta, Ashish Kumar, and Laishram Ladusingh. "An Assessment of Association between Neighborhood Socioeconomic Status and Infant Mortality in High Focus States in India." Health 08, no. 07 (2016): 630–41. http://dx.doi.org/10.4236/health.2016.87066.

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Park, Ju Moon. "Chronic Diseases, Health Status and Health Service Utilization among Koreans." Health 06, no. 16 (2014): 2286–93. http://dx.doi.org/10.4236/health.2014.616263.

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Gupta, Indrani, and Pradeep Guin. "Health Status and Access to Health Services in Indian Slums." Health 07, no. 02 (2015): 245–55. http://dx.doi.org/10.4236/health.2015.72029.

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Garrett, Brenden E., Joshua H. West, Benjamin T. Crookston, and P. Cougar Hall. "Perceptions of Body Mass Index as a Valid Indicator of Weight Status among Adults in the United States." Health 11, no. 05 (2019): 578–91. http://dx.doi.org/10.4236/health.2019.115049.

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P, Mandal, Devontenno K., Gary J., Grandville N., Hale D., Hayes A., and Mosley M. "Minority Health and Health Disparities in the 21st Century: A Review." Journal of Clinical Research and Reports 9, no. 1 (September 21, 2021): 01–03. http://dx.doi.org/10.31579/2690-1919/194.

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Powerful, complex relationships exist between health and biology, genetics, and individual behavior, and between health and health services, socioeconomic status, the physical environment, discrimination, racism, literacy levels, and legislative policies. These factors, which influence an individual’s or population’s health, are known as determinants of health. Today, health disparity is taking an in depth look at the differences in health status between different social groups, gender, race, ethnicity, education, income, disability, and sexual orientation. While on the other hand, health inequality is looking at the unjust and unfair treatment one gets because of their socioeconomic status and demographic area. Such a wide array of differences in health inequality and disparity is what contributes to the United States ranking in the bottom of industrialized western nations when it comes to life expectancy rate, and infant mortality rate. Even though over the years there have been great improvements and changes, there is still more work to be done to make health and equality for all.
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LLORENS, SHIRLEY A., and DUNCAN NEUHAUSER. "Health Status and Health Policy." Medical Care 32, no. 4 (April 1994): 407–8. http://dx.doi.org/10.1097/00005650-199404000-00011.

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Dissertations / Theses on the topic "Health status"

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Bueno, David. "The relationship between income, health status, and health expenditures in the United States." Thesis, Massachusetts Institute of Technology, 2011. http://hdl.handle.net/1721.1/65780.

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Thesis (M.B.A.)--Massachusetts Institute of Technology, Sloan School of Management, 2011.
Cataloged from PDF version of thesis.
Includes bibliographical references (p. [29]).
The relationship between income and health has important implications for policy makers and businesses, and will continue to receive attention as healthcare reform takes hold in the U.S. Most existing literature looks at the relationship between income and either health status or health expenditures in isolation. However, in this research, we take advantage of the wealth of data available in the U.S. Department of Health and Human Services' Medical Expenditures Panel Survey (MEPS) to answer two important, related questions regarding the income-health relationship for U.S. adults. First, we seek to determine how much sicker are poorer people than richer people (if at all), both in their perception and in actual terms. Second, we seek to determine if a poorer person is likely to consume more or less care than a richer person for given level of health or condition. To answer the first question, we start by examining the relationship between family income and health status using multiple regression techniques. For both perceived health and actual health, we find a curvilinear relationship between income and health, with diminishing returns associated with membership in successively higher-income groups. Depending on the status metric, the associated health benefits of membership in highincome cohorts tend to flatten once income reaches approximately 500-600% of the federal poverty level (FPL). We also find that marginal income at low income levels tends to be more strongly associated with reduced probability of poor health than increased probability of strong health. Regardless of the dependent variable chosen, we find that the shape of the relationship between income and health status is the same once we normalize the coefficients. Perceived and actual health are strongly related, although some of our results indicate that poorer people may be more pessimistic about their health than richer people. We find similar trends when we examine the relationship between income and health expenditures using the MEPS data. In this case, however, the diminishing returns associated with membership in higher-income cohorts are more accelerated, and the associated reductions in spending for membership in successive cohorts above 200-300% FPL are not significantly different from zero. When we add controls for health status, however, we find that the wealthiest members of the population are most likely to have the highest spending on healthcare, although not drastically so. In addition, we find the poorest members of the population do not have a tendency to overconsume care relative to their level of health.
by David Bueno.
M.B.A.
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SACKOR, PHANTA SOKO. "Caregiver Status and Self-Reported Health Status Among African American." ScholarWorks, 2015. http://scholarworks.waldenu.edu/dissertations/1323.

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African American women (AAW) are at a high risk for type 2 diabetes, a debilitating and potentially fatal disease for which there is no cure. The purpose of this study was to extend the research of Mosca et al. (2012) by examining the relationship between caregiver status and self-reported health status for AAW 18 years or older diagnosed with type 2 diabetes. The chronic care model (CCM) provided the theoretical framework for this study. The CCM promoted routine care for patients with chronic illnesses to migrate from acute care to proactive, planned, and risk-based protocols. A binomial logistic regression investigated the relationship between caregiver status, categorized as paid or unpaid, and self-reported health status, which was dichotomized as either good to excellent health or poor to fair health. There was a statistically significant relationship between primary caregiver status and self-reported health status among AAW diagnosed with Type 2 diabetes after controlling for age, education, and marital status (p < .004). Based on the fitted binomial logistic regression model, there were 186 cases of AAW with type 2 diabetes; having a paid caregiver was associated with a lower odds of having good to excellent health (OR = 0.294). About 12.3% of the variance in self-report health status was attributable to caregiver status. Overall, 82.6% of predictions were accurate. Nearly all participants required frequent assistance from a caregiver in the preceding 12 months. These findings suggest a critical need for healthcare service providers to educate caregivers as a means to deliver post-acute care to AAW diagnosed with type 2 diabetes, consistent with the CCM.
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Sackor, Phanta Soko. "Caregiver Status and Self-Reported Health Status Among African American." ScholarWorks, 2015. https://scholarworks.waldenu.edu/dissertations/1300.

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African American women (AAW) are at a high risk for type 2 diabetes, a debilitating and potentially fatal disease for which there is no cure. The purpose of this study was to extend the research of Mosca et al. (2012) by examining the relationship between caregiver status and self-reported health status for AAW 18 years or older diagnosed with type 2 diabetes. The chronic care model (CCM) provided the theoretical framework for this study. The CCM promoted routine care for patients with chronic illnesses to migrate from acute care to proactive, planned, and risk-based protocols. A binomial logistic regression investigated the relationship between caregiver status, categorized as paid or unpaid, and self-reported health status, which was dichotomized as either good to excellent health or poor to fair health. There was a statistically significant relationship between primary caregiver status and self-reported health status among AAW diagnosed with Type 2 diabetes after controlling for age, education, and marital status (p < .004). Based on the fitted binomial logistic regression model, there were 186 cases of AAW with type 2 diabetes; having a paid caregiver was associated with a lower odds of having good to excellent health (OR = 0.294). About 12.3% of the variance in self-report health status was attributable to caregiver status. Overall, 82.6% of predictions were accurate. Nearly all participants required frequent assistance from a caregiver in the preceding 12 months. These findings suggest a critical need for healthcare service providers to educate caregivers as a means to deliver post-acute care to AAW diagnosed with type 2 diabetes, consistent with the CCM.
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Welle, Derek John. "Health care in the United States: How the determinants of health insurance status differ across regions." Master's thesis, University of Cape Town, 2018. http://hdl.handle.net/11427/29229.

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Using a nationally representative sample of individuals across all fifty United States from the 2016 American Community Survey (ACS), this research explores differences in the incidence and predictors of health insurance status across region (i.e. West, Midwest, South, and Northeast) for individuals age 18 and older. The data suggests that: 1) Individuals from the Northeast are the most likely to have some form of health insurance, while individuals from the South are the least likely; 2) The factors which influence health insurance status are relatively similar across all regions, though they often differ substantially in magnitude; 3) In some cases region can play a significant role in determining the type of insurance an individual has (i.e. Public versus Private). Policy makers will find these results useful to target specific factors within regions that may prove to increase the number of insured individuals. Furthermore, researchers may choose to use this paper as a current reference and starting point for further in-depth analysis on targeted factors within specific regions.
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Deacon, Claire Helen. "The health status of construction workers." Thesis, University of Port Elizabeth, 2004. http://hdl.handle.net/10948/326.

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The construction industry is considered to be an extremely dangerous working environment, and therefore the health status of construction workers needs to be considered prior, during and on leaving the industry. Occupational hazards relative to the construction worker are well researched internationally; however few countries undertake routine medical surveillance to identify the health status of the construction worker relative to these hazards. Employers have a higher duty of care to identify workers who could be a risk at work from non-occupationally related conditions such as hypertension and diabetes mellitus. Work could exacerbate these conditions, leading to absenteeism, poor performance and eventually leaving the industry due to ill health. The dissertation explores, inter alia: the risks to which workers are exposed; the legal aspects; relevant literature regarding medical surveillance, and the use of a medical surveillance instrument used to determine the health status of 142 construction workers who consented to participate in the study. The methodological approach used in this study was a quantitative descriptive design, more specifically, using a randomised cross-sectional survey design. The instrument used to determine health status included a full medical, occupational and social history, as well as a physical examination undertaken by Occupational Health Nursing Practitioners (OHNs). Findings indicate that most construction workers believe they are healthy. However only a small percentage of construction workers did not require referral for further investigation and / or treatment.
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Chau, Ka-yee. "Health status of Chinese medicine users." View the Table of Contents & Abstract, 2006. http://sunzi.lib.hku.hk/hkuto/record/B36887110.

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Au, Tat-kuen Gerald. "Expectant fatherhood status, stress and health." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 1989. http://hub.hku.hk/bib/B29653629.

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Chau, Ka-yee, and 周嘉儀. "Health status of Chinese medicine users." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2006. http://hub.hku.hk/bib/B39723938.

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De, Agostini Paola. "Nutrition, health and socio-economic status." Thesis, University of Essex, 2008. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.446003.

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Forbes, Angela Jayne. "Personality, social support and health status." Thesis, University of York, 1999. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.298328.

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Books on the topic "Health status"

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Luck, Michael. Health status. [Birmingham]: South Birmingham Health Authority, 1987.

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James, McEwen, and McKenna Stephen P, eds. Measuring health status. London: Croom Helm, 1986.

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Michigan. Center for Health Promotion., ed. Michigan's health status. Lansing, Mich: The Center, 1987.

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Michigan. Center for Health Promotion., ed. Michigan's health status. Lansing, Mich: The Center, 1987.

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Darryl, Snyder, and Utah. Office of Public Health Data., eds. Utah's healthy people 2000 health status indicators. [Salt Lake City]: Dept. of Health, 1997.

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Christiansen, Terkel. Measurement of Health status. Odense: Dept. of Economics, Odense University, 1990.

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Alaska Public Health Improvement Process. and Alaska. Division of Public Health. Data and Evaluation Unit., eds. Health status in Alaska. 2nd ed. Juneau, AK: Data & Evaluation Unit, 2001.

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Healthy Mothers, Healthy Babies Coalition (U.S.). Montana Coalition. Montana adolescent health status. Helena: Montana Coalition, Healthy Mothers, Healthy Babies, 1990.

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Muskoka-Parry Sound Health Unit (Ont.), ed. Community health status report. Bracebridge, Ont: Muskoka-Parry Sound Health Unit, 1995.

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California Conference of Local Health Officers, ed. County health status profiles. Sacramento, Calif: California Department of Health Services and the California Conference of Local Health Officers, 1993.

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Book chapters on the topic "Health status"

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Spears, William. "Health Status." In Encyclopedia of Immigrant Health, 806–10. New York, NY: Springer New York, 2012. http://dx.doi.org/10.1007/978-1-4419-5659-0_353.

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Benson, Tim. "Health Status." In Patient-Reported Outcomes and Experience, 125–40. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-97071-0_11.

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Reaney, Matthew. "Health Status Measurement." In Encyclopedia of Quality of Life and Well-Being Research, 2749–52. Dordrecht: Springer Netherlands, 2014. http://dx.doi.org/10.1007/978-94-007-0753-5_1256.

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Morgenstern, Wolfgang, Victor K. Ivanov, Anatoli I. Michalski, Anatoli F. Tsyb, and Gotthard Schettler. "Health Status Indicators." In Mathematical Modelling with Chernobyl Registry Data, 45–64. Berlin, Heidelberg: Springer Berlin Heidelberg, 1995. http://dx.doi.org/10.1007/978-3-642-80010-8_3.

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Nolan, Claire M., William D.-C. Man, and Richard L. ZuWallack. "Monitoring health status." In Pulmonary Rehabilitation, 163–69. Second edition. | Boca Raton : CRC Press, [2020] | Preceded by Pulmonary rehabilitation / Claudio F. Donner, Nicolino Ambrosino, Roger Goldstein. 2005.: CRC Press, 2020. http://dx.doi.org/10.1201/9781351015592-16.

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Aspinall, Peter J., and Martha J. Chinouya. "Generic Health Status." In The African Diaspora Population in Britain, 163–71. London: Palgrave Macmillan UK, 2016. http://dx.doi.org/10.1057/978-1-137-45654-0_7.

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Reaney, Matthew. "Health Status Measurement." In Encyclopedia of Quality of Life and Well-Being Research, 3002–5. Cham: Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-031-17299-1_1256.

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Bray, Robert M., Laurel L. Hourani, Jason Williams, Marian E. Lane, and Mary Ellen Marsden. "Health Behaviors and Health Status." In Understanding Military Workforce Productivity, 81–108. New York, NY: Springer New York, 2013. http://dx.doi.org/10.1007/978-0-387-78303-1_4.

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Li, Yuying, and John R. Weeks. "Marital Status." In Encyclopedia of Women’s Health, 763–65. Boston, MA: Springer US, 2004. http://dx.doi.org/10.1007/978-0-306-48113-0_255.

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Colabianchi, Natalie. "Socioeconomic Status." In Encyclopedia of Women’s Health, 1234–36. Boston, MA: Springer US, 2004. http://dx.doi.org/10.1007/978-0-306-48113-0_412.

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Conference papers on the topic "Health status"

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Jindrová, Pavla. "Impact of Health Expenditures and Health Resources on Health Status in the European Union Member States." In International Days of Statistics and Economics 2019. Libuše Macáková, MELANDRIUM, 2019. http://dx.doi.org/10.18267/pr.2019.los.186.60.

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Chistova, Elena, and Alexander Tyrsin. "Health Status of Working Pensioners." In Proceedings of the Ecological-Socio-Economic Systems: Models of Competition and Cooperation (ESES 2019). Paris, France: Atlantis Press, 2020. http://dx.doi.org/10.2991/assehr.k.200113.015.

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Kamburova, Mariela S., and Stela L. Georgieva. "Health status of Roma population." In The 5th Electronic International Interdisciplinary Conference. Publishing Society, 2016. http://dx.doi.org/10.18638/eiic.2016.5.1.499.

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Oniga, Stefan, Alin Tisan, and Robert Bolyi. "Activity and health status monitoring system." In 2017 IEEE 26th International Symposium on Industrial Electronics (ISIE). IEEE, 2017. http://dx.doi.org/10.1109/isie.2017.8001566.

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Orha, I., and S. Oniga. "Automated system for evaluating health status." In 2013 IEEE 19th International Symposium for Design and Technology in Electronic Packaging (SIITME). IEEE, 2013. http://dx.doi.org/10.1109/siitme.2013.6743677.

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Taljaard, Corrie. "Operational modes, health, and status monitoring." In SPIE Astronomical Telescopes + Instrumentation, edited by George Z. Angeli and Philippe Dierickx. SPIE, 2016. http://dx.doi.org/10.1117/12.2234122.

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Cincar, Kristijan, and Todor Ivascu. "Rule-based Health Status Evaluation System." In 2021 International Conference on e-Health and Bioengineering (EHB). IEEE, 2021. http://dx.doi.org/10.1109/ehb52898.2021.9657694.

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Sk, Tajuddin, Leela Madhuri G, Lalitha Ram K, and Ranga Rao J. "Health Status Prediction using ML Techniques." In 2022 6th International Conference on Computing Methodologies and Communication (ICCMC). IEEE, 2022. http://dx.doi.org/10.1109/iccmc53470.2022.9753766.

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Lee, JaeHo. "Smart health: Concepts and status of ubiquitous health with smartphone." In 2011 International Conference on ICT Convergence (ICTC). IEEE, 2011. http://dx.doi.org/10.1109/ictc.2011.6082623.

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Yunieswati, Wilda, Sri Anna Marliyati, and Ronald H. I. Sitindjak. "RELATIONSHIP BETWEEN NUTRITIONAL STATUS, HEALTH STATUS, FOOD CONSUMPTION, AND LIFESTYLE TO WORK PRODUCTIVITY OF COCOA FARMER." In International Conference on Public Health. The International Institute of Knowledge Management (TIIKM), 2018. http://dx.doi.org/10.17501/24246735.2018.4104.

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Reports on the topic "Health status"

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Morefield, G. Brant, David Ribar, and Christopher Ruhm. Occupational Status and Health Transitions. Cambridge, MA: National Bureau of Economic Research, February 2011. http://dx.doi.org/10.3386/w16794.

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Rosen, Harvey, and Stephen Wu. Portfolio Choice and Health Status. Cambridge, MA: National Bureau of Economic Research, January 2003. http://dx.doi.org/10.3386/w9453.

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O'Neill, June, and Dave O'Neill. Health Status, Health Care and Inequality: Canada vs. the U.S. Cambridge, MA: National Bureau of Economic Research, September 2007. http://dx.doi.org/10.3386/w13429.

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Corman, Hope, Anne Carroll, Kelly Noonan, and Nancy Reichman. The Effects of Health on Health Insurance Status in Fragile Families. Cambridge, MA: National Bureau of Economic Research, May 2006. http://dx.doi.org/10.3386/w12197.

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Proctor, Susan P. Health Status of Current National Guard Members. Fort Belvoir, VA: Defense Technical Information Center, February 2002. http://dx.doi.org/10.21236/ada401655.

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Proctor, Susan P. Health Status of Current National Guard Members. Fort Belvoir, VA: Defense Technical Information Center, February 2003. http://dx.doi.org/10.21236/ada417019.

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Meara, Ellen. Why is Health Related to Socioeconomic Status? Cambridge, MA: National Bureau of Economic Research, April 2001. http://dx.doi.org/10.3386/w8231.

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Proctor, Susan P. Health Status of Current National Guard Members. Fort Belvoir, VA: Defense Technical Information Center, February 2001. http://dx.doi.org/10.21236/ada393218.

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Cutler, David, Adriana Lleras-Muney, and Tom Vogl. Socioeconomic Status and Health: Dimensions and Mechanisms. Cambridge, MA: National Bureau of Economic Research, September 2008. http://dx.doi.org/10.3386/w14333.

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DeJong, Marla J., Debra K. Moser, and Misook L. Chung. Anxiety, Depression, and Functional Status Are the Best Predictors of Health Status Patients With Heart Failure. Fort Belvoir, VA: Defense Technical Information Center, October 2004. http://dx.doi.org/10.21236/ada426765.

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