Gender Differences in the Relationship between Housing, Socioeconomic Status, and Self-Reported Health Status

2004 ◽  
Vol 19 (3-4) ◽  
pp. 177-196 ◽  
Author(s):  
James R. Dunn ◽  
Jennifer D. Walker ◽  
Jennifer Graham ◽  
Christina B. Weiss
Keyword(s):  
Gender Differences ◽  
Socioeconomic Status ◽  
Health Status ◽  
Poor Health ◽  
Future Research ◽  
Self Rated Health ◽  
Reported Health ◽  
Self Reported Health Status ◽  
Household Crowding ◽  
Fair Poor

Abstract This study investigates gender differences in housing, socioeconomic status, and self-reported health status. The analysis focuses on the social and economic dimensions of housing, such as demand, control, material aspects (affordability, type of dwelling) and meaningful aspects (pride in dwelling, home as a refuge) of everyday life in the domestic environment. A random sample, crosssectional telephone survey was administered in the city of Vancouver, Canada in June 1999 (n = 650). Survey items included measures of material and meaningful dimensions of housing, housing satisfaction, and standard measures of socioeconomic status and social support. The main outcome measure was self-reported health (excellent/very good/good vs. fair/poor). A three-stage analysis provides an overall picture of the sample characteristics for male and female respondents, detects significant relations between individual and housing characteristics and self-rated health status, and investigates male-female differences in the factors associated with fair/poor self-rated health. In multivariate analyses, a small number of socioeconomic dimensions of housing were associated with self-rated health status for women. For men, only one attribute of housing was associated with self-rated health: crowding was positively related to poor health, contradicting expectations and the findings for women. The self-reported strain of housework was unrelated to self-rated health for men, bot strongly related to poor health for women. For men and women, satisfaction with social activities increased the likelihood of reporting better health. Future research should focus on the health effects of geodered differences in domestic and paid work, and on home and family roles and the interaction among gender, household crowding, and health.

Self-Reported Health Status and Medical Debt

2018 ◽  
Vol 29 (1) ◽  
pp. 36-44
Author(s):  
Patrick Richard ◽  
Nilam Patel ◽  
Yuan-Chiao Lu ◽  
Pierre Alexandre
Keyword(s):  
Health Status ◽  
Financial Burden ◽  
Panel Study ◽  
Poor Health ◽  
Poor Health Status ◽  
Medical Debt ◽  
Reported Health ◽  
Using Data ◽  
Self Reported Health Status ◽  
Fair Poor

This paper examines the relationship between self-reported health status and medical debt outcomes using data from the 2013 Panel Study of Income Dynamics. There were two outcomes of interest: (a) the likelihood of having any medical debt, which included 4,227 households and (b) the amount of medical debt (medical debt > 0), which included 631 households. The results from the multivariate models showed that fair/poor health status increased the likelihood of having any medical debt by 73% and was associated with an increase in the amount of medical debt among those with medical debt by about 77% (p < .001) compared to those who reported better health. Poor health status appears to impose a financial burden on some households.

scholarly journals Physical and Psychological Factors Associated with Poor Self-Reported Health Status in Older Adults with Falls

2020 ◽  
Vol 17 (10) ◽  
pp. 3548 ◽  
Author(s):  
Jiyeon Kim ◽  
Mikyong Byun ◽  
Moonho Kim
Keyword(s):  
Older Adults ◽  
Health Status ◽  
Psychological Factors ◽  
Hearing Impairments ◽  
Factors Associated ◽  
Self Rated Health ◽  
Physical Tests ◽  
Reported Health ◽  
Self Reported Health Status ◽  
Poor Nutrition

Background: Previous studies have proposed various physical tests for screening fall risk in older adults. However, older adults may have physical or cognitive impairments that make testing difficult. This study describes the differences in individual, physical, and psychological factors between adults in good and poor self-rated health statuses. Further, we identified the physical or psychological factors associated with self-rated health by controlling for individual variables. Methods: Data from a total of 1577 adults aged 65 years or over with a history of falls were analyzed, using the 2017 National Survey of Older Persons in South Korea. Self-reported health status was dichotomized as good versus poor using the 5-point Likert question: “poor” (very poor and poor) and “good” (fair, good, and very good). Results: Visual/hearing impairments, ADL/IADL restriction, poor nutrition, and depression were more frequently observed in the group with poor self-rated health. Multivariable logistic regression revealed that poor self-reported health was significantly associated with hearing impairments (OR: 1.51, 95% CI 1.12–2.03), ADL limitation (OR: 1.77, 95% CI 1.11–2.81), IADL limitation (OR: 2.27, 95% CI 1.68–3.06), poor nutrition (OR: 1.36, 95% CI 1.05–1.77), and depression (OR 3.77, 95% CI 2.81–5.06). Conclusions: Auditory impairment, ADL/IADL limitations, poor nutrition, and depression were significantly associated with poor self-reported health. A self-rated health assessment could be an alternative tool for older adults who are not able to perform physical tests.

Gender Differences in Days Lost from Work Due to Illness

ILR Review ◽  
1997 ◽  
Vol 50 (2) ◽  
pp. 304-323 ◽  
Author(s):  
Jessica Primoff Vistnes
Keyword(s):  
Gender Differences ◽  
Health Status ◽  
Young Children ◽  
Medical Expenditure ◽  
Economic Factors ◽  
Women Health ◽  
National Medical ◽  
Reported Health ◽  
Self Reported Health Status ◽  
Health Status Measures

The author uses data from the 1987 National Medical Expenditure Survey to investigate the extent and determinants of gender differences in days lost from work due to illness. She finds that for both men and women, health status measures, such as self-reported health status and medical events, more consistently explained absenteeism than did economic factors such as wages and the presence of sick leave. The presence of young children increased women's, but not men's, probability of missing work, as well as women's number of absences for those who missed work in 1987. Among men who were absent from work in 1987, however, the presence of children in day care increased the number of days lost from work. In that regard, those men, most of whom were likely to be either single parents or married with a working wife, behaved more like mothers with young children than like other men.

scholarly journals Health Outcome Priorities of Older Adults with Advanced CKD and Concordance with Their Nephrology Providers’ Perceptions

2018 ◽  
Vol 29 (12) ◽  
pp. 2870-2878 ◽  
Author(s):  
Sarah J. Ramer ◽  
Natalie N. McCall ◽  
Cassianne Robinson-Cohen ◽  
Edward D. Siew ◽  
Huzaifah Salat ◽  
...  
Keyword(s):  
Older Adults ◽  
Health Outcome ◽  
Health Status ◽  
End Of Life ◽  
Advanced Stage ◽  
Self Rated Health ◽  
Individual Health ◽  
Stage 4 ◽  
Reported Health ◽  
Self Reported Health Status

BackgroundOlder adults with advanced CKD have significant pain, other symptoms, and disability. To help ensure that care is consistent with patients’ values, nephrology providers should understand their patients’ priorities when they make clinical recommendations.MethodsPatients aged ≥60 years with advanced (stage 4 or 5) non–dialysis-dependent CKD receiving care at a CKD clinic completed a validated health outcome prioritization tool to ascertain their health outcome priorities. For each patient, the nephrology provider completed the same health outcome prioritization tool. Patients also answered questions to self-rate their health and completed an end-of-life scenarios instrument. We examined the associations between priorities and self-reported health status and between priorities and acceptance of common end-of-life scenarios, and also measured concordance between patients’ priorities and providers’ perceptions of priorities.ResultsAmong 271 patients (median age 71 years), the top health outcome priority was maintaining independence (49%), followed by staying alive (35%), reducing pain (9%), and reducing other symptoms (6%). Nearly half of patients ranked staying alive as their third or fourth priority. There was no relationship between patients’ self-rated health status and top priority, but acceptance of some end-of-life scenarios differed significantly between groups with different top priorities. Providers’ perceptions about patients’ top health outcome priorities were correct only 35% of the time. Patient-provider concordance for any individual health outcome ranking was similarly poor.ConclusionsNearly half of older adults with advanced CKD ranked maintaining independence as their top heath outcome priority. Almost as many ranked being alive as their last or second-to-last priority. Nephrology providers demonstrated limited knowledge of their patients’ priorities.

scholarly journals Association Between Health-Related Physical Fitness and Self-Reported Health Status in Older Taiwanese Adults

2021 ◽  
Author(s):  
Yan-Jhu Su ◽  
Chen-Te Hsu ◽  
Chyi Liang ◽  
Po-Fu Lee ◽  
Chi-Fang Lin ◽  
...  
Keyword(s):  
Health Status ◽  
Physical Fitness ◽  
Perceived Health ◽  
Future Research ◽  
Perceived Health Status ◽  
Chi Square ◽  
Health Related ◽  
Chi Square Test ◽  
Reported Health ◽  
Self Reported Health Status

Abstract Background This study aims to determine if an association exists between health-related physical fitness measurements and self-reported health status in older Taiwanese adults. Methods A total of 22,389 Taiwanese adults aged 65 years or older were recruited as study participants. Demographic characteristics, life habits, anthropometric assessments, health-related physical fitness measurements, and self-reported health status from this dataset were analyzed using the chi-square test, one-way analysis of variance, and logistic regression analysis. Results The results showed that there was significant association between back scratch and self-perceived health status (excellent/good) (odds ratio [OR], 1.003; 95 % CI 1.000-1.006) after adjusting potential confounders. However, adjusted potential confounders OR for self-perceived health status (poor/very poor) decreased and significant for chair sit-and-reach test (OR 0.994, 95% CI 0.988–0.999). Conclusions The results of this study indicate that there are associations between health-related physical fitness measurements and self-reported health status in Taiwanese older adults. Future research may investigate the causality between health status and physical fitness.

Opioid and Other Medication Use and General Health Status in a Cohort of Older Adults

Gerontology ◽  
2021 ◽  
pp. 1-9
Author(s):  
Paul F. Pinsky ◽  
Danielle Durham ◽  
Scott Strassels
Keyword(s):  
Quality Of Life ◽  
Health Status ◽  
Chronic Conditions ◽  
Medication Use ◽  
Opioid Use ◽  
Reported Health ◽  
Chronic Opioid Use ◽  
Self Reported Health Status ◽  
Fair Poor

Objective: The aim of this study was to determine whether the use of opioids and other medications in a cohort of older adults was associated with self-reported health status. Methods: Among participants in the Prostate, Lung, Colorectal, and Ovarian (PLCO) Screening Trial linked to Medicare Part D claims data and answering a quality-of-life questionnaire, we examined the relationship between medication use over a 5-year period and various self-reported health status variables assessed several years later, including overall health status (STATUS) and trouble with activities of daily living (TADL). Multivariable logistic regression was used to estimate odds ratios (ORs) for the health status variables and metrics of medication use, including >60-day use, and for opiates, chronic use, with models controlling for demographics (model I), additionally for chronic conditions (model II), and additionally for other medication use (model III). Results: The study cohort included 22,844 PLCO participants (56% women, 90% non-Hispanic whites); 4.2% had chronic opioid use and 12.5% used for >60 days. Fair-poor STATUS was reported in 37.9% of participants with chronic opioid use versus 15.0% of participants without (p < 0.001). ORs for chronic opioid use for fair-poor STATUS (compared to good-excellent) were significantly elevated in all models but decreased from model I (OR = 3.6; 95% CI :3.1–4.1) to model II (OR = 2.7; 95% CI :2.3–3.1) to model III (OR = 2.1; 95% CI :1.8–2.5). ORs for TADL were generally similar to those for STATUS. Other drug classes also had significantly elevated model III ORs for fair-poor versus good-excellent STATUS (range 1.1–1.6). Conclusion: Frequent use of various medication classes correlated with measures of future health status in an elderly population, with opioids having the strongest association. The magnitude of the association decreased after controlling for concurrent chronic conditions but remained elevated. Future research should consider how the use of opioids and other medications impact measures of health-related quality of life.

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