Dataset Information

Where You Age Matters: Individual- and County-Level Predictors of Formal and Informal Care in Rural Appalachia.

ABSTRACT: OBJECTIVE:Despite overall improvements in the U.S. health care, older adults living in rural counties, such as Appalachian Virginia, continue to be underserved. METHOD:Multinomial regression models, including both individual and county data from 503 older adults aged 65+, were used to examine factors associated with informal and formal care use. RESULTS:Older adults with stronger filial beliefs and less positive attitudes toward community services preferred informal help. If the county had more formal care services, however, older adults were more likely to use them, regardless of their filial beliefs. Disparities based on gender were observed, in that women who lived in counties with a higher percentage of older adults below the poverty line were more likely to receive no help than men. DISCUSSION:Developing effective service promotion tactics, destigmatizing community services, and targeting services and support, especially to women, could decrease health disparities in rural Appalachia and similar geographic areas.

SUBMITTER: Savla J

PROVIDER: S-EPMC7416774 | biostudies-literature | 2019 Jun

REPOSITORIES: biostudies-literature

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Publications

Where You Age Matters: Individual- and County-Level Predictors of Formal and Informal Care in Rural Appalachia.

Savla Jyoti J Bivens L Rebecca LR Roberto Karen A KA Blieszner Rosemary R

Journal of aging and health 20180320 5

<h4>Objective</h4>Despite overall improvements in the U.S. health care, older adults living in rural counties, such as Appalachian Virginia, continue to be underserved.<h4>Method</h4>Multinomial regression models, including both individual and county data from 503 older adults aged 65+, were used to examine factors associated with informal and formal care use.<h4>Results</h4>Older adults with stronger filial beliefs and less positive attitudes toward community services preferred informal help. I ...[more]

PMID: 29557718

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Project description:BackgroundStress and burnout among healthcare workers has been recognized as a global crisis needing urgent attention. Yet few studies have examined stress and burnout among healthcare providers in sub-Saharan Africa, and even fewer among maternity providers who work under very stressful conditions. To address these gaps, we examined self-reported stress and burnout levels as well as stress-related physiologic measures of these providers, along with their potential predictors.MethodsParticipants included 101 maternity providers (62 nurses/midwives, 16 clinical officers/doctors, and 23 support staff) in western Kenya. Respondents completed Cohen's Perceived Stress Scale, the Shirom-Melamed Burnout scale, and other sociodemographic, health, and work-related items. We also collected data on heart rate variability (HRV) and hair cortisol levels to assess stress-related physiologic responses to acute and chronic stress respectively. Multilevel linear regression models were computed to examine individual and work-related factors associated with stress, burnout, HRV, and cortisol level.Results85% of providers reported moderate stress and 11.5% high stress. 65% experienced low burnout and 19.6% high burnout. Average HRV (measured as the root mean square of differences in intervals between successive heart beats: RMSSD) was 60.5 (SD = 33.0) and mean cortisol was mean cortisol was 44.2 pg/mg (SD = 60.88). Greater satisfaction with life accomplishments was associated with reduced stress (β = - 2.83; CI = -5.47; - 0.18), while motivation to work excessively (over commitment) was associated with both increased stress (β = 0.61 CI: 0.19, 1.03) and burnout (β = 2.05, CI = 0.91, 3.19). Female providers had higher burnout scores compared to male providers. Support staff had higher HRV than other providers and providers under 30 years of age had higher HRV than those 30 and above. Although no association between cortisol and any predictor was statistically significant, the direction of associations was consistent with those found for stress and burnout.ConclusionsMost providers experienced moderate to high levels of stress and burnout. Individuals who were more driven to work excessively were particularly at risk for higher stress and burnout. Higher HRV of support staff and providers under age 30 suggest their more adaptive autonomic nervous system response to stress. Given its impact on provider wellbeing and quality of care, interventions to help providers manage stress are critical.

Project description:ObjectivesWe aimed to examine the associations of both individual-level and county-level social capital with individual health in China during a period of rapid economic growth.Design and settingA serial cross-sectional study in China.Participants and methodsThe participants were 42 829 Chinese adults (aged ≥18 years) from the 2010, 2012, 2013 and 2015 Chinese General Social Survey. The outcomes were self-rated physical and mental health in all time points. We assessed social capital by the individual-level and county-level indicators, including frequency of socialising, civic participation and trust. We conducted multilevel binary logistic regression models to examine the associations of individual-level and county-level social capital with self-rated physical and mental health.ResultsAt the individual level, high frequency of socialising (2010-OR: 1.49, 95% CI: 1.33 to 1.66; 2012-OR: 1.39, 95% CI: 1.26 to 1.54; 2013-OR: 1.28, 95% CI: 1.15 to 1.42; 2015-OR: 1.36, 95% CI: 1.23 to 1.50) and high trust (2010-OR: 1.34, 95% CI: 1.22 to 1.47; 2012-OR: 1.30, 95% CI: 1.18 to 1.42; 2013-OR: 1.21, 95% CI: 1.10 to 1.33; 2015-OR: 1.41, 95% CI: 1.28 to 1.55) was significantly associated with good physical health in all years. At the individual level, high frequency of socialising (2010-OR: 1.27, 95% CI: 1.14 to 1.42; 2012-OR: 1.21, 95% CI: 1.09 to 1.34; 2013-OR: 1.30, 95% CI: 1.17 to 1.45; 2015-OR: 1.35, 95% CI: 1.22 to 1.50) and high trust (2010-OR: 1.47, 95% CI: 1.34 to 1.61; 2012-OR: 1.42, 95% CI: 1.30 to 1.56; 2013-OR: 1.36, 95% CI: 1.24 to 1.49; 2015-OR: 1.43, 95% CI: 1.30 to 1.57) was also significantly associated with good mental health in all years. No evidence showed that the associations of individual-level frequency of socialising and trust with physical and mental health changed over time. There were no consistent associations of individual-level civic participation or any county-level social capital indicators with physical or mental health.ConclusionThe positive associations of individual-level social capital in terms of socialising and trust with physical and mental health were robust during a period of rapid economic growth. Improving individual-level socialising and trust for health promotion could be a long-term strategy even within a rapidly developing society.

Dataset Information

Where You Age Matters: Individual- and County-Level Predictors of Formal and Informal Care in Rural Appalachia.

Publications

Where You Age Matters: Individual- and County-Level Predictors of Formal and Informal Care in Rural Appalachia.

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