Culturally-specific productive engagement and self-rated health among Taiwanese older adults

2019 ◽  
Vol 229 ◽  
pp. 79-86 ◽  
Author(s):  
Wei-Pang Wang ◽  
Li-Hsueh Wu ◽  
Wei Zhang ◽  
Ruey-Ming Tsay
Keyword(s):  
Older Adults ◽  
Culturally Specific ◽  
Self Rated Health ◽  
Productive Engagement

scholarly journals The effects of social comparisons on subjective age and self-rated health

2021 ◽  
pp. 1-14
Author(s):  
Maayan Sayag ◽  
Gitit Kavé
Keyword(s):  
Older Adults ◽  
Comparison Group ◽  
Peer Group ◽  
Social Comparisons ◽  
Subjective Health ◽  
Subjective Age ◽  
Negative Effects ◽  
Younger Adults ◽  
Self Rated Health ◽  
Selection Of

Abstract Older adults consistently report young subjective age and provide high ratings of their subjective health. The current research examined which social comparisons older adults make when they assess their subjective age and health, as well as the effects of experimentally manipulated social comparisons on these assessments. In Study 1, 146 participants (aged 60 and over) reported to whom they compared themselves when assessing their subjective age or health. In Study 2, 100 participants (aged 60 and over) reported their subjective age and health after receiving feedback that compared them to younger adults or to their peers. Study 1 shows that participants compared themselves primarily to their peer group. Yet, individuals who selected a younger comparison group when assessing subjective age reported a younger subjective age, better self-rated health and more positive expectations regarding ageing relative to those who selected their peers as a comparison group. No equivalent differences emerged in any of the measures when participants were divided by their selection of comparison group after providing their self-rated health ratings. In Study 2, feedback that emphasised the performance of younger people led to reports of younger subjective age relative to feedback that emphasised peer performance, with no equivalent difference for self-rated health. These findings help explain why older adults feel younger and healthier than they actually are. We suggest that older adults use social comparisons as a strategy that protects them from the negative effects of ageing on self-perception.

scholarly journals Profile Groups Based on Lifestyle and Differences in Mental Health and Cognition

2020 ◽  
Vol 4 (Supplement_1) ◽  
pp. 404-404
Author(s):  
Joseph Kim ◽  
Kyuree Kim
Keyword(s):  
Mental Health ◽  
Older Adults ◽  
Depressive Symptoms ◽  
Latent Class ◽  
Mail Survey ◽  
Later Life ◽  
Self Rated Health ◽  
Final Sample ◽  
Group 2 ◽  
Mean Differences

Abstract The purpose of this study was to identify the profiles of older adults according to lifestyle. Data for the study were from the 2017 Consumption and Activities Mail Survey (CAMS). CAMS 2017 is a questionnaire mailed to a sub-sample of respondents from the Health and Retirement Study. Participants were limited to older adults 65 and older, and the final sample consisted of 1136 older adults. The sample included 443 men and 693 women. Caucasians comprised 82.0% of the participants. Lifestyle was measured through items assessing the amount of time spent on activities. Due to high skewness, the items were dichotomized, 0=no time spent on activity and 1=time spent on the activity. Latent class analysis (LCA) was performed to identify groups based on lifestyle. LCA is a person-centered approach for identifying unobserved subgroups based on similarity in responses to items. Three lifestyle groups were identified. Group 1 was “Outgoing” with 471 individuals. Group 2 was “Adequate” with 229 individuals. Group 3 was “Inactive” with 436 individuals. An ANOVA was then conducted to assess mean differences in self-rated health, cognition, depressive symptoms, and loneliness for the three lifestyle groups. The “Outgoing” and “Adequate” groups had significantly higher scores on self-rated health and cognition, and in addition, significantly lower scores on depressive symptoms and loneliness compared to the “Inactive” group. No significant differences were observed between the “Outgoing” and “Adequate” groups. An implication from this study is the importance of maintaining an active lifestyle in later life for better mental health and cognition.

scholarly journals Patterns of Sedentary Behavior in a Community-Based Cohort of Older Adults

2020 ◽  
Vol 4 (Supplement_1) ◽  
pp. 790-790
Author(s):  
Dori Rosenberg ◽  
Rod Walker ◽  
Mikael Anne Greenwood-Hickman ◽  
KatieRose Richmire ◽  
John Bellettiere ◽  
...  
Keyword(s):  
Older Adults ◽  
Epidemiologic Study ◽  
Epidemiologic Studies ◽  
Community Based ◽  
Covariate Data ◽  
Self Rated Health ◽  
Measurement Protocol ◽  
Sleep Logs ◽  
Hispanic White ◽  
Difficulty Walking

Abstract Few epidemiologic studies have examined device-measured sitting patterns by demographics and health status. The Adult Changes in Thought (ACT) study is an on-going epidemiologic study of adults age ≥65 years. We conducted a sub-study that added a thigh-worn activPAL device and sleep logs for 7 days to the measurement protocol. A total of 997 had valid wear time (≥4 days with 10-20 hours of data per day) and covariate data. activPAL sedentary pattern measures included number of sitting bouts lasting 30 minutes or more and mean sitting bout duration. On average, participants (56% female, 57% > age 75, 89% non-Hispanic white) sat in bouts lasting 17 minutes (SD = 12) and had 5.9 (SD = 1.7) bouts of sitting lasting 30 minutes or more. Participants who were older, were male, had obesity, had worse self-rated health, had depression, and had difficulty walking had longer sitting bouts and more prolonged bouts.

Educational Differences in Self-Rated Health Trends Among Middle-Aged and Older Adults Living Alone, 1972–2018

2022 ◽  
pp. 089826432110527
Author(s):  
Esther O. Lamidi
Keyword(s):  
Older Adults ◽  
Living Arrangements ◽  
Living Arrangement ◽  
Living Alone ◽  
Middle Aged ◽  
Older Americans ◽  
Health Trends ◽  
Self Rated Health ◽  
Educational Differences ◽  
Middle Aged Adults

Objectives: This study examines educational differences in living alone and in self-rated health trends among middle-aged and older adults. Methods: We used logistic regression to analyze data from the 1972–2018 National Health Interview Survey ( n = 795,239 aged 40–64; n = 357,974 aged 65–84). Results: Between 1972–1974 and 2015–2018, living alone became more prevalent, particularly among men and at lower levels of education. Self-rated health trends varied by living arrangement and education. We found self-rated health declines among middle-aged adults having no college degree and living alone, but trends in self-rated health were mostly stable or even improved among middle-aged adults living with others. Among older adults, self-rated health improved over time, but for the least-educated older Americans living alone, the probability of reporting fair or poor health increased between 1972–1974 and 2015–2018. Discussion: The findings suggest growing disparities by social class, in living arrangements and in self-rated health.

Nonlinear Associations between Medical Expenditure, Perceived Medical Attitude, and Sociodemographics, and Older Adults’ Self-Rated Health in China: Applying the Extreme Gradient Boosting Model

Healthcare ◽  
2021 ◽  
Vol 10 (1) ◽  
pp. 39
Author(s):  
Yuqing Liang ◽  
Wanwan Zheng ◽  
Woon-Seek Lee
Keyword(s):  
Older Adults ◽  
Health Expenditure ◽  
Health Benefits ◽  
Medical Expenditure ◽  
Gradient Boosting ◽  
Threshold Effects ◽  
Self Rated Health ◽  
Extreme Gradient Boosting ◽  
Nonlinear Associations ◽  
Partial Dependence

Background: although China’s total health expenditure has been dramatically increased so that the country can cope with its aging population, inequalities among individuals in terms of their medical expenditures (relative to their income level) have exacerbated health problems among older adults. This study aims to examine the nonlinear associations between each of medical expenditure, perceived medical attitude, and sociodemographics, and older adults’ self-rated health (SRH); it does so by using data from the 2018 China Family Panel Studies survey. Method: we used the extreme gradient boosting model to explore the nonlinear association between various factors and older adults’ SRH outcomes. We then conducted partial dependence plots to examine the threshold effects of each factor on older adults’ SRH. Results: older adults’ medical expenditure exceeded their overall income. Body mass index (BMI) and personal health expenditure play an essential role in predicting older adults’ SRH outcomes. We found older adult age, physical exercise status, and residential location to be robust predictors of SRH outcomes in older adults. Partial dependence plots of the results visualized the nonlinear association between variables and the threshold effects of factors on older adults’ SRH outcomes. Conclusions: findings from this study underscore the importance of medical expenditure, perceived medical attitudes, and BMI as important predictors of health benefits in older adults. The potential threshold effects of medical expenditure on older adults’ SRH outcomes provide a better understanding of the formation of appropriate medical policy interventions by balancing the government and personal medical expenditure to promote health benefits among older adults.

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