scholarly journals Own health, spousal health and transitions in loneliness among middle-aged and older adults in China

2021 ◽  
pp. 1-27
Author(s):  
Ye Luo
Keyword(s):  
Older Adults ◽  
Emotional Health ◽  
Functional Limitation ◽  
Married Women ◽  
Baseline Survey ◽  
Middle Aged ◽  
Social Interventions ◽  
Married Men ◽  
Spousal Health ◽  
Using Data

Abstract This study examines the effects of own and spousal health on transitions in loneliness over time among married middle-aged and older adults in China, and explores the possible gender differences in these effects using data from the three waves of the China Health and Retirement Longitudinal Study (2011–2015). The sample includes 6,422 men and 6,391 women who were married and aged 45 and older at the baseline survey. Middle-aged and older adults with poorer physical and emotional health statuses are more likely to transition into and less likely to transition out of loneliness in a two-year period. Spouse's emotional health also affects both types of transition in loneliness and spouse's functional limitation affects transition into loneliness through spouse's emotional health. In addition, for married men, their own functional limitation is significantly associated with their transitions into and out of loneliness. For married women, their spouse's functional limitation is significantly associated with their transition into loneliness and this is mainly through its association with spouse's emotional health. Also, for married women, their spouse's emotional health is significantly associated with their transition out of loneliness. Social interventions to reduce feelings of loneliness need to take a couple approach and consider both spouses’ health problems and how they may affect their daily activities and their interactions with each other and with others.

scholarly journals 0854 Exploration Of Sleep Health Among Middle-aged And Older Adults

SLEEP ◽  
2020 ◽  
Vol 43 (Supplement_1) ◽  
pp. A325-A325
Author(s):  
R A Lorenz ◽  
S L Auerbach ◽  
C Li ◽  
Y Chang
Keyword(s):  
Older Adults ◽  
Research Question ◽  
Secondary Data ◽  
Factor Loading ◽  
Dimensional Structure ◽  
Future Research ◽  
Composite Measure ◽  
Middle Aged ◽  
Sleep Health ◽  
Using Data

Abstract Introduction Sleep health, a construct introduced to characterize the multidimensional attributes of sleep, has been explored in a variety of populations; however has not been adequately examined for middle-aged and older adults. As attributes of sleep may change with age, the dimensional structure of sleep health may differ in this population. This study aimed to validate a composite measure of sleep health among middle-aged and older adults using data from the Health and Retirement Survey (HRS). Methods Data from the 2014 Core survey of the HRS was used to create a composite measure of Sleep Health including sleep efficiency, duration, timing, satisfaction, and alertness. We standardized and averaged the original variables before transforming to T scores. Sleep Health T scores (ranging 0-100, higher scores indicating better sleep health) were examined using exploratory and confirmatory factor analysis (EFA; CFA). Results Our sample included 6,095 adults with mean age of 68 years (SD=10.1; range 50-99 years). The majority were female (59.7%), white (77%), with high school education (53.9%). Sleep Health T scores ranged from 27-61 (mean=50; SD=6.7). EFA identified one factor. Timing was removed due to low factor loading (<0.4). The revised four-dimension composite Sleep Health measure had acceptable reliability (Cronbach’s alpha 0.6). CFA showed a well-adjusted model (REMSA=0.097; NFI=0.964; RMR=0.035; GFI=0.990; AGFI=0.951). Conclusion These results suggest that the composite measure was valid for assessing sleep health among middle-aged and older adults. Limitations include the use of secondary data, as sleep health dimensions were based on variables not created specifically for our research question. Future research should further examine the role of sleep timing in overall sleep health among middle-aged and older adults. Support This study was supported by the University at Buffalo Clinical and Translational Science Institute (CTSI) funded by the National Institutes of Health (Lorenz, PI).

scholarly journals Frailty profile in Brazilian older adults

2019 ◽  
Vol 52 (Suppl 2) ◽  
pp. 17s ◽  
Author(s):  
Juliana Mara Andrade ◽  
Yeda Aparecida De Oliveira Duarte ◽  
Luciana Correia Alves ◽  
Flávia Cristina Drumond Andrade ◽  
Paulo Roberto De Souza Junior ◽  
...  
Keyword(s):  
Older Adults ◽  
Poisson Regression ◽  
Daily Living ◽  
Associated Factors ◽  
Functional Limitation ◽  
Health Conditions ◽  
Baseline Survey ◽  
Poisson Regression Model ◽  
Factors Associated ◽  
Health Factors

OBJECTIVE: To estimate the prevalence of frailty and to evaluate the associated factors in the non-institutionalized Brazilian population aged 50 years or older. METHODS: The analyses were conducted in 8,556 participants of the baseline survey of the Longitudinal Study of Health of the Brazilian Elderly (ELSI-Brazil) conducted in 2015 and 2016. Frailty was defined based on five characteristics: weight loss, weakness, slowness, exhaustion and low level of physical activity. Participants with three or more characteristics were classified as frail. A Poisson regression model was used to examine the association between frailty and sociodemographic and health factors. RESULTS: The prevalence of frailty was 9.0% (95%CI 8.0–10.1) among participants aged 50 years or over. Among the older adults aged 60 or over, the prevalence was 13.5% (95%CI 11.9–15.3) and 16.2% (95%CI 14.3–18.3) among those 65 aged years or over. Factors associated with higher prevalence of frailty were low schooling, residence without a partner, health conditions (poor self-rated health and two or more chronic diseases) and limitation to perform basic activities of daily living. CONCLUSIONS: The prevalence of frailty among Brazilians aged 65 years or older is similar to their European counterparts. Poor health conditions, functional limitation and low schooling emerge as the factors most strongly associated with the frailty in this population.

Fitness, Bmi, And Waist Circumference As Predictors Of Functional Limitation In Middle-aged And Older Adults

2009 ◽  
Vol 41 ◽  
pp. 124-125
Author(s):  
Andréa L. Maslow ◽  
Anna E. Mathews ◽  
Xuemei Sui ◽  
Duck-chul Lee ◽  
Ilkka Vuori ◽  
...  
Keyword(s):  
Older Adults ◽  
Waist Circumference ◽  
Functional Limitation ◽  
Middle Aged

548 Predicting Perceived Functional Limitation in Midlife and Older Adulthood: The Role of Sleep and Perceived Control

SLEEP ◽  
2021 ◽  
Vol 44 (Supplement_2) ◽  
pp. A216-A216
Author(s):  
Claire Williams ◽  
Sarah Ghose ◽  
Morgan Reid ◽  
Sahar Sabet ◽  
Ashley MacPherson ◽  
...  
Keyword(s):  
Older Adults ◽  
Sleep Quality ◽  
Perceived Control ◽  
Functional Limitations ◽  
Functional Limitation ◽  
Well Being ◽  
The United States ◽  
Control Beliefs ◽  
Middle Aged ◽  
Subjective Sleep Quality

Abstract Introduction Functional limitations become increasingly common and debilitating as individuals age, potentially impacting several facets of well-being. As such, it is important to understand malleable factors that may potentially impact functional limitation outcomes. Both sleep and perceived control have been linked to the development of functional limitation. The current study sought to clarify the unique contributions of both sleep quality and perceived control to functional limitation status in middle-aged and older adults. Methods Data from the second wave of the Midlife in the United States study were used for the current study. Participants included 527 participants (59.9% female, Mage=59.83 years, SD=9.75 years) who completed measures of functional limitation levels (Functional Status Questionnaire), subjective sleep quality (Pittsburg Sleep Quality Index), and perceived control (MIDI Sense of Control Scales). A hierarchical regression analysis was conducted to examine sleep quality and perceived control as predictors in a unique model for predicting functional limitation. Demographic variables of age, gender, and race were used as covariates in study analyses. Results The overall model predicted 19.0% of the variance in functional limitation levels. Sleep quality was significantly associated with self-reported functional limitation (β=-.27, p<.001) over and above perceived control (β=.20, p<.001). Specifically, findings indicate that worse sleep quality is associated with increased functional limitation, while higher levels of perceived control are associated with lower levels of functional limitation. Conclusion Though perceived control is known to be associated with functional limitation status, the present study suggests a unique effect of sleep quality on functional limitation even after accounting for perceived control. Due to the potential for negative effects of functional limitation in middle-aged to older adults, it is important to identify and target constructs for research and intervention related to the development of these limitations. Care models for individuals who report experiencing functional limitations may benefit from targeting sleep health and control beliefs in intervention and assessment. Support (if any):

Leisure sedentary time and physical activity are higher in neighbourhoods with denser greenness and better built environments: An analysis of the Canadian Longitudinal Study on Aging

2021 ◽  
Author(s):  
Irmina Klicnik ◽  
John David Cullen ◽  
Dany Doiron ◽  
Caroline Barakat ◽  
Chris Ardern ◽  
...  
Keyword(s):  
Physical Activity ◽  
Older Adults ◽  
Longitudinal Study ◽  
Vegetation Index ◽  
Normalized Difference Vegetation Index ◽  
Sedentary Time ◽  
Middle Aged ◽  
Using Data ◽  
Research Consortium ◽  
Middle Aged Adults

Associations of environmental variables with physical activity and sedentary time using data from the Canadian Longitudinal Study on Aging, and the Canadian Urban Environment Research Consortium (Canadian Active Living Environments (Can-ALE) dataset, and Normalized Difference Vegetation Index (NDVI, greenness) dataset) were assessed. The main outcome variables were physical activity and sedentary time as measured by a modified version of the Physical Activity for Elderly Scale. The sample consisted of adults aged 45 and older (n = 36,580, mean age 62.6±10.2, 51% female). Adjusted ordinal regression models consistently demonstrated that those residing in neighbourhoods in the highest Can-ALE category (most well-connected built environment) reported more physical activity and sedentary time. For example, males aged 75+ in the highest Can-ALE category had 1.9 times higher odds of reporting more physical activity (OR = 1.9, 95%CI = 1.1-3.4) and 1.8 higher odds of reporting more sedentary time (OR = 1.8, 95%CI = 1.0-3.4). Neighbourhoods with higher greenness scores were also associated with higher odds of reporting more physical activity and sedentary time. It appears that an environment characterized by higher Can-ALE and higher greenness may facilitate physical activity, but it also facilitates more leisure sedentary time in older adults; research using device measured total sedentary time, and consideration of the types of sedentary activities being performed is needed. Novelty: ●Middle-aged and older adults living in neighbourhoods with higher Can-ALE scores and more greenness report more physical activity and leisure sedentary time ●Greenness is important for physical activity and sedentary time in middle-aged adults

scholarly journals Neighborhood’s locality, road types, and residents’ multimorbidity: evidence from China’s middle-aged and older adults

2020 ◽  
Vol 20 (1) ◽  
Author(s):  
Xuexin Yu ◽  
Wei Zhang
Keyword(s):  
Older Adults ◽  
Chronic Diseases ◽  
Digestive Disease ◽  
Negative Binomial ◽  
Negative Binomial Regression ◽  
Baseline Survey ◽  
Middle Aged ◽  
Cross Sectional ◽  
Unpaved Roads ◽  
Neighborhood Level

Abstract Background Neighborhood factors have gained increasing attention, while the association between the neighborhood’s characteristics and multimorbidity has not been clarified. In this study, we aim to depict variations in the number of non-communicable chronic diseases (NCDs) as a function of urban vs. rural settings and road types. Methods The present cross-sectional study derived data from the China Health and Retirement Longitudinal Study 2011 National Baseline Survey. Negative binomial regression with clustered robust standard errors was performed to analyze variations in the number of NCDs among 13,414 Chinese middle-aged and older adults. Logistic regression models were employed to investigate the association between neighborhood-level characteristics and each NCD, respectively. Results First, over 65% of subjects had at least one NCDs, and over 35% had multimorbidity. Arthritis (33.08%), hypertension (24.54%), and digestive disease (21.98%) were the most prevalent NCDs. Urban vs. rural differences in multimorbidity were fully explained by neighborhood clustering variations (IRR = 1.02, 95% CI, 0.95–1.10). Living with paved roads was associated with a smaller number of NCDs relative to living with unpaved roads (IRR = 0.86, 95% CI, 0.78–0.95). Results from subgroup analyses suggested that in comparison with those living with unpaved roads, individuals living with paved roads respectively had lower odds of chronic lung disease (OR = 0.76, 95% CI, 0.63–0.93), chronic liver disease (OR = 0.74, 95% CI, 0.55–0.99), chronic kidney disease (OR = 0.68, 95% CI, 0.51–0.89), digestive disease (OR = 0.82, 95% CI, 0.69–0.97), arthritis or rheumatism (OR = 0.69, 95% CI, 0.55–0.87), and asthma (OR = 0.67, 95% CI, 0.51–0.88). Conclusions Urban vs. rural disparities in multimorbidity appeared to result from within-neighborhoods characteristics. The improvement in neighborhood-level characteristics, such as road pavement, holds promise to alleviate the increasing disease burden of chronic diseases.

scholarly journals Neighborhood's locality, road types, and residents' multimorbidity: evidence from China's middle-aged and older adults

2020 ◽  
Author(s):  
Xuexin Yu ◽  
Wei Zhang
Keyword(s):  
Older Adults ◽  
Chronic Diseases ◽  
Digestive Disease ◽  
Negative Binomial ◽  
Negative Binomial Regression ◽  
Baseline Survey ◽  
Middle Aged ◽  
Cross Sectional ◽  
Unpaved Roads ◽  
Neighborhood Level

Abstract Background Neighborhood factors have gained increasing attention, while the association between the neighborhood's characteristics and multimorbidity has not been clarified. In this study, we aim to depict variations in the number of non-communicable chronic diseases (NCDs) as a function of urban vs. rural settings and road types.Methods The present cross-sectional study derived data from the China Health and Retirement Longitudinal Study 2011 National Baseline Survey. Negative binomial regression with clustered robust standard errors was performed to analyze variations in the number of NCDs among 13,414 Chinese middle-aged and older adults. Logistic regression models were employed to investigate the association between neighborhood-level characteristics and each NCD, respectively. Results First, over 65% of subjects had at least one NCDs, and over 35% had multimorbidity. Arthritis (33.08%), hypertension (24.54%), and digestive disease (21.98%) were the most prevalent NCDs. Urban vs. rural differences in multimorbidity were fully explained by neighborhood clustering variations (IRR = 1.02, 95% CI, 0.95 - 1.10). Living with paved roads was associated with a smaller number of NCDs relative to living with unpaved roads (IRR = 0.86, 95% CI, 0.78 - 0.95). Results from subgroup analyses suggested that in comparison with those living with unpaved roads, individuals living with paved roads respectively had lower odds of chronic lung disease (OR = 0.76, 95% CI, 0.63 - 0.93), chronic liver disease (OR = 0.74, 95% CI, 0.55 - 0.99), chronic kidney disease (OR = 0.68, 95% CI, 0.51 - 0.89), digestive disease (OR = 0.82, 95% CI, 0.69 - 0.97), arthritis or rheumatism (OR = 0.69, 95% CI, 0.55 - 0.87), and asthma (OR = 0.67, 95% CI, 0.51 - 0.88). Conclusions Urban vs. rural disparities in multimorbidity appeared to result from within-neighborhoods characteristics. The improvement in neighborhood-level characteristics, such as road pavement, holds promise to alleviate the increasing disease burden of chronic diseases.

scholarly journals Neighborhood's locality, road types, and residents' multimorbidity: evidence from China's middle-aged and older adults

2020 ◽  
Author(s):  
Xuexin Yu ◽  
Wei Zhang
Keyword(s):  
Older Adults ◽  
Chronic Diseases ◽  
Digestive Disease ◽  
Negative Binomial ◽  
Negative Binomial Regression ◽  
Baseline Survey ◽  
Middle Aged ◽  
Cross Sectional ◽  
Unpaved Roads ◽  
Neighborhood Level

Abstract Background Neighborhood factors have gained increasing attention, while the association between the neighborhood's characteristics and multimorbidity has not been clarified. In this study, we aim to depict variations in the number of non-communicable chronic diseases (NCDs) as a function of urban vs. rural settings and road types.Methods The present cross-sectional study derived data from the China Health and Retirement Longitudinal Study 2011 National Baseline Survey. Negative binomial regression with clustered robust standard errors was performed to analyze variations in the number of NCDs among 13,414 Chinese middle-aged and older adults. Logistic regression models were employed to investigate the association between neighborhood-level characteristics and each NCD, respectively. Results First, over 65% of subjects had at least one NCDs, and over 35% had multimorbidity. Arthritis (33.08%), hypertension (24.54%), and digestive disease (21.98%) were the most prevalent NCDs. Urban vs. rural differences in multimorbidity were fully explained by neighborhood clustering variations (IRR = 1.02, 95% CI, 0.95 - 1.10). Living with paved roads was associated with a smaller number of NCDs relative to living with unpaved roads (IRR = 0.86, 95% CI, 0.78 - 0.95). Results from subgroup analyses suggested that in comparison with those living with unpaved roads, individuals living with paved roads respectively had lower odds of chronic lung disease (OR = 0.76, 95% CI, 0.63 - 0.93), chronic liver disease (OR = 0.74, 95% CI, 0.55 - 0.99), chronic kidney disease (OR = 0.68, 95% CI, 0.51 - 0.89), digestive disease (OR = 0.82, 95% CI, 0.69 - 0.97), arthritis or rheumatism (OR = 0.69, 95% CI, 0.55 - 0.87), and asthma (OR = 0.67, 95% CI, 0.51 - 0.88). Conclusions Urban vs. rural disparities in multimorbidity appeared to result from within-neighborhoods characteristics. The improvement in neighborhood-level characteristics, such as road pavement, holds promise to alleviate the increasing disease burden of chronic diseases.

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