scholarly journals Chronic disease and lifestyle factors associated with change in sleep duration among older adults in the Singapore Chinese Health Study

2015 ◽  
Vol 25 (1) ◽  
pp. 57-61 ◽  
Author(s):  
Stephen F. Smagula ◽  
Woon-Puay Koh ◽  
Renwei Wang ◽  
Jian-Min Yuan
2020 ◽  
Vol 4 (Supplement_1) ◽  
pp. 168-168
Author(s):  
Jon Barrenetxea ◽  
Yang Yi ◽  
Woon Puay Koh ◽  
Feng Qiushi

Abstract Social isolation is a determinant of mortality and well-being among older people. Factors associated with isolation could be different in societies where older adults live mainly with family, as individuals might feel isolated despite living with others. We studied the factors associated with isolation among 16,948 older adults from follow-up 3 of the Singapore Chinese Health Study, a population-based cohort of older Singapore Chinese (mean age of 73, range: 61-96 years). We defined social isolation as having “zero hour per week” of participation in social activities involving 3 or more people and scoring the lowest decile on the Duke Social Support Scale of perceived social support. We used multivariable logistic regressions to compute odds ratio (OR) and 95% confidence interval (CI) for factors associated with likelihood of social isolation. Although only 14.4% of isolated participants lived alone, living alone remained a significant factor associated with isolation (OR 1.93, 95% CI 1.58-2.35), together with cognitive impairment (OR 1.73, 95% CI 1.46-2.04) and depression (OR 2.44, 95% CI 2.12-2.80). Higher education level was inversely associated with isolation (p for trend<0.001). In stratified analysis, among those living alone, compared to women, men had higher odds of social isolation (OR 2.18, 95% CI 1.43-3.32) than among those not living alone (OR 0.99, 95% CI 0.84-1.17) (p for interaction<0.001). Our results showed that living alone, cognitive impairment and depression were indicators of isolation among older Singaporeans. In addition, among those living alone, men were more likely to experience social isolation than women.


2021 ◽  
pp. 1-17
Author(s):  
Jon Barrenetxea ◽  
Yi Yang ◽  
Kyriakos S. Markides ◽  
An Pan ◽  
Woon-Puay Koh ◽  
...  

Abstract While having social support can contribute to better health, those in poor health may be limited in their capacity to receive social support. We studied the health factors associated with social support among community-dwelling older adults in Singapore. We used data from the third follow-up interviews (2014–2016) of 16,943 participants of the Singapore Chinese Health Study, a population-based cohort of older Singapore Chinese. Participants were interviewed at a mean age of 73 years (range 61–96 years) using the Duke Social Support Scale (DUSOCS). We first applied ordinary least squares regression to DUSOCS scores and found that those with instrumental limitations, poor self-rated health, cognitive impairment and depression had lower social support scores. We then applied latent class analysis to DUSOCS answer patterns and revealed four groups of older adults based on the source and amount of social support. Among them, compared to the ‘overall supported’ group (17%) with the highest social support scores and broad support from family members and non-family individuals, the ‘family restricted’ (50%) group had the lowest social support scores and only received support from children. Health factors associated with being ‘family restricted’ were instrumental limitations (odds ratio (OR) = 1.33, 95% confidence interval (CI) = 1.19–1.49), poor self-rated health (OR = 1.40, 95% CI = 1.28–1.53), cognitive impairment (OR = 1.19, 95% CI = 1.04–1.37) and depression (OR = 2.50, 95% CI = 2.22–2.82). We found that while older adults in poor health have lower social support scores, they were more likely to receive a lot of support from children. Our results showed that lower social support scores among Singaporean older adults in poor health may not indicate lack of social support, but rather that social support is restricted in scope and intensified around children. These results may apply to other Asian societies where family plays a central role in elder-care.


Gerontology ◽  
2021 ◽  
pp. 1-9
Author(s):  
Jon Barrenetxea ◽  
Yi Yang ◽  
An Pan ◽  
Qiushi Feng ◽  
Woon-Puay Koh

<b><i>Introduction:</i></b> Although living alone is associated with social disconnection, older adults could be socially disconnected despite living with others. Understanding the factors associated with social disconnection by living arrangement could help identify vulnerable older adults in the community. We examined the sociodemographic and health factors associated with social disconnection among two groups of older adults: those living alone and those living with others. <b><i>Methods:</i></b> We used data from 16,943 community-dwelling older adults from the third follow-up of the Singapore Chinese Health Study (mean age: 73 years, range: 61–96 years). We defined social disconnection as having no social participation and scoring in the lowest decile on the Duke Social Support Scale of perceived social support. We ran logistic regression models to study the sociodemographic (age, gender, and education) and health (self-rated health, instrumental limitations, cognitive function, and depression) factors associated with social disconnection, stratified by living arrangement. <b><i>Results:</i></b> About 6% of our participants were socially disconnected. Although living alone was significantly associated with social disconnection (OR 1.93, 95% CI: 1.58–2.35), 85.6% of socially disconnected older adults lived with others, most of them (92%) with family. Lower education level, cognitive impairment, fair/poor self-rated health, instrumental limitations, and depression were independently associated with social disconnection. Among those living alone, men were more likely to experience social disconnection than women (OR 2.18, 95% CI: 1.43–3.32). <b><i>Discussion/Conclusion:</i></b> Though living alone is associated with social disconnection, most socially disconnected individuals lived with family. Community interventions could focus on those in poor health despite living with family and older men living alone.


2020 ◽  
Vol 4 (Supplement_1) ◽  
pp. 169-169
Author(s):  
Jon Barrenetxea ◽  
Yang Yi ◽  
Kyriakos S Markides ◽  
Woon Puay Koh ◽  
Feng Qiushi

Abstract While having social support can contribute to the health of older adults, those in poor health may be limited in their capacity to receive social support. We studied health factors associated with social support among 16,948 participants from follow-up 3 of the Singapore Chinese Health Study, a population-based cohort of older Singapore Chinese. Participants were interviewed at mean age of 73 years (range from 61 to 96 years) using the Duke Social Support Scale. Latent Class Analysis (LCA) was applied to derive groups based on the source and intensity of social support. We ran multivariate logistic regression models to study health factors associated with group membership. LCA revealed four groups in increasing social support scores: The “family restricted”, who had the lowest social support scores and only received support from family (50%); the “loners”, who had some support from extended family and non-family (5%); the “family oriented”, who had broad family support and some non-family support (28%); and the “overall supported”, who had the highest social support scores and received broad support from family, extended family and non-family (17%). Compared to the “overall supported” group, health factors associated with being “family restricted” were: having instrumental limitations [odds ratio (OR) 1.34, 95% confidence interval (CI) 1.19-1.50], having poor self-rated health (OR 1.40, 95% CI 1.28-1.54), being depressed (OR 2.49, 95% CI 2.21-2.81) and being cognitively impaired (OR 1.19, 95% CI 1.04-1.37). Our results showed that older adults in poor health received social support mainly from family.


Circulation ◽  
2014 ◽  
Vol 129 (suppl_1) ◽  
Author(s):  
An Pan ◽  
Jian-Min Yuan ◽  
Woon-Puay Koh

Introduction: Short or long sleep hours are associated with adverse health outcomes, including diabetes, hypertension, coronary heart disease (CHD) and total mortality. However, the prospective relation between sleep duration and stroke risk is less studied, particularly in Asians. Thus, we assessed the hypothesis that short (≤5 hours) and long (≥9 hours) sleep durations were related to increased risk of stroke mortality among Chinese adults residing in Singapore. Methods: The Singapore Chinese Health Study is a population-based cohort that recruited 63,257 Chinese adults aged 45-74 years during 1993 and 1998. Sleep duration was assessed at baseline and categorized to five groups: ≤5, 6, 7, 8 or ≥9 hours. Death information was identified via registry linkage up to December 31, 2011, with ICD-9 codes 430-438 for all stroke deaths, 430-432 for hemorrhagic, and 433-438 for ischaemic or non-specified stroke deaths. Cox proportional hazard models were used to calculate hazard ratios (HRs) with adjustment for socio-demographic, lifestyle and comorbidities. Results: We documented 1,381 total stroke deaths (322 hemorrhagic and 1,059 ischaemic or non-specified strokes) during 926,752 person-years of follow-up. Compared to the reference group of sleeping for 7 hours, the multivariate-adjusted HR (95% confidence interval) for total stroke mortality was 1.25 (1.05-1.50) for ≤5 hours, 1.01 (0.87-1.18) for 6 hours, 1.09 (0.95-1.26) for 8 hours, and 1.54 (1.28-1.85) for ≥9 hours. The increased risk was also observed for ischaemic or non-specified stroke deaths with short (1.37; 1.12-1.68) and long (1.68; 1.36-2.06) sleep durations, but not for hemorrhagic stroke deaths (0.92 [0.62-1.36] and 1.14 [0.76-1.72], respectively). We observed significant interaction with baseline hypertension (P-interaction=0.04): positive association was found for short (1.54; 1.16-2.03) and long (1.95; 1.48-2.57) sleep durations among individuals with baseline hypertension, but not among those without baseline hypertension (1.07 [0.85-1.36] and 1.27 [0.98-1.63], respectively). Furthermore, in participants without baseline CHD/stroke, short and long sleep durations were related to an increased risk (HR 1.30 [1.07-1.57] and 1.43 [1.16-1.76], respectively); while in CHD/stroke patients, only long sleep duration was associated with an increased risk (2.34; 1.53-3.57), but not the short sleep duration (0.96; 0.57-1.62). Conclusions: In this large cohort study of Chinese adults, both short and long sleep durations were significantly associated with increased risks of stroke mortality. The associations were significant and stronger in hypertensive participants, but not in those without hypertension. Further studies are needed to confirm the interaction with hypertension and explore the mechanisms linking sleep quantity and stroke mortality.


BMJ Open ◽  
2019 ◽  
Vol 9 (8) ◽  
pp. e028646 ◽  
Author(s):  
Juan Li ◽  
Bei Wu ◽  
Kjerstin Tevik ◽  
Steinar Krokstad ◽  
AS Helvik

ObjectivesThe primary objective was to investigate the prevalence and factors associated with elevated alcohol consumption among older adults 65 years and above in China and Norway. The secondary objective was to compare the prevalence and factors in the two countries.DesignA secondary data analysis was conducted using two large cross-sectional studies (Chinese Longitudinal Healthy Longevity Survey data in 2008–2009 and Nord-Trøndelag Health Study data in 2006–2008).ParticipantsA total of 3223 (weighted) Chinese older adults and 6210 Norwegian older adults who responded drinking alcohol were included in the analysis.Outcome measuresThe dependent variable was elevated alcohol consumption, which was calculated as a ratio of those with elevated drinking among current drinkers. Multivariable logistic regression was used to test the dependent variable.ResultsThe prevalence of elevated alcohol consumption among current drinkers for the Chinese and Norwegian samples were 78.3% (weighted) and 5.1%, respectively. Being male was related to a higher likelihood of elevated alcohol consumption in both Chinese and Norwegian samples (OR=2.729, 95% CI 2.124 to 3.506, OR=2.638, 95% CI 1.942 to 3.585). Being older, with higher levels of education and a living spouse or partner were less likely to have elevated drinking in the Chinese sample (OR=0.497, 95% CI 0.312 to 0.794, OR=0.411, 95% CI 0.260 to 0.649, OR=0.533, 95% CI 0.417 to 0.682, respectively). Among Norwegian older adults, a higher level of education was related to higher likelihood of elevated drinking (OR=1.503, 95% CI 1.092 to 2.069, OR=3.020, 95% CI 2.185 to 4.175). Living in rural areas and higher life satisfaction were related to lower likelihood of elevated drinking in the Norwegian sample (OR=0.739, 95% CI 0.554 to 0.984, OR=0.844, 95% CI 0.729 to 0.977, respectively).ConclusionsThe elevated alcohol consumption patterns were strikingly different between China and Norway in regards to prevalence and socioeconomic distribution. To develop and implement culturally appropriate public health policies regarding alcohol in the future, public health policy makers and professionals need to be aware of the cultural differences and consider the demographic, social and economic characteristics of their intended population.


2019 ◽  
Vol 3 (Supplement_1) ◽  
pp. S837-S837
Author(s):  
Cynthia Chen

Abstract Singapore is one of the fastest-aging populations due to increased life expectancy and lowered fertility. Lifestyle changes increase the burden of chronic diseases and disability. These have important implications for social protection systems. The goal of this paper is to model future functional disability and healthcare expenditures based on current trends. To project the health, disability and hospitalization spending of future elders, we adapted the Future Elderly Model (FEM) to Singapore. The FEM is a dynamic Markov microsimulation model developed in the US. Our main source of population data was the Singapore Chinese Health Study (SCHS) consisting of 63,000 respondents followed up over three waves from 1993 to 2010. The FEM model enables us to investigate the effects of disability compounded over the lifecycle and hospitalization spending, while adjusting for competing risk of multi-comorbidities. Results indicate that by 2050, 1 in 6 older adults will have at least one ADL disability and 1 in 3 older adults will have at least one IADL disability, an increase from 1 in 12 elders and 1 in 5 elders respectively in 2014. The highest prevalence of functional disability will be in those aged 85 years and above. Lifetime hospitalization spending of elders aged 55 and above is US$24,400 (30.2%) higher among people with functional disability compared to those without disability. Policies that successfully tackle diabetes and promote healthy living may reduce or delay the onset of disability, leading to potential saving. In addition, further technological improvements may reduce the financial burden of disability.


2018 ◽  
Vol 38 (11) ◽  
pp. 404-418 ◽  
Author(s):  
Vicky C. Chang ◽  
Jean-Philippe Chaput ◽  
Karen C. Roberts ◽  
Gayatri Jayaraman ◽  
Minh T. Do

Introduction Sleep is essential for both physical and mental well-being. This study investigated sociodemographic, lifestyle/behavioural, environmental, psychosocial and health factors associated with sleep duration among Canadians at different life stages. Methods We analyzed nationally representative data from 12 174 Canadians aged 3–79 years in the Canadian Health Measures Survey (2009–2013). Respondents were grouped into five life stages by age in years: preschoolers (3–4), children (5–13), youth (14–17), adults (18–64) and older adults (65–79). Sleep duration was classified into three categories (recommended, short and long) according to established guidelines. Logistic regression models were used to identify life stage–specific correlates of short and long sleep. Results The proportion of Canadians getting the recommended amount of sleep decreased with age, from 81% of preschoolers to 53% of older adults. Statistically significant factors associated with short sleep included being non-White and having low household income among preschoolers; being non-White and living in a lone-parent household among children; and second-hand smoke exposure among youth. Boys with a learning disability or an attention-deficit/hyperactivity disorder and sedentary male youth had significantly higher odds of short sleep. Among adults and older adults, both chronic stress and arthritis were associated with short sleep. Conversely, mood disorder and poor/fair self-perceived general health in adults and weak sense of community belonging in adults and older men were associated with long sleep. Conclusion Our population-based study identified a wide range of factors associated with short and long sleep at different life stages. This may have implications for interventions aimed at promoting healthy sleep duration.


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