scholarly journals Central Obesity and Health-related Factors among Middle-aged Men: a Comparison among Native Japanese and Japanese-Brazilians Residing in Brazil and Japan

2007 ◽  
Vol 26 (3) ◽  
pp. 339-347 ◽  
Author(s):  
Andiara Schwingel ◽  
Yoshio Nakata ◽  
Lucy S. Ito ◽  
Wojtek J. Chodzko-Zajko ◽  
Christopher T. Erb ◽  
...  
2003 ◽  
Vol 10 (3) ◽  
pp. 99-106 ◽  
Author(s):  
Carita Håkansson ◽  
Lena Svartvik ◽  
Jonas Lidfeldt ◽  
Christina Nerbrand ◽  
Göran Samsioe ◽  
...  

2021 ◽  
Vol 5 (Supplement_1) ◽  
pp. 732-732
Author(s):  
Brendan O'Shea ◽  
Jessica Finlay ◽  
Jasdeep Kler ◽  
Carly Joseph ◽  
Lindsay Kobayashi

Abstract We aimed to estimate the prevalence of loneliness and identify the key sociodemographic, employment, living, and health-related risk factors for loneliness among middle-aged and older adults during the early COVID-19 pandemic in the US, when shelter-in-place and social distancing restrictions were in place for much of the country. Data were collected from online questionnaires in the COVID-19 Coping Study, a national study of 6,938 US adults aged 55-110 years, from April 2nd through May 31st, 2020. We estimated the population-weighted prevalence of loneliness (scores of ≥6/9 on the 3-item UCLA Loneliness Scale), overall and according to sociodemographic, employment, living, and health-related factors. We used population-weighted modified Poisson regression models to estimate prevalence ratios (PRs) and 95% confidence intervals (CIs) for the associations between these factors and loneliness, adjusted for age, sex, race, ethnicity, and education. Overall, 29.5% (95% CI: 27.9%, 31.3%) of US adults aged 55-110 were considered high in loneliness in April and May, 2020. In population-weighted, adjusted models, loneliness was most frequent among those with depression, those who were divorced or separated, those who lived alone, those diagnosed with multiple comorbid conditions, and individuals who were unemployed prior to the pandemic. In conclusion, we identified subpopulations of middle-aged and older US adults that were highly affected by loneliness during a period when COVID-19 shelter-in-place orders were in place across most of the country. These insights may inform the allocation of recourses to mitigate loneliness during times of restricted activity.


Author(s):  
Sanghee Kim

Background & Aim: Life after middle age accounts for almost half of the life cycle, along with global increases in life expectancy; it is important to manage the life satisfaction of middle-aged women as they transition from adulthood to old age. This study sought to investigate the life satisfaction of middle-aged women and identify the factors affecting them in various ways. Methods & Materials: As secondary research, sample data were sourced from the 2016 Korean Longitudinal Study of Aging -sixth wave of KLoSA- by the Ministry of Employment and Labor and the Korean Employment Information Service in Korea. Results: Factors affecting the life satisfaction of middle-aged women include individual factors such as religion, household income, marriage, and educational background (all p<.05); health-related factors such as depression and smoking; family-related factors such as frequent contact with nonresident children; and socio-cultural factors such as leisure activity or trips (all p<.05). Conclusion: The life satisfaction and influencing factors for middle-aged women identified in this study should be used as a basis for successful and healthy aging preparation in women’s health policy.


2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Bingbing Li ◽  
Nan Liu ◽  
Donghui Guo ◽  
Bo Li ◽  
Yan Liang ◽  
...  

Abstract Background The connections between sleep quality and central obesity among reproductive-aged women are not clear. The study aimed to explore the association between sleep quality and central obesity among Chinese reproductive-aged women and identify the independent contributions of sociodemographic characteristics, health-related factors, and sleep quality to central obesity. Methods In this cross-sectional survey, the minimal sample sizes were 2404 subjects; 2449 Chinese women aged 18–49 participated in this study. Sleep quality was assessed by the Chinese version of the Pittsburgh Sleep Quality Index (PSQI). Central obesity as the outcome of interest was a binary variable; women were categorized as with versus without central obesity measured by waist circumference (WC). The independent contribution of sociodemographic characteristics (Cluster 1), health-related variables (Cluster 2), and sleep quality (Cluster 3) to central obesity was derived from the corresponding R2 change (individual R2 change/total R2 × 100%), using clustered multiple logistic regression analyses. Results The risk of central obesity increased significantly with poor sleep quality (assessed by global PSQI score) [adjusted odds ratio (OR) = 2.20 per SD increase; 95% confidence interval (CI) = 1.28–3.78; P = 0.004], increased sleep disturbance score (adjusted OR = 1.11 per SD increase; 95% CI = 1.01–1.22; P = 0.042) and decreased subjective sleep quality score (adjusted OR = 0.81 per SD increase; 95% CI = 0.73–0.90; P < 0.001). The independent contribution of sleep quality was 9.9%, less than those of sociodemographic (73.3%) and health-related (16.8%) variables. Among complaints related to sleep disturbance, the inability to breathe comfortably, and having bad dreams showed significant associations with central obesity. Conclusions There exists some degree of correlation between sleep quality and central obesity among Chinese reproductive-aged women. These findings underscore the need for future public health guidelines to formulate some detailed strategies to improve sleep quality, such as preventing and intervening risk factors that influence sleep quality and suggesting optimal sleep duration, which might effectively reduce the incidence of central obesity in this population group.


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