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Iran is a developing country with low levels of economic development and globalization and is ruled by a theocratic government. To address the lack of national research on well-being in Iran, this retrospective observational study aims to examine life satisfaction and its main determinants among Iranian adults. Using World Gallup Poll data collected between 2006 and 2017, we examined life satisfaction as a cognitive aspect of subjective well-being in relation to various factors. Our results show that income is the strongest predictor of life satisfaction, followed by standard of living, gender, social support, age, negative affect, and education. In developing countries such as Iran, which face significant economic, political, and social challenges, individuals prioritize the satisfaction of basic needs by emphasizing factors such as the socioeconomic status. In contrast, developed countries with established welfare systems may emphasize other values such as social connections and healthy lifestyle behaviors as key factors in life satisfaction. This study contributes to a deeper understanding of the determinants of life satisfaction in Iran and provides insights for future research and policy making. [ABSTRACT FROM AUTHOR]

Women's health is the foundation of society's health and it can be achieved only by addressing all aspects of their health. The aim of this systematic review and meta-analysis is to investigate the prevalence of social health of Iranian women and related factors. The PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) was used for reporting; the terms "social health," "women," "Iran," and related keywords were searched in PubMed, Web of Science, Scopus, PsychoInfo, ProQuest and local databases, SID, Magiran, Irandoc, Elmnet, and Noormags up to August 2022. The published English or Persian quantitative primary studies which were conducted in Iran and reported social health or its dimensions among Iranian women were included. The studies were assessed by quality assessment tool for observational cohort and cross-sectional studies developed by National Heart, Lung, and Blood Institute. From the 786 studies retrieved, 22 studies were finally included surveying different groups of women. Age, marital status, education, employment, socioeconomic status, social support, social participation, social trust, social security, communication skills, and self-esteem were the factors affecting women's social health. Five studies entered meta-analysis and mean score of social health was 98.54 (95% CI: 87.56–109.51) and it was the lowest among women who were the head of households. Since women's social health has been less considered in the society and research studies, further policies, legislations, and capacity building in mentioned fields are necessary. As social health is an important aspect of health, it is necessary for governments to address the known determinants of women's social health in order to plan and promote the health of women, family, and finally society. [ABSTRACT FROM AUTHOR]

This study aimed to explore the effect of the Wuhan lockdown on body mass index (BMI) among Wuhan residents as well as factors including food habits affected and changes in physical activity mediating the association. As a survey of the Wuhan lockdown, a random digit dialing method was used to sample residents aged 18 years and older. A computer-aided telephone interview was applied to survey 11,223 residents in Wuhan City in July 2020. Ordinary least squares (OLS) regression and mediation analysis were used to analyze the influence of the Wuhan lockdown on BMI. Demographic characteristics, lifestyle characteristics, and health status differed statistically significantly between residents living in and those who left Wuhan during the lockdown (mean BMI, 23.05 ± 0.04 kg/m2 and 22.34 ± 0.06 kg/m2, respectively). The mean BMI among residents living in Wuhan was 0.42 kg/m2 higher (P < 0.001) than that of residents who left Wuhan during the lockdown, as determined by multivariate OLS regression analysis. Residents living in Wuhan during the lockdown had higher BMI among those aged 18–29 and 30–44 years (P < 0.001), with no difference among those aged 45+ years. The association between living in Wuhan and increased BMI was the strongest among residents who were overweight/obese. The mediation analysis results showed an indirect effect path with living in Wuhan (through decreased physical activity and increasing BMI) and the direct effect of living in Wuhan during the lockdown. The lack of association between living in Wuhan and increased BMI among residents aged 45+ years was due to the indirect influence of living in Wuhan affecting food habits. The findings indicated that the lockdown in Wuhan city increased residents' BMI, especially among those who were young or overweight/obese, partly because of decreased physical activity. [ABSTRACT FROM AUTHOR]

Older people prefer to remain living in their own home for as long as possible; however, many require support to do so through health and other care services provided in the home. This study aimed to explore the trends in usage of a home-based care service by older people in metropolitan Melbourne and factors associated with unplanned hospitalisations. This longitudinal study analysed episodes of home-based care for people aged ≥65 years between 2006 and 2015. An episode of care was defined as the period of time during which the home care services were provided to the client. Care episodes culminated in a planned discharge from the service or an unplanned hospitalisation. Descriptive statistics and multivariable logistic regression were utilised to investigate the characteristics associated with unplanned hospitalisations. Utilisation of home-based care services over the 10-year period showed an increasing rate of use by people aged ≥85 years and a reduced usage rate by females aged 70–84 years and males 75–79 years old. Of 170,001 episodes of care, 43,608 (25.7%) resulted in an unplanned hospitalisation. Home-based care delivered to people aged ≥85 years showed an increasing rate of episodes ending in an unplanned transfer to the hospital. Between 2006 and 2015, individuals aged 85–89 years displayed a rate increase of 18.7% in episodes ending in an unplanned hospitalisation; for those aged ≥90 years, the rate rise was 43.6%. Factors associated with an unplanned hospitalisation included advancing age, male gender, living alone, cognitive dysfunction, and the complexity of medical issues. Health policy has focussed on providing services to enable older people to remain in their own home. The increasing rate of unplanned hospitalisations for community-dwellers aged ≥85 years suggests more support is required to enable ageing in place. [ABSTRACT FROM AUTHOR]