Rural urban differences in self-rated health among older adults: examining the role of marital status and living arrangements

Exploring the workload of informal caregiving in the context of HIV/NCD multimorbidity in South Africa

The importance of informal caregiving for chronic illness has been well established in African contexts but is underexplored in the context of HIV/NCD multimorbidity, particularly in South Africa. Building on treatment burden theories that investigate workload in the context of chronic illness, this paper explores how informal caregiving networks impact the capacity of people living with multimorbidity (PLWMM) in low-income settings in urban and rural South Africa. Qualitative semi-structured interviews were carried out with thirty people living with multimorbidity and sixteen informal caregivers between February and April 2021 in two settings, Cape Town (urban) and Bulungula (rural). Interviews were transcribed and data analysed both inductively and deductively using framework analysis, hereby, building on the principles of the burden of treatment theory (BoTT) as a theoretical lens. Our findings show that informal carers provided different types of support to people living with multimorbidity, including emotional, logistical, health services and informational support to ease the patient's treatment burden. Additional support networks, access to grants or financial security, and feeling a duty to care eased the perceived carer burden while a lack of social support, financial hardship and insufficient information decreased their capacity to support others. Overall, the availability of informal caregiving increases the self-management capacity of people living with multimorbidity in low-income settings in South Africa. Informal caregiving in the context of multimorbidity is structured through social obligations, kinship connections, cultural expectations, and an individual sense of agency. Carers, even when committed to assist, also experience caregiving opportunity costs, which are rarely addressed in the literature. By proposing interventions that can actively support informal caregivers, we can begin to develop solutions that can optimize the role of informal care networks, with a view to improve health-outcomes of PLWMM in South Africa.

Exploring factors associated with self-rated health in individuals with diabetes and its impact on quality of life: Evidence from the Survey of Health, Ageing, and Retirement in Europe

BACKGROUND

Self-rated health (SRH), a measure of self-reported general health, is a robust predictor of morbidity and mortality in various populations, including people with diabetes. Diabetes is negatively associated with SRH and quality of life (QoL). Little is known about how people with diabetes rate their health and which aspects influence the rating. Also, the predictive value of SRH on future QoL has not yet been evaluated.

METHODS

We analyzed data from 46 592 participants of the Survey of Health, Ageing and Retirement in Europe (SHARE). Using linear regression, we aimed to determine which sociodemographic, socioeconomic, medical, social, mental, and health behavior factors determine SRH in people with diabetes. In addition, we analyzed the predictive value of SRH on future QoL using the generalized estimating equations procedure.

RESULTS

We determined that country, current job situation, hospitalization, pain, polypharmacy, memory, eyesight, activities of daily living, number of chronic diseases, and depression are all linked to SRH. Together these variables explained 38% of the SRH's variance, whereas depression, pain, and memory had the greatest influence on SRH of people with diabetes. We also found that SRH independently predicted future QoL, supported by a regression coefficient of β = -1.261 (Wald chi-square test, χ2 = 22.097, df = 1, p < .05).

CONCLUSIONS

As SRH is linked to future QoL, we conclude that incorporating SRH assessment into medical evaluations can help health care professionals gaining a more comprehensive understanding of an individual's health trajectory and supporting patients to enhance their QoL.

Unveiling the dynamics of social engagement and subjective health in older adults: A gendered perspective

OBJECTIVES

As populations age globally, understanding the dynamics that influence the well-being of older individuals become increasingly crucial. The research employs a comprehensive approach to unravel the multifaceted interplay between social engagements and subjective health perceptions of older Indians, with a special focus on gender differences.

SUBJECTS AND METHODS

This study used data from the Longitudinal Aging Study in India (LASI) wave 1, 2017-18 with a total sample of 30,533 older adults aged 60 years and above. Bivariate analysis, chi-square tests and unadjusted and adjusted average marginal effects from logistic regression models were used to assess the relationship between social engagements and subjective health among older adults, stratified by gender.

RESULTS

The prevalence of poor health status decreased with higher frequency of social networks among both men (pp. (percentage point) = 6.1; CI (Confidence Interval): 10.6, 1.6) and women (pp. = 9.2; CI: 14.9, 3.4). The adjusted average marginal effects demonstrate that with an increase in the overall score of social engagement, the likelihood of poor health is almost reduced by half. For men, the prevalence of poor health was 9.8 pp. (95 % CI: 13.7, 5.8), while for women, it was 9.3 pp. (95 % CI: 15.2, 3.1).

CONCLUSION

Gendered perspectives unveil unique patterns, highlighting how societal expectations and roles assigned to each gender may influence the subjective health perceptions of older individuals. This study adds to the expanding knowledge base to enhance the well-being and fulfillment of aging populations, considering the complex interplay of social dynamics and gendered perspectives.

Differentials in self-reported health status and healthcare utilization among homeless women during the antenatal period in urban settings: Does migration status matter?

Background

Limited studies have covered the nexus between homelessness, migration, and maternal health. However, most homeless women are migrants and have high-risk fertility behaviors. Therefore, the present study examines the variation in antenatal health and healthcare behavior among homeless women, focusing on migration status.

Methods

The present study employed a mixed-methods approach. A cross-sectional quantitative survey using Time and Location sampling (TLS) and face-to-face interviews was carried out for the quantitative component. Further, qualitative data was gathered through in-depth interviews using purposive sampling. Descriptive statistics, bivariate analysis with the Pearson chi-square test, and multivariate logistic models estimated qualitative results. Further, the thematic analysis presented qualitative findings.

Results

Out of 400 respondents, 76 % were migrants, and 57 % reported poor SRH. The likelihood of poor SRH was 1.07 times higher among migrants than non-migrants. A higher likelihood of poor SRH was found among beggars and ragpickers. Similarly, it was prevalent among the respondents who lived alone, mainly migrants. Almost 80 % of migrants reported experiencing depression. The unmet need for health visits was substantial among the study population (41 %), and it was found to be noteworthy among migrants (51 %). Several individual, socioeconomic, and structural factors were identified as barriers to healthcare utilization.

Conclusion

Poor antenatal health was substantial among homeless women, mainly migrants. Public and private healthcare visits were inadequate among homeless women who were migrants. Several individual, socioeconomic, and structural factors affected healthcare utilization. The study highlights the urgent need to introduce population-centric programs and policies to promote reproductive health among homeless women.

Social transition, socioeconomic status and self-rated health in China: evidence from a national cross-sectional survey (CGSS)

Background

Social transition is one of the multi-level mechanisms that influence health disparities. However, it has received less attention as one of the non-traditional social determinants of health. A few studies have examined China's social transition and its impact on health inequality in self-rated health (SRH). Therefore, this study explores the impact of China's market-oriented reforms-social transition and socioeconomic status (SES)-on residents' SRH.

Methods

Using the cross-sectional data from the Chinese General Social Survey (CGSS) in 2017, we analyzed the effects of social transition and SES on the SRH of Chinese residents using the RIF (Recentered influence function) method. The RIF decomposition method investigated health differences among different populations and their determinants.

Results

Social transition and SES have significant positive effects on the SRH of Chinese residents. The correlation between SES and the SRH of Chinese residents is moderated by social transition, implying that social transition can weaken the correlation between SES and the SRH of Chinese residents. The impacts of SES and social transition on SRH vary across populations.

Conclusion

Promoting social transition and favoring disadvantaged groups with more resources are urgently needed to promote equitable health outcomes.

Research on the health status and influencing factors of the older adult floating population in Shanghai

Introduction

Over the past decade, against the dual background of population aging and mobility, the older adult/adults floating population has become a new type of mobile group in China, continually congregating in large cities, posing significant challenges to the socio-economic development, eldercare services, and public management of these metropolises. Shanghai, as a mega-city and the economic center of the China, is typically representative of the national population.

Methods

Based on the dynamic monitoring data of Shanghai's floating population in 2018, this research uses mathematical statistics and binary Logistic regression models.

Objective

This research analyzes the demographic characteristics and health status of the older adult/adults floating population in Shanghai in the new era and reveals its primary influencing factors.

Results and discussion

(1) A prominent contradiction in the scale and structure of the older adult/adults floating population, with widowed and low-educated mobile older adult/adults requiring attention. (2) There is a lack of health knowledge, and the proportion of local reimbursement is low. Over 90% of migrant older adult/adults self-assessed their health (with a very few unable to care for themselves), far higher than the proportion of older adult/adults who are not sick (injured) or uncomfortable (actually healthy), which exceeds 70%. The health status of migrant older adult/adults deteriorates with age, and those who have never attended school and live alone have the worst health status. (3) Older adult/adults people with advanced age and low educational levels are at risk of health issues, while a better living environment can reduce the risk of illness in the older adult/adults floating population. Low family income, poor housing affordability, and the medical burden brought about by illness can easily lead to older adult/adults floating populations falling into the trap of older adult/adults poverty, and older adult/adults people from central regions and those who migrate along have difficulty adapting to city life, leading to poor self-assessed health. Meanwhile, community/enterprise health education helps to enhance the health protection awareness of the older adult/adults floating population. Finally, based on the governance concept of "mobility publicness," several public management and service optimization strategies for social support for the older adult/adults floating population in Shanghai are proposed.

A comparative study of health outcomes between elderly Migrant and non-migrant population in India: Exploring health disparities through propensity score matching

Migrants constitute a vulnerable segment of the population, particularly susceptible to various health challenges. Despite this, limited research has delved into the comparative health statuses of migrants and non-migrants in the rising elderly population. This study aims to bridge this gap by exploring health disparities between these two groups. Leveraging data from a nationally representative, large-scale Longitudinal Ageing Study in India (LASI) survey (n = 29002; 3103 Migrants and 25899 Non-migrants), this research focuses on four health indicators: self-rated health (SRH), depression, multimorbidity, and functional limitations. The study undertakes descriptive and bivariate analyses for migrant and non-migrant groups and employs propensity score matching techniques to fulfil its objectives. The findings reveal that for respective migrant and non-migrant populations, the prevalence of poor-SRH was 24.04 % and 16.29 %; depression was 12.32 % and 6.62 %; multimorbidity was 26.78 % and 15.71 %, and functional limitation was 28.35 % and 23.13 %. The study uncovers a 2.4 percentage point increase in poor self-rated health, a 1.0 percentage point rise in depression, and notably, a 4.2 and 1.0 percentage point elevation in multimorbidity and functional limitations among migrants relative to non-migrants. Evident from the outcomes is a stark health disparity, emphasising migrants' heightened vulnerability across multiple health dimensions. The implication of this research highlights the necessity for policy interventions aimed at eliminating health inequalities between migrant and non-migrant populations.

Moderating role of functional/ mobility limitations in the association between sleep problems and hypertension among middle-aged and older adults in India

Hypertension has become a global health concern and is recognized as an important modifiable risk factor for cardiovascular diseases (CVDs). There are very limited studies in India and worldwide focused on sleep problems, activities of daily living (ADL), instrumental ADL (IADL) and mobility limitations, and their discrete and combined effects on hypertension. Therefore, this study examined whether sleep problems are associated with hypertension, and whether the association is more pronounced among middle-aged and older adults with functional/mobility limitations. This study used data from the Longitudinal Ageing Study in India (LASI) wave 1, 2017-18, with a total sample of 59,951 adults aged 45 years and above. Log-binomial regression, and interaction terms were used to assess the relationship between sleep problems and hypertension, and the moderating effect of functional/mobility limitations. Respondents with sleep problems had a 29 % higher prevalence of hypertension [PR (prevalence ratio): 1.29; CI (confidence interval): 1.20-1.39]. Those with ADL and IADL limitations had 20 % [PR: 1.20; CI: 1.09-1.32] and 9 % [PR: 1.09; CI: 1.00-1.18] greater prevalence of hypertension. Interaction analysis revealed that individuals with ADL, IADL, and mobility limitations had 58 %, 52 %, and 45 % higher prevalence of hypertension, respectively, and was especially pronounced among women. Our findings highlight that improved sleep can reduce the prevalence of hypertension in middle-aged and older adults. Individuals with functional/mobility limitations may need additional care and support from their family members or the community, which could lower the prevalence of elevated blood pressure due to their sleep problems.

Decomposing the rural-urban differences in depression among multimorbid older patients in India: evidence from a cross-sectional study

BACKGROUND

In India, the prevalence of depression among older adults dealing with multiple health conditions varies between rural and urban areas due to disparities in healthcare access and cultural factors. The distinct patterns observed underscore the necessity for tailored research and interventions to address mental health inequalities among multimorbid older patients in diverse geographic contexts.

METHODS

This study used data from the Longitudinal Ageing Study in India (LASI) wave 1 (2017-18). A total of 7,608 adults aged ≥ 60 years who were diagnosed with two or more chronic conditions (such as hypertension, diabetes, cancer, chronic lung disease, chronic heart diseases, stroke, bone/joint disease, any neurological or psychiatric diseases, and high cholesterol) were included in this study. Descriptive statistics, bivariate analysis, logistic regression estimates, and Fairlie decomposition method were used to accomplish the study's objectives.

RESULTS

The prevalence of depression among older adults with multimorbidity was 9.48% higher in rural areas (38.33%) than in urban areas (28.85%).. Older adults with multimorbidity belonging to the scheduled caste group were 40% more likely to experience depression. Moreover, those with multimorbidity and any form of disability in activities of daily living (ADL) were 93% more likely to experience depression than those without disability, whereas those with multimorbidity and perceived good general health were 65% less likely to suffer from depression than those with poor self-perceived health. Additionally, decomposition analysis revealed that education (35.99%), caste status (10.30%), IADL disability (19.30%), and perceived discrimination (24.25%) were the primary factors contributing to the differences in depression prevalence among older adults with multimorbidity between rural and urban areas.

CONCLUSIONS

We found significant rural-urban differences in depression among older Indians with multimorbidity. The findings underscore the need for targeted interventions that address the unique challenges faced by older patients in rural areas, including lack of social capital, discrimination, and limited resources that enable access to healthcare services. Policymakers and healthcare professionals must collaboratively design and implement effective strategies to improve the mental health and overall well-being of rural older adults, particularly those with multiple comorbidities.

Rural-urban health differences among aging adults in India

Background

The aim of this study was to determine the rural-urban health differences among aging adults in India.

Methods

The national cross-sectional data of 67,489 individuals (≥45 years) in 2017-2018 from 35 states and union territories of India (excluding Sikkim) in 2017-2018 were analysed. Various sociodemographic data, well-being indicators, lifestyle factors and physical conditions were assessed by face-to-face interviews and physical measurement. Univariable and multivariable logistic regression was utilized to assess the predictors between residence status (rural dweller, urban migrant, and urban dweller) and various health indicator outcomes.

Results

Majority (70.4 %) of the participants lived in rural areas, 10.3 % were urban migrants and 19.3 % urban dwellers. In the multivariable logistic regression analysis, urban migrants and urban dwellers had a higher self-rated health status, cognitive functioning, physical inactivity, overweight or obesity and abdominal obesity than rural dwellers, while urban migrants and/or urban dwellers had lower functional disability, insomnia symptoms, current smokeless tobacco use, current smoking, heavy episodic drinking and underweight than rural dwellers. Furthermore, urban migrants and/or urban dwellers had higher odds of diabetes, hypertension, heart disease, cancer, high cholesterol than rural dwellers, while urban migrants and/or urban dwellers had lower odds of persistent headaches, major injury, recurrent fall, physical pain, periodontal disease, vision impairment, and gastrointestinal problems than rural dwellers.

Conclusion

Among 30 health indicators assessed, 16 had an urban migrant and/or urban dweller advantage, 8 had urban migrant and/or urban dweller penalty, and 6 did not differ between rural-urban groups. Public health promotion and health care should address differing health care needs of rural and urban middle-aged and older adults.

Association between home and community-based services utilization and self-rated health among Chinese older adults with chronic diseases: evidence from the 2018 China Health and Retirement Longitudinal Study

BACKGROUND

As global aging intensifies, older adults with chronic diseases are of increasing concern. Home and community-based services (HCBSs) have been proven to promote self-rated health (SRH) in older adults, but no research explored the associations between the use of overall HCBSs, three different types of HCBSs (health care, daily care, and social support services) and SRH among older adults with chronic diseases. Consequently, this study applies a national publicly available database to examine these associations among older adults with chronic diseases.

METHODS

8,623 older adults with chronic diseases (≥ 60 years old) were included in this study. SRH was evaluated applying a concise question with a 1 - 5 scale. HCBSs utilization was assessed through the question, "What kind of HCBSs were used in the community?". Univariate general linear regression models aimed to compare the mean values of SRH in terms of HCBSs utilization in each group. This study is a cross-sectional study design and the relationship between HCBSs utilization and SRH was assessed by multilevel linear regression.

RESULTS

The mean score for SRH among the respondents was 3.19, of whom 20.55% used one or more HCBSs, 19.47% utilized health care services, 2.44% utilized social support services, and only 0.55% utilized daily care services. The use of HCBSs was found to be linked to SRH among older adults with chronic diseases (β = 0.085, SE = 0.025, p < 0.001). SRH among older adults with chronic diseases was strongly linked to the use of health care and social support services (β = 0.068, SE = 0.025, p < 0.001; β = 0.239, SE = 0.063, p < 0.001, respectively). However, there was no significant association between the use of daily care services and SRH among older adults with chronic diseases.

CONCLUSION

This study revealed that HCBSs utilization was positively and significantly linked to SRH in Chinese older adults with chronic diseases. Furthermore, this study supposes the low utilization of social support and daily care services may be due to a mismatch between supply and demand. The government should offer the targeted HCBSs for older adults with chronic diseases according to their unique features to enhance their health status.

Decomposing differences in the chronic disease condition between rural and urban older adults in China: a cross-sectional analysis

Background

With the increasing in aging in China, there has been an increase in older adults suffering from chronic diseases. However, little is known about the differences in chronic disease conditions between rural and urban older adults. The objective of this study is to identify chronic disease conditions and investigate the factors that cause differences in chronic disease conditions between urban and rural older adults.

Methods

The data are from the fourth wave of the China Health and Retirement Longitudinal Study. The coarsened exact matching (CEM) method was used to reduce the biases for a comparative study. After the CEM method, this study included 5,927 participants aged 60 and above. Chronic disease condition was used as the indicator to measure the health of older adults. Specifically, Fairlie's decomposition analysis was carried out to discover the differences in chronic disease conditions between urban and rural older adults.

Results

The study showed that the proportion of those suffering from chronic diseases was significantly higher among urban older adults (51.26%) than rural older adults (46.56%). In those suffering from chronic diseases, there were significant differences in gender, education level, minorities, religiosities, duration of sleep, drinking alcohol, social activity, insurance, and socioeconomic status between rural and urban older adults, while in those not suffering from chronic diseases, there were significant differences in age, education level, marital status, drinking alcohol, social activity, insurance, region, and socioeconomic status between rural and urban older adults. For rural older adults, those who were widowers [Odds ratios (OR): 1.267], who drink alcohol (OR: 1.421), and having government medical insurance (OR: 4.869) had higher odds of having chronic diseases. However, those who were in high school and above (OR: 0.802), reporting a duration of sleep of 4-8 h (OR: 0.745) or above 8 h (OR: 0.649), having social activity (OR: 0.778), and having the most affluent socioeconomic status (OR: 0.778) had lower odds of having chronic diseases. As for urban older adults, those who were aged 65-74 years (OR: 1.246) and had government medical insurance (OR: 2.362) had higher odds of having chronic diseases. Fairlie's decomposition analysis indicated that 23.57% of the differences in chronic diseases conditions could be traced to duration of sleep, drinking alcohol, social activity, and region.

Conclusion

This study illustrated that the proportion of chronic diseases was higher among urban older adults than rural older adults. Considering duration of sleep, drinking alcohol, region, social activity, and region, the study demonstrated health differences between urban and rural older adults and provided evidence for policy-making to narrow the health gap between urban and rural areas.

Loneliness, Psychological Well-being, Depression, and Social Participation in the Older Persons: Rural and Urban Differences

INTRODUCTION

The purpose of this study is to compare the loneliness, psychological well- being, depression, and social participation of elderly people living in Turkish society between rural and urban areas. The sample group of the study, in which a correlational survey model was used, consisted of 610 elderly adults.

METHOD

The study population consists of two groups: the first group consists of individuals over 65 years of age living in the city (Istanbul) (n= 291), and the second group consists of individuals over 65 years of age living in rural areas (rural areas of Ordu) (n= 319). Socio-demographic Information Form, Loneliness in the Elderly Scale, Geriatric Depression Scale, Psychological Well-Being in the Elderly Scale, and Social Inclusion Scale were applied online. Statistical analyses of the study were conducted using SPSS 27.00, and the Independent Samples t-test and ANOVA test were used.

RESULTS

According to the findings of this study, statistically significant results were found in psychological well-being, social inclusion, social relations, loneliness and depression, and place of residence. It was observed that the social isolation and social acceptance levels of those living in urban areas were higher than those living in rural areas. Social, loneliness, and depression scores of those living in the village/town were found to be higher than those living in the city centre. Furthermore, the social relationship scores of those living in the village/town were found to be higher than those living in the city centre.

CONCLUSION

The increasing elderly population worldwide has become an issue that requires global measures. Place of residence is one of the factors thought to affect older people's health and well- being. It is thought that the study data will contribute to new policies that will ensure the protection and promotion of elderly health and those working in this field. In addition, the study, which provides information about Turkish culture, will also enable intercultural comparisons.

Gender-specific determinants of overweight and obesity among older adults in India: evidence from a cross-sectional survey, 2017-18

BACKGROUND

A major societal trend of the twenty-first century is the rapidly ageing population as a consequence of the decline in fertility and increase in life expectancy. Along with the rise in ageing population, the burden of obesity and related non-communicable diseases is also equally rising. In this study, we aimed to investigate the potential gender-specific determinants of overweight and obesity among older adults in India.

SUBJECTS AND METHODS

The present study used data from the Longitudinal Ageing Study in India (LASI) wave 1 (2017-18). A total sample of 25,952 older adults (≥ 60 years) was selected for the study. Descriptive statistics, bivariate chi-square test, and logistic regression estimation were applied to accomplish the study objectives. Body mass index (BMI) has been classified in this study according to the WHO criteria.

RESULTS

The prevalence of overweight was higher among women (18.15% in rural areas and 46.62% in urban areas) compared to men (12.9% in rural areas and 30.61% in urban areas). Similarly, obesity was higher among women than men who were residing in urban areas (17.07% vs. 5.37%), had secondary or above education (32.38% vs. 6.1%) belonged to richest strata (16.37% vs. 4.50%), or had mobility impairment (9.2% vs. 2.8%). Despite adjustment for several confounders, women were more likely to be overweight (OR: 2.18; CI: 1.86, 2.55) and obese (OR: 3.79; CI: 2.86, 5.03) than men. However, among both the elderly men and women, those who were highly educated were 2.29 times (OR: 2.29; CI: 1.80, 4.11) and 2.71 times (OR: 2.71; CI: 1.78, 4.11), respectively more likely to be overweight than their illiterate counterparts. Older adults living in urban areas were more likely to suffer from obesity compared to rural men (OR: 1.47; CI: 1.07, 2.02) and women (OR: 2.58; CI: 1.85, 3.60). Both men and women, who were highly educated were 2.64 times (OR: 2.64; CI: 1.71, 4.09) and 2.94 times (OR: 2.94; CI: 1.40, 6.20), respectively, more likely to be obese than their illiterate counterparts. Older men and women who were richest (OR: 1.60; CI: 1.19, 2.14 & OR: 2.12; CI: 1.63,2.76), or had mobility impairment (OR: 1.33; CI: 1.09,1.61 & OR: 1.72; CI: 1.42,2.08) were more likely to be overweight than their counterparts who were poorest or did not have any mobility limitation, respectively.

CONCLUSIONS

This study found increased vulnerability of overweight and obesity among older women than men irrespective of their socioeconomic, demographic, and health status. The present study suggests that introducing preventative measures such as campaigns to encourage physical activity, and community awareness may help reduce the high burden of overweight and obesity. Finally, the findings are important for better functioning of any public health programme and suitable intervention techniques to maintain a healthy body in order to lower the prevalence and risk factors of non-communicable diseases in later life.

Subjective social status and functional and mobility impairments among older adults: life satisfaction and depression as mediators and moderators

BACKGROUND

While functional and mobility impairments (FMIs) have garnered the attention of health researchers in low and middle-income countries (LMICs), including India, research has yet to explore whether and to what extent the perception of one's social status is associated with FMIs. We fill this gap in the literature by examining (1) the association between subjective social status (SSS) and FMIs among older adults in India and (2) whether this association between SSS and FMIs is mediated and moderated by life satisfaction and depression.

METHODS

Data come from the 2017-18 wave 1 of the Longitudinal Aging Study in India (LASI) with a sample of 31,464 older adults aged 60 years and above. FMIs were assessed using established scales on impairments in activities of daily living (ADLs), instrumental activities of daily living (IADLs), and mobility. SSS was assessed using the Macarthur scale. Life satisfaction was measured using responses to five statements gauging respondent's overall satisfaction with life. Depression was calculated using the shortened version of the Composite International Diagnostic Interview (CIDI-SF). Multivariable regression was employed to examine the association between variables, and the interaction terms and Karlson-Holm-Breen (KHB) method were used separately to test the mediation and moderation effects.

RESULTS

39.11% of the sample had a low SSS, 8.26% were depressed, and 32.07% reported low life satisfaction. A total of 8.74%, 10.91%, and 8.45% of the study population reported at least one impairment in ADL, IADL, and mobility, respectively. Older adults in the higher SSS group were less likely to have ADL impairment (beta: -0.017, CI: -0.030, -0.0032) and mobility impairment (beta: -0.044, CI: -0.076, -0.013). Depression moderated the association between SSS and mobility impairment (p-value: 0.025), and life satisfaction moderated the association between SSS and ADL impairments (p-value: 0.041) and SSS and IADL impairments (p-value: 0.037). Depression mediated 20.28%, 31.88%, and 18.39% of the associations of SSS with ADL, IADL, and mobility impairments, respectively. Similarly, life satisfaction mediated 23.24%, 52.69%, and 27.22% of the associations of SSS with ADL, IADL, and mobility impairments.

CONCLUSIONS

That SSS is associated with FMIs among older Indians, even after considering their objective socioeconomic status (SES), suggests that the use of SSS is relevant to the study of health inequalities in India. The finding that life satisfaction and depression mediate and moderate this association is crucial in pinpointing those older Indians at risk of the functional and mobility-related repercussions of lower SSS.

Differences in the influence of daily behavior on health among older adults in urban and rural areas: evidence from China

Background

As the population of older adult in China keeps growing, the degree of aging is becoming increasingly serious and the health of older adults is a growing concern. Comparing the personal characteristics and health levels of urban and rural older adults and determining the relationship between these factors are of great significance in maintaining their health. In addition, exploring how these relationships differ between urban and rural areas is important.

Method

This study conducted a literature review to examine the impact of various factors on the physical and mental health of older adults in urban and rural areas in China. Moreover, based on cross-sectional data from the 2017 Chinese General Social Survey (CGSS), urban-rural differences in the factors' degree of influence on the perceived health of older adults were studied using multiple logistic regression.

Results

Regular physical exercise had a powerful protective effect on urban older adults' physical and mental health, whereas regular participation in social activities had a positive impact on rural older adults' health. Low income, low educational level, low social trust, lack of a partner, and having more than one child negatively affected the physical health of rural older people. Low socioeconomic status had a negative impact on rural people's health both in mind and body. Overall, the rural adults' health status was found to be relatively low and deserves more attention.

Conclusion

This study demonstrated that older people's physical and mental health levels can be significantly affected by the frequency of daily activities and individual and family characteristics. Furthermore, urban-rural differences were observed. These findings could provide feasible suggestions for governments, communities, and older adults' family members to help alleviate health inequality.

Socio-demographic and behavioral correlates of excess weight and its health consequences among older adults in India: Evidence from a cross-sectional study, 2017-18

BACKGROUND

Rapid population aging is expected to become one of the major demographic transitions in the twenty-first century due to the continued decline in fertility and rise in life expectancy. Such a rise in the aged population is associated with increasing non-communicable diseases. India has suffered from obesity epidemic, with morbid obesity affecting 5% of the population and continuing an upward trend in other developing countries. This study estimates the prevalence of excess weight among older adults in India, and examines the socio-demographic and behavioral factors and its health consequences.

METHODS

The study used data from the Longitudinal Ageing Study in India (LASI) wave 1 (2017-18). A total sample of 25,952 older adults (≥ 60 years) was selected for the study. Descriptive statistics, bivariate Chi-Square test, and logistic regression models were applied to accomplish the study objectives. Body mass index (BMI) has been computed for the study according to the classification of the World Health Organization, and "excess weight" refers to a score of BMI ≥ 25.0 kg/m2.

RESULTS

Overall, 23% of older adults (≥ 60 years) were estimated with excess weight in India, which was higher among women irrespective of socioeconomic and health conditions. The higher levels of excess weight (than the national average of ≥22.7%) were observed among older adults in states like Haryana, Tamil Nadu, Telangana, Maharashtra, Gujarat, Manipur, Goa, Kerala, Karnataka, Himachal Pradesh, Punjab, Sikkim and some other states. After adjusting for selected covariates, the odds of excess weight were higher among females than males [OR: 2.21, 95% CI: 1.89, 2.60]. Similarly, the likelihood of excess weight was 2.18 times higher among older adults who were living in urban areas compared to their rural counterparts [OR: 2.18; 95% CI: 1.90, 2.49]. Higher level of education is significantly positively correlated with excess weight. Similarly, higher household wealth index was significantly positively correlated with excess weight [OR: 1.98, CI: 1.62, 2.41]. Having hypertension, diabetes and heart diseases were associated with excess weight among older adults. Regional variations were also observed in the prevalence of excess weight among older adults.

CONCLUSION

The findings suggest that introducing measures that help to reduce the risk of non-communicable diseases, and campaigns to encourage physical activity, and community awareness may help reduce the high burden of excess weight and obesity among older Indians. The findings are important for identifying the at-risk sub-populations and for the better functioning of any public health programme and suitable intervention techniques to lower the prevalence and risk factors for excess weight in later life.

Urban-rural health disparities in Brazil: Do sociodemographic attributes play a role?

The debate over urban-rural health disparities in Latin American countries is disputed, and this relationship may not be as straightforward as initially thought. In this study, we investigate whether individual-level self-rated health (SRH) varies across urban and rural populations in the country and how sociodemographic attributes are associated with such differences. We relied on data from the Brazilian National Health Survey (n = 78,806), a nationwide household-based survey conducted in 2019 that is representative of Brazil, geopolitical macro-regions, states, and 27 state capitals. Logistic regression models were used to test for differences in SRH between urban and rural inhabitants. The findings suggest that Brazilian adults living in rural areas are at a higher risk of perceiving their health as poor than their urban counterparts. The urban-rural health disparities are significant and influenced by sociodemographic attributes, highlighting the importance of developing public health interventions to improve health outcomes in these populations.

Association between natural hazards and postnatal care among the neonates in India: a step towards full coverage using geospatial approach

BACKGROUND

Postnatal care is crucial to prevent the child mortality. Despite the improvement in the PNC coverage for the neonates, it is still far away from the universal health coverage. Along with, some specific regions mostly are natural hazard prone areas of India show very under coverage of PNC for the neonates. Considering the substantial spatial variation of PNC coverage and natural hazard prevalence, present study aimed to examine spatial variation of PNC coverage and its association with natural hazard at the district level.

METHODS

The cross-sectional exploratory study utilized National Family Health Survey, 2019-21, which included 1,76,843 children using multistage stratified sampling method to examine postnatal care within 42 days for neonates born within five years prior to the survey. Additionally, the study utilized Vulnerability Atlas of India,2019 maps to categorize regions into hazardous (flood, earthquake, and landslide) and non-hazardous areas. Spatial univariate and bivariate analyses, logistic and geographically weighted regressions were conducted using ArcGIS Pro, GeoDa, and Stata 16.0 software to identify associations between PNC coverage, hazard exposure, and spatial variation.

RESULTS

The univariate spatial analysis showed some specific regions such as north, east, and north-east region of India had a high concentration of natural hazard and low access of PNC coverage. Bivariate analysis also showed that PNC coverage was low in flood (75.9%), earthquake (68.3%), and landslide (80.6%) effected areas. Compared to the national PNC coverage (81.1%), all these natural hazards effected areas showed low coverage. Further, logic regression showed that these hazard prone areas were less (OR:0.85 for flood, 0.77 for earthquake, and 0.77 for landslide) likely to get PNC coverage than their counterparts. LISA cluster maps significantly showed low PNC and high disaster concentration in these disaster-prone areas. Geographic weighted regression results also showed similar result.

CONCLUSIONS

The present study elucidates notable heterogeneity in the coverage of postnatal care (PNC) services, with lower concentrations observed in disaster-prone areas. In order to enhance the accessibility and quality of PNC services in these areas, targeted interventions such as the deployment of mobile health services and fortification of health systems are recommended.