The Health of India's Elderly Population: A Comparative Assessment Using Subjective and Objective Health Outcomes

The role of family support in the self-rated health of older adults in eastern Nepal: findings from a cross-sectional study

BACKGROUND

Nepal's low fertility rate and increasing life expectancy have resulted in a burgeoning older population. For millennia, filial piety shaped family cohesion and helped Nepali older adults achieve positive outcomes, but recently, it has been eroding. Furthermore, there are not enough institutional support options or alternatives to family-based care to deal with the biosocial needs of older adults. This study explored the association between family support and self-rated health among Nepali older adults.

METHODS

A community-based cross-sectional survey in eastern Nepal's two districts, Sunsari and Morang, interviewed 847 older adults (≥ 60 years). The final analytical sample was 844. Participants were asked whether they received assistance with various aspects of daily life and activities of daily living from their families. Multivariable logistic regression examined the association between family support and self-rated health.

RESULTS

Participants who received support with various aspects of daily life had 43% higher odds of good health, but after adjusting for control variables, the result only approached statistical significance (p = 0.087). Those who received family assistance with activities of daily living had nearly four times higher odds (OR: 3.93; 95% CI: 2.58 - 5.98) of reporting good health than participants who lacked this support.

CONCLUSIONS

Given the important role of family support in Nepali older adults' health, government programs and policies should create a conducive environment to foster family-based care until more comprehensive policies for older adults' care can be put into effect. The results of this study can also help shape the global aging environment by highlighting the need for family support in older care, particularly in low-income nations with declining traditional care systems and weak social security policies.

Associations between physical health and the alternative model of personality disorders: A cross-sectional age study

The Alternative Model of Personality Disorders (AMPD) is a relatively new dimensional model of personality disorders (PDs) that assesses two diagnostic constructs: personality functioning and pathological personality traits. Thus far, research on the AMPD among older adults has been limited, but the research that does exist suggests limited generalizability to the unique biopsychosocial context of later life. To further examine the applicability of the AMPD to older adults, the purpose of this study was to examine relationships between the AMPD's two constructs with perceived physical health status among younger and older adult samples. Older adults (n = 222) and younger adults (n = 215) completed the Short Form-36 (SF-36), Levels of Personality Functioning Scale-Self-Report (LPFS-SR), and Personality Inventory for DSM-5-Brief Form (PID-5-BF). Correlations and Fisher's z-tests revealed significantly stronger relationships between the SF-36 with the LPFS-SR and PID-5-BF domains for older adults than younger adults. Additionally, age group significantly moderated the relationships between personality functioning and pathological personality traits and health. The stronger relationships between health and the AMPD's constructs for older adults suggest meaningful overlap between negative health outcomes and PD pathology. Future research should further investigate specific mechanisms in which personality pathology negatively impacts health in older adults.

Gender differences in the association between perceived income sufficiency and self-rated health among older adults: A population-based study in India

This study explores whether gender differences in self-rated health can be attributed to socioeconomic status and self-perceived income sufficiency in particular. We used data from the Building a Knowledge Base on Population Ageing in India (BKPAI-2011) and carried out the descriptive and bivariate analysis along with a chi-square test to explore the significance of possible associations between explanatory and outcome variables in the study. Also, sex-stratified multiple logistic regression models were employed to fulfill the study objectives. The results show that a higher percentage of older women (58.4%) reported their health as fair/poor than older men (52%). Older women reported poor self-rated health than older men with similar self-perceived income sufficiency (OR: 2.04; p < .001 vs. OR: 1.56; p < .010). All the health indicators such as suffering from higher number of chronic conditions (AOR: 3.70; p < .001 vs. AOR: 2.73; p < .001) and disability (AOR: 3.79; p < .001 vs. AOR: 3.33; p < .001) increased odds of rating of poor health among older women than men, except having two plus difficulty in activities of daily living (ADL), which was positively associated with reporting poor health among men than women (OR: 4.03; p < .001 vs. OR: 2.36; p < .001). The study highlights the gender differences in self-rating of health associated with subjective income status and other socioeconomic and health-related variables that are important while framing social policies for the Indian graying population.

Exploring the role of financial empowerment in mitigating the gender differentials in subjective and objective health outcomes among the older population in India

BACKGROUND

Despite the progress in achieving gender equality to a certain extent, women are found to be more susceptible to health disadvantages compared to men in the older ages. However, research in the Indian context has mainly remained restricted to subjective health that heavily depends on the individual's perception, which may affect the validity of results. This study addresses this gap by complementing the investigation of the gender differentials in self-reported health outcomes (mobility and functional limitations) with that of objectively measured health status (hand-grip strength and static balance) among the older population of India. Besides, there is a dearth of literature that considers financial empowerment in explaining the gender differentials in health. Women's ability to participate in household decision-making, especially for important matters like major purchases, including property, indicates their empowerment status. Furthermore, the ability to extend financial support can be considered an important 'non-altruistic' driver for kins to care for older adults, indirectly affecting their health and well-being. Thus, the present paper explores the influence of financial empowerment on gender differentials in poor health outcomes.

METHODS

Using the Longitudinal Aging Study in India, Wave-1 (2017-18), six logistic regression models have been specified to capture the adjusted association between gender and poor health outcomes. The first three models successively control for the demographic and social support factors; socioeconomic factors and pre-existing health conditions; and financial empowerment indicators. The last three models investigate the interactions between gender and marital status, living arrangement and involvement in financial decisions, respectively.

RESULTS

The findings reveal that women tend to be more perceptive about their physical discomfort than men and reported a higher prevalence of poor subjective health. In terms of objectively measured health status, older men had a higher prevalence of low hand-grip strength but a lower prevalence of poor balance. Gender demonstrated a strong, adjusted association with poor health outcomes among older adults. However, the magnitude of gender difference either shrunk considerably or became statistically insignificant for all the poor health outcomes after controlling the effect of indicators of financial empowerment. Further, the interaction between gender and involvement in financial matters demonstrated a stronger effect for men in reversing poor subjective health.

CONCLUSION

The study reinforced the positive effect of financial empowerment in mitigating gender disparity in health among older adults.

Impact of state of economic dependence and employment status on the self-perceived health of Indian elderly people across expenditure quintiles of households

Self-perceived health, a subjective assessment of health status, is influenced by state of economic independence and employment status after controlling for other demographic, social and health-related factors, particularly for elderly people as they tend to face discrimination in intra-household resource allocation. Being economically independent and employed increase the likelihood of elderly people rating their health as good/excellent compared to others and employment status came out as even more impactful. This study provides new insights by observing that across the expenditure quintile groups of the households, the importance of these variables varies as the bias in intra-household resource allocation against elderly people is supposed to increase with declining economic resources of the households. Economic independence improves the likelihood of rating one's health as good/excellent in the lowest expenditure quintile much more compared to those in the uppermost expenditure quintile. For employed too, the positive influence of employment status on self-perceived health of elderly people has been strictly increasing as we move down the expenditure quintiles of households.

Self reported health status and its determinants among elderly widows in Puducherry, India

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A Cross-National Study of the Gender Gap in Health Among Older Adults in India and China: Similarities and Disparities

Background and Objectives

The present cross-sectional study examines gender differences in three major health measures among older adults in India and in China, and investigates whether these differences can be explained by major sociodemographic and health risk characteristics.

Research Design and Methods

The study included 7,150 individuals in India and 13,367 individuals in China aged 50-plus who participated in the WHO Study on Global AGEing and Adult Health in 2007-2010. Logistic regression models for self-reported health (SRH) and ordinary least square regression models for grip strength and cognitive function were used to investigate gender differences in health.

Results

A consistent female disadvantage was found in India and in China for all three health measures. Compared to their male counterparts, women in the Indian and the Chinese samples had, respectively, 38% (95% confidence interval [CI]: 1.22, 1.56) and 36% (95% CI: 1.25, 1.48) higher risk of reporting poor SRH, 9.56 kg (95% CI: 9.91, 9.22) and 11.95 kg (95% CI: 12.29, 11.62) lower grip strength, and 3.64 (95% CI: 3.96, 3.32) and 1.99 (95% CI: 2.28, 1.71) lower cognitive scores. The magnitude of the female disadvantage in poor SRH and in grip strength changed very little when adjustments were made for marital status, education, place of residence, smoking status, height, and number of chronic conditions; but these characteristics accounted for about 50% of the gender gap in cognitive function.

Discussion and Implications

In these study populations, major sociodemographic and health risk characteristics accounted for very small parts of the gender differences in health, except in cognition.

Is the single self-rated health item reliable in India? A construct validity study

Introduction

In high-income countries, the self-rated health (SRH) item is used in health surveys to capture the population’s general health because of its simplicity and satisfactory validity and reliability. Despite scepticism about its use in low-income and middle-income countries, India implemented the SRH item in many of its demographic and population health surveys, but evidence of its validity is lacking. The objective was to assess the construct validity of the SRH item in India.

Methods

Data for 4492 men and 4736 women from the Indian sample of the World Health Survey (2003) were used. Overall, 43 health status indicators were grouped into health dimensions (physical, mental and functional health, chronic diseases, health behaviours) and the SRH item was regressed on these indicators by using sex-stratified multivariable linear regressions, adjusted with demographic and socioeconomic variables.

Results

Respondents (participation rate 95.6%; mean age 38.9 years) rated their health as very good (21.8%), good (36.4%), moderate (26.6%), bad (13.2%) or very bad (2.0%). Among men, the adjusted explained SRH variance by health dimensions ranged between 18% and 41% (physical 33%, mental 32%, functional health 41%, chronic diseases 23%, health behaviours 18%). In multivariable models, the overall explained variance increased to 45%. The 43 health status indicators were associated with SRH and their effect sizes were in the expected direction. Among women, results were similar (overall explained variance 48%).

Conclusion

The SRH item has satisfactory construct validity and may be used to monitor health status in demographic and population health surveys of India.

The gap between self-reported and objective measures of disease status in India

Researchers interested in the effect of health on various life outcomes (such as employment, earnings and life satisfaction) often use self-reported health and disease status as an indicator of true, underlying health status. Self-reports appear to be reasonable measures of overall health. For example, self-assessed overall health has been found to be a reliable predictor of mortality. However, the validity of self-reports is questionable when investigating specific diseases such as diabetes and hypertension. A small and nascent body of research comparing self-reported status on certain diseases with the true status based on clinical diagnoses has found significant gaps. These validation exercises predominantly use data from high-income countries. In this paper, we use survey data from India to compare self-reports of disease prevalence to diagnostic tests conducted on the same individuals. We focus on hypertension and lung disease, two of the primary causes of death in India. We find that self-reported measures substantially understate the true disease burden for both conditions. The attenuation bias from using self-reports is over 80 percent for both diseases, and bigger than estimates from high-income countries. We test and reject the hypothesis that self-reports of the disease status are identical to the true disease status in expectation. We identify characteristics associated with false negative reporting (reporting not having the disease but testing positive for it) for both diseases. The large awareness gap between self-reports and true disease burden indicates multiple deficiencies in India’s public health policy. The survey data depicts limited access to medical facilities, high levels of health illiteracy, low rates of health insurance, and other barriers related to poverty and lack of equity in the delivery of health services. These factors prevent timely intervention for managing health and controlling disease, invariably leading to morbidity and often to premature death.

Volumetric bone mineral density (vBMD), bone structure, and structural geometry among rural South Indian, US Caucasian, and Afro-Caribbean older men

Peripheral quantitative computed tomography (pQCT) provides biomechanical estimates of bone strength. Rural South Indian men have reduced biomechanical indices of bone strength compared to US Caucasian and Afro-Caribbean men. This suggests an underlying higher risk of osteoporotic fractures and greater future fracture burden among the rural South Indian men.

INTRODUCTION

Geographical and racial comparisons of bone mineral density (BMD) have largely focused on DXA measures of areal BMD. In contrast, peripheral quantitative computed tomography (pQCT) measures volumetric BMD (vBMD), bone structural geometry and provides estimates of biomechanical strength. To further understand potential geographical and racial differences in skeletal health, we compared pQCT measures among US Caucasian, Afro-Caribbean, and rural South Indian men.

METHODS

We studied men aged ≥ 60 years enrolled in the Mobility and Independent Living among Elders Study (MILES) in rural south India (N = 245), Osteoporotic Fractures in Men Study (MrOS) in the US (N = 1148), and the Tobago Bone Health Study (N = 828).

RESULTS

The BMI (kg/m²) of rural South Indian men (21.6) was significantly lower compared to the US Caucasians (28) and Afro-Caribbean men (26.9). Adjusting for age, height, body weight, and grip strength; rural South Indian men compared to US Caucasians had significantly lower trabecular vBMD [- 1.3 to - 1.5 standard deviation (SD)], cortical thickness [- 0.8 to - 1.2 SD]; significantly higher endosteal circumference [0.5 to 0.8 SD]; but similar cortical vBMD. Afro-Caribbean men compared to US Caucasians had similar trabecular vBMD but significantly higher cortical vBMD [0.9 to 1.2 SD], SSIp [0.2 to 1.4 SD], and tibial endosteal circumference [1 SD], CONCLUSIONS: In comparison to US Caucasians, rural South Indian men have reduced bone strength (lower trabecular vBMD) and Afro-Caribbean men have greater bone strength (higher cortical vBMD). These results suggest an underlying higher risk of osteoporotic fractures and greater future fracture burden among rural South Indian men.

SOCIOECONOMIC INEQUALITIES IN SELF-REPORTED HEALTH AND PHYSICAL FUNCTIONING IN ARGENTINA: FINDINGS FROM THE NATIONAL SURVEY ON QUALITY OF LIFE OF OLDER ADULTS 2012 (ENCaViAM)

This study aimed to evaluate educational and income inequalities in self-reported health (SRH), and physical functioning (limitations in Activities of Daily Living (ADL)/Instrumental Activities of Daily Living (IADL)), among 60-year-old and older adults in Argentina. Using cross-sectional data from the Argentinian National Survey on Quality of Life of Older Adults 2012 (Encuesta Nacional sobre Calidad de Vida de Adultos Mayores, ENCaViAM), gender-specific socioeconomic inequalities in SRH and ADL and IADL limitations were studied in relation to educational level and household per capita income. The Relative Index of Inequality (RII) - an index of the relative size of socioeconomic inequalities in health - was used. Socioeconomic inequalities in the studied health indicators were found - except for limitations in ADL among women - favouring socially advantaged groups. The results remained largely significant after full adjustment, suggesting that educational and income inequalities, mainly in SRH and IADL, were robust and somehow independent of age, marital status, physical activity, the use of several medications, depression and the occurrence of falls. The findings add to the existing knowledge on the relative size of the socioeconomic inequalities in subjective health indicators among Argentinian older adults, which are to the detriment of lower socioeconomic groups. The results could be used to inform planning interventions aimed at decreasing socioeconomic inequalities in health, to the benefit of socially disadvantaged adults.

Socio-economic inequalities in health and health service use among older adults in India: results from the WHO Study on Global AGEing and adult health survey

OBJECTIVE

The objectives of this study were to measure socio-economic inequalities in self-reported health (SRH) and healthcare visits and to identify factors contributing to health inequalities among older people aged 50-plus years.

STUDY DESIGN

This study is based on a population-based, cross-sectional survey.

METHODS

We accessed data of 7150 older adults from the World Health Organization's Study on Global AGEing and adult health Indian survey. We used multivariate logistic regression to assess the correlates of poor SRH. We estimated the concentration index to measure socio-economic inequalities in SRH and healthcare visits. Regression-based decomposition analysis was employed to explore the correlates contributing to poor SRH inequality.

RESULTS

About 19% (95% CI: 18%, 20%) reported poor health (n = 1368) and these individuals were significantly less wealthy. In total, 5134 (71.8%) participants made at least one health service visit. Increasing age, female gender, low social caste, rural residence, multimorbidity, absence of pension support, and health insurance were significant correlates of poor SRH. The standardized concentration index of poor SRH -0.122 (95% CI: -0.102; -0.141) and healthcare visits 0.364 (95% CI: 0.324, 0.403) indicated pro-poor and pro-rich inequality, respectively. Economic status (62.3%), pension support (11.5%), health insurance coverage (11.5%), social caste (10.7%) and place of residence (4.1%) were important contributors to inequalities in poor health.

CONCLUSION

Socio-economic disparities in health and health care are major concerns in India. Achievement of health equity demand strategies beyond health policies, to include pro-poor, social welfare policies among older Indians.