Does self-rated health predict death in adults aged 50 years and above in India? Evidence from a rural population under health and demographic surveillance

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.

Self-rated physical health, health-risk behaviors, and disparities: A cross-sectional study of youth in the slums of Kampala, Uganda

Self-rated physical health (SRPH) has been extensively used to assess health status. In this study, we examine how youth living in the slums of Kampala perceive their physical health and the psychosocial correlates of poor health. Cross-sectional data from the 2014 Kampala Youth Survey (N = 1,134) of youth ages 12-18 years was used to conduct the analyses. Chi-square tests and logistic regression analyses were conducted to determine associations between SRPH, demographic and psychosocial characteristics. Overall, 72% of youth rated their health as 'excellent' or 'good.' Poor SRPH was associated with older age and lower education, but not with sex. Also, orphans (OR = 2.03; 95%CI:1.51-2.72), those who lived on the streets (OR=3.09; 95%CI:2.30-4.15), who did not have electricity (OR = 2.83;95%CI:2.12-3.78), who initiated alcohol use early (OR = 2.08; 95%CI:1.47-2.94), who frequently get drunk (OR = 5.67; 95%CI:2.69-11.96), who were HIV positive (OR = 2.18; 95%CI:1.47-3.23), who had been injured due to their drinking (OR = 2.09; 95%CI:1.44-3.03), who thought about hurting themselves (OR = 2.09; 95%CI:1.60-2.73), and those who often felt lonely (OR = 2.54; 95%CI:1.61-4.02) had higher odds of poor SRPH compared to their peers without these characteristics. Poor SRPH may serve as a marker for multiple health-risk behaviors and severe health disparities among youth in vulnerable and resource-limited settings.

Health selection on self-rated health and the healthy migrant effect: Baseline and 1-year results from the health of Philippine Emigrants Study

Studies of migration and health focus on a "healthy migrant effect" whereby migrants are healthier than individuals not migrating. Health selection remains the popular explanation of this phenomenon. However, studies are mixed on whether selection occurs and typically examine migrants post-departure. This study used a novel pre-migration dataset to identify which health and social domains differ between migrants and their non-migrant counterparts and their contribution to explaining variance in self-rated health by migrant status at pre-migration and 1-year later. Data were used from the baseline and 1-year follow-up of the Health of Philippine Emigrants Study (HoPES). We used multivariable ordinary least squares regression to examine differences in self-rated health between migrants to the U.S. and a comparable group of non-migrants at baseline (premigration) and one year later, accounting for seven domains: physical health, mental health, health behavior, demographics, socioeconomic factors and healthcare utilization, psychosocial factors, and social desirability. A migrant advantage was present for self-rated health at baseline and 1-year. Accounting for all domains, migrants reported better self-rated health compared to non-migrants both at baseline (β = 0.32; 95% CI = 0.22, 0.43) and at 1-year (β = 0.28; 95% CI = 0.10, 0.46). Migrant status, health behavior, and mental health accounted for most of the variance in self-rated health both at baseline and 1-year follow-up. This analysis provides evidence of migrant health selection and nuanced understanding to what is being captured by self-rated health in studies of migrant health that should be considered in future research.

Socioeconomic determinants of gender differences in self-reported health status among older population

Introduction: Self-reported health status is considered one of the highly significant indicators of general health and overall quality of life. Aim: to examine whether there are gender differences in self-reported health status among the older population depending on the socioeconomic determinants. Methods: The analysis was carried out based on the data collected from the fourth National Health Survey of the population of Serbia, which was designed as a cross-sectional study. The research was conducted in accordance with the methodological guidelines and research instruments of the European Health Interview Survey. Results: A statistically significant correlation was observed between gender and the self-reported health status of the respondents. Women were significantly more likely to report poor self-rated health (27.8%), whereas men reported better self-rated health (21.3%). The results of the multivariate logistic regression analysis showed that poor self-rated health status among women was more likely to be affected by age, educational level, and region, whereas age and economic status were significant factors associated with poor self-rated health status among men. Conclusion: Taking into consideration the fact that the advantages of increased life expectancy will achieved only if these extra years of life gained through increased longevity are spent in good health, the importance of conducting additional research on gender differences is more than evident, particularly in terms of providing meaningful insight into the development of action plans devised to deal with gender differences in health status, simultaneously promoting healthy and active aging for both men and women.

Subjective and objective health predicting mortality and institutionalization: an 18-year population-based follow-up study among community-dwelling Finnish older adults

BACKGROUND

Objective health measures, such as registered illnesses or frailty, predict mortality and institutionalization in older adults. Also, self-reported assessment of health by simple self-rated health (SRH) has been shown to predict mortality and institutionalization. The aim of this study was to assess the association of objective and subjective health with mortality and institutionalization in Finnish community-dwelling older adults.

METHODS

In this prospective study with 10- and 18-year follow-ups, objective health was measured by registered illnesses and subjective health was evaluated by simple SRH, self-reported walking ability (400 m) and self-reported satisfaction in life. The participants were categorized into four groups according to their objective and subjective health: 1. subjectively and objectively healthy, 2. subjectively healthy and objectively unhealthy, 3. subjectively unhealthy and objectively healthy and 4. subjectively and objectively unhealthy. Cox regression model was used in the analyses. Death was used as a competing factor in the institutionalization analyses.

RESULTS

The mean age of the participants (n = 1259) was 73.5 years (range 64.0-100.0). During the 10- and 18-year follow-ups, 466 (37%) and 877 (70%) died, respectively. In the institutionalization analyses (n = 1106), 162 (15%) and 328 (30%) participants were institutionalized during the 10- and 18-year follow-ups, respectively. In both follow-ups, being subjectively and objectively unhealthy, compared to being subjectively and objectively healthy, was significantly associated with a higher risk of institutionalization in unadjusted models and with death both in unadjusted and adjusted models.

CONCLUSIONS

The categorization of objective and subjective health into four health groups was good at predicting the risk of death during 10- and 18-year follow-ups, and seemed to also predict the risk of institutionalization in the unadjusted models during both follow-ups. Poor subjective health had an additive effect on poor objective health in predicting mortality and could therefore be used as part of an older individual's health evaluation when screening for future adverse outcomes.

Changing family structures and self-rated health of India's older population (1995-96 to 2014)

A common view within academia and Indian society is that older Indians are cared for by their families less than in the past. Children are a key source of support in later life and alternatives are limited, therefore declining fertility appears to corroborate this. However, the situation may be more complex. Having many children may be physiologically burdensome for women, sons and daughters have distinct care roles, social trends could affect support provision, and spouses also provide support. We assessed whether the changing structure of families has negatively affected health of the older population using three cross-sectional and nationally representative surveys of India's 60-plus population (1995-96, 2004 and 2014). We described changes in self-rated health and family structure (number of children, sons, and daughters, and marital status) and, using ordinal regression modelling, determined the association between family structure and self-rated health, stratified by survey year and gender. Our results indicate that family structure changes that occurred between 1995-96 and 2014 were largely associated with better health. Though family sizes declined, there were no health gains from having more than two children. In fact, having many children (particularly daughters) was associated with worse health for both men and women. There was some evidence that being sonless or childless was associated with worse health, but it remained rare to not have a son or child. Being currently married was associated with better health and became more common over the inter-survey period. Although our results suggest that demographic trends have not adversely affected health of the older population thus far, we propose that the largest changes in family structure are yet to come. The support available in coming years (and potential health impact) will rely on flexibility of the current system.

Impact of the Terms "Regular" or "Pasable" as Spanish Translation for "Fair" of the Self-Rated Health Question Among US Latinos: A Randomized Experiment

Objectives. To examine measurement comparability of a Spanish version of self-rated health (SRH) with pasable as an alternative to regular for the response category "fair" in the English version.Methods. We translated "fair" into 2 Spanish versions: regular and pasable. We implemented a split-half experiment in 3 surveys independently conducted from October 2015 to January 2016, from April to November 2016, and from August to November 2017. Within each survey, we randomly assigned Spanish-interviewed Latino respondents to 1 of the 2 SRH versions. The total sample included 3261 Latino and 738 non-Latino White adults in the United States.Results. Spanish-interviewed Latinos reported substantively more favorable health on SRH with pasable than with regular. When pasable instead of regular was used for SRH, we observed a larger difference between respondents reporting positive versus negative SRH on objective health measures, including the frequency of doctor's visits. Furthermore, when we accounted for correlates of health, Latino-White disparities were attenuated with pasable.Conclusions. We recommend using pasable instead of regular for SRH Spanish translations to improve measurement equivalence in cross-lingual and cross-cultural research.

Individualized prediction of depressive disorder in the elderly: A multitask deep learning approach

INTRODUCTION

Depressive disorder is one of the major public health problems among the elderly. An effective depression risk prediction model can provide insights on the disease progression and potentially inform timely targeted interventions. Therefore, research on predicting the onset of depressive disorder for elderly adults considering the sequential progression patterns is critically needed.

OBJECTIVE

This research aims to develop a state-of-the-art deep learning model for the individualized prediction of depressive disorder with a 22-year longitudinal survey data among elderly people in the United States.

METHODS

We obtain the 22-year longitudinal survey data from the University of Michigan Health and Retirement Study, which consists of information on 20,000 elderly people in the United States from 1992 to 2014. To capture temporal and high-order interactions among risk factors, the proposed deep learning model utilizes a recurrent neural network framework with a multitask structure. The C-statistic and the mean absolute error are used to evaluate the prediction accuracy of the proposed model and a set of baseline models.

RESULTS

The experiments with the 22-year longitudinal survey data indicate that (a) machine learning models can provide an accurate prediction of the onset of depressive disorder for elderly individuals; (b) the temporal patterns of risk factors are associated with the onset of depressive disorder; and (c) the proposed multitask deep learning model exhibits superior performance as compared with baseline models.

CONCLUSION

The results demonstrate the capability of deep learning-based prediction models in capturing temporal and high-order interactions among risk factors, which are usually ignored by traditional regression models. This research sheds light on the use of machine learning models to predict the onset of depressive disorder among elderly people. Practically, the proposed methods can be implemented as a decision support system to help clinicians make decisions and inform actionable intervention strategies for elderly people.

Community-Based Cognitive Social Capital and Self-Rated Health among Older Chinese Adults: The Moderating Effects of Education

This study investigated the moderating role of education on the association between community-based cognitive social capital and self-rated health among older adults in urban Chinese communities. Data were derived from a community survey conducted in Suzhou, China, in November 2015. A sample of 456 respondents aged 60 or older completed interviews. Multiple-group analysis from a structural equation modeling perspective was adopted to examine the proposed model. The measurement model of community-based cognitive social capital featured four trust and reciprocity indicators. Measurement invariance was established across high and low education groups. Education was found to have a moderating effect on the association between community-based cognitive social capital and self-rated health, but only in the high education group. Education should be considered an important factor in future social capital policy and intervention plans. Policy and intervention implications are discussed.

Comparison of Self-Rated Health among Characteristic Groups of Vegetable Greenhouse Farmers Based on Exposure to Pesticide Residuals: A Latent Profile Analysis

Objective

The current study was aimed at using a latent profile analysis (LPA) model to classify greenhouse farmers into a potential cluster according to their exposure to pesticide residuals. Further, the association between self-rated health (SRH) and the cluster exposed to pesticide residual was explored.

Methods

Four hundred sixty-four farmers from vegetable greenhouses were selected, their SRH information was gathered through questionnaires from the “Self-Rated Health Measurement Scale (SRHMS)” Version 1.0, and the corresponding pesticide residuals were detected in a laboratory. The linear mixed regression model was employed for association assessment.

Results

Two latent clusters were extracted as samples, and the results showed that a high amount of pesticide residual accounted for poor physical health, but did not show statistical significance. In addition, an inverse significant association was observed between psychosocial symptoms and negative emotion and pesticide residual level. Furthermore, a diversity of significant relationship was observed in social health and its corresponding dimensions with latent cluster.

Conclusions

LPA offers a holistic and parsimonious method to identify high-risk health clusters of greenhouse workers in various health aspects and allows for a personality-targeted intervention by a local health department.

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.

Variations in disability and quality of life with age and sex between eight lower income and middle-income countries: data from the INDEPTH WHO-SAGE collaboration

Background

Disability and quality of life are key outcomes for older people. Little is known about how these measures vary with age and gender across lower income and middle-income countries; such information is necessary to tailor health and social care policy to promote healthy ageing and minimise disability.

Methods

We analysed data from participants aged 50 years and over from health and demographic surveillance system sites of the International Network for the Demographic Evaluation of Populations and their Health Network in Ghana, Kenya, Tanzania, South Africa, Vietnam, India, Indonesia and Bangladesh, using an abbreviated version of the WHO Study on global AGEing survey instrument. We used the eight-item WHO Quality of Life (WHOQoL) tool to measure quality of life and theWHO Disability Assessment Schedule, version 2 (WHODAS-II) tool to measure disability. We collected selected health status measures via the survey instrument and collected demographic and socioeconomic data from linked surveillance site information. We performed regression analyses to quantify differences between countries in the relationship between age, gender and both quality of life and disability, and we used anchoring vignettes to account for differences in interpretation of disability severity.

Results

We included 43 935 individuals in the analysis. Mean age was 63.7 years (SD 9.7) and 24 434 (55.6%) were women. In unadjusted analyses across all countries, WHOQoL scores worsened by 0.13 points (95% CI 0.12 to 0.14) per year increase in age and WHODAS scores worsened by 0.60 points (95% CI 0.57 to 0.64). WHODAS-II and WHOQoL scores varied markedly between countries, as did the gradient of scores with increasing age. In regression analyses, differences were not fully explained by age, socioeconomic status, marital status, education or health factors. Differences in disability scores between countries were not explained by differences in anchoring vignette responses.

Conclusions

The relationship between age, sex and both disability and quality of life varies between countries. The findings may guide tailoring of interventions to individual country needs, although these associations require further study.

The contribution of three dimensions of allostatic load to racial/ethnic disparities in poor/fair self-rated health

Objective

This study evaluates whether different dimensions of physiological dysregulation, modeled individually rather than additively mediate racial/ethnic disparities in self-reported health.

Methods

Using data from the National Health and Nutrition Examination Survey (2005–2010) and the Karlson, Hold, and Breen (KHB) mediation model, this paper explores what operationalization of biomarker data most strongly mediate racial/ethnic disparities in poor/fair self-rated health (SRH) among adults in the United States, net of demographic, socioeconomic, behavioral, and medication controls.

Results

Non-Hispanic blacks and Hispanics had significantly higher odds of reporting poor/fair self-rated health in comparison to non-Hispanic whites. Operationalizations of allostatic load that disaggregate three major dimensions of physiological dysregulation mediate racial/ethnic disparities strongly between non-Hispanic blacks and non-Hispanic whites, but not between Hispanics and non-Hispanic whites. Disaggregating these dimensions explains racial/ethnic disparities in poor/fair SRH better than the continuous score. Analyses on sex-specific disparities indicate differences in how individual dimensions of allostatic load contribute to racial/ethnic disparities in poor/fair SRH differently. All individual dimensions are strong determinants of poor/fair SRH for males. In contrast, for females, the only dimension that is significantly associated with poor/fair SRH is inflammation. For the analytic sample, additive biomarker scores fit the data as well or better than other approaches, suggesting that this approach is most appropriate for explaining individual differences. However, in sex-specific analyses, the interactive approach models fit the data best for men and women.

Conclusions

Future researchers seeking to explain racial/ethnic disparities in full or sex-stratified samples should consider disaggregating allostatic load by dimension.

•

Non-Hispanic blacks and Hispanics have higher rates of poor/fair self-rated health and levels of allostatic load

•

Allostatic load mediates the race/ethnicity-self rated health relationship.

•

Overall, dividing allostatic load into three dimensions better explains the white-black gap

•

In sex-specific models interactive approaches better explain self-rated health

Impact of informal caregiving on older adults' physical and mental health in low-income and middle-income countries: a cross-sectional, secondary analysis based on the WHO's Study on global AGEing and adult health (SAGE)

OBJECTIVES

A high proportion of care stemming from chronic disease or disability in low-income and middle-income countries is provided by informal caregivers. The goal of this study was to determine the level of burden experienced by these caregivers, explore associated factors and assess whether caregivers' and non-caregivers' health differed.

DESIGN AND SETTING

This cross-sectional study was a secondary analysis of data on caregivers' burden, health and health risk factors in Ghana, India and the Russian Federation collected as part of the WHO's Study on global AGEing and adult health (SAGE) Wave 1.

PARTICIPANTS

Caregivers in Ghana (n=143), India (n=490) and Russia (n=270) completed the measures.

OUTCOME MEASURES

Factors associated (ie, demographics and caregiving profile variables) with burden were explored among caregivers. Then, quality of life (QOL), perceived stress, depression, self-rated health (SRH) and health risk factors were compared between caregivers and matched non-caregivers (1:2).

RESULTS

The largest caregiving subgroups were spouses and adult children. Caregivers mostly cared for one person and provided financial, social/emotional and/or physical support, but received little support themselves. Burden level ranged from 17.37 to 20.03. Variables associated with burden were mostly country-specific; however, some commonality for wealth, type of care and caregiving duration was noted. Caregivers with a moderate or high level of burden reported lower QOL and higher perceived stress than those experiencing low burden. Caregivers reported lower QOL and SRH than non-caregivers.

CONCLUSION

Given the lack of support received and consequences of the burden endured by caregivers, policy and programme initiatives are needed to ensure that caregivers in low- and middle-income countries can fulfil their role without compromising their own health.

Self-rated health and its association with mortality in older adults in China, India and Latin America-a 10/66 Dementia Research Group study

Background

empirical evidence from high-income countries suggests that self-rated health (SRH) is useful as a brief and simple outcome measure in public health research. However, in many low- and middle-income countries (LMIC) there is a lack of evaluation and the cross-cultural validity of SRH remains largely untested. This study aims to explore the prevalence of SRH and its association with mortality in older adults in LMIC in order to cross-culturally validate the construct of SRH.

Methods

population-based cohort studies including 16,940 persons aged ≥65 years in China, India, Cuba, Dominican Republic, Peru, Venezuela, Mexico and Puerto Rico in 2003. SRH was assessed by asking 'how do you rate your overall health in the past 30 days' with responses ranging from excellent to poor. Covariates included socio-demographic characteristics, use of health services and health factors. Mortality was ascertained through a screening of all respondents until 2007.

Results

the prevalence of good SRH was higher in urban compared to rural sites, except in China. Men reported higher SRH than women, and depression had the largest negative impact on SRH in all sites. Without adjustment, those with poor SRH showed a 142% increase risk of dying within 4 years compared to those with moderate SRH. After adjusting for all covariates, those with poor SRH still showed a 43% increased risk.

Conclusion

our findings support the use of SRH as a simple measure in survey settings to identify vulnerable groups and evaluate health interventions in resource-scares settings.

World Health Organization disability assessment schedule 2.0: An international systematic review

PURPOSE

This systematic review examines research and practical applications of the World Health Organization Disability Assessment Schedule (WHODAS 2.0) as a basis for establishing specific criteria for evaluating relevant international scientific literature. The aims were to establish the extent of international dissemination and use of WHODAS 2.0 and analyze psychometric research on its various translations and adaptations. In particular, we wanted to highlight which psychometric features have been investigated, focusing on the factor structure, reliability, and validity of this instrument.

METHOD

Following Preferred Reporting Items for Systematic reviews and Meta-Analyses (PRISMA) methodology, we conducted a search for publications focused on "whodas" using the ProQuest, PubMed, and Google Scholar electronic databases.

RESULTS

We identified 810 studies from 94 countries published between 1999 and 2015. WHODAS 2.0 has been translated into 47 languages and dialects and used in 27 areas of research (40% in psychiatry).

CONCLUSIONS

The growing number of studies indicates increasing interest in the WHODAS 2.0 for assessing individual functioning and disability in different settings and individual health conditions. The WHODAS 2.0 shows strong correlations with several other measures of activity limitations; probably due to the fact that it shares the same disability latent variable with them. Implications for Rehabilitation WHODAS 2.0 seems to be a valid, reliable self-report instrument for the assessment of disability. The increasing interest in use of the WHODAS 2.0 extends to rehabilitation and life sciences rather than being limited to psychiatry. WHODAS 2.0 is suitable for assessing health status and disability in a variety of settings and populations. A critical issue for rehabilitation is that a single "minimal clinically important .difference" score for the WHODAS 2.0 has not yet been established.

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.

Determinants of poor self-rated health among adults in urban Mozambique

Background

Self-rated health is a measure expressing the general condition of health of individuals. Self-rated health studies are common in developed countries and in some developing regions. Despite increasing proportion of adult and older population in sub-Saharan Africa and poor population health indicators, there is a dearth of studies on self-rated health in the region. This study examines factors associated with poor self-rated health among adult individuals in Maputo metropolitan area in Mozambique.

Methods

Data for this study come from a survey of 1768 individuals aged 18 years or more carried out in Maputo metropolitan area, Mozambique, in 2015. Employing multiple logistic regression, the study used a subsample of 677 female and male respondents aged 40 years or more to estimate the determinants of poor self-rated health.

Results

About 54 % of respondents aged 40 years or more believed that their health status was poor. Female respondents [Odds Ratios (OR) = 3.43, p <0.01], single (OR = 4.71, p < 0.05), widow (OR = 1.81, p < 0.05), separated or divorced (OR = 2.08, p < 0.05) and those believing that hypertension or heart problem was a major community health problem (OR = 1.56, p < 0.05) displayed higher odds of reporting poor health than their peers, net of other factors. Furthermore, individuals aged 40–49 years (OR = 0.45, p < 0.01), or 50–59 years (OR = 0.59, p < 0.05), those whose work involves intensive physical activity (OR = 0.60, p < 0.05) and those from households treating drinking water (OR = 0.49, p < 0.01) showed lower odds of reporting poor health, adjusting for other factors.

Conclusion

Overall, the results point to the importance of age, gender, marital status, socioeconomic circumstances, individuals’ health behaviors and perceived community health problems as key determinants of poor self-rated health among adults in Maputo metropolitan area. Given the growing number of adult and older people in sub-Saharan Africa, the rising importance of non-communicable diseases and the scarcity of studies on determinants of poor self-rated health among adults in the region, our findings may have implications for a better understanding of the drivers of poor health among adults in urban sub-Saharan Africa

Health and ageing in Nairobi's informal settlements-evidence from the International Network for the Demographic Evaluation of Populations and Their Health (INDEPTH): a cross sectional study

BACKGROUND

Much of the focus on population ageing has been in high-income counties. Relatively less attention is given to the world's poorest region, Sub-Saharan Africa (SSA) where children and adolescents still comprise a high proportion of the population. Yet the number of adults aged 60-plus in SSA is already twice that in northern Europe. In addition, SSA is experiencing massive rural to urban migration with consequent expansion of informal urban settlements, or slums, whose health problems are usually unrecognised and not addressed. This study aims to improve understanding of functional health and well-being in older adult slum-dwellers in Nairobi (Kenya).

METHODS

The study sample comprised men and women, aged 50 years and over, living in Korogocho and Viwandani, Nairobi, Kenya (n = 1,878). Data from the International Network for the Demographic Evaluation of Populations and Their Health (INDEPTH) and the WHO Study on global AGEing and adult health (SAGE Wave 1) were analysed. The prevalence of poor self-reported quality of life (QoL) and difficulties in domain-specific function is estimated by age and sex. Logistic regression investigates associations between difficulties in the domains of function and poor QoL, adjusting for age, sex and socio-demographic factors. Statistical significance is set at P<0.05.

RESULTS

Women reported poorer QoL and greater functional difficulties than men in all domains except self-care. In the multivariable logistic regression the odds of poor QoL among respondents with problems or difficulties in relation to affect (OR = 7.0; 95%CI = 3.0-16.0), pain/discomfort (OR = 3.6; 95%CI = 2.3-5.8), cognition (OR = 1.8; 95 %CI = 1.2-2.9) and mobility (OR = 1.8; 95%CI = 1.1-2.8) were statistically significant.

CONCLUSIONS

The findings underscore differences in the domains of functional health that encapsulate women and men's capacities to perform regular activities and the impact of poor functioning on QoL. Investing in the health and QoL of older people in SSA will be crucial in helping the region to realise key development goals and in opening opportunities for improved health outcomes and sustainable economic development.

Contribution of primary care to health: an individual level analysis from Tibet, China

Introduction

There have been significant improvements in health outcomes in Tibet, health disparities between Tibet and the rest of China has been greatly reduced. This paper tests whether there was a positive association between good primary care and better health outcomes in Tibet.

Method

A validated Tibetan version of the Primary Care Assessment Tool (PCAT-T) was used to collect data on 1386 patients aged over 18 years old accessing primary care. Self-rated health (SRH) was employed to measure health outcomes. A multiple binary logistic regression model was used to explore the association between primary care quality and self-rated health status after controlling for socio-demographic and lifestyle variables.

Results

This study found that primary care quality had a significant positive association with self-rated health status. Among the nine domains of PCAT-T, family centeredness domain had the highest Odds Ratio (OR = 1.013) with SRH. Patients located in rural area, with higher education levels, without depression, and less frequent drinking were more likely to self-rate as “good health” compared with the reference group.

Conclusions

In Tibet, higher quality primary care was associated with better self-rated health status. Primary care should be much strengthened in future health system reform in Tibet.

Gender Differentials in Self-Rated Health and Self-Reported Disability among Adults in India

Background

The extant literature on gender differentials in health in developed countries suggests that women outlive men at all ages, but women report poorer health than men. It is well established that Indian women live longer than men, but few studies have been conducted to understand the gender dimension in self-rated health and self-reported disability. The present study investigates gender differentials in self-rated health (SRH) and self-reported disability (SRD) among adults in India, using a nationally representative data.

Methods

Using data on 10,736 respondents aged 18 and older in the 2007 WHO Study on Global Ageing and Adult Health in India, prevalence estimates of SRH are calculated separately for men and women by socio-economic and demographic characteristics. The association of SRH with gender is tested using a multinomial logistic regression method. SRD is assessed using 20 activities of daily living (ADL). Further, gender differences in total life expectancy (TLE), disability life expectancy (DLE) and the proportion of life spent with a disability at various adult ages are measured.

Results

The relative risk of reporting poor health by women was significantly higher than men (relative risk ratio: 1.660; 95% confidence Interval (CI): 1.430–1.927) after adjusting for socio-economic and demographic characteristics. Women reported higher prevalence of severe and extreme disability than men in 14 measures out of a total20 ADL measures. Women aged less than 60 years reported two times more than men in SRD ≥ 5 ADLs. Finally, both DLE and proportion of life spent with a disability were substantially higher for women irrespective of their ages.

Conclusion

Indian women live longer but report poorer health than men. A substantial gender differential is found in self-reported disability. This makes for an urgent call to health researchers and policy makers for gender-sensitive programs.

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

This study examined relationships between and predictors of objective and subjective health measures among 766 individuals aged ≥ 45 years in India using the 2010 pilot wave of the Longitudinal Aging Study in India (LASI). Correlations between and gender differences in objective [grip strength, lung function] and subjective [self-rated health (SRH), dependence in activities of daily living (dADL)] health measures were examined. Multivariate logistic regression analyses, accounting for sample design, were conducted to identify predictors of poor health. Fewer individuals were classified as at risk according to subjective (SRH, 9 %; dADL, 12 %) than objective (lung function, 57 %; grip strength, 77 % women, 87 % men) indicators. Poor SRH was only weakly correlated with dADL (r = 0.103, p ≤ 0.05) and grip strength (r = −0.138, p ≤ 0.001). From this study we conclude that older Indians tend to report more positive perception of health than the objective measures of health indicates, and that subjective and objective health indicators capture different aspects of health and only weakly correlated.

Adult non-communicable disease mortality in Africa and Asia: evidence from INDEPTH Health and Demographic Surveillance System sites

Background

Mortality from non-communicable diseases (NCDs) is a major global issue, as other categories of mortality have diminished and life expectancy has increased. The World Health Organization's Member States have called for a 25% reduction in premature NCD mortality by 2025, which can only be achieved by substantial reductions in risk factors and improvements in the management of chronic conditions. A high burden of NCD mortality among much older people, who have survived other hazards, is inevitable. The INDEPTH Network collects detailed individual data within defined Health and Demographic Surveillance sites. By registering deaths and carrying out verbal autopsies to determine cause of death across many such sites, using standardised methods, the Network seeks to generate population-based mortality statistics that are not otherwise available.

Objective

To describe patterns of adult NCD mortality from INDEPTH Network sites across Africa and Asia, according to the WHO 2012 verbal autopsy (VA) cause categories, with separate consideration of premature (15–64 years) and older (65+ years) NCD mortality.

Design

All adult deaths at INDEPTH sites are routinely registered and followed up with VA interviews. For this study, VA archives were transformed into the WHO 2012 VA standard format and processed using the InterVA-4 model to assign cause of death. Routine surveillance data also provide person-time denominators for mortality rates.

Results

A total of 80,726 adult (over 15 years) deaths were documented over 7,423,497 person-years of observation. NCDs were attributed as the cause for 35.6% of these deaths. Slightly less than half of adult NCD deaths occurred in the 15–64 age group. Detailed results are presented by age and sex for leading causes of NCD mortality. Per-site rates of NCD mortality were significantly correlated with rates of HIV/AIDS-related mortality.

Conclusions

These findings present important evidence on the distribution of NCD mortality across a wide range of African and Asian settings. This comes against a background of global concern about the burden of NCD mortality, especially among adults aged under 70, and provides an important baseline for future work.

Mortality from external causes in Africa and Asia: evidence from INDEPTH Health and Demographic Surveillance System Sites

BACKGROUND

Mortality from external causes, of all kinds, is an important component of overall mortality on a global basis. However, these deaths, like others in Africa and Asia, are often not counted or documented on an individual basis. Overviews of the state of external cause mortality in Africa and Asia are therefore based on uncertain information. The INDEPTH Network maintains longitudinal surveillance, including cause of death, at population sites across Africa and Asia, which offers important opportunities to document external cause mortality at the population level across a range of settings.

OBJECTIVE

To describe patterns of mortality from external causes at INDEPTH Network sites across Africa and Asia, according to the WHO 2012 verbal autopsy (VA) cause categories.

DESIGN

All deaths at INDEPTH sites are routinely registered and followed up with VA interviews. For this study, VA archives were transformed into the WHO 2012 VA standard format and processed using the InterVA-4 model to assign cause of death. Routine surveillance data also provide person-time denominators for mortality rates.

RESULTS

A total of 5,884 deaths due to external causes were documented over 11,828,253 person-years. Approximately one-quarter of those deaths were to children younger than 15 years. Causes of death were dominated by childhood drowning in Bangladesh, and by transport-related deaths and intentional injuries elsewhere. Detailed mortality rates are presented by cause of death, age group, and sex.

CONCLUSIONS

The patterns of external cause mortality found here generally corresponded with expectations and other sources of information, but they fill some important gaps in population-based mortality data. They provide an important source of information to inform potentially preventive intervention designs.

Malaria mortality in Africa and Asia: evidence from INDEPTH health and demographic surveillance system sites

Background

Malaria continues to be a major cause of infectious disease mortality in tropical regions. However, deaths from malaria are most often not individually documented, and as a result overall understanding of malaria epidemiology is inadequate. INDEPTH Network members maintain population surveillance in Health and Demographic Surveillance System sites across Africa and Asia, in which individual deaths are followed up with verbal autopsies.

Objective

To present patterns of malaria mortality determined by verbal autopsy from INDEPTH sites across Africa and Asia, comparing these findings with other relevant information on malaria in the same regions.

Design

From a database covering 111,910 deaths over 12,204,043 person-years in 22 sites, in which verbal autopsy data were handled according to the WHO 2012 standard and processed using the InterVA-4 model, over 6,000 deaths were attributed to malaria. The overall period covered was 1992–2012, but two-thirds of the observations related to 2006–2012. These deaths were analysed by site, time period, age group and sex to investigate epidemiological differences in malaria mortality.

Results

Rates of malaria mortality varied by 1:10,000 across the sites, with generally low rates in Asia (one site recording no malaria deaths over 0.5 million person-years) and some of the highest rates in West Africa (Nouna, Burkina Faso: 2.47 per 1,000 person-years). Childhood malaria mortality rates were strongly correlated with Malaria Atlas Project estimates of Plasmodium falciparum parasite rates for the same locations. Adult malaria mortality rates, while lower than corresponding childhood rates, were strongly correlated with childhood rates at the site level.

Conclusions

The wide variations observed in malaria mortality, which were nevertheless consistent with various other estimates, suggest that population-based registration of deaths using verbal autopsy is a useful approach to understanding the details of malaria epidemiology.

HIV/AIDS-related mortality in Africa and Asia: evidence from INDEPTH health and demographic surveillance system sites

BACKGROUND

As the HIV/AIDS pandemic has evolved over recent decades, Africa has been the most affected region, even though a large proportion of HIV/AIDS deaths have not been documented at the individual level. Systematic application of verbal autopsy (VA) methods in defined populations provides an opportunity to assess the mortality burden of the pandemic from individual data.

OBJECTIVE

To present standardised comparisons of HIV/AIDS-related mortality at sites across Africa and Asia, including closely related causes of death such as pulmonary tuberculosis (PTB) and pneumonia.

DESIGN

Deaths related to HIV/AIDS were extracted from individual demographic and VA data from 22 INDEPTH sites across Africa and Asia. VA data were standardised to WHO 2012 standard causes of death assigned using the InterVA-4 model. Between-site comparisons of mortality rates were standardised using the INDEPTH 2013 standard population.

RESULTS

The dataset covered a total of 10,773 deaths attributed to HIV/AIDS, observed over 12,204,043 person-years. HIV/AIDS-related mortality fractions and mortality rates varied widely across Africa and Asia, with highest burdens in eastern and southern Africa, and lowest burdens in Asia. There was evidence of rapidly declining rates at the sites with the heaviest burdens. HIV/AIDS mortality was also strongly related to PTB mortality. On a country basis, there were strong similarities between HIV/AIDS mortality rates at INDEPTH sites and those derived from modelled estimates.

CONCLUSIONS

Measuring HIV/AIDS-related mortality continues to be a challenging issue, all the more so as anti-retroviral treatment programmes alleviate mortality risks. The congruence between these results and other estimates adds plausibility to both approaches. These data, covering some of the highest mortality observed during the pandemic, will be an important baseline for understanding the future decline of HIV/AIDS.

Cause-specific mortality in Africa and Asia: evidence from INDEPTH health and demographic surveillance system sites

BACKGROUND

Because most deaths in Africa and Asia are not well documented, estimates of mortality are often made using scanty data. The INDEPTH Network works to alleviate this problem by collating detailed individual data from defined Health and Demographic Surveillance sites. By registering all deaths over time and carrying out verbal autopsies to determine cause of death across many such sites, using standardised methods, the Network seeks to generate population-based mortality statistics that are not otherwise available.

OBJECTIVE

To build a large standardised mortality database from African and Asian sites, detailing the relevant methods, and use it to describe cause-specific mortality patterns.

DESIGN

Individual demographic and verbal autopsy (VA) data from 22 INDEPTH sites were collated into a standardised database. The INDEPTH 2013 population was used for standardisation. The WHO 2012 VA standard and the InterVA-4 model were used for assigning cause of death.

RESULTS

A total of 111,910 deaths occurring over 12,204,043 person-years (accumulated between 1992 and 2012) were registered across the 22 sites, and for 98,429 of these deaths (88.0%) verbal autopsies were successfully completed. There was considerable variation in all-cause mortality between sites, with most of the differences being accounted for by variations in infectious causes as a proportion of all deaths.

CONCLUSIONS

This dataset documents individual deaths across Africa and Asia in a standardised way, and on an unprecedented scale. While INDEPTH sites are not constructed to constitute a representative sample, and VA may not be the ideal method of determining cause of death, nevertheless these findings represent detailed mortality patterns for parts of the world that are severely under-served in terms of measuring mortality. Further papers explore details of mortality patterns among children and specifically for NCDs, external causes, pregnancy-related mortality, malaria, and HIV/AIDS. Comparisons will also be made where possible with other findings on mortality in the same regions. Findings presented here and in accompanying papers support the need for continued work towards much wider implementation of universal civil registration of deaths by cause on a worldwide basis.

Social conditions and disability related to the mortality of older people in rural South Africa

BACKGROUND

South Africa is experiencing a health and social transition including an ageing population and an HIV epidemic. We report mortality experience of an older rural South African population.

METHODS

Individual survey data and longer-term demographic data were used to describe factors associated with mortality. Individuals aged 50 years and over (n¼4085) answered a health and quality of life questionnaire in 2006 and were followed for 3 years thereafter. Additional vital events and socio-demographic data were extracted from the Agincourt Health and Demographic Surveillance System from 1993 to 2010, to provide longer-term trends in mortality. Cox regression analysis was used to determine factors related to survival.

RESULTS

In 10 967 person-years of follow-up between August 2006 and August 2009,377 deaths occurred. Women had lower mortality {hazard ratio [HR] 0.35 [95% confidence interval (CI) 0.28–0.45]}. Higher mortality was associated with being single[HR 1.48 (95% CI 1.16–1.88)], having lower household assets score [HR 1.79 (95%CI 1.28–2.51)], reporting greater disability [HR 2.40 (95% CI 1.68–3.42)] and poorer quality of life [HR 1.59 (95% CI 1.09–2.31)]. There was higher mortality in those aged under 69 as compared with those 70 to 79 years old. Census data and cause specific regression models confirmed that this was due to deaths from HIV/TB in the younger age group.

CONCLUSIONS

Mortality due to HIV/TB is increasing in men, and to some extent women,aged over 50. Policy makers and practitioners should consider the needs of this growing and often overlooked group.

Self-reported health and subsequent mortality: an analysis of 767 deaths from a large Thai cohort study

Background

Few studies have examined the link between self-reported health (SRH) and subsequent mortality in developing countries, and very few considered mortality effects of changes in SRH. We examined the relationship between SRH and subsequent all cause or cause-specific mortality in Thailand. We also noted if mortality varied after people changed their SRH.

Methods

We used longitudinal data including SRH from a nationwide Thai Cohort Study (baseline 2005 - follow-up 2009) and linked to official death records (2005–2012). Cox regression examined the association between SRH in 2005 and subsequent all-cause mortality or cause-specific mortality, with results given as confounder-adjusted hazard ratios (HR). We further assessed association between changes in SRH during 2005–2009 and mortality from 2009 to 2012.

Results

Poor SRH at baseline independently relates strongly with subsequent cardiovascular disease (CVD) mortality (HR = 2.8, CI: 1.3-5.9) and “other” causes of death (HR = 1.9, CI: 1.1-3.3) but moderately with cancer mortality (HR = 1.4, CI: 0.7-3.0). SRH did not exhibit a relationship with injury mortality (HR = 1.0, CI: 0.5-2.1). Worsening SRH from 2005 to 2009 associated with increased mortality in 2009–2012 for females but not for males.

Conclusions

In Thailand, SRH is a good predictor of population mortality due to internal causes (e.g. CVD). SRH is holistic, simple to measure and low cost; when repeated it measures dynamic health status. In many developing countries chronic diseases are emerging and morbidity information is limited. SRH could help monitor such transitions in burdens and trends of population health.

Edentulism and other variables associated with self-reported health status in Mexican adults

BACKGROUND

To determine if edentulism, controlling for other known factors, is associated with subjective self-report health status (SRH) in Mexican adults.

MATERIAL AND METHODS

We examined the SRH of 13 966 individuals 35 years and older, using data from the National Survey of Performance Assessment, a cross-sectional study that is part of the technical collaboration between the Ministry of Health of Mexico and the World Health Organization, which used the survey instrument and sampling strategies developed by WHO for the World Health Survey. Sociodemographic, socioeconomic, medical, and behavioral variables were collected using questionnaires. Self-reported health was our dependent variable. Data on edentulism were available from 20 of the 32 Mexican states. A polynomial logistic regression model adjusted for complex sampling was generated.

RESULTS

In the SRH, 58.2% reported their health status as very good/good, 33.8% said they had a moderate health status, and 8.0% reported that their health was bad/very bad. The association between edentulism and SRH was modified by age and was significant only for bad/very bad SRH. Higher odds of reporting moderate health or poor/very poor health were found in women, people with lower socio-economic status and with physical disabilities, those who were not physically active, or those who were underweight or obese, those who had any chronic disease, and those who used alcohol.

CONCLUSIONS

The association of edentulism with a self-report of a poor health status (poor/very poor) was higher in young people than in adults. The results suggest socioeconomic inequalities in SRH. Inequality was further confirmed among people who had a general health condition or a disability. Dentists and health care professionals need to recognize the effect of edentulism on quality of life among elders people.

'In general, how do you feel today?'--self-rated health in the context of aging in India

This thesis is centered on self-rated health (SRH) as an outcome measure, as a predictor, and as a marker. The thesis uses primary data from the WHO Study on global AGEing and adult health (SAGE) implemented in India in 2007. The structural equation modeling approach is employed to understand the pathways through which the social environment, disability, disease, and sociodemographic characteristics influence SRH among older adults aged 50 years and above. Cox proportional hazard model is used to explore the role of SRH as a predictor for mortality and the role of disability in modifying this effect. The hierarchical ordered probit modeling approach, which combines information from anchoring vignettes with SRH, was used to address the long overlooked methodological concern of interpersonal incomparability. Finally, multilevel model-based small area estimation techniques were used to demonstrate the use of large national surveys and census information to derive precise SRH prevalence estimates at the district and sub-district level. The thesis advocates the use of such a simple measure to identify vulnerable communities for targeted health interventions, to plan and prioritize resource allocation, and to evaluate health interventions in resource-scarce settings. The thesis provides the basis and impetus to generate and integrate similar and harmonized adult health and aging data platforms within demographic surveillance systems in different regions of India and elsewhere.

Association between self-reported general and mental health and adverse outcomes: a retrospective cohort study of 19,625 Scottish adults

OBJECTIVE

Self-reported general health and mental health are independent predictors of all-cause mortality. This study examines whether they are also independent predictors of incident cancer, coronary heart disease and psychiatric hospitalisation.

METHODS

We conducted a retrospective, population cohort study by linking the 19 625 Scottish adults who participated in the Scottish Health Surveys 1995-2003, to hospital admissions, cancer registration and death certificate records. We conducted Cox proportional hazard models adjusting for potential confounders including age, sex, socioeconomic status, alcohol, smoking status, body mass index, hypertension and diabetes.

RESULTS

Poor general health was reported by 1215 (6.2%) participants and was associated with cancer registrations (adjusted Hazard Ratio [HR] 1.30, 95% CI 1.10, 1.55), coronary heart disease events (adjusted HR 2.30, 95% CI 1.86, 2.84) and psychiatric hospitalisations (adjusted HR 2.42, 95% CI 1.65, 3.56). There was evidence of dose relationships and the associations remained significant after adjustment for mental health. 3172 (16%) participants had poor mental health (GHQ ≥ 4). After adjustment for general health, the associations between poor mental health and coronary heart disease events (adjusted HR 1.36, 95% CI 1.13, 1.63) and all-cause death (adjusted HR 1.38, 95% CI 1.23, 1.55) became non-significant, but mental health remained associated with psychiatric hospitalisations (fully adjusted HR 2.02, 95% CI 1.48, 2.75).

CONCLUSION

Self-reported general health is a significant predictor of a range of clinical outcomes independent of mental health. The association between mental health and non-psychiatric outcomes is mediated by general health but it is an independent predictor of psychiatric outcome. Individuals with poor general health or mental health warrant close attention.

Self-rated health: small area large area comparisons amongst older adults at the state, district and sub-district level in India

We compared prevalence estimates of self-rated health (SRH) derived indirectly using four different small area estimation methods for the Vadu (small) area from the national Study on Global AGEing (SAGE) survey with estimates derived directly from the Vadu SAGE survey. The indirect synthetic estimate for Vadu was 24% whereas the model based estimates were 45.6% and 45.7% with smaller prediction errors and comparable to the direct survey estimate of 50%. The model based techniques were better suited to estimate the prevalence of SRH than the indirect synthetic method. We conclude that a simplified mixed effects regression model can produce valid small area estimates of SRH.

Mortality in South Africa - socioeconomic profile and association with self-reported health

This paper exploits the first two waves of NIDS to describe the socioeconomic profile of mortality and to assess whether self-rated health status is predictive of mortality between waves. Mortality rates in NIDS are in line with estimates from official death notification data and display the expected hump of excess mortality in early and middle adulthood due to AIDS, with the excess peaking earlier for women than for men. We find evidence of a socioeconomic gradient in mortality with higher rates of mortality for individuals from asset poor households and with lower levels of education. Consistent with evidence from many industrialized countries and a few developing countries, we find self-rated health to be a significant predictor of two year mortality, an association that remains after controlling for socioeconomic status and several other subjective and objective measures of health.