Association between food insecurity and quality of life among older adults (60+) in six low and middle-income countries

Food insecurity is a key social determinant of health and nutrition. However, very few studies have examined the association of food insecurity and quality of life outcomes among older adults in low and middle-income settings. In this study, we examine the association of food insecurity with self-rated poor quality of life, low life satisfaction, and WHO quality of life (WHOQol). Nationally representative data from WHO's Study on global AGEing and adult health (SAGE) consisting of 20,026 older adults were analyzed. The association of food insecurity with self-rated poor quality of life and low life satisfaction was assessed using bivariate and multivariate logistic regression analysis. Multivariate linear regression models examine the association between food insecurity and WHOQol score. Pooled data analysis of six countries showed older adults with severe food insecurity were two times more likely to report poor quality of life (OR = 2.49, CI 2.10, 2.96; p < 0.001) and low life satisfaction (OR = 2.36, CI 1.94, 2.87; p < 0.001), respectively. Similarly, older adults with severe food insecurity had 3.60 (CI-4.25, -2.95; p < 0.001) points lower WHO-QoL score than those who are food secure. These results show that the association of food insecurity is statistically significant with all three outcomes of quality of life in all six countries adjusting for sociodemographic and health measures. Public health and social security interventions are important to prevent food insecurity to promote overall wellbeing of the growing older population in low and middle-income countries.

Deep phenotyping and genomic data from a nationally representative study on dementia in India

The Harmonized Diagnostic Assessment of Dementia for the Longitudinal Aging Study in India (LASI-DAD) is a nationally representative in-depth study of cognitive aging and dementia. We present a publicly available dataset of harmonized cognitive measures of 4,096 adults 60 years of age and older in India, collected across 18 states and union territories. Blood samples were obtained to carry out whole blood and serum-based assays. Results are included in a venous blood specimen datafile that can be linked to the Harmonized LASI-DAD dataset. A global screening array of 960 LASI-DAD respondents is also publicly available for download, in addition to neuroimaging data on 137 LASI-DAD participants. Altogether, these datasets provide comprehensive information on older adults in India that allow researchers to further understand risk factors associated with cognitive impairment and dementia.

Association between food insecurity and perceived stress among older adults (50+) in six low- and middle-income countries

OBJECTIVES

In this study, we assess the relationship between food insecurity andperceived stress among older adults (50+) in six low- and middle-income countries of China, Ghana, India, Mexico, Russia and, South Africa.

METHODS

Cross-sectional comparative analysis was conducted using nationally representative data from the WHO's Study on global AGEing and adult health survey. Bivariate and multivariate regression analyses examine if food insecurity was associated with perceived stress. We also examined the mediating role of health conditions on the association between food insecurity and perceived stress.

RESULTS

Across countries, the mean perceived stress score was higher among the older population with food insecurity. Regression analysis showed significant and positive association between food insecurity and perceived stress. Findings from the pooled data of six countries showed, older adults who experienced severe food insecurity (β = 4.05, p < .001) had higher perceived stress scores. The association was statistically significant in India, Russia, South Africa, and Ghana.

CONCLUSION

Food insecurity showed significant adverse impact on perceived stress among the older population in low- and middle-income countries. Policy measures to reduce household food insecurity are important for improving both mental and physical health conditions of the growing older population in low- and middle-income countries.

Multimorbidity and out-of-pocket expenditure for medicines in China and India

Introduction

Using nationally representative survey data from China and India, this study examined (1) the distribution and patterns of multimorbidity in relation to socioeconomic status and (2) association between multimorbidity and out-of-pocket expenditure (OOPE) for medicines by socioeconomic groups.

Methods

Secondary data analysis of adult population aged 45 years and older from WHO Study on Global Ageing and Adult Health (SAGE) India 2015 (n=7397) and China Health and Retirement Longitudinal Study (CHARLS) 2015 (n=11 570). Log-linear, two-parts, zero-inflated and quantile regression models were performed to assess the association between multimorbidity and OOPE for medicines in both countries. Quantile regression was adopted to assess the observed relationship across OOPE distributions.

Results

Based on 14 (11 self-reported) and 9 (8 self-reported) long-term conditions in the CHARLS and SAGE datasets, respectively, the prevalence of multimorbidity in the adult population aged 45 and older was found to be 63.4% in China and 42.2% in India. Of those with any long-term health condition, 38.6% in China and 20.9% in India had complex multimorbidity. Multimorbidity was significantly associated with higher OOPE for medicines in both countries (p<0.05); an additional physical long-term condition was associated with a 18.8% increase in OOPE for medicine in China (p<0.05) and a 20.9% increase in India (p<0.05). Liver disease was associated with highest increase in OOPE for medicines in China (61.6%) and stroke in India (131.6%). Diabetes had the second largest increase (China: 58.4%, India: 91.6%) in OOPE for medicines in both countries.

Conclusion

Multimorbidity was associated with substantially higher OOPE for medicines in China and India compared with those without multimorbidity. Our findings provide supporting evidence of the need to improve financial protection for populations with an increased burden of chronic diseases in low-income and middle-income countries.

Household air pollution during COVID-19 pandemic: A concern in India

Household air pollution is a serious public health concern in India with more than half of the Indian households relying on solid fuel use. The long periods of lockdown related measures to control COVID-19 pandemic in India further aggravated the adverse health effects of household air pollution as millions Indians were exposed to high level of health-damaging air pollutants inside their homes. This commentary discusses the vulnerability of the socioeconomically disadvantaged population forced to stay indoors during the pandemic. Exposure to household air pollution has detrimental effects on health, which might put individuals at higher risk for complications related to COVID-19. A large proportion of socioeconomically disadvantaged section of the population were exposed to critical levels of household air pollution and more vulnerable to severe health effects of COVID-19. There is a pressing need to understand the aggravated health consequences of household air pollution in association with COVID-19.

Socioeconomic differences in handgrip strength and its association with measures of intrinsic capacity among older adults in six middle-income countries

Handgrip strength, a measure of muscular strength is a powerful predictor of declines in intrinsic capacity, functional abilities, the onset of morbidity and mortality among older adults. This study documents socioeconomic (SES) differences in handgrip strength among older adults aged 50 years and over in six middle-income countries and investigates the association of handgrip strength with measures of intrinsic capacity-a composite of all the physical and mental capacities of an individual. Secondary data analysis of cross-sectional population-based data from six countries from the WHO's Study on global AGEing and adult health (SAGE) Wave 1 were conducted. Three-level linear hierarchical models examine the association of demographic, socioeconomic status and multimorbidity variables with handgrip strength. Regression-based Relative Index of Inequality (RII) examines socioeconomic inequalities in handgrip strength; and multilevel linear and logistic hierarchical regression models document the association between handgrip strength and five domains of intrinsic capacity: locomotion, psychological, cognitive capacity, vitality and sensory. Wealth quintiles are positively associated with handgrip strength among men across all countries except South Africa while the differences by education were notable for China and India. Work and nutritional status are positively associated with handgrip strength. Our findings provide new evidence of robust association between handgrip strength and other measures of intrinsic capacity and confirms that handgrip strength is a single most important measure of capacity among older persons.

Gender differences in self-reported sleep problems among older adults in six middle-income countries: a cross-sectional study

This study examines gender differences in sleep problems among older adults in India, China, Ghana, Mexico, Russia, and South Africa. We used data on 33,929 individuals (50+ years) from the WHO-SAGE. Results showed significant gender differences in the prevalence of sleep problems with the largest difference in Russia followed by India. Regression results showed higher odds of sleep problems among women in India, China, Russia, and South Africa. Age, low back pain, depression, and poor self-rated health were significantly associated with sleep problems. This research confirms significant gender differences in sleep problems among the older population in middle-income countries.

Association of life course socioeconomic status and adult height with cognitive functioning of older adults in India and China

BACKGROUND

Cognitive functioning is an important measure of intrinsic capacity. In this study, we examine the association of life course socioeconomic status (SES) and height with cognitive functioning among older adults (50+) in India and China. The age pattern of cognitive functioning with measures of life course socioeconomic status has also been examined.

METHODS

Cross-sectional comparative analysis was conducted using the WHO's Study on global AGEing and adult health (SAGE) data for India and China. Multilevel mixed-effect linear regression analysis was used to examine the association of life course socioeconomic status and adult height with cognitive functioning.

RESULTS

In both India and China, parental education as a measure of childhood socioeconomic status was positively associated with cognitive functioning. The association between adult socioeconomic status and cognitive functioning was positive and significant. Height was significantly and positively associated with improved cognitive functioning of older adults in India and China. Furthermore, the age-related decline in cognitive functioning score was higher among older adults whose parents had no schooling, particularly in China. The cognitive functioning score with age was much lower among less-educated older adults than those with higher levels of education in China. Wealthier older adults in India had higher cognitive functioning in middle ages, however, wealth differences narrowed with age.

CONCLUSIONS

The results of this study suggest a significant association of lifetime socioeconomic status and cumulative net nutrition on later-life cognitive functioning in middle-income settings.

Height and quality of life among older adults (50+) in India: a cross-sectional study

Adult height is a summary measure of health and net nutrition in early childhood. This study examines the association between height and quality-of-life outcomes in older adults (50+) in India. Cross-sectional data from Wave 1 of the World Health Organization (WHO) Study on global AGEing and adult health (SAGE) conducted in 2007 were analysed. The association between height and quality of life was assessed using bivariate and multivariate logistic and linear regression models. The mean WHO quality-of-life score (WHO-QoL) increased from 45.2 among the older adults in the lowest height quintile to 53.2 for those in the highest height quintile. However, the prevalence of self-rated poor quality of life declined from 16.4% in the lowest height quintile to 6.1% in the highest height quintile. In the fully adjusted regression model, height was found to be positively associated with quality-of-life outcomes among both men and women, independent of socioeconomic and physical health confounders. The association was particularly strong for women. Women in the highest height quintile had a 2.65 point higher WHO-QoL score than those in the lowest height quintile. Similarly, the likelihood of reporting a poor quality of life was lower among women in the highest height quintile. Furthermore, measures of economic status, handgrip strength, cognitive ability and poor self-rated health were significantly associated with WHO-QoL and self-rated poor quality of life. Overall, this study revealed a significant association between height and quality of life among older adults in India, suggesting a significant role of childhood circumstances in quality of life in later life.

Methodological considerations in designing and implementing the harmonized diagnostic assessment of dementia for longitudinal aging study in India (LASI-DAD)

The Harmonized Diagnostic Assessment of Dementia for Longitudinal Aging Study in India (LASI-DAD) is a population-representative, prospective cohort study of late-life cognition and dementia. It is part of an ongoing international research collaboration that aims to measure and understand cognitive impairment and dementia risk by collecting a set of cognitive and neuropsychological assessments and informant reports, referred to as the Harmonized Cognitive Assessment Protocol (HCAP). LASI-DAD provides nationally representative data drawn from a subsample of the ongoing Longitudinal Aging Study in India (LASI). One of LASI-DAD's distinctive features is its rich geriatric assessment, including the collection of venous blood samples and brain imaging data for a subsample of respondents. In this paper, we discuss the methodological considerations of developing and implementing the HCAP protocol in India. The lessons we learned from translating and applying the HCAP protocol in an environment where illiteracy and innumeracy are high will provide important insights to researchers interested in measuring and collecting data on late-life cognition and dementia in developing countries. We further developed an innovative blood management system that enables us to follow the collection, transportation, assay, and storage of samples. Such innovation can benefit other population surveys collecting biomarker data.

Visual impairment, low vision acuity, and the mediating effect of sleep indicators among older adults in India

Little is known about the prevalence and association between visual impairment, low vision acuity, and sleep indicators (sleep duration and sleep problem) in the Indian context. We investigate this association for Indian older adults (50+ ages). Using cross-sectional data from WHO-Study on global AGEing and adult health (WHO-SAGE) 2007–2008, a sample of 6560 ( Mage = 61.81, SD = 9.00) was selected for analysis. Self-reported visual impairment and performance-based low vision acuity were used as outcome variables, whereas sleep duration, problem in sleep, and medical condition with socio-demographic were used as covariates. Multivariate logistic regression analyses were conducted. In a fully adjusted model (including all covariates), vision impairment was associated with short sleep duration (<6 hr) and sleep problem, separately and together for both genders. Low vision was positively associated with short sleep duration and sleep problem, separately and together for males, whereas only long sleep (⩾9 hr) is associated with low vision acuity for females in fully adjusted model. Results suggest that sleep apnea including short sleep duration and sleep problem is the underestimated cause of visual impairment and vision acuity. Healthcare providers should consider sleep parameters (sleep duration and sleep problem) along with sleep apnea in the treatment of visual impaired older adults.

Illustrative effects of social capital on health and quality of life among older adult in India: Results from WHO-SAGE India

BACKGROUND

Lacuna in contemporary Indian academic research highlights the need to investigate the component of social capital and health outcome among elderly individuals in Indian context. Study endeavors to investigate prevalence of health indicators: self-rated good health(SRH), functional limitation, depression and quality of life(QoL) and the illustrative effects of social capital on elderly health outcome and QoL.

METHODS

Nationally representative cross-sectional data from WHO Study on global AGEing and adults health (SAGE) India 2007 is used. Individuals aged 50+ are included where logistic regression is used to estimate the effect of social capital along with other co-founders on SRH, functional limitation, and depression. Linear regression model is used to analyse evaluates the impact of social capital with other co-founders on QoL among elderly.

RESULTS

The multivariate analysis shows that SRH is associated with age, female, those having education, higher social-action with strong trust, safety and higher psychological resources. Depression among elderly is significantly related to age, gender, education level, higher wealth, strong sociability. QoL is inversaly related to age, gender, being muslim. A positive association of QoL is observed with higher education, having wealth, and strong social capital component like currently married, civic engagement, social-action, trust solidarity,and strong psychological resources.

CONCLUSION

The paper presents evidence that social capital significantly associated with SRH, lower depression, better functional health and higher quality of life. Hench forth policy makers should construct social policy where elderly feel safe and trusty surrounding, that can involved them into main stream as a productive resource of society.

Household air pollution and lung function in Indian adults: a cross-sectional study

Exposure to air pollution produced by cooking is common in developing countries, and represents a potentially avoidable cause of lung disease. Cross-sectional data were collected by the World Health Organization's Study on Global AGEing and Adult Health conducted in India between 2007 and 2010. Exposure to biomass cooking was also associated with a decrease in forced expiratory volume in 1 s (FEV1) (-70 ml, 95%CI -111 to -30) and FEV1/FVC (forced vital capacity) ratio (-0.025, 95%CI -0.035 to -0.015) compared to those who were not exposed. These associations were predominantly observed in males (P < 0.05 for interaction analyses). Intervention studies using non-biomass fuels in India are required to ascertain potential respiratory health benefits.

Exposure to air pollution and tobacco smoking and their combined effects on depression in six low- and middle-income countries

BackgroundLittle is known about the joint mental health effects of air pollution and tobacco smoking in low- and middle-income countries.AimsTo investigate the effects of exposure to ambient fine particulate matter pollution (PM2.5) and smoking and their combined (interactive) effects on depression.MethodMultilevel logistic regression analysis of baseline data of a prospective cohort study (n = 41 785). The 3-year average concentrations of PM2.5 were estimated using US National Aeronautics and Space Administration satellite data, and depression was diagnosed using a standardised questionnaire. Three-level logistic regression models were applied to examine the associations with depression.ResultsThe odds ratio (OR) for depression was 1.09 (95% C11.01-1.17) per 10 μg/m3 increase in ambient PM2.5, and the association remained after adjusting for potential confounding factors (adjusted OR = 1.10, 95% CI 1.02-1.19). Tobacco smoking (smoking status, frequency, duration and amount) was also significantly associated with depression. There appeared to be a synergistic interaction between ambient PM2.5 and smoking on depression in the additive model, but the interaction was not statistically significant in the multiplicative model.ConclusionsOur study suggests that exposure to ambient PM2.5 may increase the risk of depression, and smoking may enhance this effect.

Food insecurity partially mediates associations between social disadvantage and body composition among older adults in india: Results from the study on global AGEing and adult health (SAGE)

OBJECTIVE

Our objective was to test whether food insecurity mediates cross-sectional associations between social disadvantage and body composition among older adults (aged 50+) in India (n = 6556).

METHODS

Adjusting for key sociodemographic and dietary variables, we examined whether markers of social disadvantage (lower educational attainment, lower household wealth, belonging to a disadvantaged caste/tribe, and belonging to a minority religion) were associated with food insecurity. We then examined whether food insecurity, in turn, was associated with anthropometric measures of body composition, body mass index (BMI), and waist circumference (WC). We also tested whether food insecurity mediated the relationship between social disadvantage and body composition.

RESULTS

In adjusted models, lower household wealth [lowest quintile (Q5) vs highest quintile (Q1): odds ratio (OR) = 13.57, P < .001], having less than a high-school education (OR = 2.12. P < .005), being Muslim (OR = 1.82, P < .001), and being in a scheduled caste (historically marginalized) (OR = 1.49, P < .005) were associated with greater food insecurity. Those who were severely food insecure had greater odds of being underweight (OR = 1.36, P < .01) and lower odds of high WC (OR = 0.70, P < .01). Mediation analyses estimated that food insecurity explained 4.7%-29.7% of the relationship between social disadvantage and body composition, depending on the variables considered.

CONCLUSIONS

Our results are consistent with the hypothesis that food insecurity is a mechanism linking social disadvantage and body composition among older adults in India. These analyses contribute to a better understanding of processes leading to variation in body composition, which may help enhance the design of interventions aimed at improving population nutritional status.

Chronic Noncommunicable Diseases in 6 Low- and Middle-Income Countries: Findings From Wave 1 of the World Health Organization's Study on Global Ageing and Adult Health (SAGE)

In this paper, we examine patterns of self-reported diagnosis of noncommunicable diseases (NCDs) and prevalences of algorithm/measured test-based, undiagnosed, and untreated NCDs in China, Ghana, India, Mexico, Russia, and South Africa. Nationally representative samples of older adults aged ≥50 years were analyzed from wave 1 of the World Health Organization's Study on Global Ageing and Adult Health (2007-2010; n = 34,149). Analyses focused on 6 conditions: angina, arthritis, asthma, chronic lung disease, depression, and hypertension. Outcomes for these NCDs were: 1) self-reported disease, 2) algorithm/measured test-based disease, 3) undiagnosed disease, and 4) untreated disease. Algorithm/measured test-based prevalence of NCDs was much higher than self-reported prevalence in all 6 countries, indicating underestimation of NCD prevalence in low- and middle-income countries. Undiagnosed prevalence of NCDs was highest for hypertension, ranging from 19.7% (95% confidence interval (CI): 18.1, 21.3) in India to 49.6% (95% CI: 46.2, 53.0) in South Africa. The proportion untreated among all diseases was highest for depression, ranging from 69.5% (95% CI: 57.1, 81.9) in South Africa to 93.2% (95% CI: 90.1, 95.7) in India. Higher levels of education and wealth significantly reduced the odds of an undiagnosed condition and untreated morbidity. A high prevalence of undiagnosed NCDs and an even higher proportion of untreated NCDs highlights the inadequacies in diagnosis and management of NCDs in local health-care systems.

Social Network and Mental Health Among Older Adults in Rural Uttar Pradesh, India: A Cross-Sectional Study

The rapid growth of the older population in India draws attention to the factors that contribute to their changing health realities. However, there has hardly been any study in India that has looked at the effects of specific social networks with children, relatives, friends and confidant on depression among older adults. The objective of the study is to investigate the association between social network and depression among the rural elderly. The study population comprised over 630 older adults (aged 60 and above) from the rural areas of Varanasi, Uttar Pradesh. We adopted Berkman's theoretical model of the impact of social relations on depression among the elderly in the Indian context. Results of the Confirmatory Factor Analysis (CFA) demonstrated that the four specific social network types: children, relatives, friends and confidant were tenable. The results showed that a better social network with 'friends/neighbours' was protective against depression among the rural elderly. This clearly points to the need for more social network centres for older adults, so that they can interact with friends within the community or between communities and participate in group activities.

Rising Health Expenditure Due to Non-Communicable Diseases in India: An Outlook

With ongoing demographic transition, epidemiological transition has been emerged as a growing concern in India. The share of non-communicable disease in total disease burden has increased from 31% in 1990 to 45% in 2010. This paper seeks to explore the health scenario of India in the wake of the growing pace of non-communicable diseases such as diabetes and hypertension among Indian population using data from health and morbidity survey of the National Sample Survey Organisation (2004) and notifies about the resource needed to tackle this growing health risk. Given the share of private players (70%) in Indian health system, results indicate a higher private expenditure, mostly out-of-pocket expense, on account of non-communicable diseases. A timely look into the matter may tackle a more dreadful situation in near future.

Prevalence of and factors associated with frailty and disability in older adults from China, Ghana, India, Mexico, Russia and South Africa

BACKGROUND

The severe burden imposed by frailty and disability in old age is a major challenge for healthcare systems in low- and middle-income countries alike. The current study aimed to provide estimates of the prevalence of frailty and disability in older adult populations and to examine their relationship with socioeconomic factors in six countries.

METHODS

Focusing on adults aged 50+ years, a frailty index was constructed as the proportion of deficits in 40 variables, and disability was assessed using the World Health Organization Disability Assessment Schedule (WHODAS 2.0), as part of the Study on global AGEing and adult health (SAGE) Wave 1 in China, Ghana, India, Mexico, Russia and South Africa.

RESULTS

This study included a total of 34,123 respondents. China had the lowest percentages of older adults with frailty (13.1%) and with disability (69.6%), whereas India had the highest percentages (55.5% and 93.3%, respectively). Both frailty and disability increased with age for all countries, and were more frequent in women, although the sex gap varied across countries. Lower levels of both frailty and disability were observed at higher levels of education and wealth. Both education and income were protective factors for frailty and disability in China, India and Russia, whereas only income was protective in Mexico, and only education in South Africa.

CONCLUSIONS

Age-related frailty and disability are increasing concerns for older adult populations in low- and middle-income countries. The results indicate that lower levels of frailty and disability can be achieved for older people, and the study highlights the need for targeted preventive approaches and support programs.

Education, gender, and state-level disparities in the health of older Indians: Evidence from biomarker data

Using new biomarker data from the 2010 pilot round of the Longitudinal Aging Study in India (LASI), we investigate education, gender, and state-level disparities in health. We find that hemoglobin level, a marker for anemia, is lower for respondents with no schooling (0.7g/dL less in the adjusted model) compared to those with some formal education and is also lower for females than for males (2.0g/dL less in the adjusted model). In addition, we find that about one third of respondents in our sample aged 45 or older have high C-reaction protein (CRP) levels (>3mg/L), an indicator of inflammation and a risk factor for cardiovascular disease. We find no evidence of educational or gender differences in CRP, but there are significant state-level disparities, with Kerala residents exhibiting the lowest CRP levels (a mean of 1.96mg/L compared to 3.28mg/L in Rajasthan, the state with the highest CRP). We use the Blinder-Oaxaca decomposition approach to explain group-level differences, and find that state-level disparities in CRP are mainly due to heterogeneity in the association of the observed characteristics of respondents with CRP, rather than differences in the distribution of endowments across the sampled state populations.

The impact of multimorbidity on adult physical and mental health in low- and middle-income countries: what does the study on global ageing and adult health (SAGE) reveal?

BACKGROUND

Chronic diseases contribute a large share of disease burden in low- and middle-income countries (LMICs). Chronic diseases have a tendency to occur simultaneously and where there are two or more such conditions, this is termed as 'multimorbidity'. Multimorbidity is associated with adverse health outcomes, but limited research has been undertaken in LMICs. Therefore, this study examines the prevalence and correlates of multimorbidity as well as the associations between multimorbidity and self-rated health, activities of daily living (ADLs), quality of life, and depression across six LMICs.

METHODS

Data was obtained from the WHO's Study on global AGEing and adult health (SAGE) Wave-1 (2007/10). This was a cross-sectional population based survey performed in LMICs, namely China, Ghana, India, Mexico, Russia, and South Africa, including 42,236 adults aged 18 years and older. Multimorbidity was measured as the simultaneous presence of two or more of eight chronic conditions including angina pectoris, arthritis, asthma, chronic lung disease, diabetes mellitus, hypertension, stroke, and vision impairment. Associations with four health outcomes were examined, namely ADL limitation, self-rated health, depression, and a quality of life index. Random-intercept multilevel regression models were used on pooled data from the six countries.

RESULTS

The prevalence of morbidity and multimorbidity was 54.2 % and 21.9 %, respectively, in the pooled sample of six countries. Russia had the highest prevalence of multimorbidity (34.7 %) whereas China had the lowest (20.3 %). The likelihood of multimorbidity was higher in older age groups and was lower in those with higher socioeconomic status. In the pooled sample, the prevalence of 1+ ADL limitation was 14 %, depression 5.7 %, self-rated poor health 11.6 %, and mean quality of life score was 54.4. Substantial cross-country variations were seen in the four health outcome measures. The prevalence of 1+ ADL limitation, poor self-rated health, and depression increased whereas quality of life declined markedly with an increase in number of diseases.

CONCLUSIONS

Findings highlight the challenge of multimorbidity in LMICs, particularly among the lower socioeconomic groups, and the pressing need for reorientation of health care resources considering the distribution of multimorbidity and its adverse effect on health outcomes.

Prevalence, risk factors and disability associated with fall-related injury in older adults in low- and middle-incomecountries: results from the WHO Study on global AGEing and adult health (SAGE)

BACKGROUND

In 2010 falls were responsible for approximately 80 % of disability stemming from unintentional injuries excluding traffic accidents in adults 50 years and over. Falls are becoming a major public health problem in low- and middle-income countries (LMICs) where populations are ageing rapidly.

METHODS

Nationally representative standardized data collected from adults aged 50 years and over participating in the World Health Organization (WHO) Study on global AGEing and adult health (SAGE) Wave 1 in China, Ghana, India, Mexico, the Russian Federation and South Africa are analysed. The aims are to identify the prevalence of, and risk factors for, past-year fall-related injury and to assess associations between fall-related injury and disability. Regression methods are used to identify risk factors and association between fall-related injury and disability. Disability was measured using the WHO Disability Assessment Schedule Version 2.0 (WHODAS 2.0).

RESULTS

The prevalence of past-year fall-related injuries ranged from 6.6 % in India to 1.0 % in South Africa and was 4.0 % across the pooled countries. The proportion of all past-year injuries that were fall-related ranged from 73.3 % in the Russian Federation to 44.4 % in Ghana. Across the six countries this was 65.7 %. In the multivariable logistic regression, the odds of past-year fall-related injury were significantly higher for: women (OR: 1.27; 95 % CI: 0.99,1.62); respondents who lived in rural areas (OR: 1.36; 95 % CI: 1.06,1.75); those with depression (OR: 1.43; 95 % CI: 1.01,2.02); respondents who reported severe or extreme problems sleeping (OR: 1.54; 95 % CI: 1.15,2.08); and those who reported two or more (compared with no) chronic conditions (OR: 2.15; 95 % CI: 1.45,3.19). Poor cognition was also a significant risk factor for fall-related injury. The association between fall-related injury and the WHODAS measure of disability was highly significant (P<0.0001) with some attenuation after adjusting for confounders. Reporting two or more chronic conditions (compared with none) was significantly associated with disability (P<0.0001).

CONCLUSIONS

The findings provide a platform for improving understanding of risk factors for falls in older adults in this group of LMICs. Clinicians and public health professionals in these countries must be made aware of the extent of this problem and the need to implement policies to reduce the risk of falls in older adults.

Risk Factors and Disability Associated with Low Back Pain in Older Adults in Low- and Middle-Income Countries. Results from the WHO Study on Global AGEing and Adult Health (SAGE)

BACKGROUND

Back pain is a common disabling chronic condition that burdens individuals, families and societies. Epidemiological evidence, mainly from high-income countries, shows positive association between back pain prevalence and older age. There is an urgent need for accurate epidemiological data on back pain in adult populations in low- and middle-income countries (LMICs) where populations are ageing rapidly. The objectives of this study are to: measure the prevalence of back pain; identify risk factors and determinants associated with back pain, and describe association between back pain and disability in adults aged 50 years and older, in six LMICs from different regions of the world. The findings provide insights into country-level differences in self-reported back pain and disability in a group of socially, culturally, economically and geographically diverse LMICs.

METHODS

Standardized national survey data collected from adults (50 years and older) participating in the World Health Organization (WHO) Study on global AGEing and adult health (SAGE) were analysed. The weighted sample (n = 30, 146) comprised respondents in China, Ghana, India, Mexico, South Africa and the Russian Federation. Multivariable regressions describe factors associated with back pain prevalence and intensity, and back pain as a determinant of disability.

RESULTS

Prevalence was highest in the Russian Federation (56%) and lowest in China (22%). In the pooled multi-country analyses, female sex, lower education, lower wealth and multiple chronic morbidities were significant in association with past-month back pain (p<0.01). About 8% of respondents reported that they experienced intense back pain in the previous month.

CONCLUSIONS

Evidence on back pain and its impact on disability is needed in developing countries so that governments can invest in cost-effective education and rehabilitation to reduce the growing social and economic burden imposed by this disabling condition.

Relevance of Health Knowledge in Reporting Maternal Health Complications and Use of Maternal Health Care in India

We measured levels of women's health knowledge and their association with the reporting of maternal health complications and related health care use. We found that women with higher levels of health knowledge reported more pregnancy and postnatal complications, and used more maternal health care services. Education has a positive impact on health, but education alone is not enough to ensure recognizing and reporting of health complications and increasing the demand for maternal health care services. We conclude that the provision of health education for women will help them to identify maternal health complications and improve their reporting and related health care use.

Understanding epidemiological transition in India

Background

Omran's theory explains changing disease patterns over time predominantly from infectious to chronic noncommunicable diseases (NCDs). India's epidemiological transition is characterized by dual burden of diseases. Kumar addressed low mortality and high morbidity in Kerala, which seems also to be true for India as a country in the current demographic scenario.

Methods

NSS data (1986–1987, 1995–1996, 2004) and aggregated data on causes of death provided by Registrar General India (RGI) were used to examine the structural changes in morbidity and causes of death. A zero-inflated poisson (ZIP) regression model and a beta-binomial model were used to corroborate the mounting age pattern of morbidity. Measures, namely the 25th and 75th percentiles of age-at-death and modal age-at-death, were used to examine the advances in mortality transition.

Objective

This study addressed the advances in epidemiological transition via exploring the structural changes in pattern of diseases and progress in mortality transition.

Results

The burden of NCDs has been increasing in old age without replacing the burden of communicable diseases. The manifold rise of chronic diseases in recent decades justifies the death toll and is responsible for transformation in the age pattern of morbidity. Over time, deaths have been concentrated near the modal age-at-death. Modal age-at-death increased linearly by 5 years for females (r²=0.9515) and males (r²=0.9020). Significant increase in modal age-at-death ascertained the dominance of old age mortality over the childhood/adult age mortality.

Conclusions

India experiences a dual burden of diseases associated with a remarkable transformation in the age pattern of morbidity and mortality, contemporaneous with structural changes in disease patterns. Continued progress in the pattern of diseases and mortality transition, accompanied by a linear rise in e_x, unravels a compelling variation in advances found so far in epidemiological transition witnessed by the developed nations, with similar matrices for India.

Adjustments to amputation and an artificial limb in lower limb amputees

BACKGROUND

Positive adjustments to amputation and an artificial limb play important roles in the rehabilitation process.

OBJECTIVES

To study the different facets of adjustments to amputation and an artificial limb in lower limb amputees and to assess the possible role of different background and amputation-related factors that could potentially influence these adjustments.

STUDY DESIGN

Cross-sectional.

METHODS

Adult unilateral and non-congenital lower limb amputees (n = 368) met the inclusion/exclusion criteria. Face-to-face interviews were conducted using structured questionnaires including patient's background, amputation and the Trinity Amputation and Prosthesis Experience Scales.

RESULTS

Amputees were on average satisfied with the functioning of the prosthesis, moderately psychosocially adjusted and not restricted in performing functional and social activities, except for athletic activities. Age, employment, daily use of prosthesis and assistive device use were the most important factors associated with adjustments to amputation and prosthesis, followed by gender, co-morbidity and amputation level.

CONCLUSIONS

Evaluation of employment status and measures to curb unemployment through vocational rehabilitation and providing assistance for placement should be intrinsic to the rehabilitation programme. Future studies are envisaged to understand the underlying factors determining the extent of daily use of prosthesis and the reasons for the use of assistive devices by the amputees. Clinical relevance Proper appraisal and measures to alleviate employment and co-morbidity, related issues, routine evaluation of daily use of prosthesis and providing appropriate gait training might facilitate immediate and long-term adjustment.

Maternal and child mortality indicators across 187 countries of the world: converging or diverging

This study reassessed the progress achieved since 1990 in maternal and child mortality indicators to test whether the progress is converging or diverging across countries worldwide. The convergence process is examined using standard parametric and non-parametric econometric models of convergence. The results of absolute convergence estimates reveal that progress in maternal and child mortality indicators is diverging for the entire period of 1990-2010 [maternal mortality ratio (MMR) - β = .00033, p < .574; neonatal mortality rate (NNMR) - β = .04367, p < .000; post-neonatal mortality rate (PNMR) - β = .02677, p < .000; under-five mortality rate (U5MR) - β = .00828, p < .000)]. In the recent period, such divergence is replaced with convergence for MMR but diverged for all the child mortality indicators. The results of Kernel density estimate reveal considerable reduction in divergence of MMR for the recent period; however, the Kernel density distribution plots show more than one 'peak' which indicates the emergence of convergence clubs based on their mortality levels. For child mortality indicators, the Kernel estimates suggest that divergence is in progress across the countries worldwide but tended to converge for countries with low mortality levels. A mere progress in global averages of maternal and child mortality indicators among a global cross-section of countries does not warranty convergence unless there is a considerable reduction in variance, skewness and range of change.

Demographic transition in India: an evolutionary interpretation of population and health trends using 'change-point analysis'

BACKGROUND AND RATIONALE

Lack of a robust analytical tool for trend analysis of population and health indicators is the basic rationale of this study. In an effort to fill this gap, this study advances 'Change-Point analyzer' as a new analytical tool for assessment of the progress and its pattern in population and health indicators.

METHODOLOGY/PRINCIPAL FINDINGS

The defining feature of 'change-point analyzer' is that, it detects subtle changes that are often missed in simple trend line plots and also quantified the volume of change that is not possible in simple trend line plots. A long-term assessment of 'change-point analyses' of trends in population and health indicators such as IMR, Population size, TFR, and LEB in India show multiple points of critical changes. Measured change points of demographic and health trends helps in understanding the demographic transitional shifts connecting it to contextual policy shifts. Critical change-points in population and health indicators in India are associated with the evolution of structural changes in population and health policy framework.

CONCLUSIONS

This study, therefore, adds significantly to the evolutionary interpretation of critical change-points in long-term trajectories of population and health indicators vis-a-vis population and health policy shifts in India. The results have not only helped in reassessing the historical past and the current demographic transition trajectory but also advanced a new method of assessing the population and health trends which are necessary for robust monitoring of the progress in population and health policies.

Data resource profile: the World Health Organization Study on global AGEing and adult health (SAGE)

Population ageing is rapidly becoming a global issue and will have a major impact on health policies and programmes. The World Health Organization's Study on global AGEing and adult health (SAGE) aims to address the gap in reliable data and scientific knowledge on ageing and health in low- and middle-income countries. SAGE is a longitudinal study with nationally representative samples of persons aged 50+ years in China, Ghana, India, Mexico, Russia and South Africa, with a smaller sample of adults aged 18-49 years in each country for comparisons. Instruments are compatible with other large high-income country longitudinal ageing studies. Wave 1 was conducted during 2007-2010 and included a total of 34 124 respondents aged 50+ and 8340 aged 18-49. In four countries, a subsample consisting of 8160 respondents participated in Wave 1 and the 2002/04 World Health Survey (referred to as SAGE Wave 0). Wave 2 data collection will start in 2012/13, following up all Wave 1 respondents. Wave 3 is planned for 2014/15. SAGE is committed to the public release of study instruments, protocols and meta- and micro-data: access is provided upon completion of a Users Agreement available through WHO's SAGE website (www.who.int/healthinfo/systems/sage) and WHO's archive using the National Data Archive application (http://apps.who.int/healthinfo/systems/surveydata).

Validity and Reliability of MOS Short Form Health Survey (SF-36) for Use in India

BACKGROUND

Health is defined as the state of complete physical, mental and social well-being than just the absence of disease or infirmity. In order to measure health in the community, a reliable and validated instrument is required.

OBJECTIVES

To adapt and translate the Medical Outcomes Study Short-Form Health Survey (SF-36) for use in India, to study its validity and reliability and to explore its higher order factor structure.

MATERIALS AND METHODS

Face-to-face interviews were conducted in 184 adult subjects by two trained interviewers. Statistical analyses for establishing item-level validity, scale-level validity and reliability and tests of known group comparison were performed. The higher order factor structure was investigated using principal component analysis with varimax rotation.

RESULTS

The questionnaire was well understood by the respondents. Item-level validity was established using tests of item internal consistency, equality of item-scale correlations and item-discriminant validity. Tests of scale-level validity and reliability performed well as all the scales met the required internal consistency criteria. Tests of known group comparison discriminated well across groups differing in socio-demographic and clinical variables. The higher order factor structure was found to comprise of two factors, with factor loadings being similar to those observed in other Asian countries.

CONCLUSION

The item-and scale-level statistical analyses supported the validity and reliability of SF-36 for use in India.

Are self reported morbidities deceptive in measuring socio-economic inequalities

BACKGROUND & OBJECTIVES

The ambiguity and variability in existing literature on the magnitude of socio-economic inequality in self-reported morbidities makes it difficult to set priorities in health policy. This study examined three critical research questions: first, how far self-reporting affects measuring socio-economic inequalities in case of obstetric morbidities. Second, does using simple bivariate variations mislead in estimating socio-economic differentials in prevalence of obstetric morbidities? Finally, whether use of sophisticated regression based decomposition results can overcome such problems.

METHODS

The data from National Family Health Survey (NFHS-3; 2005-06) were used, and analyzed by statistical tools such as bivariate estimates and regression based decomposition analysis.

RESULTS

Bivariate results revealed that self-reported obstetric morbidity data were misleading in measurement of socio-economic differentials, as these failed to show existing socio-economic variations in obstetric morbidities by socio-economic standing of women. However, decomposition analysis showed that the prevalence of obstetric complications was greater among socioeconomically disadvantaged groups.

INTERPRETATION & CONCLUSIONS

Based on our findings on measurement of socio-economic inequality in self-reported obstetric morbidity, we conclude that the use of regression based inequality decomposition estimates not only overcomes the problems of measuring socio-economic inequality based on self-reported morbidities, but also increases the validity of such measures.

Factors affecting quality of life in lower limb amputees

BACKGROUND

Quality of life (QoL) is increasingly being recognized as an important outcome for rehabilitation programs, and has mainly been used to compare the efficacy of interventions or to compare amputees with other diseased populations. There is relatively a limited number of studies primarily focusing on analyzing the multitude of factors influencing QoL in amputees.

OBJECTIVES

To identify important background and amputation related factors which affect quality of life (QoL) in lower limb amputees, and to compare QoL profile of amputees' to that of general population.

STUDY DESIGN

Cross-sectional.

METHODS

Lower limb amputees 18 years and above from a rehabilitation centre, a limb-fitting centre and four limb-fitting camps were interviewed (n = 605). Structured questionnaires included patient background and amputation characteristics, and the MOS short-form health survey (SF-36) for assessing QoL. The SF-36 was administered to a general adult population using purposive sampling (n = 184).

RESULTS

SF-36 PCS and MCS scores were found to be significantly lower for amputees when compared to those for the general population. In this study, employment status, use of an assistive device, use of a prosthesis, comorbidities, phantom-limb pain and residual stump pain were found to predict both PCS and MCS scores significantly, and explained 47.8% and 29.7% of variance respectively. Age and time since amputation accounted for an additional 3% of variance in PCS scores.

CONCLUSIONS

The abovementioned factors should be addressed in order to ensure holistic reintegration and participation, and to enable the amputees to regain or maintain QoL. Prospective longitudinal studies are recommended to systematically study the change in QoL over time and to assess its determinants.

CLINICAL RELEVANCE

Proper appraisal of abovementioned factors in the rehabilitation programme would assist in establishing a treatment protocol, which would adequately address QoL in amputees.

Measuring wealth-based health inequality among Indian children: the importance of equity vs efficiency

The concentration index is the most commonly used measure of socio-economic-related health inequality. However, a critical constraint has been that it is just a measure of inequality. Equity is an important goal of health policy but the average level of health also matters. In this paper, we explore evidence of both these crucial dimensions-equity (inequality) and efficiency (average health)-in child health indicators by adopting the recently developed measure of the extended concentration index on the National Family Health Survey (NFHS-3) data from India. An increasing degree of inequality aversion is used to measure health inequalities as well as achievement in the following child health indicators: under-2 child mortality, full immunization coverage, and prevalence of underweight, wasting and stunting among children. State-wise adjusted under-2 child mortality scores reveal an increasing trend with increasing values of inequality aversion, implying that under-2 child deaths have been significantly concentrated among the poor households. The level of adjusted under-2 child mortality scores increases significantly with the increasing value of aversion even in states advanced in the health transition, such as Kerala and Goa. The higher values of adjusted scores for lower values of aversion for child immunization coverage are evidence that richer households benefited most from the rise in full immunization coverage. However, the lack of radical changes in the adjusted scores for underweight among children with increasing degrees of aversion implies that household economic status was not the only determinant of poor nutritional status in India.

Emerging patterns of reported morbidity and hospitalisation in West Bengal, India

This paper presents evidence on the levels, patterns and determinants of morbidity prevalence and hospitalisation in the state of West Bengal in India using data from the 60th round (2004) of the National Sample Survey Organisation on 'morbidity and health care'. The reported morbidity and hospitalisation rates were considerably higher in urban than in rural populations. Age indicated substantial effects on morbidity and hospitalisation in both rural and urban areas, with females reporting higher morbidity than males in urban areas. Caste, region and seasonal differences in morbidity prevalence were found significant only in rural areas, but socio-economic inequalities in the prevalence of morbidity and hospitalisation were lower in urban areas. Morbidity and hospitalisation rates were more strongly related with household monthly per capita expenditure than to educational attainment. The distribution of ailments suggest that West Bengal is passing through the advanced phase of epidemiologic transition in which communicable diseases are being swiftly replaced with rising levels of non-communicable diseases.

Socio-economic inequalities in child survival in India: a decomposition analysis

This paper provides a first time assessment of the decomposed contributions of socio-economic determinants of under2 child mortality in India and its states using the recent National Family Health Survey (NFHS-3, 2005-06) data. In the first stage analysis, concentration indices of under2 mortality were generated as measures of socio-economic inequalities. The concentration indices were then decomposed into their determining factors. Decomposition results reveal that poor household economic status (46%), mother's illiteracy (35%) and rural residence (15%) contribute to 96% of total socio-economic inequalities in child survival at the national level. The contribution of economic status is relatively smaller in 5 states that are advanced in health transition. The varying pattern of evidence across the states from decomposition analysis suggests the need for unique health intervention strategies for different states in accordance with the evidence of major contributions to total child health inequalities arising from poverty, illiteracy and rural residence.

Morbidity Prevalence and Health Care Utilization Among Older Adults in India

India is experiencing accelerated demographic transition. The country will face the challenge of dealing with problem of population aging in the coming decades. Amidst socioeconomic consequences, health risks among older adults are rising rapidly especially on account of noncommunicable diseases. Given such background, this study assesses the pattern of disease burden, health care utilization, and their covariates for older adults in two selected states based on the 60th round of National Sample Survey (NSSO) data. The states in focus are Maharashtra, the state ahead in demographic transition, and Uttar Pradesh, the state lagging in this process. Correspondingly, the overall prevalence of noncommunicable diseases is higher in Maharashtra compared with Uttar Pradesh. Multivariate logistic regression estimates further show that both the morbidity and health care utilization rates are increasing among older adults. At the same time, substantial disparities are demonstrated in the pattern of morbidity prevalence and health care utilization among older persons by demographic and socioeconomic factors and between Maharashtra and Uttar Pradesh.