Socioeconomic inequalities in non-communicable diseases prevalence in India: disparities between self-reported diagnoses and standardized measures

Education and non-communicable diseases in India: an exploration of gendered heterogeneous relationships

BACKGROUND

While the association between education and non-communicable diseases (NCDs) is well established, it remains unclear whether this association varies by gender. The aim of this study was to examine two critical research questions: whether the association of education and NCDs is conditioned by gender and, if so, what are the factors contributing to this?

METHODS

Data from the Longitudinal Aging Study in India Wave 1 (2017-2018) was used for the empirical analysis. The study employs bivariate, binary logistic regression and Oaxaca decomposition analyses.

RESULTS

The results reveal that the net likelihood of having at least one chronic NCD increases with an increase in education level for men (<5 y of schooling: odds ratio [OR] 1.18 [95% confidence interval {CI} 1.09 to 1.28]; ≥10 y of schooling: OR 1.43 [95% CI 1.33 to 1.53]). However, for women, the result showed a contrasting pattern. The decomposition analysis revealed that the distinctive roles of marital status and working status in the diagnosis of morbidity for men and women are the key factors behind the gendered heterogeneous relationship of education and NCDs in India.

CONCLUSIONS

The study found that it is important to acknowledge the potential impact of self-reporting bias in morbidity data while examining the relationship between education and NCDs.

Residential Differences and Depression Among Older Adults With Dual Sensory Loss

Importance

Investigating rural-urban and regional differences in the association between dual sensory loss (concurrent hearing and vision loss) and depression may highlight gaps in sensory loss research and health care services, and by socioeconomic status. Whether urbanicity and region may modify associations between sensory loss and depression is unknown.

Objective

To describe the rural-urban and regional differences in the association of dual sensory loss with depression among older adults.

Design, Setting, and Participants

This cross-sectional study used data from wave 1 (April 2017-December 2019) of the population-based Longitudinal Aging Study in India (LASI). Participants were recruited from 35 states and union territories in India. LASI incorporated a multistage stratified area probability cluster sampling design to recruit participants 45 years and older and their spouses; 31 447 eligible participants 60 years of age or older were interviewed. Data analyses were conducted from May 17, 2022, to November 11, 2023.

Exposures

Sensory loss (no sensory loss, hearing loss only, vision loss only, and dual sensory loss) was determined by respondents' self-reported perceived difficulty regarding hearing and vision function.

Main Outcomes and Measures

The Composite International Diagnostic Interview (CIDI-SF) scale was used to identify major episodic depression. Logistic regression was used to estimate the odds ratios (ORs) and 95% CIs of depression comparing participants with vs without sensory loss, adjusting for demographic and clinical covariates. Rural-urban and regional differences were assessed by including interaction terms between these variables and sensory loss.

Results

The study analysis included 27 927 participants (mean [SD] age, 68.0 [7.2] years; 14 477 [51%] females and 13 450 [49%] males). The fully adjusted models showed that the odds of depression with dual sensory loss (vs no loss) was higher in urban (OR, 3.16; 95% CI, 2.00-4.99) vs rural (OR, 1.73; 95% CI, 1.31-2.29) residents and among residents in the West (OR, 5.10; 95% CI, 1.74-14.97) vs North (OR, 1.38; 95% CI, 0.81-2.35) regions.

Conclusions and Relevance

These findings indicate that sensory loss is associated with depression in older adults, with differences by urbanicity and region. Adults with sensory loss across multiple systems may be an important group to target for intervention.

Self-reported illnesses in Thatta: Evidence from a rural and underdeveloped district in Sindh province, Pakistan

INTRODUCTION

Self-reported illnesses (SRI) surveys are widely used as a low-cost substitute for weak Disease Surveillance Systems in low- and low-middle-income countries. In this paper, we report findings of a district-level disease prevalence survey of all types of illnesses including chronic, infectious, injuries and accidents, and maternal and child health in a rural district in Pakistan.

METHODS

A district-level survey was conducted in Thatta in 2019 with a population-representative sample of all ages (n = 7811) a. Survey included questions on demographics and SRIs from the respondents. Prevalence was estimated for all SRIs categorized into six major and 16 minor illnesses. The influence of important socio-demographic covariates on the illnesses and multiple comorbidities was explored by estimating prevalence ratios with a Generalized Linear Model of the Poisson family and by Zero-Inflated Poison Distribution respectively.

FINDINGS

36.57% of the respondents to the survey reported at least one SRI. Prevalence of communicable illnesses was 20.7%, followed by non-communicable illnesses (4.8%), Gastrointestinal disorders (4.4%), and injuries/disabilities (1.9%). Urban inhabitants were more likely to have Chronic Obstructive Pulmonary Disorders (3.34%) and Diabetes (1.62%). Females were most likely to have injuries (1.20,), disabilities (1.59), and Musculoskeletal Disorders (1.25). Children aged < 1 year (0.80) and elderly >65 years (0.78) were more likely to have comorbidities.

DISCUSSION

Our estimated prevalence of SRI is quite higher than the prevalence of unknown SRIs in national-level surveys in Pakistan. This research's findings serve as an example of aiding evidence-based priority settings within the health sector. Our findings on gender, and young and old age as positive predictors of SRI are consistent with similar surveys in a few LMICs.

RECOMMENDATION AND CONCLUSION

We provide evidence of a complete disease profile of a district that is otherwise unavailable in the country. This study can reshape the existing health surveys and to aid evidence-based priority settings in the health sector. We, however, support strengthening the Disease Surveillance System as a reliable source of disease prevalence data.

Trends in Socioeconomic Inequalities in the Prevalence of Chronic Non-Communicable Diseases in China: Evidence from Shaanxi Province During 2003-2013

Background: The link between chronic non-communicable diseases (NCDs) and poverty in underdeveloped countries is debated. This study aims to examine socioeconomic inequalities related to NCDs and assess the contributing factors to these disparities. Methods: The study utilized data from the National Health Services Survey in Shaanxi Province for 2003, 2008, and 2013, having 71,766 respondents. The concentration index (CI) was employed to rigorously quantify the degree of socioeconomic inequality in the prevalence of non-communicable diseases (NCDs). The CI decomposition identified the contribution of each variable, while the horizontal inequity (HI) index was calculated annually to assess changes in inequality. Additionally, a Probit model was employed to examine the significant determinants contributing to the occurrence of NCDs. Results: The results show a significant increase in NCD prevalence with age, particularly for individuals aged 60 and above, who experienced a 286.55% rise from 2003 to 2013. Higher education levels are associated with decreased NCD prevalence, as evidenced by a 74.13% reduction for those with high school education or above. Additionally, wealthier individuals had a 15.31% lower prevalence of NCDs, indicating that higher socioeconomic status correlates with a reduced likelihood of chronic diseases. Conclusions: The study finds that NCD prevalence significantly increases with age, while higher education levels and greater wealth are associated with reduced prevalence. These findings highlight the need to target older populations and lower socioeconomic groups for effective NCD prevention and management. Policies should focus on improving educational opportunities and socioeconomic conditions to reduce the burden of NCDs, particularly among older and economically disadvantaged groups.

Health Inequalities Between Afro-descendants and Non-Afro-descendants in Peru: Evidence from the Demographic and Family Health Survey

BACKGROUND

The Afro-Peruvian population is one of the ethnic minorities most affected by cultural, socioeconomic, and health barriers; however, there is little evidence on health inequalities in this ethnic group. Therefore, We aimed to determine health inequalities among the Peruvian Afro-descendant population in comparison with non-Afro-descendants.

METHODS

A cross-sectional study was conducted using data from the Demographic and Family Health Survey 2022. Twenty indicators related to the health, nutrition, and well-being of the Peruvian Afro-descendant population were included. Individuals identifying as native, as well as those who did not know or did not respond to the ethnicity question, were excluded from the analysis. To assess inequalities in these indicators, the difference in percentages between Afro-descendants and non-Afro-descendants was calculated, and the percentages of these indicators across the tertiles of wealth index and the slope index of inequality (SII) were analysed for each ethnic group.

RESULTS

Of a total of 16,875 adults and 23,206 women included in the study, 16.9% and 17.3% were of African descent, respectively. Afro-descendant population had a lower proportion of self-reported diabetes (- 1.5 percetange points (pp); 95% confidence interval (CI), - 2.7 to - 0.3); alcohol consumption in the last 30 days (- 4.5 pp; 95% CI, - 7.2 to - 1.8); higher education (- 20.6 pp, 95% CI, - 23.2 to - 18.0); access to improved water (- 3.4 pp; 95% CI, - 4.6 to - 2.1) and sanitation (- 12.1 pp; 95% CI, - 14.2 to - 10.0); cesarean section (- 9.5 pp; 95% CI, - 12.6 to - 6.4); institutional delivery (- 6.3 pp; 95% CI, - 8.4 to - 4.1); early initiation of prenatal care (- 3.3 pp; 95% CI, - 5.8 to - 0.9); birth registration (- 1.8 pp; 95% CI, - 3.4 to - 0.2) and higher proportion of stunting (+ 4.8 pp; 95% CI, 3.0 to 6.6) and adolescent maternity (+ 5.0 pp; 95% CI, 1.4 to 8.6) compared to their non-Afro-descendant counterparts. In addition, a similar wealth gap between Afro-descendant and non-Afro-descendant populations was observed in various indicators.

CONCLUSIONS

In Peru, some indicators reflect the worse living conditions faced by the Afro-descendant population compared to their non-Afro-descendant counterparts in terms of health, nutrition, and well-being.

Sex Differences in the Associations Between Chronic Diseases and Insomnia Symptoms Among Older Adults in India

Background

Sleep problems are a critical issue in the aging population, affecting quality of life, cognitive efficiency, and contributing to adverse health outcomes. The coexistence of multiple diseases is common among older adults, particularly women. This study examines the associations between specific chronic diseases, multimorbidity, and insomnia symptoms among older Indian men and women, with a focus on the interaction of sex in these associations.

Methods

Data were drawn from 31,464 individuals aged 60 and older in the Longitudinal Ageing Study in India, Wave-1 (2017-18). Insomnia symptoms were assessed using four questions adapted from the Jenkins Sleep Scale (JSS-4), covering difficulty falling asleep, waking up, waking too early, and feeling unrested during the day. Multivariable logistic regression models, stratified by sex, were used to analyze the associations between chronic diseases and insomnia symptoms.

Results

Older women had a higher prevalence of insomnia symptoms than men (44.73% vs 37.15%). Hypertension was associated with higher odds of insomnia in both men (AOR: 1.20) and women (AOR: 1.36). Women with diabetes had lower odds of insomnia (AOR: 0.80), while this association was not significant in men. Neurological or psychiatric disorders, stroke, and bone and joint diseases were linked to higher odds of insomnia in both sexes. Chronic lung disease was associated with insomnia in men (AOR: 1.65), but not in women. Additionally, having three or more chronic diseases significantly increased the odds of insomnia in both men (AOR: 2.43) and women (AOR: 2.01).

Conclusion

Hypertension, bone and joint diseases, lung diseases, stroke, neurological or psychiatric disorders, and multimorbidity are linked to insomnia symptoms in older Indian adults. Disease-specific management and routine insomnia screening are crucial for promoting healthy aging in this vulnerable population.

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

Background

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

Methods

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

Results

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

Conclusion

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

Investigating the role of the built environment, socio-economic status, and lifestyle factors in the prevalence of chronic diseases in Mashhad: PLS-SEM model

Background

Chronic diseases remain a significant contributor to both mortality and disability in our modern world. Physical inactivity and an unhealthy diet are recognized as significant behavioral risk factors for chronic diseases, which can be influenced by the built environment and socio-economic status (SES). This study aims to investigate the relationship between the built environment, SES, and lifestyle factors with chronic diseases.

Methods

The current study was conducted in Mashhad's Persian cohort, which included employees from Mashhad University of Medical Sciences (MUMS). In the study, 5,357 participants from the cohort were included. To assess the state of the built environment in Mashhad, a Geographic Information System (GIS) map was created for the city and participants in the Persian Mashhad study. Food intake and physical exercise were used to assess lifestyle. A food frequency questionnaire (FFQ) was used to assess food intake. To assess food intake, the diet quality index was computed. To assess the link between variables, the structural model was created in accordance with the study's objectives, and partial least square structural equation modeling (PLS-SEM) was utilized.

Results

The chronic diseases were positively associated with male sex (p < 0.001), married (p < 0.001), and higher age (p < 0.001). The chronic diseases were negatively associated with larger family size (p < 0.05), higher SES (p < 0.001), and higher diet quality index (DQI) (p < 0.001). No significant relationship was found between chronic disease and physical activity.

Conclusion

Food intake and socioeconomic status have a direct impact on the prevalence of chronic diseases. It seems that in order to reduce the prevalence of chronic diseases, increasing economic access, reducing the class gap and increasing literacy and awareness should be emphasized, and in the next step, emphasis should be placed on the built environment.

Cross-sectional evaluation of the multidimensional indicators of psychosocial functioning and its sociodemographic correlates among Indian adults: WHO SAGE Study (2007-2010)

This study examined the relationship between sociodemographic characteristics and psychosocial functioning (PF) among Indian adults. Data (N = 11,230) for this study came from the World Health Organization's SAGE (Longitudinal Study of Global Aging and Adult Health) Wave 1 2007-2010. First, multivariable regression analyses (logistic or linear regression depending on the outcome variable) were run to evaluate whether PF indicators varied by gender after controlling other sociodemographic characteristics. Next, the relationship between sociodemographic characteristics and PF indicators was examined using ordinary least square regression (OLS) models and logistic regression models, separately for men and women. Specifically, the PF indicators, including social indicators of interpersonal relationship difficulty, social connectedness, and personal indicators of sleep, affect, perceived quality of life, and cognition were each regressed on sociodemographic factors. All analyses in the study were cross-sectional in nature and conducted using STATA version 15.1. Overall, the study found significant sociodemographic differences in PF among Indian adults that also varied by gender. As such, social and/or economic disadvantage was associated with poorer PF. However, the results demonstrated that socioeconomic patterns in PF were much more nuanced among women than among men. This study adds to previous research on PF in India and provides new insights into how sociodemographic characteristics shape it. A major research implication of this finding is that inconsistent with assumptions of previous research, an increase in SES is not always linked to proportionate increases in PF among women. The study also makes a compelling case for separately examining multiple non-clinical outcomes of psychosocial health.

The moderating effect of mental health and health insurance ownership on the relationships between physical multimorbidity and healthcare utilisation and catastrophic health expenditure in India

BACKGROUND

The current demographic transition has resulted in the growth of the older population in India, a population group which has a higher chance of being affected by multimorbidity and its subsequent healthcare and economic consequences. However, little attention has been paid to the dual effect of mental health conditions and physical multimorbidity in India. The present study, therefore, aimed to analyse the moderating effects of mental health and health insurance ownership in the association between physical multimorbidity and healthcare utilisation and catastrophic health expenditure (CHE).

METHODS

We analysed the Longitudinal Aging Study in India, wave 1 (2017-2018). We determined physical multimorbidity by assessing the number of physical conditions. We built multivariable logistic regression models to determine the moderating effect of mental health and health insurance ownership in the association between the number of physical conditions and healthcare utilisation and CHE. Wald tests were used to evaluate if the estimated effects differ across groups defined by the moderating variables.

RESULTS

Overall, around one-quarter of adults aged 45 and above had physical multimorbidity, one-third had a mental health condition and 20.5% owned health insurance. Irrespective of having a mental condition and health insurance, physical multimorbidity was associated with increased utilisation of healthcare and CHE. Having an additional mental condition strengthened the adverse effect of physical multimorbidity on increased inpatient service use and experience of CHE. Having health insurance, on the other hand, attenuated the effect of experiencing CHE, indicating a protective effect.

CONCLUSIONS

The coexistence of mental health conditions in people with physical multimorbidity increases the demands of healthcare service utilisation and can lead to CHE. The findings point to the need for multidisciplinary interventions for individuals with physical multimorbidity, ensuring their mental health needs are also addressed. Our results urge enhancing health insurance schemes for individuals with mental and physical multimorbidity.

Healthier Food Purchase and Its Determinants in an Urban Resettlement Colony of Delhi

Dietary risk, one of the major risk factors for the increasing burden of non-communicable diseases, is influenced by household food choices and purchases. A community-based cross-sectional study was conducted in 250 randomly selected households of an urban resettlement colony in Delhi to estimate the proportion of households purchasing different healthier food options during the last purchasing occasion and to identify its key determinants. Purchase of healthier options in staple items like wheat flour with fiber (100%), plant-based oils (97.9%), unpolished pulses (96.2%), and toned milk (94.5%) was high. Affordability and health considerations in food purchases were identified as key determinants.

Findings from the Indonesian family life survey on patterns and factors associated with multimorbidity

The prevalence of multimorbidity tends to increase with age, but it is now also reported in the middle-aged population, which has a negative impact on healthcare systems and health outcomes. This study aims to analyze the patterns and factors associated with multimorbidity in Indonesia. This national cross-sectional population-based survey used publicly available data from the Indonesian Family Life Survey (IFLS-5) for 2014 among middle-aged (40-59 years old) and elderly (≥ 60 years old) respondents. Information on all chronic diseases was assessed using a self-reported questionnaire. Sociodemographic and health-related behavioral factors were obtained from self-reported data. Binary logistic regression analysis was used to identify the factors associated with multimorbidity. Adjusted odds ratios (AORs) with 95% confidence intervals (CIs) were reported. The study recruited 11,867 respondents. The prevalence of multimorbidity was 18.6% (95% CI 17.9-19.3) with which 15.6% among middle age (95% CI 14.95-16.25) and 24.9% among the elderly (95% CI 24.12-25.68). Hypertension was the most commonly reported disease (23.2%) in all combinations of multimorbidity and among all age groups. Socio-demographic factors: elderly (AOR: 1.66; 95% CI 1.46-1.89), female (AOR: 1.42; 95% CI 1.20-1.69), living in the urban area (AOR: 1.22; 95% CI 1.09-1.38), higher educational level (AOR: 2.49; 95% CI 1.91-3.26), unemployed (AOR: 1.63; 95% CI 1.44-1.84), and higher economic level (AOR: 1.41; 95% CI 1.18-1.68) were associated with multimorbidity. Poor health behavior factors: being former smokers (AOR: 2.03; 95% CI 1.65-2.51) and obesity (AOR: 1.53; 95% CI 1.35-1.75) were also associated with multimorbidity. The prevalence of multimorbidity in the middle-aged and elderly population in Indonesia is relatively high, particularly in populations with poor health behaviors. Therefore, healthcare professionals should integrate more patient-specific factors when designing and implementing tailored interventions to manage multimorbidity in Indonesia.

Child marriage as a risk factor for non-communicable diseases among women in India

BACKGROUND

Child marriage, defined as marriage under the age of 18 years, remains pervasive in India. Global evidence documents a negative association between child marriage and women's reproductive and sexual health outcomes; however, its relationship with non-communicable diseases (NCDs) remains underexplored.

METHODS

We utilize biomarkers and self-reported data from the nationally representative National Family and Health Survey 4 (2015-2016) to examine the associations between child marriage and hypertension, diabetes, heart disease, asthma and thyroid disorder among currently married women (N = 421 107). We use regression models adjusted for a range of demographic and socio-economic controls to assess the association between child marriage and NCDs among women in India. We further assess whether and to what extent these relationships are mediated by early motherhood using the Karlson, Holm and Breen method of decomposition.

RESULTS

Child marriage was associated with hypertension [adjusted odds ratio 1.20 (95% CI: 1.17-1.24)], diabetes [1.29 (1.22-1.37)], heart disease [1.27 (1.18-1.36)], asthma [1.19 (1.11-1.28)] and thyroid disorder [1.10 (1.02-1.18)]. Early motherhood also increased the risk of NCDs among women. Furthermore, it emerged as a pathway linking child marriage with hypertension, diabetes and heart disease; however, it provided a partial explanation for the disadvantage associated with child marriages.

CONCLUSIONS

Child marriage emerges as a risk factor for NCDs among women in India. Health systems need to recognize the enduring influence of child marriages on women's health and ensure early detection and effective treatment of NCDs for this vulnerable group.

Stochastic frontier approach to efficiency analysis of health facilities in providing services for non-communicable diseases in eight LMICs

BACKGROUND

The rising burden of non-communicable diseases presents an increasing public health challenge to many low- and middle-income countries. This problem may be compounded in health systems with lower levels of technical efficiency (TE).

METHODS

This study used recent Service Provision Assessments data to estimate the level of TEs of health facilities in eight countries. Initially, the general and disease-specific service readiness indexes are estimated. Finally, the production function is estimated using the exposures and the outcomes of the model.

RESULTS

Evidence shows that the general and disease-specific service readiness indexes are significantly associated with an increase in the number of outpatient visits. Outpatient visits may increase by 14% with an increase in health worker density. Similarly, outpatient visits may increase by 0.3% with a unit increase in the general and diabetes service readiness indexes. Furthermore, outpatient visits may increase by 0.4% and 0.8% with an increase in services readiness for cardiovascular and respiratory diseases. respectively. Overall, the level of TE score suggests the need for improvement.

CONCLUSIONS

Facility-level service readiness for chronic diseases is quite low. Therefore, improving health outcomes related to chronic diseases requires urgent investment in high-quality health systems in these countries.

Hidden educational inequalities in high blood pressure and high blood glucose levels in Kerala: evidence from the National Family Health Survey (2019-2021)

OBJECTIVE

This study assesses educational inequalities in measured as well as self-reported high blood pressure (BP) and high blood glucose (BG) in the southern Indian state of Kerala, which is known to have high chronic disease morbidity.

DESIGN

The present findings are drawn from a large-scale, nationally representative cross-sectional study.

SETTINGS AND PARTICIPANTS

India's Demographic and Health Survey (conducted in 2019-2021) had data on 36 526 individuals aged 15 years and above in the state of Kerala, India.

PRIMARY AND SECONDARY OUTCOMES MEASURES

Measured high BP and BG; self-reported high BP and BG; as well as self-reported BP and BG testing. Descriptive statistics, bivariate analysis, along with multivariate statistics, were used. Educational inequalities were assessed through absolute and relative complex measures of inequality, namely the Slope Index of Inequality (SII) and Relative Concentration Index (RCI), respectively, with 95% CIs.

RESULTS

The largest margin of inequality in Kerala, between the least and the most educated groups, was observed for measured high BP (57.7% and 17.6%). Measured high BP (SII -45.4% (95% CI -47.3% to -43.4%); RCI -26.6% (95% CI -27.9% to -25.3%)), self-reported high BP (SII -34.5% (95% CI -36.3% to -32.7%); RCI -19.0% (95% CI -20.1% to -17.9%)). High BG levels were concentrated among those with lower educational attainment (SII -26.6% (95% CI -28.6% to -24.7%); RCI -15.7% (95% CI -16.9% to -14.5%)), represented by negative SII and RCI values.

CONCLUSIONS

The study findings suggest that research and programme efforts need to be redoubled to determine what is driving greater vulnerability to non-communicable diseases among population with lower educational attainment on the one hand and the possible role that improving education access can be on health outcomes, on the other hand. Further research should explore relevant intersections with low education.

Prevalence of physical health conditions and health risk behaviours in people with severe mental illness in South Asia: multi-country cross-sectional survey

BACKGROUND

People with severe mental illness (SMI) die earlier than the general population, primarily because of physical disorders.

AIMS

We estimated the prevalence of physical health conditions, health risk behaviours, access to healthcare and health risk modification advice in people with SMI in Bangladesh, India and Pakistan, and compared results with the general population.

METHOD

We conducted a cross-sectional survey in adults with SMI attending mental hospitals in Bangladesh, India and Pakistan. Data were collected on non-communicable diseases, their risk factors, health risk behaviours, treatments, health risk modification advice, common mental disorders, health-related quality of life and infectious diseases. We performed a descriptive analysis and compared our findings with the general population in the World Health Organization (WHO) 'STEPwise Approach to Surveillance of NCDs' reports.

RESULTS

We recruited 3989 participants with SMI, of which 11% had diabetes, 23.3% had hypertension or high blood pressure and 46.3% had overweight or obesity. We found that 70.8% of participants with diabetes, high blood pressure and hypercholesterolemia were previously undiagnosed; of those diagnosed, only around half were receiving treatment. A total of 47% of men and 14% of women used tobacco; 45.6% and 89.1% of participants did not meet WHO recommendations for physical activity and fruit and vegetable intake, respectively. Compared with the general population, people with SMI were more likely to have diabetes, hypercholesterolemia and overweight or obesity, and less likely to receive tobacco cessation and weight management advice.

CONCLUSIONS

We found significant gaps in detection, prevention and treatment of non-communicable diseases and their risk factors in people with SMI.

Multivariate decomposition of gender differentials in successful aging among older adults in India

BACKGROUND

Rowe and Kahn define successful aging as a high physical, psychological, and social functioning in old age without major diseases. It is considered a viable solution to the burdens placed on healthcare systems and financial and social security in societies with aging population. The present study aimed to determine the prevalence of successful aging and explore the factors contributing to gender differentials in successful aging among older adults in India.

METHODS

This study utilized data from the nationally representative Longitudinal Ageing Study in India, conducted in 2017-18. The study is based on a sample of 15,098 older men and 16,366 older women aged 60 years and above. The outcome variable was a dichotomous measure of successful aging with six components including absence of chronic diseases, free from disability, high cognitive ability, free from depressive symptoms, active social engagement in life and free from obesity. Older adults satisfying all these conditions were considered aging successfully. Descriptive and bivariate analyses were carried out. Proportion test was used to evaluate the gender differentials and reflect the statistical significance in the associated factors. Multivariate decomposition analysis was conducted to identify covariates' contribution in explaining the gender differences in successful aging.

RESULTS

There was a significant gender difference in successful aging among older adults in India (Difference: 8.7%; p-value < 0.001] with 34.3% older men and 25.6% older women experiencing successful aging. A proportion of 88% of gender difference in successful aging was explained by the differences in the distribution of characteristics (Coef: 0.082; p-value < 0.05). Considerable gender gap in successful aging would be reduced if women had similar levels of work status (28% reduction) to their male counterparts. Bringing the level of frequent physical activity in women to the same levels observed in men would reduce the gender gap by 9%.

CONCLUSIONS

The findings suggest that women had a lower score in successful aging, which is attributed to several socioeconomic and behavioural factors including not working status and physical inactivity. More studies must be done to explore the reasons for such differences and what particular factors in low-income countries create differences among older men and women in achieving successful aging.

Distribution of self-reported health in India: The role of income and geography

An important new large-scale survey database is brought to bear on measuring and analysing self-reported health in India. The most important correlates are age, income and location. There is substantial variation of health across the 102 'homogeneous regions' within the country, after controlling for household and individual characteristics. Higher income is correlated with better health in only 40% of India. We create novel maps showing regions with poor health, that is attributable to the location, that diverge from the conventional wisdom. These results suggest the need for epidemiological studies in the hotspots of ill-health and in regions where higher income does not correlate with improved health.

Socioeconomic Inequalities in Chronic Disease in Kharameh Cohort Study: A Population-Based Cross- Sectional Study in Southern Iran

BACKGROUND

The trend of chronic diseases is increasing globally. Socioeconomic status (SES) is a major factor underlying many chronic diseases. This study was conducted to investigate the socioeconomic inequalities in distribution of chronic diseases in Iran, as a middle-income country.

METHODS

This cross-sectional study was conducted using the baseline data of the Kharameh cohort study, that were collected between 2014 and 2016. The number of participants in this study was 10663 people in the age range of 35 to 70 years. Principal component analysis was used for calculating the SES of the people under study. In addition, we used concentration index and concentration curve to measure socioeconomic inequality in chronic disease.

RESULTS

The mean age of 10,663 participants in our study was 52.15±8.22 years and the male to female ratio was 1.26. Recurrent headache (25.8%( and hypertension (23.5%) were the most prevalent diseases. The concentration index showed that the distribution of movement disorder, recurrent headaches and gastroesophageal reflux diseases is significantly concentrated among people with low SES, and obesity among people with high SES. The results of the analysis by gender were similar to the results seen in all participants.

CONCLUSION

The findings of this study show that socioeconomic inequality is the cause of the concentration of non-communicable diseases among people with low socio-economic status. Therefore, health policy makers should pay special attention to identifying vulnerable subgroups and formulate strategic plans to reduce inequalities.

Socioeconomic disparities in diabetes prevalence and management among the adult population in Bangladesh

BACKGROUND

Diabetes, one of the major metabolic disorders, is rising in Bangladesh. Studies indicate there is inequality in prevalence and care-seeking behavior, which requires further exploration to understand the socioeconomic disparities in the pathophysiology of diabetes. This study examined the latest nationally representative estimates of diabetes prevalence, awareness, and management among adults aged 18 years and above in Bangladesh and its association with socioeconomic status in 2017-18.

METHODS

We used the 2017-18 Bangladesh Demographic and Health Survey data. Diabetic status of 12,092 adults aged 18 years and above was measured in the survey using fasting plasma glucose levels. We applied multivariate logistic regressions to examine the role of socioeconomic status on diabetes prevalence, awareness, and management, after controlling for relevant covariates.

RESULTS

Overall, 10% of adults had diabetes in Bangladesh in 2017-18, with the highest prevalence of 16% in the age group 55-64 years. Our analyses found statistically significant disparities by socioeconomic status in the prevalence of diabetes as well as the person's awareness of his/her diabetic condition. However, the effect of socioeconomic status on receiving anti-diabetic medication only approached significance (p = 0.07), and we found no significant association between socioeconomic status and control of diabetes.

CONCLUSIONS

We expect to see an 'accumulation' of the number of people with diabetes to continue in the coming years. The rising prevalence of diabetes is only the tip of an iceberg; a large number of people with uncontrolled diabetes and a lack of awareness of their condition will lead to increased morbidity and mortality, and that could be the real threat. Immediate measures to increase screening coverage and exploration of poor control of diabetes are required to mitigate the situation.

Socioeconomic Inequalities in the Prevalence of Non-Communicable Diseases among Older Adults in India

Understanding socioeconomic inequalities in non-communicable disease prevalence and preventive care usage can help design effective action plans for health equality programs among India's aging population. Hypertension (HTN) and diabetes mellitus (DM) are frequently used as model non-communicable diseases for research and policy purposes as these two are the most prevalent NCDs in India and are the leading causes of mortality. For this investigation, data on 31,464 older persons (aged 60 years and above) who took part in the Longitudinal Ageing Survey of India (LASI: 2017-2018) were analyzed. The concentration index was used to assess socioeconomic inequality whereas relative inequalities indices were used to compare HTN, DM, and preventive care usage between the different groups of individuals based on socioeconomic status. The study reveals that wealthy older adults in India had a higher frequency of HTN and DM than the poor elderly. Significant differences in the usage of preventive care, such as blood pressure/blood glucose monitoring, were found among people with HTN or DM. Furthermore, economic position, education, type of work, and residential status were identified as important factors for monitoring inequalities in access to preventive care for HTN and DM. Disparities in non-communicable diseases can be both a cause and an effect of inequality across social strata in India.

Brumadinho Health Project: methodological aspects and epidemiological profile of participants in the cohort baseline

OBJECTIVE

To present the methodological aspects of the Brumadinho Health Project and to describe the epidemiological profile of participants in the baseline cohort.

METHODS

Prospective, population-based cohort study in a representative sample of residents (aged 12 and over) of Brumadinho, Minas Gerais, after a mining tailings dam failure. Information for the baseline was collected in 2021, two years after the mining tailings dam collapsed, including sociodemographic, health and service use aspects, among others. Prevalence estimates of health outcomes were described in Brumadinho, as well as in the Metropolitan Region of Belo Horizonte and Minas Gerais, using data from the 2019 National Health Survey. All analyses were performed in the software Stata 17.0, considering the sampling weights and design effect.

RESULTS

3,080 (86.4%) residents participated in the study, most of them being females (56.7%) and with a mean age of 46.1 years. The diseases more frequently reported were arterial hypertension (30.1%), high cholesterol (23.1%) and depression (22.5%), similarly to what was observed in the Metropolitan Region of Belo Horizonte and Minas Gerais, although the prevalence in Brumadinho was higher. At least one medical appointment and one hospitalization occurred in 75.2% and 9.4% of residents in the past year, respectively.

CONCLUSION

It is important to monitor health, physical and mental conditions of residents after the occurrence of a disaster of this magnitude. This information can contribute with risk management of these processes, not only in the affected municipality, but also in other areas where populations are at risk of major disasters.

Socioeconomic inequalities in the risk factors of noncommunicable diseases (hypertension and diabetes) among Bangladeshi population: Evidence based on population level data analysis

BACKGROUND

Noncommunicable diseases (NCDs) such as hypertension and diabetes are among the most fatal disease and prevalent among the adult population worldwide, including Bangladesh, and pose a public health threat. Understanding the socioeconomic inequalities linked to NCD risk factors can aid in the development of effective strategies to reduce the disease's recurrence. However, the literature on socioeconomic inequalities in hypertension and diabetes prevalence in Bangladesh is scant. Therefore, this study seeks to assess the inequality in hypertension and diabetes prevalence and to identify factors that may contribute to socioeconomic inequalities in Bangladesh.

METHODS

The current study incorporated data from a recent round of Bangladesh Demographic and Health Survey (BDHS 2017-18). The age-standardized prevalence rates of hypertension and diabetes were reported, and the log-binomial regression technique was used to identify the relevant confounders. Additionally, socioeconomic inequalities were quantified using a regression-based decomposition technique in which the concentration index (CIX) and Concentration curve were produced to determine the socioeconomic factors contributing to inequality.

RESULTS

Hypertension and diabetes were shown to have an age-standardized prevalence of (11.29% 95% CI: 11.13-11.69) and (36.98% 95% CI: 36.79-37.16), respectively. Both hypertension and diabetes were shown to be pointedly linked to the respondents' age, wealth status, being overweight or obese, and a variety of respondents' administrative divisions (p <0.001). In Bangladesh, household wealth status accounted for approximately 25.71% and 43.41% of total inequality in hypertension and diabetes, respectively. While BMI played a significant role in the emergence of inequality, the corresponding percentages for diabetes and hypertension are 4.95 and 83.38, respectively. In addition, urban areas contributed 4.56% inequality to increase diabetes among Bangladeshi inhabitants while administrative region contributed 4.76% of the inequality of hypertension.

CONCLUSION

A large proportion of Bangladesh's adult population suffers from hypertension and diabetes. It is critical to recognize the value of equity-based initiatives in order to optimize the benefit-risk ratio and cost effectiveness of preventive health programmes. Integrating equity considerations into interventions is critical for policies and programmes to achieve their objectives. As a result, these findings can be taken into account when making existing and prospective policy decisions, as well as following its progression with economic development of Bangladesh.

Prevalence of multimorbidity in older adults in São Paulo, Brazil: a study with ISA-Capital

OBJECTIVE

To estimate the prevalence of multimorbidity in older adults in São Paulo, Brazil.

METHODS

A cross-sectional study based on the 2015 ISA-Capital population-based survey, with a subsample of 1,019 older adults aged ≥ 60 years old. Multimorbidity was categorized considering two or more chronic diseases, based on a previously defined list. The data were analyzed in univariate and multiple models with Poisson regression.

RESULTS

The prevalence of multimorbidity was 40% (95%CI: 36.6-43.8), being higher in women (PR a = 1.95 [compared to men]; 95%CI: 1.58-2.40), in individuals aged ≥ 75 years old (PR a = 1.25 [compared to individuals aged ≥ 60 to 64 years old]; 95%CI: 1.01-1.60), in Black people (PR a = 1.28 [compared to White people]; 95%CI: 1.04-1.59), in high-income people (PR a = 1.27 [compared to low income]; 95%CI: 1.09-1.50) and in former smokers (PR a = 1.30 [compared to those who never smoked]; 95%CI: 1.05-1.60), and lower in smokers (PR a = 0.72 [compared to those who never smoked]; 95%CI: 1.09-1.50).

CONCLUSION

The prevalence of multimorbidity was lower than that reported in most of the reviewed studies, but consistently associated with gender, age, race/skin color, smoking habit and socioeconomic status. The standardization of conceptual and methodological criteria for estimation is a challenge to relieve problems in the planning and management of health care systems for older populations.

Achieving health equity in US suicides: a narrative review and commentary

Suicide rates in the United States (US) reached a peak in 2018 and declined in 2019 and 2020, with substantial and often growing disparities by age, sex, race/ethnicity, geography, veteran status, sexual minority status, socioeconomic status, and method employed (means disparity). In this narrative review and commentary, we highlight these many disparities in US suicide deaths, then examine the possible causes and potential solutions, with the overarching goal of reducing suicide death disparities to achieve health equity.The data implicate untreated, undertreated, or unidentified depression or other mental illness, and access to firearms, as two modifiable risk factors for suicide across all groups. The data also reveal firearm suicides increasing sharply and linearly with increasing county rurality, while suicide rates by falls (e.g., from tall structures) decrease linearly by increasing rurality, and suicide rates by other means remain fairly constant regardless of relative county urbanization. In addition, for all geographies, gun suicides are significantly higher in males than females, and highest in ages 51-85 + years old for both sexes. Of all US suicides from 1999-2019, 55% of male suicides and 29% of female suicides were by gun in metropolitan (metro) areas, versus 65% (Male) and 42% (Female) suicides by gun in non-metro areas. Guns accounted for 89% of suicides in non-metro males aged 71-85 + years old. Guns (i.e., employment of more lethal means) are also thought to be a major reason why males have, on average, 2-4 times higher suicide rates than women, despite having only 1/4-1/2 as many suicide attempts as women. Overall the literature and data strongly implicate firearm access as a risk factor for suicide across all populations, and even more so for male, rural, and older populations.To achieve the most significant results in suicide prevention across all groups, we need 1) more emphasis on policies and universal programs to reduce suicidal behaviors, and 2) enhanced population-based strategies for ameliorating the two most prominent modifiable targets for suicide prevention: depression and firearms.

Wealth and inequality gradients for the detection and control of hypertension in older individuals in middle-income economies around 2007-2015

Socioeconomic inequalities in the detection and treatment of non-communicable diseases represent a challenge for healthcare systems in middle-income countries (MICs) in the context of population ageing. This challenge is particularly pressing regarding hypertension due to its increasing prevalence among older individuals in MICs, especially among those with lower socioeconomic status (SES). Using comparative data for China, Colombia, Ghana, India, Mexico, Russia and South Africa, we systematically assess the association between SES, measured in the form of a wealth index, and hypertension detection and control around the years 2007-15. Furthermore, we determine what observable factors, such as socio-demographic and health characteristics, explain existing SES-related inequalities in hypertension detection and control using a Blinder-Oaxaca decomposition. Results show that the prevalence of undetected hypertension is significantly associated with lower SES. For uncontrolled hypertension, there is evidence of a significant gradient in three of the six countries at the time the data were collected. Differences between rural and urban areas as well as lower and higher educated individuals account for the largest proportion of SES-inequalities in hypertension detection and control at the time. Improved access to primary healthcare in MICs since then may have contributed to a reduction in health inequalities in detection and treatment of hypertension. However, whether this indeed has been the case remains to be investigated.

Decomposing the rural-urban gap in the prevalence of undiagnosed, untreated and under-treated hypertension among older adults in India

Background

Although awareness and treatment rates of hypertension have significantly improved in recent years, the prevalence of undiagnosed and untreated hypertension remains a major public health concern for Indian policymakers. While the urban–rural variation in the prevalence, diagnosis, control, and treatment of hypertension is reasonably well-documented, the explanation behind such variation remains poorly understood given the dearth of studies conducted on exploring the determinants of the rural–urban gap in the prevalence of undiagnosed, untreated, and uncontrolled hypertension in India. In view of this research gap, our paper aims to decompose the inter-group differences between rural and urban areas in undiagnosed, untreated, and undertreated hypertension among older adults in India into the major contributing factors.

Methods

Nationally representative data collected in the Longitudinal Ageing Study of India, Wave-1 (2017–18), was utilized for this study. Maximum-likelihood binary logistic-regression models were employed to capture the crude and adjusted associations between the place of residence and prevalence of undiagnosed, untreated, and undertreated hypertension. Fairlie’s decomposition technique was used to decompose the inter-group differences between rural and urban residents in the prevalence of undiagnosed, untreated, and undertreated hypertension among the older population in India, into the major contributing factors, in order to explore the pathways through which these differences manifest.

Results

The overall prevalence rates of undiagnosed, untreated, and undertreated hypertension among older adults were 42.3%, 6%, and 18.7%, respectively. However, the prevalence of undiagnosed and untreated hypertension was higher in rural areas, by 12.4 and 1.7 percentage-points, respectively, while undertreated hypertension was more prevalent in the urban areas (by 7.2 percentage-points). The decomposition analysis explained roughly 41% and 34% of the urban advantage over rural areas in the case of undiagnosed and untreated hypertension, while it explained 51% of the urban disadvantage in respect of undertreated hypertension. The rural–urban differentials in education and comorbidities accounted for the majority of the explained rural disadvantage in the prevalence of undiagnosed hypertension, explaining 13.51% and 13.27% of the gap, respectively. The regional factor was found to be the major driver behind urban advantage in the prevalence of untreated hypertension, contributing 37.47% to the overall gap. In the case of undertreated hypertension, education, comorbidities, and tobacco consumption were the major contributors to the urban–rural inequality, which accounted for 12.3%, 10.6%, and 9.8% of the gap, respectively.

Conclusion

Socio-economic and lifestyle factors seemed to contribute significantly to the urban–rural gap in undiagnosed, untreated and undertreated hypertension in India among older adults. There is an urgent need of creating awareness programmes for the early identification of hypertensive cases and regular treatment, particularly in under-serviced rural India. Interventions should be made targeting specific population groups to tackle inequality in healthcare utilization.

Socio-demographic correlates of diabetes self-reporting validity: a study on the adult Kurdish population

BACKGROUND

In this research, data of the DehPCS study were used to assess the validity of self-reported diabetes based on the reference criteria, including the history of taking oral anti-diabetic drugs, insulin injection, or high fasting blood sugar.

METHODS

A cross-sectional analytical study was performed on 4400 participants of the DehPCS study, aged 35-70 years. The reference criteria were oral hypoglycemic drug consumption, insulin injection, and/ or fasting blood sugar ≥126 (mg/dl). The self-reporting diabetes was investigated by well-trained interviewers before the diabetes diagnosis based on the reference criteria. The validity of self-reporting diabetes was assessed using sensitivity, specificity, as well as positive and negative predictive values. Socio-demographic correlates of self-reported agreement were examined by multinomial logistic regression.

RESULTS

Three thousand nine hundred ninety-six people participated in this study, and the participation rate was equal to 90.8%. The diabetes prevalence among the study population was 13.1% based on self-reports and 9.7% based on the reference criteria. Five hundred twenty-three participants reported diabetes, 213 (41.28%) of whom did not have it. We found a good agreement of 92.3% with an acceptable kappa value of 65.1% between self-reporting diabetes and the reference criteria. Diabetes self-reporting also guaranteed sensitivity of 78.5%, specificity of 93.9%, as well as the positive and negative predictive values of 58.7% and of 98.0%, respectively. Being female, the higher economic class, the higher body mass index (BMI), and the positive family history of diabetes increased the chance of false positive. Being male, older ages and the moderate economic class increased the chance of false positive.

CONCLUSION

Self-reporting diabetes is identified as a relatively valid tool which could fairly determine the diabetes prevalence in epidemiological studies. It should be noted that its validity is influenced by some socio-demographic characteristics.

The influence of childhood socioeconomic status on non-communicable disease risk factor clustering and multimorbidity among adults in Botswana: a life course perspective

Childhood socioeconomic circumstances have a great influence on the health of individuals in adult life. We used cross-sectional data from a non-communicable disease (NCD) survey conducted in 2016, and respondents aged ≥15 y were selected from 3 cities/towns, 15 urban villages and 15 rural areas using a multistage probability-sampling technique. The total sample for the study was 1178. Two multinomial logistic regression models were fitted to data to ascertain the association between childhood socioeconomic status (SES) and NCD risk factor clustering and multimorbidity, using SPSS version 27. All comparisons were considered to be statistically significant at a 5% level. The prevalence of multiple NCD risk factors and multimorbidity was 30.1 and 5.3%, respectively. The odds of reporting NCD risk factor clustering were significantly high among individuals who reported low (adjusted OR [AOR]=1.88, 95% CI 1.21 to 2.78) and middle (AOR=1.22, 95% CI 1.02 to 2.05) childhood SES compared with high childhood SES. Conversely, individuals from a low SES background were more likely to report both single (AOR=1.17, 95% CI 1.00 to 2.01) and multiple NCD conditions (AOR=1.78, 95% CI 1.11 to 2.68) compared with those with a high childhood SES background. There is a need to stimulate policy debate and research to take cognisance of childhood socioeconomic circumstances in health policy planning.

Decomposing rural-urban differences in successful aging among older Indian adults

The modernization and shift towards urbanized lifestyles have triggered several diseases, and the context of aging varies in urban and rural settings in India. The study aimed to investigate the urban-rural differences in successful ageing among older adults in India and the contributing factors in those differences. The study utilizes data from nationally representative Longitudinal Ageing Study in India (LASI, 2017-18). The analytical sample size for the study was 31,464 older adults aged 60 years and above. Descriptive statistics and bivariate analysis were carried out to present the initial results. Multivariable logistic regression and decomposition analysis was used to find the associations between explanatory variables and successful aging and to identify the contributions of covariates that explain the rural-urban differences in successful ageing. A proportion of 32% and 24% of older adults from rural and urban areas were successful agers with an urban disadvantage. Urban-dwelling older adults had 0.67 times [95% confidence interval (CI): (0.64, 0.71)] lower unadjusted odds of successful ageing than rural older adults. Again, after adjusting for the effect of other explanatory variables, urban older adults had 0.92 times [CI: (0.87, 0.98)] lower odds of being successful agers than their rural counterparts. The major contributors to the rural-urban inequality in successful aging were differences in regional distribution (17% contribution), waist circumference (16%), working status (16%), body mass index (13%) and physical activity (8%) among rural and urban older adults. The urban disadvantage in aging successfully may reflect the higher prevalence of adverse lifestyle behaviours in urban dwellers and under-diagnosis and under-reporting of many diseases in rural areas, particularly non-communicable diseases, suggesting the need for further investigation.

Multimorbidity and its associated risk factors among older adults in India

Background

Health at older ages is a key public health challenge especially among the developing countries. Older adults are at greater risk of vulnerability due to their physical and functional health risks. With rapidly rising ageing population and increasing burden of non-communicable diseases older adults in India are at a greater risk for multimorbidities. Therefore, to understand this multimorbidity transition and its determinants we used a sample of older Indian adults to examine multimorbidity and its associated risk factors among the Indian older-adults aged 45 and above.

Methods

Using the sample of 72,250 older adults, this study employed the multiple regression analysis to study the risk factors of multimorbidity. Multimorbidity was computed based on the assumption of older-adults having one or more than one disease risks.

Results

Our results confirm the emerging diseases burden among the older adults in India. One of the significant findings of the study was the contrasting prevalence of multimorbidity among the wealthiest groups (AOR = 1.932; 95% CI = 1.824- 2.032). Similarly women were more likely to have a multimorbidity (AOR = 1.34; 95% CI = 1.282—1.401) as compared to men among the older adults in India.

Conclusion

Our results confirm an immediate need for proper policy measures and health system strengthening to ensure the better health of older adults in India.

Prevalence, factors and inequalities in chronic disease multimorbidity among older adults in India: analysis of cross-sectional data from the nationally representative Longitudinal Aging Study in India (LASI)

OBJECTIVE

This study examines the prevalence, patterns and factors of chronic disease-related multimorbidity. Also, this study examines the inequality in the prevalence of multimorbidity among older adults in India.

DESIGN

Cross-sectional study; large nationally representative survey data.

SETTING AND PARTICIPANTS

We have used the first wave of a Longitudinal Ageing Study in India conducted in 2017-2018 across all the 35 states (excluded Sikkim) and union territories in India. This study used information from 31 373 older people aged 60+years in India.

PRIMARY AND SECONDARY OUTCOME MEASURES

The outcome variable for this study is multimorbidity. The study used multinomial logistic regression to examine the risk factors for multimorbidity among older adults. To measure the inequality in multimorbidity, the slope of index inequality and relative index of inequality have been used to understand the ranked-based inequality.

RESULTS

Almost one-fourth (24.1%) reported multimorbidity. The relative risk ratio (RRR) of multimorbidity (RRR=2.12; 95% CI=1.49 to 3.04) was higher among higher educated older adults than uneducated older adults. Furthermore, the RRR of multimorbidity (RRR=2.35; 95% CI=2.02 to 2.74) was higher among urban older adults than their rural counterparts. Older adults in the richest wealth quintile were more likely to report multimorbidities (RRR=2.86; 95% CI=2.29 to 3.55) than the poorest older adults. Good self-rated health and no activities of daily living disability were associated with a lower risk of multimorbidities.

CONCLUSIONS

This study contributes to the comprehensive knowledge of the prevalence, factors and inequality of the chronic disease-related multimorbidity among older adults in India. Considering India's ageing population and high prevalence of multimorbidity, the older adults must be preferred in disease prevention and health programmes, however, without compromising other subpopulations in the country. There is a need to develop geriatric healthcare services in India. Additionally, there is a need to disseminate awareness and management of multimorbidity among urban and highly educated older adults.

Intersecting sex-related inequalities in self-reported testing for and prevalence of Non-Communicable Disease (NCD) risk factors in Kerala

BACKGROUND

Non-Communicable Diseases (NCDs) are among India's top burdens, particularly in states like Kerala, which is at an advanced stage of the epidemiological transition. Evidence in India points towards intersectional inequalities in risk factors of NCDs and testing, both of which are understudied in Kerala. We estimated the self-reported testing and prevalence of key NCD risk factors-blood pressure (BP) and blood glucose (BG) comparing Kerala men and women across educational, wealth, religion, as well as caste and tribal status subgroups.

METHOD

A multistage random sample survey of 3398 women and 2982 men aged 30 years and over was administered in 4 districts of Kerala from July to October 2019. Descriptive analysis for men and women was undertaken using survey weights. Slope index of Inequality and Relative Concentration Index for wealth and education related inequalities, and, Weighted Mean Difference from Mean and Index of Disparity for caste and tribal status, as well as religion related inequalities were calculated using World Health Organisation's Health Equity Assessment Toolkit Plus and Stata 12.

RESULTS

A significantly higher proportion of women reported BP and BG testing by medical personnel in the previous year than men (BP Testing among Women (BPT_w): 90.3% vs BP Testing among Men (BPT_M):80.8%, BG Testing among Women (BGT_w): 86.2% vs BG Testing among Women (BGT_M):78.3%). Among those tested, more women (11.2%) than men (7.9%) reported High Blood Pressure (HBP) but not High Blood Glucose (HBG). Testing for BP was concentrated among less-educated women while BG testing was concentrated among both less educated women and men. HBP and HBG were concentrated among less educated and wealthier groups. Although sex differences were insignificant across caste and tribal status and religion subgroups, magnitude of inequalities was high for HBP and HBG.

CONCLUSION

Distinct patterns of sex inequalities were present in self-reported testing and prevalence of NCD risk factors in Kerala. Education and wealth seem to be associated with testing while prevalence appeared to vary by religious groups. Given the low rates of illiteracy, it is encouraging but maybe a data artefact that a small population of less-educated persons was getting tested; however, exclusion of poor groups and inequalities by other dimensions raise concerns. Further exploration is needed to understand underlying mechanisms of these inequalities to ensure we leave no one behind.

A cross-sectional study of potentially modifiable risk factors for dementia and cognitive function in India: A secondary analysis of 10/66, LASI, and SAGE data

OBJECTIVES

Dementia is rising globally, particularly in low-and-middle-income countries. India has almost four million people living with dementia, set to double by 2050. Targeting nine potentially modifiable risk factors (less education, hearing impairment, depression, physical inactivity, hypertension, obesity, smoking, diabetes, and social isolation) could possibly prevent or delay many dementias. We aimed for the first time to examine risk factors for dementia in India and their link with cognitive status and dementia, to inform prioritisation of public health interventions that could prevent or delay dementia.

METHODS

We conducted a cross-sectional analysis using three studies: 10/66 Dementia Study (n = 2004), Longitudinal Aging Study of India (n = 386), and Study of Global Ageing (n = 2441). Our exposures were the nine risk factors above. We calculated a cognitive z-score within each study and used dementia diagnosis in 10/66. We adjusted for socioeconomic factors, age, and sex using multivariable linear for cognition and logistic regression for dementia.

RESULTS

Less education, hearing impairment, depression, and physical inactivity were associated with lower z-scores and increased odds of dementia. Obesity was associated with higher z-score and lower odds of dementia. Social isolation was associated with lower z-scores and decreased odds of dementia. Results for smoking, diabetes, and hypertension were inconsistent.

CONCLUSION

Our risk estimates were larger for less education, hearing impairment and physical inactivity compared to global estimates and should be intervention priorities. This study highlights the need for longitudinal studies to clarify the relationship between these potentially modifiable risk factors and dementia in India.

Educational differences in diabetes and diabetes self-management behaviours in WHO SAGE countries

Background

Diabetes mellitus represents a substantial global health challenge, with prevalence rising in low- and middle-income countries (LMICs). Although diabetes is known to follow a socioeconomic gradient, patterns in LMICs are unclear. This study examined associations between education and diabetes, and diabetes self-management behaviours, in six LMICs.

Methods

Cross-sectional data for 31,780 participants from China, Ghana, India, Mexico, Russia, and South Africa from the World Health Organization Study on Global AGEing and adult health (SAGE) study were used. Participants aged ≥50 years completed face-to-face interviews between 2007 and 2010. Participants self-reported diabetes diagnosis, physical activity, sedentary time, fruit and vegetable consumption, any special diet/program for diabetes, whether they were taking insulin for diabetes and number of years of education. Height, weight, waist, and hip circumference were measured. Country-specific survey-weighted log-binomial regression models were fitted to examine associations between the number of years of education and self-reported diabetes diagnosis (primary analysis). In secondary analyses, among those with a self-reported diabetes diagnosis, generalised linear regression models were fitted to examine associations between education and i) physical activity, ii) sedentary time, iii) fruit and vegetable consumption, iv) special diet for diabetes, v) taking insulin, vi) BMI, vii) waist circumference and viii) hip circumference.

Results

There was strong evidence of an association between years of education and diabetes diagnosis in Ghana (RR = 1.09, 95% CI: 1.06–1.13) and India (RR = 1.09, 95% CI: 1.07–1.12) only. In India, greater years of education was associated with higher leisure physical activity, fruit and vegetable intake, rates following a special diet or taking insulin, but also higher mean BMI, waist and hip circumference. Relationships between education and self-management behaviours were rarely seen in the other countries.

Conclusions

Associations between education and diabetes, and behavioural self-management (India only) was more evident in the two least developed (Ghana and India) of the WHO SAGE countries, indicating increasing diabetes diagnosis with greater numbers of years of education. The lack of gradients elsewhere may reflect shifting risk from higher to lower educated populations. While there was some suggestion that self-management behaviours were greater with increased education in India, this was not observed in the other countries.

Supplementary Information

The online version contains supplementary material available at 10.1186/s12889-021-12131-7.

Understanding socio-economic inequalities in the prevalence of asthma in India: an evidence from national sample survey 2017-18

Background

Today, over 300 million people reside with asthma worldwide and India alone is home for 6% of children and 2% of adults suffering from this chronic disease. A common notion of disparity persists in terms of health outcomes across the poor and better-off section of the society. Thus, there is a need to explore socio-economic inequality in the contribution of various factors associated with asthma prevalence in India.

Methods

Data for the study were carved out from the 75th round of National Sample Survey (NSS), collected by the National Sample Survey Organization (NSSO) during 2017–18. The sample size for this study was 555,289 individuals, for which data was used for the analysis. Descriptive statistics were used to show the distribution of the study population. Further, bivariate and multivariate analysis was performed to identify the factors associated with Asthma prevalence. The concentration index was used to measure the inequality. Further, we used decomposition analysis to find the contribution of factors responsible for socio-economic status-related inequality in asthma prevalence.

Results

The prevalence of asthma was 2 per 1000 in the whole population; however, the prevalence differs by age groups in a significant manner. Age, sex, educational status, place of residence, cooking fuel, source of drinking water, household size and garbage disposal facility were significantly associated with asthma prevalence in India. It was found that asthma was more concentrated among individuals from higher socioeconomic status (concentration index: 0.15; p < 0.05). While exploring socio-economic inequality for asthma, richest wealth status (53.9%) was the most significant contributor in explaining the majority of the inequality followed by the urban place of residence (37.9%) and individual from age group 45–65 years (33.3%). Additionally, individual aged 65 years and above (27.9%) and household size less than four members (14.7%) contributed in explaining socio-economic inequality for asthma.

Conclusion

Due to the heterogeneous nature of asthma, associations between different socio-economic indicators and asthma can be complex and may point in different directions. Hence, considering the concentration of asthma prevalence in vulnerable populations and its long-term effect on general health, a comprehensive programme to tackle chronic respiratory diseases and asthma, in particular, is urgently needed.

Chronic Diseases and Labor Force Participation Among Presenile and Senile Chinese

Background: The incidence of chronic diseases has increased dramatically due to rapid aging and lifestyle changes of China in recent decades. The population aged more than 45 years is an important participant in the labor force market, and the health status directly affects their labor force participation decision. This study aims to explore the relationship between chronic diseases and the labor force participation among the elderly Chinese population aged more than 45 years.

Method: We employ a multivariate probit (MVP) model to construct five structural equations for an analysis. The advantage of this model is that it can deal with the endogeneity of chronic diseases.

Results: Firstly, compared with the elderly, younger people are more likely to participate in the labor force market; the influence of chronic diseases is the largest for presenile women in the decision-making of labor force participation; the impact of psychological problems on labor force participation cannot be ignored, especially for men aged more than 45 years. In addition, sociodemographic factors such as geographical location and marital status also have direct effects on the probability of labor force participation while the impact of both family wealth and family number is much smaller. Finally, unhealthy lifestyles through chronic diseases have negative and indirect marginal effects on labor force participation.

Conclusions: This article proves that chronic diseases have a negative impact on the labor force participation for Chinese aged more than 45 years. The public should give more tolerance and opportunities to these groups. The population aged more than 45 years are more vulnerable and face more psychological problems, which will lead to a decline in labor force participation. Psychological health counseling and services are urgently needed. As the urban areas enjoy more social welfare, Chinese welfare policy needs to be tilted toward the rural elderly. For individuals, maintaining healthy lifestyles can help you stay away from chronic diseases and stay in the labor force market.

Global socioeconomic inequality in the burden of communicable and non-communicable diseases and injuries: an analysis on global burden of disease study 2019

BACKGROUND

Examining the distribution of the burden of different communicable and non-communicable diseases and injuries worldwide can present proper evidence to global policymakers to deal with health inequality. The present study aimed to determine socioeconomic inequality in the burden of 25 groups of diseases between countries around the world in 2019.

METHODS

In the current study data according to 204 countries in the world was gathered from the Human Development Report and the Global Burden of Diseases study. Variables referring to incidence, prevalence, years of life lost (YLL), years lived with disability (YLD) and disability adjusted life years (DALY) resulting by 25 groups of diseases and injuries also human development index was applied for the analysis. For measurement of socioeconomic inequality, concentration index (CI) and curve was applied. CI is considered as one of the popular measures for inequality measurement. It ranges from - 1 to + 1. A positive value implies that a variable is concentrated among the higher socioeconomic status population and vice versa.

RESULTS

The findings showed that CI of the incidence, prevalence, YLL, YLD and DALY for all causes were - 0.0255, - 0.0035, - 0.1773, 0.0718 and - 0.0973, respectively. CI for total Communicable, Maternal, Neonatal, and Nutritional Diseases (CMNNDs) incidence, prevalence, YLL, YLD and DALY were estimated as - 0.0495, - 0.1355, - 0.5585, - 0.2801 and - 0.5203, respectively. Moreover, estimates indicated that CIs of incidence, prevalence, YLL, YLD and DALY for Non-Communicable Diseases (NCDs) were 0.1488, 0.1218, 0.1552, 0.1847 and 0.1669, respectively. Regarding injuries, the CIs of incidence, prevalence, YLL, YLD and DALY were determined as 0.0212, 0.1364, - 0.1605, 0.1146 and 0.3316, respectively. In the CMNNDs group, highest and lowest CI of DALY were related to the respiratory infections and tuberculosis (- 0.4291) and neglected tropical diseases and malaria (- 0.6872). Regarding NCDs, the highest and lowest CI for DALY is determined for neoplasms (0.3192) and other NCDs (- 0.0784). Moreover, the maximum and minimum of CI of DALY for injuries group were related to the transport injuries (0.0421) and unintentional injuries (- 0.0297).

CONCLUSIONS

The distribution of all-causes and CMNNDs burden were more concentrated in low-HDI countries and there are pro-poor inequality. However, there is a pro-rich inequality for NCDs' burden i.e. it was concentrated in high-HDI countries. On the other hand, the concentration of DALY, YLD, prevalence, and incidence in injuries was observed in the countries with higher HDI, while YLL was concentrated in low-HDI countries.

Socioeconomic determinants and inequalities in the prevalence of non-communicable diseases in Saudi Arabia

BACKGROUND

Non-communicable diseases (NCDs) are increasingly becoming a challenge worldwide, causing high mortality and morbidity. Saudi Arabia has one of the highest rates of NCDs globally and the highest in the Arabian Gulf region. Epidemiological data indicate that NCDs are responsible for 70 % of all deaths in Saudi Arabia. The aim of this study was to examine the socioeconomic determinants and inequalities in the prevalence of NCDs in Saudi Arabia.

METHODS

Data from the Saudi Family Health Survey conducted in 2018 by the General Authority for Statistics were used for this study. Univariate, bivariate, and multivariate logistic regression analyses were employed to examine the socioeconomic factors associated with the prevalence of NCDs. Moreover, the concentration curve and concentration indices were used to assess inequalities in the prevalence of NCDs.

RESULTS

Among the 11,527 respondents, the prevalence of NCDs was 32.15 %. The prevalence of NCDs was higher among women and among elderly respondents aged ≥ 60 years. With respect to the determinants of the prevalence of NCDs, the logistic regression results showed that the likelihood of reporting NCDs was lower among people with a higher education (OR: 0.599, 95 % CI: 0.497-0.723, p < 0.01) compared with that of people with an education below the primary school level. Other factors significantly associated with the prevalence of NCDs were age, marital status, nationality, and region of residence. The inequality analysis showed that at the national level, the prevalence of NCDs was concentrated among less educated people (concentration index = - 0.338, p < 0.01), but with significant regional variations. Gender disaggregation showed that both income-based and education-based concentration indices were significantly negative among women, indicating that the prevalence of NCDs is concentrated among women with a lower income level and with less education.

CONCLUSIONS

The findings of this study are important for policymakers to combat both the increasing prevalence of and socio-economic inequalities in NCDs. The government should develop targeted intervention strategies to control NCDs and achieve health equality considering socio-economic status. Future policies should target women and the lower educated population in Saudi Arabia.

Is there an association between public spending on health and choice of healthcare providers across socioeconomic groups in India? - Evidence from a national sample

The role of public spending on health in reducing socioeconomic inequalities in healthcare is an emerging area of research, little supporting empirical evidence is available from low- and middle-income countries. This study examined: (1) the relationship between public spending on health per capita and the decision whether to seek healthcare or not, (2) the relationships between public spending on health per capita and choice of medical provider, and (3) whether these relationships varied by socioeconomic groups in India. Our study utilized the nationally representative 71st National Sample Survey of India, using 26,142 people who had been ailing in the past 15 days, the survey took place between the 1st of January and June 30, 2014. Two regression-based approaches were used to examine the association between public spending and choice of medical providers: (1) Multilevel multinomial regression; and (2) Instrumental variable regression. We examined the differential impacts of public spending on healthcare utilisation by socioeconomic groups. Increased public spending on health was not associated with changes in ailing people's decision whether to seek care or not (p > 0.05 in all analyses). However, increased public spending on health was associated with reductions in patients choosing private medical providers [adjusted odds ratio = 0.88 (95%CI 0.85-0.91) for outpatient private clinics] compared to outpatient government clinics. These associations may be greater among the lower economic groups compared with their counterparts. Across India, higher levels of government investment in health services are recognised by healthcare users and shown in their pattern of healthcare utilisation. That an increase in public spending on health results in a decrease in the use of private providers, particularly outpatient facilities with no inpatient capabilities, provides strong evidence for the effectiveness of 'regulation by competition'. This is a strong argument for focusing health system strengthening, and strategies for achieving universal healthcare on public investment.

Socioeconomic inequality in noncommunicable diseases: Results from a baseline Persian cohort study

Background: Contrary to health indices advancement during recent years, health inequalities are still a global challenge. This study aimed to determine socioeconomic factors for noncommunicable diseases using concentration indices (CI).

Methods: This cross-sectional study was conducted on the baseline data from a cohort study in Fasa (southern Iran). Principle component analysis was used to measure asset index. Moreover, socioeconomic inequalities were calculated by CI. Analysis was done at 95% confidence level using STATA software.

Results: A total of 7990 individuals were included in the study. The highest negative CIs were significantly found for epilepsy (-0.334), paramnesia (-0.255), and learning disabilities (-0.063), respectively, and the lowest were significantly found for chronic headaches (-0.046), recurrent headaches (-0.03), infertility (-0.028) and hypertension (-0.057). This index was positive for breast cancer (0.298). Furthermore, it was not Significant for diabetes, thyroid disorders, depression, and chronic lung diseases.

Conclusion: The findings showed a significant inequality in the most of the noncommunicable diseases in the region, which are more concentrated among the poorest population. Policymakers in the health system and city planners should consider these results to decrease the burden of noncommunicable diseases in the society by identifying vulnerable subcategories.

Prevalence of Diabetes, Prediabetes, and Associated Risk Factors Among Agricultural Village Residents in the Dominican Republic

This study examined the prevalence and risk factors of prediabetes and type 2 diabetes among residents of agricultural settlement villages (bateyes) in the Dominican Republic. From March to April 2016, a cross-sectional, multi-stage cluster survey was conducted across the country's three agricultural regions (southwest, east, and north). At selected households, an adult completed a questionnaire to assess demographics, diabetes knowledge, and care, and two household residents of any age provided finger-prick blood samples that were analyzed for hemoglobin A1c (HbA1c). HbA1c was categorized as normal (< 5.7%), prediabetic (5.7-6.4%), or diabetic (≥ 6.5%). The prevalence rates of diabetes and prediabetes were 8.6% (95% confidence interval [CI], 6.2-11.8%) and 20.4% (95% CI, 17.9-23.2%), respectively, among all participants (N = 1293; median age, 35 years; range, 2-96 years), and 10.0% (95% CI, 7.2-13.8%) and 20.0% (95% CI, 17.4-23.0%), respectively, among adults 18 years or older (N = 730). The average age of participants with diabetes was 47.2 years. The average age of participants with prediabetes was 40.7 years. Among adult questionnaire respondents, 64.8% of all participants and 39.4% of patients with diabetes had not been tested for diabetes previously. Among patients with diabetes, 28.4% were previously diagnosed; 1.2% of prediabetes patients were previously diagnosed. Half (50.7%) of the respondents had heard of diabetes. The majority (94.1%) of patients previously diagnosed with diabetes reported using diabetes medication. Among both undiagnosed and previously diagnosed patients with diabetes, diabetes knowledge, previous diabetes testing, and diabetes care-seeking were lowest among Haitian-born participants. A high burden of undiagnosed diabetes and deficiencies in diabetes knowledge, access to care, and diagnosis exist among all batey inhabitants, but most acutely among Haitians. Improvements will require a multi-sectoral approach.

Association of self-perceived income sufficiency with cognitive impairment among older adults: a population-based study in India

BACKGROUND

Greater cognitive performance has been shown to be associated with better mental and physical health and lower mortality. The present study contributes to the existing literature on the linkages of self-perceived income sufficiency and cognitive impairment. Study also provides additional insights on other socioeconomic and health-related variables that are associated with cognitive impairment in older ages.

METHODS

Data for this study is derived from the 'Building Knowledge Base on Population Ageing in India'. The final sample size for the analysis after removing missing cases was 9176 older adults. Descriptive along with bivariate analyses were presented to show the plausible associations of cognitive impairment with potential risk factors using the chi-square test. Also, binary logistic regression analysis was performed to provide the relationship between cognitive impairment and risk factors. The software used was STATA 14.

RESULTS

About 43% of older adults reported that they had no source of income and 7.2% had income but not sufficient to fulfil their basic needs. Older adults with income but partially sufficient to fulfil their basic needs had 39% significantly higher likelihood to suffer from cognitive impairment than older adults who had sufficient income [OR: 1.39; OR: 1.21-1.59]. Likelihood of cognitive impairment was low among older adults with asset ownership than older adults with no asset ownership [OR: 0.83; CI: 0.72-0.95]. Again, older adults who work by compulsion (73.3%) or felt mental or physical stress due to work (57.6%) had highest percentage of cognitive impairment. Moreover, older adults with poor self-rated health, low instrumental activities of daily living, low activities of daily living, low subjective well-being and low psychological health were at increased risk for cognitive impairment.

CONCLUSION

The study highlights the pressing need for care and support and especially financial incentives in the old age to preserve cognitive health. Further, while planning geriatric health care for older adults in India, priority must be given to financially backward, with no asset ownership, with poor health status, older-older, widowed, and illiterate older individuals, as they are more vulnerable to cognitive impairment.

Socio-Economic and Demographic Correlates of Non-communicable Disease Risk Factors Among Adults in Saudi Arabia

Background: Over the past two decades, Saudi Arabia has made significant improvements in its population's health standards. These improvements have been coupled with an increase in risk factors related to non-communicable diseases (NCD) and a dramatic shift in the burden of disease profile. This study aims to provide empirical evidence on the socio-economic and demographic correlates of NCD risk factors among adults in Saudi Arabia.

Methods: The data used for this study is secondary data derived from the Saudi Health Interview Survey (SHIS) conducted in 2013. The SHIS used a cross-sectional survey design to derive a multistage representative sample of adults to estimate the prevalence of NCD risk factors. Risk factors considered for analyses in this study were; current tobacco use, low fruit and vegetable consumption, low physical activity, overweight/obesity and hypertension. The survey covered all regions in Saudi Arabia using probability proportional to size measures. A total of 10,735 adults aged 15 years and above completed the survey questionnaire. Logistic regression analysis was conducted to examine the socio-economic and demographic correlates of NCD risk factors among adults in Saudi Arabia.

Results: The prevalence of NCD risk factors were as follows: current tobacco use, 12.1%; low fruit and vegetable consumption, 87%; low physical activity, 94.9%; overweight/obesity 65.1%; and hypertension, 37.5%. The multivariate analysis results indicate that significant correlates of overweight/obesity and hypertension were being female, a government employee, income level, and education levels. On the other hand, current tobacco use and low fruit and vegetable consumption were generally associated with age, self-employment and being a student. For lifestyle factors, overweight/obesity was high among individuals who reported low fruit and vegetable consumption, while hypertension was high among current tobacco users and overweight/obese adults. All comparisons were statistically significant at p < 0.05.

Conclusions: This study's findings indicate a high prevalence of chronic NCD risk factors in Saudi Arabia's adult population. This study implied that there is a need for a reduction in life-damaging behaviors among the adults through the adoption of healthy lifestyles such as physical activity and nutritious diets. Moreover, a reduction in the prevalence of chronic NCD risk factors among different socio-economic groups in Saudi Arabia through healthy lifestyles will have far-reaching results.

Impact of non-communicable disease multimorbidity on health service use, catastrophic health expenditure and productivity loss in Indonesia: a population-based panel data analysis study

OBJECTIVES

To examine non-communicable diseases (NCDs) multimorbidity level and its relation to households' socioeconomic characteristics, health service use, catastrophic health expenditures and productivity loss.

DESIGN

This study used panel data of the Indonesian Family Life Survey conducted in 2007 (Wave 4) and 2014 (Wave 5).

SETTING

The original sampling frame was based on 13 out of 27 provinces in 1993, representing 83% of the Indonesian population.

PARTICIPANTS

We included respondents aged 50 years and above in 2007, excluding those who did not participate in both Waves 4 and 5. The total number of participants in this study are 3678 respondents.

PRIMARY OUTCOME MEASURES

We examined three main outcomes; health service use (outpatient and inpatient care), financial burden (catastrophic health expenditure) and productivity loss (labour participation, days primary activity missed, days confined in bed). We applied multilevel mixed-effects regression models to assess the associations between NCD multimorbidity and outcome variables, RESULTS: Women were more likely to have NCD multimorbidity than men and the prevalence of NCD multimorbidity increased with higher socioeconomic status. NCD multimorbidity was associated with a higher number of outpatient visits (compared with those without NCD, incidence rate ratio (IRR) 4.25, 95% CI 3.33 to 5.42 for individuals with >3 NCDs) and inpatient visits (IRR 3.68, 95% CI 2.21 to 6.12 for individuals with >3 NCDs). NCD multimorbidity was also associated with a greater likelihood of experiencing catastrophic health expenditure (for >3 NCDs, adjusted OR (aOR) 1.69, 95% CI 1.02 to 2.81) and lower participation in the labour force (aOR 0.23, 95% CI 0.16 to 0.33) compared with no NCD.

CONCLUSIONS

NCD multimorbidity is associated with substantial direct and indirect costs to individuals, households and the wider society. Our study highlights the importance of preparing health systems for addressing the burden of multimorbidity in low-income and middle-income countries.

Horizontal inequity in self-reported morbidity and untreated morbidity in India: Evidence from National Sample Survey Data

BACKGROUND

Health outcomes in India are characterized by pervasive inequities due to deeply entrenched socio-economic gradients amongst the population. Therefore, it is imperative to investigate these systematic disparities in health, however, evidence of inequities does not commensurate with its policy objectives in India. Thus, our paper aims to examine the magnitude of and trends in horizontal inequities in self-reported morbidity and untreated morbidity in India over the period of 2004 to 2017-18.

METHODS

The study used cross-sectional data from nationwide healthcare surveys conducted in 2004, 2014 and 2017-18 encompassing sample size of 3,85,055; 3,35,499 and 5,57,887 individuals respectively. Erreygers concentration indices were employed to discern the magnitude and trend in horizontal inequities in self-reported morbidity and untreated morbidity. Need standardized concentration indices were further used to unravel the inter-regional and intra-regional income related inequities in outcomes of interest. Additionally, regression based decomposition approach was applied to ascertain the contributions of both legitimate and illegitimate factors in the measured inequalities.

RESULTS

Estimates were indicative of profound inequities in self-reported morbidity as inequity indices were positive and significant for all study years, connoting better-off reporting more morbidity, given their needs. These inequities however, declined marginally from 2004(HI: 0.049, p< 0.01) to 2017-18(HI: 0.045, P< 0.01). Untreated morbidity exhibited pro-poor inequities with negative concentration indices. Albeit, significant reduction in horizontal inequity was found from 2004(HI= - 0.103, p< 0.01) to 2017-18(HI = - 0.048, p< 0.01) in treatment seeking over the years. The largest contribution of inequality for both outcomes stemmed from illegitimate variables in all the study years. Our findings also elucidated inter-state heterogeneities in inequities with high-income states like Andhra Pradesh, Kerala and West Bengal evincing inequities greater than all India estimates and Northeastern states divulged equity in reporting morbidity. Inequities in untreated morbidity converged for most states except in Punjab, Chhattisgarh and Himachal Pradesh where widening of inequities were observed from 2004 to 2017-18.

CONCLUSIONS

Pro-rich and pro-poor inequities in reported and untreated morbidities respectively persisted from 2004 to 2017-18 despite reforms in Indian healthcare. Magnitude of these inequities declined marginally over the years. Health policy in India should strive for targeted interventions closing inequity gap.

Differences between self-reported and laboratory measures of diabetes, chronic kidney disease, and hypercholesterolemia

This paper aims to compare the self-reported prevalence measured by laboratory tests and the false positive and negative values for diabetes, chronic kidney disease, and hypercholesterolemia. We used information from the interview and laboratory tests of the National Health Survey (2013, 2014-2015). Sensitivity and specificity were calculated by gender, age, schooling, having health insurance, and time since the last medical visit. We used logistic regression to analyze associated factors with false positives and negatives. Sensitivity was higher for diabetes and among older adults and those who had a medical visit more recently. Specificity was high for all diseases, with better performance among younger people, those with high schooling, and a visit more than one year ago. The likelihood of false positives and negatives decreased with schooling and increased with age. Low sensitivity suggests that prevalence might be higher than indicated by self-reported measures.

Assessing cardiovascular disease risk factor screening inequalities in India using Lot Quality Assurance Sampling

Background

Cardiovascular diseases (CVDs) are the leading cause of mortality in India. India has rolled out Comprehensive Primary Health Care (CPHC) reforms including population based screening for hypertension and diabetes, facilitated by frontline health workers. Our study assessed blood pressure and blood sugar coverage achieved by frontline workers using Lot Quality Assurance Sampling (LQAS).

Methods

LQAS Supervision Areas were defined as catchments covered by frontline workers in primary health centres in two districts each of Uttar Pradesh and Delhi. In each Area, 19 households for each of four sampling universes (males, females, Above Poverty Line (APL) and Below Poverty Line (BPL)) were visited using probability proportional to size sampling. Following written informed consent procedures, a short questionnaire was administered to individuals aged 30 or older using tablets related to screening for diabetes and hypertension. Using the LQAS hand tally method, coverage across Supervision Areas was determined.

Results

A sample of 2052 individuals was surveyed, median ages ranging from 42 to 45 years. Caste affiliation, education levels, and occupation varied by location; the sample was largely married and Hindu. Awareness of and interaction with frontline health workers was reported in Uttar Pradesh and mixed in Delhi. Greater coverage of CVD risk factor screening (especially blood pressure) was seen among females, as compared to males. No clear pattern of inequality was seen by poverty status; some SAs did not have adequate BPL samples. Overall, blood pressure and blood sugar screening coverage by frontline health workers fell short of targeted coverage levels at the aggregate level, but in all sites, at least one area was crossing this threshold level.

Conclusion

CVD screening coverage levels at this early stage are low. More emphasis may be needed on reaching males. Sex and poverty related inequalities must be addressed by more closely studying the local context and models of service delivery where the threshold of screening is being met. LQAS is a pragmatic method for measuring program inequalities, in resource-constrained settings, although possibly not for spatially segregated population sub-groups.

Supplementary Information

The online version contains supplementary material available at 10.1186/s12913-020-05914-y.

Cardiovascular health and validation of the self-reported score in Brazil: analysis of the National Health Survey

This paper aims to estimate the prevalence of cardiovascular health and the validity of the Brazilian population's self-reported score. This is a cross-sectional, methodological study with 8,943 individual adults and laboratory data from the 2013 National Health Survey. We employed behavioral (body mass index, tobacco use, diet, physical activity, ideal if ≥ 3 ideal factors), biological (tobacco use, dyslipidemia, hypertension, and diabetes, ideal if ≥ 3 ideal factors), and cardiovascular health scores (all factors, ideal if ≥ 4 ideal factors). Prevalence of sensitivity and specificity scores and analyses of the self-reported scores were estimated, considering the scores with measured variables as the gold standard. Approximately 56.7% of individuals had ideal values for the measured cardiovascular health score. Sensitivity was 92% and specificity 30% for the self-reported biological score. Sensitivity and specificity scores were, respectively, 90.6% and 97.2% for self-reported behavior. The self-reported cardiovascular health score had a sensitivity of 92.4% and specificity of 48.5%. A little over half of the population had an ideal cardiovascular health score. The self-reported score showed good sensitivity and lower proportions of specificity.