Decomposing gender inequalities in self-assessed health status in Liberia

Self-rated health and sociodemographic inequalities among Venezuelan adults: a study based on the National Survey of Living Conditions (ENCOVI 2021)

Self-rated health is an indicator that can be easily identified in health surveys, widely used to measure physical, social, mental, and health aspects of the population, and predict premature mortality. In Venezuela, this information only began to be collected recently, in the National Survey of Living Conditions (ENCOVI). In this context, our study aims to analyze the demographic and socioeconomic factors associated with non-positive self-rated health among Venezuelan adults. The ENCOVI 2021 (n = 16,803) was used as a data source, assessing a probability stratified sample with questions about health, education, emigration, and other social and economic aspects. Crude and adjusted prevalence ratio analyses were performed using Poisson regression models with robust variance. The prevalence of fair/bad self-rated health among Venezuelans was 17.8%. The results indicated a strong association between outcome prevalence and age group, 3.81 times higher (95%CI: 3.29-4.41) among individuals aged 60 or more when compared to individuals aged 18 to 29 years. Also, participants experiencing severe food insecurity had a prevalence 2 times higher (95%CI: 1.61-2.47) than those who did not have any level of food insecurity. Factors such as poverty, education, recent emigration of family members, and sex also showed a significant influence, also when analyzed independently. The results show that special attention should be dedicated to the health of individuals facing hunger and of the older people.

Self-rated health according to sex and associated factors in Manaus, Brazil, 2019: a population-based cross-sectional study

OBJECTIVE

To assess the prevalence and factors associated with poor self-rated health according to respondents' sex in Manaus, Brazil.

METHODS

This was a cross-sectional population-based study with adults in Manaus in 2019. Adjusted prevalence ratios and 95% confidence intervals (95%CI) were calculated using Poisson regression following a hierarchical model.

RESULTS

Poor self-rated health occurred in 35.2% (95%CI 33.3;37.2) of the 2,321 participants and was higher in females (PR = 1.27; 95%CI 1.13;1.43). In the general population, among both sexes, poor self-rated health was higher among the oldest, those with moderate and severe food insecurity and with chronic diseases (p-value < 0.05). Among females, poor health was also higher among the evangelical and those with mild food insecurity. Among males, self-rated health was also poorer among the retired and those with education below elementary level (p-value < 0.001).

CONCLUSION

The female sex had the poorest health rating, influenced by morbidity and access to food.

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

BACKGROUND

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

METHODS

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

RESULTS

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

CONCLUSION

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

Sex inequality in under-five deaths and associated factors in low and middle-income countries: a Fairlie decomposition analysis

Background

There exist sex disparities in the burden of Under-five deaths (U5D) with a higher prevalence among male children. Factors explaining this inequality remain unexplored in Low-and Medium-Income Countries (LMIC). This study quantified the contributions of the individual- and neighborhood-level factors to sex inequalities in U5D in LMIC.

Methods

Demographic and Health Survey datasets (2010-2018) of 856,987 under-five children nested in 66,495 neighborhoods across 59 LMIC were analyzed. The outcome variable was U5D. The main group variable was the sex of the child while individual-level and neighborhood-level factors were the explanatory variables. Fairlie decomposition analysis was used to quantify the contributions of explanatory factors to the male-female inequalities in U5D at p<0.05.

Results

Overall weighted prevalence of U5D was 51/1000 children, 55 among males and 48 among females (p<0.001). Higher prevalence of U5D was recorded among male children in all countries except Liberia, Kyrgyz Republic, Bangladesh, Nepal, Armenia, Turkey and Papua New Guinea. Pro-female inequality was however not significant in any country. Of the 59 countries, 25 had statistically significant pro-male inequality. Different factors contributed to the sex inequality in U5D in different countries including birth order, birth weight, birth interval and multiple births.

Conclusions

There were sex inequalities in the U5D in LMIC with prominent pro-male-inequality in many countries. Interventions targeted towards the improvement of the health system that will, in turn, prevent preterm delivery and improve management of prematurity and early childhood infection (which are selective threats to the male child survival) are urgently required to address this inequality.

Black Lives Matter: A Decomposition of Racial Inequalities in Oral Cancer Screening

Simple Summary

Black Lives Matter has highlighted the increased social discrepancies that exist not only in the context of social justice but also in public health. Oral cancer screening is not exempt from disparity, with Black Americans less likely to seek screening leading to higher incidence and worse outcomes of oropharyngeal cancers. We investigate interaction analysis and Blinder–Oaxaca decomposition as tools to guide policy to address this disparity. Using National Health and Nutrition Examination Survey (NHANES) data from 2011–2018 we find that being both in poverty and Black results in sub-additive interaction, which is further deconstructed into differences in higher education levels and poverty status.

Abstract

(1) Background: The Black Lives Matter movement has highlighted the discrepancies in public health in regard to race. This study aims to investigate tools that can be used to analyze and investigate this discrepancy, which can be applied to policymaking. (2) Methods: National Health and Nutrition Examination Survey (NHANES) data from 2011–2018 was combined (N = 22,617) to investigate discrepancies of oral cancer screening in Black Americans. We give examples of counterfactual techniques that can be used to guide policy. Inverse probability treatment weighting (IPTW) was used to remove all measured confounding in an interaction analysis to assess the combined effect of socioeconomic status and race. Blinder–Oaxaca decomposition was then used to investigate the intervenable factors associated with differences in race. (3) Results: Sub-additive interaction was found on additive and multiplicative scales when all measured confounding was removed via IPTW (relative excess risk due to interaction (RERI)(OR) = −0.55 (−0.67–−0.42)). Decomposition analysis found that 32% of the discrepancy could be explained by characteristics of higher education and poverty status. (4) Conclusions: Black Americans in poverty are less likely to seek oral cancer screening than the additive likelihood would suggest. Blinder–Oaxaca decomposition is a strong tool to use for guiding policy as it quantifies clear breakdowns of what intervenable factors there are that would improve the discrepancy the most.

Social participation and urban-rural disparity in mental health among older adults in China

OBJECTIVE

This study aimed to explore the effect of social participation on disparity in mental health among urban and rural older adults in China.

METHODS

The data used in this study was sourced from the 2014 wave of Chinese Longitudinal Healthy Longevity Survey (CLHLS). Furthermore, multiple linear regression model was adopted to analyze the effect of social participation on mental health. Moreover, Oaxaca-Blinder decomposition for linear model was applied to explore the effect of social participation on urban-rural disparity in mental health.

RESULTS

The regression result indicates that social participation significantly improved cognitive ability and psychological health for urban and rural older adults, and its health effect was significantly stronger for rural older adults. Furthermore, the Oaxaca-Blinder decomposition result reveals that approximately 18% of cognitive ability disparity could be attributed to urban-rural disparity in social participation. Moreover, urban-rural disparity in social participation could explain about 11% of psychological health disparity.

CONCLUSION

Urban older adults had better mental health than their rural counterparts. Furthermore, social participation was beneficial for mental health for urban and rural older adults. Urban-rural disparity in social participation made an important contribution to mental health disparity between urban and rural older adults. The results of this study emphasized the importance of social participation of older adults.