Underpinnings of entangled ethnical and gender inequalities in obesity in Cochabamba-Bolivia: an intersectional approach

[Nutritional status in Ecuadorian adults and its distribution according to socio-demographic characteristics. A cross-sectional study]

Introduction

Introduction: 30 % of the world population currently has overweight and obesity problems, while in Ecuador this is 64.68 %. The identification of population groups more vulnerable to overweight and obesity is a basic issue to establish better public policies. Objective: to identify the population groups at risk of overweight and obesity according to socio-demographic determinants (ethnicity, marital status, poverty and age). Methods: a cross-sectional study. Data from 89,212 adults of both sexes were analyzed. Body mass index (BMI) was used to assess the prevalence of overweight and obesity, and multiple linear regression analysis was performed to relate BMI to sociodemographic determinants. Results: women had an average of 1.03 kg/m2 more than men, and BMI rose by 0.04 kg/m2 for each year of age. In relation to marital status, married people presented 1.14 kg/m2 more than single people. Taking into account the poverty quintiles and q1 as a reference category, quintiles 2, 3 and 4 showed a higher BMI of 0.65, 0.88, 0.77 and 0.41 kg/m2, respectively (p < 0.001). Regarding ethnicity, indigenous people had a BMI 0.78 kg/m2 less than whites; Montubios and Afro-Americans had 0.37 and 0.61 kg/m2, respectively, more than whites. People residing in the urban area present 0.41 kg/m2 more than the residents in the rural area. Conclusions: we identified groups of higher nutritional risk such as women and married people for overweight and obesity, while indigenous people and the poorest people were at risk for low weight, which indicates that in Ecuador adults have problems of both excess and deficit. It is necessary to implement policies aimed at specific population groups.

Prevalence of obesity and association between body mass index and different aspects of lifestyle in medical sciences students: A cross-sectional study

Aim

The global obesity pandemic is a major health problem with adverse effects on physical and mental health. The aim of this study was to investigate the prevalence of obesity and the association between BMI and different aspects of lifestyle.

Design

A cross-sectional study.

Methods

Data collected from 380 medical sciences students using demographic characteristics and Eating Behavior, Physical Activity and Perceived Stress Questionnaires were analysed using descriptive and inferential statistics, namely analysis of variance (ANOVA), t test, Pearson's test and multivariate linear regression model.

Results

The prevalence of obesity and overweight was 3.2% and 25.3%, respectively. There was a positive and significant statistical association between emotional eating (r = .542), extrinsic eating (r = .488) and perceived stress (r = .489) with BMI, also significant and an inverse association was obtained between emotional eating (r = -.488) and total physical activity score (r = -.394) with BMI. Factors such as sex, total physical activity score and leisure time activity, external eating behaviours, emotional eating, restricted eating and perceived stress had a significant role in explaining BMI changes.

Conclusion

There is a need to develop interventions to improve dietary behaviours, management stress and access to sports facilities by health-promoting activities and the provision of online health resources.

Intersectional equity in health care: assessing complex inequities in primary and secondary care utilization by gender and education in northern Sweden

BACKGROUND

Knowledge remains scarce about inequities in health care utilization between groups defined, not only by single, but by multiple and intersecting social categories. This study aims to estimate intersectional horizontal inequities in health care utilization by gender and educational level in Northern Sweden, applying a novel methodological approach.

METHODS

Data on participants (N = 22,997) aged 16-84 years from Northern Sweden came from the 2014 Health on Equal Terms cross sectional survey. Primary (general practitioner) and secondary (specialist doctor) health care utilization and health care needs indicators were self-reported, and sociodemographic information came from registers. Four intersectional categories representing high and low educated men, and high and low educated women, were created, to estimate intersectional (joint, referent, and excess) inequalities, and needs-adjusted horizontal inequities in utilization.

RESULTS

Joint inequalities in primary care were large; 8.20 percentage points difference (95%CI: 6.40-9.99) higher utilization among low-educated women than high-educated men. Only the gender referent inequity remained after needs adjustment, with high- (but not low-) educated women utilizing care more frequently than high-educated men (3.66 percentage points difference (95%CI: 2.67-5.25)). In contrast, inequalities in specialist visits were dominated by referent educational inequalities, (5.69 percentage points difference (95%CI: 2.56-6.19), but with no significant horizontal inequity - by gender, education, or their combination - remaining after needs adjustment.

CONCLUSION

This study suggests a complex interaction of gender and educational inequities in access to care in Northern Sweden, with horizontal equity observable for secondary but not primary care. The study thereby illustrates the unique knowledge gained from an intersectional perspective to equity in health care.

Prevalence of the Metabolic Syndrome and its components in the Brazilian adult population

We estimated the prevalence of the Metabolic Syndrome (MetS) and its components in the Brazilian population according to sociodemographic factors. This is a cross-sectional population-based study that used laboratory data from the National Health Survey. We estimated the prevalence of MetS and its components with 95% confidence intervals and the unadjusted and adjusted prevalence ratio (PR) with the Poisson regression. MetS prevalence ratio was 38.4%. High waist circumference (WC) (65.5%) and low HDL cholesterol (49.4%) were the most prevalent components, including in the youngest people. MetS and its components were more frequent among women (41.8%), individuals with low schooling (47.5%), and older adults (66.1%). In the adjusted analysis, females (PR = 1.16; 95% CI 1.08-1.24), older adults (PR = 3.69; 95% CI 3.26-4.17), and low schooling (PR = 1.32; 95% CI 1.17-1.49) were associated with MetS. MetS was prevalent in the Brazilian population, especially among women, individuals with low schooling, and older adults. High WC and low HDL cholesterol were the most prevalent components, with the aggravating high prevalence factor in young adults. These findings reveal the need to consider laboratory data for a more accurate analysis of this condition, which can be challenging at the national level.

Self-rated health inequalities in the intersection of gender, social class and regional development in Spain: exploring contributions of material and psychosocial factors

BACKGROUND

Inequalities in health across social class, gender and regional context in Spain are well-known; however, there is a lack of research examining how these dimensions of inequality interact. This study explores self-rated health (SRH) inequalities across intersectional positions of gender, social class and region, and the contribution of material and psychosocial factors to these inequalities.

METHODS

Participants were drawn from the cross-sectional 2015 National Living Conditions Survey of Spanish residents aged 19-88 years (N = 27,215; 77% response rate). Eight intersectional positions were formed by combining dichotomous variables of gender, social class and regional development. Poisson regression was used to estimate intersectional inequalities in SRH as prevalence ratios, and the contributions of material and psychosocial factors.

RESULTS

Results showed both cumulative and heterogeneous inequalities within and across intersectional positions. Inequalities in the intersection of social class and regional development were best explained by the joint contributions of material and psychosocial factors, while gender inequalities within non-manual social class were better explained by material factors alone.

CONCLUSIONS

The results illustrate the complexity of interacting inequalities in health and their underpinnings in Spain. Local and national policies taking this complexity into account are needed to broadly improve equity in health in Spain.