[Abdominal obesity and other cardiometabolic risk biomarkers: influence of socioeconomic status and lifestyle on two African-origin population groups, Cotonou (Benin) and Port-au-Prince (Haiti)]

Updating the association between socioeconomic status and obesity in low-income and lower-middle-income sub-Saharan African countries: A literature review

Globally, the literature tends to emphasize negative associations between socioeconomic status (SES) and bodyweight in countries improving their economic development. However, little is known about the social distribution of obesity in sub-Saharan Africa (SSA) where economic growth has been highly heterogeneous the last decades. This paper reviews an exhaustive set of recent empirical studies examining its association in low-income and lower-middle-income countries in SSA. Although there is evidence of a positive association between SES and obesity in low-income countries, we found mixed associations in lower-middle-income countries, potentially providing evidence of a social reversal of the obesity burden.

Extreme Food Insecurity and Malnutrition in Haiti: Findings from a Population-Based Cohort in Port-au-Prince, Haiti

Haiti is one of the most food-insecure (FIS) nations in the world, with increasing rates of overweight and obesity. This study aimed to characterize FIS among households in urban Haiti and assess the relationship between FIS and body mass index (BMI) using enrollment data from the Haiti Cardiovascular Disease Cohort Study. FIS was characterized as no/low, moderate/high, and extreme based on the Household Food Security Scale. Multinomial logistic generalized estimating equations were used to evaluate the association between FIS categories and BMI, with obesity defined as BMI ≥ 30 kg/m2. Among 2972 participants, the prevalence of moderate/high FIS was 40.1% and extreme FIS was 43.7%. Those with extreme FIS had higher median age (41 vs. 38 years) and were less educated (secondary education: 11.6% vs. 20.3%) compared to those with no/low FIS. Although all FIS categories had high obesity prevalence, those with extreme FIS compared to no/low FIS (15.3% vs. 21.6%) had the lowest prevalence. Multivariable models showed an inverse relationship between FIS and obesity: moderate/high FIS (OR: 0.77, 95% CI: 0.56, 1.08) and extreme FIS (OR: 0.58, 95% CI: 0.42, 0.81) versus no/low FIS were associated with lower adjusted odds of obesity. We found high prevalence of extreme FIS in urban Haiti in a transitioning nutrition setting. The inverse relationship between extreme FIS and obesity needs to be further studied to reduce both FIS and obesity in this population.

Association between alcohol intake and overweight and obesity: a systematic review and dose-response meta-analysis of 127 observational studies

Several studies have assessed the relationship between alcohol intake and overweight/obesity; however, the reported results are inconsistent. Therefore, the present systematic review and dose-response meta-analysis of observational studies was designed to investigate the association between alcohol intake and general and abdominal obesity among the adults. Literature search was conducted in the PubMed/Medline and Web of Science databases up to August 2020. Odds ratio (OR), risk ratio (RR), or hazard ratio (HR) with 95% confidence interval (95% CI) were used to pool effect size. To conduct dose-response meta-analysis, amount of alcohol intake was classified into three categories including light (<14 g/d), moderate (14-28 g/d), and heavy (>28 g/d). In the present study, 127 eligible studies were included. In cohort studies, there was no significant association between alcohol drinking and risk of overweight (OR: 0.93, 95% CI: 0.46 to 1.89), obesity (OR: 0.84, 95% CI: 0.52 to 1.37), overweight/obesity (OR: 1.15, 95% CI: 0.84 to 1.58), and abdominal obesity (OR: 1.13, 95% CI: 0.90 to 1.41). In cross-sectional studies, alcohol intake was associated with the increased odds of overweight (OR: 1.11, 95% CI: 1.05 to 1.18), overweight/obesity (OR: 1.23, 95% CI: 1.11 to 1.37), and abdominal obesity (OR: 1.19, 95% CI: 1.09 to 1.29); but not obesity (OR: 1.03, 95% CI: 0.95 to 1.12). Results of dose-response analysis indicated that heavy alcohol drinking was positively associated with odds of overweight (OR: 1.12, 95% CI: 1.01 to 1.24), overweight/obesity (OR: 1.32, 95% CI: 1.16 to 1.51), and abdominal obesity (OR: 1.25, 95% CI: 1.12 to 1.38) compared to non- or light alcohol drinking. There was no publication bias among studied on outcomes of interest. In conclusion, our results revealed alcohol drinkers, especially heavy alcohol drinkers, had increased odds of overweight, overweight/obesity, and abdominal obesity than non-alcohol drinker or light alcohol drinkers among cross-sectional studies but not cohort studies.

Association of all forms of malnutrition and socioeconomic status, educational level and ethnicity in Colombian children and non-pregnant women

OBJECTIVE

To examine the association of all forms of malnutrition and socioeconomic status (SES), educational level and ethnicity in children <5 years, non-pregnant adolescent women (11-19 years) and non-pregnant adult women (20-49 years) in Colombia.

DESIGN

Cross-sectional analysis of data from the 2010 Colombian National Nutrition Survey. The prevalence of malnutrition was compared across categories of SES, educational level and ethnicity.

SETTING

Colombia.

PARTICIPANTS

The sample for the current analysis comprised children <5 years, non-pregnant adolescent women (11-19 years) and non-pregnant adult women (20-49 years).

RESULTS

In children <5 years, a low SES and maternal educational level were significantly associated with a lower prevalence of overweight/obesity compared with high levels of SES and maternal education, that is, the prevalence of overweight/obesity was 1·4 and 1·6 times lower in categories of low SES and educational levels, respectively. In contrast, the prevalence of wasting, stunting and anaemia was higher in the lowest SES and maternal educational categories (the prevalence was between 1·1 and 1·8 times higher for these indicators). In women, the lowest SES (11 and 19 years) and educational levels (20 and 49 years) exhibited a higher prevalence in all forms of malnutrition compared with their counterparts in the highest categories (i.e. overweight/obesity, stunting and anaemia). Additionally, indigenous or Afro-Colombian children and women had the highest prevalence of malnutrition in comparison with other ethnicities.

CONCLUSIONS

These results suggest that public policies should address all forms of malnutrition that occur in the most vulnerable populations in Colombia using multiple strategies.

Prevalence and Predictors of Obesity and Overweight among Adults Visiting Primary Care Settings in the Southwestern Region, Saudi Arabia

Introduction

Obesity is becoming the most common health problem of the 21st century, as it will contribute significantly to the high prevalence of cardiovascular disease in developing countries. The main objective of our study was to estimate the prevalence of obesity and overweight among adults attending primary health care settings, southwestern region of the Kingdom of Saudi Arabia.

Methods

The studied population was composed of adults visiting primary health care centres in the southwestern region of Saudi Arabia. A cross-sectional study was carried out on a representative sample of 1681 adult patients. Obesity and overweight were defined according to the WHO standards. Statistical analysis was conducted using the statistical package SPSS 17.0. Logistic regression analysis was used to identify independent predictors of obesity and overweight in the studied population.

Results

Data on body mass index (BMI) measurement was recorded for 1649 out of 1681 participants (98.1%). The overall mean weight was 74.1 ± 15.81 kg; and that for men was 77.69 ± 16.14 kg vs. 69.37 ± 14.02 kg for women with significant statistical difference of p < 0.001. The overall prevalence of overweight and obesity was, respectively, 38.3% and 27.6%. Smoking was not significantly associated with obesity, whereas hypertension was significantly associated with obesity. The risk of overweight or obesity significantly increased from the highest to the lowest monthly income; it passed from 1.67 CI 95% = [1.24-2.25] within the category 5000-7000 SAR to 2.23 CI 95% = [1.71-2.90] within the category less than 5000 SAR.

Conclusion

Our study showed high prevalence of overweight and obesity which should be considered as a public health concern to be followed by specific interventions at the community level with multidisciplinary activities starting from childhood as a primordial prevention program.