Risk Factors for Overweight and Obesity within the Home Environment of Preschool Children in Sub-Saharan Africa: A Systematic Review

Dietary determinants of overnutrition among hypertensive patients in southwest Ethiopia: an ordinal regression model

Overnutrition is a recognized risk factor for hypertension, but evidence is lacking among hypertensive patients for tailored dietary interventions. This study assessed dietary factors in 331 hypertensive patients in southwest Ethiopia. The data was collected through a questionnaire and analyzed using factor analysis. Body mass index (BMI) was calculated, and a BMI above 25 kg m-2 was considered overnutrition. An ordinal logistic regression model was used to model the data and control confounders. Adjusted odds ratio and p-values were reported. Among the 331 respondents, consumption of cereals and grains (57.0%); roots and tubers (58.5); and legumes (50.0%), while 28.6% drink alcohol, was common. About 29.0% (24.1-34.2) had overnutrition (22%, 17.6-26.6%, overweight and 7.0%, 4.5-10.3%, obesity). While the predicted odds of overnutrition were higher among males (AOR = 2.85; 1.35-6.02), married (AOR = 1.47; 0.69-3.12), illiterates (AOR = 2.09; 1.18-3.72), advanced age (AOR = 1.65; 0.61-4.61), government employees (AOR = 6.83; 1.19-39.2), and urban dwellers (AOR = 4.06; 1.76-9.36), infrequent vegetable consumption (AOR = 1.47; 0.72-2.96) and lower and higher terciles of cereals and animal-source food consumption (AOR = 1.56; 0.72-3.34). Overnutrition among hypertensive patients was significantly high and associated with unhealthy dietary consumption, educational status, residence, and occupation, emphasizing the need for targeted dietary counseling.

Socio-economic, demographic, and contextual predictors of malnutrition among children aged 6-59 months in Nigeria

Malnutrition has remained a global public health issue, particularly in low- and middle-income countries (LMICs). Researchers have committed to studying malnutrition (especially in children under the age of five) to address the nine malnutrition targets, set by the WHO to be achieved by 2025. This study seeks to evaluate the prevalence, the individual and contextual predictors of malnutrition among children aged 6-59 months across Nigeria and its states. Two separates, independently collected, nationally representative cross-sectional surveys, the National Human Development Report (NHDR 2018) and the 2018 Nigeria Demographic and Health Survey (2018 NDHS) were linked for this study. Spatial map was used to describe the prevalence of malnutrition, a 3-level multivariate multilevel logistic regression models were fitted where children/individuals (at level 1) were nested in communities/clusters (at level 2) and nested in states (at level 3). A weighted sample of 7,770 children 6-59 months were considered in this study. The results showed that an estimated 43.6% of children aged 6-59 months are poorly nourished in Nigeria. The proportions of poorly nourished children were generally highest in the Northern Nigeria. Child's gender, age, birth size, preceding birth order, anaemia status, maternal education, work status, body weight, household wealth status, number of bedrooms were among individual/household predictors of malnutrition. On the community level, being from community with high wealth index, distance to nearest health facilities is no big problem. Regional variations and gender inequality index were the state level predictors of malnutrition among children in Nigeria. This study has shown that two-third of children aged 6-59 months in Nigeria were poorly nourished, an indication of a growing concern of double burden of malnutrition in Nigeria.

Dietary Patterns, Socio-Demographic Predictors Thereof, and Associations of Dietary Patterns with Stunting and Overweight/Obesity in 1-<10-Year-Old Children in Two Economically Active Provinces in South Africa

A review of the literature showed that there were only a few studies that reported on the dietary patterns of children in South Africa. The aim of the present study was to characterise the dietary patterns of children aged 1-<10 years who were studied during the Provincial Dietary Intake Survey (PDIS) in 2018 and to investigate the socio-demographic predictors thereof, as well as the associations with stunting and overweight/obesity. Dietary pattern analysis was conducted within three age groups, namely 1-<3-year-olds, 3-<6-year-olds, and 6-<10-year-olds using iterated principal factor analysis with varimax rotation and 24 h recall data from the PDIS. The dietary patterns that emerged seem to be far from ideal. Energy-dense, nutrient-poor patterns were included in the top three strongest patterns in all three age groupings that were investigated. Few of the dietary patterns included vegetables other than starchy vegetables, fruit, dairy, quality proteins, and unrefined carbohydrates. There were no associations between any of the dietary patterns and stunting or overweight/obesity in the children. Key predictors of greater adherence to the mostly unhealthy patterns included indicators of a higher socio-economic status in all three age groups, as well as having an obese mother in the 6-<10-year-old group. Key predictors of greater adherence to the mostly healthy patterns were a higher wealth index and having an obese mother in the two younger groups, with no predictors in the 6-<10-year-old group. We conclude that the dietary patterns of children in the Western Cape contain strong elements of the energy-dense, nutrient-poor dietary patterns. Interventions to improve the dietary intake of children should be directed at both poorer and higher income communities.

The association analysis between exposure to volatile organic chemicals and obesity in the general USA population: A cross-sectional study from NHANES program

BACKGROUND

Increasing evidence have been provided that the exposure to environment pollutants was associated obesity, while whether the exposure to volatile organic chemicals (VOC) was associated with obesity or abdominal obesity is yet to be clarified.

METHOD

A cross-sectional study using data from the 6 survey cycles (2005-2006, 2011-2018, 2017-2020) of NHANES program was performed. Obesity and abdominal obesity were identified as a BMI >30 and a waist circumference >102 cm for men or >88 cm for women respectively. The quantile logistic regression method was used to analyze the association between VOC metabolites (VOCs) in urine and obesity, and the quantile regression method was used for the association analysis between VOCs in urine and BMI, as well as waist circumference.

RESULTS

A total of 17 524 participants (4965 obesity, 7317 abdominal obesity) were included, and participants in the obesity or abdominal obesity groups showed higher VOCs in urine than that in the control group. The CEMA was identified as the risk factor for obesity and abdominal obesity in all the 4 models, and its detected OR for obesity in the Q2 to Q4 of model 3 was 1.169 (Q2, p < 0.05), 1.306 (Q3, p < 0.001) and 1.217 (Q4, p < 0.01) respectively. And its OR for abdominal obesity in the Q2 to Q4 of model 3 was 1.222 (Q2, p < 0.01), 1.448 (Q3, p < 0.001) and 1.208 (Q4, p < 0.05) respectively. A significantly positive association between CEMA and BMI, as well as waist circumference, was also detected.

CONCLUSION

In this study, we found that the exposure to VOC (Acrolein, Acrylamide, Acrylonitrile, 1,3-Butadiene, Crotonaldehyde, Cyanide, N,N-Dimethylformamide, Ethylbenzene, styrene, Propylene oxide, Toluene and Xylene) was significantly associated with obesity or abdominal obesity. And also, more prospective studies and related experimental researches should be carried out to further demonstrate the conclusion of this study.

Interactions between Self-Perceived Weight Status and Lifestyle Behaviors and Their Associations with Childhood Obesity: Results from the Childhood Obesity Study in China Mega-Cities

This study investigated the interactions between self-perceived weight status and lifestyle behaviors, and their associations with childhood obesity among school children. Methods: Cross-sectional study data from a nationwide sample of 3258 participants (aged 8-15 years old) during 2015-2017 were used. Self-perceived weight status and lifestyle factors (dietary intake and physical activity) were assessed using self-administered questionnaires. Multivariable mixed-effects models tested the effect of interactions between weight self-perception and behavioral factors on overweight and obesity (ow/ob). Results: Overall ow/ob prevalence based on BMI was 30.9% (38.5% for boys, 23.0% for girls). Based on self-perceived weight status, ow/ob prevalence was 37.7% (35.8% for boys, 39.7% for girls). 41.2% of boys and 25.9% of girls underestimated their actual weight status. The interaction between self-perceived weight status and meat consumption was associated with ow/ob in boys, while the interaction between self-assessed weight status and protein foods and sedentary lifestyle were associated with ow/ob in girls. The attributable proportions of these three factors were 39.8%, 48.2%, and 34.6%, respectively. Conclusions: The self-perceived weight status was different from their actual weight status in children. The interactions between self-perceived weight status and lifestyle behaviors were associated with ow/ob. Health promotion programs that empower children to have appropriate self-awareness of weight status, eating, and physical activity behaviors need to be developed and implemented.