Rural-urban disparities in the nutritional status of younger adolescents in Tanzania

Secular trends in the anthropometric characteristics of children in a rural community in Yucatan, Mexico

OBJECTIVE

To analyze changes in height, weight, and body mass index (BMI = kg/m2 ) from 1986 to 2022 in 3-11 year old children from Dzeal, a rural Maya community in Yucatan, Mexico.

MATERIALS AND METHODS

From October-2022 to February-2023 (third-wave survey), we obtained anthropometric measurements of children (n = 80) and family socioeconomic data and compared them with data obtained in 1986 (n = 38) and 2000 (n = 76). Comparisons of anthropometric parameters by sex between years of measurement were performed graphically and through one-way ANOVA, splitting children into two age groups: 3-7 and 8-11. Bonferroni adjustments for multiple comparisons were used when ANOVAs were statistically significant (p < .05).

RESULTS

In girls, significant increases in height and weight between surveys were found in 3-7 and 8-11 age groups; in boys, significant increases were only found in the 8-11 age group. Regarding BMI, there were increases in 2022 compared with 1986/2000 in both sexes from 8 years onwards. Differences indicate increases of 3.9 and 4.4 cm per decade in girls aged 3-7 and 8-11, respectively, and increases in weight of 1.1 and 3.3 kg per decade, respectively. Increases in boys 8-11 years were 2.3 cm and 2.4 kg per decade.

CONCLUSION

Significant increases in growth parameters were observed in specific-age children in the community studied in the context of changes in livelihoods and improvements in household material conditions.

Comparison of Malnutrition Indicators and Associated Socio-Demographic Factors among Children in Rural and Urban Public Primary Schools in South Africa

Most children in South Africa attending public schools are predisposed to malnutrition due to poor infrastructure and social inequality. This is despite the implementation of the National School Nutrition Programme to address barriers to learning associated with hunger and malnutrition and the National Development Plan to reduce child malnutrition through provision of social grants. In view of this, we compared malnutrition indicators and associated socio-demographic factors among children in rural Mpumalanga and urban Gauteng in South African public primary schools selected using a multistage cluster random sampling. A validated researcher-administered questionnaire was used to collect socio-demographic data of caregivers, along with primary school children data collected on age, sex, learning grade, and anthropometric measures. Malnutrition indicators, which are stunting (low height-for-age z-scores), underweight (low weight-for-age z-scores), thinness (low body-mass-index-for-age z-scores), and overweight/obesity (high body mass index) were computed using WHO Anthro Plus 1.0.4 and data were analyzed using Stata 18. A total of 903 children (rural = 390 and urban = 513) with a mean age of 10 ± 2 years in the foundation phase (learning grades one to three) and the intermediate learning phase (learning grades four to seven) participated with their caregivers (mean age: 39 ± 8 years). Significant levels of poor socio-demographic status were observed among caregivers living in the rural setting compared to in the urban setting. Overall, thinness (18%), stunting (12%), underweight (10%), and overweight/obesity (24%) were observed among school children. Children in the rural schools had a significantly higher prevalence of stunting (20% vs. 3%; p < 0.0001), underweight (17% vs. 2%; p < 0.0001) and thinness (28% vs. 7%; p < 0.001) than their urban counterparts. In the urban, the odds of stunting, underweight and thinness were less among school children, while overweight/obesity was twice as likely in the urban setting. The multivariate final model showed lower odds of underweight [adjusted odds ratio (AOR) = 0.16; 95% confidence interval (CI): 0.06-0.42] and stunting [AOR = 0.33; 95% CI: 0.13-0.87] in the urban compared to the rural schools. The association of stunting with sex [AOR =0.53; 95% CI: 0.30-0.94] and the intermediate learning phase [AOR = 7.87; 95% CI: 4.48-13.82] was observed in the rural setting, while thinness was associated with living in households with an income of USD 52.51 to USD 262.60/month [AOR = 2.89; 95% CI: 1.01-8.24] and receiving the child social grant [AOR = 2.49; 0.90-6.86] in the urban setting. Overweight/obesity was associated with living in a household with an income of USD 52.51 to USD 262.60/month [AOR = 1.80; 95% CI: 1.02-3.10]. The findings suggest nutritional intervention approaches that are accustomed to the context of settings to effectively tackle malnutrition.

Interplay of Water–Energy Security and Food Consumption Patterns towards Achieving Nutrition Security in Katsina State, North-Western Nigeria

Everyone has the right to secure water, energy, and food supplies. These essential resources are stressed in many countries. With the current population growth rate and urbanisation, especially in sub-Saharan Africa, there is a need for more food, water, and energy to sustain the increasing population. The aim of this study was to assess the inter-relationship among water and energy in various urban and rural households to support food and nutrition security. Considering the social-economic peculiarities of the region, a specific framework and questionnaire were developed for the study. A survey involving 1785 questionnaires was conducted. Urban and rural stratification methods were used in selecting settlements across the regions. The household’s nutritional status was measured in relation to protein-rich foods as well as vegetable and fruit consumption. In addition to the Person’s correlation coefficient, which was applied to measure the association between two categories of food consumption, the chi-squared test of interdependence to determine the effect of the urban–rural dichotomy on resource utilisation was calculated. The findings indicate a high risk of undernourishment associated with insufficient sources of water and energy, as well as inappropriate sanitation facilities, especially in rural communities.