Nutritional status and growth centiles using anthropometric measures of school-aged children and adolescents from Multan district

A Systematic Review of School-Based Nutrition Interventions for Promoting Healthy Dietary Practices and Lifestyle Among School Children and Adolescents

Childhood malnutrition is one of the foremost community health problems in the world, particularly in developing countries like India. This current review was conducted to evaluate the effectiveness of various school-centered nutrition interventions/intervention programs developed in recent years, and their impact on the nutritional status, dietary habits, food preferences, lifestyle, and dietary behaviors in relation to diet, as well as physical activities for school children, especially adolescents. This review included studies found in the PubMed/Medline, SCOPUS, and Web of Science (WOS) databases, published from July 2017 to 2023. They were analyzed for eligibility criteria defined for this study, including school children and adolescents, school-based nutrition interventions/strategies/policies/initiatives, nutritional status, physical activity, dietary habits, and lifestyle. The Risk of Bias assessment was conducted using Review Manager version 5.4. Among 1776 potentially related studies, 108 met the eligibility criteria. Following this review, 62 studies were identified as eligible for this study, in which 38 intervention programs were discussed. A total of 13 studies were considered comprehensive and multi-component, 15 were nutrition education interventions, six were identified as physical activity interventions, and four focused on lifestyle and dietary behavior-related interventions. Another 24 of the 62 studies reviewed (approximately 39%) were either original articles, review articles, or articles pertaining to nutritional program guidelines, protocols, and/or reports. These studies uncovered a possible relationship between a decrease in BMI and school children's engagement in diet and/or physical activity. Results also suggest that these programs can be effective, although evidence for the long-term sustainability of changes in BMI was less evident and not fully substantiated/supported. Most of these findings are based on self-reported program data and may consist of biases linked to recall, selection of participants, and the desire to report favorable final measures (physical activity, lifestyle, and dietary habits). This study has the potential for use in public health programs devoted to healthy nutrition behavior and lifestyle practices. This research was primarily conducted by clinical researchers and did not receive any standardized institutional or organization-derived grant funding and support.

Height-for-age and weight-for-age growth charts for Pakistani infants under six months: derived from a novel case selection method using multiple indicator cluster survey data

BACKGROUND

In the past two decades, there has been a growing recognition of the need to establish indigenous standards or reference growth charts, particularly following the WHO multicenter growth study in 2006. The availability of accurate and reliable growth charts is crucial for monitoring child health. The choice of an appropriate model for constructing growth charts depends on various data characteristics, including the distribution's tails and peak. While Pakistan has reported some reference growth charts, there is a notable absence of indigenous charts for children under two years of age, especially for infants aged 0-6 months who are exclusively breastfed. Additionally, acquiring data poses a significant challenge, particularly for low-income countries, as it demands substantial resources such as finances, time, and expertise. The Multiple Indicator Cluster Survey (MICS) constitutes a large-scale national survey conducted periodically in low-income countries under the auspices of UNICEF. In this study, we propose methods for generating selection variables utilizing the "Novel Case Selection Method," as previously published. Further our approach enables to select and fit appropriate model to the MICS data, selected, and to develop the standard growth charts.

METHODS

Out of the 11,478 children under 6 months of age included in MICS-6 (Pakistan), 3,655 children (1,831 males and 1,824 females) met the specified criteria and were selected using the "Novel Case Selection Method". The sample was distributed across provinces as follows: 841 (23.0%) from KPK, 1,464 (40.1%) from Punjab, 819 (22.4%) from Sindh, and 531 (14.5%) from Balochistan. This sample encompassed both rural (76.4%) and urban (23.6%) populations. Following data cleaning and outlier removal, a total of 3,540 records for weight (1,768 males and 1,772 females) and 3,515 records for height (1,759 males and 1,756 females) were ultimately available for the development of standard charts. The Bayesian Information Criterion (BIC) was employed to determine the optimal degrees of freedom for L, M, and S using RefCurv_0.4.2. Three families within the gamlss class-namely, Box Cox Cole and Green (BCCG), Box Cox T (BCT), and Box Cox Power Exponential (BCPE)-were applied, each with three smoothing techniques: penalized splines (ps), cubic splines (cs), and polynomial splines (poly). The best-fitted model was selected from these nine combinations based on the Akaike Information Criteria.

RESULTS

The Novel Case Selection Method yielded 3655 cases as per criteria. After cleaning the data, this method lead to selection of 3540 children for "weight for age" (W/A) and 3515 children for "height for age" (H/A). The "BCPE" family and "ps" as smoothing method proved to be best on AIC for all four curves, i.e. the W/A male, W/A female, H/A male, and H/A female. The optimum selected degrees of freedom for the curve "W/A", for both genders were (M = 1, L = 0, S = 0). The optimum degrees of freedom for H/A male were again (M = 1, L = 0, S = 0), but for females the selected degrees of freedom were (M = 1, L = 1, S = 1). The indigenous fitted standard curves for Pakistan were on lower trajectory in comparison to WHO standards.

CONCLUSION

This study uses the Novel Case Selection Method with introduced algorithms to construct tailored growth charts for lower and middle-income countries. Leveraging extensive MICS data, the methodology ensures representative national samples. The resulting charts hold practical value and await validation from established data sources, offering valuable tools for policy makers and clinicians in diverse global contexts.

Anthropometric Characteristics and Weight Status of Early Adolescents (Aged 12-14) in Montenegro; Urban-Rural and Regional Differences

The aim of this study was to determine urban-rural and regional differences in anthropometric characteristics among adolescents aged 12-14, as well as to present the prevalence of weight status. A total of 534 adolescents aged 12-14 from primary schools across Montenegro participated in this cross-sectional study (283 boys, aged 13.52 ± 0.42, body height 169.43 ± 8.89, body weight 60.54 ± 13.47; 251 girls, aged 13.51 ± 0.40, body height 165.54 ± 6.67, body weight 55.28 ± 9.27). The sample was divided by geographic region in Montenegro into northern, central, and coastal regions, and according to settlement type into urban and rural inhabitants. Anthropometric characteristics were assessed using a battery of seven variables: arm span (AS); body height (BH); body weight (BW); waist circumference (WC); hip circumference (HC); body mass index (BMI); and waist-to-hip ratio (WHR). BMI was categorized based on the World Health Organization's (WHO) cut-offs. The results indicate that girls from urban areas exhibited significantly greater body height and lower BMI values compared to their rural counterparts. Similarly, boys from urban areas also demonstrated lower BMI values compared to their rural peers. However, no statistically significant differences were observed in other anthropometric characteristics between these two groups of adolescents. Based on analysis of variance (ANOVA) and post-hoc analysis, it was found that girls from central areas had significantly greater body height compared to those from northern and coastal areas. Likewise, boys from northern areas showed higher body mass and BMI values compared to those from central areas. Additionally, both boys and girls from central areas had higher values compared to those from coastal areas. Nevertheless, no significant differences were detected in other anthropometric characteristics among adolescents from these regions. This study identified significant differences in anthropometric parameters among participants based on urban-rural status and within regional divisions. However, further research encompassing a larger sub-sample and a broader array of anthropometric variables is needed to draw a more comprehensive conclusion.

Assessment of the Relationship between Body Weight Status and Physical Literacy in 8 to 12 Year Old Pakistani School Children: The PAK-IPPL Cross-Sectional Study

(1) Background: Physical literacy (PL) is a multidimensional concept, since it fosters lifetime engagement in physical activities and reduces obesity; however, empirical evidence is lacking to support this association. This study first aimed to establish PL levels stratified by normal weight children and children with overweight and obesity. Furthermore, this study determined a correlation between PL domains and BMI by weight status among South Punjab school children. (2) Methods: This cross-sectional study involved 1360 (Boys: 675 and Girls: 685) children aged 8 to 12, and was conducted using CAPL-2. T-tests and chi-square were used to determine the difference between categorical variables, with MANOVA used to compare weight statuses. Spearman correlation was employed to determine the correlation between variables; p < 0.05 was considered significant. (3) Results: Normal weight children had significantly higher PL and domain scores, except for the knowledge domain. Most children with normal weights were at the achieving and excelling levels, while children with overweight and obesity were at the beginning and progressing levels. The correlation among PL domains in normal and overweight and obese children ranged from weak to strong (r = 0.001 to 0.737), and the knowledge domain was inversely correlated with the motivation domain (r = -0.023). PL and domain scores were inversely correlated to BMI, except for the knowledge domain. (4) Conclusions: Children with normal weight tend to have higher PL and domain scores, while those with overweight or obesity tend to have lower scores. There was a positive relationship between normal weight and higher PL and domain scores, and an inverse relationship was observed between BMI and higher PL scores.