Low birth weight, household socio-economic status, water and sanitation are associated with stunting and wasting among children aged 6-23 months: Results from a national survey in Ghana.

BACKGROUND: Stunting and wasting are key public health problems in Ghana that are significantly linked with mortality and morbidity risk among children. However, information on their associated factors using nationally representative data is scanty in Ghana. This study investigated the influence of Infant and Young Child Feeding (IYCF) indicators, socio-demographic and economic related factors, and water and sanitation on stunting and wasting, using nationally representative data in Ghana. METHODS: This is a secondary data analysis of the most recent (2017/2018) Ghana Multi-Indicator Cluster Survey (MICS) datasets. The multi-indicator cluster survey is a national cross-sectional household survey with rich data on women of reproductive age and children under the age of five. The survey used a two-stage sampling method in the selection of respondents and a computer-assisted personal interviewing technique to administer structured questionnaires from October 2017 to January 2018. The present study involved 2529 mother-child pairs, with their children aged 6 to 23 months. We used the Complex Sample procedures in SPSS, adjusting for clustering and stratification effects. In a bivariate logistic regression, variables with P-values ≤ 0.05 were included in a backward multivariate logistic regression to identify the significant factors associated with stunting and wasting. RESULTS: The mean age of children was 14.32 ± 0.14 months, with slightly more being males (50.4%). About 12% and 16% of the children were wasted and stunted, respectively. There were 39.4%, 25.9%, and 13.7% of children who, respectively, satisfied the minimum meal frequency (MMF), minimum dietary diversity (MDD), and minimum acceptable diet (MAD). None of the IYCF indicators was significantly associated with stunting or wasting in the multivariate analysis but low socio-economic status, low birth weight, being a male child and unimproved toilet facilities were significantly associated with both wasting and stunting. CONCLUSION: Our findings suggest that aside from the pre-natal period, in certain contexts, household factors such as low socio-economic status and poor water and sanitation, may be stronger predictors of undernutrition. A combination of nutrition-specific and nutrition-sensitive interventions including the pre-natal period to simultaneously address the multiple determinants of undernutrition need strengthening.

Health equity in Somalia? An evaluation of the progress made from 2006 to 2019 in reducing inequities in maternal and newborn health.

BACKGROUND: Every human being has the right to affordable, high-quality health services. However, mothers and children in wealthier households worldwide have better access to healthcare and lower mortality rates than those in lower-income ones. Despite Somalia's fragile health system and the under-5 mortality rate being among the highest worldwide, it has made progress in increasing reproductive, maternal, and child health care coverage. However, evidence suggests that not all groups have benefited equally. We analysed secondary 2006 and 2018-19 data to monitor disparities in reproductive, maternal, and child health care in Somalia. METHODS: The study's variables of interest are the percentage of contraceptive prevalence through modern methods, adolescent fertility rate, prenatal care, the rate of births attended by midwives, the rate of births in a health care facility, the rate of early initiation of breastfeeding, stunting and wasting prevalence and care-seeking for children under-five. As the outcome variable, we analysed the under-five mortality rate. Using reliable data from secondary sources, we calculated the difference and ratio of the best and worst-performing groups for 2006 and 2018-19 in Somalia and measured the changes between the two. RESULTS: Between 2006 and 2018-19, An increase in the difference between women with high and low incomes was noticed in terms of attended labours. Little change was noted regarding socioeconomic inequities in breastfeeding. The difference in the stunting prevalence between the highest and lowest income children decreased by 20.5 points, and the difference in the wasting prevalence of the highest and the lowest income children decreased by 9% points. Care-seeking increased by 31.1% points. Finally, although under-five mortality rates have decreased in the study period, a marked income slope remains. CONCLUSIONS: The study's findings indicate that Somalia achieved significant progress in reducing malnutrition inequalities in children, a positive development that may have also contributed to the decrease in under-five mortality rate inequities also reported in this study. However, an increase in inequalities related to access to contraception and healthcare for mothers is shown, as well as for care-seeking for sick children under the age of five. To ensure that all mothers and children have equal access to healthcare, it is crucial to enhance efforts in providing essential quality healthcare services and distributing them fairly and equitably across Somalia.

Statistical modelling of determinants of child stunting using secondary data and Bayesian networks: a UKRI Global Challenges Research Fund (GCRF) Action Against Stunting Hub protocol paper.

INTRODUCTION: Several factors have been implicated in child stunting, but the precise determinants, mechanisms of action and causal pathways remain poorly understood. The objective of this study is to explore causal relationships between the various determinants of child stunting. METHODS AND ANALYSIS: The study will use data compiled from national health surveys in India, Indonesia and Senegal, and reviews of published evidence on determinants of child stunting. The data will be analysed using a causal Bayesian network (BN)-an approach suitable for modelling interdependent networks of causal relationships. The model's structure will be defined in a directed acyclic graph and illustrate causal relationship between the variables (determinants) and outcome (child stunting). Conditional probability distributions will be generated to show the strength of direct causality between variables and outcome. BN will provide evidence of the causal role of the various determinants of child stunning, identify evidence gaps and support in-depth interrogation of the evidence base. Furthermore, the method will support integration of expert opinion/assumptions, allowing for inclusion of the many factors implicated in child stunting. The development of the BN model and its outputs will represent an ideal opportunity for transdisciplinary research on the determinants of stunting. ETHICS AND DISSEMINATION: Not applicable/no human participants included.

Preventing Stunting in South African Children Under 5: Evaluating the Combined Impacts of Maternal Characteristics and Low Socioeconomic Conditions.

More than 140 million children under five suffered from stunting in 2020. This highlights the ongoing challenge of addressing childhood malnutrition globally. We utilized data from a nationally representative sample of children under five years of age (n = 14,151) who participated in five cycles of the South African National Income Dynamics Study (SA-NIDS) (2008-2017). We estimated the proportion of stunted children attributed to the mothers' anthropometric characteristics and socioeconomic conditions. We also quantified the population-level burden of low-socioeconomic conditions on hunger/food insecurity among pregnant women (n = 22,814) who participated in the nine rounds of the South African General Household Surveys (GHS) (2008-2021). Results from weighted-multivariate logistic regression were incorporated into the population-level impacts of correlates of stunting and low-socioeconomic conditions. The prevalence of stunting declined from 25% in 2008 to 23% in 2017. Mothers' anthropometric measures (underweight/height < 160 cm), marital status, low education, absence of medical insurance and low-socioeconomic conditions were all identified as the most influential risk factors for stunting. Their population-level impacts on stunting increased substantially from 34% (in 2008) to 65% (in 2017). Comprehensive strategies emphasizing enhanced food security, extended breastfeeding, appropriate nutrition, and access to adequate healthcare and education are urgently needed to reduce the burden of food insecurity low-socioeconomic, malnutrition, and its long-term consequences.

Assessment of the role of gut health in childhood stunting in a multisite, longitudinal study in India, Indonesia and Senegal: a UKRI GCRF Action Against Stunting Hub protocol.

INTRODUCTION: Childhood stunting has a complex aetiology, with poor gut health being an important contributor. This study will assess inter-relationships between maternal and infant gut health indices and infant linear growth. Inter-relationships between gut health indices, systemic inflammation and growth hormones in early childhood will also be assessed. METHODS AND ANALYSIS: A longitudinal observational study of cohorts of 600 newborns and their mothers in India, Indonesia and Senegal will be conducted. Women will be recruited during pregnancy and their children followed up to age 24 months. Stool, urine and blood samples will be collected from the women and children for assessments of helminthic and protozoal parasites, bacterial pathogens, faecal microbiota taxa, biomarkers of environmental enteric dysfunction, systemic inflammation and growth hormones. Child anthropometric measurements will be collected at birth and at ages 3, 6, 9, 12, 18 and 24 months. The gut health indices will be integrated with cohort data from other Action Against Stunting Hub (AASH) workstreams for interdisciplinary analyses of childhood stunting and the development of a new typology of stunting. DISCUSSION: This study will advance scientific understanding of the role of gut health in childhood stunting and will contribute to a broader knowledge of the complex aetiology of this condition as part of the interdisciplinary AASH research to reduce the global burden of childhood stunting. ETHICS AND DISSEMINATION: This study has been approved by the relevant Ethics Committees in Senegal, India, and Indonesia and LSHTM. The results will be submitted for publication in peer-reviewed journals.

Systematic comparison of household income, consumption, and assets to measure health inequalities in low- and middle-income countries.

There has been no systematic comparison of how the three most common measures to quantify household SES-income, consumption, and asset indices-could impact the magnitude of health inequalities. Microdata from 22 Living Standards Measurement Study surveys were compiled and concentration indices, relative indices of inequality, and slope indices of inequality were calculated for underweight, stunting, and child deaths using income, consumption, asset indices, and hybrid predicted income. Meta-analyses of survey year subgroups (pre-1995, 1995-2004, and post-2004), outcomes (child deaths, stunting, and underweight), and World Bank country-income status (low, low-middle, and upper-middle) were then conducted. Asset indices and the related hybrid income proxy result in the largest magnitudes of health inequalities for all 12 overall outcomes, as well as most country-income and survey year subgroupings. There is no clear trend of health inequality magnitudes changing over time, but magnitudes of health inequality may increase as country-income levels increase. There is no significant difference between relative and absolute inequality measures, but the hybrid predicted income measure behaves more similarly to asset indices than the household income it is supposed to model. Health inequality magnitudes may be affected by the choice of household SES measure and should be studied in further detail.

Assessment of 3.0 Tesla magnetic resonance imaging in Madelung's deformity: findings and implications.

OBJECTIVE: The aim of the study was to investigate the 3.0 Tesla magnetic resonance imaging (MRI) features of Madelung's deformity. MATERIALS AND METHODS: The wrist MRI scans of 19 patients clinically diagnosed with Madelung's deformity and 20 patients without deformity were consecutively selected from Beijing Jishuitan Hospital between April 2019 and December 2022 for observation, in the case group and control group, respectively. Multiple linear regression was used to analyze the factors affecting tilting angle and width of central disc (CD, also termed as triangular fibrocartilage, the main component of triangular fibrocartilage complex), while the chi-square test was used to compare the occurrences of CD (radial) attachment displacement, VL, and RTL. p < 0.05 indicated statistical significance. RESULTS: Madelung's deformity significantly contributed to the tilting and thickening of the CD. In the case group, the tilting angle and thickness of CD were (51.46 ± 1.33)° and (0.23 ± 0.01) cm, respectively, which was statistically significant (p < 0.05); the radial attachment of the CD significantly shifted away from the distal articular surface level (χ2 = 39.00, p < 0.001), with a mean displacement of (0.97 ± 0.38) cm. Furthermore, the cases demonstrated abnormally developed Vickers ligament (χ2 = 35.19, p < 0.001) and radiotriquetral ligament (χ2 = 25.66, p < 0.001). CONCLUSION: MRI provides a notable advantage in diagnosing Madelung's deformity. Compared with the control group, patients with Madelung's deformity exhibited tilting and thickening of the CD. Additionally, the radial attachment of the CD was significantly shifted proximally with abnormal development of Vickers and radiotriquetral ligaments.

The Value of an Ecological Approach to Improve the Precision of Nutritional Assessment: Addressing Contributors and Implications of the "Multiple Burdens of Malnutrition".

Globally, children are exposed to multiple health risks associated with diet and nutrition. Rather than simply being a condition of having too much or too little food, malnutrition is more a syndrome comprising multiple burdens of coexisting and reciprocal malnutrition, infection, or other conditions. Importantly, children with such syndromes (e.g., stunting and anemia, which are neither specific nor necessarily sensitive to nutritional status) are more likely to also have irreversible functional outcomes such as poor growth, impaired immune function, or cognitive delays. The global health community has identified nutrition-related targets (e.g., Sustainable Development Goals (SDGs) and World Health Organization (WHO) Global Nutrition Targets) that, for multiple reasons, are difficult to address. Moreover, as the complexity of the global health context increases with persistent pandemics of infectious diseases and the rising prevalence of noncommunicable diseases, there is a growing appreciation that conditions selected as nutrition/health targets indeed represent syndromes for which nutritional status serves as both an input and outcome. In recognition of the impact of these combined challenges and the role of the multiple manifestations of malnutrition, we suggest an approach to nutritional assessment that is intended to improve the precision of context-specific, equitable approaches to health promotion, disease prevention, and treatment.

Leveraging multisectoral approach to understand the determinants of childhood stunting in Rwanda: a systematic review and meta-analysis.

BACKGROUND: Addressing childhood stunting is a priority and an important step in the attainment of Global Nutrition Targets for 2025 and Sustainable Development Goals (SDGs). In Rwanda, the prevalence of child stunting remains high despite concerted efforts to reduce it. METHODS: Utilizing the United Nations International Children's Emergency Fund (UNICEF) framework on maternal and child nutrition, this study systematically evaluated the determinants of child stunting in Rwanda and identified available gaps. Twenty-five peer-reviewed papers and five Demographic and Health Surveys (DHS) reports were included in the final selection of our review, which allowed us to identify determinants such as governance and norms including wealth index, marital status, and maternal education, while underlying determinants were maternal health and nutrition factors, early initiation of breastfeeding, water treatment and sanitation, and immediate factors included infections. RESULTS: A total of 75% of the overall inequality in stunting was due to the difference in the social determinants of stunting between poor and nonpoor households. Maternal education (17%) and intergenerational transfer (31%) accounted for most of the inequalities in stunting, and an increase in gross domestic product per capita contributed to a reduction in its prevalence. There is a paucity of information on the impact of sociocultural norms, early life exposures, maternal health and nutrition, and Rwandan topography. CONCLUSION: The findings of this study suggest that improving women's status, particularly maternal education and health; access to improved water, sanitation, and hygiene-related factors; and the socioeconomic status of communities, especially those in rural areas, will lay a sound foundation for reducing stunting among under-5 children.

Trends of risk factors associated with childhood stunting and anaemia in Ghana: evidence from the Demographic Health Survey and Multiple Indicator Cluster Survey (2003-2017).

OBJECTIVE: This study investigated the trend of effect estimates of the key risk factors of childhood stunting and anaemia between 2003 and 2017. DESIGN: A secondary analysis of the Demographic Health Survey (DHS) and Multiple Indicator Cluster Survey (MICS) data for the Ghanaian population between 2003 and 2017. Associations of selected socio-demographic (child age and gender; maternal age and education), economic (household wealth), environmental, dietary (minimum dietary diversity and iodine use) and health system (place of delivery and vaccination) factors were explored using the Poisson regression model. Trend analysis was explored using a fitted linear regression line on a time series plot. SETTING: Ghana. PARTICIPANTS: Children under 5 years. RESULTS: The results showed a reduction in the prevalence of stunting and anaemia over the 15-year duration. These health outcomes were found to be negatively associated with a wide array of socio-demographic (child age and gender, maternal age and education, residency), economic (household wealth), dietary (iodised salt use) and health service (place of delivery and vaccination) factors; however, the most consistent statistically significant association was observed between child's age and belonging to the poor wealth quintile. CONCLUSION: In order to prevent these indicators of child malnutrition, key consideration must be given to the early developmental stages of life. Child health policies must focus on addressing the key contextual factors of child malnutrition.

Undernutrition and determinants among adolescent street children in DireDawa City, eastern Ethiopia: Vulnerability assessment.

OBJECTIVES: Adolescents go through rapid development and increased nutritional requirements that can put them at higher risk of undernutrition--a problem that can be highest among orphaned or street children. Evidence on nutritional risk and its contributing factors among this segment is lacking in the city of Dire Dawa, where many children are on the streets with limited access to proper care. The aim of this study was to identify determinants of undernutrition among street adolescents in Ethiopia. METHODS: A community-based cross-sectional study was conducted with 358 street adolescents 12 to 19 y of age in Dire Dawa from January to February 2022. After conducting a preliminary survey and registering all available street children, a complete enumeration was made. For data collection, an interviewer-administered questionnaire was used along with anthropometric measurements using standard procedures. Height-for-age (HAZ) and body mass index (BMI) for age z scores were computed using World Health Organization (WHO) Anthroplus and statistical analysis was done using SPSS software version 26. Independent variables with P < 0.25 in bivariable analysis were included in multivariable logistic regression, and variables with P < 0.05 were considered statistically significant. A crude and adjusted odds ratio (AOR) with a 95% confidence interval (CI) was reported. RESULTS: Among 358 street adolescents, 44% (38.9-49.5) and 56% (50.8-61.4) were thin and stunted, respectively. Thinness among street children could be associated with a longer stay on the street (AOR, 1.65; 95% CI, 1.40-1.90), infrequent meal frequency (AOR, 1.32; 95% CI, 1.19-1.45), unprotected drinking water sources (AOR, 1.55; 95% CI, 1.40-1.71), alcohol drinking (AOR, 2.92; 95% CI, 1.51-4.32), inadequately diversified diet (AOR, 1.21; 95% CI, 1.06-1.36), and illness history (AOR, 1.34; 95% CI, 1.21-1.47). Moreover, odds of stunting were significantly associated with staying on the street (AOR, 1.32; 1.10-1.54), unsafe drinking water (AOR, 1.63; 95% CI, 1.13-2.66), smoking cigarettes (AOR, 1.54; 95% CI, 1.21-2.52), dietary diversity (AOR, 2.34; 95% CI, 1.43-3.82), and acute illness (AOR, 2.12; 95% CI, 1.31-5.23). CONCLUSION: Thinness and stunting were prevalent among street children and are associated with infrequent meals, poor dietary diversity, substance abuse, unsafe water sources, and illness histories that could be targeted for multisectoral interventions.

Child undernutrition in Brazil: the wound that never healed.

OBJECTIVE: To describe the scenario of child undernutrition in Brazil and its determinants. DATA SOURCE: Narrative review of the literature with inclusion of data from population surveys, surveillance and monitoring systems, and active search in favelas and underserved communities carried out by CREN. DATA SYNTHESIS: Household surveys carried out from 1974 to 2019 indicate that undernutrition (<5 years) decreased until 2006. Underweight (W/A ≤-2 Z) and stunting (H/A ≤-2 Z) showed a decrease of 17% to 3% and 37% to 7%, respectively. After 2006, there was an increase in underweight of 53% and 76% for wasting (BMI/A ≤-2 Z), with the prevalence of stunting being stagnant at around 7%. Active search data in favelas and underserved communities show that the prevalence of stunting is 11% in those <5 years. In 2021, 30% of the population lived in poverty, 73% of which were black or brown. Stunting in black and brown children <5 years old is, respectively, 9% and 12% higher when compared to white children. Poverty decreased between 2012 and 2015 (27 to 25%), but increased again (2016=26% to 2021=30%), in parallel with food insecurity, which decreased between 2004 and 2013 (12% to 6%), but reached its worst level in the historical series (2022:15%). CONCLUSION: Despite advances, Brazil's social protection system was not able to reduce inequalities and the reversal of the trend towards decreasing child undernutrition could be observed from 2006 onwards.

Trends in chronic childhood undernutrition in Bangladesh for small domains.

Chronic childhood undernutrition, known as stunting, is an important population health problem with short- and long-term adverse outcomes. Bangladesh has made strides to reduce chronic childhood undernutrition, yet progress is falling short of the 2030 Sustainable Development Goals targets. This study estimates trends in age-specific chronic childhood undernutrition in Bangladesh's 64 districts during 1997-2018, using underlying direct estimates extracted from seven Demographic and Health Surveys in the development of small area time-series models. These models combine cross-sectional, temporal, and spatial data to predict in all districts in both survey and non-survey years. Nationally, there has been a steep decline in stunting from about three in five to one in three children. However, our results highlight significant inequalities in chronic undernutrition, with several districts experiencing less pronounced declines. These differences are more nuanced at the district-by-age level, with only districts in more socio-economically advantaged areas of Bangladesh consistently reporting declines in stunting across all age groups.

Adolescent pregnancy is associated with child undernutrition: Systematic review and meta-analysis.

Adolescent pregnancy is associated with poor fetal growth and development which, in turn, increases the risk of childhood wasting and underweight. However, evidence on how young maternal age affects childhood anthropometry beyond the neonatal period is limited. This systematic review and meta-analysis examined associations between adolescent pregnancy and child wasting and underweight and explored potential underlying social and biological factors. Peer-reviewed literature published in English since 1990 was systematically searched. Eligible studies presented data on wasting and/or underweight in children (≤59 months) born to adolescent mothers (10-19, or ≤24 years where applicable) from low- and middle-income countries. Data extraction used a predefined extraction sheet. Both meta-analysis and qualitative synthesis were performed. Of 92 identified studies, 57 were included in the meta-analysis. The meta-analysis showed that children born to adolescent versus adult mothers were at a higher risk of moderate (odds ratio [OR]: 1.12, 95% confidence interval [CI]: 1.00-1.26 p = 0.04) and severe underweight (OR: 1.21, 95% CI: 1.08-1.35 p < 0.01). Associated risk of wasting was not statistically significant: (OR: 1.05, 95% CI: 0.98-1.12 p = 0.17); severe wasting (OR: 1.16, 95% CI: 0.68-1.96 p = 0.59). These findings were supported by the qualitative synthesis. Evidence on the potential role of biological/social factors was limited, but suggested an intermediary role of maternal nutritional status which warrants further exploration. Particularly in contexts where adolescent pregnancy remains common, interventions to both delay adolescent pregnancy and improve adolescent nutritional status could help reduce the risk of undernutrition in children and contribute to breaking the intergenerational cycle of malnutrition.

Preventing chronic malnutrition in children under 2 years in rural Angola (MuCCUA trial): protocol for the economic evaluation of a three-arm community cluster randomised controlled trial.

INTRODUCTION: Chronic malnutrition is a serious problem in southern Angola with a prevalence of 49.9% and 37.2% in the provinces of Huila and Cunene, respectively. The MuCCUA (Mother and Child Chronic Undernutrition in Angola) trial is a community-based randomised controlled trial (c-RCT) which aims to evaluate the effectiveness of a nutrition supplementation plus standard of care intervention and a cash transfer plus standard of care intervention in preventing stunting, and to compare them with a standard of care alone intervention in southern Angola. This protocol describes the planned economic evaluation associated with the c-RCT. METHODS AND ANALYSIS: We will conduct a cost-efficiency and cost-effectiveness analysis nested within the MuCCUA trial with a societal perspective, measuring programme, provider, participant and household costs. We will collect programme costs prospectively using a combined calculation method including quantitative and qualitative data. Financial costs will be estimated by applying activity-based costing methods to accounting records using time allocation sheets. We will estimate costs not included in accounting records by the ingredients approach, and indirect costs incurred by beneficiaries through interviews, household surveys and focus group discussions. Cost-efficiency will be estimated as cost per output achieved by combining activity-specific cost data with routine data on programme outputs. Cost-effectiveness will be assessed as cost per stunting case prevented. We will calculate incremental cost-effectiveness ratios comparing the additional cost per improved outcome of the different intervention arms and the standard of care. We will perform sensitivity analyses to assess robustness of results. ETHICS AND DISSEMINATION: This economic evaluation will provide useful information to the Angolan Government and other policymakers on the most cost-effective intervention to prevent stunting in this and other comparable contexts. The protocol was approved by the República de Angola Ministério da Saúde Comité de Ética (27C.E/MINSA.INIS/2022). The findings of this study will be disseminated within academia and the wider policy sphere. TRIAL REGISTRATION NUMBER: ClinicalTrials.gov Registry (NCT05571280).

Bayesian multilevel modelling of the association between socio-economic status and stunting among under-five-year children in Tanzania.

BACKGROUND: Stunting is associated with socioeconomic status (SES) which is multidimensional. This study aimed to compare different SES indices in predicting stunting. METHODS: This was the secondary data analysis using Tanzania Demographics and Health Surveys (TDHS). The study used 7492, 6668, and 8790 under-five-year children from TDHS 2004/5, 2010, and 2015/16, respectively. The Household Wealth Index (HWI); Water and Sanitation, Assets, Maternal education and Income (WAMI); Wealth Assets, Education, and Occupation (WEO); and the Multidimensional Poverty Index (MPI) indices were compared. The summated scores, principal component analysis (PCA), and random forest (RF) approaches were used to construct indices. The Bayesian and maximum likelihood multilevel generalized linear mixed models (MGLMM) were constructed to determine the association between each SES index and stunting. RESULTS: The study revealed that 42.3%, 38.4%, and 32.4% of the studied under-five-year children were stunted in 2004/5, 2010, and 2015/16, respectively. Compared to other indicators of SES, the MPI had a better prediction of stunting for the TDHS 2004/5 and 2015/16, while the WAMI had a better prediction in 2010. For each score increase in WAMI, the odds of stunting were 64% [BPOR = 0.36; 95% CCI 0.3, 0.4] lower in 2010, while for each score increase in MPI there was 1 [BPOR = 1.1; 95% CCI 1.1, 1.2] times higher odds of stunting in 2015/16. CONCLUSION: The MPI and WAMI under PCA were the best measures of SES that predict stunting. Because MPI was the best predictor of stunting for two surveys (TDHS 2004/5 and 2015/16), studies dealing with stunting should use MPI as a proxy measure of SES. Use of BE-MGLMM in modelling stunting is encouraged. Strengthened availability of items forming MPI is inevitable for child growth potentials. Further studies should investigate the determinants of stunting using Bayesian spatial models to take into account spatial heterogeneity.

[Attaching great importance to the scientific assessment of short stature in children]. / 高度重视儿童矮身材的科学评估.

Short stature is a common physical developmental abnormality in children. Without timely and accurate diagnosis, as well as early intervention, it can impose a heavy burden on the children and their families. There are numerous causes for short stature, and the diagnostic process essentially involves identifying its underlying causes. Based on a thorough understanding of the regular patterns of child physical development and the characteristics of individuals at high risk of short stature, a scientific definition of short stature needs to be established, along with standardized diagnostic and treatment protocols, to achieve early diagnosis or referral for short stature. Furthermore, it is necessary to enhance scientific awareness of short stature among parents and primary care pediatricians, in order to avoid over-treatment, missed diagnoses, and misdiagnoses arising from "misconceptions", and to improve the scientific assessment of short stature.

Economic Growth and Childhood Malnutrition in Low- and Middle-Income Countries.

Importance: Economic growth may reduce childhood malnutrition through improvements of several contributing factors, but the empirical evidence is mixed. Identifying the most important factors that contribute to child malnutrition and their associations with economic growth can inform decision-making about targeted investments to improve children's health. Objective: To assess the associations between economic growth and malnutrition, contributing factors and malnutrition, and economic growth and contributing factors of malnutrition in low- and middle-income countries (LMICs). Design, Setting, and Participants: This cross-sectional study used data from 239 Demographic and Health Surveys from January 1, 1990, to December 31, 2021. Observations included 1 138 568 children aged 0 to 35 months with valid anthropometric measures and information on contributing factors of malnutrition from 58 LMICs. Data were analyzed from May 20, 2022, to February 16, 2023. Exposure: National per-capita gross domestic product (GDP) was used as a proxy for economic growth. Main Outcomes and Measures: Six measures of childhood malnutrition were constructed: stunting (height-for-age z score <-2), underweight (weight-for-age z score <-2), wasting (weight-for-height z score <-2), overweight (weight-for-height z score >2), obesity (weight-for-height z score >3), and dietary diversity failure (consumption of less than 5 of 8 different food groups in the past 24 hours). Eighteen contributing factors of malnutrition were constructed, of which 10 were underlying determinants (eg, access to improved sanitation) and 8 were immediate determinants (eg, breastfeeding initiation). Results: A total of 1 138 568 children (mean [SD] age, 17.14 [10.26] months; 579 589 [50.9%] boys and 558 979 [49.1%] girls) were included in the analysis. Of these, 27.3% (95% CI, 27.2%-27.4%) had stunting; 25.7% (95% CI, 25.6%-25.8%), underweight; 11.2% (95% CI, 11.1%-11.2%), wasting; 3.8% (95% CI, 3.7%-3.8%), overweight; 1.1% (95% CI, 1.1%-1.1%), obesity; and 79.8% (95% CI, 79.7%-79.9%), dietary diversity failure. Per-capita GDP was weakly associated with childhood malnutrition. The odds ratios associated with a 5% increase in per-capita GDP were 0.99 (95% CI, 0.99-1.00) for stunting, 1.01 (95% CI, 1.00-1.01) for wasting, 1.00 (95% CI, 1.00-1.00) for underweight, 0.98 (95% CI, 0.98-0.98) for overweight, 0.98 (95% CI, 0.97-0.98) for obesity, and 1.03 (95% CI, 1.01-1.04) for dietary diversity failure. Although strong associations were found between many contributing factors and most outcomes for malnutrition, associations identified between per-capita GDP and these contributing factors themselves were ambiguous. Conclusions and Relevance: In this multicountry cross-sectional study, economic growth was weakly associated with childhood malnutrition and several contributing factors. To reduce child malnutrition, economic growth may need to be accompanied by more targeted investments to improve contributing factors that are strongly associated with child malnutrition, such as maternal health and education.

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.