Anemia Prevalence and Socioeconomic Status among Adolescent Girls in Rural Western India: A Cross-Sectional Study.

Background: Anemia poses a significant challenge among Indian adolescent girls due to their heightened vulnerability, resulting from increased micronutrient requirements, rapid physical growth, menstrual blood loss, inadequate nutrition, and socioeconomic disparities. This study sought to evaluate the prevalence of anemia, along with socioeconomic and nutritional statuses among adolescent girls attending rural public schools in Pune, India. Methods: A sample of 400 girls was selected from 22 villages through Symbiosis International University. Hemoglobin levels were assessed using the HemoCue 201 system, while standardized protocols were employed for height, weight, and BMI-for-age measurements. Socioeconomic status was determined using the Kuppuswamy scale. Results: The findings revealed an overall anemia prevalence of (42.75%), comprising severe (2.5%), moderate (21%) and mild (20.25%) cases. Additionally, a substantial proportion (74.6%) of girls were classified as underweight. Socioeconomic analysis disclosed that 64.25% of families belonged to the lower middle class, and 27% in the upper lower class. Anemia was more prevalent in young adolescent girls (10-14 years) and in the families of adolescents who had low income, were illiterate, unemployed, and belonged to the lower-middle class and upper-lower-class socio-economic status (SES) and did not have a bank account. Conclusion: Anemia was prevalent in adolescent girls and associated with low SES. This study underscores the limitations of relying solely on the distribution of iron and folic acid tablets to combat anemia. A holistic strategy is imperative, encompassing improvements in SES of families (literacy, employment and income), as well as initiatives aimed at enhancing the nutritional status of adolescent girls.

Regional Disparity and Determinants of Body Mass Index Status among Tribal Women in Eastern India.

The body mass index (BMI) is a commonly employed metric for determining the nutritional status and health risks associated with weight. Tribal women in India face neglect and discrimination in terms of livelihood, nutrition, education, wealth, and health-care access. The study examined 18,697 tribal women from Bihar, West Bengal, Jharkhand, and Odisha, using data from the National Family Health Survey-5. Multinomial logistic regression has been used to determine how the multiple background factors are associated with the BMI of tribal women. The study found that the prevalence of underweight and overweight was 28.5% and 7.6% among tribal women, respectively. Rural tribal women had a higher likelihood of being underweight, whereas urban women were more likely to be overweight. Odisha had a higher prevalence of underweight tribal women, whereas the prevalence is lower in Bihar. The higher prevalence of underweight among tribal women is alarming and necessitates a reconsideration of health infrastructure in the tribal areas.

Age- and height-dependent bias of underweight and overweight assessment standards for children and adolescents.

Background: Precision in evaluating underweight and overweight status among children and adolescents is paramount for averting health and developmental issues. Existing standards for these assessments have faced scrutiny regarding their validity. This study investigates the age and height dependencies within the international standards set by the International Obesity Task Force (IOTF), relying on body mass index (BMI), and contrasts them with Japanese standards utilizing the percentage of overweight (POW). Method: We scrutinized a comprehensive database comprising 7,863,520 children aged 5-17 years, sourced from the School Health Statistics Research initiative conducted by Japan's Ministry of Education, Culture, Sports, Science, and Technology. Employing the quantile regression method, we dissected the structure of weight-for-height distributions across different ages and sexes, quantifying the potentially biased assessments of underweight and overweight status by conventional criteria. Results: Applying IOFT criteria for underweight assessment revealed pronounced height dependence in males aged 11-13 and females aged 10-11. Notably, a discernible bias emerged, wherein children in the lower 25th percentile were classified as underweight five times more frequently than those in the upper 25th percentile. Similarly, the overweight assessment displayed robust height dependence in males aged 8-11 and females aged 7-10, with children in the lower 25th percentile for height deemed obese four or five times more frequently than their counterparts in the upper 25th percentile. Furthermore, using the Japanese POW criteria for assessment revealed significant age dependence in addition to considerably underestimating the percentage of underweight and overweight cases under the age of seven. However, the height dependence for the POW criterion was smaller than the BMI criterion, and the difference between height classes was less than 3-fold. Conclusion: Our findings underscore the intricacies of age-dependent changes in body composition during the growth process in children, emphasizing the absence of gold standards for assessing underweight and overweight. Careful judgment is crucial in cases of short or tall stature at the same age, surpassing sole reliance on conventional criteria results.

Analyzing the impact of an MDG-Fund program on childhood malnutrition in Timor-Leste.

BACKGROUND: Timor-Leste's food insecurity, propelled by political conflicts, a fragile economy and biophysical limitations that characterize mountainous Small Island Developing States (SIDS), is expressed in a high incidence (50%) of stunted children. Hence, the Millennium Development Goals Achievement Fund's Joint Program's (MDG-F JP) in 2009 was a timely intervention to reduce prevalence of underweight among under-fives. Since the impact of the program remains largely unclear, the current study investigates the contributions of the MDG-F JP on improving children's nutritional status in Timor-Leste, in order to inform policymakers on how to make future programs more effective. METHODS: Using bivariate analyses and multiple linear regression models we analyzed Demographic and Health Survey (DHS) data from under-fives in 2009-2010 and 2016, combined with spatially explicit data from geographic information systems (GIS). The analyses generated trends and factors associated with undernutrition, which were used in a quasi-experimental setting to compare districts that received the MDG-F JP with similar districts that did not receive MDG-F JP interventions. RESULTS: A comprehensive set of factors dependent on seasons, locations, and individuals determine undernutrition in Timor-Leste. A positive impact of the MDG-F JP was found for the average severity of wasting, but not for stunting and underweight. CONCLUSIONS: The findings reinforce the pressing need for integrated and cross-sectoral programs, aimed especially at agricultural workers, mothers, and children. The agricultural challenge is to sustainably select, produce and conserve higher-yield and nutrient-rich crops, and educational enhancement should be aligned with local practices and research.

Bayesian modeling of quantiles of body mass index among under-five children in Ethiopia.

BACKGROUND: Body Mass Index (BMI) is a measurement of nutritional status, which is a vital pre-condition for good health. The prevalence of childhood malnutrition and the potential long-term health risks associated with obesity in Ethiopia have recently increased globally. The main objective of this study was to investigate the factors associated with the quantiles of under-five children's BMI in Ethiopia. METHODS: Data on 5,323 children, aged between 0-59 months from March 21, 2019, to June 28, 2019, were obtained from the Ethiopian Mini Demographic Health Survey (EMDHS, 2019), based on the standards set by the World Health Organization. The study used a Bayesian quantile regression model to investigate the association of factors with the quantiles of under-five children's body mass index. Markov Chain Monte Carlo (MCMC) with Gibbs sampling was used to estimate the country-specific marginal posterior distribution estimates of model parameters, using the Brq R package. RESULTS: Out of a total of 5323 children included in this study, 5.09% were underweight (less than 12.92 BMI), 10.05% were overweight (BMI: 17.06 - 18.27), and 5.02% were obese (greater than or equal to 18.27 BMI) children's. The result of the Bayesian quantile regression model, including marginal posterior credible intervals (CIs), showed that for the prediction of the 0.05 quantile of BMI, the current age of children [ ß = -0.007, 95% CI :(-0.01, -0.004)], the region Afar [ ß = - 0.32, 95% CI: (-0.57, -0.08)] and Somalia[ ß = -0.72, 95% CI: (-0.96, -0.49)] were negatively associated with body mass index while maternal age [ ß = 0.01, 95% CI: (0.005, 0.02)], mothers primary education [ ß = 0.19, 95% CI: (0.08, 0.29)], secondary and above [ ß = 0.44, 95% CI: (0.29, 0.58)], and family follows protestant [ ß = 0.22, 95% CI: (0.07, 0.37)] were positively associated with body mass index. In the prediction of the 0.95 (or 0.85?) quantile of BMI, in the upper quantile, still breastfeeding [ ß = -0.25, 95% CI: (-0.41, -0.10)], being female [ ß = -0.13, 95% CI: (-0.23, -0.03)] were negatively related while wealth index [ ß = 0.436, 95% CI: (0.25, 0.62)] was positively associated with under-five children's BMI. CONCLUSIONS: In conclusion, the research findings indicate that the percentage of lower and higher BMI for under-five children in Ethiopia is high. Factors such as the current age of children, sex of children, maternal age, religion of the family, region and wealth index were found to have a significant impact on the BMI of under-five children both at lower and upper quantile levels. Thus, these findings highlight the need for administrators and policymakers to devise and implement strategies aimed at enhancing the normal or healthy weight status among under-five children in Ethiopia.

Nutritional status of infants and young children in India across three decades: Analysis of five national family health surveys.

BACKGROUND: Three indicators of early childhood undernutrition and associated factors are evaluated among under-5 children in five National Family Health Surveys in India spanning 1992 to 2021. METHODS: Data for 533,495 children under 5 years of age (U-5) were analysed in the context of three commonly used indicators of early childhood undernutrition - wasting, stunting and underweight. In addition to descriptive and inferential statistics, binary logistic regression was used to estimate the effects of specific explanatory factors on the three indicators using adjusted odds ratios. RESULTS: Over the three-decade interval, stunting was reduced by 22.1% in boys and 20.9% in girls, followed by underweight, 19.3% in boys and 17.4% in girls; wasting, in contrast, was reduced to a considerably lesser extent, 2.8% in boys and 0.9% in girls. Demographic, maternal and socioeconomic factors were associated with the incidence of early childhood undernutrition, specifically among young mothers and those with less education in low-income families, and among children from Scheduled Tribes or Scheduled Castes. Stunting and underweight declined significantly over the past three decades while wasting changed negligibly. The disparity in the occurrence of early childhood undernutrition was apparent throughout socioeconomic categories and regions of India. CONCLUSIONS: The results highlight the need for special programs aimed at reducing waste among children and also the need for customized initiatives focused on the improvement of maternal education and wealth in addition to other ancillary factors related to regional variation.

The association between body mass index and health-related quality of life in the 2017 and 2018 health survey of England data: A cross-sectional observational analysis.

AIM: To provide an updated estimate of the association between body mass index (BMI) and health-related quality of life (HRQoL) among the general population in England and to identify population subgroups with the highest potential utility gains from obesity interventions. MATERIALS AND METHODS: The sample included 12 158 adults with valid HRQoL and BMI data from the 2017 and 2018 Health Survey for England. Robust standard error linear regression, controlling for demographic and socioeconomic characteristics, lifestyle behaviours and obesity-related comorbidities, was used for the baseline analysis. Robustness checks assessed the impact of (a) estimator selection; (b) model specifications; (c) statistical outliers at high BMI; (d) potential BMI measurement error; and (e) data pooling. RESULTS: The study found a significant association between HRQoL and BMI, which exhibited an inverted U-shaped relationship. The mean HRQoL peaked at 25.7 kg/m2 in men and 22.6 kg/m2 in women and was reduced in the underweight, overweight and obesity BMI ranges. Sensitivity analyses reported similar coefficients, suggesting a robust model specification. CONCLUSIONS: Reduced HRQoL beyond optimal BMI underlines the importance of maintaining a normal BMI range for overall health. The rising prevalence of class III obesity is a major public health concern given its disproportionate impact on health, health care utilization and costs. Obesity management is key to preventing the reduction in HRQoL associated with obesity-related comorbidities, and this analysis supports the development of targeted policies and population health initiatives for people with class III obesity.

Impact of being underweight before pregnancy on preterm birth by race/ethnicity and insurance status in California: an analysis of birth records.

BACKGROUND: The US still has a high burden of preterm birth (PTB), with important disparities by race/ethnicity and poverty status. There is a large body of literature looking at the impact of pre-pregnancy obesity on PTB, but fewer studies have explored the association between underweight status on PTB, especially with a lens toward health disparities. Furthermore, little is known about how weight, specifically pre-pregnancy underweight status, and socio-economic-demographic factors such as race/ethnicity and insurance status, interact with each other to contribute to risks of PTB. OBJECTIVES: The objective of this study was to measure the association between pre-pregnancy underweight and PTB and small for gestational age (SGA) among a large sample of births in the US. Our secondary objective was to see if underweight status and two markers of health disparities - race/ethnicity and insurance status (public vs. other) - on PTB. STUDY DESIGN: We used data from all births in California from 2011 to 2017, which resulted in 3,070,241 singleton births with linked hospital discharge records. We ran regression models to estimate the relative risk of PTB by underweight status, by race/ethnicity, and by poverty (Medi-cal status). We then looked at the interaction between underweight status and race/ethnicity and underweight and poverty on PTB. RESULTS: Black and Asian women were more likely to be underweight (aRR = 1.0, 95% CI: 1.01, 1.1 and aRR = 1.4, 95% CI: 1.4, 1.5, respectively), and Latina women were less likely to be underweight (aRR = 0.7, 95% CI: 0.7, 0.7). Being underweight was associated with increased odds of PTB (aRR = 1.3, 95% CI 1.3-1.3) and, after controlling for underweight, all nonwhite race/ethnic groups had increased odds of PTB compared to white women. In interaction models, the combined effect of being both underweight and Black, Indigenous and People of Color (BIPOC) statistically significantly reduced the relative risk of PTB (aRR = 0.9, 95% CI: 0.8, 0.9) and SGA (aRR = 1.0, 95% CI: 0.9, 1.0). The combined effect of being both underweight and on public insurance increased the relative risk of PTB (aRR = 1.1, 95% CI: 1.1, 1.2) but there was no additional effect of being both underweight and on public insurance on SGA (aRR = 1.0, 95% CI: 1.0, 1.0). CONCLUSIONS: We confirm and build upon previous findings that being underweight preconception is associated with increased risk of PTB and SGA - a fact often overlooked in the focus on overweight and adverse birth outcomes. Additionally, our findings suggest that the effect of being underweight on PTB and SGA differs by race/ethnicity and by insurance status, emphasizing that other factors related to inequities in access to health care and poverty are contributing to disparities in PTB.

Trends in underweight and severe underweight disparities in Korean adults and older adults: a nationwide, repeated cross-sectional study.

OBJECTIVES: Little is known about the disparities in underweight prevalence among the general population in high-income countries. We investigated the trends in underweight prevalence and disparities across sociodemographic groups among Korean adults and older adults. SETTING AND PARTICIPANTS: A series of cross-sectional data on Korean national health checkups for adults aged ≥20 years were analyzed from 2005 to 2016. MEASUREMENTS: Based on body mass index (kg/m2), underweight was graded as mild (17.0-18.49), moderate (16.0-16.9), and severe (<16.0). Underweight prevalence was compared across sociodemographic subgroups in 2015-2016. Trends in underweight disparities were examined from 2005-2006 to 2015-2016. Multivariable-adjusted odds ratios (ORs; 95% confidence intervals, CIs) were calculated using logistic regression. RESULTS: Approximately 11-22 million adults were included in each wave. In 2015-2016, the overall prevalence of underweight was 3.6% (men 2.0%, women 5.2%); severe underweight was 0.2% (men 0.1%, women 0.3%). The prevalence of underweight varied by sex and age groups. In men, those aged ≥80 years had the highest prevalence (overall 7.33%, severe underweight 0.84%). In women, those aged 20-29 years had the highest prevalence of overall underweight (14.57%), whereas those aged ≥80 years had the highest prevalence of severe underweight (1.38%). Compared with individuals in the lowest income quartile, men in the highest income had lower ORs of overall (0.59, 95% CI 0.59-0.60) and severe underweight (0.46, 95% CI 0.44-0.48); women in the highest income quartile had a higher OR of overall (1.12, 95% CI 1.12-1.13) but a lower OR of severe underweight (0.89, 95% CI 0.86-0.92). From 2005-2006 to 2015-2016, severe underweight consistently declined in older men but remained constant in women aged ≥80 years, widening sex disparities among older adults. Severe underweight decreased or leveled off in the highest income quartile but steadily increased in the lowest quartile, worsening income disparities. CONCLUSION: In this nationwide study, underweight was more prevalent among women, older adults aged ≥80 years, and low-income individuals. Disparities in severe underweight widened across sociodemographic subgroups over time.

Efficacy of the enhanced recovery after surgery protocol on reducing surgical disparities related to overweight/obesity in deep inferior epigastric perforator flap breast reconstruction.

BACKGROUND: When choosing a method of deep inferior epigastric perforator (DIEP) flap for breast reconstruction, concerns regarding the potentially detrimental effects of obesity on postoperative recovery remain. Enhanced recovery after surgery (ERAS) is known to facilitate rapid postoperative recovery. This study aimed to examine the effect of the ERAS protocol on the disparity between normal/underweight and overweight/obese patients after DIEP flap breast reconstruction. METHODS: A retrospective review of consecutive patients who underwent DIEP flap breast reconstruction between January 2015 and November 2022 was conducted. The patients were categorized into two groups: pre-ERAS and post-ERAS. In each group, associations between overweight/obese patients (BMI ≥25 kg/m2 ) and postoperative course were evaluated. RESULTS: In total, 217 patients in the pre-ERAS group (including 71 overweight/obese) and 165 in the post-ERAS group (including 58 overweight/obese) were analyzed. The post-ERAS group had shorter length of stay (LOS) (8.0 versus 7.0 days, p-value <.001) and lower postoperative pain scores (5.0 versus 3.0 at postoperative day (POD) 1, p-value <.001) than the pre-ERAS group. The complication profiles did not differ according to ERAS adoption. In the pre-ERAS group, overweight/obese patients showed a significantly longer LOS (8.0 versus 9.0 days, p-value = .017) and a higher postoperative pain score (3.0 versus 4.0 at POD 2, p-value = .018) than normal/underweight patients; however, these differences disappeared in the post-ERAS group, showing similar LOS, pain scores, and analgesic consumption. CONCLUSIONS: Implementation of the ERAS protocol in DIEP free-flap breast reconstruction may reduce overweight/obesity-related disparities in postoperative recovery.

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.

Socioeconomic inequalities in underweight children: a cross-sectional analysis of trends in West Africa over two decades.

OBJECTIVE: To study trends in socioeconomic inequalities in underweight children in West Africa, and specifically to analyse the concentration index of underweight inequalities and measure inequalities in the risk of being malnourished by household wealth index. DESIGN: Cross-sectional study. SETTING: The study used 50 Demographic and Health Surveys (DHS) and Multiple Indicator Cluster Surveys conducted between 1999 and 2020 across 14 countries by the DHS and UNICEF. PARTICIPANTS: The study included 481 349 children under the age of 5 years. PRIMARY AND SECONDARY OUTCOME MEASURES: The analysis used three variables: weight-for-age index, household wealth index and household residence. The inequality concentration index for underweight children and the relative risk of being underweight between 2000 and 2020 were calculated. RESULTS: The prevalence of underweight in West Africa showed a downward trend from 2000 to 2020. Nonetheless, the prevalence of underweight children under 5 years of age is still very high in West Africa compared with other sub-Saharan African countries, and the sustainable development objective is yet to be achieved. There was a wide disparity among countries and significant socioeconomic inequalities in underweight children within countries. The proportions of underweight children were concentrated in poor households in all countries in West Africa and over all periods. Socioeconomic inequalities in underweight children were more significant in countries where the prevalence of underweight was low. These inequalities were more pronounced in urban areas in West Africa from 2000 to 2020. CONCLUSIONS AND RELEVANCE: There is a high concentration of socioeconomic inequalities in underweight children in disadvantaged households in West Africa.

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.

Implication of grip strength assessment for the management of body weight in disability prevention in older adults.

BACKGROUND: Although body mass index (BMI) and grip strength (GS) are both predictors of disability, their joint effect on predicting incident disability remains uncertain. We examined whether the effect of BMI on incident disability can be modulated by GS in community-dwelling older people in Japan. METHODS: A total of 1486 community-dwellers in Japan (731 men and 755 women, aged 65-82 years) who participated in the 2nd to 7th waves of the National Institute for Longevity Sciences-Longitudinal Study of Aging (NILS-LSA) project, were followed up to 20 years. Twelve subgroups were created according to the intersections of GS (sex-specific tertiles: low, intermediate, and high) and BMI (underweight 1, <18.5; underweight 2, 18.5-<21.5; normal, 21.5-<25.0; and overweight/obese, ≥25.0 kg/m2 ). Incident disability was defined as requiring care need level 1 or higher, as per the long-term care insurance system in Japan. The hazard ratios (HR) and corresponding 95% confidence intervals (CI) of incident disability (the 'high GS-normal BMI' subgroup was used as the reference) were calculated using a multivariable-adjusted Cox proportional hazards model. The model was adjusted for baseline characteristics on sex, participation wave, smoking, depressive symptoms, total physical activity, disease history, education level, residential status, and energy intake. RESULTS: Compared with that for participants in the 'high GS-normal BMI' group, the risk of incident disability was higher for participants in the 'low GS-normal BMI', 'low GS-overweight/obese', 'intermediate GS-underweight 1' and 'intermediate GS-overweight/obese' groups. The multivariable-adjusted HR (95% CI) were 1.72 (1.27-2.32, P value<0.001), 1.81 (1.27-2.58, P value = 0.001), 2.42 (1.35-4.32, P value = 0.003) and 1.53 (1.06-2.20, P value = 0.023), respectively. The results did not change substantially when participants with disability occurring within 1 and 2 years of follow-up were excluded, or when the competing events were death without incident disability or dementia. CONCLUSIONS: The joint effect of BMI and GS was more pronounced in those of normal weight or overweight/obese status and low GS, along with underweight or overweight/obese status and intermediate GS in predicting disability. The lack of observed joint effect for those underweight with low GS was likely due to insufficient sample size. GS consideration is necessary for weight management in older adults, and interventions for individuals who are underweight or overweight/obese with adequate GS need not be prioritized for disability prevention.

Disparities in the Diagnosis and Management of Infants Hospitalized With Inadequate Weight Gain.

OBJECTIVES: To evaluate the association between race and the named etiology for inadequate weight gain among hospitalized infants and assess the differences in management. METHODS: This single-center retrospective cohort study of infants hospitalized for the workup and management of inadequate weight gain used infant race and neighborhood-level socioeconomic deprivation as exposures. The etiology of inadequate weight gain was categorized as nonorganic, subjective organic (ie, gastroesophageal reflux and cow's milk protein intolerance), or objective organic (eg, hypothyroidism). The management of inadequate weight gain was examined in secondary outcomes. RESULTS: Among 380 infants, most were white and had a nonorganic etiology of inadequate weight gain. Black infants had 2.3 times higher unadjusted odds (95% credible interval [CI] 1.17-4.76) of a nonorganic etiology of inadequate weight gain compared with white infants. After adjustment, there was no association between race and etiology (adjusted odds ratio 0.8, 95% CI [0.44-2.08]); however, each 0.1 increase in neighborhood-level deprivation was associated with 80% increased adjusted odds of a nonorganic etiology of inadequate weight gain (95% CI [1.37-2.4]). Infants with a nonorganic etiology of inadequate weight gain were more likely to have social work and child protective service involvement and less likely to have nasogastric tube placement, gastroenterology consults, and speech therapy consults. CONCLUSIONS: Infants from neighborhoods with greater socioeconomic deprivation were more likely to have nonorganic causes of inadequate weight gain, disproportionately affecting infants of Black race. A nonorganic etiology was associated with a higher likelihood of social interventions and a lower likelihood of medical interventions.

Disparities in Medical Assessment Practices for Adolescents at Risk for Eating Disorders.

PURPOSE: The United States Preventative Services Task Force found insufficient evidence to support universal screening for eating disorders (EDs) but did recommend assessing high-risk adolescents through laboratory tests, close follow-up, and referrals to other specialties. Yet, it is unclear whether youth at high risk for EDs receive such assessment and whether patient characteristics influence such practices. METHODS: Using the Rochester Epidemiological Project, we identified adolescents (13-18 years) at risk for EDs (i.e., weight loss, underweight, or loss of appetite not explained by a medical condition) who presented for a medical appointment between January 1, 2005 to December 31, 2017 (n = 662; M age = 15.8 years; 66% female; 76% white). Patient and visit characteristics, assessment practices (i.e., tests, referrals, and follow-up), and ED diagnoses within 5 years following index visit were extracted. RESULTS: Adolescents who received referrals to other providers were 4 times more likely to be diagnosed with a future ED (p < .001) and were diagnosed 137.8 days sooner (Est = -137.8, p = .04) compared to those who did not receive referrals. Compared to males, females were 2.2 times more likely to receive referrals (p < .001). Compared to those presenting at a lower body mass index, adolescents with a higher body mass index were more likely to receive medical tests (HR = 1.0, p < .01) and less likely to receive recommendations to improve eating/weight (HR = 0.99, p < .01) or follow up visits (HR = 0.99, p < .01). DISCUSSION: Disparities in assessment practices for adolescents at high-risk for EDs underscore the need for improved tools to enhance early detection and treatment.

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.

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.

Covariate dependent Markov chains constructed with gradient boost modeling can effectively generate long-term predictions of obesity trends.

IMPORTANCE: The prevalence of obesity among United States adults has increased from 30.5% in 1999 to 41.9% in 2020. However, despite the recognition of long-term weight gain as an important public health issue, there is a paucity of studies studying the long-term weight gain and building models for long-term projection. METHODS: A retrospective, cross-sectional cohort study using the publicly available National Health and Nutrition Examination Survey (NHANES 2017-2020) was conducted in patients who completed the weight questionnaire and had accurate data for both weight at time of survey and weight ten years ago. Multistate gradient boost modeling classifiers were used to generate covariate dependent transition matrices and Markov chains were utilized for multistate modeling. RESULTS: Of the 6146 patients that met the inclusion criteria, 3024 (49%) of patients were male and 3122 (51%) of patients were female. There were 2252 (37%) White patients, 1257 (20%) Hispanic patients, 1636 (37%) Black patients, and 739 (12%) Asian patients. The average BMI was 30.16 (SD = 7.15), the average weight was 83.67 kilos (SD = 22.04), and the average weight change was a 3.27 kg (SD = 14.97) increase in body weight (Fig. 1). A total of 2411 (39%) patients lost weight, and 3735 (61%) patients gained weight (Table 1). We observed that 87 (1%) of patients were underweight (BMI < 18.5), 2058 (33%) were normal weight (18.5 ≤ BMI < 25), 1376 (22%) were overweight (25 ≤ BMI < 30) and 2625 (43%) were obese (BMI > 30). From analysis of the transitions between normal/underweight, overweight, and obese, we observed that after 10 years, of the patients who were underweight, 65% stayed underweight, 32% became normal weight, 2% became overweight, and 2% became obese. After 10 years, of the patients who were normal weight, 3% became underweight, 78% stayed normal weight, 17% became overweight, and 2% became obese. Of the patients who were overweight, 71% stayed overweight, 0% became underweight, 14% became normal weight, and 15% became obese. Of the patients who were obese, 84% stayed obese, 0% became underweight, 1% became normal weight, and 14% became overweight. CONCLUSIONS: United States adults are at risk of transitioning from normal weight to becoming overweight or obese. Covariate dependent Markov chains constructed with gradient boost modeling can effectively generate long-term predictions.

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.