Prevention Growth Charts Research Articles

Intermittent Energy Restriction for Adolescents With Obesity

Adolescent obesity requires effective and accessible treatment. Intensive dietary interventions have the potential to be used as adjunctive therapy for behavioral weight management. To examine the effectiveness of 2 diet therapies, delivered as part of an intensive behavioral weight management intervention, in adolescents with metabolic complications associated with obesity. This multisite, 52-week randomized clinical trial was conducted from January 31, 2018, to March 31, 2023, at 2 tertiary pediatric centers in Australia. Adolescents (aged 13-17 years) with obesity and 1 or more associated complications were included. Intensive behavioral interventions, delivered by a multidisciplinary team, comparing intermittent energy restriction (IER) or continuous energy restriction (CER), with 3 phases: very low-energy diet (weeks 0-4), intensive intervention (weeks 5-16), and continued intervention and/or maintenance (weeks 17-52). The primary outcome was body mass index (BMI) z score at 52 weeks in the IER vs CER group. Anthropometry, body composition, and cardiometabolic health were assessed at baseline and 52 weeks. The BMI z score and percentiles were determined using Centers for Disease Control and Prevention growth charts. Insulin resistance, dyslipidemia, and elevated hepatic function were assessed. A total of 141 adolescents (median [IQR] age, 14.8 [12.9-17.9] years; 71 male [50.4%]) were enrolled, 71 in the IER group and 70 in the CER group, and 97 (68.8%) completed the intervention, 43 in the IER group and 54 in the CER group. At week 52, both groups had reduced BMI z scores (estimated marginal mean change, -0.28 [95% CI, -0.37 to -0.20] for IER and -0.28 [95% CI, -0.36 to -0.20] for CER) and reduced BMI expressed as a percentage of the 95th percentile (estimated marginal mean change, -9.56 [95% CI, -12.36 to -6.83] for IER and -9.23 [95% CI, -11.82 to -6.64] for CER). No differences were found in body composition or cardiometabolic outcomes between the groups. Both groups had a reduction in the occurrence of insulin resistance (from 52 of 68 [76.5%] to 32 of 56 [57.1%] in the IER group and from 59 of 68 [86.8%] to 31 of 60 [57.1%] in the CER group) at week 16; however, at week 52, this effect was observed in the CER group only (from 59 of 68 [86.7%] to 30 of 49 [61.2%]). The occurrence of dyslipidemia was unchanged between baseline and week 52 (60 of 137 [42.6%] and 37 of 87 [42.5%], respectively), with a small improvement in occurrence of impaired hepatic function tests (37 of 139 [27.0%] and 15 of 87 [17.2%], respectively). No differences were found in dyslipidemia or hepatic function between groups. These findings suggest that for adolescents with obesity-associated complications, IER can be incorporated into a behavioral weight management program, providing an option in addition to CER and offering participants more choice. http://anzctr.org.au Identifier: ACTRN12617001630303.

Sweetened Beverage Tax Implementation and Change in Body Mass Index Among Children in Seattle

Sweetened beverage taxes have been associated with reduced purchasing of taxed beverages. However, few studies have assessed the association between sweetened beverage taxes and health outcomes. To evaluate the association between the Seattle sweetened beverage tax and change in body mass index (BMI) among children. In this longitudinal cohort study, anthropometric data were obtained from electronic medical records of 2 health care systems (Kaiser Permanente Washington [KP] and Seattle Children's Hospital Odessa Brown Children's Clinic [OBCC]). Children were included in the study if they were aged 2 to 18 years (between January 1, 2014, and December 31, 2019); had at least 1 weight measurement every year between 2015 and 2019; lived in Seattle or in urban areas of 3 surrounding counties (King, Pierce, and Snohomish); had not moved between taxed (Seattle) and nontaxed areas; received primary health care from KP or OBCC; did not have a recent history of cancer, bariatric surgery, or pregnancy; and had biologically plausible height and BMI (calculated as weight in kilograms divided by height in meters squared). Data analysis was conducted between August 5, 2022, and March 4, 2024. Seattle sweetened beverage tax (1.75 cents per ounce on sweetened beverages), implemented on January 1, 2018. The primary outcome was BMIp95 (BMI expressed as a percentage of the 95th percentile; a newly recommended metric for assessing BMI change) of the reference population for age and sex, using the Centers for Disease Control and Prevention growth charts. In the primary (synthetic difference-in-differences [SDID]) model used, a comparison sample was created by reweighting the comparison sample to optimize on matching to pretax trends in outcome among 6313 children in Seattle. Secondary models were within-person change models using 1 pretax measurement and 1 posttax measurement in 22 779 children and fine stratification weights to balance baseline individual and neighborhood-level confounders. The primary SDID analysis included 6313 children (3041 female [48%] and 3272 male [52%]). More than a third of children (2383 [38%]) were aged 2 to 5 years); their mean (SE) age was 7.7 (0.6) years. With regard to race and ethnicity, 789 children (13%) were Asian, 631 (10%) were Black, 649 (10%) were Hispanic, and 3158 (50%) were White. The primary model results suggested that the Seattle tax was associated with a larger decrease in BMIp95 for children living in Seattle compared with those living in the comparison area (SDID: -0.90 percentage points [95% CI, -1.20 to -0.60]; P < .001). Results from secondary models were similar. The findings of this cohort study suggest that the Seattle sweetened beverage tax was associated with a modest decrease in BMIp95 among children living in Seattle compared with children living in nearby nontaxed areas who were receiving care within the same health care systems. Taken together with existing studies in the US, these results suggest that sweetened beverage taxes may be an effective policy for improving children's BMI. Future research should test this association using longitudinal data in other US cities with sweetened beverage taxes.

Increasing disparities in obesity and severe obesity prevalence among public elementary and middle school students in New York City, school years 2011-12 through 2019-20.

Recent national trends in the United States indicate a significant increase in childhood obesity, a major public health concern with documented physical and mental comorbidities and sociodemographic disparities. We aimed to estimate the prevalence of obesity and severe obesity among youth in New York City (NYC) before the COVID-19 pandemic and examine time trends overall and by key characteristics. We included all valid height and weight measurements of kindergarten through 8th grade public school students aged 5 to 15 from school years 2011-12 through 2019-20 (N = 1,370,890 unique students; 5,254,058 observations). Obesity and severe obesity were determined using age- and sex-specific body mass index percentiles based on the Centers for Disease Control and Prevention growth charts. Analyses were performed using multivariate logistic regression models with repeated cross-sectional observations weighted to represent the student population for each year and clustered by student and school. Among youth attending public elementary and middle schools in NYC, we estimate that 20.9% and 6.4% had obesity and severe obesity, respectively, in 2019-20. While consistent declines in prevalence were observed overall from 2011-12 to 2019-20 (2.8% relative decrease in obesity and 0.2% in severe obesity, p<0.001), increasing trends were observed among Black, Hispanic, and foreign-born students, suggesting widening disparities. Extending previous work reporting prevalence estimates in this population, nearly all groups experienced significant increases in obesity and severe obesity from 2016-17 to 2019-20 (relative change = 3.5% and 6.7%, respectively, overall; p<0.001). Yet, some of the largest increases in obesity were observed among those already bearing the greatest burden, such as Black and Hispanic students and youth living in poverty. These findings highlight the need for greater implementation of equity-centered obesity prevention efforts. Future research should consider the influence of the COVID-19 pandemic and changes in clinical guidance on childhood obesity and severe obesity in NYC.

Dissecting the complex sex-based associations of myopia with height and weight.

To assess height and weight as possible sex-specific risk factors for bilateral myopia among young adults. We conducted a cross-sectional study including 101,438 pre-enlisted young adult males and females, aged 17.4 ± 0.6 and 17.3 ± 0.5 years, respectively, and born during 1971-1994. Categories of BMI (body mass index) were defined according to sex-related percentiles for 17-year-olds following U.S. Centers for Disease Control and Prevention growth charts, and subjects were divided into five height and weight categories according to sex-adjusted percentiles. Data included best-corrected visual acuity, diverse socio-demographic variables, anthropometric indices, and refractive errors, namely bilateral myopes and emmetropes. The prevalence of bilateral myopia in males and females was 19.1% and 26.0%, respectively. Bilateral myopia displayed a J-shaped associated with BMI, achieving statistical significance only among males (p < 0.0001). Weight displayed a U-shaped association with bilateral myopia among both young males (p < 0.0001) and females (p < 0.005). A higher prevalence of bilateral myopia was observed only among males of the lower height category (p < 0.0001), even when controlling for BMI (from normal to obesity). In a multivariable regression model, obesity was associated with higher prevalence of bilateral myopia (OR: 1.21; 95% CI: 1.07-1.38, p = 0.002), only among males. There were no interactions of BMI with height or weight. Bilateral myopia was also associated with prehypertension among males (OR: 1.10, 95% CI: 1.04-1.15, p < 0.001). A higher risk for bilateral myopia was associated with either BMI solely or height and weight, as well as pre-hypertension, in males. The possible association with low height requires further research.

Trends in Severe Obesity Among Children Aged 2 to 4 Years in WIC: 2010 to 2020.

To examine the prevalence and trends in severe obesity among 16.6 million children aged 2 to 4 years enrolled in the Special Supplemental Nutrition Program for Women, Infants, and Children (WIC) from 2010 to 2020. Severe obesity was defined as a sex-specific BMI for age ≥120% of the 95th percentile on the Centers for Disease Control and Prevention growth charts or BMI ≥35 kg/m2. Joinpoint regression was used to identify when changes occurred in the overall trend. Logistic regression was used to compute the adjusted prevalence differences between years controlling for sex, age, and race and ethnicity. The prevalence of severe obesity significantly decreased from 2.1% in 2010 to 1.8% in 2016 and then increased to 2.0% in 2020. From 2010 to 2016, the prevalence decreased significantly among all sociodemographic subgroups except for American Indian/Alaska Native (AI/AN) children. The largest decreases were among 4-year-olds, Asian/Pacific Islander and Hispanic children, and children from higher-income households. However, from 2016 to 2020, the prevalence increased significantly overall and among sociodemographic subgroups, except for AI/AN and non-Hispanic white children. The largest increases occurred in 4-year-olds and Hispanic children. Among 56 WIC agencies, the prevalence significantly declined in 17 agencies, and 1 agency (Mississippi) showed a significant increase from 2010 to 2016. In contrast, 21 agencies had significant increases, and only Alaska had a significant decrease from 2016 to 2020. Although severe obesity prevalence in toddlers declined from 2010 to 2016, recent trends are upward. Early identification and access to evidence-based family healthy weight programs for at-risk children can support families and child health.

The effect of poverty on the relationship between household education levels and obesity in U.S. children and adolescents: an observational study

Although ample evidence has shown the link between childhood obesity and socioeconomic status including family income and household education levels, the mediating role of poverty in the association between household education levels and childhood obesity is unclear. This study aimed to quantify the extent to which family poverty levels contribute to the association between household education levels and obesity among US children and adolescents. This cohort study used the nationally representative data of 21,754 US children and adolescents aged 6-17 years (National Health and Nutrition Examination Survey 1999-2018). We applied mediation analysis of the association between household education levels (less than high school, high school, and college or above) and obesity mediated through poverty (≤138% vs. >138% federal poverty level), adjusting for demographic characteristics of household head and their offspring. Obesity was defined as age- and sex-specific body mass index in the 95th percentile or greater using the 2000 Centers for Disease Control and Prevention growth charts. Among 21,754 children and adolescents (weighted N=43,544,684; mean age, 11.6 years; female, 49%), 9720 (weighted percentage,33.0%) were classified as living in poverty and 4671 (weighted percentage,19.1%) met the criteria for obesity. Low household education level (less than high school) showed increased risks of poverty (adjusted relative risk [95% CI], 5.82 [4.90-6.91]) and obesity (adjusted relative risk [95% CI], 1.94 [1.68-2.25]) compared to high household education level (college or above). We also quantified that poverty mediated 18.9% of the association between household education levels and obesity among children and adolescents. The mediation effect was consistently observed across age, gender, and race/ethnicity. Poverty mediated the association between the low educational status of household heads and their offspring's obesity. Our findings highlight the importance of reducing obesity risk among the low-income population to minimize the burden of intergenerational health disparities due to socioeconomic status. Japan Society for the Promotion of Sciences (22K17392).

Evaluation of Relationship between Body Mass Index (BMI) and Dental Development in the Children in Age-group of 6-13 years of Malwa Region: A Cross-sectional Study.

To evaluate the relationship between body mass index (BMI) and dental development in the children in age-group of 6-13 years of Malwa region. A total of 250 orthopantomograms (OPGs) of children aged 6-13 years (130 males and 120 females) collected from the Department of Paediatric and Preventive Dentistry, Government College of Dentistry, Indore, Madhya Pradesh, India, who came for their routine dental treatment. The chronological age, height, and weight were recorded, followed by calculating the BMI of each patient using Centers for Disease Control and Prevention (CDC) growth charts. The dental age was calculated using Cameriere's method. The comparison of the dental and chronological age was done using Wilcoxon signed-rank test. The dental age of underweight patients was significantly lesser than that of the normal, overweight, and obese patients (p-value of <0.05). The dental age of the obese patients were greatest and significantly greater than that of the underweight, normal, and overweight patients (p-value of <0.05). Dental age is significantly associated with the BMI of children aged 6-13 years. The dental age of obese and overweight children is significantly greater than the chronological age. Predicting the stage of dental development and eruption periods in children with mixed dentition can help with the sequencing and timing of orthodontic, prosthodontic, and surgical procedures. Selkari V, Saxena A, Parihar A, et al. Evaluation of Relationship between Body Mass Index (BMI) and Dental Development in the Children in Age-group of 6-13 years of Malwa Region: A Cross-sectional Study. Int J Clin Pediatr Dent 2023;16(2):333-337.

Cost-Effectiveness and Long-Term Savings of the Bright Bodies Intervention for Childhood Obesity

ObjectivesTo estimate the cost and cost-effectiveness of Bright Bodies, a high-intensity, family-based intervention that has been demonstrated to improve body mass index (BMI) among children with obesity in a randomized controlled trial. MethodsWe developed a microsimulation model to project 10-year BMI trajectories of 8 to 16-year-old children with obesity, using data from the National Longitudinal Surveys and Centers for Disease Control and Prevention growth charts, and we validated the model using data from the Bright Bodies trial and a follow-up study. We used the trial data to estimate the average reduction in BMI per person-year over 10 years and the incremental costs of Bright Bodies, compared with the traditional clinical weight management (control), from a health system’s perspective in 2020 US dollars. Using results from studies of Medical Expenditure Panel Survey data, we projected the long-term obesity-related medical expenditure. ResultsIn the primary analysis, assuming depreciating effects postintervention, Bright Bodies is expected to reduce a participant's BMI by 1.67 kg/m2 (95% uncertainty interval 1.43-1.94) per year over 10 years as compared with control. The incremental intervention cost of Bright Bodies was $360 ($292-$421) per person compared with the clinical control. Nevertheless, savings in obesity-related healthcare expenditure offset these costs and the expected cost-savings of Bright Bodies is $1126 ($689-$1693) per person over 10-years. The projected time to achieve cost-savings compared with clinical control was 3.58 (2.63-5.17) years. ConclusionsAlthough resource-intensive, our findings suggest that Bright Bodies is cost-saving compared to the clinical control by averting future obesity-related healthcare costs among children with obesity.

Five-year obesity incidence in the transition period between adolescence and adulthood: the National Longitudinal Study of Adolescent Health

No nationally representative longitudinal data have been analyzed to evaluate the incidence of obesity in the transition between adolescence and adulthood. The objective was to examine dynamic patterns of change in obesity among white, black, Hispanic, and Asian US teens as they transitioned to young adulthood. We used nationally representative, longitudinally measured height and weight data collected from US adolescents enrolled in wave II (1996; ages 13-20 y) and wave III (2001; 19-26 y) of the National Longitudinal Study of Adolescent Health (n = 9795). Obesity incidence was defined on the basis of International Obesity Task Force (IOTF) cutoffs (wave II), which link childhood body mass index (BMI) centiles to adult cutoffs (BMI > or = 30; wave III), for comparability between adolescence and adulthood. In addition, the more commonly used cutoff of BMI > or = 95th percentile for age- and sex-specific cutoffs from the 2000 Centers for Disease Control and Prevention growth charts for adolescents (wave II) were compared with adult cutoffs (BMI > or = 30; wave III). On the basis of the IOTF cutoffs, obesity incidence over the 5-y study period was 12.7%; 9.4% of the population remained obese and 1.6% shifted from obese to nonobese. Obesity incidence was especially high in non-Hispanic black (18.4%) females relative to white females. The prevalence of obesity increased from 10.9% in wave II to 22.1% in wave III, and extreme obesity was 4.3% at wave III on the basis of a BMI > or = 40. During a 5-y transitional period between adolescence and young adulthood, the proportion of adolescents becoming and remaining obese into adulthood was very high. This upward trend is likely to continue. Effective preventive and treatment efforts are critically needed.

Caregiver Concern About Child Overweight/Obesity in Grandparent Versus Parent-Headed Households in the United States.

To examine the association of caregivers' concern about children's overweight and obesity status with family structure (grandparent versus parent-headed households). Caregivers reported their relation to the child aged 10 to 17 years and the child's weight and height (National Survey of Children's Health 2016-20). Overweight/obesity was calculated using Centers for Disease Control and Prevention growth charts. We estimated associations (prevalence odds ratio) of residing in a grandparent-headed household with lack of weight concern (responding "Yes, it's too low" or "No, not concerned" to "Are you concerned about this child's weight?") among propensity score-matched children with overweight and obesity. Covariates included child's sex, race, ethnicity, age, family poverty ratio, primary household language, highest level of education among reported adults, caregiver mental and emotional health, usual source of care and survey year. The prevalence of child overweight/obesity was higher in grandparent-headed households. Among children with overweight/obesity, 64.65 (SE=3.27)% of grandparents and 66.55 (SE=0.81)% of parents did not express concern about the child's weight status. Among children with obesity, it was 52.42 (SE=4.63)% and 49.04 (SE=1.28)%, respectively. Family structure was not associated with caregiver lack of weight concern in propensity score-matched samples. Appropriate caregiver concern about child's weight status was low in both grandparent and parent-headed households in the United States.

International standard growth charts overestimate stunting prevalence in Nabire and Jakarta, Indonesia, compared to the Indonesian national growth chart.

Children's height in Indonesia is increasing slowly and unevenly across the country, with urban areas growing faster than rural areas. Thus, international growth charts may be ineffective for monitoring the development of Indonesian children. We conducted an analytical cross-sectional study on 1,829 children aged 6 to 12 in Nabire and 1,283 children in Jakarta. Anthropometric measurements were obtained and plotted on the Centers for Disease Control and Prevention (CDC) growth charts and Indonesian National Growth Charts to determine which chart is more suitable for monitoring children's growth in Indonesia. Nabire children were shorter and had lower body mass index (BMI) than Jakarta children, with a mean height difference of 7.03 cm in boys and 6.89 cm in girls (p = 0.001) and a mean BMI difference of 1.66 in boys and 1.39 in girls (p = 0.001). Despite their short stature, more Nabire children had a normal BMI, indicating a healthy nutritional status. Using the Indonesian National Growth Charts, fewer children were classified as stunted or wasted. Most of the short stature observed in Nabire children was not due to stunting; the children showed no signs of malnutrition. The Indonesian National Growth Charts represent the growth of Indonesian children more accurately than the CDC growth charts.

More than just body mass index: Using the Edmonton obesity staging system for pediatrics to define obesity severity in a multi-ethnic Australian pediatric clinical cohort.

Despite advancements in the use of body mass index (BMI) to categorize obesity severity in pediatrics, its utility in guiding individual clinical decision making remains limited. The Edmonton Obesity Staging System for Pediatrics (EOSS-P) provides a way to categorize the medical and functional impacts of obesity according to the severity of impairment. The aim of this study was to describe the severity of obesity among a sample of multicultural Australian children using both BMI and EOSS-P tools. This cross-sectional study included children aged 2-17years receiving obesity treatment through the Growing Health Kids (GHK) multi-disciplinary weight management service in Australia between January to December 2021. BMI severity was determined using the 95th percentile for BMI on age and gender standardized Centre for Disease Control and Prevention (CDC) growth charts. The EOSS-P staging system was applied across the four health domains (metabolic, mechanical, mental health and social milieu) using clinical information. Complete data was obtained for 338 children (age 10.0±3.66years), of whom 69.5% were affected by severe obesity. An EOSS-P stage 3 (most severe) was assigned to 49.7% of children, the remaining 48.5% were assigned stage 2 and 1.5% were assigned stage 1 (least severe). BMI predicted health risk as defined by EOSS-P overall score. BMI class did not predict poor mental health. Used in combination, BMI and EOSS-P provide improved risk stratification of pediatric obesity. This additional tool can help focus resources and develop comprehensive multidisciplinary treatment plans.

Nonalcoholic fatty liver disease in a group of Iraqi obese children attending children welfare teaching hospital

Background: Background: Although liver biopsy is the gold standard method for diagnosing and staging non-alcoholic fatty liver disease (NAFLD), the majority of patients can be effectively diagnosed non-invasively with tests that are routinely available in the clinic today as abdominal ultrasound. Aim of the study: to study the prevalence of NAFLD as a complication among obese children and some of its related variables. Patients and methods: A cross-sectional case-control study was conducted on 71 obese cases with an age range of 2-15 years in the medical city of Baghdad from the 1st of September 2014 to the 1st of September 2015. Obese children were selected according to their Body Mass Index which should be 97th centile according to the Center for Disease Control and Prevention growth charts. We depended on abdominal ultrasound to look for FLD. Results; Most of the cases are school-age. Of these cases 17 (23.9%) were pre-hypertensive and 10 (14.1%) were hypertensive so obesity was significantly correlated with increased blood pressure. Bone age was advanced in 38 (53.5%) meaning that it had an obvious correlation with obesity. Formula-fed cases 20 (28.2%). Family history of obesity was 51 (71.8%). FLD among obese children; in the obese group; the prevalence of FLDr was 25 (35.2%). Males were 19 (76%). In obese with FLD 8 (32%) of them were hypertensive. Bone age was advanced in 18 (72%) of them. Ten (40%) were formula fed. Total serum bilirubin 3 (12%). Alanine aminotransferase 18 (72%) and Aspartate aminotransferase 13 (52%)were elevated. 13 (52%) had elevated Fasting blood glucose. Four (16%) had elevated Triglyceride levels. All of these values are more in obese with fatty liver than in obese without FLD. Conclusions; Non-alcoholic fatty liver disease is associated with significant comorbid conditions as they have more prevalence of hypertension and increased lipid profile. There is a significant correlation between early feeding type and the growing problem which is excessive TV watching and digital games playing using mobile phones by most of them.

Longitudinal Association between Weight Status, Aerobic Capacity, Muscular Strength, and Endurance among New York City Youth, 2010-2017.

Background: Child weight status is inversely associated with fitness, but less is known about this relationship across fitness domains. This study examined the longitudinal association between weight status and fitness domains in a large, diverse sample of children. Methods: Data were drawn from the New York City Fitnessgram (2010-2011 to 2017-2018). Height and weight were collected annually and converted to weight status using Centers for Disease Control and Prevention growth charts. Aerobic capacity, muscular strength, and endurance were measured as age and sex standardized z-scores based on the fitness performance tests. Repeated-measures multilevel models were run testing the association between weight status and 1-year lagged fitness domains. Results: The sample included 917,554 children (51.8% male, 39.3% Hispanic, 29.9% non-Hispanic Black, 13.9%, 4.7%, and 1.7% class I, II, and III obesity, respectively). For each fitness domain, fitness scores decreased with increasing weight status across all demographic categories, with the lowest fitness scores observed in children with the most severe obesity, and highest magnitude of effects for aerobic capacity, and particularly among boys, non-Hispanic Whites, and older youth. For example, compared with youth with healthy weight, youth with overweight had 0.28 standard deviation lower aerobic capacity performance [confidence interval (95% CI): -0.29 to -0.28], followed by class 1 obesity (β = -0.57, 95% CI: -0.58 to -0.57), class 2 obesity (β = -0.88, 95% CI: -0.88 to -0.88), and class 3 obesity (β = -1.19, 95% CI: -1.20 to -1.18). Conclusions: Compared with youth with healthy weight, youth at every other weight status had lower subsequent fitness, with the magnitude of the relationship increasing as weight status increased. Future research should examine interventions targeting aerobic capacity to reduce fitness disparities.

Associations between body mass index in different childhood age periods and hyperuricemia in young adulthood: the China Health and Nutrition Survey cohort study.

Few studies have evaluated the specific age period in childhood when the association of body mass index with adult hyperuricemia begins to be operative. This study aimed to examine the associations between body mass index in different childhood age periods and the risk of adult hyperuricemia in China. The study cohort from the China Health and Nutrition Survey included 676 participants who were aged ≥ 18years and had data on uric acid in 2009 with at least one measurement of body mass index in childhood surveys before 2009. There were 357, 365, 358, 427, and 432 observations in childhood age groups of ≤ 5years, 6-9years, 10-12years, 13-15years, and 16-18years, respectively. Body mass index Z score was calculated based on 2000 Center for Disease Control and Prevention growth charts for the United States. Childhood body mass index Z scores measured at age ≤ 5years, 6-9years, 10-12years, and 13-15years had no statistical association with adult uric acid. In comparison, childhood body mass index Z scores measured at age 16-18years were significantly associated with adult uric acid (β = 11.539, P = 0.007), and the strength of association was stronger in girls (β = 18.565, P = 0.002) than in boys (β = 9.209, P = 0.087). In addition, childhood body mass index Z scores measured at age 16-18years were significantly associated with an increased risk of adult hyperuricemia (odds ratio = 1.323, 95% confidence interval = 1.003-1.746, P = 0.048), but not for other age groups. The association between childhood body mass index and young adulthood hyperuricemia was influenced by childhood age.

Association Between a Policy to Subsidize Supermarkets in Underserved Areas and Childhood Obesity Risk

The establishment and renovation of supermarkets may promote healthy diet practices among youth by increasing retail infrastructure for fresh foods. To estimate the association between the Food Retail Expansion to Support Health (FRESH) program and the weight status of children and adolescents. Using a difference-in-differences (DiD) design and including 12 months before and after a FRESH supermarket opened, data were analyzed for residentially stable public school students in kindergarten through 12th grade with objectively measured height and weight data from the academic years 2009 through 2016. Of the 8 FRESH-subsidized supermarkets in residential neighborhoods in New York City, New York, 5 were new and 3 were renovation projects between December 2011 and June 2014. Data were analyzed from June 2021 to January 2022. The treatment group included students who resided within 0.50 miles of a FRESH-subsidized supermarket and had at least 1 body mass index (BMI) measurement within 12 months before and 3 to 12 months after the month a FRESH supermarket opened (n = 22 712 student-year observations). A 2-stage matching-weighting approach was used to construct a control group of students who resided more than 0.50 miles from a FRESH supermarket in a FRESH-eligible area (n = 86 744 student-year observations). BMI z score was calculated using objectively measured height and weight data from FITNESSGRAM, an annual, school-based, standardized fitness assessment of every New York City public school student. Obesity was defined as 95th percentile or greater of the BMI z score using Centers for Disease Control and Prevention growth charts. The treatment group in the analytic sample had 11 356 students (22 712 student-year observations), and the control group had 43 372 students (86 744 student-year observations). The students were predominately Black (18.8%) and Hispanic and Latino (68.5%) and eligible for free or reduced-priced lunch (84.6%). There was a significant decrease in BMI z score among students who resided within 0.50 miles of a FRESH supermarket (vs control group students) in the 3- to 12-month follow-up period (DiD, -0.04; 95% CI, -0.06 to -0.02). This was true for those exposed to supermarkets that were either new (DiD, -0.07; 95% CI, -0.11 to -0.03) or renovated (DiD, -0.03; 95% CI, -0.06 to -0.01). A statistically significant decrease was also observed in the likelihood of obesity (DiD, -0.01; 95% CI, -0.02 to -0.002). Government-subsidized supermarkets may contribute to a small decrease in obesity risk among children residing near those supermarkets, if part of a comprehensive policy approach.

Linear Growth and Final Height in People With Type 1 Diabetes: A Study From Karachi, Pakistan.

ObjectiveIn this study, we aimed to determine the linear growth and final height in children/adolescents with type 1 diabetes mellitus (T1DM) at a tertiary care hospital.MethodologyThis observational study was conducted at the Baqai Institute of Diabetology and Endocrinology (BIDE), Baqai Medical University, Karachi, Pakistan. All children/adolescents diagnosed with T1DM of either gender aged between 8-18 years visiting the outpatient department of BIDE were included after obtaining informed consent. A predesigned questionnaire was developed to record data. The Centers for Disease Control and Prevention (CDC) growth chart was plotted and growth velocity was checked every six months to observe the linear growth. The final height was compared with the targeted height of the respective participants.ResultsA total of 66 people participated in the study (24 males and 42 females); among them, the mean age at diagnosis was 11.17 ± 4.77 years, and the duration of diabetes [median (IQR)] at the first visit was one year (0-3). The mean age at menarche was noted to be 13.56 ± 1.41 years. The overall height [standard deviation score (SDS)] at the first visit was -0.62 ± 2.58 and it was -1.34 ± 0.94 at the last visit; the overall weight at the first visit (SDS) and at the last visit was -1.23 ± 2.77 and -1.14 ± 1.25 respectively. Furthermore, the overall mid-parental height was 160.9 5 ± 10.28 cm, and 50% of males and 85.7% of females achieved genetic target height with a significant difference between them (p = 0.002).ConclusionA large number of people with TIDM were not able to achieve their target height. Therefore, it is imperative to monitor metabolic control along with monitoring of growth in young people with T1DM.

Prevalence of Childhood Obesity in the United States in 1999–2018: A 20-Year Analysis

Introduction: Obesity is a public health crisis in the USA. This study aimed to estimate the prevalence of obesity and severe obesity in US children and adolescents and identify novel targetable risk factors associated with childhood obesity. Methods: From the US National Health and Nutrition Examination Survey from 1999 to 2018, 35,907 children aged 2–19 with body mass index (BMI) data were included. Obesity and severe obesity were defined as BMI ≥95th percentile and ≥120% of 95th percentile of US Centers for Disease Control and Prevention growth charts, respectively. Trends in the prevalence of obesity and subgroup analyses according to socioeconomic factors and language used in the interview were analyzed. Results: The prevalence of obesity and severe obesity increased from 14.7 [95% confidence interval: 12.9–17.0]% to 19.2 [17.2–21.0]% and 3.9 [2.9–5.0]% to 6.1 [4.8–8.0]% in 1999–2018, respectively (p = 0.001 and p = 0.014, respectively). In 2017–2018, the prevalence of obesity among children from Spanish-speaking households was 24.4 [22.4–27.0]%, higher than children from English-speaking households (p = 0.027). Conclusion: The prevalence of childhood obesity kept increasing in 1999–2018. The problem is worse in children from Spanish-speaking households. Novel and targeted public health intervention strategies are urgently warranted to effectively halt the rising epidemic of childhood obesity.

LINEAR GROWTH AND FINAL HEIGHT IN PEOPLE WITH TYPE 1 DIABETES MELLITUS: A STUDY FROM KARACHI-PAKISTAN

OBJECTIVE: To determine the linear growth in children/adolescents with type 1 diabetes mellitus (T1DM) at a tertiary care hospital. METHODS: This observational study was conducted in Baqai Institute of Diabetology and Endocrinology, Baqai Medical University, Karachi, Pakistan from January-2001 to July-2021. All children/adolescents diagnosed with T1DM of either gender, between 8-18 years age visiting the outpatient department were included after informed consent. Predesigned questionnaire was developed for data records. Height of study participants and parents was checked in centimeters (cm) by stadiometer and mid-parental height was calculated. Weight was checked in kilograms (kg) on calibrated digital weight machine. Centers for Disease Control and Prevention growth chart was plotted and growth velocity was checked every six months to check linear growth. Final height was compared with targeted height of respective participants. RESULTS: Total of 66 people participated (24 male, 42 female), with mean age at diagnosis was 11.17±4.77 years and duration of diabetes at first visit was 1.97±3.3 years. Mean age at menarche was noted 13.56±1.41 years. The overall height standard deviation score (SDS) at first visit was -0.62±2.58 and at last visit was -1.34±0.94, whereas the overall weight SDS at first visit and at last visit was -0.62±2.58 and 1.34±0.94 respectively. Furthermore, overall mid-parental height was 160.95±10.28 cm and 50% males and 85.7% females achieved genetic target height (p-value=0.002). CONCLUSION: Majority of males did not achieve genetic target height, however females achieved genetic target height along with late age of menarche as compared to general population.

A study on nutritional status among primary school children and related co-morbidities in peri urban rural setting of India

Background: Objective of the research was to study the nutritional status of children and related co-morbidities among primary school children in peri-urban rural setting of Thane district of Maharashtra.Methods: A cross sectional study with primary data collection from government primary school in peri-urban rural setting was conducted with total study duration of one year. Children between 6 and 12 years were included in study from primary school. Schools selected using lottery system and all children present on day on examination were included. Sample size estimation by formula n=4pq/l2 which was 336, but study enrolled 402 children. Anthropometric data (BMI) was analyzed using Centers for Disease Control and Prevention (CDC) growth charts. Data was analyzed using Microsoft Excel, statistical package for the social sciences (SPSS)-17, differential and inferential statistics calculated and represented using tables and charts. Chi square test was used for statistical significance and finding association with various factors.Results: The prevalence of overweight (≥85th percentile) among children was 20.83% (male), 20.95% (female) and prevalence of obesity (&gt;95th percentile) was 14.06 % (male), 17.62% (female). Prevalence of underweight was 4.17 % (male), 4.29% (female). Female children were at greater risk of being overweight and obese.Conclusions: Childhood obesity is a problem in peri-urban rural Thane and requires timely intervention for its control.