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Evidence suggests that autistic adults have higher odds of developing several co-occurring conditions, but less is known about disparities by race and ethnicity in this population. Using 2008-2012 Medicaid Analytic eXtract (MAX) data, we (i) identify the prevalence of co-occurring conditions among the population of autistic adult Medicaid beneficiaries compared to a matched sample of those without an autism spectrum disorder (ASD) diagnosis, (ii) conduct logistic regression to estimate odds ratios for these health conditions predicted by an autism diagnosis, and (iii) estimate odds of having these health conditions as predicted by racial/ethnic group among the autistic population only. Overall, autistic adults did not have higher prevalence of some major health conditions (cardiovascular conditions, stroke, cancer, cardiovascular disease), but they did have higher odds of others (nutrition conditions, epilepsy, disorders of the central nervous system). Analysis by racial/ethnic group, however, shows that Black, Hispanic, and Asian autistic beneficiaries had higher odds of diabetes, hospitalized cardiovascular diseases, and hypertension, among other conditions. Policymakers should be aware that racial disparities found in the general population persist in the autistic population and should work to implement systems and programs to improve screening and preventive care for minority autistic populations. LAY SUMMARY: Autistic adults may have several co-occurring physical and mental health conditions, which could differ by racial/ethnic group. We find that, compared to the general Medicaid population, autistic adult Medicaid beneficiaries have elevated odds of some health conditions, like epilepsy and nutrition conditions, as well as some psychiatric conditions, such as anxiety and attention disorders. We also find that many of the same health disparities by racial/ethnic group in the general population persist among the autistic adult Medicaid population. For example, Black, Hispanic, and Asian Medicaid autistic beneficiaries have higher odds of diabetes, and Black and Hispanic autistic beneficiaries have higher odds of obesity and nutrition conditions than white autistic beneficiaries.

Adults on the autism spectrum and those with intellectual disability or mental health conditions may be at increased risk of contracting COVID-19 or experiencing more severe illness if infected. We identified risk factors for COVID-19 among adults enrolled in Medicaid with an autism spectrum disorder diagnosis, intellectual disability, or mental health conditions. We examined adults ages 20–64 years with 9-month continuous enrollment over 2008–2012 using Medicaid Analytic eXtract data. There were 83,150 autistic adults and 615,607 adults with intellectual disability meeting inclusion criteria; of a random sample of 1 million beneficiaries without autism spectrum disorder or intellectual disability, 35.3% had any mental health condition. Beneficiaries on the spectrum, those with intellectual disability, and those with mental health conditions all had higher odds of risk factors for becoming infected with COVID-19 (living in a residential facility, receiving services in the home from outside caregivers, having had a long hospitalization, and having had avoidable hospitalizations) and higher odds of comorbidities associated with severe illness from COVID-19. Clinicians should anticipate high prevalence of comorbidities and risk factors for severe illness from COVID-19 among these populations. Health officials and non-governmental organizations should target these groups with outreach for the COVID-19 vaccine and support continued efforts for appropriate mitigation measures. Lay abstract Autistic adults, adults with intellectual disability, and adults with other mental health conditions may have higher risk of contracting COVID-19 or experiencing more severe illness from COVID-19 if infected. We used data from Medicaid to look at whether autistic adults and other adults with intellectual disability and other mental health conditions were more likely to have risk factors for COVID-19, such as living in a residential facility, receiving services regularly in the home from outside caregivers, having had a long hospitalization, having had avoidable hospitalizations, and having high-risk health conditions. We found that autistic adults had higher odds of living in a residential facility, receiving in-home services from outside caregivers, having had an avoidable hospitalization, and having a high-risk health condition, compared to neurotypical adults without mental health conditions. Adults with intellectual disability had similar odds of having these conditions. Adults with other mental health conditions were also more likely to live in a residential facility, receive services from outside caregivers, and have had avoidable hospitalizations compared to the neurotypical population without mental health conditions. They had three times higher odds of having a high-risk health condition. High risk of COVID-19 among autistic adults and adults with intellectual disability and mental health conditions should be recognized by clinicians, and these groups should be prioritized for vaccine outreach.

BACKGROUND AND OBJECTIVES Autistic children and children with attention-deficit/hyperactivity disorder (ADHD) may have more frequent visits to the emergency department (ED). We aim to identify the primary reasons for ED visits among autistic children and children with ADHD, compared to a random sample of visits. METHODS Using 2008 to 2017 Nationwide Emergency Department Sample data, we assessed the most frequent primary diagnoses for ED visits among children (ages 3–12 and 13–18 years, separately) (1) with an autism diagnosis, (2) with ADHD, and (3) a random sample (1 000 000 visits). We regressed primary reasons for visits on autism or ADHD diagnosis, controlling for individual characteristics, to assess the odds of presenting for these reasons. RESULTS Although the 10 most frequent diagnoses among the random sample were physical health conditions, autistic children and children with ADHD often presented for psychiatric conditions. Older children with autism and with ADHD more frequently presented for mood disorders (10%–15% of visits; odds ratios [ORs] = 5.2–8.5) and intentional self-harm (ORs = 3.2–5.0). Younger children with ADHD more commonly presented with mood disorders (6.6% of visits; OR = 18.3) and younger autistic children more often presented with attention-deficit, conduct, and disruptive behavior disorders (9.7% of visits; OR = 9.7). CONCLUSIONS Autistic children and children with ADHD have higher odds of presenting to the ED for psychiatric conditions than a random sample, including for self-harm. Clinicians should treat these populations sensitively, recognize and assess the risk for self-harm, and facilitate continuing psychiatric care.

Children are at risk of short- and long-term morbidity and mortality from COVID-19. We examine whether autistic children and children with mental health conditions have higher odds of underlying health conditions at high risk of severe disease from COVID-19. We use claims data from a national sample of Medicaid-enrolled children for the years 2008–2016. We examine (1) children with claims for autism and (2) a random sample of children covered by Medicaid, without autism claims but with mental health condition. The comparison group is a random sample of children without autism or any mental health condition. There were 888,487 autistic children, 423,397 with mental health conditions (but not autism or intellectual disability), and 932,625 children without autism or mental health condition. We found 29.5% of autistic children and 25.2% of children with mental health conditions had an underlying condition with high risk for severe illness from COVID, compared to 14.1% of children without these diagnoses. Autistic children had higher odds of having any underlying condition (odds ratio = 2.17; 99% confidence interval = 2.14–2.20), as did children with mental health conditions (odds ratio = 1.71; 99% confidence interval = 1.68–1.73), adjusting for basic demographic characteristics. Children with diagnoses of autism and mental health conditions may be at higher risk for severe COVID due to high-risk condition prevalence. Lay abstract Children are at risk of varying severity of illness and even death from COVID-19. We aim to determine whether autistic children or children with mental health conditions have more underlying health conditions that put people at risk of severe illness from COVID-19. We use data from a national sample of Medicaid-enrolled children for the years 2008–2016. These data include children across the 50 states and the District of Columbia. We compare the prevalence of underlying conditions among autistic children and children with mental health condition to that of other children in Medicaid. This study included 888,487 autistic children, 423,397 with any mental health condition (but not autism), and 932,625 children without any of these diagnoses. We found 29.5% of autistic children and 25.2% of children with mental health conditions had an underlying condition with high risk for severe illness from COVID, compared to 14.1% of children without these diagnoses. Autistic children had over twice the odds of having any underlying conditions, when accounting for age, race, sex, and other characteristics. Children with mental health conditions had 70% higher odds of having these underlying conditions. Mitigation measures in schools and other areas could minimize risk of short- and long-term impacts from COVID for autistic and all children.

Autistic adults in need of long-term services and supports spend months on waiting lists before receiving such services through Medicaid. Data from a state-wide survey of adults and their caregivers on a waiting list for autism waivers suggest that the majority have unmet needs for functional skills services (63.6%), employment or vocation services (62.1%), and mental and behavioral health services (52.8%). Almost a third require case management services (28.3%). Predictors of greater service need are African American race and the number of physical and behavioral health diagnoses. Predictors of greater service receipt were employment status, housing type, and school enrollment; there was lower service receipt for African American race, Hispanic ethnicity, over age 21 years, and college completion.

We investigated intergenerational associations of adolescent mothers' and grandmothers' anthropometrics and schooling with adolescent mothers' offspring's anthropometrics in Ethiopia, India, Peru, and Vietnam. We examined birthweight (n = 283), birthweight Z-score (BWZ), conditional growth in weight-for-age Z-score (cWAZ, residuals from a regression of WAZ at last survey round on BWZ, sex, and age), and height-for-age Z-score (HAZ) of children born to older cohort adolescent girls in the Young Lives study. Our key independent variables were adolescent mothers' body size: HAZ and body-mass-index-for-age Z-score (BMIZ) at age 8, conditional HAZ (cHAZ, residuals from a regression of HAZ at the end of a growth period on prior HAZ, age, and sex), conditional BMIZ growth (cBMIZ, calculated analogously), and grandmaternal BMIZ, HAZ, and schooling. We adjusted for child, maternal, and household characteristics. Adolescent mothers' cHAZ (ages 8-15) predicted birthweight (β = 130 g, 95% confidence interval (CI) 31-228), BWZ (β = 0.31, CI 0.09-0.53), and cWAZ (β = 0.28, CI 0.04-0.51). Adolescent mothers' BMIZ at age 8 predicted birthweight (β = 79 g, CI 16-43) and BWZ (β = 0.22, CI 0.08-0.36). Adolescent mothers' cBMIZ (ages 12-15) predicted child cWAZ and HAZ. Grandmothers' schooling predicted grandchild birthweight (β = 22 g, CI 1-44) and BWZ (β = 0.05, CI 0.01-0.10).

Evidence on the associations of birth weight and prepubertal nutritional status with menarcheal age for low- and middle-income countries is limited. We investigated these relationships using the Young Lives younger cohort for 2001 Indian, Peruvian, and Vietnamese girls born in 2001-2002. Girls were followed at approximately ages 1, 5, 8, and 12 years. Weibull survival models estimated hazards of earlier menarche on the basis of birth weight Z-scores (BWZ), and age-8 BMI-for-age Z-scores (BMIZ) and height-for-age Z-scores (HAZ). Estimates controlled for potential individual-, mother-, and household-level confounders and for changes in anthropometry between 1 and 8 years. In adjusted models, BWZ predicted later age at menarche (hazard ratio (HR) = 0.90, 95% CI: 0.83-0.97). Conversely, HAZ (HR = 1.66, 95% CI 1.5-1.83) and BMIZ at 8 years (HR = 1.28, 95% CI: 1.18-1.38) predicted earlier menarche. Changes in HAZ and BMIZ between 1 and 8 years were not associated with earlier menarche. Associations were consistent across countries, though with variation in estimated magnitudes. Maternal height and age were associated with later menarche. This evidence points to consistently robust and opposite associations of birth weight versus prepubertal attained height and body mass index with menarcheal age in three diverse settings with regard to nutrition, ethnicity, and socioeconomic status.

Micronutrient powders (MNP) have the potential to increase micronutrient intake, yet documentation of implementation lessons remains a gap. This paper presents results of a pilot in Uganda comparing community‐ and facility‐based delivery of MNP and documenting experiences of caregivers and distributors. The pilot's mixed method evaluation included a cross‐sectional endline survey, monthly household visits, and midline and endline interviews. Primary outcomes were ever‐covered (received ≥1 MNP packet), repeat‐coverage (received ≥2 MNP packets), and adherence (consumed no more than 1 MNP sachet per day, consumed MNP with food, and consumed MNP 3+ days in past week). An adjusted Wald chi‐square test compared differences in programme outcomes between arms, and logit regression identified predictors to adherence. Key informant interviews were coded thematically. Most programme outcomes in the endline survey were statistically significantly higher in the community arm, although in both arms, adherence was lower than other outcomes (adherence 31.4% in facility vs. 58.3% in community arm). Counselling, receipt of communication materials, perceived positive effects, MNP knowledge, and child liking MNP were consistent predictors of adherence in both arms. Qualitative findings corroborated survey results, revealing that social encouragement and advocacy facilitated use and that forgetting to give MNP was a barrier. Facility arm caregivers also cited distance, time, and transportation cost as barriers. Distributors had positive experiences with training and supervision but experienced increased workloads in both arms. MNP programme design is context‐specific but could benefit from strengthened community sensitization, continued and more effective counselling for caregivers, and increased support for distributors.

There has been little examination of: (1) associations of early-life nutrition and adolescent cognitive skills, (2) if they vary by gender, (3) if they differ by diverse contexts, and (4) contributions of post-infancy growth to adolescent cognitive attainment. We use Young Lives data on 7687 children from Ethiopia, India, Peru, and Vietnam to undertake ordinary least squares estimates of associations between age-1 height-for-age z-score (HAZ) and age-15 cognitive outcomes (math, reading, vocabulary), controlling for child and household factors. Age-1 HAZ is positively associated with cognitive scores in all countries. Child gender-specific estimates for these coefficients either do not differ (math, reading) or favor girls (vocabulary). Augmenting models to include growth in HAZ between ages 1 and 15 years that was not predicted by HAZ at age 1 reveals that such improvements are associated with higher cognitive scores, but that sex-specific coefficients for this predictor favor boys in India and Peru. The results suggest that nutritional indicators at age 1 have gender-neutral associations with math and reading and favor girls for vocabulary achievement at age 15, but unpredicted improvements in HAZ by adolescence are associated with higher cognitive scores for boys than for girls. This evidence enriches our understanding of relationships between children’s nutritional trajectories during childhood and adolescent cognitive development, and how these associations vary by gender in some contexts to the possible disadvantage of girls.

Rapid development in Latin America has been accompanied by lifestyle shifts, including changes in time use and social environments. Overweight/obesity has also emerged as a public health challenge. We examined whether lifestyle changes and sexual maturity-related indicators (early pubertal development and having a child) predict increases in adiposity among Peruvian youth. Using longitudinal data from Young Lives, we examined changes in adiposity between ages 8 and 15 years old for the younger cohort and ages 15 and 22 years old for the older cohort. Boys and girls in both cohorts demonstrated substantial increases in age-adjusted adiposity measures, but predictors were different for boys versus girls. For boys, increases in time spent in work and domestic chores predicted increases in adiposity body mass index and BMI-for-age Z-score and increases in time spent sleeping were associated with decreases in adiposity (waist circumference and waist-to-height ratio). For girls, sexual maturity-related indicators (early menarche and childbearing) predicted increases in adiposity, regardless of time use. Potential mechanisms for these results may include diet, physical activity, wealth, and urban-rural residence. Time use among youth was associated with diet quality and physical activity, but in different ways for boys versus girls. Strategies for dealing with rising overweight and obesity should incorporate sex-based specificities.

As part of the nutritional transition, undernutrition is globally declining while changes brought by economic development have ushered in increases in overweight and its related economic costs and health consequences around the world. We examine trajectories in stunting and overweight from age one year to mid-adolescence and from mid-childhood to early adulthood among two cohorts from Ethiopia, India, Peru and Vietnam using data from the Young Lives study. We examine descriptive data and then model trajectories in stunting and overweight status over age. Group-based trajectory analysis with five ages of overweight and stunting for each country-cohort reveals (1) trajectories of catch-up growth for a subset of study children between the ages of 12 and 19 in the older cohort in Ethiopia (20.1% of the cohort), India (20.5%), Peru (16.9%), and Vietnam (14.0%); (2) trajectories of increasing probabilities of stunting as children age from 12 to 22 in the older cohort in India (22.2%) and Peru (30.7%); (3) trajectories of early (childhood) increases in overweight probabilities (younger cohort: India, 3.4%, Peru, 19.4%, and Vietnam, 8.1%), and of later (adolescence) increases in overweight probabilities (older cohort: Ethiopia, 0.5%, India, 6.3%, Peru, 40.9%, and Vietnam, 9.4%). Multinomial logit prediction of membership in trajectory categories reveals that higher wealth quartiles and maternal schooling are protective against high stunting probability trajectory group membership, but higher wealth and urban residence predict high overweight probability trajectory group membership. This evidence suggests a window of opportunity for interventions to reduce stunting and to avert overweight development in adolescence, in addition to the often-emphasized first 1,000 days after conception. A life-course approach to policies and programs to target both undernutrition and overweight should be considered.

Extend analyses of maternal mental health and infant growth in low- and middle-income countries (LMICs) to children through age eight years, and broaden analyses to cognitive and psychosocial outcomes.Community-based longitudinal cohort study in four LMICs (Ethiopia, India, Peru and Vietnam). Surveys and anthropometric assessments were carried out when the children were approximately ages 1, 5 and 8 years. Risk of maternal common mental disorders (rCMDs) was assessed with the Self-Reporting Questionnaire (SRQ)-20 (score ≥8).Rural and urban as well as low- and middle-income communities.7722 mothers and their children.Child stunting and underweight (Z score ≤2 of height and weight for age), and20th centile for: cognitive development (Peabody Picture Vocabulary Test), and the psychosocial outcomes self pride and life satisfaction.A high rate of rCMD, stunting and underweight was seen in the cohorts. After adjusting for confounders, significant associations were found between maternal rCMDs and growth variables in the first year of life, with persistence to age 8 years in India and Vietnam, but not in the other countries. India and Vietnam also showed significant associations between rCMDs and lower cognitive development. After adjustment, rCMD was associated with low life satisfaction in Ethiopia but not in the other cohorts.Associations of maternal rCMD in the first year of life with child outcomes varied across the study cohorts and, in some cases, persisted across the first 8 years of life of the child, and included growth, cognitive development and psychosocial domains.

Evidence on the associations of birth weight and prepubertal nutritional status with menarcheal age for low- and middle-income countries is limited. We investigated these relationships using the Young Lives younger cohort for 2001 Indian, Peruvian, and Vietnamese girls born in 2001-2002. Girls were followed at approximately ages 1, 5, 8, and 12 years. Weibull survival models estimated hazards of earlier menarche on the basis of birth weight Z-scores (BWZ), and age-8 BMI-for-age Z-scores (BMIZ) and height-for-age Z-scores (HAZ). Estimates controlled for potential individual-, mother-, and household-level confounders and for changes in anthropometry between 1 and 8 years. In adjusted models, BWZ predicted later age at menarche (hazard ratio (HR) = 0.90, 95% CI: 0.83-0.97). Conversely, HAZ (HR = 1.66, 95% CI 1.5-1.83) and BMIZ at 8 years (HR = 1.28, 95% CI: 1.18-1.38) predicted earlier menarche. Changes in HAZ and BMIZ between 1 and 8 years were not associated with earlier menarche. Associations were consistent across countries, though with variation in estimated magnitudes. Maternal height and age were associated with later menarche. This evidence points to consistently robust and opposite associations of birth weight versus prepubertal attained height and body mass index with menarcheal age in three diverse settings with regard to nutrition, ethnicity, and socioeconomic status.

We investigated intergenerational associations of adolescent mothers' and grandmothers' anthropometrics and schooling with adolescent mothers' offspring's anthropometrics in Ethiopia, India, Peru, and Vietnam. We examined birthweight (n = 283), birthweight Z-score (BWZ), conditional growth in weight-for-age Z-score (cWAZ, residuals from a regression of WAZ at last survey round on BWZ, sex, and age), and height-for-age Z-score (HAZ) of children born to older cohort adolescent girls in the Young Lives study. Our key independent variables were adolescent mothers' body size: HAZ and body-mass-index-for-age Z-score (BMIZ) at age 8, conditional HAZ (cHAZ, residuals from a regression of HAZ at the end of a growth period on prior HAZ, age, and sex), conditional BMIZ growth (cBMIZ, calculated analogously), and grandmaternal BMIZ, HAZ, and schooling. We adjusted for child, maternal, and household characteristics. Adolescent mothers' cHAZ (ages 8-15) predicted birthweight (β = 130 g, 95% confidence interval (CI) 31-228), BWZ (β = 0.31, CI 0.09-0.53), and cWAZ (β = 0.28, CI 0.04-0.51). Adolescent mothers' BMIZ at age 8 predicted birthweight (β = 79 g, CI 16-43) and BWZ (β = 0.22, CI 0.08-0.36). Adolescent mothers' cBMIZ (ages 12-15) predicted child cWAZ and HAZ. Grandmothers' schooling predicted grandchild birthweight (β = 22 g, CI 1-44) and BWZ (β = 0.05, CI 0.01-0.10).

Objective Test associations between household water and sanitation (W&S) and children's concurrent and subsequent Peabody Picture Vocabulary Test (PPVT) scores. Design Prospective cohort study. Setting Ethiopia, India, Peru, Vietnam. Participants 7269 children. Primary outcome measures PPVT scores at 5 and 8 years. Key exposure variables were related to W&S, and collected at 1, 5 and 8 years, including ‘improved’ water (eg, piped, public tap or standpipe) and ‘improved’ toilets (eg, collection, storage, treatment and recycling of human excreta). Results Access to improved water at 1 year was associated with higher language scores at 5 years (3/4 unadjusted associations) and 8 years (4/4 unadjusted associations). Ethiopian children with access to improved water at 1 year had test scores that were 0.26 SD (95% CI 0.17 to 0.36) higher at 5 years than children without access. Access to improved water at 5 years was associated with higher concurrent PPVT scores (in 3/4 unadjusted associations), but not later scores (in 1/4 unadjusted associations). 5-year-old Peruvian children with access to improved water had better concurrent performance on the PPVT (0.44 SD, 95% CI 0.30 to 0.59) than children without access to improved water. Toilet access at 1 year was also associated with better PPVT scores at 5 years (3/4 unadjusted associations) and sometimes associated with test results at 8 years (2/4 unadjusted associations). Toilet access at 5 years was associated with concurrent PPVT scores (3/4 unadjusted associations). More than half of all associations in unadjusted models (water and toilets) persisted in adjusted models, particularly for toilets in India, Peru and Vietnam. Conclusions Access to ‘improved’ water and toilets had independent associations with children's PPVT scores that often persisted with adjustment for covariates. Our findings suggest that effects of W&S may go beyond subacute and acute infections and physical growth to include children's language performance, a critical component of cognitive development.

ObjectiveWe characterized post-infancy child growth patterns and determined the incidence of becoming stunted and of recovery from stunting.DesignData came from Young Lives, a longitudinal study of childhood poverty in four low- and middle-income countries.SettingWe analysed length/height measurements for children at ages 1, 5 and 8 years.SubjectsChildren (n 7171) in Ethiopia, India, Peru and Vietnam.ResultsMean height-for-age Z-score (HAZ) at age 1 year ranged from −1·51 (Ethiopia) to −1·08 (Vietnam). From age 1 to 5 years, mean HAZ increased by 0·27 in Ethiopia (P < 0·001) and decreased among the other cohorts (range: −0·19 (Peru) to −0·32 (India); all P < 0·001). From 5 to 8 years, mean HAZ increased in all cohorts (range: 0·19 (India) to 0·38 (Peru); all P < 0·001). Prevalence of stunting (HAZP < 0·001) and increased in the other cohorts (range: 3·0 percentage points (Vietnam) to 5·3 percentage points (India); all P ≤ 0·001). From 5 to 8 years, stunting prevalence decreased in all cohorts (range: 5·0 percentage points (Vietnam) to 12·7 percentage points (Peru); all P < 0·001). The incidence of becoming stunted between ages 1 to 5 years ranged from 11 % (Vietnam) to 22 % (India); between ages 5 to 8 years, it ranged from 3 % (Peru) to 6 % (India and Ethiopia). The incidence of recovery from stunting between ages 1 and 5 years ranged from 27 % (Vietnam) to 53 % (Ethiopia); between ages 5 and 8 years, it ranged from 30 % (India) to 47 % (Ethiopia).ConclusionsWe found substantial recovery from early stunting among children in four low- and middle-income countries.

In Chile, workers are mandated to choose either public or private health insurance coverage. Although private insurance premiums depend on health risk, public insurance premiums are solely linked to income. This structure implies that individuals with higher health risks may tend to avoid private insurance, leaving the public insurance system responsible for their care. This article attempts to explore the determinants of health insurance selection (private vs public) by individuals in Chile and to test empirically whether adverse selection indeed exists. We use panel data from Chile's 'Encuesta de Proteccion Social' survey, which allows us to control for a rich set of individual observed and unobserved characteristics using both a cross-sectional analysis and fixed-effect methods. Results suggest that age, sex, job type, income quintile and self-reported health are the most important factors in explaining the type of insurance selected by individuals. Asymmetry in insurance mobility caused by restrictions on pre-existing conditions may explain why specific illnesses have an unambiguous relationship with insurance selection. Empirical evidence tends to indicate that some sorting by health risk and income levels takes place in Chile. In addition, by covering a less healthy population with higher utilization of general health consultations, the public insurance system may be incurring disproportionate expenses. Results suggest that if decreasing segmentation and unequal access to health services are important policy objectives, special emphasis should be placed on asymmetries in the premium structure and inter-system mobility within the health care system. Preliminary analysis of the impact of the 'Garantias Explicitas de Salud' plan (explicit guarantees on health care plan) on insurance selection is also considered.

Purpose We aimed to estimate group-based trajectories of body mass index (BMI) in a longitudinal cohort of young women and determine the association between sexual identity and BMI trajectory group, adjusting for obesity risk factors. Methods We analyzed data from females in waves I–IV of the National Longitudinal Study of Adolescent to Adult Health. Sexual identity was categorized as heterosexual, mostly heterosexual, bisexual, or lesbian (homosexual/mostly homosexual). We conducted group-based trajectory modeling of BMI with a censored normal distribution and a cubic relationship with age to identify three BMI trajectory groups. Multinomial logit regressions predicted the risk of trajectory membership associated with sexual identity, adjusting for background characteristics. Results At wave I, the mean (n = 7,801) age was 15.9 years (95% confidence interval: 15.6–16.1). Subjects were 16.3% African-American; and 80.0% heterosexual, 15.9% mostly heterosexual, 2.5% bisexual, and 1.7% lesbian. Group-based trajectory modeling identified three BMI trajectory groups characterized as (1) minimal obesity (62.2%), (2) developing obesity (29.9%), and (3) progressive obesity (8.0%). In multinomial logit regressions adjusted for age, race, parental obesity and education, sexual abuse, household income, screen time, depressive symptoms, and rural residence, lesbian women had a nearly two-fold higher relative risk of being in the developing obesity trajectory group (relative risk ratio = 1.91, 95% confidence interval: 1.10–3.32) relative to the minimal obesity group, compared with heterosexual women. Conclusions Lesbian women were at increased risk of membership in the developing obesity trajectory group compared with heterosexual women. Adjusting for obesity risk factors had minimal impact on the point estimates for this association.

Background: Early life growth failure and resulting cognitive deficits are often assumed to be very difficult to reverse after infancy. Objective: We used data from Young Lives, which is an observational cohort of 8062 children in Ethiopia, India, Peru, and Vietnam, to determine whether changes in growth after infancy are associated with schooling and cognitive achievement at age 8 y. Design: We represented the growth by height-for-age z score at 1 y [HAZ(1)] and height-for-age z score at 8 y that was not predicted by the HAZ(1). We also characterized growth as recovered (stunted at age 1 y and not at age 8 y), faltered (not stunted at age 1 y and stunted at age 8 y), persistently stunted (stunted at ages 1 and 8 y), or never stunted (not stunted at ages 1 and 8 y). Outcome measures were assessed at age 8 y. Results: The HAZ(1) was inversely associated with overage for grade and positively associated with mathematics achievement, reading comprehension, and receptive vocabulary. Unpredicted growth from 1 to 8 y of age was also inversely associated with overage for grade (OR range across countries: 0.80–0.84) and positively associated with mathematics achievement (effect-size range: 0.05–0.10), reading comprehension (0.02–0.10), and receptive vocabulary (0.04–0.08). Children who recovered in linear growth had better outcomes than did children who were persistently stunted but were not generally different from children who experienced growth faltering. Conclusions: Improvements in child growth after early faltering might have significant benefits on schooling and cognitive achievement. Hence, although early interventions remain critical, interventions to improve the nutrition of preprimary and early primary school–age children also merit consideration.

This case study examines new enrollment trends from 1999 through late 2004 in Medicaid and SCHIP for children in Missouri.