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Changes in food choice often accompany globalization and economic growth. These changes have not been well documented in rural settings and among young people. To advance research on food choice, we demonstrate adolescents’ selection of local vs.non-local foods in a rural area of India where globalization is just reaching. A representative sample of 237 school-going adolescents in a village in Southern India completed a survey in 2019 to understand how adolescents decide among foods traditional to the area and foods arriving from other parts of the country and the world. Adolescents most frequently consumed local foods but also occasionally consumed non-local items. In hypothetical scenarios, 81% of the adolescents reported being most interested in substituting local foods with non-local foods if they were to have more money. Among the few who currently consumed non-local snacks and drinks, very few would be willing to replace them with local alternatives, particularly if they were to have more money (snacks: 10% and drinks: 5% respectively). Overall, adolescents were most interested in switching to non-local items when considering fruits, vegetables and snacks. As India faces the dual burden of undernutrition and overnutrition, understanding the changing food environment may help inform efforts to improve nutrition.

Objective: We examined multimorbidity among foreign-born adults in the United States. This population may be particularly affected by chronic conditions and limited health care access.Design: Longitudinal cohort.Setting: United States.Participants: Foreign-born adults at the point of legal permanent residency.Methods: We estimated the prevalence of multimorbidity and patterns over time. Data are from the New Immigrant Survey (NIS), a nationally representative study of adult immigrants at green card status in 2003 (N=8,174) and reinterview in 2008.Main Outcome Measures: Multimorbid­ity defined as two or more of eight chronic conditions (hypertension, diabetes, obesity, arthritis, stroke, cancer, chronic lung dis­ease, and heart problems).Results: The prevalence of multimorbid­ity was 6% in 2003, and 12% in 2008. The most common condition dyad at both time points was hypertension-obesity; the largest increase over time was in combinations that included hypertension, diabetes, and obesity. The odds of having multimorbidity compared to no chronic conditions were higher among older immigrants and those who had seen a doctor in the past year. The odds of gaining one chronic condition over a 5-year period increased with age; 45-65 years: OR 2.8[CI 2.3,3.5]; aged ≥65 years: OR 3.2 CI[2.2,4.7].Conclusions: The prevalence of multimor­bidity among immigrants was lower than the prevalence in the overall US population of the same age, consistent with studies show­ing an immigrant health advantage. Ethn Dis. 2022;32(3):213-222; doi:10.18865/ed.32.3.213

In developed countries, low disparity in lifespan contributed by the reduction in the burden of noncommunicable diseases (NCDs) is the key to advances in epidemiological transition. Contrarily, India passing through a phase of the dual burden of CDs and NCDs shows a heavy burden of NCDs responsible for the high disparity in lifespan. The Gini coefficient was decomposed for examining the contribution of 22 causes of death and their repercussions for inequality in age at death for 30 years between 1990–1994 and 2015–2019, using Global Burden of Disease data. The outcomes of the study reveal that India’s epidemiological transition has been just modest on account of high inequality in mortality by NCDs emplaced in the middle through old age despite a consistent mortality decline at infant through old age for communicable diseases (CDs). The structural changes in causes of death structure is shaped by CDs rather than NCDs, but overall bolstered by the adult mortality decline, especially in women. However, the process is restrained by the small contribution of the middle age group and a benign contribution of old mortality decline owing to the low threshold age. India needs to target health interventions in seeking significant mortality decline in the middle age group of 50–69 years that is warranted for epidemiological transition apace as evident in the developed nations.

We evaluated the relationship of urinary sodium excretion with a conditional mean, 10th and 90th percentiles of body mass index (BMI), and waist circumference among 10,034 person-visits of Bangladeshi population. We fitted linear mixed models with participant-level random intercept and restricted maximum likelihood estimation for conditional mean models; and quantile mixed-effect models with participant-level random intercept and Laplace estimation for 10th and 90th percentiles models. For each 100 mmol/24 h increase in urinary sodium excretion, participants had a 0.10 kg/m2 (95% CI: 0.00, 0.10) increase in the mean; a 0.39 kg/m2 (95% CI: 0.23, 0.54) increase in the 10th percentile; and a 0.59 kg/m2 (95% CI: 0.39, 0.78) increase in the 90th percentile of BMI. For each 100 mmol/24 h increase in urinary sodium excretion, participants had a 0.20 cm (95% CI: 0.10, 0.30) increase in mean; a 0.18 cm (95% CI: −0.03, 0.40) change in the 10th percentile; and a 0.23 cm (95% CI: 0.03, 0.43) increase in the 90th percentile of waist circumference. We found a modest association between urine sodium and conditional mean of BMI and waist circumference. The magnitude of associations between urine sodium and the 10th and 90th percentile BMI distributions were higher compared to the conditional mean models, suggesting high sodium intake could be more detrimental to underweight and obese participants.

Most Indian adolescents, particularly girls and private school students, do not engage in sufficient physical activity (PA). Current understanding of these sociodemographic differences is limited by a focus on exercise, which may not fully capture PA in developing countries. We examined how gender and school type are associated with multiple PA domains and whether associations with gender differ by school type. We randomly selected an equal number of girls and boys (ages 13-16 years) from public and private schools in Southern India ( n = 395). Cross-sectional 24-hour time-use surveys measured PA, which was categorized into three domains: chores, errands, and work; play; and transportation. Negative binomial and logistic regression modeled relative differences in domain-specific PA minutes and the probability of engaging in ≥60 minutes of moderate-to-vigorous PA (MVPA), respectively, in the prior 24 hours. Girls and boys were equally likely to meet MVPA recommendations. However, girls spent twice as much active time completing chores, errands, and work (rate ratio = 1.98, 95% confidence interval = [1.32, 2.98]), while boys spent twice as much active time playing (rate ratio = 2.11, 95% confidence interval = [1.23, 3.62]). Public and private school girls spent more active time in chores, errands, and work than boys; however, gender differences were greater among public school students ( p value for interaction

Background In low-resource settings, urbanization may contribute to the individual-level double burden of malnutrition (DBM), whereby under- and overnutrition co-occur within the same individuals. Objective We described DBM prevalence among Malawian women by urban-rural residence, examined whether urban residence was associated with DBM, and assessed whether DBM prevalence was greater than the prevalence expected by chance given population levels of under- and overnutrition, which would suggest DBM is a distinct phenomenon associated with specific factors. Methods We analyzed nationally representative data of 723 nonpregnant women aged 15-49 y from the 2015-2016 Malawi Micronutrient Survey. DBM was defined as co-occurring overweight or obesity (OWOB) and ≥1 micronutrient deficiency or anemia. We used Poisson regression models to examine the association between urban residence and DBM and its components. The Rao-Scott modified chi-square test compared the observed and expected DBM prevalence. Results Nationally, 10.8% (95% CI: 7.0, 14.5) of women had co-occurring OWOB and any micronutrient deficiency and 3.4% (95% CI: 1.3, 5.5) had co-occurring OWOB and anemia. The prevalence of co-occurring OWOB and any micronutrient deficiency was 2 times higher among urban women than rural women [urban 32.6 (24.1, 41.2) compared with rural 8.6 (5.2, 11.9), adjusted prevalence ratio: 2.0 (1.1, 3.5)]. Co-occurring OWOB and anemia prevalence did not significantly differ by residence [urban 6.9 (0.6, 13.2) compared with rural 3.0 (0.8, 5.3)]. There were no statistically significant differences in observed and expected prevalence estimates of DBM. Conclusions This analysis shows that co-occurring OWOB and any micronutrient deficiency was higher among women in urban Malawi compared with rural areas. However, our finding that co-occurring OWOB and any micronutrient deficiency or anemia may be due to chance suggests that there may not be common causes driving DBM in Malawian women. Thus, there may not be a need to design and target interventions specifically for women with DBM.

INTRODUCTION: Obesity prevalence among children and adolescents has risen sharply, yet there is a limited understanding of the age-specific dynamics of obesity as there is no single nationally representative cohort following children into young adulthood. Investigators constructed a pooled data set of 5 nationally representative panels and modeled age-specific obesity incidence from childhood into young adulthood. METHODS: This longitudinal prospective follow-up used 718,560 person-years of observation in a pooled data set of 5 high-quality nationally representative panels— National Longitudinal Survey of Youth 1979 and 1997, National Longitudinal Study of Adolescent Health, and Early Childhood Longitudinal Study-Kindergarten cohorts of 1998 and 2011—constructed by the authors covering 1980–2016. Differences in obesity incidence across birth cohorts and disparities in obesity incidence by sex and race/ethnicity (non-Hispanic Black, Hispanic, and non-Hispanic White) were tested in multivariate models. Data were analyzed from September 2018 to October 2021. RESULTS: Obesity incidence increased by approximately 6% for each 1 year of age (hazard ratio=1.06, 95% CI=1.05, 1.07); however, incidence was non-linear, exhibiting an inverted U-shaped pattern before age 15 years and then rising from adolescence through age 30 years. Obesity incidence more than doubled between the cohorts born in 1957–1965 and those born in 1974–1985 during adolescence. There was no significant change among those born in 1991–1994 and 2003–2006 up to age 15 years. Compared with non-Hispanic White children, non-Hispanic Black and Hispanic children had higher obesity incidence in all study cohorts. The magnitude of these disparities on the relative scale remained stable throughout the study period. CONCLUSIONS: Although many children become obese prior to age 10 years, obesity incidence rises from about age 15 years into early adulthood, suggesting that interventions are required at multiple developmental stages.

Background India holds the world's largest burden of chronic and acute child undernutrition. Poverty and systemic inequities are basic causes of undernutrition that also drive households to engage in circular migration for livelihood. Short-term, temporary movement of the whole family, including young children, is common; yet, the nutritional implications of recurrent movements beginning in early life has not been studied. We sought to estimate the association of repeat and early life migration with stunting and wasting outcomes among circular migrant children under three. Methods Using a stratified cluster design, we conducted two waves of primary data collection among 2564 randomly selected circular migrant children under three years of age temporarily residing across 1156 brick kilns in Bihar, India. We conducted multilevel modeling to estimate the association of the number of migration episodes and age at first migration with stunting (

ObjectivesAssess differences in movement behaviours within the 24-hour cycle, including light intensity physical activity (LPA), moderate-to-vigorous physical activity (MVPA), sedentary time and sleep, before and during the COVID-19 pandemic and assess these differences stratified by several relevant factors in a subcohort of the Cancer Prevention Study-3.Design and settingUS-based longitudinal cohort study (2018–August 2020).ParticipantsN=1992 participants, of which 1304 (65.5%) are women, and 1512 (75.9%) are non-Latino white, with a mean age 57.0 (9.8) years.MeasuresAge, sex, race/ethnicity, education; self-reported LPA, MVPA, sedentary time and sleep duration collected before and during the pandemic; pandemic-related changes in work, childcare and living arrangement; COVID-19 health history.ResultsCompared to 2018, participants spent an additional 104 min/day sedentary, 61 fewer min/day in LPA and 43 fewer min/day in MVPA during the pandemic. Time spent sleeping was similar at the two time points. Differences in movement behaviours were more pronounced among men, those with a higher level of education, and those who were more active before the pandemic.ConclusionsFrom 2018 to Summer 2020, during the COVID-19 pandemic, US adults have made significant shifts in daily time spent in LPA, MVPA and sedentary. There is an urgent need to promote more physical activity and less sedentary time during this public health crisis to avoid sustaining these patterns long-term.

Background Diabetes poses a heavy burden on patients due to its progressive and chronic nature; it requires continuous management to promote a high-quality and long life. Disease management is especially challenging in emergency settings. We examined how displaced people with diabetes experienced managing their illness before and throughout the process of fleeing their home communities and seeking resettlement in Europe. Design We designed an interview instrument with closed- and open-ended questions about diabetes diagnosis and management before fleeing the home country, during migration, stays in transit countries, and reception in the European Union. We interviewed 20 asylum seekers living in Belgian reception centres with diagnosed diabetes mellitus. Results Primary topics emerging from interviews were availability, accessibility, and quality. Belgium was described as a setting with high availability, accessibility, and quality of diabetes management components (medication, tools, care) compared to other settings before and during migration. Even in Belgium, maintaining a healthy diet as an asylum seeker was difficult. Other concerns such as safety, other health issues, and the asylum request itself often outweighed diabetes management. Conclusions Displaced people in non-western countries need attention for nutrition and diabetes medicine, so aid agencies should consider providing for those needs. For people seeking asylum in the West and living in temporary facilities, care should be paid to the dietary options available for those with diabetes. For irregular migrants, diabetes can be deadly, and resources should be made available for their basic diabetes needs, even if they are not eligible for regular health services.

Low socioeconomic position (SEP) across the lifecourse is associated with Type 2 diabetes (T2DM). We examined whether these economic disparities differ by race and sex. We included 5448 African American (AA) and white participants aged ≥45 years from the national (United States) REasons for Geographic and Racial Differences in Stroke (REGARDS) cohort without T2DM at baseline (2003–07). Incident T2DM was defined by fasting glucose ≥126 mg/dL, random glucose ≥200 mg/dL, or using T2DM medications at follow-up (2013–16). Derived SEP scores in childhood (CSEP) and adulthood (ASEP) were used to calculate a cumulative (CumSEP) score. Social mobility was defined as change in SEP. We fitted race-stratified logistic regression models to estimate the association between each lifecourse SEP indicator and T2DM, adjusting for covariates; additionally, we tested SEP-sex interactions. Over a median of 9.0 (range 7–14) years of follow-up, T2DM incidence was 167.1 per 1000 persons among AA and 89.9 per 1000 persons among white participants. Low CSEP was associated with T2DM incidence among AA (OR = 1.61; 95%CI 1.05–2.46) but not white (1.06; 0.74–2.33) participants; this was attenuated after adjustment for ASEP. In contrast, low CumSEP was associated with T2DM incidence for both racial groups. T2DM risk was similar for stable low SEP and increased for downward mobility when compared with stable high SEP in both groups, whereas upward mobility increased T2DM risk among AAs only. No differences by sex were observed. Among AAs, low CSEP was not independently associated with T2DM, but CSEP may shape later-life experiences and health risks.

Purpose: This study contributes to the growing literature on the association between sleep and obesity by examining the associations between hours of sleep, consistency of bedtime, and obesity among children in the US. Design: Analysis of a nationally representative sample of non-institutionalized children from the 2016-17 National Survey of Children’s Health. Setting: US, national. Subjects: Children ages 10-17 years (n = 34,640) Measures: Parent reported weeknight average hours of sleep and consistency of bedtime. Body mass index classified as underweight, normal, overweight or obesity using parent-reported child height and weight information, classified using CDC BMI-for-Age Growth Charts. Analysis: Multivariate logistic regression models were used to estimate associations between measures of sleep and body mass index weight category adjusting for individual, household and neighborhood characteristics. Results: An additional hour of sleep was associated with 10.8% lower odds of obesity, net of consistency in bedtime. After controlling for sleep duration, children who usually went to bed at the same time on weeknights had lower odds of obesity (24.8%) relative to children who always went to bed at the same time. Conclusion: Sleep duration is predictive of lower odds of obesity in US children and adolescents. Some variability in weeknight bedtime is associated with lower odds of obesity, though there were no additional benefits to extensive variability in bedtime.

We investigated the influence of parents’ weight status on their children’s growth trajectories and its association with age at onset of overweight and obesity. We used 16,396 height and weight records from 3,284 youths from the Panel Study of Income Dynamics, followed across childhood into adulthood (United States, 1997–2017). Across age groups, we modeled body mass index trajectories (ages 5–32 years) according to parents’ weight status, using mixed-effect models to estimate age at onset of overweight and obesity and proportion with obesity from childhood to adulthood. There were large differences in growth patterns according to parents’ weight status: Children of parents with obesity had, on average, overweight at age 6 (95% confidence interval (CI): 5, 7) and steep growth trajectories until age 12; children of normal-weight parents had slower increases in body mass index, reaching overweight on average at age 25 (95% CI: 24, 27). By age 30, 30% (95% CI: 28, 31) of youths had obesity. Differences in early-life growth persisted into adulthood: 48% (95% CI: 45, 52) of adult children of parents with obesity had obesity versus 16% (95% CI: 14, 19) of those of normal-weight parents. Trajectories to unhealthy weight were heavily influenced by parents’ weight status, especially before age 12, children of parents with obesity having overweight 19 earlier in life than children of normal-weight parents.

Background Asset-based indices are widely-used proxy measures of wealth in low and middle-income countries (LMIC). The stability of these indices within households over time is not known. Methods We develop a harmonized household asset index using Principal Component Analysis for the participants (n = 2392) of INCAP Longitudinal Study, Guatemala using data from six waves of follow-up over the period of 1965–2018. We estimate its cross-sectional association with parental schooling (in 1967–75) and attained schooling (in 2015–18) of cohort members. We study how patterns of cross-sectional loadings change over time and between urban-rural settings. We assess its robustness to omission of assets or study waves and alternate specifications of factor extraction procedure (exploratory factor analysis, multiple correspondence analysis). Results The harmonized index constructed using 8 assets and 11 housing characteristics explained 32.4% of the variance. Most households increased in absolute wealth over time with median wealth (25th percentile, 75th percentile; households) increasing from − 3.74 (− 4.42, − 3.07; 547) in 1967 to 2.08 (1.41, 2.67; 1145) in 2017–18. Ownership of television, electricity, quality of flooring and sanitary installation explained the largest proportion of variance. The index is positively associated with measures of schooling (maternal: r = 0.16; paternal: r = 0.10; attained: r = 0.35, all p Conclusion A temporally harmonized asset index constructed from consistently administered surveys in a cohort setting over time may allow study of associations of life-course social mobility with human capital outcomes in LMIC contexts. The approach permits exploration of trends in household wealth of the sample over a follow-up period against repeated cross-sectional surveys which permit the estimation of only the mean trajectory.

OBJECTIVE We investigated the risk of depression and anxiety in people whose spouse did or did not have diabetes. We also examined associations between depression and anxiety and severity of spouse’s diabetes. RESEARCH DESIGN AND METHODS We analyzed prospective self-reported data about diagnosed depression/anxiety and diabetes in cohabiting couples in the national Panel Study of Income Dynamics (PSID) during 1999–2017 (n = 13,500, 128,833 person-years of follow-up, median follow-up 8.1 years). We used Poisson models to estimate incidence and incidence rate ratios (IRRs) of depression/anxiety, according to spouse’s diabetes status overall and by severity of diabetes. RESULTS Age-, sex-, and race-adjusted incidence of depression/anxiety was 8.0/1,000 person-years (95% CI 6.5, 9.6) among those whose spouse had diabetes and 6.5/1,000 person-years (95% CI 6.0, 6.9) among those whose spouse did not have diabetes. Those whose spouse had diabetes had higher risk of depression/anxiety (IRR 1.24 [95% CI 1.01, 1.53]). Those whose spouse had diabetes-related limitations in daily activities (IRR 1.89 [95% CI 1.35, 2.67]) and diabetes combined with other chronic conditions (IRR 2.34 [95% CI 1.78, 3.09]) were more likely to develop depression/anxiety, while those whose spouse had diabetes with no limitations or additional chronic conditions had incidence of depression/anxiety similar to that of subjects whose spouses did not have diabetes. CONCLUSIONS People living with a spouse with diabetes are at higher risk of developing depression/anxiety than people whose spouse does not have diabetes; this risk is driven by the severity of the spouse’s diabetes. Strategies to address the impacts of diabetes on families need to be devised and tested.

Background In India, the prevalence of overweight and obesity has increased rapidly in recent decades. Given the association between overweight and obesity with many non-communicable diseases, forecasts of the future prevalence of overweight and obesity can help inform policy in a country where around one sixth of the world's population resides. Methods We used a system of multi-state life tables to forecast overweight and obesity prevalence among Indians aged 20-69 years by age, sex and urban/rural residence to 2040. We estimated the incidence and initial prevalence of overweight using nationally representative data from the National Family Health Surveys 3 and 4, and the Study on global AGEing and adult health, waves 0 and 1. We forecasted future mortality, using the Lee-Carter model fitted life tables reported by the Sample Registration System, and adjusted the mortality rates for Body Mass Index using relative risks from the literature. Results The prevalence of overweight will more than double among Indian adults aged 20-69 years between 2010 and 2040, while the prevalence of obesity will triple. Specifically, the prevalence of overweight and obesity will reach 30.5% (27.4%-34.4%) and 9.5% (5.4%-13.3%) among men, and 27.4% (24.5%-30.6%) and 13.9% (10.1%-16.9%) among women, respectively, by 2040. The largest increases in the prevalence of overweight and obesity between 2010 and 2040 is expected to be in older ages, and we found a larger relative increase in overweight and obesity in rural areas compared to urban areas. The largest relative increase in overweight and obesity prevalence was forecast to occur at older age groups. Conclusion The overall prevalence of overweight and obesity is expected to increase considerably in India by 2040, with substantial increases particularly among rural residents and older Indians. Detailed predictions of excess weight are crucial in estimating future non-communicable disease burdens and their economic impact.

Objective Unhealthy weight is a major global health concern. This study examines unhealthy weight among children in Spain and the role of the home environment therein. Data are from a 2010 national survey of families with children. We examined unhealthy weight among children ages 5–10 years using the WHO Child Growth Standards and used multivariate logistic regression to assess associations with family characteristics. Results There was a high prevalence of unhealthy weight, with only 46% of children at normal weight. Both underweight and obesity were higher among boys (14%; 22%) than girls (13%; 12%). Underweight and obesity were higher among children of mothers with obesity and those with unemployed parents. Obesity was higher among children of mothers who were less educated (35%) and among children of immigrants (19%). We find high levels of unhealthy weight in children, with both underweight and obesity being predicted by the same family environment characteristics. Electronic supplementary material The online version of this article (10.1186/s13104-018-3665-2) contains supplementary material, which is available to authorized users.

Purpose: To examine associations of adolescent sugar-sweetened beverage (SSB) intake with parent SSB intake and parent and adolescent knowledge of SSB-related health risks. Design: Quantitative, cross-sectional. Setting: 2014 SummerStyles survey. Subjects: Nine hundred and ninety parent and adolescent (12-17 years) pairs. Measures: The outcome was self-reported adolescent intake (0, >0 to 0 to Analysis: Separate multinomial logistic regression models were used to estimate adjusted odds ratios (aORs) for adolescent SSB intake ≥1 time/day (ref: 0 times/day), according to (1) parent SSB intake and (2) parent and (3) adolescent knowledge. Results: About 31% of adolescents consumed SSBs ≥1 time/day, and 43.2% of parents consumed SSBs ≥2 times/day. Adolescent and parent knowledge that SSB intake is related to health conditions ranged from 60.7% to 80.4%: weight gain (75.0% and 80.4%, respectively), diabetes (60.7% and 71.4%, respectively), and dental caries (77.5% and 72.9%, respectively). In adjusted models, adolescent SSB intake ≥1 time/day was associated with parent intake ≥2 times/day (aOR = 3.30; 95% confidence interval = 1.62-6.74) but not with parent or adolescent knowledge of health risks. Conclusion: Parental SSB intake may be an important factor in understanding adolescent behavior; knowledge of SSB-related health conditions alone may not influence adolescent SSB behavior.

People socially connected with each other often share health risks, possibly due to shared environments and behaviors. In a retrospective cohort study, we examined whether incidence of diabetes was different for individuals with recently diagnosed partners compared to individuals similar on other characteristics but whose partners were never diagnosed with diabetes. We analyzed 2007–11 data from Kaiser Permanente Northern California (KNPC), an integrated health system with >3.5 million members. We estimated annual diabetes incidence controlling for demographic, socio-economic, behavioral, and health characteristics. Using propensity score matching and multivariate logistic regression, we compared odds of incident diabetes among co-residing partners ages 18–89 years of people who had been diagnosed with diabetes during the previous year (in robustness checks up to the previous three years) and people who had never been diagnosed but were similar on observed characteristics. Partners of newly-diagnosed people had annual diabetes incidence of 16.4/1,000, equivalent to10.8 times higher (95%CI: 9.2–12.6) than people whose spouses had never been diagnosed (1.5/1,000). Odds remained higher three years after a spouses’ diagnosis (45.4 vs. 11.7/1,000). Adjusting for other characteristics, odds of diabetes for those with a partner diagnosed in the previous year were 8.7 times higher CI: 7.4–10.2) than among those whose partner had never been diagnosed. Partners of persons with recently-diagnosed diabetes developed diabetes at much higher rates than partners of persons with similar characteristics who were never diagnosed with diabetes. Individuals with a recently diagnosed partner could be considered a high-risk population for screening and prevention.

The gut microbiome is a critical component of an individual’s metabolism and overall health. The prenatal period is marked by unique inflammatory and immune changes that alter maternal gut function and bacterial composition as the pregnancy advances. The composition of the maternal gut microbiome contributes to obstetric outcomes with long-term health sequelae for mother and child. Estrogen and progesterone also impact gut function, especially during the prenatal period. These physiologic changes in pregnancy allow for adjustments in maternal metabolism and weight necessary to support the pregnancy. This article will review the normal hormonal, metabolic and immunologic changes to the maternal gut microbiome throughout the prenatal period, in addition to relevant implications for nurses providing care for pregnant women.

This study uses freelists to document perceptions of healthfulness, modernity, and availability of foods and beverages among adolescents ages 13-18 years (n = 26) in urbanizing India. Among the 10 foods and beverages adolescents perceived as "new," half were also seen as modern and unhealthy, 4 as traditional and unhealthy, and 3 as modern and healthy. Of those 10 "new" foods, 4 were reported as available only in supermarkets, 4 only in kiraana (local) stores, and 6 in both. Adolescents ascribed healthfulness and modernity to food and beverage items and were aware of their availability across stores.

Background The prevalence of obesity and other chronic diseases is increasing in India and around the world. As globalization and social changes are believed to be at the root of these epidemiological changes, these factors must be better understood. This study engaged older adults to gain an important perspective on globalization and health. Methods A free-list instrument and a structured survey were developed and used to gather data on changes in diet, activity, and women’s roles from ten grandmothers in rural India. Results Grandmothers indicated that household chores and food preparation are less labor-intensive and time-consuming due to mechanization and the availability of prepared foods than a generation earlier. Families are more often eating food out, bringing prepared food home, and using ready-made food mixes; adolescents are continuing to eat meals at home, but now snack with friends outside the home more frequently. Conclusions Using both a free-list instrument and a structured survey, grandmothers were able to provide insights about the changing context of dietary patterns and family roles arising with globalization that may be contributing to the rise in chronic disease. Electronic supplementary material The online version of this article (doi:10.1186/s13104-017-2583-z) contains supplementary material, which is available to authorized users.

Weight-related behaviors such as sedentary activity, physical activity, and diet have been the focus of efforts to prevent and reduce the occurrence of obesity and overweight in children, but few longitudinal studies have examined the effects of weight-related behaviors on changes in weight status over time in children. This study examines the effects of weight-related behaviors on subsequent changes in weight during childhood. We used the Early Childhood Longitudinal Study Kindergarten Cohort (ECLS-K), a nationally representative prospective cohort of children in the United States. Data, including anthropometric measures, were collected six times across 1998–2007 (analytic sample = 4938). We employed an autoregressive cross-lagged model in a structural equation model framework to assess the effects of behavioral factors -intake of fruit, vegetables, fast food and sugar-sweetened beverages, television viewing, and physical activity - on weight stability over time. BMI z-scores were highly stable throughout childhood: the standardized parameter estimates of BMI z-scores on subsequent-period BMI z-scores ranged from 0.79 to 0.86. BMI z-scores were least stable between Kindergarten and 1st grade but became highly stable between 3rd and 5th grades. After accounting for prior weight, behavioral factors had little effect on subsequent weight. The most important behavioral factor was TV viewing in the 1st and 3rd grades: an additional hour of daily TV viewing was associated with 0.04 higher BMI z-score. It is important to prevent excessive weight gain early in childhood, as weight patterns are long-lasting; the most important behavioral factor may be limiting children's screen time.

Evidence is accumulating that obesity risks become established early in life. The goal of this systematic review is to assess whether there is evidence that rapid postnatal growth holds different implications for childhood obesity risks for children who experienced different patterns of prenatal growth. We conducted systematic database searches in PubMed and Embase in October 2014 for studies assessing the implications of prenatal and postnatal growth for childhood obesity. The 18 studies meeting inclusion criteria indicated that risks of obesity increased with birthweight; risks of obesity also increased with rapid postnatal growth for children across the birthweight distribution. Fifteen studies indicated that rapid postnatal growth is linearly associated with obesity for children and adolescents of all sizes at birth, with no interaction effect. Three studies reported interaction effects with postnatal growth, conferring additional increased risk of obesity among children and adolescents who were small at birth. Both prenatal and postnatal growth are important risk factors for obesity, and their combined effects should be analyzed further to understand how obesity risks develop early in life.

Objectives This study examines the relationship between alcohol consumption and incident stroke among older adults and tests whether alcohol consumption contributes to observed race and sex differences in stroke. Method Data are from a U.S. national cohort of black and white adults aged 45 and older, the REasons for Geographic And Racial Differences in Stroke (REGARDS) study. Current and past drinking levels were reported at baseline (2003-2007). Participants who had never had a stroke were followed for adjudicated stroke events through September 2015 (n = 27,265). We calculated Cox proportional hazard models for stroke, adjusting for demographic, socioeconomic, behavioral, and health characteristics. Results Participants, mean age 64.7 years, consumed on average 2.2 drinks/week and experienced 1,140 first-time stroke events over median 9.1 years follow-up. Nondrinkers had a 12% higher risk of stroke than current drinkers; the risk of stroke among nondrinkers largely reflected high risks among past drinkers; these differences were explained by socioeconomic characteristics. Among current drinkers, light drinkers had significantly lower stroke risks than moderate drinkers after accounting for demographic, socioeconomic, behavioral, and health characteristics. Implications of alcohol did not differ between blacks and whites but did differ by sex: Especially among women, nondrinkers, and specifically past drinkers, had higher risks; these differences were largely explained by health characteristics and behaviors. Alcohol did not explain race and sex differences in stroke incidence. Discussion Among older adults, those who used to, but no longer, drink had higher risks of stroke, especially among women; current light drinkers had the lowest risk of stroke.

ObjectiveTo develop and evaluate a Nutrition Transition-FFQ (NT-FFQ) to measure nutrition transition among adolescents in South India.DesignWe developed an interviewer-administered NT-FFQ comprising a 125-item semi-quantitative FFQ and a twenty-seven-item eating behaviour survey. The reproducibility and validity of the NT-FFQ were assessed using Spearman correlations, intra-class correlation coefficients (ICC), and levels of agreement using Bland–Altman and cross-classification over 2 months (NT-FFQ1 and NT-FFQ2). Validity of foods was evaluated against three 24-h dietary recalls (24-HR). Face validity of eating behaviours was evaluated through semi-structured cognitive interviews. The reproducibility of eating behaviours was assessed using weighted kappa (κw) and cross-classification analyses.SettingVijayapura, India.SubjectsA representative sample of 198 adolescents aged 14–18 years.ResultsReproducibility of NT-FFQ: Spearman correlations ranged from 0·33 (pulses) to 0·80 (red meat) and ICC from 0·05 (fruits) to 1·00 (tea). On average, concordance (agreement) was 60 % and discordance was 7 % for food groups. For eating behaviours,κwranged from 0·24 (eating snacks while watching television) to 0·67 (eating lunch at home) with a mean of 0·40. Validity of NT-FFQ: Spearman correlations ranged from 0·11 (fried traditional foods) to 0·70 (tea) and ICC ranged from 0·02 (healthy global foods) to 1·00 (grains). The concordance and discordance were 48 % and 8 %, respectively. Bland–Altman plots showed acceptable agreement between NT-FFQ2 and 24-HR. The eating behaviours had acceptable face validity.ConclusionsThe NT-FFQ has good reproducibility and acceptable validity for food intake and eating behaviours. The NT-FFQ can quantify the nutrition transition among Indian adolescents.

Purpose While high levels of obesity prevalence and incidence have been well documented, there is less research on obesity dynamics over time. In this article, we sought to understand the body mass index (BMI) trajectories in and out of obesity from adolescence to adulthood. Methods We used the National Longitudinal Study of Adolescent to Adult Health to explore American obesity dynamics from mean ages 15–28 years. We analyzed six BMI trajectories from 1994 to 2008 and examined their contextual sociodemographic correlates using ordinal logistic regression models. Results More than 50% of adolescents with normal BMI moved to overweight/obesity by adulthood; only 8% of overweight and 2% of obese adolescents achieved normal BMI in adulthood. While some sociodemographic characteristics such as sex, race/ethnicity, place of residence, and parents’ education were associated with being in certain BMI trajectories among adolescents with normal BMI, they were not so associated among adolescents starting at obesity. Conclusions Transitioning to higher BMI categories was common, whereas the opposite direction was rare. Pathways to obesity prevention might be easier to identify than those to reversal, as contextual factors had more explanatory power for youths with normal BMI than for those with obese BMI.

Background The effectiveness of school-based physical activity interventions for improving cardiopulmonary fitness (CPF) of overweight and obese children is not well established. In this study, we evaluated whether overweight and obese children had similar changes in body mass index (BMI) and CPF as normal weight children after participating in a program for one academic year. Methods Using purposive sampling at the school level, we selected 16 program and 7 control schools in a large metropolitan area in the Southeast during the 2015-2016 academic year. In these schools, 3396 fourth-graders participated with parental consent. Of these, 2332 (68.7%) participated in BMI measures and 1780 (52.4%) in Progressive Aerobic Cardiovascular Endurance Run (PACER) measures for CPF at two time points. Results Students of all weight statuses pre-program did not show changes in BMI after program implementation. All students showed statistically significant improvements in the PACER test at follow-up, regardless of their participation in the program. However, overweight and obese children showed less improvement in CPF level than their normal weight classmates, regardless of their participation in the program. Conclusion Special attention for improving engagements of overweight and obese children may be needed to achieve improvements in their CPF level similar to that of normal weight students.

Background Adolescence is a critical phase of human development that lays the foundation for health in later life. Of the 1.8 billion adolescents in the world, roughly 90% live in low and middle-income countries. Yet most longitudinal studies of adolescent physical activity, sedentary behavior, and sleep come from high-income countries. There is a need for a better understanding of these behaviors to inform obesity and chronic disease prevention strategies. Aims The aim of this study is to identify longitudinal patterns and associations between physical activity, sedentary behavior and sleep in urban South African adolescents. Methods We analyzed data from the Birth-to-Twenty Plus Cohort (Bt20+), a longitudinal study of children in Soweto, Johannesburg, South Africa. Behaviors were self-reported annually between ages 12 and 17 y. We used Latent Class Growth Analysis to group participants into classes based on common longitudinal trajectories of time spent in informal physical activity, organized sports, walking to and from school, sedentary behavior, and school-night and weekend sleep, respectively. We performed group-based multi-trajectory modeling to identify latent clusters of individuals who followed similar trajectories of informal physical activity, organized sports and walking to and from school, and who followed similar trajectories of these three domains together with sedentary behavior and sleep. Results The large majority of males (82%) and all females failed to meet the World Health Organization (WHO) physical activity recommendation for adolescents of 60 min of moderate-vigorous intensity physical activity per day. The physical activity domains clustered together in three multi-trajectory groups that define individuals’ overall physical activity pattern. While two patterns indicated decreases in physical activity throughout adolescence, one pattern, including 29% of the sample in males and 17% of the sample in females, indicated higher levels of activity throughout adolescence. Sedentary behavior and sleep trajectories did not cluster together with the physical activity domains. Conclusion Most adolescents in this South African population did not meet WHO recommendations for physical activity. In this population, trajectories of sedentary behavior and sleep were independent of physical activity. Electronic supplementary material The online version of this article (10.1186/s12887-019-1619-z) contains supplementary material, which is available to authorized users.

Studies from the social and health sciences have tended to view the household as the locus of access to and distribution of care, resources, monitoring and modeling for children's wellbeing. Obesity may present a special case for the study of investments in children, being a component of health for which more of certain inputs may not lead to better outcomes. We expanded on common measures of household structure in the child health literature by considering co-residence and relatedness of parents, grandparents, other relatives, and other children. Data were from a longitudinal sample of 6,700 children participating in the Early Childhood Longitudinal Study Kindergarten Class of 1998-99 (ECLS-K), the largest U.S. national dataset with measures of child anthropometrics and household structure at seven time-points over nine years. We used lagged survey-adjusted regressions to estimate associations between household structure and subsequent changes in children's weight between ages 5 and 14 years in terms of BMI gain and incident obesity. Adjusting for household structure more thoroughly, children living in households with two parents rather than one parent did not experience advantages in terms of less excess weight gain or lower incidence of obesity during elementary and middle school. Children living with a grandmother gained more weight than children not living with a grandmother. Living with siblings and with non-related adults was associated with less weight gain. These findings corroborate a scenario in which, for health problems associated with caloric surplus, classic household factors have more complex associations with child wellbeing.

Background:We examined the relationship between parents’ perception of neighborhood safety and children’s physical activity and use of recreation facilities in a US nationally representative sample of fifth grade children.Methods:We used data from the Early Childhood Longitudinal Study Kindergarten cohort, fifth grade sample (N = 9827). Multivariate logistic and linear regression models were used to examine associations between parents’ perception of neighborhood safety for outside play and number of days children engage in physical activity, as well as children’s use of recreational facilities for physical activity.Results:Children who used recreational facilities engaged in physical activity on more days of the week compared with children who did not use a facility (3.3 days vs. 3.8 days, P < .0001). Children from neighborhoods perceived as unsafe by parents engaged in almost 1 less day per week in physical activity (β = –.89, P < .0001). Children from neighborhoods perceived as unsafe were less likely to use recreational facilities compared with children from neighborhoods perceived as safe (odds ratio = 0.72, P < .0001). Children from less affluent families across rural and urban areas had half the odds of using recreational facilities compared with children from the wealthiest families living in urban areas.Conclusions:Parents’ perception of neighborhood safety for outside play can deter or promote children’s physical activity and use of recreational facilities. Children from less affluent families are less likely to use facilities than children from wealthy families, regardless of place of residence.

ObjectiveTo describe adolescents’ eating patterns of traditional, global/non-local and mixed foods, and the factors that may influence food consumption, access and preferences, in a globalizing city.DesignA representative sample of school-going adolescents completed a cross-sectional survey including an FFQ designed to identify traditional and global foods. Student’sttest and ordinal logistic regression were used to examine weekly food intake, including differences between boys and girls and between adolescents attending private and public schools.SettingVijayapura city, Karnataka State, India.SubjectsAdolescents (n399) aged 13–16 years.ResultsCompared with dietary guidelines, adolescents consumed fruit, green leafy vegetables, non-green leafy vegetables and dairy less frequently than recommended and consumed energy-dense foods more frequently than recommended. Traditional but expensive foods (fruits, dairy, homemade sweets and added fat) were more frequently consumed by private-school students, generally from wealthier, more connected families, than by public-school students; the latter more frequently consumed both traditional (tea, coffee, eggs) and mixed foods (snack and street foods;P≤0·05). Girls reported more frequent consumption of global/non-local packaged and ready-to-eat foods, non-green leafy vegetables and added fat than boys (P≤0·05). Boys reported more frequent consumption of eggs and street foods than girls (P≤0·05).ConclusionsAdolescents’ eating patterns in a globalizing city reflect a combination of global/non-local and traditional foods, access and preferences. As global foods continue to appear in low- and middle-income countries, understanding dietary patterns and preferences can inform efforts to promote diversity and healthfulness of foods.

PURPOSE When a person is given a diagnosis of diabetes, the changes in his or her health behaviors may influence the behaviors of his or her partner. The diabetes diagnosis may affect household members’ perceptions of their own health risks, which could trigger behavioral change. The purpose of this study was to assess whether partners of persons with newly diagnosed diabetes changed their health behaviors compared with partners of persons without diabetes. METHODS The study population consisted of Kaiser Permanente Northern California health plan members from 2007 to 2011. This cohort study assessed differences in change of 8 health behaviors. The study compared coresiding partners of persons with newly diagnosed diabetes before and after a diabetes diagnosis with a 5 to 1 matched sample of coresiding partners of persons without diabetes. RESULTS A total of 180,910 couples were included in the analysis. After adjusting for baseline characteristics, partners of persons with newly diagnosed diabetes had significantly higher rates of participation in weight management–related health education classes (risk ratio [RR] = 1.50; 95% CI, 1.39-1.63); smoking cessation medication use (RR = 1.25; 95% CI, 1.05-1.50); glucose screening (RR = 1.07; 95% CI, 1.05-1.08); clinically meaningful weight loss (RR = 1.06; 95% CI, 1.02-1.11); lipid screening (RR = 1.05; 95% CI, 1.04-1.07); influenza vaccination (RR = 1.03; 95% CI, 1.02-1.04); and blood pressure screening (RR = 1.02; 95% CI, 1.02-1.03) compared with partners of persons without diabetes. CONCLUSIONS There were small but significant differences in health-related behavioral changes among partners of persons with newly diagnosed diabetes compared with partners of persons without diabetes, even when no intervention occurred. This finding suggests a diabetes diagnosis within a family may be a teachable moment to improve health behaviors at the household level.

Summary Background The Global Burden of Disease, Injuries, and Risk Factor study 2013 (GBD 2013) is the first of a series of annual updates of the GBD. Risk factor quantification, particularly of modifiable risk factors, can help to identify emerging threats to population health and opportunities for prevention. The GBD 2013 provides a timely opportunity to update the comparative risk assessment with new data for exposure, relative risks, and evidence on the appropriate counterfactual risk distribution. Methods Attributable deaths, years of life lost, years lived with disability, and disability-adjusted life-years (DALYs) have been estimated for 79 risks or clusters of risks using the GBD 2010 methods. Risk–outcome pairs meeting explicit evidence criteria were assessed for 188 countries for the period 1990–2013 by age and sex using three inputs: risk exposure, relative risks, and the theoretical minimum risk exposure level (TMREL). Risks are organised into a hierarchy with blocks of behavioural, environmental and occupational, and metabolic risks at the first level of the hierarchy. The next level in the hierarchy includes nine clusters of related risks and two individual risks, with more detail provided at levels 3 and 4 of the hierarchy. Compared with GBD 2010, six new risk factors have been added: handwashing practices, occupational exposure to trichloroethylene, childhood wasting, childhood stunting, unsafe sex, and low glomerular filtration rate. For most risks, data for exposure were synthesised with a Bayesian metaregression method, DisMod-MR 2.0, or spatial-temporal Gaussian process regression. Relative risks were based on meta-regressions of published cohort and intervention studies. Attributable burden for clusters of risks and all risks combined took into account evidence on the mediation of some risks such as high body-mass index (BMI) through other risks such as high systolic blood pressure and high cholesterol. Findings All risks combined account for 57·2% (95% uncertainty interval [UI] 55·8–58·5) of deaths and 41·6% (40·1–43·0) of DALYs. Risks quantified account for 87·9% (86·5−89·3) of cardiovascular disease DALYs, ranging to a low of 0% for neonatal disorders and neglected tropical diseases and malaria. In terms of global DALYs in 2013, six risks or clusters of risks each caused more than 5% of DALYs: dietary risks accounting for 11·3 million deaths and 241·4 million DALYs, high systolic blood pressure for 10·4 million deaths and 208·1 million DALYs, child and maternal malnutrition for 1·7 million deaths and 176·9 million DALYs, tobacco smoke for 6·1 million deaths and 143·5 million DALYs, air pollution for 5·5 million deaths and 141·5 million DALYs, and high BMI for 4·4 million deaths and 134·0 million DALYs. Risk factor patterns vary across regions and countries and with time. In sub-Saharan Africa, the leading risk factors are child and maternal malnutrition, unsafe sex, and unsafe water, sanitation, and handwashing. In women, in nearly all countries in the Americas, north Africa, and the Middle East, and in many other high-income countries, high BMI is the leading risk factor, with high systolic blood pressure as the leading risk in most of Central and Eastern Europe and south and east Asia. For men, high systolic blood pressure or tobacco use are the leading risks in nearly all high-income countries, in north Africa and the Middle East, Europe, and Asia. For men and women, unsafe sex is the leading risk in a corridor from Kenya to South Africa. Interpretation Behavioural, environmental and occupational, and metabolic risks can explain half of global mortality and more than one-third of global DALYs providing many opportunities for prevention. Of the larger risks, the attributable burden of high BMI has increased in the past 23 years. In view of the prominence of behavioural risk factors, behavioural and social science research on interventions for these risks should be strengthened. Many prevention and primary care policy options are available now to act on key risks. Funding Bill & Melinda Gates Foundation. Background The Global Burden of Disease, Injuries, and Risk Factor study 2013 (GBD 2013) is the fi rst of a series of annual updates of the GBD. Risk factor quantifi cation, particularly of modifi able risk factors, can help to identify emerging threats to population health and opportunities for prevention. The GBD 2013 provides a timely opportunity to update the comparative risk assessment with new data for exposure, relative risks, and evidence on the appropriate counterfactual risk distribution. Methods Attributable deaths, years of life lost, years lived with disability, and disability-adjusted life-years (DALYs) have been estimated for 79 risks or clusters of risks using the GBD 2010 methods. Risk–outcome pairs meeting explicit evidence criteria were assessed for 188 countries for the period 1990–2013 by age and sex using three inputs: risk exposure, relative risks, and the theoretical minimum risk exposure level (TMREL). Risks are organised into a hierarchy with blocks of behavioural, environmental and occupational, and metabolic risks at the fi rst level of the hierarchy. The next level in the hierarchy includes nine clusters of related risks and two individual risks, with more detail provided at levels 3 and 4 of the hierarchy. Compared with GBD 2010, six new risk factors have been added: handwashing practices, occupational exposure to trichloroethylene, childhood wasting, childhood stunting, unsafe sex, and low glomerular fi ltration rate. For most risks, data for exposure were synthesised with a Bayesian metaregression method, DisMod-MR 2.0, or spatial-temporal Gaussian process regression. Relative risks were based on meta-regressions of published cohort and intervention studies. Attributable burden for clusters of risks and all risks combined took into account evidence on the mediation of some risks such as high body-mass index (BMI) through other risks such as high systolic blood pressure and high cholesterol. Findings All risks combined account for 57·2% (95% uncertainty interval [UI] 55·8–58·5) of deaths and 41·6% (40·1–43·0) of DALYs. Risks quantified account for 87·9% (86·5−89·3) of cardiovascular disease DALYs, ranging to a low of 0% for neonatal disorders and neglected tropical diseases and malaria. In terms of global DALYs in 2013, six risks or clusters of risks each caused more than 5% of DALYs: dietary risks accounting for 11·3 million deaths and 241·4 million DALYs, high systolic blood pressure for 10·4 million deaths and 208·1 million DALYs, child and maternal malnutrition for 1·7 million deaths and 176·9 million DALYs, tobacco smoke for 6·1 million deaths and 143·5 million DALYs, air pollution for 5·5 million deaths and 141·5 million DALYs, and high BMI for 4·4 million deaths and 134·0 million DALYs. Risk factor patterns vary across regions and countries and with time. In sub-Saharan Africa, the leading risk factors are child and maternal malnutrition, unsafe sex, and unsafe water, sanitation, and handwashing. In women, in nearly all countries in the Americas, north Africa, and the Middle East, and in many other high-income countries, high BMI is the leading risk factor, with high systolic blood pressure as the leading risk in most of Central and Eastern Europe and south and east Asia. For men, high systolic blood pressure or tobacco use are the leading risks in nearly all high-income countries, in north Africa and the Middle East, Europe, and Asia. For men and women, unsafe sex is the leading risk in a corridor from Kenya to South Africa. Interpretation Behavioural, environmental and occupational, and metabolic risks can explain half of global mortality and more than one-third of global DALYs providing many opportunities for prevention. Of the larger risks, the attributable burden of high BMI has increased in the past 23 years. In view of the prominence of behavioural risk factors, behavioural and social science research on interventions for these risks should be strengthened. Many prevention and primary care policy options are available now to act on key risks. Funding Bill & Melinda Gates Foundation.

This article reviews the biology, prevalence and risks for obesity in people and companion dogs and cats, and explores the links between obesity and diabetes mellitus and cancer across these species. Obesity is a major healthcare problem in both human and veterinary medicine and there is an increasing prevalence of obesity in people and pets. In people and animals, obesity is a complex disorder involving diet, level of physical activity, behavioural factors, socioeconomic factors, environment exposures, genetics, metabolism and the microbiome. Pets and people share a number of obesity-related comorbidities. Obesity is a major risk factor for type 2 diabetes mellitus in people and in cats, but this association is not recognized in dogs. Obesity is a recognized risk factor for a number of human cancers, but there are fewer data available describing this association with canine neoplastic disease. One approach to addressing the problem of obesity is by taking a 'One Health' perspective. Comparative clinical research examining shared lifestyle and environmental risk factors and the reasons underlying species differences should provide new perspectives on the fundamental biology of obesity. One Health programmes involving human healthcare professionals and veterinarians could help address obesity with simple interventions at the community level.

Clinical trials show lifestyle change programs are beneficial, yet large-scale, successful translation of these programs is scarce. We investigated the association between participation in the largest U.S. lifestyle change program, MOVE!, and diabetes control outcomes.This longitudinal, retrospective cohort study used Veterans Health Administration databases of patients with diabetes who participated in MOVE! between 2005 and 2012, or met eligibility criteria (BMI ≥25kg/mThere were 400,170 eligible patients with diabetes, including 87,366 (22%) MOVE!Included patients were 96% male, 77% white, with mean age 58years and BMI 34kg/mIf able to overcome participation challenges, lifestyle change programs in U.S. health systems may improve health among the growing patient population with diabetes.

This commentary describes the recent reversal of health gains in the United States due to increases in midlife mortality rates among many groups. The authors' solution is to equally emphasize resea...

Objective: To assess whether there are differences in the strength of association with incident stroke for specific periods of life in the Stroke Belt (SB). Methods: The risk of stroke was studied in 24,544 black and white stroke-free participants, aged 45+, in the Reasons for Geographic and Racial Differences in Stroke study, a national population-based cohort enrolled 2003–2007. Incident stroke was defined as first occurrence of stroke over an average 5.8 years of follow-up. Residential histories (city/state) were obtained by questionnaire. SB exposure was quantified by combinations of SB birthplace and current residence and proportion of years in SB during discrete age categories (0–12, 13–18, 19–30, 31–45, last 20 years) and entire life. Proportional hazards models were used to establish association of incident stroke with indices of exposure to SB, adjusted for demographic, socioeconomic (SES), and stroke risk factors. Results: In the demographic and SES models, risk of stroke was significantly associated with proportion of life in the SB and with all other exposure periods except birth, ages 31–45, and current residence. The strongest association was for the proportion of the entire life in SB. After adjustment for risk factors, the risk of stroke remained significantly associated only with proportion of residence in SB in adolescence (hazard ratio 1.17, 95% confidence interval 1.00–1.37). Conclusions: Childhood emerged as the most important period of vulnerability to SB residence as a predictor of future stroke. Improvement in childhood health circumstances should be considered as part of long-term health improvement strategies in the SB.

Purpose Given the high levels of obesity among U.S. children, we examine whether obesity in childhood is a passing phenomenon or remains entrenched into adolescence. Methods Data are from the prospective nationally representative Early Childhood Longitudinal Study, Kindergarten Class of 1998–1999 (analytic sample = 6600). Anthropometrics were measured six times during 1998–2007. Overweight and obesity were defined using CDC cut-points. Entrenched obesity was defined as obesity between ages 5–9 coupled with persistent obesity at ages 11 and 14. Results Almost 30% of children experienced obesity at some point between ages 5.6 and 14.1 years; 63% of children who ever had obesity between ages 5.6 and 9.1 and 72% of those who had obesity at kindergarten entry experienced entrenched obesity. Children with severe obesity in kindergarten or who had obesity at more than 1 year during early elementary were very likely to experience obesity through age 14, regardless of their sex, race, or socioeconomic backgrounds. Conclusions Prevention should focus on early childhood, as obesity at school entry is not often a passing phenomenon. Even one timepoint of obesity measured during the early elementary school years may be an indicator of risk for long-term obesity.

This study provides a foundation for understanding how globalization and changing food environments are linked to cultural models of food prestige in adolescents. We used methods from cognitive anthropology, including free lists, pile sorts, and consensus modeling, to explore the meanings that Indian adolescents attribute to foods. Adolescents (n = 29) were asked to free list foods eaten outside and inside the home. Different adolescents (n = 65) were asked to pile sort and rank 30 foods identified during the free lists according to which foods are the most prestigious, traditional, routine, and advertised on television. We found that adolescents overwhelmingly believed nontraditional foods to be the most prestigious. Nonlocal foods, both from foreign countries and other regions of India, as well as foods eaten outside the home, were also considered prestigious.

Introduction Lifestyle change programs implemented within healthcare systems could reach many Americans, but their impact on cardiovascular disease (CVD) remains unclear. The MOVE! program is the largest lifestyle change program implemented in a healthcare setting in the U.S. This study aimed to determine whether MOVE! participation was associated with reduced CVD incidence. Methods This retrospective cohort study, analyzed in 2013–2015, used national Veterans Health Administration databases to identify MOVE! participants and eligible non-participants for comparison (2005–2012). Patients eligible for MOVE!—obese or overweight with a weight-related health condition, and no baseline CVD—were examined (N=1,463,003). Of these, 169,248 (12%) were MOVE! participants. Patients were 92% male, 76% white, with mean age 52 years and BMI of 32. The main outcome was incidence of CVD (ICD-9 and procedure codes for coronary artery disease, cerebrovascular disease, peripheral vascular disease, and heart failure). Results Adjusting for age, race, sex, BMI, statin use, and baseline comorbidities, over a mean 4.9 years of follow-up, MOVE! participation was associated with lower incidence of total CVD (hazard ratio [HR]=0.83, 95% CI=0.80, 0.86); coronary artery disease (HR=0.81, 95% CI=0.77, 0.86); cerebrovascular disease (HR=0.87, 95% CI=0.82, 0.92); peripheral vascular disease (HR=0.89, 95% CI=0.83, 0.94); and heart failure (HR=0.78, 95% CI=0.74, 0.83). The association between MOVE! participation and CVD incidence remained significant when examined across categories of race/ethnicity, BMI, diabetes, hypertension, smoking status, and statin use. Conclusions Although participation was limited, MOVE! was associated with reduced CVD incidence in a nationwide healthcare setting.

Despite India's substantial investments in primary schooling, gaps in schooling persist across gender and caste—with scheduled caste and scheduled tribe (SC/ST) girls being particularly disadvantaged. The representation of SC/ST women in state legislatures may help to mitigate this disadvantage. Specifically, because of her intersecting gender and caste/tribe identities, a SC/ST woman legislator might maintain a strong sense of solidarity especially with SC/ST girls and women, and support legislative policies benefitting SC/ST girls. Consequently, for this reason, we expect that living in a district where SC/ST women represent in state legislatures in a higher proportion may increase SC/ST girls' primary school completion, progression and performance. We tested this hypothesis using district-level data between 2000 and 2004 from the Indian Election Commission, the 2004/5 India Human Development Survey, and the Indian Census of 2001. As expected, the representation of SC/ST women in state legislatures was positively associated with SC/ST girls' grade completion and age-appropriate grade progression but was apparent not SC/ST girls' primary-school performance. SC/ST women's representation in state legislatures may reduce gender-caste gaps in primary-school attainment in India.

Researchers and policymakers from diverse fields are engaged in efforts to understand the biological and social causes of obesity in order to develop policies, interventions, and recommendations to stop or reverse increases in obesity. One potentially promising approach is to harness influence from social contacts. An important foundation for this approach involves critically analyzing available data regarding whether and how body weight can be affected by close social contacts, especially friends. This systematic review examines evidence from published studies addressing the influences of friends on body weight. The majority of the sixteen studies conclude that there is evidence of influence: six reported that friends influence body weight and ten reported evidence of influence in some circumstances or specifications. However, this literature sheds little light on mechanisms of influence. There is limited evidence that friends’ communication about weight is associated with weight status and no compelling evidence that friends’ behaviors affect one’s weight. Many of the studies best designed to examine influence were the ones that did not explore mechanisms of influence. A priority for future research is to understand how, when, and how much friends affect the risk of obesity.

Background Sweetened beverages of low nutritional quality might be displacing more nutritious beverages, such as 100% fruit juice and milk, from children's diets. However, previous research has not examined changes in beverage intake over time using nationally representative longitudinal data. Objective Our objective was to examine changes in sweetened beverage, milk, and juice consumption between 5th and 8th grade. Design We used a longitudinal analysis of self-reported beverage consumption. Participants/setting Data were from the Early Childhood Longitudinal Survey–Kindergarten Cohort 1998-1999 (ECLS-K), a nationally representative study of children followed from kindergarten through 8th grade. This analysis used data from Spring 2004 and 2007, when most children were in 5th and 8th grade, respectively (n=7,445). Main outcome measures Main outcome measures were changes in consumption of sweetened beverages, milk, and 100% fruit juice last week. Statistical analyses performed Survey-adjusted linear regression was used to estimate longitudinal relationships between servings of milk, sweetened beverages, and 100% fruit juice, controlling for child and family characteristics and food consumption. Results Children's milk consumption decreased between 5th and 8th grade, and these decreases were larger among children who drank sweetened beverages daily. However, after controlling for demographic characteristics, changes in children's milk consumption were not significantly related to changes in their consumption of sweetened beverages over time (β=.005; P =0.81), while changes in milk consumption were positively related to changes in juice consumption (β=.087; P Conclusions Observed decreases in average milk consumption from 5th to 8th grade were not related to changes in sweetened-beverage consumption. They were positively related to changes in fruit juice consumption, so not indicating displacement. Caloric beverages generally tended to increase or decrease in tandem, so focus must be placed on their role in children's entire diet and on balancing them with food and total beverage intake.

This article provides an overview for pediatricians and other health care providers of the role of added sugars (caloric sweeteners) in the diets of US children and the recent evidence linking added sugar consumption to increased obesity and other chronic disease risk in children. The hypothesized biologic mechanisms for these associations are summarized, and evidence-based strategies are provided that may help children and their families to reduce their sugar consumption. Primary health care providers play an important role in assessing the added sugar intake of their patients and in providing nutrition and behavior change counselling to high-risk children and their families.

In response to the increase in children’s weight in recent decades, many states, school districts, and schools in the United States have limited or eliminated the sale of sweetened beverages at school. These policies are promoted for their potential to reduce childhood overweight and obesity, but their effectiveness has not been evaluated. Using a large nationally representative longitudinal dataset, the Early Childhood Longitudinal Study-Kindergarten (ECLS-K), this study explores the relationship between children’s access to sweetened beverages at school in 5th and 8th grade, their purchases and total consumption of these beverages, and their weight. We find almost no evidence that availability of sweetened beverages for sale at school leads to heavier weight or greater risk of overweight or obesity among children. We also find limited evidence that availability of sweetened beverages for sale at school leads to higher total consumption of these beverages.

OBJECTIVE With increasing life expectancy in the U.S., it is important to know whether a longer life expectancy means a longer healthy life span or a prolonged period of later-life morbidity. This study examines changes in lifetime without diabetes, a leading cause of morbidity in later life. RESEARCH DESIGN AND METHODS Using demographic methods and nationally representative data, we estimated changes in diabetes-free life expectancy between 1980–1989 and 2000–2004 for adult men and women in the U.S., estimated the contribution of changes in age-specific diabetes rates, and examined the changing effects of weight status on diabetes risks. RESULTS While life expectancy at age 18 for men and women increased between the 1980s and the 2000s, diabetes-free life expectancy at age 18 decreased by 1.7 years for men and 1.5 years for women. The proportion of 18-year-olds who would develop diabetes in their lifetimes increased by almost 50% among women and almost doubled among men. Obese individuals experienced the greatest losses in diabetes-free life expectancy during this period, estimated at 5.6 years for men and 2.5 years for women. CONCLUSIONS Diabetes-free life expectancy decreased for both men and women between 1980–1989 and 2000–2004, and these decreases are almost entirely attributable to large increases in diabetes incidence among obese individuals.

As the number of immigrants in the USA continues to rise, it becomes increasingly important to understand how their health differs from native-born individuals. Obesity is a public health concern and a component of health that may differ and change in important ways in immigrants. This research synthesizes the current literature on the relationship between immigrant duration of residence in the USA and body weight. Five databases from the health and social sciences were searched for all pertinent publications. Fifteen articles met inclusion criteria, 14 of which reported a significant, positive relationship between body mass index and duration of residence in the USA (all P-values

Purpose Health and administrative systems are facing spatial clustering in chronic diseases such as diabetes. This study explores how geographic distribution of diabetes in the United States is associated with socioeconomic and built environment characteristics and health-relevant policies. Methods We compiled nationally representative county-level data from multiple data sources. We standardized characteristics to a mean = 0 and a SD = 1 and modeled county-level age-adjusted diagnosed diabetes incidence in 2013 using 2-level hierarchical linear regression. Results Incidence of age-standardized diagnosed diabetes in 2013 varied across U.S. counties (n = 3109), ranging from 310 to 2190 new cases/100,000, with an average of 856.4/100,000. Socioeconomic and health-related characteristics explained ∼42% of the variation in diabetes incidence across counties. After accounting for other characteristics, counties with higher unemployment, higher poverty, and longer commutes had higher incidence rates than counties with lower levels. Counties with more exercise opportunities, access to healthy food, and primary care physicians had fewer diabetes cases. Conclusions Features of the socioeconomic and built environment were associated with diabetes incidence; identifying the salient modifiable features of counties can inform targeted policies to reduce diabetes incidence.

This systematic review synthesizes the literature on incidence of obesity during childhood.We searched PubMed, Excerpta Medica database (EMBASE), and Cumulative Index to Nursing and Allied Health Literature (CINAHL), and used the Web of Science tool in June 2015. Studies were included if they were published in English, presented results from primary or secondary analyses, used data about children in the US, provided obesity incidence data on children 0 to 18 years born after 1970, and did not pertain to clinically defined populations (disease, medication use, etc.). Author(s), study year, study design, location, sample size, age, and obesity incidence estimates were abstracted.Nineteen studies were included, three of which used nationally representative data. The median study-specific annual obesity incidences among studies using U.S. Centers for Disease Control and Prevention (CDC) growth charts were 4.0%, 3.2%, and 1.8% for preschool (2.0-4.9 years), school aged (5.0-12.9 years), and adolescence (13.0-18.0 years), respectively. This pattern of declining obesity incidence with age was consistent between and within studies.Studies of childhood obesity in the US indicate declining incidence with age. Childhood obesity prevention efforts should be targeted to ages before obesity onset. Longitudinal data and consistent obesity definitions that correlate with long-term morbidity are needed to better characterize the life history of obesity.