Longitudinal trajectories of BMI and cardiovascular disease risk: the national longitudinal study of adolescent health

The Prevalence of Hypertension Among Children and Antihypertensive Use: Protocol for a Systematic Review and Meta-Analysis

BACKGROUND

Early-onset hypertension (HT) presents compounded risks for cardiovascular, renal, and other systemic complications. Childhood HT is associated with HT during adulthood and detrimental lifelong cardiovascular disease events. However, most of the cases are not detectable as HT measurement in children is complicated and unstable. The global prevalence of HT among children is rapidly increasing. A previous study (2019) reported that the pooled global HT prevalence is 4.0% and the number is believed to be elevated. However, prevalence estimates of childhood HT have rarely been synthesized globally.

OBJECTIVE

This study aims to systematically pool all evidence from published articles and synthesize the evidence on the global prevalence of childhood HT and antihypertensive (anti-HT) use among children and its effects.

METHODS

This systematic review of observational and experimental studies will investigate the overall prevalence of HT and anti-HT use among children. We will search articles from 4 web-based databases: PubMed, Cochrane Central Register of Controlled Trials (CENTRAL), Embase, and Scopus using the specific keywords across the databases. During the article search conducted until October 2024, we retrieved 14,575 articles. Articles published in the English language with full text and are peer-reviewed journals included children aged between 0 and 18 years, confirmed with HT or high blood pressure (BP) on at least 3 separate occasions, and stated the definition of HT will be included in this protocol. Study selection and reporting will follow the PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) and the Meta-Analysis of Observational Studies in Epidemiology guidelines and Cochrane Risk of bias tool (ACROBAT) for experimental studies. Data will be extracted using a standardized data extraction form using Microsoft Excel software and the studies' quality will be assessed using the Joanna Briggs Institute's guideline according to the study design. We will use STATA software (version 17.0; StataCorp LLC) to calculate the global pooled prevalence and RevMan software (version 5.4; StataCorp LLC) to observe the effect of anti-HT use and BP among children. The risk of bias will be assessed using a funnel plot.

RESULTS

We retrieved 14,575 articles from 4 databases in October 2024. We will report the current global overall or pooled prevalence of HT as well as by region, risk factors, anti-HT use, and the anti-HT BP-lowering effect among the general children population. The findings will be presented in summary table findings and forest plot. This review is expected to be completed in the middle of 2025.

CONCLUSIONS

This review will provide a comprehensive synthesis of the overall prevalence of HT among children-a public health issue of growing concern with long-term impact. This review will also provide important information to inform practice in developing effective strategies for preventing and managing childhood HT.

TRIAL REGISTRATION

PROSPERO CRD42024500248; https://www.crd.york.ac.uk/PROSPERO/view/CRD42024500248.

INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID)

PRR1-10.2196/65807.

Shifting goalposts: widening discrepancies between girls' actual and ideal bodies predict disordered eating from preadolescence to adulthood

BACKGROUND

Little is known regarding how disordered eating (DE) relates to perceived actual body size, ideal body size, and their discrepancy. This study examined changes in perceived actual body size, ideal body size, and actual-ideal discrepancies over time, and their relationship with subsequent DE.

METHODS

Participants were 759 female twins from the Minnesota Twin Family Study who reported on body image and DE every three to five years between approximately ages 11 to 29. We used multilevel modeling to examine developmental trajectories of body mass index (BMI) and Body Rating Scale Actual, Ideal, and Actual-Ideal discrepancy scores and compared the degree to which BMI, BRS body size perceptions, and body dissatisfaction predicted DE behaviors and attitudes over time. Participants were treated as singletons in analyses.

RESULTS

Perceived Actual body sizes and BMIs increased from age 10 to 33, whereas Ideal body sizes remained largely stable across time, resulting in growing Actual-Ideal discrepancies. Body size perceptions and Actual-Ideal discrepancies predicted subsequent DE behaviors and attitudes more strongly than did body dissatisfaction as measured by self-report questionnaires.

CONCLUSIONS

This research advances understanding of how female body size perceptions and ideals change across development and highlights their relationship with subsequent DE.

Long-term body mass index trajectories and the risk of type 2 diabetes mellitus and atherosclerotic cardiovascular disease using healthcare data from UK Biobank participants

BACKGROUND AND AIMS

Most epidemiological studies ignore long-term burden, gain and variability in body weight in assessing cardiometabolic disease risk. We investigated the associations of body mass index (BMI) trajectories measured by general practitioners with incident type 2 diabetes (T2D) and coronary artery disease (CAD).

METHODS

We used electronic healthcare data from 111,615 European-ancestry participants from UK Biobank (57.1 (SD 7.8) years, 59.6 % women) with at least three BMI measurements (median trajectory period: 14.9 [interquartile range 9.5, 20.1] years). We calculated six variables capturing different long-term aspects, including i.e. burden (long-term average, area under the curve), gain (slope) and variability (standard deviation, average of the [absolute] consecutive BMI differences). The variables were used in principal component (PC) analyses and k-means clustering. Newly-derived dimensions and subgroups were used as exposures in cox-proportional hazard models.

RESULTS

The BMI-trajectory indices were captured in two PCs reflecting BMI burden and BMI gain. The BMI-burden PC associated with higher T2D (hazard ratio [95 % confidence interval] per SD higher PC: 1.57 [1.55,1.60]) and CAD (1.17 [1.15,1.19]) risks, while weak or no associations were observed with the BMI-gain PC (T2D: 1.03 [1.01,1.05]; CAD: 1.01 [0.98,1.03]). Participants with the highest BMI burden, compared to those with lowest BMI burden without significant gain, had highest T2D (6.96 [6.41,7.55]) and CAD (1.57 [1.45,1.69]) risks. Both methods to capture BMI burden, gain and variability showed superior model fit compared to a single baseline BMI assessment.

CONCLUSIONS

Long-term high BMI burden, irrespective of BMI gain, was a risk factor for cardiometabolic disease.

Individual and joint associations of obesity and metabolic health parameters on arterial stiffness: Evidence from the UK Biobank

AIMS

There is conflicting evidence regarding whether excess adiposity without metabolic abnormalities reflects a truly benign phenotype. This study evaluated the independent and joint associations of the presence of excess adiposity and metabolic abnormalities on arterial stiffness.

MATERIALS AND METHODS

Participants in UK Biobank with body mass index (BMI) and arterial stiffness index (ASI) recorded between 2006 and 2010, free from cardiovascular diseases and not underweight (BMI <18.5 kg/m2) were included. The primary outcome was severity of ASI analysed using multivariate-adjusted linear regression.

RESULTS

Of 162 590 participants, 42.5% were overweight and 24.4% were obese. Within the normal BMI strata, 50.7% had ≥1 metabolic abnormality. Compared to individuals with normal BMI and no metabolic abnormality (reference group), increased BMI or metabolic abnormalities were similarly associated with higher ASI: normal BMI with metabolic abnormalities (adjusted β-coefficient and 95% CI, 0.35; 0.30-0.40); overweight without metabolic abnormalities (0.32; 0.26-0.37). Individuals with obesity and no metabolic abnormality had higher ASI (0.65; 0.57-0.74) but was lower than individuals with overweight and metabolic abnormalities (0.80; 0.75-0.84). Individuals with obesity and metabolic abnormalities had the highest ASI (1.07; 1.02-1.12) among all six metabolic combinations, p < 0.001 for each versus reference group. Sensitivity analysis suggested higher ASI with increasing number of metabolic abnormalities within BMI categories and higher ASI in the presence of abdominal obesity within metabolic categories.

CONCLUSIONS

Excess adiposity and metabolic abnormalities are independently associated with increased arterial stiffness to a similar degree, suggesting that metabolically healthy individuals with overweight and obesity are not benign groups. This reinforces the need to prevent excess adiposity and consider primary prevention strategies even before metabolic abnormalities emerge.

A dyadic longitudinal analysis of parent-adolescent inflammation trends and the role of shared socioeconomic characteristics on family inflammation

The objective of the present study was to evaluate the interdependency of parent-adolescent inflammation trends across time and to examine whether shared family socioeconomic characteristics explained between-family differences in parents' and adolescents' risk for inflammation. A total of N = 348 families, consisting of one parent and one adolescent child, were followed every two years in a three-wave longitudinal study. Sociodemographic questionnaires were used to determine parental educational attainment and family income-to-needs ratio (INR). At each time point, parents and adolescents collected dried blood spot (DBS) samples that were assayed for circulating CRP and log-transformed prior to analysis by longitudinal dyadic models. Models revealed significant differences in parents' and adolescents' inflammation trends over time (bint = - 0.13, p < 0.001). While parental CRP levels remained relatively stable across the study period, adolescent CRP increased by approximately 38% between study waves. Parents' average CRP levels were positively correlated with adolescents' average CRP (r = 0.32, p < 0.001), but parental change in CRP over time was not significantly related to change in adolescents' CRP over time. Family dyads with higher parental educational attainment had lower average CRP (b = -0.08, p = 0.01), but parental education did not predict change in dyads' inflammation over time. Study findings suggest that shared family socioeconomic characteristics contribute to baseline similarities in parents' and adolescents' inflammation and potentially point to adolescence as a period of inflammatory change where youth may diverge from parental inflammation trends.

Longitudinal clustering of Life's Essential 8 health metrics: application of a novel unsupervised learning method in the CARDIA study

OBJECTIVE

Changes in cardiovascular health (CVH) during the life course are associated with future cardiovascular disease (CVD). Longitudinal clustering analysis using subgraph augmented non-negative matrix factorization (SANMF) could create phenotypic risk profiles of clustered CVH metrics.

MATERIALS AND METHODS

Life's Essential 8 (LE8) variables, demographics, and CVD events were queried over 15 ears in 5060 CARDIA participants with 18 years of subsequent follow-up. LE8 subgraphs were mined and a SANMF algorithm was applied to cluster frequently occurring subgraphs. K-fold cross-validation and diagnostics were performed to determine cluster assignment. Cox proportional hazard models were fit for future CV event risk and logistic regression was performed for cluster phenotyping.

RESULTS

The cohort (54.6% female, 48.7% White) produced 3 clusters of CVH metrics: Healthy & Late Obesity (HLO) (29.0%), Healthy & Intermediate Sleep (HIS) (43.2%), and Unhealthy (27.8%). HLO had 5 ideal LE8 metrics between ages 18 and 39 years, until BMI increased at 40. HIS had 7 ideal LE8 metrics, except sleep. Unhealthy had poor levels of sleep, smoking, and diet but ideal glucose. Race and employment were significantly different by cluster (P < .001) but not sex (P = .734). For 301 incident CV events, multivariable hazard ratios (HRs) for HIS and Unhealthy were 0.73 (0.53-1.00, P = .052) and 2.00 (1.50-2.68, P < .001), respectively versus HLO. A 15-year event survival was 97.0% (HIS), 96.3% (HLO), and 90.4% (Unhealthy, P < .001).

DISCUSSION AND CONCLUSION

SANMF of LE8 metrics identified 3 unique clusters of CVH behavior patterns. Clustering of longitudinal LE8 variables via SANMF is a robust tool for phenotypic risk assessment for future adverse cardiovascular events.

Rural-urban differentials in child body mass index over time

BACKGROUND

The body mass index is a simple index based on weight and height that can be used to screen children and adults for potential weight problems. The objective of this study was to investigate urban-rural variations in child BMI and its distribution from 2006 to 2016 in four low and middle-income countries.

METHODS

This study used data from the Young Lives prospective cohort study conducted in Ethiopia, India, Peru, and Vietnam to assess the BMI change for children aged 5 to 15 between 2006 and 2016. We adopted a mixed-effect model to analyze the data.

RESULTS

The study revealed substantial changes and rises in BMI in Vietnam, Peru, India, and Ethiopia between 2006 and 2016. Peru had the highest BMI changes in both urban-rural areas. A low BMI was observed in Ethiopia and India. Urban-rural differences had a significant role in determining BMI variation. In urban Ethiopia, the mean BMI increased from 14.56 kg/m2 to 17.52 kg/m2, and in rural areas, it increased from 14.57 kg/m2 to 16.67 kg/m2. Similarly, in urban Vietnam, the BMI increased from 16 kg/m2 to 20.3 kg/m2, and in rural areas, it increased from 14.69 kg/m2 to 18.93 kg/m2.

CONCLUSIONS

The findings showed an increase in BMI changes in Ethiopia, India, Peru, and Vietnam from 2006 to 2016. Urban-rural differences have a significant contribution to determining BMI variation.

Self-reported and measured anthropometric variables in association with cardiometabolic markers: A Danish cohort study

General obesity is a recognized risk factor for various metabolically related diseases, including hypertension, dyslipidemia, and pre-diabetes. In epidemiological studies, anthropometric variables such as height and weight are often self-reported. However, misreporting of self-reported data may bias estimates of associations between anthropometry and health outcomes. Further, few validation studies have compared self-reported and measured waist circumference (WC). This study aimed to quantify the agreement between self-reported and measured height, weight, body mass index (BMI), WC, and waist-to-height ratio (WHtR), and to investigate associations of these anthropometric measures with cardiometabolic biomarkers. A total of 39,514 participants aged above 18 years were included into the Diet, Cancer, and Health-Next Generation Cohort in 2015-19. Self-reported and measured anthropometric variables, blood pressure, and cardiometabolic biomarkers (HbA1c, lipid profiles, C-reactive protein and creatinine) were collected by standard procedures. Pearson correlations (r) and Lin's concordance correlations were applied to evaluate misreporting. Misreporting by age, sex and smoking status was investigated in linear regression models. Multivariable regression models and Receiver Operating Characteristic analyses assessed associations of self-reported and measured anthropometry with cardiometabolic biomarkers. Self-reported height was overreported by 1.07 cm, and weight was underreported by 0.32 kg on average. Self-reported BMI and WC were 0.42 kg/m2 and 0.2 cm lower than measured, respectively. Self-reported and measured height, weight, BMI, WC and WtHR were strongly correlated (r = 0.98, 0.99, 0.98, 0.88, 0.86, respectively). Age, sex, smoking, and BMI contributed to misreporting of all anthropometric measures. Associations between self-reported or measured anthropometric measures and cardiometabolic biomarkers were similar in direction and strength. Concordance between self-reported and measured anthropometric measures, including WC, was very high. Self-reported anthropometric measures were reliable when estimating associations with cardiometabolic biomarkers.

Metabolic Dysfunction-associated fatty liver disease and incident heart failure risk: the Kailuan cohort study

BACKGROUND

Recently, metabolic dysfunction-associated fatty liver disease (MAFLD) has been proposed to replace non-alcoholic fatty liver disease (NAFLD) to emphasize the pathogenic association between fatty liver disease and metabolic dysfunction. Studies have found that MAFLD independently increases the risk of myocardial infarction and stroke. But the relationship between MAFLD and heart failure (HF) is not fully understood.

OBJECTIVES

This study aimed to explore the association between MAFLD and the risk of HF.

METHODS

The study included 98,685 participants without HF selected from the Kailuan cohort in 2006. All participants were divided into non-MAFLD group and MAFLD group according to MAFLD diagnostic criteria. After follow-up until December 31, 2020, the Cox regression analysis model was used to calculate the effect of MAFLD on the risk of HF.

RESULTS

During the median follow-up of 14.01 years,3260 cases of HF were defined, the HF incidence density of non-MAFLD group and MAFLD group was 2.19/1000pys and 3.29/1000pys, respectively. Compared with the non-MAFLD group, participants with MAFLD had an increased risk of HF (HR: 1.40, 95% CI: 1.30-1.50); in addition, an exacerbation of fatty liver disease was associated with an increased risk of HF in people with MAFLD. We also observed a higher risk of HF among the different metabolic dysfunction of MAFLD in people with both fatty liver disease and type 2 diabetes (HR, 1.95; 95% CI, 1.73-2.20).

CONCLUSIONS

Our findings suggest that the risk of HF was significantly increased in participants with MAFLD, and an exacerbation of fatty liver disease was associated with an increased risk of HF in people with MAFLD. In addition, we should pay more attention to people with MAFLD with type 2 diabetes.

Subtyping Patients With Chronic Disease Using Longitudinal BMI Patterns

Obesity is a major health problem, increasing the risk of various major chronic diseases, such as diabetes, cancer, and stroke. While the role of obesity identified by cross-sectional BMI recordings has been heavily studied, the role of BMI trajectories is much less explored. In this study, we use a machine learning approach to subtype individuals' risk of developing 18 major chronic diseases by using their BMI trajectories extracted from a large and geographically diverse EHR dataset capturing the health status of around two million individuals for a period of six years. We define nine new interpretable and evidence-based variables based on the BMI trajectories to cluster the patients into subgroups using the k-means clustering method. We thoroughly review each cluster's characteristics in terms of demographic, socioeconomic, and physiological measurement variables to specify the distinct properties of the patients in the clusters. In our experiments, the direct relationship of obesity with diabetes, hypertension, Alzheimer's, and dementia has been re-established and distinct clusters with specific characteristics for several of the chronic diseases have been found to be conforming or complementary to the existing body of knowledge.

Relationship between Body Mass Index and Health and Occupational Performance among Law Enforcement Officers, Firefighters, and Military Personnel: A Systematic Review

The prevalence of overweight and obesity among tactical populations is estimated at 70%-75%, which may negatively impact health and performance. The relationship between BMI and health and performance is well established among the general population, however, literature on such relationships among tactical populations has yet to be reviewed and evaluated. The purpose of this study was to systematically review available literature on the relationship between BMI and health and occupational performance among law enforcement officer, firefighters, and military personnel. After reviewing the literature, 27 articles were included. Nine studies found BMI was positively associated with cardiovascular disease (CVD) risk factors. Studies involving BMI and cancer were lacking. One study found BMI was positively associated with type 2 diabetes (T2DM) risk. Five studies on occupational/physical performance and 12 studies on injury found a higher BMI was often indicative of decreased performance and increased risk of injury in general, but protective against stress fractures. Overall, higher BMI was often associated with negative health and performance outcomes among tactical populations, especially when beyond the overweight classification. Public health practitioners should focus efforts on improving nutrition and physical activity to promote a healthy BMI among these individuals.

Association between genetic risk score and tri-ponderal mass index growth trajectories among different dietary consumption adolescents in a prospective Taiwanese cohort

BACKGROUND

Single-nucleotide polymorphisms (SNPs) in various genetic loci are associated with childhood obesity; however, their influence on adolescent growth patterns has rarely been explored. This study investigated whether genetic variants could predict tri-ponderal mass index (TMI)-derived growth trajectories and the interaction between genetic and dietary factors.

METHODS

We conducted Taiwan Puberty Longitudinal Study, a prospective cohort that recruited 1,135 children since 2018. Anthropometric measurements were recorded every three months, while dietary nutrition assessment and biological sampling for genotyping were collected during the first visit. TMI growth trajectory groups were identified using growth mixture modeling. A multinomial logistic regression model for different growth trajectories was used to examine the effect of candidate SNPs, and the most related SNPs were used to establish the genetic risk score. We then explored the effect of the genetic risk score in subgroup analysis according to dietary calories and different dietary consumption patterns.

RESULTS

Three TMI-based growth trajectory groups were identified among adolescents. The "increased weight" trajectory group accounted for approximately 9.7% of the participants. FTO/rs7206790 was associated with the increased weight growth trajectory after adjusting for the baseline TMI and other correlated covariates (OR: 2.13, 95% CI: 1.08-4.21). We generated the genetic risk score using 4 SNPs (FTO/rs7206790, ADCY9/rs2531995, TFAP2B/rs4715210, and TMEM18/rs6548238) and selected the threshold of 10 points to define risk categories. There were 11.66% and 3.24% of participants belonged to the increased weight trajectory in high- and low-risk groups, respectively; and the predictive ability of the genetic risk score was notable among low calories intake participants (OR: 1.90, 95% CI: 1.18-3.05 vs. OR: 1.17, 95% CI: 0.78-1.75 in high calories intake group).

CONCLUSION

Our results offer a new perspective on the genetic and dietary basis of changes in adolescent obesity status. Individualized interventions for obesity prevention may be considered among high-risk children.

Evaluating a motivational and psycho-educational self-help intervention for athletes with mild eating disorder symptoms: A mixed methods feasibility study

OBJECTIVE

The primary aim was to assess the feasibility of undertaking a study evaluating the novel Motivational and Psycho-Educational Self-Help Programme for Athletes with Mild Eating Disorder Symptoms (MOPED-A). A mixed-methods approach was adopted to explore the feasibility of recruiting and retaining participants, and to evaluate the acceptability of measures, procedures and the intervention. A secondary aim was to explore the potential efficacy of MOPED-A in reducing athletes' eating disorder symptoms.

METHOD

Thirty-five athletes were recruited. Participation involved completing MOPED-A over a 6-week period and completing self-report measures at baseline (T1), post-intervention (T2) and 4-week follow-up (T3). A subsample (n = 15) completed an interview at T2.

RESULTS

Retention was good throughout the study (n = 28; 80%). Quantitative and qualitative feedback suggested the format, delivery, content and dosage of MOPED-A were acceptable. Athletes valued that the intervention was tailored to them, and this facilitated both participation and completion. Over a third of participants reported disclosing their eating difficulties and deciding to seek further support. Large reductions in eating disorder symptoms were detected at T2 and sustained at T3.

CONCLUSIONS

The MOPED-A intervention can be feasibly implemented, is acceptable to participants, and demonstrates potential for reducing symptoms in athletes. A larger, controlled trial is warranted.

Increased Physical Activity at School Benefits Arterial Blood Pressure in Children-A Prospective Follow-Up Cohort Study

(1) Background: A sedentary lifestyle and low physical activity (PA) increase the risk of hypertension in children. The aim of this study was to assess the impact of increased PA at school by elevation of the number of compulsory physical education (PE) lessons on arterial blood pressure in children during a two-year follow-up. (2) Methods: Children (n = 245) born in 2007 attending a standard or elevated number of PE lessons in the school timetable (4 and 10 h a week, respectively) took part in the study. Blood pressure was measured starting from age approx. 10 to 12. (3) Results: Starting from a similar level, after 2 years, the percentage of children with normal blood pressure decreased in the standard-PE children from 83.25% to 78.03% but increased in the elevated-PE ones from 83.15% to 86.13%. The prevalence of both prehypertension and hypertension increased by one-third in the standard-PE children from 16.74% to 21.97% but decreased by one-sixth in the elevated-PE ones from 16.85% to 13.87%. The prevalence of hypertension itself increased by one-third in the standard-PE children from 9.82% to 13.12% but decreased in the elevated-PE ones by one-fifth from 9.60% to 7.75% (4) Conclusions: An increase in PA at school by the elevation of the number of PE lessons benefits children's arterial blood pressure. Early prevention of hypertension in children can be supported by an adequate number of PE lessons in the school timetable.

Exploration of an alternative to body mass index to characterize the relationship between height and weight for prediction of metabolic phenotypes and cardiovascular outcomes

OBJECTIVE

Body mass index (BMI) is the most commonly used predictor of weight-related comorbidities and outcomes. However, the presumed relationship between height and weight intrinsic to BMI may introduce bias with respect to prediction of clinical outcomes. A series of analyses comparing the performance of models representing weight and height as separate interacting variables to models using BMI were performed using Vanderbilt University Medical Center's deidentified electronic health records and landmark methodology.

METHODS

Use of BMI or height-weight interaction in prediction models for established weight-related cardiometabolic traits and metabolic syndrome was evaluated. Specifically, prediction models for hypertension, diabetes mellitus, low high-density lipoprotein, and elevated triglycerides, atrial fibrillation, coronary artery disease, heart failure, and peripheral artery disease were developed. Model performance was evaluated using likelihood ratio, R 2, and Somers' Dxy rank correlation. Differences in model predictions were visualized using heat maps.

RESULTS

Compared to BMI, the maximally flexible height-weight interaction model demonstrated improved prediction, higher likelihood ratio, R 2, and Somers' Dxy rank correlation, for event-free probability for all outcomes. The degree of improvement to the prediction model differed based on the outcome and across the height and weight range.

CONCLUSIONS

Because alternative measures of body composition such as waist-to-hip ratio are not routinely collected in the clinic clinical risk models quantifying risk based on height and weight measurements alone are essential to improve practice. Compared to BMI, modeling height and weight as independent, interacting variables results in less bias and improved predictive accuracy for all tested traits. Considering an individual's height and weight opposed to BMI is a better method for quantifying individual disease risk.

Exploring Overweight Risk Trajectories During Childhood and Their Associations With Elevated Blood Pressure at Late Adolescence: a Retrospective Cohort Study

BACKGROUND

Overweight during childhood is significantly associated with higher risk of high blood pressure (HBP) in later life. However, recognition of critical intervention period is limited. We aimed to analyze the changes in overweight risk during school-age and its relationship with HBP.

METHODS

Seventeen thousand eight hundred sixteen school-aged children (53.9% boys) with a mean follow-up time of 8.2 years were involved. Children's overweight was defined as body mass index Z score ≥1 and was fitted with a group-based trajectory model. The 4 trajectories were labeled as constant low, high decreasing, low rising, and constant high according to the change of overweight risk during follow-up. Population-averaged logit model and log-binomial regression models were used to analyze HBP risk. Cox proportional hazard model was used to analyze the HBP incidence among distinct groups.

RESULTS

Children with higher overweight risk generally had higher HBP risk during follow-up. However, the HBP risk in low rising group was low at baseline and increased to 3.14 (95% CI, 2.54-3.88; P<0.001) for boys and 3.23 (95% CI, 2.08-5.01; P=0.004) for girls at end point, which were comparable to the relative risk in the constant high group (4.60 [95% CI, 4.02-5.27] for boys and 5.28 [95% CI, 3.94-7.07] for girls).

CONCLUSIONS

Findings of this study provide insights on patterns of overweight risks during childhood. Children with transition from normal to overweight during teen years would be high-risk in HBP incidence.

The association between trajectories of risk factors and risk of cardiovascular disease or mortality among patients with diabetes or hypertension: A systematic review

Introduction

Cardiometabolic risk factors and renal function are monitored regularly for patients with diabetes mellitus (DM)/ hypertension (HT). In addition to risk factor levels at a single time point, their trajectory (changes over time) can also be differentially related to the risk of cardiovascular diseases (CVD) and mortality. This study aimed to systematically examine the evidence regarding the association between risk factor trajectories and risk of CVD/mortality in patients with DM/HT.

Method

PubMed, MEDLINE, and Embase were searched for articles from January 1963 to April 2021. Inclusion criteria: studies that 1) analyzed trajectories of risk factors including haemoglobin A1c (HbA1c), blood pressure, estimated glomerular filtration rate (eGFR), body mass index (BMI), and blood lipids; 2) were performed in the DM/HT population and, 3) included risk of CVD/mortality as outcomes. Study quality was assessed using the Newcastle-Ottawa quality assessment scale.

Results

A total of 22,099 articles were identified. After screening by title and abstract, 22,027 articles were excluded by irrelevant outcomes, exposure, population, or type of articles. Following full-text screening, 11 articles investigating the trajectories of HbA1c (N = 7), systolic blood pressure (SBP) (N = 3), and eGFR (N = 1) were included for data extraction and analysis. No studies were identified examining the association of BMI or lipid trajectories with CVD/mortality. All included studies were of good quality based on the NOS criteria. In general, stable trajectories within optimal ranges of the risk factors (HbA1c: <7%, SBP: 120-139mmHg, eGFR: >60mL/min/1.73m²) had the lowest CVD/mortality risk compared to an increasing HbA1c trajectory (from 8% to 10%), an increasing SBP trajectory (from 120–139 to ≥140mmHg), or a decreasing eGFR trajectory (from 90 to 70mL/min/1.73m²).

Conclusion

A relatively stable and well-controlled trajectory for cardiometabolic risk factors was associated with the lowest risk of CVD/mortality. Risk factor trajectories have important clinical implications in addition to single time point measurements. More attention should be given to patients with suboptimal control and those with unstable trends of cardiometabolic risk factors.

Developmental trajectories of body mass index since childhood and health-related quality of life in young adulthood: Tehran Lipid and Glucose Study

PURPOSE

The association between long-term BMI changes since childhood and health-related quality of life (HRQoL) in adulthood is still unclear. This study aimed to examine the association between identified BMI trajectories and HRQoL.

METHODS

A population-based cohort of 1938 eligible children (3-18 years) and their parents have been repeatedly followed up for 18 years. Offspring BMI trajectories were identified using group-based trajectory models. HRQoL was evaluated in offspring aged 21-36 years using SF-12V2. Using quantile regression analysis, the associations of the identified BMI trajectories and HRQoL in young adulthood were examined.

RESULTS

In males, persistent increasing overweight/obese group was negatively associated with 30th, 40th, 50th, and 60th percentiles of physical component summary (PCS) score distribution (β = - 2.60, p = 0.006; β = - 2.01, p = 0.005; β = - 1.86, p = 0.001; β = - 1.98, p = 0.009, respectively). A similar result was observed only in the 40th percentile of PCS distribution for the progressive overweight group (β = - 1.03, p = 0.022). In addition, the progressive overweight group in males showed a positive association with the upper tail of mental component summary (MCS) score distribution specifically for the 90th percentile (β = 1.15, p = 0.036). Regarding females, the current results indicated that the 90th percentile of MCS distributions was decreased in the persistent increasing overweight/obese group for females (β = - 1.83, p = 0.024). In addition, the progressive overweight group in females had a positive association with lower (30th and 40th) percentiles of PCS distribution (β = 1.29, p = 0.034, and β = 1.15, p = 0.030, respectively).

CONCLUSION

A sex-specific conditional association between developmental BMI trajectories from childhood and HRQoL in young adulthood was observed in physical and mental HRQoL.

Adolescent Tri-ponderal Mass Index Growth Trajectories and Incident Diabetes Mellitus in Early Adulthood

PURPOSE

Studies have reported the influence of adolescent obesity on development of adult diabetes, but the effect of the growth pattern during this period has rarely been explored. Also, the tri-ponderal mass index (TMI) was thought to be a better estimation of adolescent body fat levels than the body mass index (BMI), so we sought to investigate whether growth trajectories derived by these two indices could predict incident diabetes.

METHODS

We conducted a study by using the Taipei City Hospital Radiation Building Database, a longitudinal cohort established in 1996. Physical exam results including blood test results were collected annually and the BMI z-score/TMI growth trajectory groups during 13 to 18 years of age were identified using growth mixture modeling. A Cox proportional hazard model for incident diabetes was used to examine the risk of baseline obese status and different BMI/TMI growth trajectories.

RESULTS

Five growth trajectory groups were identified for the BMI z-score and the TMI. During approximately 20 400 person-years follow-up, 33 of 1387 participants developed diabetes. Baseline obesity defined by the BMI z-score and the TMI were both related to adult diabetes. The persistent increase TMI growth trajectory exhibited a significantly increased risk of diabetes after adjusting for baseline obese status and other correlated covariates (hazard ratio: 2.85, 95% confidence interval: 1.01-8.09). There was no association between BMI growth trajectory groups and incident diabetes.

CONCLUSIONS

A specific TMI growth trajectory pattern during adolescence might be critical for diabetes prevention efforts.

Long-term body mass trajectories and hypertension by sex among Chinese adults: a 24-year open cohort study

Evidence was limited on trajectory of body mass index (BMI) through adulthood and its association with hypertension. We aimed to evaluate their association by sex in large-scale study. Data were obtained from the China Health and Nutrition Survey (CHNS) from 1991 to 2015. Latent class trajectory analysis (LCTA) was used to capture BMI change trajectories. Hazard risks (HRs) were estimated from Cox proportion hazard regression. Among 14,262 participants (mean age, 38.8; 47.8% men), 5138 hypertension occurred (2687 men and 2451 women) occurred during a mean follow-up 9.6 years. Four body mass trajectory groups were identified as BMI loss, stable, moderate and substantial gain. Appropriately half of participants (48.0%) followed 1 of the 2 BMI gain trajectories, where BMI increased at least 3 kg/m2 overtime. Compared with participants with stable BMI, those gaining BMI substantially had higher risk of hypertension by 65% (HR 1.65, 95% CI 1.45-1.86) in male and 83% (HR 1.83, 95% CI 1.58-2.12) in female. The HRs in BMI loss patterns were 0.74 (0.62-0.89) in men and 0.87 (0.75-1.00) in women. Our findings imply that majority of Chinese adults transited up to a higher BMI level during follow-up. Avoiding excessive weight gain and maintaining stable weight might be important for hypertension prevention.

Health status among NEET adolescents and young adults in the United States, 2016-2018

Adolescents and young adults not employed or in education/training (NEET) could be at higher risk of adverse health outcomes. Approximately 4.6 million Americans aged between 16 and 24 fall in this group. However, differences in health between NEET and non-NEET population remain unaddressed. This study examines the association of NEET status and poor/fair self-reported health status (SRH), among adolescents and young adults in the United States. Data for this study come from the 2016-2018 National Survey on Drug Use and Health (NSDUH). Our analytical sample consisted of 53,690 respondents. We used logistic regression models to investigate the association between NEET and health status in the United States, while controlling for potential covariates. Approximately 14% of our analytical sample was classified as NEET. NEET report poor/fair health status at higher rates than their counterparts who remained in school and/or had a job (11.30% vs. 5.62%). The NEET population was older, had a higher proportion of non-Hispanic Blacks, engaged in more smoking but in less alcohol drinking than non-NEET. In our initial model, NEET were more likely report poor/fair SRH than their non-NEET counterparts (OR = 2.14; p < 0.001). This difference remains strong when demographic and socioeconomic characteristics are accounted for in our empirical models (OR = 1.93, p < 0.001). In our fully specified model, which accounts for health behaviors, NEET continue to have higher odds of reporting poor/fair SRH (OR = 1.77, p < 0.001). Our analyses suggest that NEET populations report worse health than non-NEETs. The health of this population may improve if interventions to reinsert them into either education or employment are effectively deployed.

Multimodal brain predictors of current weight and weight gain in children enrolled in the ABCD study ®

Multimodal neuroimaging assessments were utilized to identify generalizable brain correlates of current body mass index (BMI) and predictors of pathological weight gain (i.e., beyond normative development) one year later. Multimodal data from children enrolled in the Adolescent Brain Cognitive Development Study® at 9-to-10-years-old, consisted of structural magnetic resonance imaging (MRI), diffusion tensor imaging (DTI), resting state (rs), and three task-based functional (f) MRI scans assessing reward processing, inhibitory control, and working memory. Cross-validated elastic-net regression revealed widespread structural associations with BMI (e.g., cortical thickness, surface area, subcortical volume, and DTI), which explained 35% of the variance in the training set and generalized well to the test set (R2 = 0.27). Widespread rsfMRI inter- and intra-network correlations were related to BMI (R2train = 0.21; R2test = 0.14), as were regional activations on the working memory task (R2train = 0.20; (R2test = 0.16). However, reward and inhibitory control tasks were unrelated to BMI. Further, pathological weight gain was predicted by structural features (Area Under the Curve (AUC)train = 0.83; AUCtest = 0.83, p < 0.001), but not by fMRI nor rsfMRI. These results establish generalizable brain correlates of current weight and future pathological weight gain. These results also suggest that sMRI may have particular value for identifying children at risk for pathological weight gain.

Weight change from childhood to adulthood and cardiovascular risk factors and outcomes in adulthood: A systematic review of the literature

The magnitude of the associations between life-course change in weight status and health outcomes in adulthood has been inconsistent. This study aims to examine the associations between weight change from childhood to adulthood and cardiovascular disease (CVD) risk factors and outcomes in adulthood. PubMed, Embase and ISI Web of Science between 1 August 1953 and 13 July 2020 were searched, and a total of 52 eligible articles were included. The systematic review supported significant associations between the life-course increase in BMI and high odds of markers in adulthood. In the meta-analyses, normal weight in childhood but excess weight in adulthood or persistent excess weight was associated with increased odds of adult markers. However, those who had excess weight in childhood but were normal weight in adulthood did not have increased odds of nearly all adult markers. This systematic review and meta-analysis suggest that individuals who developed excess weight in adulthood or had excess weight in both periods had higher odds of developing CVD risk factors and outcomes in adulthood. In contrast, the probability of these adult markers could be limited or eliminated for children with excess weight who are able to become adults with normal weight.

Antihypertensive medication adherence and cardiovascular disease risk: A longitudinal cohort study

BACKGROUND AND AIMS

Few studies estimated the impact of antihypertensive adherence on cardiovascular diseases (CVD) in a longitudinal cohort with presence of time-dependent confounders. This study aims to assess the association between antihypertensive adherence and CVD using marginal structural Cox model (MSM-Cox) and to characterize blood pressure (BP) trajectories of patients with different adherence.

METHODS

This longitudinal study included 16,896 hypertensive patients receiving antihypertensive medication. The median follow-up time was 3.5 years (25th to 75th, 1.75-4.75 years). BP and medication adherence were measured four times every year. We used MSM-Cox and Cox model to assess association between antihypertensive adherence and CVD events. The linear mixed-effects model was used to characterize BP trajectories of patients with different adherence, and the area under curves (AUC) was calculated as BP burden.

RESULTS

We documented 4735 CVD events, crude incidence of CVD was 80.8 (95% CI, 78.1-83.4) and 112.6 (95% CI, 107.2-118.0) per 1000 person-years for baseline high-adherence and low-adherence, respectively. Compared with high adherence, the adjusted hazard ratio (HR) for association between low adherence with CVD was 1.75 (95%CI, 1.62-1.89) and 1.34 (95%CI, 1.26-1.42) based on the MSM-Cox and the Cox model, respectively. The BP burden and fluctuation range of BP trajectory in low-adherence patients were larger than those of high-adherence patients. Patients with high adherence got 28% greater reduction of BP burden than low-adherence patients.

CONCLUSIONS

Antihypertensive adherence was more strongly associated with the risk of CVD than conventional regression analyses based on a single adherence measurement.

Water Dynamics in Unilateral Biportal Endoscopic Spine Surgery and Its Related Factors: An In Vivo Proportional Regression and Proficiency-Matched Study

BACKGROUND

Stable water dynamics during endoscopic spine surgery improves the surgeon's comfort and patient's outcomes. We aimed to measure the water dynamics during spinal surgery and identify the factors that facilitate stable water dynamics.

METHODS

This open-label, prospective, proficiency-matched, in vivo study included patients with single-level degenerative spinal disease. After assessing their heights and balancing the matched instrument, we measured the irrigation fluid pressure in various situations. We performed multiple regression analysis based on odds ratio (OR), confidence interval (CI), and relationships (proficiency-matched) with possible instrumental and physical characteristics. The instrumental factors were the presence and length of a rigid cannulation, and the physical characteristics were body mass index (body mass index [BMI]), skin-to-dura depth, height (interaction with BMI), and body weight (interaction with BMI).

RESULTS

Of the 36 patients, 29 were included. The mean pressure of the operation cavity was 16.66 ± 9.12 cm H₂O (12.25 ± 6.71 mm Hg). Water pressure with the rigid cannulation (9.41 ± 2.94 cm H₂O [6.92 ± 2.16 mm Hg]) was significantly lower than that without cannulation (23.43 ± 7.57 cm H₂O [17.26 ± 5.57 mm Hg], P < 0.01). Water pressure correlated with cannular length (OR = -1.08, CI = -1.79, -0.37, P < 0.01) and BMI (OR = 0.56, CI = 0.12, 0.99, P < 0.01). BMI showed a proportional relationship (r = 0.84, P < 0.01).

CONCLUSIONS

During biportal endoscopy, we suggest maintaining water pressure between 4.41 cm H₂O (2.41 mm Hg) and 31.00 cm H₂O (22.83 mm Hg). Compared to physical characteristics, placement of the cannula and appropriate cannula length are important factors that affect water dynamics.

Health Consequences of an Elite Sporting Career: Long-Term Detriment or Long-Term Gain? A Meta-Analysis of 165,000 Former Athletes

INTRODUCTION

Exercise is widely accepted to improve health, reducing the risk of premature mortality, cardiovascular disease (CVD) and cancer. However, several epidemiological studies suggest that the exercise-longevity relationship may be 'J' shaped; with elite athlete's likely training above these intensity and volume thresholds. Therefore, the aim of this meta-analysis was to examine this relationship in former elite athletes.

METHODS

38,047 English language articles were retrieved from Web of Science, PubMed and SportDiscus databases published after 1970, of which 44 and 24 were included in the systematic review and meta-analysis, respectively. Athletes were split into three groups depending on primary sport: Endurance (END), Mixed/Team, or power (POW). Standard mortality ratio's (SMR) and standard proportionate mortality ratio (SPMR) were obtained, or calculated, and combined for the meta-analysis.

RESULTS

Athletes lived significantly longer than the general population (male SMR 0.69 [95% CI 0.61-0.78]; female SMR 0.51 [95% CI 0.40-0.65]; both p < 0.01). There was no survival benefit for male POW athletes compared to the general population (SMR 1.04 [95% CI 0.91-1.12]). Although male athlete's CVD (SMR 0.73 [95% CI 0.62-0.85]) and cancer mortality (SMR 0.75 [95% CI 0.63-0.89]), were significantly reduced compared to the general population, there was no risk-reduction for POW athletes CVD mortality (SMR 1.10 [0.86-1.40]) or END athletes cancer mortality (SMR 0.73 [0.50-1.07]). There was insufficient data to calculate female sport-specific SMR's.

DISCUSSION

Overall, athletes live longer and have a reduced incidence of both CVD and cancer mortality compared to the general population, refuting the 'J' shape hypothesis. However, different health risks may be apparent according to sports classification, and between sexes, warranting further investigation. Trial registration PROSPERO (registration number: CRD42019130688).

Association of antecedent cardiovascular risk factor levels and trajectories with cardiovascular magnetic resonance-derived cardiac function and structure

BACKGROUND

The association of longitudinal trajectories of cardiovascular risk factors with cardiovascular magnetic resonance (CMR)-measures of cardiac structure and function in the community is not well known. Therefore we aimed to relate risk factor levels from different examination cycles to CMR-measures of the left ventricle (LV) and right ventricle in a population-based cohort.

METHODS

We assessed conventional cardiovascular disease risk factors in 349 participants (143 women; aged 25-59 years) at three examination cycles (Exam 1 [baseline], at Exam 2 [7-years follow-up] and at Exam 3 [14-years follow-up]) of the KORA S4 cohort and related single-point measurements of individual risk factors and longitudinal trajectories of these risk factors to various CMR-measures obtained at Exam 3.

RESULTS

High levels of diastolic blood pressure, waist circumference, and LDL-cholesterol at the individual exams were associated with worse cardiac function and structure. Trajectory clusters representing higher levels of the individual risk factors were associated with worse cardiac function and structure compared to low risk trajectory clusters of individual risk factors. Multivariable (combining different risk factors) trajectory clusters were associated with different cardiac parameters in a graded fashion (e.g. decrease of LV stroke volume for middle risk cluster β = - 4.91 ml/m2, 95% CI - 7.89; - 1.94, p < 0.01 and high risk cluster β = - 7.00 ml/m2, 95% CI - 10.73; - 3.28, p < 0.001 compared to the low risk cluster). The multivariable longitudinal trajectory clusters added significantly to explain variation in CMR traits beyond the multivariable risk profile obtained at Exam 3.

CONCLUSIONS

Cardiovascular disease risk factor levels, measured over a time period of 14 years, were associated with CMR-derived measures of cardiac structure and function. Longitudinal multivariable trajectory clusters explained a greater proportion of the inter-individual variation in cardiac traits than multiple risk factor assessed contemporaneous with the CMR exam.

Body Mass Index Trajectory and Incident Hypertension: Results From a Longitudinal Cohort of Chinese Children and Adolescents, 2006-2016

Objectives. To identify body mass index (BMI) trajectories in Chinese children and to compare the risk of incident high blood pressure (HBP) across trajectory groups.Methods. A total of 9286 children were included. The mean age at baseline was 8.9 years; age at endpoint ranged between 16 and 18 years. At least 8 measurements were obtained from each involved child. We used group-based trajectory modeling to identify BMI trajectory groups in each sex. We used blood pressure from each measurement to define HBP.Results. We identified 4 BMI trajectories for each sex. Compared with the low trajectory group, the hazard ratios of HBP in the higher trajectory groups ranged from 1.17 (95% confidence interval [CI] = 1.11, 1.23) to 2.00 (95% CI = 1.78, 2.27) during follow-up, and HBP risk at late adolescence ranged from 1.36 (95% CI = 1.22, 1.52) to 3.63 (95% CI = 3.12, 4.21). All trend P values across trajectories were less than .001. In terms of population level, overweight started 3 years earlier than HBP.Conclusions. Children of higher BMI trajectories had a higher risk of HBP during adolescence. The transition period from overweight to HBP onset could be critical for HBP prevention.

Prevalence of hypertension among adolescents (10-19 years) in India: A systematic review and meta-analysis of cross-sectional studies

BACKGROUND

Despite the well-known short-term and long-term ill effects of elevated blood pressure in children and adolescents, pooled data on its burden among Indian adolescents have not yet been synthesized.

OBJECTIVES

We did a systematic review with meta-analysis to calculate the pooled prevalence of hypertension among adolescents (10-19 years) in India.

METHODS

We searched PubMed, Embase, Cochrane library, Google Scholar and IndMed, and included cross-sectional studies reporting data on hypertension prevalence among 10 to19 years old and published in English language from their inception till 1st March 2020. Modified New castle Ottawa scale was used to assess risk of bias based on research design, recruitment strategy, response rate and reliability of outcome determination. A random effects model was used to estimate pooled prevalence, and heterogeneity was assessed using Cochrane's Q statistic test of heterogeneity and I2 statistic. To explore the heterogeneity, we did a meta-regression, and sub-group analyses based on region, study setting and number of blood pressure readings.

RESULTS

Out of 25 studies (pooled sample of 27,682 participants) six studies were of high, eighteen of moderate, and one was of low quality. The prevalence of hypertension across studies ranged from 2% to 20.5%, with a pooled estimate of 7.6% (95% CI: 6.1 to 9.1%), I2 = 96.6% (p-value <0.001). Sub-group analysis restricted only to the western India demonstrated a smaller heterogeneity (I2 = 18.3%). In univariate model of meta-regression, diagnostic criteria was significantly associated with pooled prevalence (-4.33, 95%CI: -7.532, -1.134).

CONCLUSION

The pooled prevalence of hypertension among adolescent in India is 7.6% with substantial heterogeneity between the studies. To tackle the high prevalence of hypertension among adolescents, early detection by screening under school health programme and opportunistic screening at Paediatric OPD should be implemented by Policy makers.

An uncontrolled pilot feasibility trial of an intuitive eating intervention for college women with disordered eating delivered through group and guided self-help modalities

OBJECTIVE

College women engage in high rates of disordered eating behaviors (DEBs), and most do not receive treatment. Campuses lack resources to meet this need, thus accessible and affordable treatment options are important. Intuitive eating (IE) is gaining mainstream interest, but intervention research is scarce, with no known clinical trials in college women. This uncontrolled pilot trial examined the feasibility, acceptability, and preliminary efficacy of an eight-week IE intervention delivered through two potentially accessible and affordable modalities: group and guided self-help (GSH).

METHOD

Racially and ethnically diverse college women (N = 71; <50% White) were recruited from a large public Mid-Atlantic university and randomized to group (n = 40) or GSH (n = 31). Assessments occurred at 0 (pre-test), 8 (post-test), and 16 weeks (follow-up). Group participants attended eight weekly 1.5-hour sessions. GSH participants engaged in self-study and had eight weekly 20-minute phone calls.

RESULTS

Both conditions demonstrated feasibility, with superior retention and attendance in GSH. Over 90% of those attending at least one session in either condition were retained through follow-up. Both conditions were highly acceptable, and produced medium to large reductions in DEBs, body dissatisfaction, and weight-bias internalization, and improvements in body appreciation, IE, and satisfaction with life from pre- to post-test, which were maintained at follow-up.

DISCUSSION

Results of this pilot are encouraging and support the development of a larger randomized controlled trial. Avenues for refinement include strategies to improve feasibility of the group condition, and conducting longer-term follow-up to examine maintenance of effects and the intervention's eating disorder prevention potential.

Body Mass Index Trajectories During Young Adulthood and Incident Hypertension: A Longitudinal Cohort in Chinese Population

Background This longitudinal study aims to characterize longitudinal body mass index ( BMI ) trajectories during young adulthood (20-40 years) and examine the impact of level-independent BMI trajectories on hypertension risk. Methods and Results The cohort consisted of 3271 participants (1712 males and 1559 females) who had BMI and blood pressure ( BP ) repeatedly measured 4 to 11 times during 2004 to 2015 and information on incident hypertension. Four distinct trajectory groups were identified using latent class growth mixture model: low-stable (n=1497), medium-increasing (n=1421), high-increasing (n=291), sharp-increasing (n=62). Model-estimated levels and linear slopes of BMI at each age point between ages 20 and 40 were calculated in 1-year intervals using the latent class growth mixture model parameters and their first derivatives, respectively. Compared with the low-stable group, the hazard ratios and 95% CI were 2.42 (1.88, 3.11), 4.25 (3.08, 5.87), 11.17 (7.60, 16.41) for the 3 increasing groups, respectively. After adjusting for covariates, the standardized odds ratios and 95% CI of model-estimated BMI level for incident hypertension increased in 20 to 35 years, ranging from 0.80 (0.72-0.90) to 1.59 (1.44-1.75); then decreased gradually to 1.54 (1.42-1.68). The standardized odds ratio s of level-adjusted linear slopes increased from 1.22 (1.09-1.37) to 1.79 (1.59-2.01) at 20 to 24 years; then decreased rapidly to 1.12 (0.95-1.32). Conclusions These results indicate that the level-independent BMI trajectories during young adulthood have significant impact on hypertension risk. Age between 20 and 30 years is a crucial period for incident hypertension, which has implications for early prevention.

Effect of metabolically healthy obesity on the development of arterial stiffness: a prospective cohort study

Background

Metabolically healthy obesity (MHO) has been reported to be associated with the development of vascular damage by the carotid intima-media thickness, but the relationship between metabolic health and obesity phenotypes and arterial stiffness is still unknown. Our hypothesized that different metabolic health and obesity phenotypes might be associated with the development of arterial stiffness, and that subjects in MHO phenotype might not have increased risks of arterial stiffness compared with those in metabolically healthy nonobesity phenotype (MHNO), while metabolic unhealthy individuals might have increased risks of arterial stiffness.

Methods

A prospective cohort of 2076 participants (aged 36-48 years) who were enrolled in the Hanzhong Adolescent Hypertension Cohort Study in 2017 was analyzed in a cross-sectional analysis. A subgroup of 202 participants from 2005 to 2017 was selected by an isometric sampling method and was included in the final longitudinal analysis.

Results

We identified four metabolic health and obesity phenotypes for both the cross-sectional and longitudinal analyses as follows: MHNO, metabolically unhealthy nonobesity (MUNO), MHO, and metabolically unhealthy obesity (MUO). In the cross-sectional analysis, individuals with the MHO phenotype had the lowest brachial-ankle pulse wave velocity (baPWV) levels of the four phenotypes (P < 0.001), and participants with the MHO phenotype had a similar risk of arterial stiffness after fully adjustment [odds ratio (OR) = 0.99 (0.61-1.60)] as the MUNO subjects. Subjects with metabolically unhealthy status had a significantly higher risk of arterial stiffness than the MHNO individuals, particularly females (P < 0.005). In the longitudinal analysis, subjects with the MUNO and MUO phenotypes had a significantly higher risk of arterial stiffness than the MHNO individuals after adjustment for age and sex [OR = 5.21 (2.26-12.02), OR = 3.32 (1.18-9.32), respectively].

Conclusions

The MHO phenotype did not significantly increase the progression of arterial stiffness. Metabolically unhealthy individuals (MUNO, MUO), regardless of obesity status, showed a worse effect for the development of arterial stiffness, particularly females.

Trial registration

NCT02734472. Registered 12 April 2016 - Retrospectively registered, http:www.clinicaltrials.gov.

Network organization during probabilistic learning via taste outcomes

Reinforcement learning guides food decisions, yet how the brain learns from taste in humans is not fully understood. Existing research examines reinforcement learning from taste using passive condition paradigms, but response-dependent instrumental conditioning better reflects natural eating behavior. Here, we examined brain response during a taste-motivated reinforcement learning task and how measures of task-based network structure were related to behavioral outcomes. During a functional MRI scan, 85 participants completed a probabilistic selection task with feedback via sweet taste or bitter taste. Whole brain response and functional network topology measures, including identification of communities and community segregation, were examined during choice, sweet taste, and bitter taste conditions. Relative to the bitter taste, sweet taste was associated with increased whole brain response in the hippocampus, oral somatosensory cortex, and orbitofrontal cortex. Sweet taste was also related to differential community assignment of the ventromedial prefrontal cortex and ventrolateral prefrontal cortex compared to bitter taste. During choice, increasing segregation of a community containing the amygdala, hippocampus, and right fusiform gyrus was associated with increased sensitivity to punishment on the task's posttest. Further, normal BMI was associated with differential community structure compared to overweight and obese BMI, where high BMI reflected increased connectivity of visual regions. Together, results demonstrate that network topology of learning and memory regions during choice is related to avoiding a bitter taste, and that BMI is associated with increased connectivity of area involved in processing external stimuli. Network organization and topology provide unique insight into individual differences in brain response to instrumental conditioning via taste reinforcers.

Communication of children's weight status: what is effective and what are the children's and parents' experiences and preferences? A mixed methods systematic review

BACKGROUND

Early intervention and conversation about a child's weight may offer an important chance of success in reducing weight and implementing a healthier lifestyle. This review explores the most effective ways to notify parents and children about the child's weight as well as their preferences and experiences around weight notification.

METHODS

We systematically searched nine databases for relevant primary research. Records were independently screened by two authors. We extracted data into a form designed for this review. Effect data was analysed using narrative synthesis and qualitative data using a best-fit framework synthesis. We assessed our confidence in the evidence using GRADE and GRADE-CERQual.

RESULTS

Studies of effect found that the format of feedback made little or no difference in parents attending further treatment, recognising their child as overweight or obese, reactions to the way the weight notification is given, motivation for lifestyle change, understanding how to reduce the risk of overweight, or taking any action. However, parents receiving feedback with motivational interviewing have somewhat greater satisfaction with the way the healthcare provider supports them. Qualitative studies found that parents had clear preferences for the format, timing, content and amount of information they wanted to receive in relation to both the weighing process and weight notification. They also had clear preferences for how they wanted health care providers to interact and communicate with them and their children. Both parents and children often felt that they were not receiving enough information and worried about how their results would be kept private. Many parents experienced an emotional response when told about their child's weight ranging from positive, disbelief and negative feelings. Those who reacted with disbelief or negatively were less likely to accept their child's weight status and/or act upon the notification letter. No studies reported results for children who were underweight.

CONCLUSIONS

Based on these qualitative results people working with weight assessment and notification programs should consider parents' preferences when developing feedback formats, considering the mode of feedback they are going to use and provide parents and children with tailored feedback and personalized follow up once a child is identified as overweight or obese.

Dyslipidemia prevalence in adolescents in public schools

OBJECTIVE

To evaluate the prevalence of dyslipidemia in adolescents enrolled in the state public education system of the city of Montes Claros, state of Minas Gerais, and compare to a Brazilian population-based study.

METHOD

This is an epidemiological, cross-sectional, and analytical study with a population of 77,833 students from 63 schools, representing four geographic areas of the city. After a sample calculation, information on 635 adolescents from 10 to 16 years of age was assessed and blood collection was conducted for the analysis of biochemical parameters of total cholesterol, triglycerides, LDL-c, and HDL-c.

RESULTS

Among the adolescents, 26.8% showed high levels of total cholesterol, 15.7% of triglycerides, and 6.5% of LDL-c, and 40.8% had low HDL-c levels.

CONCLUSION

Except for HDL-c levels, dyslipidemia prevalence and means in adolescents from Montes Claros, Minas Gerais, were above the levels found in the Brazilian population-based study used as parameter.

Body Mass Index Trajectories in Early Life Is Predictive of Cardiometabolic Risk

OBJECTIVE

To identify distinct body mass index (BMI) trajectories across the life-course and explore the effects of BMI trajectories on the adult cardiovascular disease outcomes using a dataset with 30 years of follow-up in northern China.

STUDY DESIGN

A total of 2839 participants aged 6-18 years whose BMIs were measured 3-6 times during the Hanzhong Adolescent Hypertension Study were included in our analysis. Latent mixture modeling was used to clarify distinct BMI trajectories in longitudinal analyses.

RESULTS

Three groups with distinct trajectories in BMI were identified by the latent mixed models: a low-increasing group (n = 1324 [36.64%]), a moderate-increasing group (n = 1178 [16.89%]), and a high-increasing group (n = 337 [39.46%]). Compared with the participants in the low-increasing group, the risk ratios of hypertension, type 2 diabetes mellitus, high-risk triglycerides, and high-risk high-density lipoprotein cholesterol were more than 3.0 in the high-increasing group (all P < .001) after being fully adjusted. Increased risks existed in high brachial-ankle pulse wave velocity for the high-increasing group compared with the low-increasing group (RR, 2.75; 95% CI, 1.94-3.91; P < .001). Additionally, participants in the moderate-increasing group had a 2.31-fold increased risks of left ventricular hypertrophy (95% CI, 1.25-4.30; P = .008).

CONCLUSIONS

Our study indicates that BMI trajectories from childhood to adulthood vary and that an elevated BMI trajectory in early life is predictive of an increased the risk of developing cardiovascular disease risks.

TRIAL REGISTRATION

ClinicalTrials.gov: NCT02734472.

BMI Trajectories from Birth to 23 Years by Cardiometabolic Risks in Young Adulthood

OBJECTIVE

The aim of this study was to investigate whether the level, rate, and acceleration of BMI growth differ according to the presence or absence of adult cardiometabolic (CM) risks.

METHODS

BMI was measured in 1,000 Chileans at nine time points from birth to 23 years, and metabolic syndrome and its components were assessed at young adulthood. BMI growth was analyzed in the following three developmental periods: birth to 6 months, 6 months to 5 years, and 5 to 23 years.

RESULTS

Individuals with CM risks had a specific constellation of early-life growth (faster growth after infancy, lower BMI decline approaching age 5, absence of a definitive BMI nadir in early childhood, higher 5-year BMI) and distinct young adult growth (larger BMI increases from childhood to young adulthood and lower levels of expected growth deceleration approaching young adulthood). Those with CM risks also attained BMI ≥ 25 at significantly younger ages than those absent risks (metabolic syndrome: 12.3 years vs. 20.1 years; hyperglycemia: 13.1 years vs. 18.9 years; hypertension: 13.2 years vs. 19.4 years; hypertriglyceridemia: 14.3 years vs. 19.5 years; inflammation: 15.9 years vs. 20.6 years).

CONCLUSIONS

Larger and faster increases in BMI and a failure of BMI growth to decline or decelerate at specific developmental periods distinguished individuals who would and would not have adult CM risks.

Text Message Behavioral Intervention for Teens on Eating, Physical Activity and Social Wellbeing (TEXTBITES): Protocol for a Randomized Controlled Trial

BACKGROUND

Obesity is among the most significant health challenges facing today's adolescents. Weight gain during adolescence is related to cardiovascular disease, type 2 diabetes, and some cancers in later life. Presently, adolescents living in Australia have limited access to age-appropriate obesity prevention services.

OBJECTIVE

This study aims to investigate whether a two-way text message program, with optional telephone health counseling, improves body mass index (BMI) z score and lifestyle outcomes in adolescents who are overweight.

METHODS

This study will be a single-blind randomized controlled trial (N=150) comparing a two-way text message intervention, with optional telephone health counseling, to usual care in adolescents (13-18 years old, inclusive) who are overweight (recruited from a pediatric weight management clinic and the broader community in Sydney, Australia). The intervention group will receive a six-month text message program, which consists of two-way, semipersonalized, lifestyle-focused text messages (four messages/week) in addition to usual care. The control group will be assigned to receive usual care. The study also includes a follow-up at 12-months. The primary outcome is a change in BMI z score at six months. Secondary outcomes are changes in waist-to-height ratio, diet, physical and sedentary activity levels, sleep quality, quality of life, self-esteem, self-efficacy, social support, and eating disorder and depression symptoms. Also, we will examine acceptability, utility, and engagement with the program through a study-specific process evaluation questionnaire, semi-structured telephone interviews, and an analysis of health counselor communication logs. The analyses will be performed by the intention-to-treat principle to assess differences between intervention and control groups.

RESULTS

The study opened for recruitment in December 2019. Data collection is expected to be completed by December 2021, and the results for the primary outcome are expected to be published in early 2022.

CONCLUSIONS

This study will test the effectiveness of an interactive two-way text message program compared to usual care in improving BMI z score and lifestyle outcomes in adolescents with overweight. This interactive, innovative, and scalable project also aims to inform future practice and community initiatives to promote obesity prevention behaviors for adolescents.

TRIAL REGISTRATION

Australia New Zealand Clinical Trials Registry (ANZCTR) ACTRN12619000389101; https://www.anzctr.org.au/Trial/Registration/TrialReview.aspx?id=377158&amp;isReview=true.

INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID)

DERR1-10.2196/16481.

'Not to Be Harsh but Try Less to Relate to 'the Teens' and You'll Relate to Them More': Co-Designing Obesity Prevention Text Messages with Adolescents

Text messages remain a preferred way for adolescents to communicate, and recent evidence suggests adolescents would like access to digital healthcare options. However, there is limited evidence for text messages to engage adolescent populations in obesity prevention behaviors. We aimed to co-design a bank of text messages that are evidence-based, acceptable, and engaging for adolescents. An established iterative mixed methods process, consisting of three phases, was used to develop the text message program. The first bank of 145 text messages was drafted based on current evidence, behavior change techniques, and input from researchers and health professionals. A survey was then administered to adolescents and professionals for review of text message content, usefulness, understanding, and age-appropriateness. An adolescent research assistant collaborated with the research team on all three phases. Forty participants (25 adolescents and 15 professionals) reviewed the initial bank of 145 text messages. On average, all reviewers agreed the text messages were easy to understand (13.6/15) and useful (13.1/15). In total, 107 text messages were included in the final text message bank to support behavior change and prevent obesity. This study may guide other researchers or health professionals who are seeking to engage adolescents in the co-design of health promotion or intervention content. Effectiveness of the text message program will be tested in a randomized controlled trial.

Life-course trajectories of body mass index and subsequent cardiovascular risk among Chinese population

BACKGROUND

Examining body mass index (BMI) change over life course is crucial for cardiovascular health promotion and prevention. So far, there is very few evidence on the long-term change of BMI from childhood to late life. This study aimed to examine the life-course trajectory patterns of BMI and then to link the trajectory patterns to cardiovascular risk factors in adulthood.

METHODS

Based on longitudinal data from the China Health and Nutrition Survey, 5276 participants (aged 6-60) at baseline (in 1989) with up to 7 measurements of BMI during 1989-2009 were selected in this study. Cardiovascular risk factors including high blood pressure, high blood glucose and high blood lipids were assessed in 2411 participants in 2009. Latent growth curve modelling was used to analyse the BMI trajectories, and logistic regression was used to examine the associations between trajectory patterns and cardiovascular risk factors.

RESULTS

Four trajectories patterns of BMI over life course (age 6-80) were identified: Normal-Stable (22.4% of the total participants), Low normal-Normal-Stable (44.1%), Low normal-Normal-Overweight (27.2%), and Overweight-Obese (4.3%). Compared to those with Normal-Stable pattern, those with Low normal-Normal-Stable pattern, Low normal-Normal-Overweight pattern and Overweight-Obese pattern had higher risk of high blood pressure (odds ratio range = 1.6-6.6), high blood glucose (1.7-9.1), dyslipidemia (2.6-5.9) and having at least two of the three cardiovascular risk factors (3.9-30.9).

CONCLUSIONS

Having a stable BMI within normal range over life course is associated with the lowest cardiovascular risk, whereas remaining overweight and obese over life course is associated with the highest cardiovascular risk.

Maltreatment experience in childhood and average excess body mass from adolescence to young adulthood

BACKGROUND

Prior studies have suggested maltreatment is a strong predictor of later weight outcomes, such that maltreatment experiences in childhood increase the likelihood of being overweight or obese in adulthood. Estimates of this relationship may be biased due to: 1) inadequate selection of covariates; 2) improper operationalization of child maltreatment; and 3) restricting analyses to cross-sectional outcomes.

OBJECTIVES

Evaluate how latent classes of child maltreatment experiences are associated with a longitudinal BMI measure from adolescence to adulthood.

PARTICIPANTS

Data from the National Longitudinal Study of Adolescent to Adult Health.

METHODS

We evaluated how previously developed latent classes of child maltreatment experiences were associated with average excess BMI from adolescence to adulthood using multivariate linear regression.

RESULTS

In the unadjusted model, individuals in the poly-maltreatment class (b = 0.46, s.e. = 0.20) and individuals who experienced adolescent-onset maltreatment (b = 0.36, s.e. = 0.11) had higher average excess BMI compared to individuals in the no maltreatment class. After adjusting for confounders, the relationship between poly-maltreatment and average excess BMI abated, whereas the relationship between adolescent-onset maltreatment and average excess BMI sustained (b = 0.28, s.e. = 0.11).

CONCLUSIONS

Contrary to previous findings, our analyses suggest the association between maltreatment experiences and longitudinal weight outcomes dissipates after controlling for relevant confounders. We did find a relationship, however, between adolescent-onset maltreatment and average excess BMI from adolescence to adulthood. This suggests the importance of maltreatment timing in the relationship between maltreatment and weight.

Does a parsimonious measure of complex body mass index trajectories exist?

BACKGROUND

A single measure that distills complex body mass index (BMI) trajectories into one value could facilitate otherwise complicated analyses. This study creates and assesses the validity of such a measure: average excess BMI.

METHODS

We use data from Waves I-IV of the National Longitudinal Study of Adolescent to Adult Health (n = 17,669). We calculate average excess BMI by integrating to find the area above a healthy BMI trajectory and below each subject-specific trajectory and divide this value by total study time. To assess validity and utility, we (1) evaluate relationships between average excess BMI from adolescence to adulthood and adult chronic conditions, (2) compare associations and fit to models using subject-specific BMI trajectory parameter estimates as predictors, and (3) compare associations to models using BMI trajectory parameter estimates as outcomes.

RESULTS

Average excess BMI from adolescence to adulthood is associated with increased odds of hypertension (OR = 1.56; 95% CI: 1.47, 1.67), hyperlipidemia (OR = 1.36; 95% CI: 1.26, 1.47), and diabetes (OR = 1.57; 95% CI: 1.47, 1.67). The odds associated with average excess BMI are higher than the odds associated with the BMI intercept, linear, or quadratic slope. Correlations between observed and predicted health outcomes are slightly lower for some models using average excess BMI as the focal predictor compared to those using BMI intercept, linear, and quadratic slope. When using trajectory parameters as outcomes, some co-variates associate with the intercept, linear, and quadratic slope in contradicting directions.

CONCLUSIONS

This study supports the utility of average excess BMI as an outcome. The higher an individual's average excess BMI from adolescence to adulthood, the greater their odds of chronic conditions. Future studies investigating longitudinal BMI as an outcome should consider using average excess BMI, whereas studies that conceptualize longitudinal BMI as the predictor should continue using traditional latent growth methods.

Body mass index trajectories from adolescent to young adult for incident high blood pressure and high plasma glucose

Objectives

To explore the association between sex-specific adiposity trajectories among Adolescents to early adulthood with incident high blood pressure (HBP) and high plasma glucose (HPG).

Methods

We studied body mass index (BMI) trajectories among1159 (male = 517) and 664 (male = 263) Iranian adolescents, aged 12–20 years, for incident HPG and HBP, respectively. Latent Class Growth Mixture Modeling (LCGMM) on longitudinal data was used to determine sex-specific and distinct BMI trajectories. Logistic regressions were applied to estimate the relationship between latent class membership with HBP and HPG, considering normal trajectory as the reference.

Results

For both HBP and HPG, LCGMM determined two and three distinct BMI trajectories in males and females, respectively. During a follow-up of 12Years 104 (male = 62) and 111(male = 59) cases of HPG and HBP were found, respectively. Among females, faster BMI increases (i.e. overweight to early obese trajectory) but not overweight (i.e. those with BMI = 27.3 kg/m² at baseline) trajectories increased the risk of HPG by adjusted odds ratios (ORs), 2.74 (1.10–5.80) and 0.79 (0.22–2.82), respectively; regarding HBP, the corresponding value for overweight to late obese trajectory was 3.72 (1.37–11.02). Among males, for HBP, the overweight trajectory increased the risk [2.09 (1.04–4.03)]; however, for incident HPG, none of the trajectories showed significant risk.

Conclusions

Among females, trend of increasing BMI parallel with age can be a better predictor for risk of developing HPG and HBP than those with higher BMI at baseline.

Home and Family Environment Related to Development of Obesity: A 21-Year Longitudinal Study

BACKGROUND

Early-life conditions are important for the development of obesity. We hypothesized that home and family characteristics reflective of less supportive environments during childhood will be associated with higher adult BMI and faster BMI growth between ages 5 and 21 years. We also examined the timing and acceleration of BMI increase by adult weight status (normal weight, overweight, obese, and extremely obese) to discern how BMI increase differs across group and across time.

METHODS

BMI was assessed in 1000 Chilean youth (52% female) at ages 5, 10, 15, and 21 years. Latent growth curve analysis modeled BMI trajectories from 5 to 21 years. Observer and maternal ratings assessed children's home and family environments and parenting at 1 and 10 years.

RESULTS

The four weight groups differed in acceleration of BMI increase starting at age 5, with bigger children getting bigger faster. Higher 21-year BMI related to family stress, father absence, maternal depression, frequent child confinement (in playpen), an unclean home environment at 1 year, and low provision for active stimulation and few stimulating experiences at 10 years. Accelerated BMI increase related to lower learning stimulation in the home at 1 year and less parental warmth and acceptance at child age 10.

CONCLUSIONS

Home and family characteristics that reflect an absence of support for children's development were associated with overweight/obesity in young adulthood and accelerated BMI growth. Findings identify several home and family characteristics that can serve as preventive or intervention targets.

Light smoking is associated with metabolic syndrome risk factors in Chilean young adults

AIMS

Metabolic syndrome (MetS) is a cluster of risk factors for cardiometabolic diseases. While cigarette smoking is associated with MetS in adults, young adulthood is an under-studied, susceptible period for developing long-term morbidity from MetS. We examined associations between cigarette smoking and MetS risk factors.

METHODS

We studied 430 participants in Santiago, Chile who have been followed in a longitudinal cohort since infancy and assessed in adolescence for MetS. Participants were evaluated at 22 years from May 2015 to July 2017. Adiposity, blood pressure, and blood samples were measured. MetS was defined using International Diabetes Federation criteria. A continuous MetS score was calculated using z-scores. Participants self-reported cigarette and alcohol consumption using standardized questionnaires. We used multivariate regressions to examine associations between smoking and MetS risk factors, adjusting for sex, MetS in adolescence, alcohol consumption, and socioeconomic status.

RESULTS

Thirteen percent of participants had MetS and 50% were current smokers. Among smokers, mean age of initiation was 14.9 years and consumption was 29 cigarettes weekly. Smokers had larger waist circumferences, higher BMIs, and lower high-density lipoprotein (HDL) cholesterol compared to non-smokers. Being a current smoker was significantly associated with higher waist circumference (β = 2.82; 95% CI 0.63, 5.02), lower HDL (β = - 3.62; 95% CI - 6.19, - 1.04), higher BMI (β = 1.22; 95% CI 0.16, 2.28), and higher MetS score (β = 0.13, 95% CI 0.02, 0.24).

CONCLUSIONS

Cigarette smoking at light levels (mean < 30 cigarettes weekly) was associated with MetS risk factors in a sample of Chilean young adults.

Indirect Effects of Body Mass Index Growth on Glucose Dysregulation via Inflammation: Causal Moderated Mediation Analysis

OBJECTIVE

No existing studies have examined the mediating role of chronic inflammation between obesity and dysregulated glucose homeostasis in adolescent samples. This study evaluated whether C-reactive protein (CRP), an inflammation biomarker, mediated the effects of growth (annual increase) in body mass index (BMI) on glycated hemoglobin (HbA1c).

METHODS

BMI and biomarker data were used from wave I to wave IV of the National Longitudinal Study of Adolescent to Adult Health (Add Health study; 4,545 adolescents; mean age = 14.9 years; 55.7% female) with valid CRP data. A causal moderated mediation analysis evaluated the direct and indirect effects of BMI slope on HbA1c via CRP across gender, with demographic and clinical characteristics as model covariates.

RESULTS

The participants displayed a linear BMI growth of 0.53-0.58 kg/m2/year throughout adolescence, with substantial interindividual variation. The BMI slope showed positive direct and indirect effects on HbA1c via CRP across gender, and there was a significant exposure-mediator interaction effect. A standardized increase in the BMI slope raised the probability of an abnormal HbA1c value by 6.0-8.5% in participants with various profiles. The total natural indirect effect accounted for 13.3-15.9% of the total effect in males and 21.2-22.7% in females.

CONCLUSIONS

The findings provide support for the inflammation mechanism in the effects of adiposity on glucose homeostasis. In adolescents, excess BMI growth was linked with a higher risk of glucose dysregulation either directly or indirectly via chronic inflammation.

Personal, behavioral, and environmental predictors of healthy weight maintenance during the transition to adulthood

There is a high prevalence of overweight among U.S. young adults and the intergenerational implications of excess weight gain at this life stage are great. We used Project EAT (Eating and Activity in Teens and Young Adults) study data to identify personal, behavioral, and environmental factors that predicted healthy weight maintenance during the transition from adolescence to adulthood and as individuals progressed from the third to fourth decade of life. The sample included 1120 young adults who were secondary school students in Minneapolis-St. Paul at Time 1 (1998-1999) and responded at follow-ups in 2008-2009 and 2015-2016. Results showed individual factors and multiple environmental factors contribute to maintenance. The most consistent findings suggest that having higher body satisfaction and avoiding unhealthy weight control behaviors (e.g., skipping meals) and dieting are protective against excess weight gain for women and men. For example, the odds ratio associated with a one standard deviation increase in the probability of using an extreme weight control behavior from adolescence and adulthood was 0.67 (CI: 0.54, 0.84) among women and 0.34 (CI: 0.12, 0.96) among men indicating decreased odds of maintaining a healthy weight. Social support for healthy eating and physical activity were protective whereas close relationships with individuals who were dieting (e.g., parents, significant others) reduced the likelihood of maintaining a healthy weight. Primary prevention strategies should continue beyond adolescence and involve peer social support to encourage young people at a healthy weight to be satisfied with their shape/size and avoid restrictive weight control behaviors.

Strategies to Engage Adolescents in Digital Health Interventions for Obesity Prevention and Management

Obesity is one of the greatest health challenges facing today’s adolescents. Dietary interventions are the foundation of obesity prevention and management. As adolescents are digital frontrunners and early adopters of technology, digital health interventions appear the most practical modality for dietary behavior change interventions. Despite the rapid growth in digital health interventions, effective engagement with adolescents remains a pertinent issue. Key strategies for effective engagement include co-designing interventions with adolescents, personalization of interventions, and just-in-time adaptation using data from wearable devices. The aim of this paper is to appraise these strategies, which may be used to improve effective engagement and thereby improve the dietary behaviors of adolescents now and in the future.

Intersecting Social Inequalities and Body Mass Index Trajectories from Adolescence to Early Adulthood

This study combines multiple-hierarchy stratification and life course perspectives to address two research questions critical to understanding U.S. young adult health. First, to what extent are racial-ethnic inequalities in body mass index (BMI) gendered and/or classed? Second, do racial-ethnic, gender, and socioeconomic inequalities in BMI widen or persist between adolescence and early adulthood? Using data from the National Longitudinal Survey of Youth 1997 cohort and growth curve models, results suggest that among white, black, and Hispanic American men and women ages 13 to 31, racial-ethnic inequality in BMI is greatest among women. Black women experience the highest adolescent BMI and the greatest increases in BMI with age. Furthermore, socioeconomic resources are less protective against weight gain for blacks and Hispanics, with the nature of these relationships varying by gender. Findings present a more nuanced picture of health inequality that renders visible the disproportionate burden of poor health experienced by marginalized groups.