Body Mass Index Trajectories Research Articles

Body Mass Index Trajectory and Outcome Post Fontan Procedure.

Background Patients with a single ventricle who experience early life growth failure suffer high morbidity and mortality in the perisurgical period. However, long-term implications of poor infant growth, as well as associations between body mass index (BMI) and outcome in adulthood, remain unclear. We aimed to model BMI trajectories of patients with a single ventricle undergoing a Fontan procedure to determine trajectory-based differences in baseline characteristics and long-term clinical outcomes. Methods and Results We performed a retrospective analysis of medical records from patients in the Australia and New Zealand Fontan Registry receiving treatment at the Royal Children's Hospital, The Children's Hospital at Westmead, Royal Melbourne Hospital, and Royal Prince Alfred Hospital from 1981 to 2018. BMI trajectories were modeled in 496 patients using latent class growth analysis from 0 to 6 months, 6 to 60 months, and 5 to 16 years. Trajectories were compared regarding long-term incidence of severe Fontan failure (defined as mortality, heart transplantation, Fontan takedown, or New York Heart Association class III/IV heart failure). Three trajectories were found for male and female subjects at each age group-lower, middle, higher. Subjects in the lower trajectory at 0 to 6 months were more likely to have an atriopulmonary Fontan and experienced increased mortality long term. No association was found between higher BMI trajectory, current BMI, and long-term outcome. Conclusions Poor growth in early life correlates with increased long-term severe Fontan failure. Delineation of distinct BMI trajectories can be used in larger and older cohorts to find optimal BMI targets for patient outcome.

Dose-dependent association between inhaled corticosteroid use and risk of obesity and metabolic syndrome in asthma.

Background: Inhaled corticosteroids (ICS) are widely prescribed medications. Some studies have reported that ICS may suppress the hypothalamic-pituitary-adrenal axis and induce systemic effects. Objective: To explore the possibility of a dose-dependent association between the long-term use of ICS and the risk of obesity and other markers of metabolic syndrome. Methods: A 5-year retrospective two-arm cohort study explored patients on asthma and not on ICS relative to patients with asthma who were on varying doses of ICS (low, medium, and high) and attributes such as body mass index (BMI) trajectory and prescription of antihypertensive, antidiabetic, and cholesterol-lowering medications. Results: A total of 229 subjects with asthma were in the control cohort, and 215 subjects with asthma were in the ICS cohort. The ICS cohort was subdivided into individuals on low- (n = 88), medium- (n = 107), or high- (n = 20) dose ICS throughout the 5-year study period. For every 1-year increase in time, the BMI in the high-dose ICS group increased at a rate of 0.25 kg/m² when compared with the subjects in the control group after controlling for age and gender. Also, for every 1-year increase in time, the BMI of those on medium-dose ICS increased by 0.06 kg/m² compared with those in the control group after controlling for age and gender. The subjects on ICS also had a statistically increased risk of being prescribed antihypertensive, antidiabetic, and cholesterol-lowering medications. Conclusion: ICS use in the subjects with asthma was associated with a dose-dependent risk of increasing BMI trajectories over time and an increased requirement for antidiabetic and cholesterol-lowering medications. One possible conclusion from this study is that long-term medium- and high-dose ICS have the potential to induce systemic effects.

Sibling group size and BMI over the life course: Evidence from four British cohort studies.

Only children, here defined as individuals growing up without siblings, are a small but growing demographic subgroup. Existing research has consistently shown that, on average, only children have higher body mass index (BMI) than individuals who grow up with siblings. How this difference develops with age is unclear and existing evidence is inconclusive regarding the underlying mechanisms. We investigate BMI trajectories for only children and those with siblings up to late adolescence for four British birth cohorts and across adulthood for three cohorts. We use data on BMI from ages 2-63 years (cohort born 1946); 7-55 years (born 1958); 10-46 (born 1970) and 3-17 years (born 2000-2002). Using mixed effects regression separately for each cohort, we estimate the change in BMI by age comparing only children and those with siblings. The results show higher average BMI among only children in each cohort, yet the difference is substantively small and limited to school age and adolescence. The association between sibling status and BMI at age 10/11 is not explained by differential health behaviours (physical activity, inactivity and diet) or individual or family background characteristics in any of the cohorts. Although persistent across cohorts, and despite the underlying mechanism remaining unexplained, the substantively small magnitude of the observed difference and the convergence of the trajectories by early adulthood in all cohorts raises doubts about whether the difference in BMI between only children and siblings in the UK context should be of research or clinical concern. Future research could usefully be directed more at whether only children experience elevated rates of disease, for which high BMI is a risk factor, at different stages of the life course and across contexts.

Body mass index trajectories in childhood and incidence rates of type 2 diabetes and coronary heart disease in adulthood: A cohort study

AimsWe examined associations between five body mass index (BMI) trajectories from ages 6–15 years and register-based adult-onset type 2 diabetes mellitus (T2D) and coronary heart disease (CHD) with and without adjustment for adult BMI. MethodsChild and adult BMI came from two Danish cohorts and 13,205 and 13,438 individuals were included in T2D and CHD analyses, respectively. Trajectories were estimated by latent class modelling. Incidence rate ratios (IRRs) were estimated with Poisson regression. ResultsIn models without adult BMI, compared to the lowest trajectory, among men the T2D IRRs were 0.92 (95 %CI:0.77–1.09) for the second lowest trajectory and 1.51 (95 %CI:0.71–3.20) for the highest trajectory. The corresponding IRRs in women were 0.92 (95 %CI:0.74–1.16) and 3.58 (95 %CI:2.30–5.57). In models including adult BMI, compared to the lowest trajectory, T2D IRRs in men were 0.57 (95 %CI:0.47–0.68) for the second lowest trajectory and 0.26 (95 %CI:0.12–0.56) for the highest trajectory. The corresponding IRRs in women were 0.60 (95 %CI:0.48–0.75) and 0.59 (95 %CI:0.36–0.96). The associations were similar in direction, but not statistically significant, for CHD. ConclusionsIncidence rates of adult-onset T2D were greater for a high child BMI trajectory than a low child BMI trajectory, but not in models that included adult BMI.

Multiple trajectories of any intensities of physical activity are better than sustained sedentary time on improving waist circumference and body mass index among Chinese adults: China Health and Nutrition Survey, 2004-2018

Higher levels of physical activity (PA) may be associated with more favorable measures of adiposity, and sedentary time (ST) is associated with adverse health outcomes independent of PA. We hypothesized that multiple routes of different PA intensities PA combined with ST would be associated with coexisting latent waist circumference (WC) and body mass index (BMI) trajectories among Chinese adults. Thus, we aimed to determine multiple routes of PA and ST and their associations with trajectories of WC and BMI. We used data from 13 137 adults in the China Health and Nutrition Survey between 2004 and 2018. Using group-based multitrajectory modeling, we determined multiple trajectories of light-, moderate-, and vigorous-intensity PA (LPA, MPA) and ST (PA trajectories) and concurrent WC and BMI trajectories. Then, we explored logit regressions between them. We identified 4 PA trajectories. The majority (high LPA, 43.5%) exhibited decreasing high LPA levels. The rest were high ST (9.0%), decreased MPA (15.8%), and high vigorous-intensity PA (31.7%). People with high ST showed higher odds of having abdominal obesity (odds ratio [OR]=2.23) or severe abdominal obesity (OR=1.73) than those with decreased MPA (OR=1.85 and 1.71) and high LPA (OR=1.43 for abdominal obesity). They also showed higher odds of being overweight (OR=1.73) than those with decreased MPA (OR=1.58) and high LPA (OR=1.39). Any level of PA is better than sustained ST for improving adiposity indicators among Chinese adults.

Distinct Trajectories of Overweight During Childhood and Elevated Blood Pressure at Late Adolescence

Distinct Trajectories of Overweight During Childhood and Elevated Blood Pressure at Late Adolescence

Identification of robust deep neural network models of longitudinal clinical measurements

Deep learning (DL) from electronic health records holds promise for disease prediction, but systematic methods for learning from simulated longitudinal clinical measurements have yet to be reported. We compared nine DL frameworks using simulated body mass index (BMI), glucose, and systolic blood pressure trajectories, independently isolated shape and magnitude changes, and evaluated model performance across various parameters (e.g., irregularity, missingness). Overall, discrimination based on variation in shape was more challenging than magnitude. Time-series forest-convolutional neural networks (TSF-CNN) and Gramian angular field(GAF)-CNN outperformed other approaches (P < 0.05) with overall area-under-the-curve (AUCs) of 0.93 for both models, and 0.92 and 0.89 for variation in magnitude and shape with up to 50% missing data. Furthermore, in a real-world assessment, the TSF-CNN model predicted T2D with AUCs reaching 0.72 using only BMI trajectories. In conclusion, we performed an extensive evaluation of DL approaches and identified robust modeling frameworks for disease prediction based on longitudinal clinical measurements.

Sex-specific metabolic risk factors and their trajectories towards the non-alcoholic fatty liver disease incidence.

Non-alcoholic fatty liver disease (NAFLD) is a common chronic liver disease. This study examined sex-specific associations between NAFLD and metabolic factors and investigated the trajectory of risk factors. We retrospectively investigated 16,140 individuals from Beijing Health Management Cohort. Univariate and multivariate time-dependent Cox regression analyses were performed to identify independent risk factors for new-onset NAFLD. The trajectory of risk factors was investigated using the latent growth curve model and growth mixture model. Over a median follow-up of 3.15years, 2,450 (15.18%) participants developed NAFLD. The risk factors for NAFLD in men were increased body mass index (BMI); waist circumference (WC); triglyceride (TG), low-density lipoprotein cholesterol (LDL-C), haemoglobin (Hb), and serum uric acid (SUA) levels; and platelet (PLT) count and decreased serum creatinine-to-body weight (sCr/bw) and high-density lipoprotein cholesterol (HDL-C) levels. In women, the risk factors were increased BMI, WC, and fasting plasma glucose (FPG), TG, LDL-C, SUA, white blood cell (WBC), and PLT and decreased sCr/bw and HDL-C levels. In addition, BMI, LDL-C, sCr/bw and PLT changing trajectories were associated with NAFLD in men; BMI, WC, TG, LDL-C, SUA and sCr/bw trends was associated with NAFLD risk in women. Development of NAFLD is associated with BMI, LDL-C, sCr/bw and PLT changing trajectories in men; BMI, WC, TG, LDL-C, SUA and sCr/bw trends are associated an increased risk of NAFLD in women. Deterioration of metabolic risk factors status can be a predictor of NAFLD many years before its occurrence.

Body Mass Index Trajectories From Childhood to Adulthood and Age at Onset of Overweight and Obesity: The Influence of Parents' Weight Status.

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.

The impact of sex on blood pressure and anthropometry trajectories from early adulthood in a Nigerian population: insights into women’s cardiovascular disease risk across the lifespan

BackgroundSex disparities in blood pressure and anthropometry may account for differences in cardiovascular (CV) risk burden with advancing age; modulated by ethnic variability. We explored trajectories of blood pressures (BPs) and anthropometric indices with age on the basis of sex in an urban Nigerian population.MethodsWe conducted a secondary analysis on data from 5135 participants (aged 16–92 years; 2671(52%) females) from our population-based cross-sectional study of BP profiles. We utilized the WHO STEPS and standardized methods for documenting BPs, body mass index (BMI) and waist circumference (WC). Data was analyzed using Analysis of variance (ANOVA), Spearman correlation analysis and mean difference in variables (with 95% confidence interval). We explored the influence of age and sex on BP profiles and specific anthropometric indices using generalized regression analysis.ResultsIn those aged 15–44 years, males had significantly higher systolic BP (SBP) and pulse pressure (PP). However, mean SBP and PP rose more steeply in females from 25 to 34 years, intersected with that of males from 45 to 54 years and remained consistently higher. Difference in mean BPs (95% Confidence Interval) (comparing < and > 45 years) was higher in females compared to males for SBP (17.4 (15.8 to 19.0) v. 9.2 (7.7 to 10.7), DBP (9.0 (7.9 to 10.1) v. 7.8 (6.7 to 8.9)), and PP (8.4 (7.3 to 9.5) v. 1.4 (0.3 to 2.5)). Females had significantly higher BMI and WC across all age groups (p < 0.001). Age more significantly correlated with BPs, BMI and WC in females. Interaction models revealed that SBP was significantly predicted by age category in females from (15–54 years), while DBP was only significantly predicted by age in the 15–34-year category (p < 0.01). BMI and WC were significantly predicted by age only in the 25–34-year category in females, (p < 0.01).ConclusionsOur population demonstrates sex disparity in trajectories of SBP, PP, BMI and WC with age; with steeper rise in females. There is a need to focus on CV risk reduction in females, starting before, or during early adulthood.

Maternal pre-pregnancy BMI and offspring hyperactivity-inattention trajectories from 3 to 8years in the EDEN birth cohort study.

Evidence suggests obesity during pregnancy is associated with offspring attention-deficit hyperactivity disorder. However, studies have been limited to evaluating the association at a single age with inadequate data on important maternal lifestyle confounders and unmeasured familial confounding. The objective of this study was to examine the association between maternal pre-pregnancy body mass index (BMI) and child hyperactivity-inattention symptoms (HIS) at 3, 5 and 8years. Data came from the EDEN mother-child cohort. Maternal pre-pregnancy BMI status (kg/m2) was calculated using pre-pregnancy weight and height (self-reported by mothers or measured by midwives). HIS were assessed by parental-report on the Strengths and Difficulties Questionnaire at 3, 5 and 8years of age and used to derive developmental trajectories of HIS (n = 1428). Multivariate models were adjusted for confounders including socioeconomic status, maternal lifestyle behaviours (exercise, diet, smoking, alcohol), childcare and a stimulating home environment. Paternal BMI was used as a negative control. Compared to a normal pre-pregnancy BMI, pre-pregnancy maternal obesity was positively associated with increased odds of a high HIS trajectory between 3 and 8years old in both unadjusted and adjusted logistic regression (adjusted odds ratio [aOR] 1.87 [95% CI 1.12, 3.12]). Pre-pregnancy overweight was not significantly associated after adjustment for confounders (aOR 1.32 [0.87, 2.01]). Maternal pre-pregnancy obesity, but not overweight, was associated with increased likelihood of a high HIS trajectory in children from 3 to 8years old. This association persisted despite controlling for many important maternal lifestyle factors and paternal BMI. Further research is warranted to identify possible mediators involved.

Body mass index trajectories and their predictors in undergraduate students from Canada: Results from the GENEiUS study

Objective: To explore the patterns and predictors of body mass index (BMI) change among undergraduate students from Ontario (Canada). Participants: 68 undergraduate students were followed longitudinally for 3 years with anthropometric data collected bi-annually. Methods: BMI measurements were plotted to generate individual BMI trajectory curves, which were categorized, based on the observed trajectory pattern. Within and between group comparisons of BMI were conducted via nonparametric paired tests. The association of baseline BMI, sex, and ethnicity with BMI trajectory type was assessed using multinomial logistic regression. Results: Four BMI trajectory types were observed: “stable weight” (n = 15, 22.1%), “weight gain” (n = 30, 44.1%), “weight loss” (n = 12, 17.6%), and “weight cycling” (n = 11, 16.2%) trajectories. Higher baseline BMI was significantly associated with the “weight gain,” “weight loss,” and the “weight cycling” trajectories as compared to the “stable weight” trajectory type. Conclusions: Our findings demonstrate an association between high baseline BMI and “nonstable” subsequent BMI change patterns among Canadian students.

Differences in body mass index trajectories of adolescent psychiatric inpatients by sex, age, diagnosis and medication: an exploratory longitudinal, mixed effects analysis.

Adolescents in secure psychiatric care typically report high obesity rates. However, longitudinal research exploring the rate and extent of change is sparse. This study aimed to analyse sex differences in longitudinal body mass index (BMI) change for adolescents receiving treatment in a secure psychiatric hospital. The sample comprised 670 adolescents in secure psychiatric care. BMI trajectories from admission to 50 months of hospitalisation were produced using sex-stratified multilevel models. Systematic difference in mean BMI trajectories according to age at admission (14, 15, 16, or 17 years), medication (Olanzapine or Sodium Valproate), and primary diagnosis (Psychotic, non-Psychotic or Functional/behavioural disorders) were investigated. Together, males and females experienced a mean BMI increase of 2.22 m/kg2 over the 50-month period. For females, BMI increased from 25.69 m/kg2 to 30.31 m/kg2 , and for males, reduced from 25.01 m/kg2 to 23.95 m/kg2 . From 30 to 50 months, a plateau was observed for females and a reduction in BMI observed for males. Psychotic disorders in males (β 3.87; CI 1.1-6.7) were associated with the greatest rate of BMI change. For medication, Olanzapine in females was associated with the greatest rate of change (β1.78; CI -.89-4.47). This is the first longitudinal study exploring longitudinal BMI change for adolescent inpatients. Results highlight that individual differences in adolescent inpatients result in differing levels of risk to weight gain in secure care. Specifically, males with psychotic disorders and females taking Olanzapine present the greatest risk of weight gain. This has implications for the prioritisation of interventions for those most at risk of weight gain.

Prenatal single and combined exposure to phthalates associated with girls’ BMI trajectory in the first six years

Evidence of the influence of prenatal phthalate exposure on childhood longitudinal obesity markers is limited. Nested on the Ma’anshan birth cohort study, 990 mother-daughter pairs were included. Seven phthalate metabolites were determined in urine collected in each trimester. Each child underwent a physical examination from birth to 6 years of age twelve times. Latent class growth models were used to identify three trajectories of girls’ body mass index (BMI). Logistic regression, quantile g-computation and Bayesian kernel machine regression models analyzed the relationships of prenatal exposure to individual and mixed phthalates with girls’ body mass index (BMI) trajectory. Compared to the “lowest trajectory” class, prenatal average concentrations of mono(2-ethyl-5-hydroxyhexyl) phthalate (MEHHP, ORcrude = 2.095, 95 % CI = 1.014–4.328) and di(2-ethylhexyl) phthalate (DEHP, ORcrude = 2.336, 95 % CI = 1.022–5.338) during pregnancy were associated with an increased probability of being in the “highest trajectory” class. The average concentration of DEHP (ORcrude = 1.879, 95 % CI = 1.002–3.522) was associated with an increased probability of being in the “moderate trajectory” class. Stratified analyses by trimester of pregnancy mainly showed that third-trimester exposure to monoethyl phthalate (MEP, ORadjusted = 1.584, 95 % CI = 1.094–2.292), mono(2-ethyl-5-oxohexyl) phthalate (MEOHP, ORadjusted = 2.885, 95 % CI = 1.367–6.088), MEHHP (ORadjusted = 2.425, 95 % CI = 1.335–4.407), DEHP (ORadjusted = 2.632, 95 % CI = 1.334–5.193) and high molecular weight phthalate (ORadjusted = 2.437, 95 % CI = 1.239–4.792) was associated with an increased probability of being in the “highest trajectory” class. However, the mixture of phthalates was not significantly related to the girl’s BMI trajectory. In conclusion, in utero exposure to phthalates, including MEP and DEHP metabolites (MEHHP and MEOHP), was significantly associated with early childhood high BMI trajectories in girls. The third trimester of pregnancy seemed to be the window of vulnerability to phthalate exposure for girls’ high BMI trajectory at periods of prenatal development. No evidence supported a significant relationship between combined exposure to phthalate metabolites and girls’ high BMI trajectory.

Body mass index trajectories, weight gain and risks of liver and biliary tract cancers.

BackgroundLittle is known about the role of early obesity or weight change during adulthood in the development of liver cancer and biliary tract cancer (BTC).MethodsWe investigated the associations of body mass index (BMI) and weight trajectories with the risk of liver cancer and BTC in the Prostate, Lung, Colorectal and Ovarian Cancer Screening Trial. BMI was self-reported at ages 20 years and 50 years and at enrollment. BMI trajectories were determined using latent class growth models. Cox regression was used to estimate hazard ratios (HRs) and 95% confidence intervals (CIs).ResultsDuring a median follow-up of 15.9 years among 138 922 participants, 170 liver cancer and 143 BTC cases were identified. Compared with those whose BMI did not exceed 25 kg/m2, participants with BMI exceeding 25 kg/m2 at age 20 years had increased risks of liver cancer (HR = 2.03, 95% CI = 1.26 to 3.28) and BTC (HR = 1.99, 95% CI = 1.16 to 3.39). Compared with participants maintaining normal BMI until enrollment, trajectory of normal weight at age 20 years to obesity at enrollment was associated with increased risk for liver cancer (HR = 2.50, 95% CI = 1.55 to 4.04) and BTC (HR = 1.83, 95% CI = 1.03 to 3.22). Compared with adults with stable weight (±5 kg) between age 20 years and 50 years, weight gain of 20 kg and greater between ages 20 years and 50 years had higher hazard ratios of 2.24 (95% CI = 1.40 to 3.58) for liver cancer and 1.86 (95% CI = 1.12 to 3.09) for BTC.ConclusionsBeing overweight and/or obese at age 20 years and BMI trajectories that result in being overweight and/or obese may increase risk for both liver cancer and BTC.

Body mass index trajectories and mortality in community-dwelling older adults: population-based cohort study

ObjectiveBoth low and high body mass index (BMI) have been associated with greater mortality in older adults. This study aimed to evaluate the trajectory of BMI in the final years...

New-onset Obesity After Lung Transplantation: Incidence, Risk Factors, and Clinical Outcomes.

Lung transplant (LTx) recipients who gain weight after transplantation may experience an upward shift in body mass index (BMI) that places them in the obese category. The incidence, risk factors, and impact on metabolic health and mortality of new-onset obesity have not been documented in the LTx setting. This single-center retrospective study included 564 LTx recipients. Individuals were stratified according to their BMI trajectories from pretransplant evaluation up to 10 y posttransplant. New-onset obesity was defined as a pretransplant BMI <30 kg/m 2 and posttransplant BMI >30 kg/m 2 . The incidence, risk factors, and posttransplant diabetes mellitus, metabolic syndrome, and mortality of recipients with new-onset obesity were compared with those of nonobese (BMI <30 kg/m 2 , pre/post-LTx), consistently obese (BMI >30 kg/m 2 , pre/post-LTx), and obese recipients with weight loss (BMI >30 kg/m 2 pre-LTx, BMI <30 kg/m 2 post-LTx). We found that 14% of recipients developed obesity after transplantation. Overweight individuals (odds ratio [OR]: 9.01; 95% confidence interval [CI] [4.86-16.69]; P < 0.001) and candidates with chronic obstructive pulmonary disease (OR: 6.93; 95% CI [2.30-20.85]; P = 0.001) and other diagnoses (OR: 4.28; 95% CI [1.22-14.98]; P = 0.023) were at greater risk. Multivariable regression analysis showed that new-onset obesity was associated with a greater risk of metabolic syndrome (hazard ratio: 1.70; 95% CI [1.17-2.46]; P = 0.005), but not of posttransplant diabetes mellitus, than nonobesity. Recipients with new-onset obesity had a survival comparable to that of consistently obese individuals. A greater understanding of the multifaceted nature of post-LTx obesity may lead to interventions that are better tailored to the characteristics of these individuals.

Cord blood leptin level and a common variant of its receptor as determinants of the BMI trajectory: The EDEN mother-child cohort.

Cord blood leptin is an indicator of neonatal fat mass and could shape postnatal adiposity trajectories. Investigating genetic polymorphisms of the leptin receptor gene (LEPR) could help understand the mechanisms involved. We aimed to investigate the association of cord blood leptin level and the LEPR rs9436303 polymorphism, with body mass index (BMI) at adiposity peak (AP) and age at adiposity rebound (AR). In the EDEN cohort, BMI at AP and age at AR were estimated with polynomial mixed models, for 1713 and 1415 children, respectively. Multivariable linear regression models allowed for examining the associations of cord blood leptin level and LEPR rs9436303 genotype with BMI at AP and age at AR adjusted for potential confounders including birth size groups. We also tested interactions between cord blood leptin level and rs9436303 genotype. Increased leptin level was associated with reduced BMI at AP and early age at AR (comparing the highest quintile of leptin level to the others). Rs9436303 G-allele carriage was associated with increased BMI at AP and later age at AR but did not modulate the association with leptin level. These results illustrate the role of early life body composition and the intrauterine environment in the programming of adiposity in childhood.

Abstract 5934: Weight loss and subsequent cancer diagnosis: A prospective cohort study

Abstract Background: Weight loss is a common symptom in patients with cancer. However, little is known about how much weight loss and over what time period weight loss precedes cancer diagnosis. Herein, we evaluate the association between weight loss and subsequent 2-year cancer diagnosis using repeatedly measured weight data in two large prospective cohorts. Methods: The analysis included 111,891 US women from the Nurses’ Health Study and 45,498 US men from the Health Professional Follow-up Study, who were enrolled in 1978 and 1988, respectively, and followed through 2012, and who were cancer-free and ≥40 years old at study entry. Current weight and lifestyle information were assessed every 2 years by questionnaire, and weight change in the previous 2 years was calculated by comparing two consecutive questionnaires. Cox proportional hazards regression was used to estimate hazard ratios (HRs) and 95% confidence intervals (95% CIs) for subsequent risk of cancer diagnosis according to weight change percentage. We also examined 20-year trajectories of body mass index (BMI) before cancer diagnosis. Results: During 4.1 million person-years of follow-up, we documented 30,441 incident cancers. Participants with recent weight loss were at increased risk for cancer diagnosis in the subsequent 2 years (Ptrend &amp;lt;0.0001). Compared with participants without weight loss, those who had a weight loss of 5-10% or &amp;gt;10% had a multivariable-adjusted HR for total cancer of 1.09 (95% CI, 1.04-1.13) and 1.17 (95% CI, 1.10-1.24), respectively. For individual cancer types, increased weight loss was associated with a subsequent cancer diagnosis of esophagus, liver, pancreas, leukemia, stomach, myeloma, lung, colorectal, and non-Hodgkin lymphoma (all Ptrend &amp;lt;0.005). Comparing participants with weight loss of &amp;gt;10% to those without weight loss, multivariable-adjusted HRs were 4.22 (95% CI, 2.50-7.13) for esophageal cancer, 3.30 (95% CI, 1.65-6.61) for liver cancer, 2.46 (95% CI, 1.84-3.30) for pancreatic cancer, 2.40 (95% CI, 1.59-3.61) for leukemia, 2.26 (95% CI, 1.32-3.87) for stomach cancer, 1.80 (95% CI, 1.14-2.83) for myeloma, 1.45 (95% CI, 1.22-1.73) for lung cancer, 1.38 (95% CI, 1.14-1.66) for colorectal cancer, and 1.35 (95% CI, 1.06-1.72) for non-Hodgkin lymphoma. The 20-year trajectory of BMI indicated that most weight loss occurred in the 2 years before cancer diagnosis, with the magnitude of weight loss increasing closer to the time of subsequent cancer diagnosis. Conclusion: Recent weight loss of &amp;gt;10% predicts elevated risk of cancer diagnosis in the forthcoming 2 years, particularly for cancers of the upper gastrointestinal tract, hematological system, colorectum, and lung. Citation Format: Qiao-Li Wang, Ana Babic, Michael H. Rosenthal, Alice A. Lee, Yin Zhang, Xuehong Zhang, Mingyang Song, Leandro F. Rezende, Dong Hoon Lee, Leah Biller, Kimmie Ng, Andrew T. Chan, Meir J. Stampfer, Edward L. Giovannucci, Peter Kraft, Chen Yuan, Brian M. Wolpin. Weight loss and subsequent cancer diagnosis: A prospective cohort study [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2022; 2022 Apr 8-13. Philadelphia (PA): AACR; Cancer Res 2022;82(12_Suppl):Abstract nr 5934.

The impact of anorexia nervosa and BMI polygenic risk on childhood growth: A 20-year longitudinal population-based study

SummaryGrowth deviating from the norm during childhood has been associated with anorexia nervosa (AN) and obesity later in life. In this study, we examined whether polygenic scores (PGSs) for AN and BMI are associated with growth trajectories spanning the first two decades of life. AN PGSs and BMI PGSs were calculated for participants of the Avon Longitudinal Study of Parents and Children (ALSPAC; n = 8,654). Using generalized (mixed) linear models, we associated PGSs with trajectories of weight, height, body mass index (BMI), fat mass index (FMI), lean mass index (LMI), and bone mineral density (BMD). Female participants with AN PGSs one standard deviation (SD) higher had, on average, 0.004% slower growth in BMI between the ages 6.5 and 24 years and a 0.4% slower gain in BMD between the ages 10 and 24 years. Higher BMI PGSs were associated with faster growth for BMI, FMI, LMI, BMD, and weight trajectories in both sexes throughout childhood. Female participants with both a high AN PGS and a low BMI PGS showed slower growth compared to those with both a low AN PGS and a low BMI PGS. We conclude that AN PGSs and BMI PGSs have detectable sex-specific effects on growth trajectories. Female participants with a high AN PGS and low BMI PGS likely constitute a high-risk group for AN, as their growth was slower compared to their peers with high PGSs on both traits. Further research is needed to better understand how the AN PGS and the BMI PGS co-influence growth during childhood and whether a high BMI PGS can mitigate the effects of a high AN PGS.