Distinct Body Mass Index Trajectories Research Articles

Associations of early childhood body mass index trajectories with body composition and cardiometabolic markers at age 10 years: the Ethiopian infant anthropometry and body composition (iABC) birth cohort study

BackgroundVariability in body mass index (BMI) (kg/m2) trajectories is associated with body composition and cardiometabolic markers in early childhood, but it is unknown how these associations track to later childhood. ObjectivesWe aimed to assess associations of BMI trajectories from 0 to 5 y with body composition and cardiometabolic markers at 10 y. MethodsIn the Ethiopian infant anthropometry and body composition (iABC) birth cohort, we previously identified 4 distinct BMI trajectories from 0 to 5 y: stable low BMI (19.2%), normal BMI (48.8%), rapid growth to high BMI (17.9%), and slow growth to high BMI (14.1%). At 10 y, we obtained data from 320 children on anthropometry, body composition, abdominal subcutaneous and visceral fat, and cardiometabolic markers. Associations of BMI trajectories and 10-y outcomes were analyzed using multiple linear regression. ResultsCompared with children with the normal BMI trajectory, those with rapid growth to high BMI had 1.7 cm (95% CI: 0.1, 3.3) larger waist circumference and those with slow growth to high had 0.63 kg/m2 (95% CI: 0.09, 1.17) greater fat mass index and 0.19 cm (95% CI: 0.02, 0.37) greater abdominal subcutaneous fat, whereas those with stable low BMI had −0.28 kg/m2 (95% CI: −0.59, 0.03) lower fat-free mass at 10 y. Although the confidence bands were wide and included the null value, children with rapid growth to high BMI trajectory had 48.6% (95% CI: −1.4, 123.8) higher C-peptide concentration and those with slow growth to high BMI had 29.8% (95% CI: −0.8, 69.8) higher insulin and 30.3% (95% CI: −1.1, 71.6) higher homeostasis model assessment of insulin resistance, whereas those with rapid growth to high BMI had −0.23 mmol/L (95% CI: −0.47, 0.02) lower total cholesterol concentration. The trajectories were not associated with abdominal visceral fat, blood pressure, glucose, and other lipids at 10 y. ConclusionsChildren with rapid and slow growth to high BMI trajectories before 5 y tend to show higher measures of adiposity and higher concentrations of markers related to glucose metabolism at 10 y. Clinical Trial RegistryISRCTN46718296 (https://www.isrctn.com/ISRCTN46718296).

Trajectories of Body Mass Index and Risk for Diabetes Complications and All-Cause Mortality in Finnish Type 2 Diabetes Patients.

We aimed to assess how longitudinal body mass index (BMI) trajectories are associated with diabetes complications and all-cause mortality in Finnish patients with type 2 diabetes (T2D). In this cohort study, electronic health records from public primary and specialized healthcare services in all 13 municipalities of North Karelia, Finland, were utilized. This study included a total of 889 adults with newly diagnosed T2D in 2011 or 2012 (mean age at baseline 62.0 years). Individual BMI trajectories from the T2D diagnosis until 2014 were estimated and grouped by growth mixture modeling (GMM). Hazard ratios (HRs) with 95% confidence intervals (CIs) for microvascular complications, macrovascular complications, any diabetes complications, and all-cause mortality from 2015 to 2022 across BMI trajectory groups were estimated using Cox regression models. Three distinct BMI trajectory groups were identified using GMM and labeled as follows: "stable" (n = 774, 87.1%), "decreasing" (n = 87, 9.8%), and "increasing" (n = 28, 3.1%). During a median follow-up of 8 years, there were 119 (13.3%) patients with microvascular complications, 187 (21.0%) with macrovascular complications, 258 (29.0%) with any diabetes complications, and 180 (20.2%) deaths. Compared with the "stable" BMI, the "increasing" BMI was associated with an increased risk of microvascular complications (HR = 2.88, 95% CI: 1.32 to 6.28), macrovascular complications (HR = 2.52, 95% CI: 1.17 to 5.43), and any diabetes complications (HR = 2.21, 95% CI: 1.16 to 4.20). The "decreasing" BMI was associated with an increased risk of all-cause mortality (HR = 1.90, 95% CI: 1.14 to 3.15), compared to the "stable" BMI. Our findings underscore the significance of continuous BMI monitoring and weight management in patients with T2D. Tailored treatments are crucial for efficiently preventing weight gain and reducing the risk of diabetes complications.

Early life cardiovascular risk factor trajectories and vascular aging in midlife: a 30-year prospective cohort study

Abstract Background Vascular aging, as assessed by structural and functional arterial properties, is an independent predictor of cardiovascular outcomes. We aimed to explore the associations of individual cardiovascular risk factors from childhood to midlife and their accumulation over a 30-year span with vascular aging in midlife. Methods Using data from the ongoing cohort of Hanzhong Adolescent Hypertension study, 2180 participants aged 6 to 18 years at baseline were followed for over 30 years. Distinct trajectories of systolic blood pressure (SBP), body mass index (BMI), and heart rate (HR) from childhood to midlife were identified by group-based trajectory modeling. Vascular aging was assessed by carotid intima–media thickness (cIMT) or brachial-ankle pulse wave velocity (baPWV). Results We identified 4 distinct SBP trajectories, 3 distinct BMI trajectories and 2 distinct HR trajectories from childhood to midlife. Persistently-increasing SBP, high-increasing BMI, and high-stable HR were all shown to have a positive association with baPWV in midlife. For cIMT, similar associations were observed for persistently-increasing SBP and high-increasing BMI. After further adjustment for SBP, BMI and HR at the time of vascular assessment in 2017, associations were also observed for cardiovascular risk factor trajectories accumulation with baPWV (β=0.656 (95%CI, 0.265-1.047)] and with cIMT [β=0.045 (95%CI, 0.011-0.079)] in adulthood. Conclusions Longitudinal exposure to individual cardiovascular risk factors from childhood to midlife and cardiovascular risk factor accumulation were associated with an increased risk of vascular aging in midlife. Our study lends support for early targeting of risk factors in order to prevent cardiovascular disease later in life.Long-term SBP, BMI, HR trajectories

Body Mass Index Trajectories in Children Exposed to Gestational Diabetes in Utero: A Nationwide Register-based Study.

Children exposed to gestational diabetes mellitus (GDM) in utero are at high risk of developing overweight and obesity, but their postnatal growth trajectories and risk profiles remain unclear. We aimed to identify distinct body mass index (BMI) trajectories from birth to 10 years of age in children exposed to GDM and to explore their associations with infant and maternal characteristics. This nationwide cohort study linked data from Danish registries on 15 509 children exposed to GDM in utero, born in Denmark from January 2008 to October 2019. We applied latent class trajectory modeling to identify distinct BMI trajectories. Associations of BMI trajectories with infant and maternal characteristics were analyzed using multiple linear regression. We identified 3 distinct BMI trajectories characterized by a "normal" (60%), a "late accelerating" (28%) and an "early accelerating" (12%) BMI trajectory, the 2 latter at risk of overweight and obesity, respectively, at age 10 years, relative to World Health Organization child growth standards. Children in the "late accelerating" BMI trajectory were more often born large for gestational age (P < .001). More children in the "early accelerating" BMI trajectory were boys, born small for gestational age, and had mothers with a higher pre-pregnancy BMI compared to the other groups (P < .001). Children exposed to GDM in utero differ widely in their BMI trajectory. The detection of risk profiles based on early BMI growth and infant and maternal characteristics provides an opportunity for future targeted care and prevention.

EARLY LIFE CARDIOVASCULAR RISK FACTOR TRAJECTORIES AND VASCULAR AGING IN MIDLIFE: A 30-YEAR PROSPECTIVE COHORT STUDY

Objective: Vascular aging, as assessed by structural and functional arterial properties, is an independent predictor of cardiovascular outcomes. We aimed to explore the associations of individual cardiovascular risk factors from childhood to midlife and their accumulation over a 30-year span with vascular aging in midlife. Design and method: Using data from the ongoing cohort of Hanzhong Adolescent Hypertension study, 2180 participants aged 6 to 18 years at baseline were followed for over 30 years. Distinct trajectories of systolic blood pressure (SBP), body mass index (BMI), and heart rate (HR) from childhood to midlife were identified by group-based trajectory modeling. Vascular aging was assessed by carotid intima–media thickness (cIMT) or brachial-ankle pulse wave velocity (baPWV). Results: We identified 4 distinct SBP trajectories, 3 distinct BMI trajectories and 2 distinct HR trajectories from childhood to midlife. Persistently-increasing SBP, high-increasing BMI, and high-stable HR were all shown to have a positive association with baPWV in midlife. For cIMT, similar associations were observed for persistently-increasing SBP and high-increasing BMI. After further adjustment for SBP, BMI and HR at the time of vascular assessment in 2017, associations were also observed for cardiovascular risk factor trajectories accumulation with baPWV (↓ = 0.656 (95%CI, 0.265 - 1.047)] and with cIMT [↓ = 0.045 (95%CI, 0.011 - 0.079)] in adulthood. Conclusions: Longitudinal exposure to individual cardiovascular risk factors from childhood to midlife and cardiovascular risk factor accumulation were associated with an increased risk of vascular aging in midlife. Our study lends support for early targeting of risk factors in order to prevent cardiovascular disease later in life.

Trajectories of body mass index and risk of hypertension and blood pressure among Chinese adults

To explore the relationship between trajectories of body mass index(BMI) and the risk of hypertension and blood pressure among Chinese adults. The current study was based on data from 10 waves of the China Health and Nutrition Survey from 1991 to 2018. A multistage stratified random sample was used in this study.11885 adults whose BMI had been measured at least three times were included in the study. Group-based trajectory modeling(GBTM) was used to identify the BMI trajectories in different genders, Cox regression model was used to analyze the association between BMI trajectories and the risk of incident hypertension. Generalized linear model was used to analyze the association between BMI trajectories and the blood pressure level. Three distinct BMI trajectories were determined for both genders: normal-stable group, normal-overweight group, obesity-stable group. The numbers of each group among males were 3595(63.23%), 1412(24.83%) and 679(11.94%), and the numbers of each group among females were 4566(73.66%), 1214(19.58%) and 419(6.76%). Taking the normal-stable group as a reference, after adjusting for confounding factors, the normal-overweight group, obesity-stable group had 1.14(1.03-1.25), P=0.01 and 1.42(1.24-1.63), P&lt;0.01 increased risk(HR(95% CI)) of developing hypertension in male. The normal-overweight group, obesity-stable group had 1.29(1.13-1.46), P&lt;0.01 and 1.58(1.23-2.03), P&lt;0.01 increased risk of developing hypertension in female. Taking the normal-stable group as a reference, after adjusting for confounding factors, the systolic blood pressure[β(95% CI)] in the male normal-overweight group and obesity-stable group increased by 3.01(1.88-4.14)mmHg, P&lt;0.01 and 5.44(3.85-7.03)mmHg, P&lt;0.01 respectively. The diastolic blood-pressure level was increased by 2.20(1.48-2.91)mmHg, P&lt;0.01 and 4.04(3.04-5.04)mmHg, P&lt;0.01 respectively. The systolic blood pressure in the female normal-overweight group and obesity-stable group were increased by 3.65(2.44-4.85)mmHg, P&lt;0.01 and 2.96(0.97-4.94)mmHg, P&lt;0.01 respectively. The diastolic blood pressure level was increased by 3.11(2.38-3.86)mmHg, P&lt;0.01 and 1.25(0.03-2.47)mmHg, P=0.05 respectively. Both the trajectory of BMI increasing with age and the trajectory of maintaining a high BMI level increased the risk of hypertension, and blood pressure also increased significantly compared with those who maintained normal BMI.

Early-Life Cardiovascular Risk Factor Trajectories and Vascular Aging in Midlife: A 30-Year Prospective Cohort Study.

Vascular aging, as assessed by structural and functional arterial properties, is an independent predictor of cardiovascular outcomes. We aimed to explore the associations of individual cardiovascular risk factors from childhood to midlife and their accumulation over a 30-year span with vascular aging in midlife. Using data from the ongoing cohort of Hanzhong Adolescent Hypertension study, 2180 participants aged 6 to 18 years at baseline were followed for over 30 years. Distinct trajectories of systolic blood pressure (SBP), body mass index (BMI), and heart rate from childhood to midlife were identified by group-based trajectory modeling. Vascular aging was assessed by carotid intima media thickness or brachial-ankle pulse wave velocity. We identified 4 distinct SBP trajectories, 3 distinct BMI trajectories, and 2 distinct heart rate trajectories from childhood to midlife. Persistently increasing SBP, high-increasing BMI, and high-stable heart rate were all shown to have a positive association with brachial-ankle pulse wave velocity in midlife. For carotid intima-media thickness, similar associations were observed for persistently increasing SBP and high-increasing body mass index. After further adjustment for SBP, body mass index and heart rate at the time of vascular assessment in 2017, associations were also observed for cardiovascular risk factor trajectories accumulation with brachial-ankle pulse wave velocity (β, 0.656 [95% CI, 0.265-1.047]) and with carotid intima media thickness (β, 0.045 [95% CI, 0.011-0.079]) in adulthood. Longitudinal exposure to individual cardiovascular risk factors from childhood to midlife and cardiovascular risk factor accumulation were associated with an increased risk of vascular aging in midlife. Our study lends support for early targeting of risk factors in order to prevent cardiovascular disease later in life.

Association between distinct body mass index trajectories according to the group‐based trajectory modeling and the risk of incident diabetes: A systematic review

We aimed to determine the association between distinct body mass index (BMI) trajectories, using group-based trajectory modeling, and the subsequent risk of incident diabetes. Five databases were systematically searched. Fourteen population-based cohort studies that summarized the association between different BMI trajectories and subsequent diabetes, with the four most common BMI trajectories including the "stable," "increasing," "decreasing," and "turning" groups, were included. The rapid increase and stable high-level BMI groups showed the strongest association with the subsequent risk of diabetes compared with the stable normal BMI group. Increased baseline BMI levels resulted in a steeper slope and greater risk of subsequent diabetes. In the decreasing BMI group, one study reported that those aged &gt;50 years showed the highest incidence of subsequent diabetes, whereas the other two studies reported no association between these two variables. In the turning group, an increase followed by a decrease in BMI levels from adolescence to late adulthood could reduce the risk of developing diabetes, although the residual risk remained. By contrast, the incidence of subsequent diabetes remained high in the middle-aged BMI-turning group. This study can provide further insights for identifying populations at high risk of diabetes and for developing targeted prevention strategies.

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

Early life body mass index trajectories and albuminuria in midlife: A 30-year prospective cohort study

SummaryBackgroundAlbuminuria is a marker of vascular dysfunction and is associated with chronic renal and cardiovascular diseases. Data on the association between the longitudinal patterns of weight change early in life and albuminuria later in life are limited. We aimed to identify the body mass index (BMI) trajectory across a 30-year span and evaluate its association with middle-age albuminuria.MethodsOf the 4623 participants aged 6–18-year-old recruited by Hanzhong Adolescent Hypertension Study cohort in northern China from March 10, 1987 to June 3, 2017, a total of 1,825 participants followed up with 6 visits over 30 years were enrolled. Group-based trajectory modeling was used to identify distinct BMI trajectories in longitudinal analyses. Albuminuria was defined as a urinary albumin-to-creatinine ratio (uACR) ≥ 30 mg/g.FindingsThree distinct BMI trajectories were identified: low-increasing (n = 671, 36.8%), moderate-increasing (n = 940, 51.5%), and high-increasing (n = 214, 11.7%); male participants exhibited a steeper increase in BMI than females. The uACR was increased linearly from the low- to high-increasing group. A total of 201 individuals developed albuminuria, with an incidence of 11.0%. Compared with the low-increasing group, the odds ratio (OR) of albuminuria in middle age was 2.13(95% confidence interval [CI]: 1.26 to 3.61) for the high-increasing group after full adjustment for age, sex, smoking, alcohol consumption, marital status, systolic blood pressure, diabetes, and hyperlipidemia. The unadjusted ORs of the high-increasing BMI group were 5.08 (2.76–9.37) for males and 3.45 (1.78–6.69) for females, and the association remained significant in males in the fully adjusted models.InterpretationHigher BMI trajectories are associated with higher uACR and an increased risk of albuminuria in middle age, especially in males. Identifying long-term BMI trajectories from an early age may assist in predicting the risk of renal diseases and cardiovascular disease later in life.FundingThis work was supported by the National Natural Science Foundation of China (81600327, 82070437, 81870319, 82070549, and 82170437), Natural Science Basic Research Program of Shaanxi Province (2021JM-257 and 2021JM-588), Institutional Foundation of the First Affiliated Hospital of Xi'an Jiaotong University (2019QN-06 and 2021ZXY-14), the Clinical Research Award of the First Affiliated Hospital of Xi'an Jiaotong University of China (XJTU1AF-CRF-2019-004, XJTU1AF2021CRF-021, and XJTU1AFCRF-2017-021), Research Incubation Fund of Xi'an People's Hospital (FZ-61), Grants from the Major Chronic Non-communicable Disease Prevention and Control Research Key Project of the Ministry of Science and Technology of China (2017YFC1307604 and 2016YFC1300104).

Abstract 051: Association Between Body Mass Index Trajectories From Early To Middle Childhood And Biomarkers Of Cardiometabolic Risk Among Children Living In Low-income And Racially/ethnically Diverse Households

Introduction: Substantial cross-sectional evidence exists supporting an association between high body mass index (BMI) during childhood and increased cardiometabolic risk factors. However, less is known about longitudinal associations of child BMI trajectories with biomarkers of cardiometabolic risk. The objective of this study was to (1) identify distinct BMI trajectories during childhood from ages 2-11 years and (2) evaluate the association of these BMI trajectories with biomarkers of cardiometabolic risk at ages 7-11 years. Methods: The analytic sample included 338 children living in low-income and racially/ethnically diverse households who participated in the NET-Works randomized intervention trial and the NET-Works 2 prospective follow-up study. BMI was measured at baseline (when children were 2-4 years of age) and again at 1-, 2-, 3- and 5-year follow-up visits. Percent of the 95 th percentile of BMI (%BMIp95) was the BMI metric calculated at each time point. At the 5-year follow-up visit, children (aged 7 to 11 years) completed assessments for carotid to anterior tibial artery pulse wave velocity (PWV), C-reactive protein (CRP), leptin, adiponectin, and oxidized low-density lipoprotein (oxLDL). Group-based trajectory modeling was used to identify child %BMIp95 trajectory groups. Adjusted linear regressions evaluated the associations between %BMIp95 trajectory groups and PWV, CRP, leptin, adiponectin, and oxLDL. Results: We identified two trajectory groups: (1) 75% of children had a moderate-decreasing trajectory (baseline BMI was below the 95th percentile of BMI and followed a moderate-decreasing trajectory over time), and (2) 25% had a marked-increasing trajectory (baseline BMI was above the 95th percentile of BMI and followed a steep increase over time). Relative to children in the moderate-decrease trajectory group, children in the marked-increase trajectory group had higher mean adjusted CRP (3.3 mg/L, 95% CI [1.6, 4.9]) and leptin (62.5 ng/mL, 95% CI [44.0, 80.9]), and lower levels of adiponectin (-1.4 μg/mL, 95% CI [-2.5, -0.1]). Differences in PWV and oxLDL were small and not statistically significant. Conclusions: Two unique BMI trajectories were observed among children living in low-income and racially/ethnically diverse households. Compared to children with steady BMI decrease over time, those with steady BMI increase over time had a higher baseline BMI and adverse inflammatory and adipokine profiles later in childhood. However, we found no evidence of differences in arterial stiffness, which could develop later in adolescence or adulthood. This study provides additional objective evidence supporting the importance of early-life tracking of BMI using the %BMIp95 metric and lifestyle interventions to reduce the risk of obesity and emerging cardiometabolic risk during childhood.

Specific body mass index trajectories were related to musculoskeletal pain and mortality: 19‐year follow‐up cohort

ObjectiveWe aimed to study 19-year body mass index (BMI) patterns and their (1) bidirectional relationship with musculoskeletal pain and (2) mortality risk. Study design and SettingWe used data from the Chingford study and group-based trajectory modelling to define 19-year BMI patterns. We investigated whether baseline back, hand, hip, and knee pain (as single- and multi-site) predicted 19-year BMI trajectory, and whether 19-year BMI patterns predicted pain in year 20. We explored BMI trajectories and mortality risk over 25 years (life expectancy). ResultsWe included 938 women (mean age: year-1=54, year-20=72) and found seven distinct 19-year BMI trajectories: two normal-weighted (reference), slightly overweight, lower and upper overweight-to-obese, lower and upper obese. BMI patterns capturing the increase overweight-to-obese (BMI 27-34 overtime) were bidirectionally related to knee and multi-site pain. The lower obese pattern (BMI 33-38) was unidirectionally associated with lower limb pain. Women with BMI above 40 had an increased all-cause and cardiovascular mortality risk. ConclusionFor most postmenopausal women, the overweight WHO category was a transition. Two patterns capturing increase overweight-to-obese were mutually related to musculoskeletal pain, i.e., knee and multi-site pain contributed to becoming obese, and trajectories of becoming obese increased the odds of experiencing pain later.

Trajectories of mid-life to elderly adulthood BMI and incident hypertension: the China Health and Nutrition Survey

ObjectivesThis study is designed to identify different body mass index (BMI) trajectories of individuals aged 40–70 years and test the effect of distinct BMI trajectories on incident hypertension.DesignThe accelerated longitudinal...

BMI Trajectories During the First 2 Years, and Their Associations With Infant Overweight/Obesity: A Registered Based Cohort Study in Taizhou, China

Objective: The purpose of this study was to identify trajectories of body mass index (BMI) in toddlers from birth to 2 years old and examine their association with infantile overweight/obesity.Methods: Data were collected from 19,054 children born in any hospital or community healthcare center in Taizhou, China from 2018 to 2019 with at least three BMI measurements after birth. The Latent Class Growth Mixture Model was used to identify distinct BMI trajectories during the first 2 years of infants. Multiple logistic regression models were conducted to explore the associated factors of different BMI trajectories, and log-binomial regression was performed to assess the association between the trajectories and overweight/obesity.Results: Three heterogeneous BMI trajectories were identified and labeled as “lower” (36.21%, n = 6,899), “middle” (53.15%, n = 10,128) and “upper” (10.64%, n = 2,027), respectively. Several characteristics of infants and their corresponding mothers were found to be correlated with infant BMI trajectories, including infant sex, mode of delivery and weight at birth, as well as maternal parity, early pregnancy BMI and status of gestational diabetes mellitus. Furthermore, compared with those in the lower trajectory, infants in the middle [prevalence ratio (PR) = 2.63, 95% confidence interval (95%CI) = 2.17–2.63] or upper (PR = 2.98, 95%CI = 1.51–2.98) trajectory groups were prone to be overweight/obesity at their final observation.Conclusion: Heterogeneous BMI trajectories were observed in our study. Characteristics of both infants and their corresponding mothers could be potential determinants of infant growth. Moreover, infants in the middle and upper trajectory groups were more likely to suffer overweight/obesity.

DYNAMIC CHANGES IN CHILD-TO-ADULT BODY MASS INDEX AND METABOLIC SYNDROME IN MIDDLE AGE: 30-YEAR HANZHONG ADOLESCENT HYPERTENSION STUDY

Objective: It is well known that body mass index (BMI) developmental patterns from childhood to adulthood are diverse, but few studies have focused on the association between BMI patterns and adult metabolic syndrome. The aim of this study was to identify distinct BMI trajectories and their relationship with metabolic syndrome in the Chinese population. Design and method: This study included 4623 participants, aged 6–18 years, from the prospective Hanzhong Adolescent Hypertension Cohort Study, which was established in 1987 and followed up for over 30 years. To address BMI heterogeneity, we used latent mixture modeling to identify developmental patterns related to BMI. Poisson regression models with robust error variance were used to analyze BMI association with adult metabolic syndrome outcomes. After excluding only the first three BMI measurements and the last three BMI measurements, 2679 participants were included in the final analysis, including 1524 males and 1155 females. Results: Five distinct developmental BMI patterns were identified in this study: slightly increasing normal (25.9%), moderately increasing normal/overweight (49.9%), progressively overweight/obese (19.8%), resolving (1.8%) and rapidly overweight/obese (2.6%). Compared with the slightly increasing normal group, those who had relatively higher BMI levels had a higher risk of MetS [all risk ratios (RRs) &gt; 4.0, P &lt; 0.05]. Compared with those in the ‘progressively overweight/obese’ group, participants who resolved youth adiposity had lower risks of central obesity, triglycerides and high-density lipoprotein cholesterol [RR = 0.84 (0.68–1.04); RR = 0.86 (0.47–1.57); RR = 0.88 (0.63–1.24), respectively]. Conclusions: Our study indicated that the developmental patterns of BMI from childhood to adulthood are diverse and that adult BMI lacks stability. Obese subjects have an overall higher risk of MetS than that of subjects with normal BMI. The resolution of youth obesity may have a positive impact on lipid profiles. Early prevention and control of obesity at different stages of life is of utmost importance.

Trajectories of body mass index and risk of incident hypertension among a normal body mass index population: A prospective cohort study.

It is unclear whether there are different body mass index (BMI) trajectories among a population with normal BMI levels, and the association between BMI patterns and incident hypertension is not well characterized. This prospective cohort study includes surveys conducted at baseline and three follow‐ups. 3939 participants who are free of hypertension at baseline or first two follow‐ups were enrolled. At baseline, the age of participants ranged from 35 to 82 years and the mean age was 45.9 years. The BMI trajectories were identified using latent mixture modeling with data from the baseline and first two follow‐ups. The effects of different BMI trajectories on the development of hypertension were analyzed using a Cox proportional hazard model. Four distinct BMI trajectories were identified over the study period (2004‐2010): normal‐stable (n = 1456), normal‐increasing (n = 2159), normal‐fluctuated (n = 166), and normal‐sharp‐increasing (n = 158). Relative to the normal‐stable BMI group, the hazard ratios (HRs) and 95% confidence intervals (CIs) after adjustment for confounding factors of the normal‐increasing, normal‐fluctuated, and normal‐sharp‐increasing groups were 1.244 (1.103‐1.402), 1.331 (1.008‐1.756), and 1.641 (1.257‐2.142), respectively. Additionally, subgroup analysis showed that the normal‐fluctuated BMI trajectory was associated with a significantly higher risk of hypertension only in women (HR = 1.362; 95% CI = 1.151‐1.611). The BMI trajectories were significant predictors of hypertension incidence, and increasing BMI trajectories within the currently designated normal range were associated with an increased hypertension risk, especially in women.

Distinct Body Mass Index Trajectories to Young-Adulthood Obesity and Their Different Cardiometabolic Consequences.

[Figure: see text].

Body Mass Index Trajectories in the First 5 Years and Associated Antenatal Factors.

Background: The increasing prevalence of childhood obesity is an important public health issue and the development of obesity in early life and associated risk factors need to be better understood. The aim of this study was to identify distinct body mass index trajectories in the first 5 years of life and to examine their associations with factors identified in pregnancy, including metabolic parameters.Methods: BMI measurements from 2,172 children in Ireland enrolled in the BASELINE cohort study with BMI assessments at birth, 2, 6, and 12 months, and 2 and 5 years were analyzed. Growth mixture modeling was used to identify distinct BMI trajectories, and multivariate multinomial logistic regression was used to assess the association between these trajectories and antenatal factors.Results: Three distinct BMI trajectories were identified: normal (89.6%); rapid gain in the first 6 months (7.8%); and rapid BMI after 12 months (2.6%). Male sex and higher maternal age increased the likelihood of belonging to the rapid gain in the first 6 months trajectory. Raised maternal BMI at 15 weeks of pregnancy and lower cord blood IGF-2 were associated with rapid gain after 1 year.Conclusion: Sex, maternal age and BMI, and IGF-2 levels were found to be associated with BMI trajectories in early childhood departing from normal growth. Further research and extended follow-up to examine the effects of childhood growth patterns are required to understand their relationship with health outcomes.

Child-to-adult body mass index trajectories and the risk of subclinical renal damage in middle age.

Although it is well established that obesity is a risk factor for chronic kidney disease, the impact of distinct long-term body mass index (BMI) developmental patterns on renal function in later life is poorly understood. This study utilized data derived from the Hanzhong Adolescent Hypertension Cohort, a prospective cohort followed over 30 years. We used latent class growth mixture modeling method to identify the BMI trajectories of participants who had received BMI measurements at least three times from childhood (age: 6-15 years) to adulthood (age: 36-45 years). The modified Poisson regression model was used to identify potential associations between BMI trajectories and subclinical renal damage (SRD) in midlife. Within a total of 2162 individuals, we identified four distinct long-term BMI trajectories: stable normal (54.72%), moderately increasing overweight (32.42%), resolving (10.27%), and progressively increasing obese (2.59%). By the latest follow-up in 2017, a total of 257 (13.1%) individuals were diagnosed with SRD. Compared with the stable normal group, the moderately increasing overweight group and the progressively increasing obese group exhibited significantly a higher urinary albumin-to-creatinine ratio and a higher odd of existing SRD in 2017 (risk ratio [RR], 1.70 [95% confidence interval (CI), 1.33-2.19] and 4.35 [95% CI, 3.00-6.30], respectively). However, individuals who resolved their elevated BMI in early life had a similar risk for SRD as those who had never been obese or overweight (RR, 1.17 [95% CI, 0.77-1.79]). Child-to-adult BMI trajectories that worsen or persist at high levels were associated with an increased risk for SRD in midlife. Maintaining a normal BMI or reversing an elevated BMI in early life may be beneficial to renal function over the long term.

Latent Class Trajectory Modeling of Adult Body Mass Index and Risk of Obesity-Related Cancer: Findings from the Melbourne Collaborative Cohort Study.

Obesity increases the risk of 13 cancer types. Given the long process of carcinogenesis, it is important to determine the impact of patterns of body mass over time. Using data from 30,377 participants in the Melbourne Collaborative Cohort Study, we identified body mass index (BMI) trajectories across adulthood and examined their association with the risk of obesity-related cancer. Participants completed interviews and questionnaires at baseline (1990-1994, age 40-69 years), follow-up 1 (1995-1998), and follow-up 2 (2003-2005). Body mass was recalled for age 18 to 21 years, measured at baseline, self-reported at follow-up 1, and measured at follow-up 2. Height was measured at baseline. Cancer diagnoses were ascertained from the Victorian Cancer Registry and the Australian Cancer Database. A latent class trajectory model was used to identify BMI trajectories that were not defined a priori. Cox regression was used to estimate HRs and 95% confidence intervals (CI) of obesity-related cancer risks by BMI trajectory. Six distinct BMI trajectories were identified. Compared with people who maintained lower normal BMI, higher risks of developing obesity-related cancer were observed for participants who transitioned from normal to overweight (HR, 1.29; 95% CI, 1.13-1.47), normal to class I obesity (HR, 1.50; 95% CI, 1.28-1.75), or from overweight to class II obesity (HR, 1.66; 95% CI, 1.32-2.08). Our findings suggest that maintaining a healthy BMI across the adult lifespan is important for cancer prevention. Categorization of BMI by trajectory allowed us to identify specific risk groups to target with public health interventions.