Associations between body mass index trajectories in childhood and cardiovascular risk factors in adulthood

Blond, Kim; Aarestrup, Julie; Vistisen, Dorte; Bjerregaard, Lise G.; Jensen, Gorm; Petersen, Janne; Nordestgaard, Børge G.; Jørgensen, Marit E.; Jensen, Britt W.; Baker, Jennifer L.

doi:10.1016/j.atherosclerosis.2020.10.011

Cited by 13 publications

(35 citation statements)

References 30 publications

(56 reference statements)

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“…An overview of the characteristics and quality assessment of the 14 included studies is presented in Tables 1 and S3, respectively. Ten of the 14 articles were of high quality, 24–33 whereas 4 were of fair quality 34–37 . Six studies were from China, 25–27,30,32,33 two from Australia, 31,37 two from the United States, 24,35 one from Finland, 36 one from Canada, 29 one from Austria, 28 and one from Denmark 34 .…”

Section: Resultsmentioning

confidence: 99%

“…However, its association with diabetes must also be reported. The sample populations varied across studies; two studies included young children (adolescents) to adults, 24,36 three included adolescents, 26,33,34 and the remaining studies included adults or middle‐aged and older adults 25,27–32,35,37 . Of these articles, three included details on sex: Two studies included an all‐female population, 31,37 whereas one study included an all‐male population 35 .…”

Section: Resultsmentioning

confidence: 99%

“…Two of the studies had included participants from the Australian Longitudinal Study on Women's Health, 31,37 whereas the other two studies included participants from the China Health and Nutrition Survey, 30,32 although the final sample sizes differed. Finally, two studies had short‐term (≤5 years) trajectory times, 26,27 whereas the remaining studies had a trajectory time of >10 years 24,25,28–37 …”

Section: Resultsmentioning

confidence: 99%

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

Kan

Liu

et al. 2022

Obesity Reviews

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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 >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.

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Section: Resultsmentioning

confidence: 99%

Section: Resultsmentioning

confidence: 99%

Section: Resultsmentioning

confidence: 99%

See 1 more Smart Citation

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

Kan

Liu

et al. 2022

Obesity Reviews

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“…The adverse impact of BMI on health may be presented after a long period and modified by growth. Blond et al [ 11 ] found that compared with children in the lowest BMI level, those in several higher BMI trajectories were associated with higher mean waist circumference, lower high-density lipoprotein (HDL), and higher risk of diabetes in adulthood, while these associations can be reversed when adjusting for adult BMI. In addition, lower BMI is also connected with some health problems.…”

Section: Introductionmentioning

confidence: 99%

Association of Body Mass Index with Risk of Household Catastrophic Health Expenditure in China: A Population-Based Cohort Study

Wang

Liu

2022

Nutrients

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Catastrophic health expenditure (CHE) is a major obstacle to achieving universal health coverage, and body mass index (BMI) is linked to both health and economy. We aimed to explore the association of BMI with the risk of CHE to provide advice for reducing CHE. We used national cohort data from the China Family Panel Studies, which comprised 33,598 individuals (14,607 households) from 25 provinces between 2010 to 2018. We used multivariate Cox proportional hazard models to estimate adjusted hazard ratios (aHRs) and 95% confident interval (CI) for CHE in participants at underweight, overweight, and obesity, compared with those at normal weight. Restricted cubic splines were employed to model the association of continuous BMI scale with risk of CHE. We found that families with female household heads at underweight had a 42% higher risk of CHE (aHR = 1.42, 95%CI: 1.16–1.75), and those at overweight had a 26% increased risk of CHE (aHR = 1.26, 95%CI: 1.09–1.47), compared with those at normal weight. A weak U-shaped curve for the association of continuous BMI with risk of CHE in female-headed households (p for non-linear = 0.0008) was observed, which was not significant in male-headed households (p for non-linear = 0.8725). In female-headed households, underweight and overweight BMI are connected with a higher risk of CHE. Concerted efforts should be made to keep a normal BMI to prevent CHE.

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“…By following similar study methodologies, other authors [19,20] appreciated the population profile in order to determine the risk of obesity among both young and old-aged individuals. One study [21] offered important data regarding the psycho-nutritional approach, while other papers have published relevant data regarding the pathophysiological changes [22][23][24] in the human body. Many researchers [25][26][27] used initial screening tools to analyze changes in blood pressure, fat mass, and blood fat profile, along with inflammatory status by determining interleukin 6 (IL-6), interleukin 8 (IL-8), interleukin 3 (IL-3), interleukin 10 (IL-10) and interleukin 14 (IL-14) levels.…”

Section: Introductionmentioning

confidence: 99%

Anthropometric Development in Children: Possible Changes in Body Mass, Basal Metabolic Rate and Inflammatory Status

et al. 2021

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(1) Background: Worldwide, public health policies focus on studying dietary patterns and the related anthropometric changes in children. Their aim is to improve the measures meant to reduce global malnutrition rates. Our goal was to study the main changes in the inflammatory status related to anthropometric changes and total daily energy intake. (2) Methods: We tested the study hypothesis by analyzing serum IL-6 and IL-8 levels, cholesterol and triglycerides values, as well as total proteins and creatinine levels, RMR, and food journals in a sample of 160 healthy subjects aged between 6 and 12 years old. (3) Results: IL-6 was correlated with the skinfold values. Changes in the skinfolds were significantly correlated with total proteins and triglycerides. Both weight for age and height for age were related to the skinfold values. Through the BMR measurements, peak carbohydrate metabolism changed significantly based upon IL-6 values, which were significantly correlated with the respiratory coefficient values. Based on the basal metabolic rate, an increased IL-8 ratio was related to the RQ value. (4) Conclusions: Skinfolds have been significantly correlated with IL-6 and IL-8 levels. With changes in body weight, we encountered differences in both serum cholesterol and serum triglycerides values, unlike total proteins and creatinine, which failed to change.

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Associations between body mass index trajectories in childhood and cardiovascular risk factors in adulthood

Cited by 13 publications

References 30 publications

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

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

Association of Body Mass Index with Risk of Household Catastrophic Health Expenditure in China: A Population-Based Cohort Study

Anthropometric Development in Children: Possible Changes in Body Mass, Basal Metabolic Rate and Inflammatory Status

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