Body mass index trajectory across childhood and subsequent risk of elevated blood pressure

Fan, Hui; Zhang, Xingyu

doi:10.1111/jch.14001

Cited by 15 publications

(10 citation statements)

References 28 publications

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“…Millions of deaths can be ascribed to obesity worldwide [3,4]. Fat mass is a direct indicator for evaluating obesity, and obesity has trajectory effects [5], and longitudinal mixed-effects and latent growth curve models are commonly used to characterize changes in body mass index (BMI) and their relationships with subsequent outcomes [6][7][8][9][10]. Excessive fat mass has an adverse effect on cardiometabolic risk factors.…”

Section: Introductionmentioning

confidence: 99%

Long-term changes in body composition and their relationships with cardiometabolic risk factors: A population-based cohort study

et al. 2021

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The aim of the present study was to classify the latent body fat trajectories of Chinese adults and their relationships with cardiometabolic risk factors. Data were obtained from the China Health Nutrition Survey for 3,013 participants, who underwent six follow-up visits between 1993 and 2009. Skinfold thickness and other anthropometric indicators were used to estimate body composition. The latent growth model was used to create fat mass to fat-free mass ratio (F2FFMR) trajectory groups. Blood pressure, fasting plasma glucose, total cholesterol, triglycerides, and high- and low-density lipoprotein–cholesterol were measured in venous blood after an overnight fast. Logistic regression was used to explore the relationships of F2FFMR trajectory with cardiometabolic risk factors. In men, four types of F2FFMR trajectory were identified. After adjustment for behavioral and lifestyle factors, age, and weight status, and compared with the Low stability group, the High stability group showed a significant association with diabetes. In women, three types of F2FFMR trajectory were identified. Compared to the Low stability group, the High stability group showed significant associations with diabetes and hypertension after adjustment for the same covariates as in men. Thus, in this long-term study we have identified three F2FFMR trajectory groups in women and four in men. In both sexes, the highly stable F2FFMR is associated with the highest risk of developing diabetes, independent of age and body mass. In addition, in women, it is associated with the highest risk of hypertension, independent of age and body mass.

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Section: Introductionmentioning

confidence: 99%

Long-term changes in body composition and their relationships with cardiometabolic risk factors: A population-based cohort study

et al. 2021

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“…However, a large-sample multi-center study showed that the blood pressure trajectory of women exhibited a steeper increase than did that of men [ 21 ]. BMI was an important modifiable factor associated with high blood pressure trajectory [ 22 ]. Participants can reduce the risk of high blood pressure trajectory by lowering their BMI.…”

Section: Discussionmentioning

confidence: 99%

Blood Pressure Trajectory and Its Influencing Factors in Chinese Adults: A Cohort Study with Long-Term Follow-Up

Yao

Wei

2022

Med Sci Monit

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Background Few studies have been reported on the factors affecting the trajectory of blood pressure in Chinese adults. This study aimed to identify the pattern of blood pressure trajectories and analyze the factors affecting different trajectories. Material/Methods A total of 749 participants were included in this study from the China Health and Nutrition Survey (CHNS) database, collected between 1989 and 2006, and were followed up until 2015. A group-based trajectory model was used to identify similar development trajectories of blood pressure levels. Univariate and multivariate logistic regression analysis was used to explore the influencing factors of blood pressure trajectories. Results Three systolic (SBP) and diastolic blood pressure (DBP) trajectory groups were identified: Group 1, “low initial blood pressure and slight rise” (SBP, n=267, 35.65%); Group 2, “low initial blood pressure and moderate rise” (SBP, n=375, 50.07%); and Group 3, “high initial blood pressure and high rise” (SBP, n=107, 14.29%). In the SBP trajectory groups, age ≥40 years, male sex, body mass index (BMI) ≥24 kg/m 2 , and the eastern region of China were associated with a rapid rise and high baseline blood pressure ( P <0.01). In terms of DBP trajectory, male sex, BMI ≥24 kg/m 2 , and the eastern region of China were also related to the rapid rise and high baseline blood pressure, while age may not affect rise rate ( P <0.01). Conclusions Different blood pressure trajectories and related influencing factors may provide information for targeted interventions, especially for people with high initial blood pressure and high rise.

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“…We used a censored normal model to fit the longitudinal data on the number of cigarettes smoked per day with a polynomial function of age. We determined the best‐fitting model using the following criteria: (1) statistical significance for the highest polynomial of age ( P < .05); (2) a large negative value for the Bayesian Information Criteria; (3) mean posterior probability > 0.7; (4) the sample size of each group accounting for > 1% of the total number of participants; and (5) interpretable results with public health implications 23,24 . For men, the best‐fitting model had four trajectories and a quadratic function of age (Table S2), with the groups labeled as “non‐smoking,” “light smoking”, “moderate smoking”, and “heavy smoking” (Figure S2).…”

Section: Methodsmentioning

confidence: 99%

Effects of smoking intensity trajectory, cumulative smoking exposure, and the number of years since quitting on the subsequent risk of hypertension

Fan

Zhang

2022

J of Clinical Hypertension

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The aim of this study was to investigate the effects of smoking intensity trajectory, cumulative smoking exposure, and the number of years since quitting on the subsequent risk of hypertension in Chinese adults. The study included 2783 men and 3416 women who participated in at least three waves of the China Health and Nutrition Survey. Information regarding smoking behavior was obtained using a standardized questionnaire. The trajectory of smoking intensity was determined using a groupbased trajectory model. The number of pack-years of smoking and the number of years since quitting were calculated. The incidence of hypertension was 18.2% and 15.5% in men and women, respectively, during a median follow-up duration of 4 years. Male participants with trajectories denoting light and moderate smoking had increased risks of hypertension compared with those with trajectories denoting non-smoking (P s < .05).Compared with male participants with 0 pack-years, those with < 5.5 pack-years had a higher risk of hypertension (P < .05). Male participants with ≥5.5 pack-years and weight gain had a higher risk of hypertension compared with those with 0 pack-years and weight loss (P < .05). However, smoking was not related to an increased risk of hypertension in women. Additionally, similar to never smoking, having quit within 2-5 years or ≥5 years was not associated with the incidence of hypertension in men.The results of this study showed that light/moderate smoking or high cumulative smoking exposure accompanied by weight gain increased the risk of hypertension in Chinese men and smoking cessation decreased this effect.

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Body mass index trajectory across childhood and subsequent risk of elevated blood pressure

Cited by 15 publications

References 28 publications

Long-term changes in body composition and their relationships with cardiometabolic risk factors: A population-based cohort study

Long-term changes in body composition and their relationships with cardiometabolic risk factors: A population-based cohort study

Blood Pressure Trajectory and Its Influencing Factors in Chinese Adults: A Cohort Study with Long-Term Follow-Up

Effects of smoking intensity trajectory, cumulative smoking exposure, and the number of years since quitting on the subsequent risk of hypertension

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