Association between early-life factors and cardiometabolic risk factors in children and adolescents

JIANG Jianuo; ZHANG Yi; CHEN Li; LIU Jieyu; YUAN Wen; GUO Tongjun; MA Jun; DONG Yanhui

doi:10.16835/j.cnki.1000-9817.2023.10.004

Volume 44 Issue 10

Oct. 2023

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Article Navigation > CHINESE JOURNAL OF SCHOOL HEALTH > 2023 > 44(10): 1454-1458

JIANG Jianuo, ZHANG Yi, CHEN Li, LIU Jieyu, YUAN Wen, GUO Tongjun, MA Jun, DONG Yanhui. Association between early-life factors and cardiometabolic risk factors in children and adolescents[J]. CHINESE JOURNAL OF SCHOOL HEALTH, 2023, 44(10): 1454-1458. doi: 10.16835/j.cnki.1000-9817.2023.10.004

Citation:

JIANG Jianuo, ZHANG Yi, CHEN Li, LIU Jieyu, YUAN Wen, GUO Tongjun, MA Jun, DONG Yanhui. Association between early-life factors and cardiometabolic risk factors in children and adolescents[J]. CHINESE JOURNAL OF SCHOOL HEALTH, 2023, 44(10): 1454-1458. doi: 10.16835/j.cnki.1000-9817.2023.10.004

Citation:

JIANG Jianuo, ZHANG Yi, CHEN Li, LIU Jieyu, YUAN Wen, GUO Tongjun, MA Jun, DONG Yanhui. Association between early-life factors and cardiometabolic risk factors in children and adolescents[J]. CHINESE JOURNAL OF SCHOOL HEALTH, 2023, 44(10): 1454-1458. doi: 10.16835/j.cnki.1000-9817.2023.10.004

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Association between early-life factors and cardiometabolic risk factors in children and adolescents

doi: 10.16835/j.cnki.1000-9817.2023.10.004

Institute of Child and Adolescent Health/School of Public Health, Peking University, Beijing (100191), China

Received Date: 2023-06-02
Rev Recd Date: 2023-09-06

Available Online: 2023-10-27

Publish Date: 2023-10-25

Abstract

Abstract

Objective To understand the early-life factors that influence cardiometabolic risk factors in children and adolescents, so as to provide effective measures to curb cardiometabolic risk factors such as hypertension and diabetes in children and adolescents. Methods Data were sourced from the 2020 follow-up survey of the Xiamen Adolescent Development Cohort. The study involved 1 197 subjects for whom completed anthropometric examination and blood biochemistry testing data, as well as early-life data. Early-life and sociodemographic data were obtained through questionnaire surveys, while cardiometabolic indicator data were sourced through physical examinations and blood testing. Logistic regression analysis was performed to analyze the impact of early-life factors on the cardiometabolic risk factors after adjusting for gender, age, and family history. Results The prevalence rate of cardiometabolic risk factors clustering in children and adolescents in Xiamen was 17.96%, with boys (26.67%) reporting higher rates than girls (9.64%), and the difference was statistically significant (χ²=57.69, P < 0.01). For every additional early-life risk factor, the risk factors of obesity increased 0.35 times (OR=1.35, 95%CI=1.03-1.78, P < 0.05). Post-term pregnancy may be a primary early-life risk factors for cardiometabolic risk factors, and it was associated with an increased risk of cardiometabolic risk factors clustering (OR=2.45, 95% CI=1.11-5.41) and high triglycerides (OR=3.25, 95%CI=1.39-7.61)(P < 0.05). Conclusion Increased cardiometabolic risk factors in youth is associated with early-life adverse factors. It is crucial to pay greater attention to post-term pregnancy as an early-life factor and to consider obesity as a cardiometabolic risk factors. Controlling early-life adverse factors is important for the prevention of cardiovascular disease.
- Life cycle stages,
- Cardiovascular system,
- Regression analysis,
- Child,
- Adolescent

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References(28)

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