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Long-term burden of higher body mass index from childhood on adult cardiometabolic biomarkers: A 30-year cohort study
Authors:Yue-Yuan Liao  Chao Chu  Yang Wang  Wen-Ling Zheng  Qiong Ma  Jia-Wen Hu  Yu Yan  Ke-Ke Wang  Yue Yuan  Chen Chen  Jian-Jun Mu
Affiliation:1. Department of Cardiology, First Affiliated Hospital of Medical School, Xi''an Jiaotong University, Xi''an, China;2. Key Laboratory of Molecular Cardiology of Shaanxi Province, Xi''an, China;3. Xi''an Jiaotong University Medical College, First Affiliated Hospital, Xi''an Jiaotong University, 277 West Yanta Road, Xi''an, Shaanxi, 710061, China
Abstract:Background and aimsData are limited regarding the association between long-term burden of higher body mass index (BMI) from childhood and cardiometabolic biomarkers.Methods and resultsA total of 1553 individuals aged 6–15 years, who were examined 4 or more times for BMI since childhood and followed for 30 years were included in our analysis. Total area under the curve (AUCt) and incremental AUC (AUCi) were calculated as the long-term burden and trends of BMI. Cardiometabolic biomarkers including serum uric acid (SUA), fasting blood-glucose (FBG), and triglyceride to high-density lipoprotein cholesterol ratio (TG/HDL-C) were obtained from venous blood samples. The results showed a positive association of BMI AUCt and AUCi with cardiometabolic biomarkers. After adjusting for demographic variables, the AUCt and AUCi of BMI were significantly associated with a higher level of SUA (β = 3.71; 2.87), FBG (β = 0.09; 0.09), and TG/HDL-C (β = 0.14; 0.11). We performed further studies after dividing subjects into four groups according to AUCt and AUCi of BMI by quartiles. Compared with the lowest quartile group, the highest quartile group had significantly increased risk ratios of hyperuricemia (RR = 2.01; 1.74), type 2 diabetes mellitus (RR = 8.18; 3.96), and high-risk TG/HDL-C (RR = 4.05; 3.26).ConclusionOur study identifies all subjects’ BMI growth curve from childhood and indicates that the long-term burden of higher BMI significantly increases the cardiometabolic risk, and the impact of excessive body weight on cardiometabolic health originates in early life. We emphasize the importance of weight control from childhood for cardiometabolic health.
Keywords:Body mass index  Cardiometabolic biomarkers  Child-to-adult  Long-term burden  Longitudinal cohort  AUCt"  },{"  #name"  :"  keyword"  ,"  $"  :{"  id"  :"  kwrd0040"  },"  $$"  :[{"  #name"  :"  text"  ,"  _"  :"  Total area under the curve  AUCi"  },{"  #name"  :"  keyword"  ,"  $"  :{"  id"  :"  kwrd0050"  },"  $$"  :[{"  #name"  :"  text"  ,"  _"  :"  Incremental area under the curve  BMI"  },{"  #name"  :"  keyword"  ,"  $"  :{"  id"  :"  kwrd0060"  },"  $$"  :[{"  #name"  :"  text"  ,"  _"  :"  body mass index  BP"  },{"  #name"  :"  keyword"  ,"  $"  :{"  id"  :"  kwrd0070"  },"  $$"  :[{"  #name"  :"  text"  ,"  _"  :"  blood pressure  FBG"  },{"  #name"  :"  keyword"  ,"  $"  :{"  id"  :"  kwrd0080"  },"  $$"  :[{"  #name"  :"  text"  ,"  _"  :"  fasting blood-glucose  LDL-C"  },{"  #name"  :"  keyword"  ,"  $"  :{"  id"  :"  kwrd0090"  },"  $$"  :[{"  #name"  :"  text"  ,"  _"  :"  low-density lipoprotein cholesterol  SUA"  },{"  #name"  :"  keyword"  ,"  $"  :{"  id"  :"  kwrd0100"  },"  $$"  :[{"  #name"  :"  text"  ,"  _"  :"  serum uric acid  and TG/HDL-C"  },{"  #name"  :"  keyword"  ,"  $"  :{"  id"  :"  kwrd0110"  },"  $$"  :[{"  #name"  :"  text"  ,"  _"  :"  triglyceride to high density lipoprotein cholesterol ratio
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