Antibiotic exposure and risk of overweight/obesity in school children: A multicenter, case-control study from China

Juan Li1, Bin Wang2, Shijian Liu3

  • 1Department of Developmental and Behavioral Pediatrics, Shanghai Children's Medical Center, School of Medicine, Shanghai Jiao Tong University, Shanghai 200127, China.

Insights

Antibiotic exposure, particularly from veterinary sources via food and water, is linked to increased childhood adipogenesis. This study found higher veterinary antibiotic levels in overweight children, suggesting a potential risk factor for obesity.

Area of Science:

  • Environmental Health
  • Pediatric Endocrinology
  • Toxicology

Background:

  • Antibiotic use in early life is linked to adipogenesis.
  • The impact of diverse antibiotic exposure routes on childhood adiposity remains unclear.

Purpose of the Study:

  • To investigate the association between urinary antibiotic biomarkers and the risk of adipogenesis in school-aged children.
  • To explore the relationship between exposure to various antibiotic classes and childhood overweight/obesity.

Main Methods:

  • A case-control study involving 410 overweight/obese children and 410 controls (aged 6-9 years) in China.
  • Measurement of 45 urinary antibiotics from 8 categories using ultra-performance liquid chromatography-tandem mass spectrometry.
  • Conditional logistic regression analysis to determine odds ratios for overweight/obesity.

Main Results:

  • 32 antibiotics were detected in 92.93% of urine samples.
  • Overweight/obese children exhibited higher levels of veterinary antibiotics.
  • Elevated florfenicol and phenicol levels were associated with increased overweight/obesity risk, particularly in boys.

Conclusions:

  • Veterinary antibiotic exposure, likely from food/water, is associated with increased adipogenesis risk in children.
  • Further research is required to validate these findings and elucidate the mechanisms involved.
Abstract

Related Concept Videos

Obesity01:24

Obesity

The Body Mass Index (BMI) is a numerical value derived from a person's weight and height, used to categorize individuals into weight ranges. It is calculated using the formula: weight in kilograms divided by height in meters squared. Obesity is a health condition characterized by excessive accumulation of adipose tissue that poses health risks, often diagnosed with a BMI ≥ 30. This excess fat storage occurs when surplus dietary calories are converted into triglycerides and stored in...
633
Attention-Deficit/Hyperactivity Disorder01:30

Attention-Deficit/Hyperactivity Disorder

Attention-deficit/hyperactivity disorder (ADHD) is a neurodevelopmental disorder characterized by persistent inattention, hyperactivity, and impulsivity. It affects approximately 5-8% of children globally, with around 60-70% of cases persisting into adulthood. ADHD has significant implications for educational attainment, social interactions, and occupational success.
Diagnostic Criteria and Symptoms
To diagnose ADHD, symptoms must manifest before age 12 and be evident across multiple settings....
320
Antibiotic Selection00:57

Antibiotic Selection

Overview
55.4K
Bulimia Nervosa01:30

Bulimia Nervosa

Bulimia nervosa is a complex and severe eating disorder characterized by a cyclical pattern of binge-and-purge eating pattern. It generally involves an episode of binge eating, followed by compensatory behaviors such as vomiting, excessive exercise, laxative use, or fasting, to prevent weight gain. Despite often maintaining a normal weight, individuals with bulimia are intensely preoccupied with their body image and harbor an overwhelming fear of gaining weight. This can contribute to the...
213
Bias in Epidemiological Studies01:29

Bias in Epidemiological Studies

Biases can arise at various stages of research, from study design and data collection to analysis and interpretation. Recognizing and addressing these biases is essential to ensure the validity and reliability of epidemiological findings.Broadly speaking, biases in epidemiology fall into three main categories: selection bias, information bias, and confounding. A more detailed description of possible biases is:  
713