The association between antibiotic use in infancy and overweight during childhood and adolescence: a historical

Eilon Heyman1, Gabriel Chodick2, Noga Fallach3

  • 1School of Public Health, Gray Faculty of Medical & Health Sciences, Tel Aviv University, Tel-Aviv, Israel.

Insights

Infant exposure to narrow-spectrum antibiotics is linked to higher body mass index (BMI) and increased childhood obesity risk. This association highlights potential long-term health implications of early antibiotic use.

Area of Science:

  • Pediatric Health
  • Microbiome Research
  • Epidemiology

Background:

  • Childhood obesity is a growing concern, with increasing scientific interest in the microbiome's role.
  • Large-scale, real-world data on infant antibiotic exposure and long-term obesity outcomes are limited.

Purpose of the Study:

  • To investigate the association between antibiotic exposure in infancy and the development of overweight and obesity.
  • To analyze the impact of narrow-spectrum versus broad-spectrum antibiotics on long-term weight status.

Main Methods:

  • A historical cohort study was conducted using data from Maccabi Healthcare Services (MHS) in Israel.
  • 76,840 infants born between 1998-2002 were analyzed, comparing those exposed to antibiotics before age 2 with unexposed infants.
  • Body mass index (BMI) percentiles were tracked through childhood and adolescence.

Main Results:

  • Antibiotic-exposed infants showed significantly higher mean BMI percentiles across all age groups compared to unexposed infants (p < 0.001).
  • The risk of overweight and obesity increased with the number of narrow-spectrum antibiotic packs, with an odds ratio of 1.52 for 10+ packs (p < 0.001).
  • No significant association was found between broad-spectrum antibiotic exposure and overweight/obesity.

Conclusions:

  • Infant exposure to narrow-spectrum antibiotics is associated with elevated BMI and increased odds of overweight and obesity.
  • These findings underscore the importance of judicious antibiotic use in early life.
  • Further research may explore microbiome-mediated mechanisms linking early antibiotic exposure to obesity.
Abstract

Related Concept Videos

Drug Dosing: Obese Patients01:21

Drug Dosing: Obese Patients

In the United States, obesity is a prominent concern. It is linked to heightened mortality rates due to increased occurrences of conditions such as hypertension, atherosclerosis, coronary artery disease, and diabetes compared to nonobese individuals. A patient is classified as obese if their actual body weight surpasses the ideal or desirable body weight by 20%, based on Metropolitan Life Insurance Company data. Ideal body weights consider average weights and heights for males and females...
202
Development of Antibiotic Resistance01:30

Development of Antibiotic Resistance

Antibiotic resistance is a major public health concern that arises when bacteria evolve mechanisms to withstand the effects of antibiotic treatments. This resistance can be intrinsic, acquired through genetic mutations, or transferred between bacteria via horizontal gene transfer. The development of antibiotic resistance poses significant challenges in treating bacterial infections and necessitates ongoing research to develop new therapeutic strategies.Intrinsic resistance occurs when bacterial...
1.2K
Antibiotic Selection00:57

Antibiotic Selection

Overview
59.3K
Pharmacokinetics in Obese Patients: Drug Absorption and Distribution01:25

Pharmacokinetics in Obese Patients: Drug Absorption and Distribution

Obesity significantly alters the pharmacokinetic processes of drug absorption and distribution, presenting unique challenges in medical treatment. The increased fat tissue and decreased lean muscle in obese individuals can significantly affect how drugs are absorbed into the body and distributed across different tissues. This alteration can lead to variances in the effectiveness and safety of medications, necessitating adjustments in dosing or drug selection for obese patients.One notable...
225
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:  
1.2K
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...
1.1K