Maternal smoking during pregnancy and childhood overweight and fat distribution: the KOALA Birth Cohort Study

S H Timmermans1, M Mommers, J S Gubbels

  • 1Department of Epidemiology, CAPHRI School for Public Health and Primary Care, Maastricht University Medical Centre, Maastricht, The Netherlands.

Pediatric Obesity
|January 31, 2013
PubMed

Insights

Maternal smoking during pregnancy leads to lower birth weight and weight catch-up, increasing the risk of childhood overweight. This association with body mass index (BMI) and fat distribution develops with age.

Area of Science:

  • Obstetrics and Gynecology
  • Pediatrics
  • Public Health

Background:

  • Maternal smoking during pregnancy is linked to childhood overweight.
  • The impact on childhood fat distribution remains unclear.

Purpose of the Study:

  • To investigate the long-term effects of maternal smoking during pregnancy on childhood overweight.
  • To examine the association with childhood fat distribution.

Main Methods:

  • The KOALA Birth Cohort Study followed 2698 mother-child pairs.
  • Data collected via questionnaires and home visits.
  • Analyzed birth weight, BMI, waist circumference, and skinfold thickness using regression and GEE.

Main Results:

  • Maternal smoking correlated with lower birth weight and increased weight gain in the first year.
  • Children of mothers who smoked had a higher risk of exceeding the 85th percentile for BMI, waist circumference, and skinfold thickness at school age.

Conclusions:

  • Maternal smoking during pregnancy is associated with lower birth weight and subsequent weight catch-up.
  • This pattern contributes to the development of overweight in childhood and altered fat distribution.
Abstract

Related Concept Videos

Stress Prevention and Stress Management Techniques IV01:26

Stress Prevention and Stress Management Techniques IV

Stress often leads to unhealthy habits like smoking, excessive drinking, and overeating, which offer short-term relief but ultimately increase long-term health risks. These behaviors create a cycle that temporarily lowers stress levels but can result in severe long-term health consequences. Breaking these habits is essential to reduce the risk of chronic diseases and improve overall well-being. Three primary changes that support better health include quitting smoking, reducing alcohol intake,...
Development of the Oral Microbiota01:28

Development of the Oral Microbiota

The establishment of the oral microbiome begins before birth, challenging the long-held belief that the fetal oral cavity is sterile. The presence of oral microbes such as Streptococcus and Fusobacterium in amniotic fluid suggests that microbial exposure may occur in utero, potentially through translocation from the maternal oral or gastrointestinal tract. This early colonization primes the neonatal immune system and sets the stage for subsequent microbial succession. Maternal health,...
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 adipocytes...
Pathophysiology of Diabetes01:20

Pathophysiology of Diabetes

Diabetes mellitus is a chronic metabolic disorder characterized by hyperglycemia. The four categories of diabetes are type 1 diabetes, type 2 diabetes, other specific types of diabetes, and gestational diabetes.
Type 1 diabetes is characterized by autoimmune-mediated destruction of pancreatic β cells, with environmental factors potentially triggering this process in genetically susceptible individuals. Despite many not having a family history, certain genes increase susceptibility, suggesting a...
Statistical Methods for Analyzing Epidemiological Data01:25

Statistical Methods for Analyzing Epidemiological Data

Epidemiological data primarily involves information on specific populations' occurrence, distribution, and determinants of health and diseases. This data is crucial for understanding disease patterns and impacts, aiding public health decision-making and disease prevention strategies. The analysis of epidemiological data employs various statistical methods to interpret health-related data effectively. Here are some commonly used methods:
Diabetes Mellitus: Type 2 and Gestational01:22

Diabetes Mellitus: Type 2 and Gestational

Type 2 diabetes, characterized by insulin resistance, arises when the insulin receptors on cells lose responsiveness to insulin, diminishing the cell's capacity to take up glucose, resulting in elevated blood glucose levels. To receive a diagnosis of Type 2 diabetes, a series of blood glucose tests are necessary to assess whether the blood glucose falls within normal parameters. If the result is out of the normal range, a patient may be diagnosed as prediabetic or diabetic, depending on the...