Difference in celiac disease risk between Swedish birth cohorts suggests an opportunity for primary prevention

Cecilia Olsson1, Olle Hernell, Agneta Hörnell

  • 1Department of Food and Nutrition, Umeå University, SE-901 87 Umeå, Sweden. cecilia.olsson@kost.umu.se

Pediatrics
|September 3, 2008
PubMed

Insights

Sweden

Area of Science:

  • Pediatric Gastroenterology
  • Epidemiology
  • Immunology

Background:

  • Sweden observed a distinct celiac disease epidemic in young children, linked to infant feeding changes and multifactorial pathogenesis.
  • Understanding these factors is crucial for preventing celiac disease.

Purpose of the Study:

  • To analyze celiac disease risk in epidemic and postepidemic birth cohorts up to preschool age.
  • To explore primary prevention strategies for celiac disease.

Main Methods:

  • Analysis of a nationwide celiac disease incidence register (1973-2003).
  • Application of European Society for Pediatric Gastroenterology, Hepatology, and Nutrition diagnostic criteria.
  • Calculation of annual and cumulative incidence rates by age and birth cohort.

Main Results:

  • Significant differences in cumulative celiac disease incidence between epidemic and postepidemic birth cohorts.
  • The risk difference persisted through preschool years, diminishing with age.
  • A recent increase in incidence rates for children under two years was observed.

Conclusions:

  • Celiac disease risk disparities between cohorts indicate potential for primary prevention.
  • Further research into infant feeding and non-gluten factors is essential for disease prevention.
  • The Swedish celiac disease epidemic's uniqueness is questioned based on postepidemic trends.
Abstract

Related Concept Videos

Cancer Prevention02:59

Cancer Prevention

Several factors can increase the risk of cancer in an individual. About 50% of cancer cases can be prevented by adopting a healthy lifestyle, regular exercise, eating healthy, and following a modest cancer prevention diet. Epidemiological studies have consistently shown that populations with vegetable and fruit-rich diets have reduced the incidence of cancer. On the other hand, populations who have a diet rich in animal fat, red meat, junk food, or high calories are predisposed to cancer.
Some...
Cancer Prevention02:59

Cancer Prevention

Several factors can increase the risk of cancer in an individual. About 50% of cancer cases can be prevented by adopting a healthy lifestyle, regular exercise, eating healthy, and following a modest cancer prevention diet. Epidemiological studies have consistently shown that populations with vegetable and fruit-rich diets have reduced the incidence of cancer. On the other hand, populations who have a diet rich in animal fat, red meat, junk food, or high calories are predisposed to cancer.
Some...
Preventive Healthcare Services01:30

Preventive Healthcare Services

Preventive healthcare services keep people healthy via frequent check-ups, screening, and counseling. They primarily aid in disease prevention rather than treating an acute or chronic illness. Preventive treatment also keeps individuals productive and energetic, allowing them to work well into their retirement years. Examples of preventive care services include:
Relative Risk01:12

Relative Risk

Relative risk (RR) is a statistical measure commonly used in epidemiology to compare the likelihood of a particular event occurring between two groups. This metric is important for evaluating the relationship between exposure to a specific risk factor and the probability of a particular outcome. It plays a crucial role in medical research, public health studies, and risk assessment. Relative risk quantifies how much more (or less) likely an event is to occur in an exposed group compared to an...
Prevalence and Incidence01:08

Prevalence and Incidence

In statistical epidemiology and health sciences, two essential metrics—prevalence and incidence—are fundamental for understanding disease dynamics within a population. These measures enable public health officials, epidemiologists, and researchers to assess the burden of diseases, allocate resources effectively, and design impactful public health policies and interventions.
Prevalence indicates the proportion of individuals in a population who have a specific disease or health condition at a...
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: