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Relation between the longitudinal development of lipoprotein levels and lifestyle parameters during adolescence and young adulthood

Research output: Contribution to journalArticleAcademicpeer-review

Abstract

The longitudinal relationship between serum levels of lipoproteins and lifestyle measures (e.g., intake of cholesterol, carbohydrates, saturated fatty acids [SFA], polyunsaturated fatty acids [PUFA], the PUFA/SFA (P:S) ratio, alcohol consumption, smoking behavior, and daily physical activity) was investigated over a period of 15 years in a cohort study (the Amsterdam Growth and Health Study). Members of the cohort were 13 years of age at commencement of the study and were 27 years old at termination. The unique feature of the study presented is that the longitudinal relations were analyzed with generalized estimating equations, a statistical technique in which the relations at different time-points are tested simultaneously. The development of the total serum cholesterol (TC) level was positively related to the intake of cholesterol and negatively to the P:S ratio. The development of high-density-lipoprotein cholesterol (HDL) level was positively related to alcohol consumption and daily physical activity and negatively to smoking behavior. The development of the TC:HDL ratio was negatively related to alcohol consumption and positively to both smoking behavior and carbohydrate intake.

Original languageEnglish
Pages (from-to)246-56
Number of pages11
JournalAnnals of epidemiology
Volume6
Issue number3
Publication statusPublished - May 1996

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

Keywords

  • Adolescent
  • Adult
  • Age Factors
  • Body Constitution
  • Cholesterol/blood
  • Cholesterol, HDL/blood
  • Diet/statistics & numerical data
  • Dietary Fats/administration & dosage
  • Dietary Fats, Unsaturated
  • Exercise
  • Female
  • Health Behavior
  • Humans
  • Linear Models
  • Longitudinal Studies
  • Male
  • Netherlands/epidemiology

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