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Tracking of serum lipid levels from childhood to adulthood: Systematic review and meta-analysis.
Stanesby, Oliver; Armstrong, Matthew K; Otahal, Petr; Goode, James P; Fraser, Brooklyn J; Negishi, Kazuaki; Kidokoro, Tetsuhiro; Winzenberg, Tania; Juonala, Markus; Wu, Feitong; Kelly, Rebecca K; Xi, Bo; Viikari, Jorma S A; Raitakari, Olli T; Daniels, Stephen R; Tomkinson, Grant R; Magnussen, Costan G.
Affiliation
  • Stanesby O; Menzies Institute for Medical Research, University of Tasmania, Hobart, Australia; Baker Heart and Diabetes Institute, Melbourne, Australia.
  • Armstrong MK; Department of Health and Human Physiology, University of Iowa, USA.
  • Otahal P; Menzies Institute for Medical Research, University of Tasmania, Hobart, Australia.
  • Goode JP; Menzies Institute for Medical Research, University of Tasmania, Hobart, Australia.
  • Fraser BJ; Menzies Institute for Medical Research, University of Tasmania, Hobart, Australia; Alliance for Research in Exercise, Nutrition and Activity (ARENA), Allied Health and Human Performance, University of South Australia, Adelaide, Australia.
  • Negishi K; Sydney Medical School Nepean, Faculty of Medicine and Health, Charles Perkins Centre Nepean, The University of Sydney, Sydney, Australia; Nepean Hospital, Sydney, Australia.
  • Kidokoro T; Alliance for Research in Exercise, Nutrition and Activity (ARENA), Allied Health and Human Performance, University of South Australia, Adelaide, Australia; Faculty of Sport Science, Nippon Sport Science University, Tokyo, Japan.
  • Winzenberg T; Menzies Institute for Medical Research, University of Tasmania, Hobart, Australia.
  • Juonala M; Department of Medicine, University of Turku, Turku, Finland; Division of Medicine, Turku University Hospital, Turku, Finland.
  • Wu F; Baker Heart and Diabetes Institute, Melbourne, Australia; Baker Department of Cardiometabolic Health, Faculty of Medicine, Dentistry and Health Sciences, University of Melbourne, Melbourne, Australia.
  • Kelly RK; School of Medicine, University of Tasmania, Hobart, Australia.
  • Xi B; Department of Epidemiology, School of Public Health/Qilu Hospital, Cheeloo College of Medicine, Shandong University, Jinan, China.
  • Viikari JSA; Department of Medicine, University of Turku, Turku, Finland; Division of Medicine, Turku University Hospital, Turku, Finland.
  • Raitakari OT; Research Centre of Applied and Preventive Cardiovascular Medicine, University of Turku, Turku, Finland; Centre for Population Health Research, University of Turku and Turku University Hospital, Turku, Finland; Department of Clinical Physiology and Nuclear Medicine, Turku University Hospital, Turku,
  • Daniels SR; Department of Pediatrics, University of Colorado School of Medicine, Aurora, CO, USA.
  • Tomkinson GR; Alliance for Research in Exercise, Nutrition and Activity (ARENA), Allied Health and Human Performance, University of South Australia, Adelaide, Australia.
  • Magnussen CG; Baker Heart and Diabetes Institute, Melbourne, Australia; Alliance for Research in Exercise, Nutrition and Activity (ARENA), Allied Health and Human Performance, University of South Australia, Adelaide, Australia; Research Centre of Applied and Preventive Cardiovascular Medicine, University of Turku
Atherosclerosis ; 391: 117482, 2024 Apr.
Article de En | MEDLINE | ID: mdl-38569384
ABSTRACT
BACKGROUND AND

AIMS:

The utility of lipid screening in pediatric settings for preventing adult atherosclerotic cardiovascular diseases partly depends on the lifelong tracking of lipid levels. This systematic review aimed to quantify the tracking of lipid levels from childhood and adolescence to adulthood.

METHODS:

We systematically searched MEDLINE, Embase, Web of Science, and Google Scholar in March 2022. The protocol was registered with the International Prospective Register of Systematic Reviews (PROSPERO; ID CRD42020208859). We included cohort studies that measured tracking of lipids from childhood or adolescence (<18 years) to adulthood (≥18) with correlation or tracking coefficients. We estimated pooled correlation and tracking coefficients using random-effects meta-analysis. Risk of bias was assessed with a review-specific tool.

RESULTS:

Thirty-three studies of 19 cohorts (11,020 participants) were included. The degree of tracking from childhood and adolescence to adulthood differed among lipids. Tracking was observed for low-density lipoprotein cholesterol (pooled r = 0.55-0.65), total cholesterol (pooled r = 0.51-0.65), high-density lipoprotein cholesterol (pooled r = 0.46-0.57), and triglycerides (pooled r = 0.32-0.40). Only one study included tracking of non-high-density lipoprotein cholesterol (r = 0.42-0.59). Substantial heterogeneity was observed. Study risk of bias was moderate, mostly due to insufficient reporting and singular measurements at baseline and follow-up.

CONCLUSIONS:

Early-life lipid measurements are important for predicting adult levels. However, further research is needed to understand the tracking of non-high-density lipoprotein cholesterol and the stability of risk classification over time, which may further inform pediatric lipid screening and assessment strategies.
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Texte intégral: 1 Collection: 01-internacional Base de données: MEDLINE Sujet principal: Lipides Limites: Adolescent / Adult / Child / Female / Humans / Male Langue: En Journal: Atherosclerosis Année: 2024 Type de document: Article Pays d'affiliation: Australie

Texte intégral: 1 Collection: 01-internacional Base de données: MEDLINE Sujet principal: Lipides Limites: Adolescent / Adult / Child / Female / Humans / Male Langue: En Journal: Atherosclerosis Année: 2024 Type de document: Article Pays d'affiliation: Australie