Sibling Similarity in Metabolic Syndrome: The Portuguese Sibling Study on Growth, Fitness, Lifestyle and Health.


Journal

Behavior genetics
ISSN: 1573-3297
Titre abrégé: Behav Genet
Pays: United States
ID NLM: 0251711

Informations de publication

Date de publication:
05 2019
Historique:
received: 04 04 2018
accepted: 14 02 2019
pubmed: 1 3 2019
medline: 19 12 2019
entrez: 1 3 2019
Statut: ppublish

Résumé

This study aims to estimate sibling resemblance in metabolic syndrome (MS) markers, and to investigate the associations of biological and behavioral characteristics with MS. The sample comprises 679 biological siblings (363 females; 316 males) aged 9-20 years. MS markers included waist circumference (WC), high-density lipoprotein cholesterol (HDL-C), triglycerides (TRI), fasting glucose (GLU) and systolic blood pressure (SBP). Body mass index (BMI), biological maturation, muscular, and cardiorespiratory fitness were also assessed. Behavioral characteristics, including dietary intake and physical activity, were self-reported by questionnaire. Multilevel models were used, and sibling resemblance was estimated using the intraclass correlation (ρ). In general, same-sex siblings showed higher resemblance in MS markers than opposite-sex siblings. However, variability in sibling resemblance in MS markers was evident with the inclusion of covariates. Biological characteristics including age, BMI and maturity offset influenced all MS markers except for TRI. Importantly, behavioral characteristics diversely influenced MS markers: fruit and vegetables only influenced SBP, whereas physical activity affected HDL-C. Additionally, muscular fitness impacted significantly on MS Z-score, WC, SBP and GLU, whilst cardiorespiratory fitness only affected WC. In conclusion, biological and behavioral characteristics influenced the expression of MS markers. These results confirmed the importance of considering individual characteristics when designing individualized programs for diminishing the adverse effects of specific MS markers.

Identifiants

pubmed: 30815779
doi: 10.1007/s10519-019-09953-y
pii: 10.1007/s10519-019-09953-y
doi:

Substances chimiques

Blood Glucose 0
Cholesterol, HDL 0
Triglycerides 0

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

299-309

Auteurs

Sara Pereira (S)

CIFI2D, Faculty of Sport, University of Porto, 4099-002, Porto, Portugal. sara.s.p@hotmail.com.

Peter T Katzmarzyk (PT)

Pennington Biomedical Research Center, Louisiana State University, Baton Rouge, LA, 70808, USA.

Thayse Natacha Gomes (TN)

CIFI2D, Faculty of Sport, University of Porto, 4099-002, Porto, Portugal.

Rojapon Buranarugsa (R)

Faculty of Education, Khon Kaen University, Khon Kaen, 40000, Thailand.

Marcos A Moura-Dos-Santos (MA)

Department of Physical Education, University of Pernambuco, Recife, Brazil.

Donald Hedeker (D)

Department of Public Health Sciences, University of Chicago, Chicago, IL, 60637, USA.

José Maia (J)

CIFI2D, Faculty of Sport, University of Porto, 4099-002, Porto, Portugal.

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Classifications MeSH