The role of lifestyle and non-modifiable risk factors in the development of metabolic disturbances from childhood to adolescence

Author:

Börnhorst Claudia,Russo Paola,Veidebaum Toomas,Tornaritis Michael,Molnár DénesORCID,Lissner Lauren,Mårild Staffan,De Henauw Stefaan,Moreno Luis A.ORCID,Floegel Anna,Ahrens WolfgangORCID,Wolters MaikeORCID

Abstract

Abstract Background The study aimed to identify the effects of lifestyle, C-reactive protein (CRP) and non-modifiable risk factors on metabolic disturbances in the transition from childhood to adolescence. Methods In 3889 children of the IDEFICS/I.Family cohort, latent transition analysis was applied to estimate probabilities of metabolic disturbances based on waist circumference, blood pressure, blood glucose, and lipids assessed at baseline and at 2- and 6-year follow-ups. Multivariate mixed-effects models were used to assess the age-dependent associations of lifestyle, non-modifiable risk factors and CRP, with the transformed probabilities of showing abdominal obesity, hypertension, dyslipidemia, or several metabolic disturbances (reference: being metabolically healthy). Results Higher maternal body mass index, familial hypertension as well as higher CRP z-score increased the risk for all four metabolic outcomes while low/medium parental education increased the risk of abdominal obesity and of showing several metabolic disturbances. Out of the lifestyle factors, the number of media in the bedroom, membership in a sports club, and well-being were associated with some of the outcomes. For instance, having at least one media in the bedroom increased the risk for showing several metabolic disturbances where the odds ratio (OR) markedly increased with age (1.30 [95% confidence interval 1.18; 1.43] at age 8; 1.18 [1.14; 1.23] for interaction with age; i.e., resulting in an OR of 1.30 × 1.18 = 1.53 at age 9 and so forth). Further, entering puberty at an early age was strongly associated with the risk of abdominal obesity (2.43 [1.60; 3.69] at age 8; 0.75 [0.69; 0.81] for interaction with age) and the risk of showing several metabolic disturbances (2.46 [1.53; 3.96] at age 8; 0.71 [0.65; 0.77] for interaction with age). Conclusions Various factors influence the metabolic risk of children revealing the need for multifactorial interventions. Specifically, removing media from children’s bedroom as well as membership in a sports club seem to be promising targets for prevention.

Publisher

Springer Science and Business Media LLC

Subject

Nutrition and Dietetics,Endocrinology, Diabetes and Metabolism,Medicine (miscellaneous)

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