» Articles » PMID: 24642734

Assessing Causality in the Association Between Child Adiposity and Physical Activity Levels: a Mendelian Randomization Analysis

Overview
Journal PLoS Med
Specialty General Medicine
Date 2014 Mar 20
PMID 24642734
Citations 87
Authors
Affiliations
Soon will be listed here.
Abstract

Background: Cross-sectional studies have shown that objectively measured physical activity is associated with childhood adiposity, and a strong inverse dose-response association with body mass index (BMI) has been found. However, few studies have explored the extent to which this association reflects reverse causation. We aimed to determine whether childhood adiposity causally influences levels of physical activity using genetic variants reliably associated with adiposity to estimate causal effects.

Methods And Findings: The Avon Longitudinal Study of Parents and Children collected data on objectively assessed activity levels of 4,296 children at age 11 y with recorded BMI and genotypic data. We used 32 established genetic correlates of BMI combined in a weighted allelic score as an instrumental variable for adiposity to estimate the causal effect of adiposity on activity. In observational analysis, a 3.3 kg/m² (one standard deviation) higher BMI was associated with 22.3 (95% CI, 17.0, 27.6) movement counts/min less total physical activity (p = 1.6×10⁻¹⁶), 2.6 (2.1, 3.1) min/d less moderate-to-vigorous-intensity activity (p = 3.7×10⁻²⁹), and 3.5 (1.5, 5.5) min/d more sedentary time (p = 5.0×10⁻⁴). In Mendelian randomization analyses, the same difference in BMI was associated with 32.4 (0.9, 63.9) movement counts/min less total physical activity (p = 0.04) (∼5.3% of the mean counts/minute), 2.8 (0.1, 5.5) min/d less moderate-to-vigorous-intensity activity (p = 0.04), and 13.2 (1.3, 25.2) min/d more sedentary time (p = 0.03). There was no strong evidence for a difference between variable estimates from observational estimates. Similar results were obtained using fat mass index. Low power and poor instrumentation of activity limited causal analysis of the influence of physical activity on BMI.

Conclusions: Our results suggest that increased adiposity causes a reduction in physical activity in children and support research into the targeting of BMI in efforts to increase childhood activity levels. Importantly, this does not exclude lower physical activity also leading to increased adiposity, i.e., bidirectional causation.

Citing Articles

Healthier Diet and Diet-Related Behaviors Are Associated with Increased Physical Activity and Reduced Sedentary Behavior Among Adolescents in Greece.

Chaireti E, Orfanos P, Fotiou A, Kanavou E, Stavrou M, Richardson C Nutrients. 2025; 17(3).

PMID: 39940239 PMC: 11820917. DOI: 10.3390/nu17030381.


quantitative assessment of proximal femoral cortical bone microstructure using double-echo ultrashort echo time magnetic resonance imaging.

Li Y, Hou B, Zhang Y, Wang Y, Chu Y, Li X Quant Imaging Med Surg. 2024; 14(12):9323-9334.

PMID: 39698732 PMC: 11652011. DOI: 10.21037/qims-24-1230.


Attainment of World Health Organization physical activity recommendations by Ecuadorian children: Analysis of social and anthropometrics factors in two distinct populations.

Molina-Cando M, Chis Ster I, Escandon S, Sanchez R, Rodriguez A, Chico M PLoS One. 2024; 19(12):e0311165.

PMID: 39693299 PMC: 11654990. DOI: 10.1371/journal.pone.0311165.


Causal effects of plasma metabolites on chronic kidney diseases and renal function: a bidirectional Mendelian randomization study.

Zhao X, Gao J, Kou K, Wang X, Gao X, Wang Y Front Endocrinol (Lausanne). 2024; 15:1429159.

PMID: 39129920 PMC: 11310041. DOI: 10.3389/fendo.2024.1429159.


Exploring the causal relationship between inflammatory cytokines and immunoinflammatory dermatoses: a Mendelian randomization study.

Li J, Lu Y, Zhao X Front Med (Lausanne). 2024; 11:1263714.

PMID: 38357652 PMC: 10864622. DOI: 10.3389/fmed.2024.1263714.


References
1.
Timpson N, Emmett P, Frayling T, Rogers I, Hattersley A, McCarthy M . The fat mass- and obesity-associated locus and dietary intake in children. Am J Clin Nutr. 2008; 88(4):971-8. PMC: 4773885. DOI: 10.1093/ajcn/88.4.971. View

2.
Davey Smith G, Ebrahim S . 'Mendelian randomization': can genetic epidemiology contribute to understanding environmental determinants of disease?. Int J Epidemiol. 2003; 32(1):1-22. DOI: 10.1093/ije/dyg070. View

3.
Luke A, Dugas L, Durazo-Arvizu R, Cao G, Cooper R . Assessing physical activity and its relationship to cardiovascular risk factors: NHANES 2003-2006. BMC Public Health. 2011; 11:387. PMC: 3123595. DOI: 10.1186/1471-2458-11-387. View

4.
Fraser A, Macdonald-Wallis C, Tilling K, Boyd A, Golding J, Davey Smith G . Cohort Profile: the Avon Longitudinal Study of Parents and Children: ALSPAC mothers cohort. Int J Epidemiol. 2012; 42(1):97-110. PMC: 3600619. DOI: 10.1093/ije/dys066. View

5.
Ness A, Leary S, Mattocks C, Blair S, Reilly J, Wells J . Objectively measured physical activity and fat mass in a large cohort of children. PLoS Med. 2007; 4(3):e97. PMC: 1831734. DOI: 10.1371/journal.pmed.0040097. View