Association between Pet Ownership and Obesity: A Systematic Review and Meta-Analysis.
Kenta MiyakeKumiko KitoAyaka KotemoriKazuto SasakiJunpei YamamotoYuko OtagiriMiho NagasawaSayaka Kuze-ArataKazutaka MogiTakefumi KikusuiJunko IshiharaPublished in: International journal of environmental research and public health (2020)
Obesity is a major risk factor for lifestyle-related diseases, including cardiovascular disease, type 2 diabetes, and hypertension. Several studies have investigated the association between pet ownership and obesity, but the findings have been inconsistent. This systematic literature review and meta-analysis assessed the association between pet ownership and obesity. Using PubMed and Scopus, we overviewed the literature published until December 2019 and selected pertinent data for meta-analysis. Two independent reviewers extracted the data. Pooled relative risks (RRs) with 95% confidence intervals (CIs) for obesity were calculated using the random-effects model with inverse-variance weighting. The 21 included articles were cross-sectional studies. Five publications (nine analyses) that reported adjusted RRs for BMI ≥ 25 were included in the meta-analysis. No significant association existed between pet ownership and obesity (pooled RR = 1.038; 95% CI, 0.922-1.167; I2 = 51.8%). After stratification by age group (children vs. adults), no significant association was detected (pooled RR = 0.844; 95% CI, 0.604-1.179; I2 = 64.1% vs. pooled RR = 1.099; 95% CI, 0.997-1.212; I2 = 25.2%). Similarly, no significant association was observed between dog ownership and obesity, indicating no association between pet ownership and obesity. However, no infer causation can be reported because all studies included in this meta-analysis were cross-sectional. Therefore, further prospective studies are needed.
Keyphrases
- climate change
- type diabetes
- insulin resistance
- weight loss
- metabolic syndrome
- systematic review
- weight gain
- high fat diet induced
- cardiovascular disease
- case control
- computed tomography
- cross sectional
- positron emission tomography
- pet ct
- adipose tissue
- glycemic control
- body mass index
- blood pressure
- meta analyses
- young adults
- physical activity
- electronic health record
- big data
- machine learning
- case report
- randomized controlled trial
- deep learning
- high resolution
- data analysis
- artificial intelligence