Department of Community Nutrition, School of Nutritional Sciences and Dietetics, Tehran University of Medical Sciences, Tehran, Iran.
Sayesar-e-Omid Research and Counseling Center, Tehran, Iran.
Adv Nutr. 2020 Mar 1;11(2):349-356. doi: 10.1093/advances/nmz073.
Although several studies have investigated the association between Internet use and odds of overweight and obesity, results are inconsistent. This systematic review and meta-analysis was performed to summarize evidence on the association between Internet use and odds of overweight and obesity. A systematic literature search was conducted in PubMed/Medline, Web of Science, Scopus, and Google Scholar up to February 2019 to identify relevant publications. Finally, 9 cross-sectional studies were considered in this systematic review and meta-analysis. Combining 11 effect sizes from 9 studies, we found a significant, positive association between the highest Internet use, compared to the lowest (ranged from ≥5 h/d to no use among studies), and odds of overweight and obesity (OR: 1.47; 95% CI: 1.21-1.78; I2, 69.6%; P < 0.001), such that Internet users had 47% greater odds of being overweight or obese. We also observed a significant, positive association between the highest Internet use, compared to the lowest (ranged from ≥5 h/d to no use among studies), and overweight/obesity (OR: 1.15; 95% CI: 1.06-1.25; I2, 0.0%; P = 0.426), obesity (OR: 2.58; 95% CI: 1.88-3.54; I2, 0.0%; P = 0.637), and overweight (OR: 1.38; 95% CI: 1.16-1.64; I2, 13.1%; P = 0.330). A linear dose-response meta-analysis revealed that each additional 1 h/d of Internet use was associated with 8% increased odds of overweight and obesity (OR: 1.08; 95% CI: 1.05-1.11; I2, 3.8%; P = 0.403). Findings of this systematic review and meta-analysis indicated that Internet use was positively associated with increased odds of being overweight and obese.
虽然有几项研究调查了互联网使用与超重和肥胖几率之间的关系，但结果并不一致。本系统评价和荟萃分析旨在总结互联网使用与超重和肥胖几率之间关系的证据。我们在 PubMed/Medline、Web of Science、Scopus 和 Google Scholar 上进行了系统的文献检索，以确定相关的出版物。最终，本系统评价和荟萃分析考虑了 9 项横断面研究。结合 9 项研究中的 11 个效应大小，我们发现，与最低互联网使用相比，最高互联网使用（研究中范围为≥5 小时/天至不使用）与超重和肥胖的几率呈显著正相关（OR：1.47；95%CI：1.21-1.78；I2，69.6%；P<0.001），即互联网使用者超重或肥胖的几率增加 47%。我们还观察到，与最低互联网使用相比，最高互联网使用（研究中范围为≥5 小时/天至不使用）与超重/肥胖（OR：1.15；95%CI：1.06-1.25；I2，0.0%；P=0.426）、肥胖（OR：2.58；95%CI：1.88-3.54；I2，0.0%；P=0.637）和超重（OR：1.38；95%CI：1.16-1.64；I2，13.1%；P=0.330）呈显著正相关。线性剂量-反应荟萃分析显示，每天增加 1 小时的互联网使用与超重和肥胖几率增加 8%相关（OR：1.08；95%CI：1.05-1.11；I2，3.8%；P=0.403）。本系统评价和荟萃分析的结果表明，互联网使用与超重和肥胖几率增加呈正相关。
