Department of Gerontal Health and Welfare, Pai Chai University, Daejeon 35345, Korea.
The Korean Cardiac Research Foundation, Seoul 04158, Korea.
Nutrients. 2021 Mar 25;13(4):1069. doi: 10.3390/nu13041069.
We explored online search interest in dieting and weight loss using big-data analysis with a view to its potential utility in global obesity prevention efforts. We applied big-data analysis to the global dieting trends collected from Google and Naver search engines from January 2004 to January 2018 using the search term "diet," in selected six Northern and Southern Hemisphere countries; five Arab and Muslim countries grouped as conservative, semi-conservative, and liberal; and South Korea. Using cosinor analysis to evaluate the periodic flow of time series data, there was seasonality for global search interest in dieting and weight loss (amplitude = 6.94, CI = 5.338.56, < 0.000) with highest in January and the lowest in December for both Northern and Southern Hemisphere countries. Seasonal dieting trend in the Arab and Muslim countries was present, but less remarkable (monthly seasonal seasonality, amplitude = 4.07, CI = 2.205.95, < 0.000). For South Korea, seasonality was noted on Naver (amplitude = 11.84, CI = 7.62~16.05, < 0.000). Our findings suggest that big-data analysis of social media can be an adjunct in tackling important public health issues like dieting, weight loss, obesity, and food fads, including the optimal timing of interventions.
我们使用大数据分析方法探索了节食和减肥的在线搜索兴趣，以期为全球肥胖预防工作提供潜在的应用价值。我们应用大数据分析方法，分析了从 2004 年 1 月至 2018 年 1 月谷歌和 Naver 搜索引擎上收集的来自六个北半球和南半球国家、五个阿拉伯和穆斯林国家（分为保守、半保守和自由国家）以及韩国的节食趋势全球搜索数据。利用余弦分析评估时间序列数据的周期性流动，结果显示，全球节食和减肥的搜索兴趣存在季节性（振幅=6.94，CI=5.338.56，<0.000），北半球和南半球国家的最高搜索兴趣出现在 1 月，最低搜索兴趣出现在 12 月。阿拉伯和穆斯林国家也存在季节性节食趋势，但不那么明显（每月季节性季节性，振幅=4.07，CI=2.205.95，<0.000）。对于韩国，Naver 上也存在季节性（振幅=11.84，CI=7.62~16.05，<0.000）。我们的研究结果表明，社交媒体的大数据分析可以作为解决节食、减肥、肥胖和饮食时尚等重要公共卫生问题的辅助手段，包括干预的最佳时间。
