Social Media as an Emerging Data Resource for Epidemiologic Research: Characteristics of Regular and Nonregular Social Media Users in Nurses' Health Study II

被引:7
作者
Kim, Eric S. [1 ,2 ,3 ]
James, Peter [4 ,5 ]
Zevon, Emily S. [1 ]
Trudel-Fitzgerald, Claudia [1 ,2 ]
Kubzansky, Laura D. [1 ,2 ]
Grodstein, Francine [6 ,7 ,8 ]
机构
[1] Harvard Univ, TH Chan Sch Publ Hlth, Dept Social & Behav Sci, Boston, MA 02115 USA
[2] Harvard Univ, TH Chan Sch Publ Hlth, Lee Kum Sheung Ctr Hlth & Happiness, Boston, MA 02115 USA
[3] Harvard Univ, Inst Quantitat Social Sci, Human Flourishing Program, Boston, MA 02115 USA
[4] Harvard Med Sch, Dept Populat Med, Boston, MA 02115 USA
[5] Harvard Pilgr Hlth Care Inst, Boston, MA USA
[6] Harvard Univ, TH Chan Sch Publ Hlth, Dept Epidemiol, Boston, MA 02115 USA
[7] Brigham & Womens Hosp, Dept Med, Channing Div Network Med, 75 Francis St, Boston, MA 02115 USA
[8] Harvard Med Sch, Boston, MA 02115 USA
基金
美国国家卫生研究院;
关键词
epidemiologic methods; machine learning; natural language processing; psychology; public health; social media; ORIENTATION; DEPRESSION; VALIDITY; FACEBOOK; TWITTER; ANXIETY; TOOL;
D O I
10.1093/aje/kwz224
中图分类号
R1 [预防医学、卫生学];
学科分类号
1004 ; 120402 ;
摘要
With advances in natural language processing and machine learning, researchers are leveraging social media as a low-cost, low-burden method for measuring various psychosocial factors. However, it is unclear whether information derived from social media is generalizable to broader populations, especially middle-aged and older adults. Using data on women aged 53-70 years from Nurses' Health Study II (2017-2018; n = 49,045), we assessed differences in sociodemographic characteristics, health conditions, behaviors, and psychosocial factors between regular and nonregular users of Facebook (Facebook, Inc., Menlo Park, California). We evaluated effect sizes with phi (phi) coefficients (categorical data) or Cohen's d (continuous data) and calculated odds ratios with 95% confidence intervals. While most comparisons between regular and nonregular users achieved statistical significance in this large sample, effect sizes were mostly "very small" (conventionally defined as phi or d <0.01) (e.g., optimism score: mean regular users = 19 vs. mean(nonregular users) = 19 (d = -0.03); physical activity: mean(regular users) = 24 metabolic equivalent of task (MET)-hours/week vs. mean(nonregular users) = 24 MET-hours/week (d = 0.01)). Some factors had slightly larger differences for regular users versus nonregular users (e.g., depression: 28% vs. 23% (phi = 0.05); odds ratio = 1.27 (95% confidence interval: 1.22, 1.33); obesity: 34% vs. 26% (phi = 0.07); odds ratio = 1.42 (95% confidence interval: 1.36, 1.48)). Results suggest that regular Facebook users were similar to nonregular users across sociodemographic and psychosocial factors, with modestly worse health regarding obesity and depressive symptoms. In future research, investigators should evaluate other demographic groups.
引用
收藏
页码:156 / 161
页数:6
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