1 School of Nursing, The University of Hong Kong , Hong Kong, China.
2 Department of Epidemiology and Biostatistics, Imperial College London , London, UK.
J Behav Addict. 2018 Dec 1;7(4):1157-1165. doi: 10.1556/2006.7.2018.105. Epub 2018 Nov 12.
Problematic smartphone use (PSU) is an emerging but understudied public health issue. Little is known about the epidemiology of PSU at the population level. We evaluated the psychometric properties of the Smartphone Addiction Scale - Short Version (SAS-SV) and examined its associated sociodemographic factors and health behaviors in Chinese adults in Hong Kong.
A random sample of 3,211 adults aged ≥18 years (mean ± SD: 43.3 ± 15.7, 45.3% men) participated in a population-based telephone survey in Hong Kong and completed the Chinese SAS-SV. Multivariable linear regressions examined the associations of sociodemographic factors, health behaviors, and chronic disease status with SAS-SV score. Data were weighted by age, sex, and education attainment distributions of the Hong Kong general population.
The Chinese SAS-SV is internally consistent (Cronbach's α = .844) and stable over 1 week (intraclass correlation coefficient = .76, p < .001). Confirmatory factor analysis supported a unidimensional structure established by previous studies. The weighted prevalence of PSU was 38.5% (95% confidence interval: 36.9%, 40.2%). Female sex, younger age, being married/cohabitated or divorced/separated (vs. unmarried), and lower education level were associated with a higher SAS-SV score (all ps <.05). Current smoking, weekly to daily alcohol drinking, and physical inactivity predict greater PSU after controlling for sociodemographic factors and mutual adjustment.
The Chinese SAS-SV was found valid and reliable for assessing PSU in Hong Kong adults. Several sociodemographic and health behavioral factors were associated with PSU at the population level, which may have implication for prevention of PSU and future research.
智能手机使用问题（PSU）是一个新兴但研究不足的公共卫生问题。在人群层面上，关于 PSU 的流行病学知识还很有限。我们评估了智能手机成瘾量表-短版（SAS-SV）的心理测量特性，并研究了其与香港成年人的社会人口统计学因素和健康行为之间的关系。
在香港，我们采用随机抽样的方法，对 3211 名年龄≥18 岁的成年人（平均年龄±标准差：43.3±15.7，45.3%为男性）进行了一项基于人群的电话调查，并完成了中文版 SAS-SV。多变量线性回归分析了社会人口统计学因素、健康行为和慢性病状况与 SAS-SV 评分的关系。数据按香港总人口的年龄、性别和教育程度分布进行加权。
中文版 SAS-SV 具有内部一致性（Cronbach's α=0.844），且在 1 周内具有稳定性（组内相关系数=0.76，p<0.001）。验证性因子分析支持了先前研究中建立的单维结构。PSU 的加权患病率为 38.5%（95%置信区间：36.9%，40.2%）。女性、年龄较小、已婚/同居或离婚/分居（与未婚相比）和较低的教育程度与 SAS-SV 评分较高相关（均 p<0.05）。在控制社会人口统计学因素和相互调整后，当前吸烟、每周至每天饮酒和缺乏身体活动与更大的 PSU 相关。
我们发现，中文版 SAS-SV 可有效可靠地评估香港成年人的 PSU。一些社会人口统计学和健康行为因素与人群层面的 PSU 相关，这可能对预防 PSU 和未来的研究具有启示意义。
