Stühmann Lena M, Paprott Rebecca, Heidemann Christin, Baumert Jens, Hansen Sylvia, Zahn Daniela, Scheidt-Nave Christa, Gellert Paul
Institute for Medical Sociology and Rehabilitation Science, Charité - Universitätsmedizin Berlin, Berlin, Germany.
Department of Epidemiology and Health Monitoring, Robert Koch Institute, Berlin, Germany.
JMIR Diabetes. 2020 May 20;5(2):e14396. doi: 10.2196/14396.
Evidence suggests that mobile health app use is beneficial for the prevention and management of type 2 diabetes (T2D) and its associated complications; however, population-based research on specific determinants of health app use in people with and without T2D is scarce.
This cross-sectional study aimed to provide population-based evidence on rates and determinants of health app use among adults with and without T2D, thereby covering a prevention perspective and a diabetes management perspective, respectively.
The study population included 2327 adults without a known diabetes diagnosis and 1149 adults with known T2D from a nationwide telephone survey in Germany conducted in 2017. Rates of smartphone ownership and health app use were estimated based on weighted sample proportions. Among smartphone owners, determinants of health app use were identified for both groups separately in multivariable logistic regression models. Sociodemographic factors, diabetes-related factors or indicators, psychological and health-related factors, and physician-provided information were selected as potential determinants.
Among participants without known diabetes, 74.72% (1690/2327) were smartphone owners. Of those, 49.27% (717/1690) used health apps, most often to improve regular physical activity. Among participants with T2D, 42.26% (481/1149) were smartphone owners. Of those, 41.1% (171/481) used health apps, most commonly to target a healthy diet. Among people without known diabetes, determinants significantly (all P values <.05) associated with an increased likelihood of health app use compared with their reference group were as follows: younger and middle age of 18 to 44 or 45 to 64 years (odds ratios [ORs] 3.89; P<.001 and 1.76; P=.004, respectively), overweight or obesity (ORs 1.58; P<.001 and 2.07; P<.001, respectively), hypertension diagnosis (OR 1.31; P=.045), former or current smoking (ORs 1.51; P=.002 and 1.58; P<.001, respectively), perceiving health as very good (OR 2.21; P<.001), other chronic diseases (OR 1.48; P=.002), and having received health advice from a physician (OR 1.48; P<.001). A slight or high perceived diabetes risk (ORs 0.78; P=.04 and 0.23; P<.001, respectively) was significantly associated with a decreased likelihood of health app use. Among people with T2D, younger and middle age (18-64 years; OR 1.84; P=.007), female gender (OR 1.61; P=.02), and using a glucose sensor in addition or instead of a glucose meter (OR 2.74; P=.04) were significantly positively associated with health app use.
In terms of T2D prevention, age, diabetes-related risk factors, psychological and health-related factors, and medical health advice may inform app development for specific target groups. In addition, health professionals may encourage health app use when giving advice on health behaviors. Concerning T2D management, only a few determinants seem relevant for explaining health app use among people with T2D, indicating a need for more future research on which people with T2D use health apps and why.
有证据表明,使用移动健康应用程序有利于2型糖尿病(T2D)的预防和管理及其相关并发症;然而,针对患有和未患有T2D的人群使用健康应用程序的特定决定因素的基于人群的研究却很少。
这项横断面研究旨在提供基于人群的证据,说明患有和未患有T2D的成年人使用健康应用程序的比例和决定因素,从而分别涵盖预防角度和糖尿病管理角度。
研究人群包括2017年在德国进行的一项全国性电话调查中的2327名未确诊糖尿病的成年人和1149名已知患有T2D的成年人。根据加权样本比例估算智能手机拥有率和健康应用程序使用率。在智能手机用户中,分别在多变量逻辑回归模型中为两组确定健康应用程序使用的决定因素。选择社会人口学因素、糖尿病相关因素或指标、心理和健康相关因素以及医生提供的信息作为潜在决定因素。
在未确诊糖尿病的参与者中,74.72%(1690/2327)是智能手机用户。其中,49.27%(717/1690)使用健康应用程序,最常使用的目的是改善日常体育活动。在患有T2D的参与者中,42.26%(481/1149)是智能手机用户。其中,41.1%(171/481)使用健康应用程序,最常见的目的是针对健康饮食。在未确诊糖尿病的人群中,与参照组相比,与健康应用程序使用可能性增加显著相关(所有P值<.05)的决定因素如下:年龄在18至44岁或45至64岁的年轻人和中年人(优势比[OR]分别为3.89;P<.001和1.76;P=.004)、超重或肥胖(OR分别为1.58;P<.001和2.07;P<.001)、高血压诊断(OR 1.31;P=.045)、曾经或现在吸烟(OR分别为1.51;P=.002和1.58;P<.001)、认为健康状况非常好(OR 2.21;P<.001)、其他慢性病(OR 1.48;P=.002)以及接受过医生的健康建议(OR 1.48;P<.001)。轻微或高度感知的糖尿病风险(OR分别为0.78;P=.04和0.23;P<.001)与健康应用程序使用可能性降低显著相关。在患有T2D的人群中,年龄在18 - 64岁的年轻人和中年人(OR 1.84;P=.007)、女性(OR 1.61;P=.02)以及使用葡萄糖传感器而非血糖仪(OR 2.74;P=.04)与健康应用程序使用显著正相关。
在T2D预防方面,年龄、糖尿病相关风险因素、心理和健康相关因素以及医疗健康建议可为特定目标群体的应用程序开发提供参考。此外,健康专业人员在就健康行为提供建议时,可鼓励使用健康应用程序。关于T2D管理,似乎只有少数决定因素与解释T2D患者使用健康应用程序有关,这表明未来需要更多研究来了解哪些T2D患者使用健康应用程序以及原因。