Department of Physical Education, College of Education, Qatar University, Doha, Qatar.
World Innovation Summit for Health, Qatar Foundation, Doha, Qatar.
Front Public Health. 2022 Sep 15;10:927386. doi: 10.3389/fpubh.2022.927386. eCollection 2022.
Investigate adherence and retention to the "Step Into Health (SIH)" initiative (www.stepintohealth.qa [website access only available from within the State of Qatar]), a Qatari self-managed community-based health program, from 2012 to 2019.
Participants (16,711; 16-80 years; 37% females, 34% Qatari) used a pedometer or smartphone application (app) to measure step count. Absolute adherence (ADH) and retention (RET) were calculated, with ADH (%) the ratio between number of days data and SIH enrollment length (RET). Linear Mixed Models identified differences in ADH between RET groups, main effects (i.e., sex, device, age, BMI, nationality) and interaction effects for ADH (RET entered as a covariate).
Average ADH and RET to SIH (irrespective of sex, age, device and BMI) was 50% (±31%), and 16% (±20%), respectively, with ADH differing significantly between RET groups ( = 460.2, < 0.001). RET (as a covariate) revealed a significant main effect for device ( = 12.00, < 0.001) and age ( = 4.31, = 0.001) on ADH observed. There was a significant association between RET and sex ( < 0.001), device ( < 0.001), and age groups 16-25 y ( < 0.001), and 26-35 y ( < 0.001). There were no significant main effects for sex or BMI on ADH, and no interaction effects ( ≥ 0.21) observed.
Follow-up data (e.g., interviews, focus groups, etc.) determining why differences in ADH and RET are observed appears prudent. To convert those that lapsed and/or abandoned SIH/PA into committed long-term PA adherers. This would be a first step to develop targeted public health promotions and initiatives to enhance health outcomes at a population level.
调查 2012 年至 2019 年期间,卡塔尔自主管理的社区健康计划“步入健康(SIH)”(www.stepintohealth.qa [仅限在卡塔尔境内访问该网站])的依从性和保留率。
参与者(16711 人;16-80 岁;37%为女性,34%为卡塔尔人)使用计步器或智能手机应用程序(app)来测量步数。绝对依从性(ADH)和保留率(RET)被计算出来,ADH(%)为数据天数与 SIH 登记长度的比值(RET)。线性混合模型确定了 ADH 在 RET 组之间的差异,主要影响因素(即性别、设备、年龄、BMI、国籍)和 ADH 的交互效应(RET 作为协变量输入)。
无论性别、年龄、设备和 BMI 如何,SIH 的平均 ADH 和 RET 分别为 50%(±31%)和 16%(±20%),ADH 在 RET 组之间差异显著( = 460.2, < 0.001)。RET(作为协变量)显示设备( = 12.00, < 0.001)和年龄( = 4.31, < 0.001)对 ADH 有显著的主要影响。RET 与性别( < 0.001)、设备( < 0.001)和 16-25 岁年龄组( < 0.001)和 26-35 岁年龄组( < 0.001)之间存在显著关联。ADH 与性别或 BMI 之间没有显著的主要影响,也没有观察到交互效应( ≥ 0.21)。
似乎有必要进一步跟进数据(例如,访谈、焦点小组等),以确定为什么 ADH 和 RET 存在差异。目的是将那些中断和/或放弃 SIH/PA 的人转变为长期坚持 PA 的人。这将是制定有针对性的公共卫生宣传和计划以提高人口健康水平的第一步。