<p>Assessing prevalence of research fatigue.</p>

Background Health research is key to the promotion of population and community health, however, conducting many research studies in a community can cause research fatigue. Purpose We determined the prevalence of research fatigue and associated factors in Mosoriot, Kenya. Methods We conducted a cross-sectional study in the Mosoriot community from Wednesday 28, May 2014, to Thursday 30, April 2015, involving (n = 327) community members who were randomly sampled to respond to self-administered and/or guided questionnaires. We analyzed descriptive statistics to summarise the data and used the Pearson Chi-Square test to assess the bivariate associations between the variables and conducted multivariate analyses using logistic regression models to test the hypotheses. The odds ratios and the corresponding 95% confidence limits were reported. Results Research fatigue prevalence was 56.3% and the factors associated included being >35 years (OR: 2.28, 95% CL: 1.27, 4.15), being male (OR: 2.80, 95% CL:1.59, 5.00), self-employment (OR: 2.05, 95% CL: 1.06, 4.01), participating in hospital-based studies (OR: 3.59, 95% CL:1.88, 7.09), involvement in multiple researches (OR: 3.86, 95% CL:1.87, 8.27), desire to drop out of a study (OR: 11.49, 95% CL: 3.69, 43.83) and being asked personal questions (OR: 6.23, 95% CL: 3.28, 12.23). Conclusion There is a high prevalence of research fatigue (56.3%) among community members in Mosoriot who have participated in repeated research, which is associated with age, gender, income source, research setting, frequency of research engagement, desire to drop out of studies, and discomfort with questions. Addressing research fatigue would enhance ethical research conduct and promote sustained community participation in research.研究背景 卫生研究是推动人群与社区健康的核心举措，但在社区中开展多项研究工作可能引发研究疲劳（research fatigue）。 研究目的 本研究旨在明确肯尼亚莫索里奥特（Mosoriot）地区人群的研究疲劳患病率及其相关影响因素。 研究方法 本研究于2014年5月28日（周三）至2015年4月30日（周四）在莫索里奥特（Mosoriot）社区开展横断面研究（cross-sectional study），共随机抽样纳入327名社区居民作为研究对象，使其填写自填式问卷（self-administered questionnaires）和/或访谈式问卷（guided questionnaires）。本研究采用描述性统计方法对数据进行汇总分析，通过皮尔逊卡方检验（Pearson Chi-Square test）分析变量间的双变量关联，并运用逻辑回归模型（logistic regression models）进行多变量分析以验证研究假设，最终报告比值比（odds ratios, OR）及其对应的95%置信区间（95% confidence limits, CL）。 研究结果 莫索里奥特社区居民的研究疲劳患病率为56.3%，相关影响因素包括：年龄＞35岁（OR=2.28，95%CL=1.27~4.15）、男性（OR=2.80，95%CL=1.59~5.00）、自营职业（OR=2.05，95%CL=1.06~4.01）、参与过基于医院的研究（OR=3.59，95%CL=1.88~7.09）、参与多项研究（OR=3.86，95%CL=1.87~8.27）、有退出研究的意愿（OR=11.49，95%CL=3.69~43.83）以及被问及个人隐私问题（OR=6.23，95%CL=3.28~12.23）。 研究结论 莫索里奥特社区曾参与多次研究的居民中，研究疲劳患病率高达56.3%，其发生与年龄、性别、收入来源、研究场景、研究参与频次、退出研究的意愿以及对调研问题的不适感密切相关。缓解研究疲劳有助于提升研究伦理规范的执行水平，并推动社区持续参与科研工作。