PDF(Pubmed)
Abstract：
UNASSIGNED: arthritis is a significant public health problem affecting many people globally. Exposure to various risk factors puts individuals at risk of developing arthritis. Therefore, this study aimed to assess the prevalence and predictors of arthritis among residents of a rural set-up in Nyamira County, Kenya.
UNASSIGNED: a community-based cross-sectional study design was employed. Simple random sampling was utilized to select households from a household list. All the residents of the sampled household above 40 years were included. Descriptive analysis was done to describe the study population. Bivariate and multivariate analysis was also done to identify statistically significant arthritis-related variables.
UNASSIGNED: the prevalence of arthritis was 44.6%. Previous joint injury/infection [AOR=2.74; 95%CI=1.59-4.77; p<0.001], being unemployed [AOR=2.77; 95%CI=1.50-5.21; p=0.001], age above 51 years, and hypertension [AOR=1.90; 95%CI=1.03-3.53, p=0.040] were associated with an increased risk of arthritis. Conversely, being male [AOR=0.42; 95% CI=0.22-0.75; p=0.005], standing for > 2 hours [AOR=0.48; 95%CI=0.29-0.81; p=0.006], and constant shifting from sit to stand positions [AOR=0.45; 95% CI=0.26-0.76; p=0.003] were associated with a lower risk of arthritis. Most participants (75%) had an arthritis knowledge score of more than 66%.
UNASSIGNED: the study found a high prevalence of arthritis in the community. Arthritis was strongly associated with various risk factors under study. Therefore, there is a need to take preventive measures for modifiable factors to enhance a reduced prevalence of arthritis.
UNASSIGNED: a community-based cross-sectional study design was employed. Simple random sampling was utilized to select households from a household list. All the residents of the sampled household above 40 years were included. Descriptive analysis was done to describe the study population. Bivariate and multivariate analysis was also done to identify statistically significant arthritis-related variables.
UNASSIGNED: the prevalence of arthritis was 44.6%. Previous joint injury/infection [AOR=2.74; 95%CI=1.59-4.77; p<0.001], being unemployed [AOR=2.77; 95%CI=1.50-5.21; p=0.001], age above 51 years, and hypertension [AOR=1.90; 95%CI=1.03-3.53, p=0.040] were associated with an increased risk of arthritis. Conversely, being male [AOR=0.42; 95% CI=0.22-0.75; p=0.005], standing for > 2 hours [AOR=0.48; 95%CI=0.29-0.81; p=0.006], and constant shifting from sit to stand positions [AOR=0.45; 95% CI=0.26-0.76; p=0.003] were associated with a lower risk of arthritis. Most participants (75%) had an arthritis knowledge score of more than 66%.
UNASSIGNED: the study found a high prevalence of arthritis in the community. Arthritis was strongly associated with various risk factors under study. Therefore, there is a need to take preventive measures for modifiable factors to enhance a reduced prevalence of arthritis.
摘要：
关节炎是影响全球许多人的重大公共卫生问题。暴露于各种危险因素使个体处于患关节炎的风险中。因此,这项研究旨在评估Nyamira县农村地区居民关节炎的患病率和预测因素，肯尼亚。
■采用了基于社区的横断面研究设计。使用简单随机抽样从家庭列表中选择家庭。包括40岁以上抽样家庭的所有居民。进行描述性分析以描述研究人群。还进行了双变量和多变量分析以鉴定统计学上显著的关节炎相关变量。
■关节炎的患病率为44.6%。先前的关节损伤/感染[AOR=2.74;95CI=1.59-4.77;p<0.001]，失业[AOR=2.77；95CI=1.50-5.21；p=0.001]，年龄在51岁以上，高血压[AOR=1.90;95CI=1.03-3.53,p=0.040]与关节炎风险增加相关.相反，男性[AOR=0.42；95%CI=0.22-0.75；p=0.005]，静置>2小时[AOR=0.48;95CI=0.29-0.81;p=0.006]，和从坐到站的位置不断转换[AOR=0.45;95%CI=0.26-0.76;p=0.003]与较低的关节炎风险相关.大多数参与者（75％）的关节炎知识得分超过66％。
■该研究发现社区中关节炎的患病率很高。关节炎与研究中的各种危险因素密切相关。因此,有必要针对可改变的因素采取预防措施，以降低关节炎的患病率。
■采用了基于社区的横断面研究设计。使用简单随机抽样从家庭列表中选择家庭。包括40岁以上抽样家庭的所有居民。进行描述性分析以描述研究人群。还进行了双变量和多变量分析以鉴定统计学上显著的关节炎相关变量。
■关节炎的患病率为44.6%。先前的关节损伤/感染[AOR=2.74;95CI=1.59-4.77;p<0.001]，失业[AOR=2.77；95CI=1.50-5.21；p=0.001]，年龄在51岁以上，高血压[AOR=1.90;95CI=1.03-3.53,p=0.040]与关节炎风险增加相关.相反，男性[AOR=0.42；95%CI=0.22-0.75；p=0.005]，静置>2小时[AOR=0.48;95CI=0.29-0.81;p=0.006]，和从坐到站的位置不断转换[AOR=0.45;95%CI=0.26-0.76;p=0.003]与较低的关节炎风险相关.大多数参与者（75％）的关节炎知识得分超过66％。
■该研究发现社区中关节炎的患病率很高。关节炎与研究中的各种危险因素密切相关。因此,有必要针对可改变的因素采取预防措施，以降低关节炎的患病率。
