Raj Jeffrey Pradeep, Norris Joshua Jonathan, Ploriya Shervin
Department of Pharmacology, St. Johns Medical College, Bengaluru, Karnataka, India.
School of Nursing, Church of South India, Erode, Tamil Nadu, India.
J Family Med Prim Care. 2020 Jan 28;9(1):82-86. doi: 10.4103/jfmpc.jfmpc_497_19. eCollection 2020 Jan.
Physical inactivity is the fourth leading risk factor for mortality and morbidity as per the World Health Organisation (WHO). The current study was conducted in the city of Erode, Tamil Nadu, South India, to estimate the prevalence and predictors of low physical activity (LPA) and assess their knowledge with regards to being overweight/obesity.
It was a cross-sectional study conducted over 24 months from July 2015 to June 2017. Multi-stage random sampling was done in 12 randomly chosen corporation wards. All consenting individuals above 18 years of age were included. Data were collected using a semi-structured questionnaire incorporating the validated International Physical Activity Questionnaire (IPAQ).
For the study, 489 individuals were screened and 461 were included. Prevalence of LPA was 49.9% (95% confidence interval [CI]:45.34%, 54.46%). The significant predictors (adjusted odds ratio [OR] [95% CI]) of LPA were patient education 1.129 (1.006, 1.2670); unemployment (2.418 [1.610, 3.631]) and knowledge score (5.172 [1.314, 9.423] 27). In the knowledge assessment, 60.3% of the participants scored less than 50%. The significant predictors of poor knowledge were marital status (unmarried) (3.857 [1.341, 11.091]), lower educational status (1.191 [1.009, 1.362]) and low socioeconomic status (SES) (1.050 [1.005, 1.121]).
Prevalence of LPA in our population is fairly high and there is gross knowledge inadequacy.
根据世界卫生组织（WHO）的数据，身体活动不足是导致死亡和发病的第四大主要风险因素。本研究在印度南部泰米尔纳德邦的埃罗德市进行，旨在估计低身体活动（LPA）的患病率及其预测因素，并评估他们对超重/肥胖的认知情况。
这是一项从2015年7月至2017年6月进行了24个月的横断面研究。在12个随机选择的市政病房中进行多阶段随机抽样。纳入所有年龄在18岁以上且同意参与的个体。使用包含经过验证的国际身体活动问卷（IPAQ）的半结构化问卷收集数据。
本研究共筛查了489人，纳入461人。LPA患病率为49.9%（95%置信区间[CI]：45.34%，54.46%）。LPA的显著预测因素（调整后的优势比[OR][95%CI]）为患者教育程度1.129（1.006，1.2670）；失业（2.418[1.610，3.631]）和知识得分（5.172[1.314，9.423]27）。在知识评估中，60.3%的参与者得分低于50%。知识水平差的显著预测因素为婚姻状况（未婚）（3.857[1.341，11.091]）、较低的教育程度（1.191[1.009，1.362]）和低社会经济地位（SES）（1.050[1.005，1.121]）。
我们研究人群中LPA的患病率相当高，且存在严重的知识不足。
