Department of Physical Education, Apeejay College of Fine Arts, Jalandhar, Punjab, India.
Department of Physical Education (T), Guru Nanak Dev University, Amritsar, Punjab, India.
Am J Hum Biol. 2021 Nov;33(6):e23533. doi: 10.1002/ajhb.23533. Epub 2020 Nov 10.
To construct a physical activity profile of the adult population of the Majha region of the Indian Punjab.
The study included a total of 1130 adult participants aged 18 to 64 years comprising both genders, from rural, urban, and different sociodemographic backgrounds from the four districts of the Majha region of Punjab. The WHO's STEPwise approach to Surveillance instrument for noncommunicable diseases was used to collect data for the selected variables such as physical activity levels, demographic characteristics, behavioral parameters (daily screen time, fruit intake/week, and vegetable intake/week), physical characteristics and self-reported history of cardiovascular diseases, raised blood pressure, diabetes, and raised cholesterol. The likelihood of physical inactivity was predicted based on independent variables using logistic regression analysis.
Overall, 56.81% (95% confidence interval [CI]: 53.9-59.7) of participants were not sufficiently active as per WHO's moderate- to vigorous-intensity recommendations. Obesity and overweight were observed among 40.2% of the participants. Mean minutes/day of smartphone screen time was 86.11 (CI: 79.48-92.71). Mean fruit (4.69 CI: 4.42-4.95) and vegetable (15.35 CI: 15.08-15.62) weekly consumption was lower than the WHO's recommendations. Work status, residence, annual household income, smartphone screen time, history of raised blood pressure, history of diabetes, and history of raised cholesterol were significant predictors of insufficient physical activity.
Our study found a high prevalence of physical inactivity. Being a government employee, being an urban resident, having a middle-level annual household income, high smartphone screen time and having a history of raised blood pressure, diabetes, and raised cholesterol were all significant predictors of physical inactivity.
构建印度旁遮普邦马查地区成年人的体力活动概况。
本研究共纳入 1130 名 18 至 64 岁的成年参与者,包括来自旁遮普邦马查地区四个区的农村、城市和不同社会人口背景的男女。采用世界卫生组织非传染性疾病监测 STEPwise 方法工具收集数据,包括体力活动水平、人口统计学特征、行为参数(每日屏幕时间、每周水果摄入量和每周蔬菜摄入量)、身体特征和心血管疾病、高血压、糖尿病和高胆固醇的自述史。使用逻辑回归分析根据自变量预测体力活动不足的可能性。
总体而言,根据世界卫生组织的中高强度体力活动建议,56.81%(95%置信区间 [CI]:53.9-59.7)的参与者没有足够活跃。参与者中有 40.2%存在肥胖和超重。智能手机屏幕时间的平均每日分钟数为 86.11(CI:79.48-92.71)。每周水果(4.69 CI:4.42-4.95)和蔬菜(15.35 CI:15.08-15.62)的平均摄入量低于世界卫生组织的建议。工作状态、居住地点、年家庭收入、智能手机屏幕时间、高血压史、糖尿病史和高胆固醇史是体力活动不足的重要预测因素。
我们的研究发现体力活动不足的发生率很高。作为政府雇员、城市居民、中等水平的年家庭收入、高智能手机屏幕时间以及高血压、糖尿病和高胆固醇的病史都是体力活动不足的显著预测因素。