This study investigates the patterns of physical activity, associations between physical activity and the prevalence of obesity (defined by BMI), adiposity markers and physiological markers. Methods: The sample included 418 adults of both gender in the age group of 20-55 years. Design: Cross-sectional study and sample included adult volunteers of both gender. Participants underwent anthropometric measurements, blood pressure measurement and assessment of physical activity. Physical activity level was assessed using the Global Physical Activity Questionnaire (GPAQ). Result: Total physical activity measured in mean MET minutes/week was 400.3 for males and 265.3 for females. Males (34.2%) had slightly greater level of moderate physical activity as compared to females (30.3%). Over all, the ORs of lower physical activity were higher in females of all the anthropometric indices. Odds of physical activity in overweight participant among males were 1.21 while in females it was 1.696. The odds of lower physical activity showed association with CI (males, OR-1.118; females, OR-2.781, WC (males, OR-1.026; females, OR-1.194), BMI (males, OR-1.211; females, OR-1696) and blood pressure (SBP-males, OR-1.105; females, OR-1.237; DBP-males; OR-1.174, females; OR-1.355). No significant association was found between physical activity and AVI. Conclusion: Majority of adults were physically inactive. BMI, WC and CI were all significant predictors of physical inactivity. Physical inactivity was associated with obesity and blood pressure.
Aim of the present study was to assess physical activity, nutrition and psychological status of the population during lockdown due to covid-19. Online survey was conducted among 534 participants within the age range of 16-78 years using convenient sampling. Participants from varied regions within India and abroad were enrolled for the present study. Volunteered participants were solicited to take part in a survey that has to be carried out by filling an online questionnaire form available to them as a URL link in the invitation through WhatsApp/Messenger. The gathered data has been compiled, coded and cleaned using Microsoft Excel. Analysis has been carried out employing descriptive and inferential statistics in SPSS 17.0. Majority of participants in the studied population showed significant change in their nutrition and physical activity status due to lockdown. Covid-19 lockdown did limit their daily activities. It also had impacted their psychological status. The current investigation accentuates the need to pursue suitable life style for the maintenance of optimum metabolism and physiology. Sticking to more regular timetable of meals, effective management of stress levels and continued physical activity during the quarantine and in all the following phases of living is desirable.
Adolescents and young adult comprise a significant proportion of India’s population. Although, this group of the population faces serious challenges to their health and well-being. To promote their health and well-being, Centre of Excellence (CoE) at King George’s Medical University, Lucknow, India, serves as an advanced care facility for 10–24-year-old adolescents and young adult women. This paper reports the socio-demographic characteristics of, and health services availed to adolescents and young adults who are visiting the CoE in Lucknow, India. A total of 6038 beneficiaries received clinical services during June 2018–March 2022. Out of total clinical services, 38.37% counselling and 37.53% referral services were utilised. Menstruation (46.29%), sexual and reproductive (28.19%), nutrition (5.91%), and mental health (1.67%) related problems were highly reported. The age of beneficiaries is classified into three categories, i.e., 10–14, 15–19, and 20–24 years. Prevalence of overweight was highest among adolescents aged 20–24 years compared to other age groups. Other than nutrition, late-adolescent girls (15–19) faced more health problems than their counterparts. The percentage of beneficiaries decreased significantly during and post the COVID-19 period (<0.001). Therefore, age-specific programs are currently needed, and interventions need to be designed accordingly.
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