scholarly journals Contemporary Digital Home Work

2021 ◽  
pp. 288-307
Keyword(s):  
2020 ◽  
Author(s):  
Shekhar Tomar ◽  
Deepa Mani ◽  
Abhishek Bhatia
Keyword(s):  

2021 ◽  
pp. 097275312199850
Author(s):  
Vivek Podder ◽  
Raghuram Nagarathna ◽  
Akshay Anand ◽  
Patil S. Suchitra ◽  
Amit Kumar Singh ◽  
...  

Rationale: India has a high prevalence of noncommunicable diseases (NCDs), which can be lowered by regular physical activity. To understand this association, recent population data is required which is representative of all the states and union territories of the country. Objective: We aimed to investigate the patterns of physical activity in India, stratified by zones, body mass index (BMI), urban, rural areas, and gender. Method: We present the analysis of physical activity status from the data collected during the phase 1 of a pan-India study. This ( Niyantrita Madhumeha Bharata 2017) was a multicenter pan-India cluster sampled trial with dual objectives. A survey to identify all individuals at a high risk for diabetes, using a validated instrument called the Indian Diabetes Risk Score (IDRS), was followed by a two-armed randomized yoga-based lifestyle intervention for the primary prevention of diabetes. The physical activity was scored as per IDRS (vigorous exercise or strenuous at work = 0, moderate exercise at home/work = 10, mild exercise at home/work = 20, no exercise = 30). This was done in a selected cluster using a mobile application. A weighted prevalence was calculated based on the nonresponse rate and design weight. Results: We analyzed the data from 2,33,805 individuals; the mean age was 41.4 years (SD 13.4). Of these, 50.6% were females and 49.4% were males; 45.8% were from rural areas and 54% from urban areas. The BMI was 24.7 ± 4.6 kg/m 2 . Briefly, 20% were physically inactive and 57% of the people were either inactive or mildly active. 21.2% of females were found physically inactive, whereas 19.2% of males were inactive. Individuals living in urban localities were proportionately more inactive (21.7% vs. 18.8%) or mildly active (38.9% vs. 34.8%) than the rural people. Individuals from the central (29.6%) and south zones (28.6%) of the country were also relatively inactive, in contrast to those from the northwest zone (14.2%). The known diabetics were found to be physically inactive (28.3% vs. 19.8%) when compared with those unaware of their diabetic status. Conclusion: 20% and 37% of the population in India are not active or mildly active, respectively, and thus 57% of the surveyed population do not meet the physical activity regimen recommended by the World Health Organization. This puts a large Indian population at risk of developing various NCDs, which are being increasingly reported to be vulnerable to COVID-19 infections. India needs to adopt the four strategic objectives recommended by the World Health Organization for reducing the prevalence of physical inactivity.


1930 ◽  
Vol 111 (17) ◽  
pp. 483-483
Author(s):  
Arthur Dean
Keyword(s):  

2007 ◽  
Vol 43 (2) ◽  
pp. 503-514 ◽  
Author(s):  
Seungji Yang ◽  
Sang Kyun Kim ◽  
Kyong Sok Seo ◽  
Yong Man Ro ◽  
Ji-Yeon Kim ◽  
...  

2022 ◽  
pp. 1-25
Author(s):  
Sasiwooth Wongmonta

Abstract This paper uses Socio-Economic Surveys covering the period from 2013 to 2019 and the 2015 Time Use Survey to investigate the extent to which household consumption changes at retirement in Thailand. A fuzzy regression discontinuity design is applied to evaluate the retirement effect on total household expenditure and expenditures on four major categories: food-at-home, work-related items, non-durable entertainment, and others. The results reveal that retirement decreases household expenditure by 11%. Further investigations show that the dramatic declines in expenditures on work-related and non-durable entertainment contribute significantly to the spending drop at retirement. The magnitudes of the declines are more pronounced for low-income and low-wealth households. The results also indicate that the retirees spend more leisure time on home production activities after retirement. Once accounting for this effect, it finds that the drop in total household expenditure decreases to 6%. These results suggest that the sizable consumption expenditure drop at retirement is due to substituting away from market purchased goods toward home-produced goods.


2011 ◽  
Vol 47 (3pt1) ◽  
pp. 1179-1200 ◽  
Author(s):  
Helena Temkin-Greener ◽  
Shubing Cai ◽  
Nan Tracy Zheng ◽  
Hongwei Zhao ◽  
Dana B. Mukamel

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