Level of Physical Activity in Population Aged 16 to 65 Years in Rural Kerala, India

Aslesh, O. P.; Mayamol, P.; Suma, R. K.; Kalawat, Usha; Ghani, Sheeba; Jayasree, A. K.

doi:10.1177/1010539515598835

Cited by 20 publications

(16 citation statements)

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“…13 In the majority of studies, there was a significant association between the age and physical activity levels. 5,6,12,18,20 In our study, along with a significant association, we also found that the trend for sedentary activity was decreasing as the age increases and was significant. This is a physiological process that as the age increases, the physical capacity of individual decreases and thus the physical activity level.…”

Section: Discussionsupporting

confidence: 79%

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A study of physical activity levels and its correlates among adults: a cross-sectional study

Patil

Dhoble

Kaware

2017

Int J Community Med Public Health

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INTRODUCTIONEvery year 38 million people succumb to death all over the world due to non-communicable diseases (NCD). Three-fourths of these deaths occur in low and middleincome countries like India. The probability of dying between 30 to 70 years in India is about 26 %, the cause being NCD's.1 A set of risk factors is attributed in the causation of these new generation epidemic diseases affecting the population across the World. These risk factors are tobacco, insufficient physical activity, harmful use of alcohol, unhealthy diet, raised blood pressure, overweight and obesity and raised cholesterol. Insufficient physical activity increases the risk of diabetes, breast and colon cancers, high blood pressure and depression. According to World Health Organisation, 23 % of the population are physically inactive globally. It amounts to be the 4 th leading risk factor for global mortality. 3Globalization and urbanisation affected the interests in ABSTRACT Background: Three fourth of the world's death burden is shared by low to middle income countries due to noncommunicable diseases. Physical inactivity is one of the important preventable risk factor in non-communicable diseases. It amounts to 4 th leading risk factor for global mortality. Hence, this study was conducted to study the physical activity level and its correlates among adult patients attending health training centres in Nagpur. Methods: A cross sectional study was conducted among adult patients attending the health centres of Indira Gandhi Government Medical College. Pregnant women, lactating women, debilitated patients and patients not giving consent were excluded from the study. A preformed and pretested questionnaire was used to conduct the interviews which included socio-demographic variables like age, sex, and educational status. Anthropometric measurements and blood pressure were measured according to the standard guidelines. The physical activity level was calculated using the principles of 1985 FAO/WHO/UNU expert consultation (WHO, 1985). Results: Of 200 study subjects, 59% were having a sedentary lifestyle, 27% were having a moderately active lifestyle and 14% were having a vigorously active lifestyle. A statistically significant increasing trend for sedentary study subjects (p =0.002 with age was found. Those who reported sedentary physical activity levels had 3.42 odds of being hypertensive, 7.44 times odds of being diabetic, 3 times odds of being overweight and 2.41 odds of being obese. The adults in urban areas were having significantly less physical activity levels when compared rural areas. Conclusions: Higher levels of sedentary lifestyle were found in urban areas compared to rural areas. As the age increased the sedentary lifestyle was having a significantly increasing trend. Physical activity was associated with the diabetic status, hypertensive status, and obesity status.

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Section: Discussionsupporting

confidence: 79%

“…Various studies have been conducted across the world to assess the physical activity levels among all age groups. [5][6][7][8][9][10][11][12][13][14][15][16][17][18][19][20][21] This study is an attempt to focus on the physical activity levels and its correlates among adults of central India.…”

Section: Introductionmentioning

confidence: 99%

A study of physical activity levels and its correlates among adults: a cross-sectional study

Patil

Dhoble

Kaware

2017

Int J Community Med Public Health

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“…The proportion of low-level physical activity among Mongolian adults, 10.9% in 2005 and 27.2% in 2013, was similar to that in a study from Thailand, which reported a proportion of 26.0% in 2014 23 ) and lower than those reported in studies from Bangladesh 24 ) , India 25 ) , and Vietnam 21 , 26 ) . Physical activity time of Mongolian adults was similar to the study from Vietnam 21 ) and longer than those of Bangladesh 24 ) , India 25 ) . The comparatively high level and longer time of physical activity of Mongolian adults were attributed to long leisure physical activity time compared to other study subjects 27 ) .…”

Section: Discussionsupporting

confidence: 79%

“…Employee workers were more likely to engage in leisure physical activity than were self-employed workers in the present study. Previous studies indicated affordability and accessibility affected leisure-time physical activity among white-collar workers 25 , 36 , 37 , 38 ) . To our knowledge, there is no previous record of physical activity facilities in Mongolia; however, a national report published in 2017 on leisure-time physical activity facilities reported that Mongolia has 98 sport complex in the country and 18 swimming pools, 58% of sport complex and 77% of swimming pools are located in urban area 39 ) .…”

Section: Discussionmentioning

confidence: 96%

Changes in the configuration and patterns of physical activity among Mongolian adults, 2005–2013

et al. 2018

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Objective: This study examined the change in physical activity status and patterns and their associations with urban and rural residence and employment status in Mongolia.Methods: We analyzed data from 7,738 adults aged from 20 to 64 years (n = 2,877 and 4,861 for 2005 and 2013, respectively) from the Mongolian STEPS Survey on the Prevalence of Non-Communicable Disease Risk Factors (NCD-STEPS survey). Physical activity in three domains, including work (occupational and household work); transport (walk or cycling); and leisure (sport or fitness) was measured by Global Physical Activity Questionnaire (GPAQ). Physical activity levels were classified into three groups: low, moderate, and high according to the GPAQ analysis framework. The associations between physical activity time, residential area, and employment status were examined using a multivariate negative binomial regression model.Results: The percentage of respondents with low-level physical activity increased from 10.9% in 2005 to 27.2% in 2013. The median minutes of physical activity time per week were 1,020 in 2005 and 600 in 2013. Physical activity time at work, transport and overall decreased in 2013. Work-related physical activity was the most dominant component of physical activity time (55.6% in 2005 and 54.6% in 2013), the transport domain was the second-highest contributor of physical activity time in 2005 (24.0%) and was replaced by the leisure domain (26.8%) in 2013. Rural residents practiced more physical activity at work, transport, and leisure than urban residents did in 2005 (prevalence ratio [PR]: 1.33, 95% confidence interval [CI]: 1.20–1.47; PR: 1.21, 95%CI: 1.14–1.29; and PR: 1.21, 95%CI: 1.13–1.30, respectively), but there was no significant difference by residential area in 2013. Mongolian adults with higher educational attainment, employee status, and non-employment status were less likely to engage in physical activity compared to those among adults with lower educational attainment and self-employed status.

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“…The study concluded that more behavioral change activities are warranted to increase recreational physical activity. 10 Noncommunicable diseases are preventable through various health education and promotional activities and the reduction the sociobehavioral risk factors, such as physical inactivity, tobacco use, harmful use of alcohol, and unhealthy diet and other lifestyle changes. Further research is needed to develop more innovative preventive strategies, early detection, improved health care, and timely services and also to evaluate the effectiveness of population-based interventions to prevent NCDs from escalating in Asia.…”

Section: Smentioning

confidence: 99%

The Threat of Noncommunicable Diseases in South Asia

Low

2015

Asia Pac J Public Health

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The burden of noncommunicable diseases (NCDs) is increasing with the rapid urbanization, modernization and the lifestyle changes that are taking place in Asia, leading to the double burden of disease. Low-and middle-income countries currently account for 80% of all NCDs related mortality and exceeding those due to communicable diseases, maternal, neonatal, and injury-related deaths combined. 1 The sociobehavioral risk factors of NCDs are common characteristics of Asian countries facing the economic transition and the changing lifestyles, and this is affecting the achievement of the Millennium Development Goals focusing on health and the social determinants.Cardiovascular disease (CVD) was the leading cause of NCD deaths in 2012 and was responsible for 17.5 million deaths. 1 Four major NCDs (cardiovascular diseases, cancer, chronic respiratory diseases, and diabetes) are responsible for 82% of NCD deaths. Of the 17.5 million deaths due to CVDs in 2012, an estimated 7.4 million were due to heart attacks and 6.7 million were due to strokes. 2 More than 80% of cardiovascular deaths occur in low-and middle-income countries. In 2012, heart disease and stroke were among the top 3 causes of years of life lost due to premature mortality globally. 3 Metabolic syndrome is a significant predictor of CVDs and it was shown that better knowledge and health practices were associated with decrease in CVD risk-markers in Sri Lankan urban adults with metabolic syndrome. 4 In Asia, the risen prevalence of diabetes is a cause of public health concern. The global prevalence of diabetes in 2014 was estimated to be 9%. 1 Diabetes was responsible for 4% and other NCDs were responsible for approximately 24% of NCD deaths in those younger than 70 years. 1 Diabetic complications are escalating and the understanding of patient's help-seeking behavior in terms of health promotion is warranted. It has been shown that social influences play a significant role in help-seeking process and depends not only on the capacity of the individual but also on the social networks within the health system. 5 Raised blood pressure is estimated to have caused 9.4 million deaths and 7% of disease burden, as measured in disability-adjusted life years (DALYs) in 2010. 1 In 2014, the global prevalence of raised blood pressure in adults aged 18 years and older was around 22% and higher in low-and middle-income countries. 1 Psychosocial determinants of hypertension have also been linked to the pathogenesis of hypertension. Among others, stress related to work is one of them. The risk of hypertension was found to increase with high levels of overcommitment and the prevalence of effort-reward imbalances among managerial and administrative officers. 6 In another study, there were significant sociodemographic correlates with prehypertension, such as upper socioeconomic status, obese individuals, male gender, those who smoked and consumed alcohol, and had low physical activity. 7

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Level of Physical Activity in Population Aged 16 to 65 Years in Rural Kerala, India

Cited by 20 publications

References 12 publications

A study of physical activity levels and its correlates among adults: a cross-sectional study

A study of physical activity levels and its correlates among adults: a cross-sectional study

Changes in the configuration and patterns of physical activity among Mongolian adults, 2005–2013

The Threat of Noncommunicable Diseases in South Asia

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