Physical activity levels among the adults of Majha region of Punjab, India

A cross‐sectional study

Bibliographic Data

ID19458596
AuthorsHarmandeep Singh (0000-0003-0997-7777, Department of Physical Education Apeejay College of Fine Arts Jalandhar Punjab India, corresponding author), Sukhdev Singh (0000-0001-6282-4281, Department of Physical Education (T) Guru Nanak Dev University Amritsar Punjab India), Amandeep Singh (0000-0003-3689-4803, Department of Physical Education (T) Guru Nanak Dev University Amritsar Punjab India), Julien Steven Baker (0000-0002-9093-7897, Hong Kong Baptist University)
Year2021
Volume33
Issue6
Pagese23533-e23533
Publication date2021-11-01
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueAmerican Journal of Human Biology (JOURNAL)
Journal identifiersISSN: 1042-0533 • E-ISSN: 1520-6300
PublisherWiley (PUBLISHER • GB)
DOI10.1002/ajhb.23533
PMID33174286
OpenAlexW3105634733
LanguageEN
Citations received2
References cited35

OBJECTIVES: To construct a physical activity profile of the adult population of the Majha region of the Indian Punjab. METHODS: 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. RESULTS: 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. CONCLUSIONS: 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

Blood pressure · Confidence interval · Cross-sectional study · Diabetes mellitus · Environmental health · Family history · Logistic regression · Obesity · Overweight · Physical activity · Physical therapy · Population · Residence · Stepwise regression · Demography · Medicine · Mobile Health and mHealth Applications · Obesity, Physical Activity, Diet · Physical Activity and Health · Gerontology · Internal Medicine

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