Evidence map›Paper›PMID 40358896›Full record

ArticleAdvances in therapy2025

Understanding Epidemiology of Physical Activity and Sedentary Behaviour Among Adults in Haryana: Insights from the ICMR-INDIAB Study [ICMR-INDIAB-19].

Madhur Verma, Sanjay Kalra, Mohan Deepa, Ulagamadesan Venkatesan, Nikita Sharma, Rajendra Pradeepa, Kirti Chauhan, Omna Singh, Nirmal Elangovan, Sameer Aggarwal and 5 more

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Article in Advances in therapy, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

15 authors.

Madhur Verma *Department of Community and Family Medicine, All India Institute of Medical Sciences Bathinda, Bathinda, India.ORCID http://orcid.org/0000-0002-1787-8392
Sanjay Kalra *Department of Endocrinology, Bharti Hospital, Karnal, India. brideknl@gmail.com.ORCID http://orcid.org/0000-0003-1308-121X
Mohan DeepaDepartment of Epidemiology, Madras Diabetes Research Foundation, Chennai, India.ORCID http://orcid.org/0000-0001-6348-1946
Ulagamadesan VenkatesanDepartment of Bio-Statistics, Madras Diabetes Research Foundation, Chennai, India.ORCID http://orcid.org/0000-0002-1638-6046
Nikita SharmaDepartment of Community and Family Medicine, All India Institute of Medical Sciences Bilaspur, Bilaspur, India.ORCID http://orcid.org/0000-0003-3242-2366
Rajendra PradeepaDepartment of Research Operations and Diabetes Complications, Madras Diabetes Research Foundation, Chennai, India.ORCID http://orcid.org/0000-0002-4909-3733
Kirti ChauhanIndian Institute of Public Health, Shillong (IIPHs), Meghalaya, India.ORCID http://orcid.org/0000-0002-6208-9229
Omna SinghDepartment of Community and Family Medicine, All India Institute of Medical Sciences Bathinda, Bathinda, India.
Nirmal ElangovanDepartment of Research Operations and Diabetes Complications, Madras Diabetes Research Foundation, Chennai, India.
Sameer AggarwalDepartment of Endocrinology, Apex Hospitals, Rohtak, India.
Rakesh KakkarDepartment of Community and Family Medicine, All India Institute of Medical Sciences Bathinda, Bathinda, India.
R S DhaliwalDivision of Non-Communicable Diseases, Indian Council of Medical Research, Department of Health Research, Ministry of Health and Family Welfare, Ansari Nagar, New Delhi, 110029, India.
Tanvir KaurDivision of Non-Communicable Diseases, Indian Council of Medical Research, Department of Health Research, Ministry of Health and Family Welfare, Ansari Nagar, New Delhi, 110029, India.
Viswanathan MohanMadras Diabetes Research Foundation, Dr. Mohan's Diabetes Specialties Centre, Chennai, India.ORCID http://orcid.org/0000-0001-5038-6210
Ranjit Mohan AnjanaMadras Diabetes Research Foundation, Dr. Mohan's Diabetes Specialties Centre, Chennai, India.ORCID http://orcid.org/0000-0002-4843-1374

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionPhysical inactivity contributes to non-communicable disease (NCD) health burden, making it essential to study and address this issue at a population level. The present research aims to explore the patterns of physical activity (PA) in Haryana through a subgroup analysis of the national Indian Council of Medical Research-India Diabetes (ICMR-INDIAB) study.

methodsThis study was conducted between December 2018 and July 2019 in Haryana and included 3918 adult participants. Physical activity was assessed using the validated MDRF Physical Activity Questionnaire (MPAQ), which has domain-wise assessments of PA. Weighted prevalence was estimated using state-specific sampling weights, and associations between PA, anthropometric and biochemical profiles were assessed using bivariate analysis done using Student's unpaired t tests, one-way analysis of variance (ANOVA), or chi-square tests. Factors describing the likelihood of being active were ascertained using a multivariable nominal regression analysis.

resultsAbout 73% of the study participants were physically inactive, and only 27% were moderately to vigorously active. The time spent in different PA domains varied significantly across sociodemographic variables, including sex, education, region, occupation, and socioeconomic status. Participants from the middle socioeconomic class spent more time in work-related PA, compared to low and upper-class participants who spent more time in general and transport-related PA. There were significant statistical differences between active and non-active groups concerning their mean blood glucose levels, body mass index, waist circumference and systolic blood pressure, but the differences in the lipid profile were non-significant. However, regression analysis showed higher odds of being physically active among younger participants, men, residents in rural areas, and those having fewer years of education.

conclusionWe highlight the alarmingly high prevalence of physical inactivity across different segments of society in Haryana with significant sociodemographic disparities. Considering the increasing prevalence of NCDs, it is high time to prioritise health promotion measures and inculcate more physical activity amongst the population to achieve health-related sustainable development goals.

Indexed as

ExerciseSedentary BehaviorAdultCross-Sectional StudiesFemaleHumansIndiaMaleMiddle AgedPrevalenceSocioeconomic FactorsSurveys and QuestionnairesYoung AdultBehavioural risk factorsDiabetesICMR-INDIAB studyNon-communicable diseasesObesityPhysical activitySedentary behaviour

Identifiers

PMID40358896

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.