Evidence map›Paper›PMID 40384817›Full record

ArticleIndian journal of community medicine : official publication of Indian Association of Preventive & Social Medicine

Assessing the Lifestyle-related Determinants among Employees Working in the IT Sector of Pune City.

Anu Mahajan, Ishwa Prerak Desai, Arti Muley

Abstract read
In one paragraph

Article in Indian journal of community medicine : official publication of Indian Association of Preventive & Social Medicine. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

3 authors.

Anu MahajanDepartment of Nutrition and Dietetics, Symbiosis Institute of Health Sciences, Symbiosis International (Deemed) University, Pune, Maharashtra, India.
Ishwa Prerak DesaiDepartment of Nutrition and Dietetics, Symbiosis Institute of Health Sciences, Symbiosis International (Deemed) University, Pune, Maharashtra, India.
Arti MuleyDepartment of Nutrition and Dietetics, Symbiosis Institute of Health Sciences, Symbiosis International (Deemed) University, Pune, Maharashtra, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: The rising prevalence of non-communicable diseases (NCDs) among Indian IT professionals is concerning due to prolonged sitting, sedentary work hours, irregular sleep, limited diet variety, excessive consumption of ultra-processed foods, and heightened stress. This study aimed to assess lifestyle determinants in the IT population to predict future NCD risks. Methods and Materials: A cross-sectional study with 208 participants aged 21-60 years was conducted in Pune. Ethical approval and consent were obtained. Data from various IT sectors used a modified questionnaire incorporating Perceived Stress and IPAQ scales and inquiries on sleep patterns, BMI, ultra-processed food consumption, and substance use. Results: The participants had a mean age of 31.30 ± 6.26 years with a gender ratio of 1.63:1. The mean BMI was 24.41 ± 3.87 kg/m Conclusion: Because of their lifestyle, this population will be at a high risk of major chronic NCDs and should be targeted for an early intervention program. It's essential to prioritize preventive actions like adopting a more active lifestyle, implementing stress management techniques, and embracing healthier dietary choices to safeguard the well-being of individuals in this demographic.

Indexed as

Lifestyle disordersnon-communicable diseasesphysical activity levelssedentary lifestylesleep patternstress levelssubstance abuseultra-processed foods

Identifiers

PMID40384817
PMCPMC12080899

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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.