Evidence map›Paper›PMID 37571341›Full record

ArticleNutrients2023

Diets, Lifestyles and Metabolic Risk Factors among Corporate Information Technology (IT) Employees in South India.

Paromita Banerjee, G Bhanuprakash Reddy, Hrusikesh Panda, Kiran Kumar Angadi, Thirupathi Reddy, SubbaRao M Gavaravarapu

Open access · goldAbstract read
In one paragraph

Article in Nutrients, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
1.4field-weighted citation impact, top 19% of its field
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

5 citing papers in PubMed, 8 citations in OpenAlex.

  1. Article
  2. Article
  3. Prevalence of Metabolic Dysfunction-Associated Steatotic Liver Disease: Mapping Across Different Indian Populations (MAP Study).Diabetes therapy : research, treatment and education of diabetes and related disorders · 2025
    Article
  4. Article
  5. Article
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

6 authors at 1 institution in 1 country.

Paromita BanerjeeNutrition Information, Communication & Health Education (NICHE) Division, ICMR-National Institute of Nutrition, Hyderabad 500007, Telangana, India.ORCID 0000-0001-7122-8561
G Bhanuprakash ReddyBiochemistry Division, ICMR-National Institute of Nutrition, Hyderabad 500007, Telangana, India.ORCID 0000-0003-4787-3944
Hrusikesh PandaNutrition Information, Communication & Health Education (NICHE) Division, ICMR-National Institute of Nutrition, Hyderabad 500007, Telangana, India.
Kiran Kumar AngadiBiochemistry Division, ICMR-National Institute of Nutrition, Hyderabad 500007, Telangana, India.
Thirupathi ReddyNutrition Information, Communication & Health Education (NICHE) Division, ICMR-National Institute of Nutrition, Hyderabad 500007, Telangana, India.ORCID 0000-0002-6329-7206
SubbaRao M GavaravarapuNutrition Information, Communication & Health Education (NICHE) Division, ICMR-National Institute of Nutrition, Hyderabad 500007, Telangana, India.
National Institute of Nutrition · IN

Funding

National Institute of Nutrition intramural
6 · The paper itself

Abstract

(1) Information Technology (IT) Business Process Outsourcing (BPO), the largest employment sector of India, contributes to rapid economic growth. However, the work of IT employees is sedentary, and the food environments of their worksites expose them to an obesogenic environment. This study aimed to assess their metabolic and lifestyle risk factors. (2) Methods: To examine the health and nutrition status of IT employees, anthropometric, biochemical and clinical assessments were conducted among 183 employees from three IT organizations of varied operational sizes. Their health-, diet- and physical activity-related practices were assessed using a questionnaire. The prevalence of MetS was assessed. Selected biomarker levels were assessed and associated with their self-perceived stress levels. (3) Results: The median age of the employees was 30 years (26-35 years). While 44.02% of employees were overweight, 16.85% of employees were obese. About 3.89% of employees were found to be diabetic, and HDL-C levels were lower than recommended in 64.93% of employees. In all, 29.87% of the study population were considered to have metabolic syndrome since they had metabolic risk scores ≥ 3. Those with metabolic syndrome were significantly older (

Indexed as

Metabolic SyndromeAdultDietHumansInformation TechnologyLife StyleRisk FactorsWorkplaceemployee healthworkplace wellness

Identifiers

PMID37571341
PMCPMC10421222
OpenAlexW4385416538

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.