Evidence map›Paper›PMID 40791644›Full record

ArticleMethodsX2025

A national survey-based method for monitoring noncommunicable disease risk factors among adolescents aged 15-17 years across India.

Kalpanapriya D, Sadanandam Vemula

Abstract read
In one paragraph

Article in MethodsX, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

2 authors.

Kalpanapriya DVellore Institute of Technology, India.
Sadanandam VemulaVellore Institute of Technology, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The National Noncommunicable Disease Monitoring Survey (NNMS) was designed to generate nationally representative estimates of key NCD risk factors and contribute to India's national framework for NCD surveillance. This article presents the methodology and key findings related to adolescents aged 15-17 years. The NNMS was a cross-sectional, community-based survey conducted across India during 2017-2018. It was implemented by the Indian Council of Medical Research (ICMR) and the National Centre for Disease Informatics and Research (NCDIR), in collaboration with ten reputed research institutes covering both urban and rural areas. Standardized tools and procedures were employed to ensure consistency and data quality across sites. The survey achieved a high overall response rate of 96.6 %, with participation from 1531 adolescents and 1402 households. Key findings indicate that 3.1 % (95 % CI: 2.0 %-4.7 %) of adolescents reported current daily tobacco use, while 25.2 % (95 % CI: 22.2 %-28.5 %) engaged in insufficient physical activity. Conversely, 74.8 % (95 % CI: 71.5 %-77.8 %) met recommended physical activity levels. Information on dietary behaviors and alcohol use was also collected. As the first nationally representative survey focusing on adolescent NCD risk factors, the NNMS provides crucial baseline data to support India's NCD Action Plan and inform future prevention and control strategies at national and sub-national levels.•This study presents the first nationally representative methodology to estimate NCD risk factors among Indian adolescents aged 15-17 years.•Multistage, community-based sampling design and digital data collection protocol ensured high coverage and data quality across 27 states.•The method is adaptable for state-level surveillance and supports national action plans for adolescent NCD prevention and control.

Indexed as

Alcohol consumptionCross-sectional studyNCD risk factorsPrevalenceTobacco use

Identifiers

PMID40791644
PMCPMC12337017

What OpenQuestion holds

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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.