Evidence map›Paper›PMID 38439011›Full record

ArticleBMC public health2024

Assessing the modifiable and non-modifiable risk factors associated with multimorbidity in reproductive aged women in India.

Priya Das, Subhadeep Saha, Tanu Das, Partha Das, Tamal Basu Roy

Open access · goldAbstract read
In one paragraph

Article in BMC public health, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed, 1 pooled it
2.7field-weighted citation impact, top 10% 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

6 citing papers in PubMed, 1 synthesis or guideline pooled it, 7 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Association of healthy eating behaviours and comorbidity on quality of life among adults with beta-thalassemia major: a moderation analysis.Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation · 2025
    Article
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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

5 authors at 1 institution in 1 country.

Priya DasDepartment of Geography, University of Gour Banga, 732101, Malda, West Bengal, India.ORCID 0000-0001-5552-8986
Subhadeep SahaDepartment of Geography, Raiganj University, 733134, Uttar Dinajpur, West Bengal, India.ORCID 0009-0006-9020-2440
Tanu DasDepartment of Geography, Raiganj University, 733134, Uttar Dinajpur, West Bengal, India.ORCID 0000-0003-1781-1400
Partha DasDepartment of Geography, Raiganj University, 733134, Uttar Dinajpur, West Bengal, India.ORCID 0000-0001-9474-7225
Tamal Basu RoyDepartment of Geography, Raiganj University, 733134, Uttar Dinajpur, West Bengal, India. tamalbasuroy@gmail.com.ORCID 0000-0003-3256-8904
Raiganj University · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundReproductive span is the foundation of every woman's health in later life. India is currently facing a growing burden of multiple morbidities among the women in their reproductive age group which may further increase over the coming decades. The purpose of the present study aimed to identify different modifiable and non-modifiable risk factors affecting multimorbidity among the women in reproductive age group in Indian context.

methodsSecondary data were obtained from the Demography and Health Survey (DHS), conducted in India during 2019-2021. A total of 671,967 women aged 15-49 years were selected for this present study. Descriptive, association studies and multinominal logistic regression analyses were performed to accomplish the objectives.

resultsCurrently, 6.3% of total study participant's reproductive age group women suffered from multimorbidity in India. Never consuming protein, fruits, vegetables and milk increase the chances of developing multimorbidity. Consumption of fried foods, aerated drinks and addiction towards tobacco and alcohol also has a greater influence on the prevalence of multimorbidity. The prevalence of multimorbidity is sharply increased with increasing age and Body Mass Index (BMI). Regionally, the prevalence of multimorbidity was found more among the women hailed from eastern and north-eastern India.

conclusionTo reduce the risk of developing multimorbidity, targeted interventions are needed in the form of educating every woman concerning the importance of having minimum health-related knowledge, maintaining healthy lifestyle, weight management and having proper and balanced diet.

Indexed as

Behavior, AddictiveMultimorbidityAdolescentAdultAsian PeopleFemaleFruitHumansIndiaMiddle AgedYoung AdultIndiaModifiable and non-modifiable risk factorsMultimorbidityReproductive age groupWomen

Identifiers

PMID38439011
PMCPMC10910662
OpenAlexW4392361907

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.