Evidence map›Paper›PMID 25402350›Full record

ArticleMedical principles and practice : international journal of the Kuwait University, Health Science Centre2015

Impact of parity on obesity: a cross-sectional study in Iranian women.

Mahmoud Hajiahmadi, Hamid Shafi, Mouloud Agajani Delavar

Abstract read
In one paragraph

Article in Medical principles and practice : international journal of the Kuwait University, Health Science Centre, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing 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

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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

13 citing papers in PubMed.

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  6. Maternal Obesity and Its Associated Factors and Outcomes in Klang Valley, Malaysia: Findings from National Obstetric Registry.Malaysian family physician : the official journal of the Academy of Family Physicians of Malaysia · 2021
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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

3 authors.

Mahmoud HajiahmadiDepartment of Social Medicine and Health, Babol University of Medical Sciences, Babol, Iran.
Hamid Shafi
Mouloud Agajani Delavar

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveThe aim of the present study was to analyze whether or not parity influenced the prevalence of obesity in both pre- and postmenopausal women. SUBJECTS AND

methodsA cross-sectional study was conducted on characteristics of urban women regarding parity. A total of 1,620 women aged 45-63 years were selected using cluster sampling. A face-to-face household interview was conducted by trained, skillful personnel. A risk factor questionnaire was used to obtain information on reproductive history and sociodemographic factors. Statistical associations between parity and obesity using logistic regression were then investigated.

resultsThe mean BMI was 29.1 ± 5.1, and 96.8% of the sample population were parous, with a median of 4 births. Of the total women enrolled, 216 (13.3%) had <3 parities, while 1,404 (86.7%) had ≥3 parities. The prevalence of obesity (BMI ≥30) was 38.3%, diagnosed at a mean age of 51.4 ± 5.2 years. After adjustment for a range of potential confounders (age, marital status, employment, education, smoking status, abortion history, savings situation and menopausal status), women with ≥3 parities were at higher risk of being obese (OR 1.74, 95% CI 1.24-2.45; p = 0.001).

conclusionA positive association was observed between the number of parities and obesity. The findings of this study suggest that the BMI is associated with high parity in Babolian women. Health policymakers should work with health providers to develop appropriate postpartum weight loss interventions.

Indexed as

ParityBody Mass IndexCluster AnalysisConfounding Factors, EpidemiologicCross-Sectional StudiesFemaleHumansIranLogistic ModelsMiddle AgedObesityPostmenopausePregnancyPremenopausePrevalenceSurveys and Questionnaires

Identifiers

PMID25402350
PMCPMC5588186

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LicenceCC BY-NC
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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.