Evidence map›Paper›PMID 36707805›Full record

ArticleBMC public health2023

Pattern of weight gain in pregnant women in slum areas of Hamadan using multilevel ordinal regression.

Zohreh Manoochehri, Abbas Moghimbeigi, Khadije Ezzati-Rastegar, Javad Faradmal

Open access · goldAbstract read
In one paragraph

Article in BMC public health, 2023. 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, top 98% 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

0 citing papers in PubMed, 0 citations in OpenAlex.

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

4 authors at 2 institutions in 1 country.

Zohreh ManoochehriDepartment of Biostatistics, Student Research Committee, Hamadan University of Medical Sciences, Hamadan, Iran.
Abbas MoghimbeigiDepartment of Biostatistics and Epidemiology, Faculty of Health & Health, Safety and Environment Research Center, Alborz University of Medical Sciences, Karaj, Iran.
Khadije Ezzati-RastegarDepartment of Public Health, School of Public Health, Hamadan University of Medical Sciences, Hamadan, Iran.
Javad FaradmalModeling of Noncommunicable Diseases Research Center, Department of Biostatistics, School of Public Health, Hamadan University of Medical Sciences, Hamadan, Iran. javad.faradmal@umsha.ac.ir.ORCID 0000-0001-5514-3584
Hamedan University of Medical Sciences · IRJahrom University of Medical Sciences · IR

Funding

Vice-chancellor for Research and Technology, Hamadan University of Medical Sciences 9904031998
6 · The paper itself

Abstract

backgroundAdequate gestational weight gain (GWG) is an important factor for maternal and fetal health. This is especially important in low-income and slum areas due to limited access to health services and malnutrition. Thus, the purpose of this study is to evaluate the pattern of GWG changes in the slum areas of Hamadan in Iran.

methodsIn this longitudinal study, the study sample consisted of 509 pregnant women who referred to nine health care clinics in the slum areas of Hamadan. Women's weight gain based on the recommended GWG by U.S. Institute of Medicine (IOM) was divided into three categories: Inadequate weight gain, Adequate weight gain, and Excessive weight gain. In order to evaluate the trend of GWG, a multi-level ordinal model was used.

resultsAccording to pre-pregnancy BMI, a little more than half people (56.6%) were overweight or obese. 85.4% women in the first trimester and 49.1% in the second trimester did not have adequate GWG, but in the third trimester (38.9%) had adequate GWG. Based on multivariate analysis, pre- pregnancy BMI has a significant effect on the odds of inadequate GWG (P-value = 0.021); with one unit increase in pre-pregnancy BMI, the odds of inadequate GWG grows by 1.07 times compared to adequate and excessive GWG.

conclusionsIn general, women did not have adequate weight gain in the first and second trimesters.Thus, designing appropriate interventions to achieve optimal GWG seems to be necessary in slums.

Indexed as

Poverty AreasPregnant PeopleBody Mass IndexFemaleHumansLongitudinal StudiesObesityPregnancyWeight GainGestational weight gainMultilevel ordinal modelsSlum areas

Identifiers

PMID36707805
PMCPMC9883965
OpenAlexW4318263030

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.