Evidence map›Paper›PMID 39321166›Full record

ArticlePloS one2024

Food craving, vitamin A, and menstrual disorders: A comprehensive study on university female students.

Liton Chandra Sen, Ishrat Jahan, Nadia Salekin, Jahid Hasan Shourove, Mosiur Rahman, Md Jamal Uddin, Cuilin Zhang, Davidson H Hamer, G M Rabiul Islam

Registry-linked trialAbstract read
In one paragraph

Article in PloS one, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT07047222 (Behavioral Change Communication Intervention in Menstrual Disorder Management Among Female University Students in Bangladesh), which is not on this map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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.

NCT07047222 nacompletednot on this map

Behavioral Change Communication Intervention in Menstrual Disorder Management Among Female University Students in Bangladesh

TypeinterventionalSponsorShahjalal University of Science and TechnologyRan2023 to 2024Enrolled498ConditionsDysmenorrhea, Premenstrual Syndrome-PMS, Menstrual IrregularityArmsBehavioral change communication (BCC) module
3 · Its place in the literature

Who cites it

6 citing papers in PubMed.

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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

9 authors.

Liton Chandra SenFaculty of Nutrition and Food Science, Department of Community Health and Hygiene, Patuakhali Science and Technology University, Dumki, Patuakhali, Bangladesh.
Ishrat JahanFaculty of Nutrition and Food Science, Department of Community Health and Hygiene, Patuakhali Science and Technology University, Dumki, Patuakhali, Bangladesh.
Nadia SalekinFaculty of Nutrition and Food Science, Department of Community Health and Hygiene, Patuakhali Science and Technology University, Dumki, Patuakhali, Bangladesh.
Jahid Hasan ShouroveDepartment of Food Engineering and Tea Technology, Shahjalal University of Science and Technology, Sylhet, Bangladesh.
Mosiur RahmanDepartment of Population Science and Human Resource Development, University of Rajshahi, Rajshahi, Bangladesh.
Md Jamal UddinDepartment of Statistics, Shahjalal University of Science and Technology, Sylhet, Bangladesh.
Cuilin ZhangYong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore.
Davidson H HamerDepartment of Global Health, Boston University School of Public Health, Boston, MA, United States of America.ORCID 0000-0002-4700-1495
G M Rabiul IslamDepartment of Food Engineering and Tea Technology, Shahjalal University of Science and Technology, Sylhet, Bangladesh.ORCID 0000-0001-7748-4160

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMenstrual disorders, influenced by dietary habits like high fat intake and low fruit and vegetable consumption, are a global public health issue. This study assessed the prevalence of dysmenorrhea, premenstrual syndrome (PMS), and irregular menstrual cycle (IMC) among female university students in Bangladesh, focusing on food cravings and low vitamin A intake as risk factors.

methodsIn this comprehensive study, data from randomly selected female university students were collected using a structured questionnaire. The associations were analyzed through chi-square tests and multivariable logistic regression, reported as adjusted odds ratios (AOR).

resultsThe most prevalent menstrual disorder was dysmenorrhea (68.3%) followed by PMS (33.8%), and IMC (24.3%). Food cravers for high-fat and sweet foods were likely to experience dysmenorrhea (AOR: 2.4, 95% CI: 1.5-3.9, P<0.001), suffer from PMS (AOR: 3.9, 95% CI: 2.3-6.6, P<0.001), and have IMC (AOR: 3.0, 95% CI: 1.6-5.3, P<0.001) vs. subjects who didn't. Subjects consuming vitamin A-rich plant foods had 40% (AOR: 0.6, 95% CI: 0.4-0.9, P < 0.01) and 60% (AOR: 0.4, 95% CI: 0.2-0.6, P<0.001) less likely suffering from dysmenorrhea and IMC vs. who didn't. Both underweight and overweight/obese subjects experienced more than 2-fold dysmenorrhea vs. normal-weight peers. The chance of IMC was nearly 3-fold among overweight/obese subjects. However, lower physical activity was associated with PMS and IMC whereas family history was associated with dysmenorrhea and PMS. Among the socio-demographic factors, maternal education, place of residence, and earlier menarche (≤12 years) were associated with dysmenorrhea while marital status was associated with IMC.

conclusionThis study indicates that increasing the intake of vitamin A-rich plant foods and reducing high-fat, sweet foods can lower the risk of dysmenorrhea and IMC. Additionally, it highlights the need for regular exercise to mitigate the increased risk of PMS and IMC.

Indexed as

DysmenorrheaStudentsVitamin AAdolescentAdultBangladeshCravingFeeding BehaviorFemaleHumansMenstruation DisturbancesPremenstrual SyndromePrevalenceRisk FactorsSurveys and QuestionnairesUniversitiesVitamin A

Identifiers

PMID39321166
PMCPMC11423980

What OpenQuestion holds

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LicenceCC0
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Registered trials

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.