Evidence map›Paper›PMID 38357115›Full record

ArticleAfrican health sciences2023

Predictors of fertility awareness among selected married women of childbearing age in Nigeria: a cross-sectional survey.

Adaobi Uchenna Mosanya, Deborah Oyine Aluh, Chibueze Anosike, Maureen Ogochukwu Akunne, Chigozie Gloria Anene-Okeke, Abdulmuminu Isah

Abstract read
In one paragraph

Article in African health sciences, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

6 authors.

Adaobi Uchenna MosanyaDepartment of Clinical Pharmacy and Pharmacy Management, Faculty of Pharmaceutical Sciences, University of Nigeria, Nsukka, Nigeria. PMB 410001, Enugu State, Nigeria.
Deborah Oyine AluhDepartment of Clinical Pharmacy and Pharmacy Management, Faculty of Pharmaceutical Sciences, University of Nigeria, Nsukka, Nigeria. PMB 410001, Enugu State, Nigeria.
Chibueze AnosikeDepartment of Clinical Pharmacy and Pharmacy Management, Faculty of Pharmaceutical Sciences, University of Nigeria, Nsukka, Nigeria. PMB 410001, Enugu State, Nigeria.
Maureen Ogochukwu AkunneDepartment of Clinical Pharmacy and Pharmacy Management, Faculty of Pharmaceutical Sciences, University of Nigeria, Nsukka, Nigeria. PMB 410001, Enugu State, Nigeria.
Chigozie Gloria Anene-OkekeDepartment of Clinical Pharmacy and Pharmacy Management, Faculty of Pharmaceutical Sciences, University of Nigeria, Nsukka, Nigeria. PMB 410001, Enugu State, Nigeria.
Abdulmuminu IsahDepartment of Clinical Pharmacy and Pharmacy Management, Faculty of Pharmaceutical Sciences, University of Nigeria, Nsukka, Nigeria. PMB 410001, Enugu State, Nigeria.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Increased fertility awareness can help infertile couples to achieve pregnancy. Objectives: This study aimed to determine both the predictors and levels of fertility awareness among married Nigerian women of childbearing age. Methods: A nationwide cross-sectional survey. Data were collected via online and face to face questionnaires. Descriptive and inferential analysis were done with SPSS 25. Results: Most respondents married between ages 24-29 years old (40%) and just over half had good fertility awareness (53%). The associated factors were age at menarche (X Conclusion: Menstrual cycle charting and level of education were predictors of fertility awareness.

Indexed as

FertilityMenstrual CycleAdultCross-Sectional StudiesEducational StatusFemaleHumansNigeriaPregnancyYoung Adulteducational statusfertilityinternetmenstrual cycleNigeria

Identifiers

PMID38357115
PMCPMC10862579

What OpenQuestion holds

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LicenceCC BY
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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.