Evidence map›Paper›PMID 40604625›Full record

ArticleBMC pregnancy and childbirth2025

Internet-based pregnancy information seeking in Lebanon: a cross-sectional study.

Mazen El Jamal, Ali Al Abed, Mustapha El Haj Hassan, Jana Traboulsi, Kassem Hamze, Samir Mansour, Abbas Hoballah, Rana El Haidari

Abstract readMulticenter Study
In one paragraph

Article in BMC pregnancy and childbirth, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Review
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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

8 authors.

Mazen El Jamal *Faculty of Medical Sciences, Lebanese University, Beirut, Lebanon.
Ali Al Abed *Faculty of Medical Sciences, Lebanese University, Beirut, Lebanon.
Mustapha El Haj HassanFaculty of Medical Sciences, Lebanese University, Beirut, Lebanon.
Jana TraboulsiFaculty of Medical Sciences, Lebanese University, Beirut, Lebanon.
Kassem HamzeDoctoral School of Science and Technology, Lebanese University, Beirut, Lebanon.
Samir MansourDepartment of Research, Islamic Health Society, Baabda, Lebanon.
Abbas HoballahDepartment of Research, Islamic Health Society, Baabda, Lebanon.
Rana El HaidariFaculty of Public Health, Lebanese University, Beirut, Lebanon. Ranahaidari14@hotmail.com.ORCID http://orcid.org/0000-0003-1752-5180

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionThe internet and social media have become integral parts of people's lives, with many individuals using them to fulfill their information needs. Notably, around 90% of pregnant women worldwide use the internet to seek pregnancy-related information and often make decisions based on what they read. This study aimed to: 1) determine the prevalence of internet and social media use for pregnancy-related information seeking among Lebanese women; 2) assess their knowledge of basic pregnancy information; and 3) explore their attitudes towards information obtained from media sources.

methodsA multi-centric cross-sectional study was conducted from December 1, 2023, to March 15, 2024, across 25 primary health care centers throughout Lebanon. Pregnant women aged between 18 and 45 years completed a questionnaire primarily through face-to-face meetings and additionally online using Google Forms. The questionnaire was distributed in two ways: first, by approaching pregnant women at healthcare centers; and second, by contacting pregnant women via phone. The questionnaire, written in Arabic, included general questions about sociodemographic variables and social media use, as well as specific questions regarding knowledge and information-seeking behavior related to pregnancy.

resultsA total of 377 pregnant women participated in the study, 74.3% (280) of whom have previous children. Additionally, 73.5% (277) of the participants used the internet to obtain medical information related to pregnancy, with Google being the most utilized platform. The most commonly searched topics were food and nutritional supplements recommended during pregnancy, drugs and practices to be avoided, and common pregnancy symptoms. Non-mothers were more likely than mothers to follow a medical influencer (p = 0.002) and use the internet for pregnancy-related information (p = 0.01). In a univariate logistic regression analysis, not having had a previous abortion (p = 0.04, OR = 0.61), not experiencing financial difficulties in visiting a doctor (p = 0.02, OR = 0.61), and using the internet for pregnancy-related information (p < 0.0001, OR = 2.55) were predictors of good knowledge about pregnancy information.

conclusionThe internet provides easy access to information for pregnant women. Non-mothers are more likely than mothers to use the internet for medical information. Using the internet helps pregnant women gain knowledge about pregnancy-related information.

Indexed as

Health Knowledge, Attitudes, PracticeInformation Seeking BehaviorInternetPregnant PeopleSocial MediaAdolescentAdultConsumer Health InformationCross-Sectional StudiesFemaleHumansLebanonMiddle AgedPregnancySurveys and QuestionnairesYoung AdultInformationInternetLebanonOnlinePregnancy

Identifiers

PMID40604625
PMCPMC12225156

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.