Evidence map›Paper›PMID 37927722›Full record

ArticleCureus2023

Stress-Related Hair Loss Among the General Population in Al Majma'ah, Saudi Arabia: A Cross-Sectional Study.

Abdulaziz S Alanazi, Waleed A Alsalhi, Waleed K Alghuyaythat, Abdulrahman N Almutairi, Mohanned A Almazrou, Jehad A Alabdulminaim, Elsadig Y Mohamed

Open access · diamondAbstract read
In one paragraph

Article in Cureus, 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
0.6field-weighted citation impact, top 30% 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

1 citing paper in PubMed, 2 citations in OpenAlex.

  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

7 authors at 2 institutions in 1 country.

Abdulaziz S AlanaziDepartment of Dermatology, King Khalid General Hospital, Hafar Al-Batin, SAU.
Waleed A AlsalhiDepartment of Dermatology, College of Medicine, Majmaah University, Al Majma'ah, SAU.
Waleed K AlghuyaythatCollege of Medicine, Majmaah University, Al Majma'ah, SAU.
Abdulrahman N AlmutairiCollege of Medicine, Majmaah University, Al Majma'ah, SAU.
Mohanned A AlmazrouCollege of Medicine, Majmaah University, Al Majma'ah, SAU.
Jehad A AlabdulminaimCollege of Medicine, Majmaah University, Al Majma'ah, SAU.
Elsadig Y MohamedDepartment of Community Medicine, College of Medicine, Majmaah University, Al Majma'ah, SAU.
Northern Area Armed Forces Hospital · SAMajmaah University · SA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background Hair loss is a prevalent concern affecting individuals worldwide, often attributed to various factors including genetics, hormonal changes, and stress. This study aims to investigate the prevalence of stress-related hair loss among the general population in Al Majma'ah, Saudi Arabia, and hair loss association with sociodemographic characteristics and risk factors. Methods A cross-sectional study was conducted involving 1080 participants. Data were collected through a structured questionnaire that encompassed sociodemographic factors, stress levels, psychosocial factors, and habits related to hair care and lifestyle. The data were analyzed using descriptive statistics, chi-square tests, and logistic regression analysis. Results The study revealed that 770 (71.3%) of participants reported experiencing hair loss, with females showing a higher prevalence compared to males 622 vs. 148 (78.2% vs. 51.9%). A significant relationship between age and hair loss was observed (Chi-x

Indexed as

hair lossmajmaahprevalencepsychosocial factorssaudi arabiasociodemographic factorsstress

Identifiers

PMID37927722
PMCPMC10625171
OpenAlexW4387375400

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.