Evidence map›Paper›PMID 42728991›Full record

ArticleF1000Research2026

Prediction of Crowd Behavior in Holy Sites: Psychological, Social, and Risk Perception Factors among Pilgrims .

Motaz Alotaibi, Yahya Khatatbeh

Abstract read
In one paragraph

Article in F1000Research, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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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

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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.

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

2 authors.

Motaz AlotaibiDepartment of Psychology, College of Social Science, Imam Mohammad Ibn Saud Islamic University (IMSIU), Riyadh, Saudi Arabia.ORCID https://orcid.org/0009-0008-8405-7595
Yahya KhatatbehDepartment of Psychology, College of Social Science, Imam Mohammad Ibn Saud Islamic University (IMSIU), Riyadh, Saudi Arabia.ORCID https://orcid.org/0000-0002-0579-3949

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Large religious gatherings such as Hajj involve complex psychological and social processes that influence pilgrims' experiences and crowd behavior. This study examined risk perception, psychosocial factors, and adaptive crowd behavior among pilgrims, explored the relationships among these variables, and evaluated their predictive contribution to crowd behavior. Methods: A descriptive, correlational, and predictive cross-sectional design was employed. A purposive sample of 407 pilgrims completed validated measures of risk perception, psychosocial factors, and crowd behavior. Descriptive statistics, univariate between-subjects analyses, Pearson's correlation coefficients, and multiple regression analyses were performed. Results: Pilgrims demonstrated moderate-to-high levels of risk perception and adaptive crowd behavior, together with balanced psychosocial characteristics. Nationality was significantly associated with risk perception, psychosocial factors, and crowd behavior (all p < 0.001), whereas economic level was associated only with psychosocial factors (p = 0.041). No significant differences were observed according to age or educational level. Positive correlations were found among the principal study variables. The regression model was statistically significant (R Conclusion: Risk perception was associated with adaptive crowd behavior at the bivariate level, whereas psychosocial factors emerged as the significant independent predictor in the regression model. Strengthening institutional trust, personal readiness, learning, and spiritually relevant communication may support safer and more cooperative crowd behavior during Hajj. Integrating psychosocial considerations into crowd-management and risk-communication strategies may enhance safety and well-being during major religious gatherings.

Indexed as

CrowdingMass GatheringsSocial BehaviorAdultCross-Sectional StudiesFemaleHumansMaleRisk FactorsCrowd behaviorcrowd managementHajjpsychological factorsrisk perceptionsocial factors

Identifiers

PMID42728991
PMCPMC13560563

What OpenQuestion holds

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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.