Evidence map›Paper›PMID 39123135›Full record

ArticleBMC psychiatry2024

Psychometric properties of the Arabic version of the Nightmares Distress Questionnaire (NDQ-AV) in a community sample of adolescents.

Roni Chaaya, Chen Jiang, Runtang Meng, Yihong Zhu, Sahar Obeid, Dina Dagher, Rabih Hallit, Diana Malaeb, Mariam Dabbous, Fouad Sakr and 2 more

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Article in BMC psychiatry, 2024. 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

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4 · The record

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5 · Who and what money

Authors and funding

12 authors.

Roni Chaaya *Social and Education Sciences Department, School of Arts and Sciences, Lebanese American University, Jbeil, Lebanon.
Chen Jiang *School of Public Health, Hangzhou Normal University, Hangzhou, 311121, China.
Runtang MengSchool of Public Health, Hangzhou Normal University, Hangzhou, 311121, China. mengruntang@hznu.edu.cn.
Yihong ZhuSchool of Clinical Medicine, Hangzhou Normal University, Hangzhou, China.
Sahar ObeidSocial and Education Sciences Department, School of Arts and Sciences, Lebanese American University, Jbeil, Lebanon. saharobeid23@hotmail.com.
Dina DagherSchool of Medicine and Medical Sciences, Holy Spirit University of Kaslik, P.O. Box 446, Jounieh, Lebanon.
Rabih HallitSchool of Medicine and Medical Sciences, Holy Spirit University of Kaslik, P.O. Box 446, Jounieh, Lebanon.
Diana MalaebCollege of Pharmacy, Gulf Medical University, Ajman, United Arab Emirates.
Mariam DabbousSchool of Pharmacy, Lebanese International University, Beirut, Lebanon.
Fouad SakrSchool of Pharmacy, Lebanese International University, Beirut, Lebanon.
Feten Fekih-Romdhane *The Tunisian Center of Early Intervention in Psychosis, Department of Psychiatry "Ibn Omrane", Razi Hospital, 2010, Manouba, Tunisia.
Souheil Hallit *School of Medicine and Medical Sciences, Holy Spirit University of Kaslik, P.O. Box 446, Jounieh, Lebanon. souheilhallit@hotmail.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe Nightmare Distress Questionnaire (NDQ), known and commonly used for its adequate psychometric properties, is the most widely used instrument for the measurement of nightmare distress. This study aimed to assess the psychometric properties of a newly translated Arabic version of the Nightmare Distress Questionnaire (NDQ-AV).

methodsA total of 546 Lebanese adolescents was recruited for this study and completed the NDQ-AV, the Insomnia Severity Index (ISI), and the eight-item Depression, Anxiety and Stress Scale (DASS-8).

resultsThe results of the exploratory factor analysis (EFA) and the confirmatory factor analysis (CFA) supported both a one-factor model and a two-factor model of the NDQ-AV, with the latter consisting of seven items within both factors. The first factor was referred to as the "general nightmare distress and coping" while the second was named "nightmare impact and perception". The reliability of the scale was excellent (α = 0.930 and ω = 0.915). Moreover, measurement invariance was shown across gender, demonstrating that this measure performs consistently for both men and women. Additionally, the NDQ-AV scores exhibited excellent reliability alongside factorial and concurrent validity.

conclusionIn conclusion, these results support the psychometric validity of the Arabic version of the NDQ. The availability of the NDQ-AV is expected to facilitate the understanding of nightmare distress within the Lebanese context.

Indexed as

DreamsPsychometricsAdolescentAnxietyDepressionFactor Analysis, StatisticalFemaleHumansLebanonMalePsychiatric Status Rating ScalesPsychological DistressReproducibility of ResultsStress, PsychologicalSurveys and QuestionnairesArabicNightmares Distress QuestionnairePsychometric Properties

Identifiers

PMID39123135
PMCPMC11311914

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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.