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  1. Mansor M, Chong MC, Chui PL, Hamdan M, Basha MAMK
    Saudi Med J, 2023 Sep;44(9):933-939.
    PMID: 37717967 DOI: 10.15537/smj.2023.44.9.20230228
    OBJECTIVES: To validate and determine the psychometric properties of the Malay version of the endometriosis health profile-30 (EHP-30) by confirmatory factor analysis.

    METHODS: A cross-sectional study was carried out in the main city of Malaysia at a tertiary teaching hospital between January to April 2021. A total of 218 women diagnosed with endometriosis symptoms were recruited using the universal sampling method to answer the questionnaire.

    RESULTS: The revised Malay version of the EHP-30 with 28 items demonstrated that the factor loading of the 28 items had an acceptable value range between 0.60-0.90. The model fit was acceptable after the inclusion of 28 items correlated errors of the root mean square of error approximation: 0.072, 90% confidence interval: [0.065-0.080], comparative fit index (0.939), Tucker-Lewis index (0.932), and Chi-square/degrees of Freedom (2.135). The Cronbach's alpha ranged from 0.89-0.97. Concurrent validity for the composite reliability was between 0.88-0.96, while the average variance extracted was between 0.65-0.74.

    CONCLUSION: This revised Malay version of the EHP-30 is a reliable and valid tool that can be used for the next study.

  2. Latip ARA, Abdullah SS, Sa'at NH, Hanizam NNS, Mustapa K, Rushdi NA, et al.
    Data Brief, 2024 Jun;54:110454.
    PMID: 38708309 DOI: 10.1016/j.dib.2024.110454
    The dataset represents the socioeconomic demographic of drug-free families living in a high-risk drug environment in East Coast states of Peninsular Malaysia. The purposive sampling technique was used to choose among drug free families living in high drug environment, have children aged between 13 and 17 and none of the family members involved in any substance abuse cases via face-to-face interview questionnaires between 3rd April 2021 and 8th April 2021, gathering a total of 200 responses. The survey assessing socioeconomic demographic information (14 items) and involvement in drug prevention programs (8 items). The survey data was analyzed using descriptive analysis through frequencies and percentages. The data will assist the government, policymakers, and researchers to improve the content and delivery of family-based drug prevention programs and improve family awareness on risk and protective factors towards preventing drug abuse among youths.
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