DOI: 10.57760/sciencedb.j00052.00194
title: Scale Assessment Dataset on Mental Health Risk Factors for Chinese Expatriate Construction Workers in High-Risk Environments in Iraq​​
title: 中东某地区高危环境下某建筑公司外派员工心理健康风险因素量表测评数据集

description: This dataset originates from a special mental health survey conducted by a construction company targeting employees assigned to work at an oilfield in a Middle Eastern region. The dataset mainly consists of two documents: raw scale score data and a mental health assessment questionnaire. The following sections describe the data generation process, content structure, spatiotemporal information, and data characteristics:1. Data Generation Process and Processing Methods• Survey Design: A cross-sectional research design was adopted. An online questionnaire was distributed to 400 on-site employees in the Middle Eastern region (April–May 2024). A total of 326 valid responses were collected (valid response rate: 81.5%).• Assessment Tools: Eight standardized scales were used to comprehensively evaluate mental health status, including:◦ General Health Questionnaire (GHQ-12)◦ Patient Health Questionnaire (PHQ-9, depression screening)◦ Generalized Anxiety Disorder Scale (GAD-7)◦ Maslach Burnout Inventory – General Survey (MBI-GS-15)◦ Core Occupational Stress Scale (COSS-17)◦ Social Support Survey (8 items)◦ Iraq-Specific Social Environmental Stress Questionnaire (10 items)◦ Pittsburgh Sleep Quality Index (PSQI-9)2. Spatiotemporal Information• Time Range: Data were collected from April to May 2024, reflecting employees’ psychological state over the past 2–3 weeks.• Spatial Range: Respondents were all located at on-site workplaces in a Middle Eastern region, classified as a high-risk and unstable area.• Resolution: Individual-level data; no specific spatiotemporal resolution required.3. Data Content and Structure(1) Raw Scale Score Data (326 records)• Row Labels: Each record represents one employee’s complete assessment result (326 rows in total).• Column Labels:◦ Basic Information (14 columns): ID, age, gender, education, marital status, number of children, etc.◦ Work Characteristics (8 columns): Job type (management/frontline), years of service, shift cycle, day–night rotation, consecutive days on duty, weekly overtime hours, etc.◦ Lifestyle (4 columns): Number of cohabitants, smoking, drinking, exercise habits.◦ Scale Scores (80 columns): Raw scores for 8 scales, classification results (e.g., “depression detected”), and sub-dimension scores (e.g., emotional exhaustion under burnout).• Units of Measurement:◦ Continuous variables: Age (years), years of service (years), days on duty (days), overtime hours (hours/week).◦ Categorical variables: Gender (male/female), education (junior high school to bachelor’s degree), marital status, etc., encoded as categorical values (e.g., “1 = married”).◦ Scale scores: Scored according to standard rules for each scale (e.g., PHQ-9 total score 0–27).(2) Assessment Questionnaire• Includes an 87-item structured questionnaire covering all items and options of the above 8 scales.4. Data Missingness and Error Notes• Missing Data:◦ Some fields in EXCEL contain blanks (marked as “(blank)”), such as open-ended questions left unanswered (e.g., reasons for sleep disturbances).◦ Missing Data Handling: Valid case analysis was applied; no imputation methods were used.• Sources of Error:◦ Subjective bias in self-report scales (e.g., social desirability effect).◦ Sampling bias: Male participants accounted for 99.7%; female sample was very limited (n=1).◦ Cultural differences: The validity of some scales (e.g., social support) may be limited in cross-cultural contexts.5. File Format and Usage Recommendations• File Format:◦ DOC.◦ Standard .xlsx format (compatible with Excel, WPS, etc.).• Applicable Software:◦ Statistical Analysis: SPSS, R, Python (pandas library).SummaryThis dataset systematically assessed the mental health status and influencing factors of construction employees assigned to high-risk areas in Iraq using standardized scales. It includes both raw data and survey instruments, making it suitable for research in occupational health psychology and cross-cultural adaptation. Caution is advised regarding the gender imbalance in the sample and the potential influence of cultural context on scale validity.
description: This dataset originates from a special mental health survey conducted by a construction company targeting employees assigned to work at an oilfield in a Middle Eastern region. The dataset mainly consists of two documents: raw scale score data and a mental health assessment questionnaire. The following sections describe the data generation process, content structure, spatiotemporal information, and data characteristics:1. Data Generation Process and Processing Methods• Survey Design: A cross-sectional research design was adopted. An online questionnaire was distributed to 400 on-site employees in the Middle Eastern region (April–May 2024). A total of 326 valid responses were collected (valid response rate: 81.5%).• Assessment Tools: Eight standardized scales were used to comprehensively evaluate mental health status, including:◦ General Health Questionnaire (GHQ-12)◦ Patient Health Questionnaire (PHQ-9, depression screening)◦ Generalized Anxiety Disorder Scale (GAD-7)◦ Maslach Burnout Inventory – General Survey (MBI-GS-15)◦ Core Occupational Stress Scale (COSS-17)◦ Social Support Survey (8 items)◦ Iraq-Specific Social Environmental Stress Questionnaire (10 items)◦ Pittsburgh Sleep Quality Index (PSQI-9)2. Spatiotemporal Information• Time Range: Data were collected from April to May 2024, reflecting employees’ psychological state over the past 2–3 weeks.• Spatial Range: Respondents were all located at on-site workplaces in a Middle Eastern region, classified as a high-risk and unstable area.• Resolution: Individual-level data; no specific spatiotemporal resolution required.3. Data Content and Structure(1) Raw Scale Score Data (326 records)• Row Labels: Each record represents one employee’s complete assessment result (326 rows in total).• Column Labels:◦ Basic Information (14 columns): ID, age, gender, education, marital status, number of children, etc.◦ Work Characteristics (8 columns): Job type (management/frontline), years of service, shift cycle, day–night rotation, consecutive days on duty, weekly overtime hours, etc.◦ Lifestyle (4 columns): Number of cohabitants, smoking, drinking, exercise habits.◦ Scale Scores (80 columns): Raw scores for 8 scales, classification results (e.g., “depression detected”), and sub-dimension scores (e.g., emotional exhaustion under burnout).• Units of Measurement:◦ Continuous variables: Age (years), years of service (years), days on duty (days), overtime hours (hours/week).◦ Categorical variables: Gender (male/female), education (junior high school to bachelor’s degree), marital status, etc., encoded as categorical values (e.g., “1 = married”).◦ Scale scores: Scored according to standard rules for each scale (e.g., PHQ-9 total score 0–27).(2) Assessment Questionnaire• Includes an 87-item structured questionnaire covering all items and options of the above 8 scales.4. Data Missingness and Error Notes• Missing Data:◦ Some fields in EXCEL contain blanks (marked as “(blank)”), such as open-ended questions left unanswered (e.g., reasons for sleep disturbances).◦ Missing Data Handling: Valid case analysis was applied; no imputation methods were used.• Sources of Error:◦ Subjective bias in self-report scales (e.g., social desirability effect).◦ Sampling bias: Male participants accounted for 99.7%; female sample was very limited (n=1).◦ Cultural differences: The validity of some scales (e.g., social support) may be limited in cross-cultural contexts.5. File Format and Usage Recommendations• File Format:◦ DOC.◦ Standard .xlsx format (compatible with Excel, WPS, etc.).• Applicable Software:◦ Statistical Analysis: SPSS, R, Python (pandas library).SummaryThis dataset systematically assessed the mental health status and influencing factors of construction employees assigned to high-risk areas in Iraq using standardized scales. It includes both raw data and survey instruments, making it suitable for research in occupational health psychology and cross-cultural adaptation. Caution is advised regarding the gender imbalance in the sample and the potential influence of cultural context on scale validity.