The Experts below are selected from a list of 64731 Experts worldwide ranked by ideXlab platform

Henrik Gustafsson - One of the best experts on this subject based on the ideXlab platform.

Anas A. Makki - One of the best experts on this subject based on the ideXlab platform.

  • The Effects of Multi-Sociodemographic Characteristics of Construction Sites Personnel on Perceptions of Safety Climate-Influencing Factors: The Construction Industry in Saudi Arabia
    International journal of environmental research and public health, 2021
    Co-Authors: Ibrahim Mosly, Anas A. Makki
    Abstract:

    The construction industry in Saudi Arabia relies prominently on migrant workers of multi-Sociodemographic Characteristics with different perceptions of a safety climate. The exploration of the perceptions regarding the safety climate among various groups of migrant workers may help identify effective means of improving safety levels at construction sites in Saudi Arabia. This study aimed to examine the effects of multi-Sociodemographic Characteristics of construction site personnel on their perceptions of the factors that influence the safety climate at construction sites in Saudi Arabia. Data were collected from 401 construction site workers, employed at ongoing construction project sites in Saudi Arabia, using a designed questionnaire. A generalized, linear model approach was applied, using the single ordinal logistic regression method, to analyze the collected data. The results revealed the significant sets of Sociodemographic Characteristics and their associated subgroups that had significant effects on the perception of importance assigned to each safety climate-influencing factor. These findings provide a better understanding of the views of construction site personnel on the safety climate and can assist construction industry decision-makers, safety policy designers, government agencies, and stakeholders when designing better-targeted enhancement plans and strategies to improve the safety climate of construction sites, based on the Sociodemographic makeup of the personnel at each construction site.

Finn Nilson - One of the best experts on this subject based on the ideXlab platform.

Marie E Thoma - One of the best experts on this subject based on the ideXlab platform.

Zhou Zhu - One of the best experts on this subject based on the ideXlab platform.

  • Sociodemographic Characteristics associated with adolescent depression in urban and rural areas of Hubei province: a cross-sectional analysis
    BMC psychiatry, 2019
    Co-Authors: Junhua Mei, Jing You, Jinfeng Miao, Xiaoyan Song, Wenzhe Sun, Yan Lan, Xiuli Qiu, Zhou Zhu
    Abstract:

    China has experienced rapid socioeconomic, and health transitions over the last four decades, and urban–rural disparities are becoming increasingly apparent. Research on depression among rural and urban students can provide evidence on the relationship between Sociodemographic Characteristics and adolescent depression. We examined the association between Sociodemographic Characteristics and adolescent depression among 3605 students from Wuhan city and Jianli county that was recruited from the local junior middle school via a cross-sectional study. Univariate and multivariate logistic regression models were used to explore the Sociodemographic Characteristics of adolescent depression in urban and rural areas, respectively. Nomograms were constructed to calculate individual depression risk of junior middle school students. 32.47% of rural students and 35.11% of urban students display depressive symptoms. The protective factors of depression in urban students are exercise habit, younger, key class, better academic achievement and males, while Left-behind children (LBC), poor academic achievement and females had higher depression risk in rural area. Two nomograms were constructed to screen the adolescent depression in urban and rural junior middle school students, respectively. The clinical tools were well calibrated. The field-based research examined Sociodemographic Characteristics potentially associated with adolescent depression and offered an effective and convenient tool of individualized depression risk evaluation for junior middle school students. Future longitudinal epidemiologic research on adolescent depression may help to further validate the discovery of present study, which will support developing policies and practices to minimize the factors of adolescent depression.