Mental well-being among Syrian refugee workers in Lebanon: a multidimensional approach.

Female Syrian refugee agricultural workers reported a notably higher prevalence of poor mental well-being compared to male workers.

• Female workers reported poor mental well-being at a rate of 40.4% compared to 23.89% among male workers.
• The sample consisted of 89 Syrian refugee agricultural workers (42 men and 47 women).
• Mental well-being was assessed using the World Health Organization five well-being index (WHO-5), with scores below 13 indicating poor well-being.
• Workers were recruited from 32 greenhouse farms in Lebanon's Beqaa Valley.

Experiencing a work-related injury was associated with nine times higher odds of poor mental well-being.

• Adjusted odds ratio (aOR) = 9.30; 95% confidence interval (CI) = 1.64–52.79.
• This association was identified through logistic regression analysis controlling for other wellness indicators.
• The Six Dimensions of Wellness framework was applied to explore factors influencing mental well-being.
• The finding highlights occupational physical hazards as a significant determinant of mental health among this population.

Social support was protective against poor mental well-being among Syrian refugee agricultural workers.

• Adjusted odds ratio (aOR) = 0.52; 95% CI = 0.28–0.97, indicating a statistically significant protective effect.
• Social support was one of the dimensions examined under the Six Dimensions of Wellness framework.
• This finding suggests that stronger social networks reduce the likelihood of poor mental well-being in this displaced population.

Difficulty accessing health information was significantly associated with poor mental well-being.

• Adjusted odds ratio (aOR) = 6.09; 95% CI = 1.61–23.06.
• This association remained statistically significant after adjustment in logistic regression analysis.
• Health information access was examined as part of the multidimensional wellness framework applied in the study.

Unmanageable work demands were significantly associated with poor mental well-being.

• Adjusted odds ratio (aOR) = 10.09; 95% CI = 2.47–41.31, representing the strongest association found in the study.
• This was assessed within the occupational/physical dimension of the Six Dimensions of Wellness framework.
• The study population consisted of agricultural greenhouse workers, a sector known for physically demanding labor conditions.

Age and education showed a protective direction against poor mental well-being but the results were not statistically significant.

• The paper notes these variables were 'protective against poor well-being' but 'results for age and education were not statistically significant.'
• These variables were included in the logistic regression analysis alongside other wellness dimensions.
• The cross-sectional study included 89 participants, which may have limited statistical power to detect effects of these variables.

The study applied the Six Dimensions of Wellness framework to a cross-sectional sample of Syrian refugee workers in Lebanon's Beqaa Valley.

• 89 Syrian refugee agricultural workers (42 men and 47 women) were recruited from 32 greenhouse farms.
• Participants completed structured questionnaires covering the Six Dimensions of Wellness.
• Mental well-being was assessed using the WHO-5 well-being index, with scores below 13 indicating poor well-being.
• Lebanon's context included economic collapse, political instability, and inadequate infrastructure affecting approximately 1.5 million Syrian refugees.
• Descriptive statistics and logistic regression were used to examine associations between wellness indicators and mental well-being.