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Author Spotlight: Unveiling the Connection Between Sleep Disorders and Cognitive Symptoms in Depression
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The Association between Replacement Drivers and Depressive Symptoms.

Jongmin Lee1, Heejoo Park2, Juyeon Oh3

  • 1Department of Occupational Health, Graduate School of Public Health, Yonsei University, Seoul 03722, Republic of Korea.

International Journal of Environmental Research and Public Health
|January 8, 2023
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Summary

Replacement drivers, a type of gig worker, show a significantly higher prevalence of depressive symptoms compared to paid workers. This association is particularly strong in older, less educated, and lower-income individuals, highlighting a need for mental health support.

Keywords:
depressive symptomsgig workermachine learningpaid workersreplacement driver

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Area of Science:

  • Public Health
  • Occupational Health
  • Mental Health Research

Background:

  • Gig economy workers, including replacement drivers, face unique occupational stressors.
  • Depressive symptoms represent a significant public health concern with substantial individual and societal impact.

Purpose of the Study:

  • To investigate the association between being a replacement driver and the prevalence of depressive symptoms.
  • To compare the prevalence of depressive symptoms in replacement drivers versus paid workers.
  • To identify demographic subgroups of replacement drivers most vulnerable to depressive symptoms.

Main Methods:

  • Cross-sectional study utilizing online/offline surveys for replacement drivers.
  • Incorporation of data from the 8th Korea National Health and Nutrition Examination Survey for a control group.
  • Definition of depressive symptoms using the Patient Health Questionnaire-9 (PHQ-9) score ≥5.
  • Multivariable logistic regression analysis to calculate adjusted odds ratios (aOR) and 95% confidence intervals (CI).
  • Machine learning models, including Linear Discriminant Analysis, were employed for predictive analysis.

Main Results:

  • The prevalence of depressive symptoms was substantially higher in replacement drivers (49.63%) compared to the control group (12.64%).
  • Replacement drivers exhibited a significantly higher association with depressive symptoms (aOR 7.89, 95% CI [5.53-11.26]) compared to paid workers.
  • The association was more pronounced in older, low-education, and low-income replacement drivers.
  • Linear Discriminant Analysis demonstrated the highest efficacy in predicting depressive symptoms, with the 'replacement driver' feature improving model performance (AUC values).

Conclusions:

  • A strong association exists between replacement driver status and depressive symptoms.
  • Targeted mental health interventions and preventative strategies are crucial for replacement drivers, especially within vulnerable demographic groups.
  • Further research is warranted to develop specific guidelines for mental disease prevention among this occupational group.