BMC psychiatry · 2023
Alcohol use disorder among healthcare professional students: a structural equation model describing its effect on depression, anxiety, and risky sexual behavior.
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Kintu Timothy Mwanje, Kaggwa Mark Mohan, Namagembe Robinah, Muganzi David Jolly, Kihumuro Bernard Raymond, Luyinda Garvin Ssali, Nabwana Brenda Wafana, Moses Muwanguzi, Nnyombi Marvin, Kirega Alex, Kabakyenga Jerome Kahuma, Maling Samuel
Аннотация
BACKGROUND: Mental health problems such as depression, anxiety and alcohol use disorders are among the leading causes of disability worldwide. Among university students, alcohol use and poor mental health are associated with risky sexual behavior. Given the syndemic occurrence of these disorders most especially in young adults, we describe the relationship between them so as to guide and intensify current interventions on reducing their burden in this population.
METHODS: This was a cross-sectional study based on an online survey among healthcare professional university students that captured sociodemographic characteristics, risky sexual behavior, alcohol use disorder, generalized anxiety disorder, and depression. Structural equation modelling was used to describe the relationship between these variables using RStudio.
RESULTS: We enrolled a total of 351 participants of which 11% (37/351) had Alcohol Use Disorder, 33% (117/351) had depressive symptoms and 32% (111/351) had symptoms of anxiety. A model describing the relationship between these variables was found to fit well both descriptively and statistically [χ2 = 44.437, df = 21, p-value = 0.01, CFI = 0.989, TFI = 0.980, RMSEA = 0.056]. All observed variables were found to fit significantly and positively onto their respective latent factors (AUD, anxiety, depression and risky sexual behavior). AUD was found to be significantly associated with risky sexual behavior (β = 0.381, P < 0.001), depression (β = 0.152, P = 0.004), and anxiety (β = 0.137, P = 0.001).
CONCLUSION: AUD, depression and anxiety are a significant burden in this health professional student population and there's need to consider screening for anxiety and depression in students reporting with AUD so as to ensure appropriate interventions. A lot of attention and efforts should be focused on the effect of AUD on risky sexual behavior and continued health education is still required even among health professional students.
METHODS: This was a cross-sectional study based on an online survey among healthcare professional university students that captured sociodemographic characteristics, risky sexual behavior, alcohol use disorder, generalized anxiety disorder, and depression. Structural equation modelling was used to describe the relationship between these variables using RStudio.
RESULTS: We enrolled a total of 351 participants of which 11% (37/351) had Alcohol Use Disorder, 33% (117/351) had depressive symptoms and 32% (111/351) had symptoms of anxiety. A model describing the relationship between these variables was found to fit well both descriptively and statistically [χ2 = 44.437, df = 21, p-value = 0.01, CFI = 0.989, TFI = 0.980, RMSEA = 0.056]. All observed variables were found to fit significantly and positively onto their respective latent factors (AUD, anxiety, depression and risky sexual behavior). AUD was found to be significantly associated with risky sexual behavior (β = 0.381, P < 0.001), depression (β = 0.152, P = 0.004), and anxiety (β = 0.137, P = 0.001).
CONCLUSION: AUD, depression and anxiety are a significant burden in this health professional student population and there's need to consider screening for anxiety and depression in students reporting with AUD so as to ensure appropriate interventions. A lot of attention and efforts should be focused on the effect of AUD on risky sexual behavior and continued health education is still required even among health professional students.