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Factor Structures in the Depressive Symptoms Domains in the 9Q for Northern Thai Adults and Their Association with Chronic Diseases.

Suttipong KawilapatPatrinee TraisathitNarong ManeetonSukon PrasitwattanasereeThoranin KongsukSuwanna ArunpongpaisalJintana LeejongpermpoonSupattra SukhawahaBenchalak Maneeton
Published in: Behavioral sciences (Basel, Switzerland) (2024)
Most of the common models to examine depression are one-factor models; however, previous studies provided several-factor structure models on each depressive symptom using the Patient Health Questionnaire-9 (PHQ-9). The Nine-Questions Depression-Rating Scale (9Q) is an alternative assessment tool that was developed for assessing the severity of depressive symptoms in Thai adults. This study aimed to examine the factor structure of this tool based on the factor structure models for the PHQ-9 provided in previous studies using confirmatory factor analysis (CFA). We also examined the association of chronic diseases and depressive symptoms using the Multiple Indicators Multiple Causes model among 1346 participants aged 19 years old or more without psychiatric disorders. The results show that the two-factor CFA model with six items in the cognitive-affective domain and three items in the somatic domain provided the best fit for depressive symptoms in the study population (RMSEA = 0.077, CFI = 0.953, TLI = 0.936). Dyslipidemia was positively associated with both cognitive-affective symptoms ( β = 0.120) and somatic depressive symptoms ( β = 0.080). Allergies were associated with a higher level of cognitive-affective depressive symptoms ( β = 0.087), while migraine ( β = 0.114) and peptic ulcer disease ( β = 0.062) were associated with a higher level of somatic symptoms. Increased age was associated with a lower level of somatic symptoms ( β = -0.088). Our findings suggested that considering depressive symptoms as two dimensions yields a better fit for depressive symptoms. The co-occurrence of chronic diseases associated with depressive symptoms should be monitored.
Keyphrases
  • depressive symptoms
  • sleep quality
  • social support
  • bipolar disorder
  • public health
  • healthcare
  • copy number
  • mental health
  • gene expression
  • case report
  • high resolution
  • physical activity
  • climate change
  • data analysis