Diet, physical activity, sedentary time and demographic variables differentiate among drinkers and former drinkers who suffer or not depression: a CRT analysis

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Abstract
Healthy lifestyles may have the potential to be protective factors for mental health problems. The aim was to classify drinkers and former drinkers in depression sufferers or non-sufferers according to demographic data and lifestyle habits, using a classification and regression tree (CRT). This cross-sectional study is based on the NHANES 2011-20. 3175 participants (2342 males and 833 females) drinkers and former drinkers formed the final sample. CRT analysis was used to classify them in depression sufferers and non-sufferers. Odds ratio (OR) and relative risks (RR) of suffering depression for each branch of the tree were calculated. The model was found to have an 82.0% accuracy. Independent variables were classified by their importance in the model, in this order: diet (0.007; 100.0%), gender (0.004; 60.4%), PA group (0.003; 45.4%), sedentary time (0.002; 32.6%), education level (0.001; 29.1%) and age (<0.001; 7.1%). Elevated OR and RR of suffering depression were found for participants with: fair and poor diet compared to good, very good or excellent diet (OR = 2.02, CI95%: 1.69-2.43, RR = 1.77, CI95%: 1.52-2.10), for inactive, walkers and low PA, compared to moderate PA and high PA (OR = 1.99,CI95% = 1.53-2.60, RR = 1.68, CI95%:1.37-2.07), for females compared to males (OR = 2.00, CI95%:1.54-2.66, RR = 1.81, CI95%:1.45-2.26), for people with a '9-11th grade' or below education level compared to those with a higher level of education (OR = 1.50, CI95%:1.05-2.15, RR = 1.32, CI95%:1.04-1.67) in branch beneath node 3; and for people with a high school/GED or below education level, compared to those with higher education (OR = 1.99, CI95%:1.27-3.13, RR = 1.71, CI95%:1.21-2.43), in branch beneath node 6. Diet, PA group, sedentary time, gender, education level and age allow us to classify drinkers and former drinkers in sufferers or non-sufferers of depression. The CRT model combined with OR and RR allow us to identify which participants have greater odds of suffering depression based on lifestyle and demographic data.
Funding Information
  • Spanish Ministry of Universities
  • Spanish Ministry of Universities

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