The Significance of the Biopsychopolitical Model of Mental Health and Illnesses: Exploring Trends, Predictors and Statistical Challenges The Significance of the BPP model
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Abstract
The current concerns regarding the ever-increasing global burden of non-communicable diseases where mental disorders and related somatic
diseases make a significant contribution triggered my interest in the review of social determinants of mental health. Sufficient evidence led to the link of
political systems to mental ill-health of citizens and taking into account the drawbacks of the biopsychosocial model based interventions led me to the
formulation of the biopsychopolitical model that may guide the curative and
preventive interventions for mental and related somatic diseases that I
collectively call Social Distress Coping Disorders (SDCDs). The present
paper aimed to find the predictor that may guide epidemiological studies.
While ironically the Human Development Index (HDI) and Social
Development Index (SDI) positively correlate with the global prevalence
of disorders like depression and anxiety; an attempt was made to find
a predictor that may negatively correlate with the prevalence of SDCDs
on a global scale with no success due to reasons elucidated. On a local scale,
the income inequality measures weakly negatively correlated with
hypertension at 95% CI (R= -0.307, β = -0.449, p= 0.030) while no correlation
was found for depression (R= -0.106, β = -0.014, p= 0.47) in 50 African
countries with available data, and possible reasons for this were mentioned. The link between political systems and social determinants of mental health is certain, while waiting for a suitable model and predictor due to biased data as shown, the validity of the biopsychopolitical model is assured.
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