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TableĀ 2 Multivariable logistic regression to identify predictors of minor psychiatric disorders

From: Mental health in the era of COVID-19: prevalence of psychiatric disorders in a cohort of patients with type 1 and type 2 diabetes during the social distancing

Ā 

Odds ratio

Confidence interval (95%)

P value

Age at diagnosis (per 1Ā year increase)

0.96

0.92ā€“0.99

0.04

Sex (female)

2.24

0.95ā€“5.32

0.06

BMI (eutrophic)

1.77

0.56ā€“5.56

0.33

Age (per 1Ā year increase)

1.01

0.97ā€“1.06

0.66

Previous diagnosis of common mental disorders

1.15

0.43ā€“3.11

0.77

HbA1c (per 1% increase)

1.03

0.79ā€“1.35

0.81

Race/ethnicity (white)

1.01

0.28ā€“3.64

0.98

Social distancing

2.04

0.35ā€“11.81

0.42

Type 2 diabetes

7.60

1.93ā€“29.71

0.004

  1. Multivariable logistic regression model to assess predictors of the presence of minor psychiatric disorders (Ļ‡2ā€‰=ā€‰17.94, p 0.05, R2 Negelkerke 0.19). BMI, Body mass index; HbA1c, hemoglobin A1c. Common mental disorders includes depressive episode, major depressive disorder and anxiety disorders. Social distancing includes patients who followed the orientation of total or partial social detachment (left home only for basic activities, such as market, pharmacy and health care)