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Table 3 Fuzzy RDD estimates of the impact of a T2DM diagnosis on depression

From: Sick and depressed? The causal impact of a diabetes diagnosis on depression

 

(1)

(2)

(3)

(4)

(5)

T2DM Diagnosis [0,1]

0.006* (0.003)

0.011 (0.006)

0.011 (0.006)

0.016** (0.005)

0.016** (0.005)

Running Variable:

 Normalised HbA1c

0.000 (0.001)

0.001 (0.001)

0.001 (0.001)

0.000 (0.001)

0.000 (0.001)

Attributes:

 Years of Age

 

-0.000 (0.000)

-0.000 (0.000)

0.000 (0.000)

0.000 (0.000)

 Female [0,1]

 

0.006*** (0.001)

0.006*** (0.001)

0.006*** (0.001)

0.006*** (0.001)

 Not Living Alone [0,1]

 

0.002 (0.002)

0.002 (0.002)

0.002 (0.002)

0.002 (0.002)

 Active [0,1]

 

-0.004* (0.002)

-0.004* (0.002)

-0.001 (0.002)

-0.002 (0.002)

 Immigrant [0,1 l

 

-0.006** (0.002)

-0.006** (0.002)

-0.004 (0.002)

-0.004 (0.002)

 Onset of T2DM

 

-0.001** (0.000)

-0.001** (0.000)

-0.001** (0.000)

-0.001** (0.000)

Pre-existing Conditions:

 Hypertension [0,1]

  

-0.000 (0.001)

-0.002 (0.001)

-0.002 (0.001)

 Dyslipedimia [0,1]

  

-0.001 (0.001)

-0.002 (0.001)

-0.002 (0.001)

 Asthma

  

-0.001 (0.003)

-0.001 (0.003)

-0.001 (0.003)

 Neoplasies-cancer

  

-0.003 (0.002)

-0.003 (0.002)

-0.004* (0.002)

 COPD

  

0.000 (0.002)

0.001 (0.002)

0.001 (0.002)

Time FE

   

Area FE

   

GP FE

    

Observations

39,688

34,359

34,359

34,356

34,319

  1. The Table reports RDD estimates of the impact of a T2DM diagnosis on depression. Although not shown in the Table, estimates are conditional on a set of covariates, time, areas and GP fixed effects. Robust standard errors are clustered on the running variable. * p < 0.05, ** p < 0.01, *** p < 0.001