Table 5 Non-parametric RD estimates of the effects of hypertension diagnosis on daily consumption of food groups.

From: More information, better diet?―regression-discontinuity evidence from hypertension diagnoses in China

 

Amount consumed

Food groups in the DDS

DBI components

 

(1)

(2)

(3)

(4)

(5)

(6)

(7)

(8)

(9)

Estimator

Mean

[SD]

RD estimates

(cutoff: SBP = 140)

Optimal

bandwidth

Mean

[SD]

RD Estimates

(cutoff: SBP = 140)

Optimal bandwidth

Mean

[SD]

RD Estimates

(cutoff: SBP = 140)

Optimal bandwidth

Sample

Non-hypertensive

(SBP < 140,

DBP < 90)

Diastolic normal (DBP < 90)

 

Non-hypertensive

(SBP < 140,

DBP < 90)

Diastolic normal (DBP < 90)

 

Non-hypertensive

(SBP < 140,

DBP < 90)

Diastolic normal (DBP < 90)

 

DBI-1: Dietary variety

       

−0.610***

 
        

(0.179)

 

DBI-2: Grains (g)

         

Rice

259.93

−19.964

16.36

0.82

−0.078*

19.20

5.16

0.782

16.50

 

[176.46]

(23.446)

 

[0.34]

(0.046)

 

[4.97]

(0.477)

 

Wheat

143.01

52.079**

14.16

0.62

0.050

17.68

   
 

[157.00]

(22.833)

 

[0.41]

(0.053)

    

Other grains

68.37

−4.009

16.98

0.43

−0.092*

12.09

   
 

[85.93]

(9.366)

 

[0.39]

(0.051)

    

DBI-3: Vegetables & fruits (g)

         

Dark vegetables

60.36

13.717

13.33

0.33

0.042

14.23

−1.74

0.057

17.30

 

[86.00]

(9.423)

 

[0.37]

(0.042)

 

[1.37]

(0.150)

 

Light-colored veg.

269.82

−1.325

12.90

0.88

−0.037*

16.48

   
 

[160.89]

(19.445)

 

[0.23]

(0.021)

    

Fruits

35.90

−17.316*

15.03

0.17

−0.075**

16.32

−5.27

−0.288*

16.64

 

[83.55]

(9.640)

 

[0.33]

(0.037)

 

[1.52]

(0.172)

 

DBI-4: Dairy & bean products (g)

         

Dairy products

8.09

−9.622

12.53

0.04

−0.027

15.14

−5.83

−0.093

17.57

 

[36.09]

(5.881)

 

[0.18]

(0.026)

 

[0.75]

(0.099)

 

Soybean products

45.13

−7.455

16.18

0.30

−0.068*

13.83

−4.21

−0.461**

13.44

 

[58.70]

(6.487)

 

[0.32]

(0.038)

 

[1.89]

(0.227)

 

DBI-5: Animal protein (g)

         

Livestock

214.36

−47.968**

14.25

0.75

−0.141***

13.34

1.73

−0.945**

12.43

 

[185.24]

(22.414)

 

[0.36]

(0.048)

 

[2.77]

(0.394)

 

Poultry

20.84

−5.284

12.39

0.17

−0.040

11.74

   
 

[40.87]

(5.212)

 

[0.29]

(0.039)

    

Aquatic products

27.18

−8.689

12.95

0.18

−0.039

15.66

−3.33

−0.157

14.35

 

[47.11]

(5.950)

 

[0.27]

(0.035)

 

[1.04]

(0.140)

 

Egg

24.53

−4.150

16.32

0.31

−0.033

16.10

−2.07

−0.240

16.91

 

[30.05]

(3.550)

 

[0.33]

(0.040)

 

[2.16]

(0.251)

 

DBI-6: Oil, condiments & alcoholic beverages (g)

      

Oil

77.25

−11.651

15.12

   

2.54

−0.215

12.72

 

[77.51]

(7.863)

    

[1.60]

(0.201)

 

Salt

16.95

0.267

17.29

   

2.67

0.169

14.71

 

[15.64]

(1.560)

    

[1.51]

(0.191)

 

Alcohol

10.05

1.631

14.04

   

0.20

−0.020

16.80

 

[47.32]

(5.066)

    

[0.76]

(0.079)

 
 

14,819

        

Observations in the full analytical sample

15,564

  

15,432

  

15,432

  1. Data were drawn from the China Health and Nutrition Survey (1997, 2000, 2004, 2006, 2009, 2011). Analytical samples are restricted to observations within ±40 mmHg intervals of the respective cutoffs. The actual sample size is determined by the optimal bandwidth chosen by minimizing the mean squared error to produce lower biases (Calonico et al. 2014). Non-parametric RD estimates using the triangular kernel and the associated optimal bandwidth are reported.
  2. Standard deviations are reported in brackets. Robust standard errors are reported in parentheses, clustered at the community level.
  3. ***p < 0.01; **p < 0.05; *p < 0.1.
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