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Table 1 Proportional distribution of prehypertension status by wealth index and other background characteristics

From: Examining the influence of wealth status on prehypertension risk in women aged 30–49: evidence from the 2018 Benin demographic and health survey

Explanatory variables

Pre-hypertension status

Normotension n (%)

Prehypertension n (%)

Overall

2,209(71.75)

578(18.78)

Wealth index

X2 = 31.3442, P < 0.001

Poorest

436(72.90)

102(17.09)

Poorer

465(74.38)

93(14.92)

Middle

414(74.29)

91(16.28)

Richer

453(72.36)

127(20.28)

Richest

441(65.63)

165(24.55)

Covariates

  

Age

X2 = 26.4672, P < 0.001

30–34

761(76.62)

162(16.36)

35–39

653(71.79)

169(18.57)

40–44

406(68.32)

125(21.01)

45–49

388(66.88)

122(20.97)

Educational level

X2 = 6.1152, P = 0.410

No education

1,637(72.21)

414(18.25)

Basic education

349(71.19)

96(19.56)

Secondary

197(70.92)

56(20.09)

Higher

25(59.30)

13(29.71)

Occupation status

X2 = 2.5275, P = 0.283

Unemployed

242(74.56)

51(15.87)

Employed

1,967(71.42)

527(15.87)

Type of residence

X2 = 19.1465, P < 0.001

Urban

913(68.54)

298(22.37)

Rural

1,296(74.20)

280(16.05)

Marital status

X2 = 9.1668, P = 0.057

Never married

28(64.21)

11(26.35)

Married

1,984(72.04)

500(18.14)

Formerly married

196(70.15)

67(23.92)

Type of cooking fuel

X2 = 16.7707, P < 0.001

Clean fuel

78(56.06)

45(31.99)

Unclean fuel

2,130(72.50)

533(18.15)

  1. Note: estimates are weighted