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Table 2 Determinants of women's autonomy in agricultural decision-making

From: Modeling inequality in access to agricultural productive resources and socioeconomic determinants of household food security in Ghana: a cross-sectional study

 

Sensitivity analysis

Adjusted binary logistic regression model

Adjusted Poisson regression model

aOR [95% CI]

aPR [95% CI]

Location

Coastal

1

1

Non-coastal

2.27 [1.39–3.7]**

1.10 [1.04–1.16]**

Age in years

18–24

1

1

25–29

1.41 [0.77–2.56]

1.12 [0.94–1.34]

30–39

2.31 [1.31–4.08]**

1.25 [1.08–1.45]**

40–49

3.16 [1.61–6.19]**

1.3 [1.12–1.51]**

50 or more

4.77 [2.36–9.67]***

1.33 [1.15–1.55]***

Marital status

Married/cohabiting

1

1

Single

0.61 [0.33–1.13]

0.91 [0.78–1.06]

Divorced/separated/widowed

2.94 [1.52–5.69]**

1.08 [1.03–1.13]**

Educational level

None

1

1

Primary

1.09 [0.72–1.67]

1 [0.95–1.06]

Secondary/tertiary

0.69 [0.28–1.71]

0.95 [0.81–1.13]

Household wealth

Poorest

1

1

Poor

1.05 [0.61–1.81]

1.01 [0.92–1.12]

Middle class

1.46 [0.78–2.73]

1.06 [0.96–1.16]

Rich

0.96 [0.52–1.79]

1.01 [0.92–1.12]

Richest

1.84 [0.9–3.79]

1.09 [0.99–1.21]

  1. p value notation: ***p < 0.001; **p < 0.01; *p < 0.05