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Table 4 Factors associated with obesity on univariate analysis logistic regression analysis

From: Prevalence and factors associated with overweight and obesity in selected health areas in a rural health district in Cameroon: a cross-sectional analysis

Variables

Number of cases (N = 117)

OR (95% CI)

p-value

Age below 50 years (Ref: Age > 50)

62

1.62 (1.06–2.47)

0.025*

Sex (Female)

96

2.94 (1.78–5.03)

< 0.001$,*

Marital status (Married)

99

1.94 (1.14–3.46)

< 0.0195$,*

Employment (Unemployed)

73

0.66 (0.43–1.03)

0.065*

Occupation (Ref: Low/unemployed)

87

Ref

 

 Medium or high

29

0.90 (0.55–1.44)

0.660

Level of education (Ref: None)

19

 

0.009$,*

 Primary

35

1.82 (0.99–3.03)

 

 Secondary/tertiary

63

2.18 (1.25–3.93)

 

Family History of hypertension (Yes)

38

1.42 (0.90–2.22)

0.131*

Smoking status (Ref: Never smoker)

102

 

0.078$,*

 Ex-smoker

10

0.44 (0.15–1.07)

 

 Current Smoker

5

0.77 (0.35–1.54)

 

Exposure to wood smoke (Yes)

103

1.17 (0.62–2.33)

0.642

Units of alcohol consumption (Ref: Non-drinker)

33

 

0.831

 (0.01, 6.49]

45

1.16 (0.69–1.94)

 

 (6.49, 117]

37

1.09 (0.64–1.87)

 

Vegetable consumption (>  4 days/week)

10

1.10 (0.50–2.26)

0.804

Fruit consumption (>  4 days/week)

29

1.35 (0.82–2.20)

0.227

Intensity of daily physical activity (Ref: None)

58

 

0.991

 Moderate

47

1.07 (0.68–1.66)

 

 Vigorous

11

0.93 (0.43–1.89)

 
  1. *Included in the multiple regression analysis; OR Odd’s ratio, aOR adjusted Odd’s ratio, CI confidence interval; $Significant p-value; Ref Reference category