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Table 3 Logistic regression results on socio-demographic predictors of overweight/obesity among women in Ghana, GHDS: 2003–2014

From: Socio-demographic trends in overweight and obesity among parous and nulliparous women in Ghana

 

Parous

Nulliparous

Characteristic

Model I OR [95 % CI]

Model II OR [95 % CI]

Model I OR [95 % CI]

Model II OR [95 % CI]

Number of children

 1

1.0

1.0

na

na

 2

1.732**

1.369**

na

na

[1.473,2.036]

[1.123,1.670]

na

na

 3

1.548**

1.114

na

na

[1.310,1.831]

[0.896,1.385]

na

na

 4

1.624**

1.179

na

na

[1.366,1.931]

[0.934,1.487]

na

na

 5

1.339**

1.100

na

na

[1.111,1.615]

[0.857,1.412]

na

na

 6

1.192

1.309

na

na

[0.973,1.462]

[0.997,1.720]

na

na

 7+

0.975

1.348

na

na

[0.809,1.174]

[1.034,1.758]

na

na

Age group (years)

 15–24

1.0

1.0

1.0

1.0

 25–34

3.072**

2.404**

4.138**

2.031**

[2.561,3.685]

[1.928,2.997]

[3.319,5.159]

[1.562,2.641]

 35–44

4.300**

3.528**

8.623**

3.584**

[3.587,5.156]

[2.760,4.510]

[5.616,13.24]

[2.152,5.967]

 45+

3.799**

3.314**

5.905**

3.205*

[3.089,4.673]

[2.506,4.381]

[1.898,18.37]

[1.005,10.22]

Educational level

 No education

1.0

1.0

1.0

1.0

 Primary

2.415**

1.517**

0.858

0.885

[2.070,2.817]

[1.257,1.831]

[0.558,1.318]

[0.561,1.397]

 Middle/JSS/JHS

2.881**

1.296**

1.279

0.932

[2.540,3.268]

[1.095,1.534]

[0.893,1.831]

[0.629,1.381]

 Secondary/higher

3.461**

1.467**

2.848**

1.171

[2.973,4.029]

[1.201,1.793]

[1.946,4.167]

[0.764,1.796]

Marital status

 Never married

1.0

1.0

1.0

1.0

 Married

1.658**

1.496**

3.835**

1.789**

[1.314,2.091]

[1.115,2.008]

[2.801,5.252]

[1.208,2.649]

 Cohabiting

1.289

1.127

2.120**

1.510

[0.990,1.679]

[0.825,1.539]

[1.459,3.080]

[0.996,2.289]

 Previously married

2.058**

1.428*

3.883**

2.161*

[1.591,2.663]

[1.040,1.961]

[2.298,6.559]

[1.190,3.925]

Wealth quintile

 Poorest

1.0

1.0

1.0

1.0

 Poorer

1.949**

1.503**

1.245

1.126

[1.611,2.358]

[1.220,1.852]

[0.735,2.107]

[0.651,1.947]

 Middle

3.533**

2.220**

2.516**

2.238**

[2.952,4.227]

[1.786,2.759]

[1.588,3.986]

[1.341,3.733]

 Richer

7.472**

4.132**

5.588**

4.480**

[6.253,8.927]

[3.241,5.268]

[3.663,8.526]

[2.678,7.493]

 Richest

15.49**

7.648**

7.792**

5.825**

[12.86,18.65]

[5.836,10.02]

[5.162,11.76]

[3.438,9.869]

Occupation

 Not working

1.0

1.0

1.0

1.0

 Prof/managerial

2.197**

1.315*

3.568**

1.800**

[1.760,2.743]

[1.023,1.689]

[2.799,4.548]

[1.361,2.381]

 Sales/Trade

2.184**

1.435**

2.801**

1.553**

[1.835,2.599]

[1.178,1.749]

[2.216,3.542]

[1.185,2.035]

 Agriculture

0.426**

0.702**

0.567*

0.953

[0.354,0.514]

[0.561,0.879]

[0.357,0.903]

[0.581,1.562]

 Manual labour

1.261*

1.086

2.090**

1.360

[1.022,1.556]

[0.857,1.377]

[1.557,2.806]

[0.988,1.872]

Type of locality

 Urban

1.0

1.0

1.0

1.0

 Rural

0.285**

0.958

0.402**

1.158*

[0.257,0.316]

[0.825,1.113]

[0.330,0.489]

[0.892,1.504]

Ethnicity

 Akan

1.0

1.0

1.0

1.0

 Ga/Adangbe

1.305**

1.195

1.591**

1.582**

[1.081,1.576]

[0.957,1.493]

[1.191,2.127]

[1.151,2.173]

 Ewe

0.831*

1.034

0.935

1.059

[0.716,0.963]

[0.873,1.225]

[0.708,1.233]

[0.787,1.424]

 Mole-Dagbani

0.357**

0.663**

0.584**

1.000

[0.307,0.416]

[0.546,0.804]

[0.438,0.779]

[0.726,1.377]

 Gurma

0.177**

0.495**

0.485*

0.947

[0.124,0.251]

[0.345,0.709]

[0.266,0.884]

[0.479,1.871]

 Others

0.694**

1.041

0.994

1.394*

[0.590,0.817]

[0.860,1.260]

[0.752,1.313]

[1.025,1.897]

Survey year

 2003

1.0

1.0

1.0

1.0

 2008

1.309**

1.389**

1.261*

1.404**

[1.164,1.471]

[1.197,1.613]

[1.023,1.554]

[1.113,1.772]

 2014

2.134**

2.386**

1.719**

1.888**

[1.891,2.407]

[2.051,2.775]

[1.380,2.142]

[1.479,2.410]

N

9028

9028

4454

4454

 Pseudo R2

 

0.1994

 

0.1468

 Wald X2 (df)

 

1401.38 (31)

 

403.06 (25)

 Prob. > X2

 

0.0000

 

0.0000

 Hosmer-Lemeshow X2 (df)

5.50 (8)

 

12.66 (8)

 Prob. > X2

 

0.7032

 

0.1242

  1. OR Odds Ratios; 95 % confidence intervals in brackets, *p < .05, **p < .01; na = not applicable
  2. Model I = Bivariate logistic regression analysis
  3. Model II = Multivariate logistic regression analysis (age, educational level, marital status, wealth quintile, occupation, type of locality, ethnicity, number of children (only parous women), and survey year)