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Table 3 Bivariate and multivariable logistic regression output showing that factors associated with dietary diversityamong school adolescent girls, Gondar City Administration, northwest Ethiopia, 2017

From: Improved dietary diversity of school adolescent girls in the context of urban Northwest Ethiopia: 2017

Variables Dietary diversity Crude Odds Ratio with 95% C) Adjusted Odds Ratio with 95% CI
  Adequate Not adequate   
Age of adolescent     
 Early 90 (69.2%) 40 (30.8%) 1 1
 Middle 216 (53.7%) 186 (46.3%) 0.52 (0.34,0.79) 1.25 (0.71,2.20)
 Late 93 (39.4%) 143 (60.6%) 0.29 (0.18,0.46) 1.01 (0.51,2.01)
School type     
 Government 280 (45.8%) 332 (54.2%) 1 1
 Private 119 (76.3%) 37 (23.7%) 3.81 (2.55,5.70) 3.17 (1.90,5.28)a
Educational status of father     
 Informal education 173 (46.8%) 197 (53.2%) 1 1
 Primary 44 (49.9%) 52 (46.1%) 0.96 (0.61,1.51) 0.81 (0.50,1.31)
 Secondary 77 (61.6%) 48 (38.4%) 1.83 (1.20,2.76) 1.27 (0.77,2.09)
 College and above 105 (59.3%) 72 (40.7%) 1.66 (1.12,2.39) 0.98 (0.60,1.64)
Educational status of mothers     
 Informal education 193 (45.2%) 234 (54.8%) 1 1
 Primary 69 (59%) 48 (41%) 1.74 (1.15,2.64) 1.24 (0.78,1.96)
 Secondary 72 (58.5%) 51 (41.5%) 1.71 (1.14,2.57) 1.05 (0.62,1.79)
 College and above 65 (64.4%) 36 (35.6%) 2.19 (1.40,3.43) 1.38 (0.69,2.76)
Occupation of the mothers     
 Government employee 69 (55.6%) 55 (44.4%) 1.39 (0.68,2.83) 1.61 (0.74,3.53)
 Housewife 241 (50%) 241 (50%) 1.10 (0.58,2.11) 1.65 (0.81,3.33)
 Daily laborer 17 (43.6%) 22 (56.4%) 0.85 (0.35,2.07) 1.26 (0.49,3.29)
 Merchant 53 (63.9%) 30 (36.1%) 1.95 (0.91,4.20) 2.42 (1.06,5.53)
 Others 19 (47.5%) 21 (52.5%) 1 1
Wealth status     
 1st quintile 75 (45.5%) 90 (54.5%) 0.52(0.34,0.79) 0.78 (0.47,1.29)
 2nd quintile 100 (47.2%) 112 (52.8%) 0.55 (0.37,0.82) 0.80 (0.51,1.25)
 3rd quintile 106 (53%) 94 (47%) 0.70 (0.47,1.04) 0.85 (0.54, 1.31)
 4th quintile 118 (61.8%) 73 (38.2%) 1 1
Availability of latrine     
 Yes 324 (53.4%) 283 (46.6%) 1.31 (0.93,1.86) 0.88 (0.60,1.32)
 No 75 (46.6%) 86 (53.4%) 1 1
Stunting     
 Stunted 115 (44.4%) 144 (55.6%) 1 1
 Normal 284 (55.8%) 225 (44.2%) 1.58 (1.17, 2.14) 1.00 (0.70, 1.42
Residence     
 Urban 380 (53%) 337 (47%) 1.90 (1.06, 3.41) 2.00 (0.84, 3.01)a
 Rural 19 (37.3%) 32 (62.7%) 1 1
Respondents educational status     
 5–8 184 (64.1%) 103 (35.9%) 1 1
 9–10 197 (47.2%) 220 (52.8%) 0.50 (0.37, 0.68) 0.69 (0.46, 1.03)
 11–12 18 (28.5%) 46 (71.9%) 0.22 (0.12, 0.40) 0.23 (0.11, 0.50)
  1. aindicate significant at p value less than 0.05 in multivariable logistic analysis