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Table 3 Factors influencing milk, fruits and vegetables intake

From: Postpartum practices of puerperal women and their influencing factors in three regions of Hubei, China

Response variables Independent variables* Estimate Standard error P value Standardized Estimate OR 95%CI
Milk intake Location – rural 1.342 0.225 < 0.001 0.358 3.83 2.46~5.95
  Location – urban -1.052 0.143 < 0.001 -0.270 0.35 0.26~0.46
  Woman's education level -0.416 0.069 < 0.001 -0.255 0.66 0.58~0.76
  Family income -0.303 0.072 < 0.001 -0.148 0.74 0.64~0.85
  Attending nutrition education courses -0.467 0.155 0.003 -0.115 0.63 0.46~0.85
Fruit intake Attending nutrition education courses -0.781 0.161 < 0.001 -0.192 0.46 0.33~0.63
  Knowledge that fruits intake is allowed when 'sitting month' -0.685 0.134 < 0.001 -0.188 0.50 0.39~0.66
  Location – rural 0.601 0.182 0.001 0.161 1.82 1.28~2.61
  Location – urban -0.551 0.151 < 0.001 -0.143 0.58 0.43~0.78
  Family income -0.237 0.072 0.001 -0.116 0.79 0.69~0.91
  Belief that fruit are cold in nature 0.368 0.127 0.004 0.101 1.45 1.13~1.85
  Woman's education level -0.141 0.067 0.035 -0.087 0.87 0.76~0.99
Vegetable intake Location – rural -1.646 0.101 < 0.001 -0.443 0.19 0.16~0.24
  Knowledge that vegetable intake is allowed when 'sitting month' -0.520 0.086 < 0.001 -0.143 0.59 0.50~0.70
  Diet arranged by mother or mother-in-law 0.313 0.093 0.001 0.077 1.37 1.14~1.64
  Husband's education level -0.095 0.046 0.037 -0.054 0.91 0.83~0.99
  1. *The independent variables above were selected by stepwise regression to enter into the final models. All potential independent variables were listed in the statistical analysis section.