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Table 5 The relationships between potential factors and different alcohol consumption behaviors using logistic regression models with corresponding odds ratio and 95% confidence intervals in women

From: Alcohol consumption and associated factors among middle-aged and older adults: results from China Health and Retirement Longitudinal Study

  Alcohol consumption behaviors
  Current drinking Binge drinking Heavy drinking Daily alcohol consumption
Age (years) a
  45~49 1.00 1.00 1.00 1.00
  50~54 1.41 (0.89, 2.23) 0.23 (0.04, 1.25) 1.78 (0.70, 4.49) 1.73 (0.64, 4.71)
  55~59 1.50 (1.00, 2.25) 1.06 (0.38, 2.96) 2.38 (1.26, 4.48) * 2.44 (1.25, 4.77) *
  60~64 1.83 (1.18, 2.83) * 2.07 (0.69, 6.17) 3.34 (1.71, 6.54) * 3.42 (1.72, 6.81) *
  65~69 1.61 (0.95, 2.71) 0.38 (0.10, 1.44) 1.97 (0.89, 4.35) 1.88 (0.83, 4.26)
  70~74 1.31 (0.70, 2.46) - 1.28 (0.45, 3.65) 1.49 (0.54, 4.10)
  ≥75 1.75 (0.90, 3.40) - 3.54 (1.43, 8.75) * 3.77 (1.63, 8.73) *
Rural-urban status
  Rural 1.00 1.00 1.00 1.00
  Urban 0.86 (0.56, 1.34) 4.23 (1.57, 11.38) * 0.63 (0.31, 1.28) 0.49 (0.21, 1.12)
Marital status
  Separated/divorced/widowed/ never been married 1.00 1.00 1.00 1.00
  Married 0.93 (0.52, 1.66) 0.83 (0.21, 3.20) 0.62 (0.23, 1.66) 0.75 (0.29, 1.96)
Living alone
  No 1.00 1.00 1.00 1.00
  Yes 1.20 (0.74, 1.94) 1.85 (0.48, 7.09) 0.92 (0.36, 2.30) 1.06 (0.44, 2.55)
Education
  Illiteracy 1.00 1.00 1.00 1.00
  Primary or junior high school 1.12 (0.83, 1.51) 0.24 (0.08, 0.71) * 1.14 (0.69, 1.89) 1.30 (0.74, 2.27)
  Senior high school 0.89 (0.55, 1.45) 0.54 (0.15, 1.97) 0.93 (0.42, 2.08) 0.89 (0.36, 2.17)
  Graduate 1.71 (0.99, 2.96) 1.06 (0.35, 3.26) 2.19 (0.85, 5.67) 2.07 (0.68, 6.32)
Smoking
  No 1.00 1.00 1.00 1.00
  Yes 3.85 (2.69, 5.52) * 7.17 (3.08, 16.69) * 6.33 (3.95, 10.15) * 5.99 (3.63, 9.88) *
Self- Comment of Your Health
  Excellent 1.00 1.00 1.00 1.00
  Very good 0.98 (0.50, 1.95) 1.02 (0.22, 4.63) 0.84 (0.32, 2.22) 0.81 (0.28, 2.29)
  Good 0.98 (0.48, 1.98) 0.96 (0.19, 4.78) 0.66 (0.25, 1.76) 0.70 (0.25, 1.94)
  Fair 0.77 (0.38, 1.57) 0.55 (0.10, 3.03) 0.47 (0.16, 1.36) 0.46 (0.15, 1.40)
  Poor 0.72 (0.33, 1.54) 0.25 (0.04, 1.56) 0.66 (0.22, 1.97) 0.64 (0.20, 2.07)
Region a
  Central 1.00 1.00 1.00 1.00
  East 1.63 (1.03, 2.58) * 0.80 (0.23, 2.79) 2.06 (0.97, 4.38) 1.90 (0.89, 4.03)
  North 0.75 (0.45, 1.25) 0.79 (0.23, 2.80) 0.72 (0.31, 1.70) 0.56 (0.23, 1.34)
  South 1.04 (0.62, 1.74) 0.68 (0.13, 3.48) 1.07 (0.47, 2.46) 1.23 (0.53, 2.86)
Depression
  No 1.00 1.00 1.00 1.00
  Yes 1.24 (0.91, 1.68) 1.81 (0.73, 4.52) 1.06 (0.64, 1.76) 1.06 (0.60, 1.85)
Working status
  NO 1.00 1.00 1.00 1.00
  Yes 2.36 (1.70, 3.26) * 4.55 (2.08, 9.94) * 2.87 (1.76, 4.66) * 2.15 (1.30, 3.58) *
Social activities
  No 1.00 1.00 1.00 1.00
  Yes 1.26 (0.99, 1.60) 1.31 (0.60, 2.89) 1.11 (0.75, 1.64) 1.04 (0.71, 1.53)
Sleep time
  <6.0 h 0.91 (0.64, 1.29) 0.42 (0.14, 1.27) 0.82 (0.49, 1.38) 0.81 (0.50, 1.33)
  6.0~7.9 h 1.00 1.00 1.00 1.00
  ≥8.0 h 1.08 (0.79, 1.47) 1.02 (0.40, 2.58) 1.02 (0.64, 1.65) 1.06 (0.65, 1.73)
  1. Model were adjusted for age groups, rural-urban status, marital status, living status, education, smoking status, self- comment of health, region, depression, working status, social activities and sleep time
  2. *, P<0.05
  3. a Several categories in the statistical analysis were merged because of a small number of observations