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. 2020 Mar 5;17(5):1701. doi: 10.3390/ijerph17051701

Table 6.

Odds ratios of anticipated community-based services (binary logistic regression).

Variables Personal Care Home Visit Psychological Consulting Daily Shopping Social and Recreational Activities Legal Aid Healthcare Education
Predisposing variables: Group (Ref. Urban aged <80)
Rural aged <80 1.12 (0.90,1.39) 0.62 (0.47,0.82) *** 1.34 (0.91,1.42) 0.97 (0.78,1.20) 1.27 (1.02,1.58) * 1.13 (0.91,1.41) 1.32 (1.02,1.70) *
Rural aged 80+ 1.21 (1.01,1.45) * 0.83 (0.65,1.06) 1.33 (1.10,1.60) ** 1.11 (0.93,1.33) 1.27 (1.05,1.52) * 1.12 (0.93,1.34) 1.25 (1.01,1.54) *
Urban aged 80+ 1.12 (0.91,1.38) 0.75 (0.57,0.99)* 1.07 (0.86,1.32) 0.95 (0.77,1.16) 1.14 (0.92,1.40) 1.12 (0.90,1.38) 1.29 (1.01,1.66) *
Years of schooling (Ref. 0)
1–7 1.16 (0.98,1.37) 0.95 (0.76,1.17) 1.11 (0.94,1.32) 1.20 (1.01,1.42) * 1.16 (0.97,1.37) 1.13 (0.95,1.34) 1.17 (0.95,1.43)
>7 1.26 (0.99,1.61) 0.85 (0.63,1.14) 1.19 (0.93,1.53) 1.52 (1.19,1.94) *** 1.31 (1.02,1.69) * 1.30 (1.01,1.66) * 1.16 (0.87,1.55)
Living alone (Ref. No) 1.63 (1.21,2.19) ** 1.33 (1.19,1.99) * 1.64 (1.21,2.23) ** 1.55 (1.16,2.07) ** 1.28 (0.95,1.72) 1.13 (0.85,1.51) 1.20 (0.84,1.71)
Occupation (Ref. Non-peasant) 1.27 (1.05,1.53) * 1.40 (1.11,1.76) ** 1.38 (1.15,1.67) *** 1.44 (1.20,1.73) *** 1.25 (1.03,1.50) * 1.29 (1.07,1.55) ** 1.38 (1.11,1.70) **
Enabling variables:
Financial support sufficient to pay for
daily expenses (Ref. No)
1.38 (1.12,1.71) ** 1.19 (1.11,1.47) * 1.12 (0.9,1.39) 1.17 (0.95,1.44) 1.15 (0.93,1.43) 1.26 (1.02,1.56) * 1.13 (0.88,1.45)
Total income of your household last year (Ref. <¥15,000)
¥15,000–50,000 0.78 (0.66,0.93) ** 0.71 (0.57,0.88) ** 0.89 (0.75,1.06) 0.76 (0.64,0.9) ** 0.89 (0.75,1.05) 0.76 (0.64,0.9) ** 0.70 (0.57,0.85) ***
>¥50,000 0.86 (0.71,1.05) 0.71 (0.55,0.92) ** 0.87 (0.72,1.07) 0.84 (0.69,1.02) 1.14 (0.94,1.40) 0.92 (0.75,1.12) 0.81 (0.64,1.02)
Needs variables:
Feel lonely and isolated (Ref. Seldom/never)
Always/often 1.29 (0.93,1.80) 0.93 (0.62,1.39) 1.07 (0.77,1.49) 1.12 (0.81,1.56) 1.04 (0.75,1.45) 1.09 (0.79,1.51) 0.96 (0.66,1.38)
Sometimes 1.48 (1.22,1.79) *** 1.30 (1.01,1.67) * 1.59 (1.3,1.93) *** 1.32 (1.09,1.59) ** 1.31 (1.08,1.60) ** 1.47 (1.21,1.78) *** 1.51 (1.20,1.91) ***
Feel depressed # (Ref. No) 1.33 (1.05,1.67)* 1.69 (1.29,2.23) *** 1.36 (1.08,1.72) 1.21 (0.96,1.52) 1.14 (0.9,1.44) 1.31 (1.04,1.65) * 1.42 (1.10,1.84) **
Model summary:
Nagelkerke R2
0.13 0.13 0.12 0.13 0.12 0.12 0.12
χ2 with df = 64 (p-value) 115.85(<0.0001) 114.9 (<0.0001) 80.98 (<0.0001) 98.84 (<0.0001) 85.52 (0.0004) 87.95 (0.0002) 89.1 (<0.0001)
−2Log likelihood 4892.38 1414.27 1760.73 1927.03 1766.73 1822.94 1826.54

Note: n = 6909. In this study, seven binary logistic regression results were integrated in Table 6, taking “no anticipated needs for community-based services” as a reference. Values in parentheses are the odds ratios without controlling for other variables. The table presents the final results when all sets of variables were entered at once, for the sake of presentational simplification. * p < 0.05, ** p < 0.01, *** p < 0.001.