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Table 3 Logistic regression results of the main demands for community-based care services

From: Demand for community-based care services and its influencing factors among the elderly in affordable housing communities: a case study in Nanjing City

VariablesThe elderly care hotlineBuilding health archivesOn-call nursing and doctor visitsRegular medical examinationsSporting fitness
Sociodemographic characteristics
 Gender (Male)1.3080.5771.2300.396*1.224
 Educational level1.1161.3271.391*1.0681.004
 Health status1.1411.2570.545**0.9182.545***
 Self-care ability0.7100.415**0.6430.4880.912
 Career (other)1.0001.0001.0001.0001.000
  Daily laborer0.3810.5180.167**0.7621.126
  Public institution employee0.4450.5990.098**0.580.327
 State-owned company employee0.3870.3720.170*0.3200.243*
 Private company employee0.7750.9460.075***0.6190.487
Family structure
 Living status (Three generations living together)1.0001.0001.0001.0001.000
  With spouse2.701*0.7220.322*2.2973.221*
  With children2.986*1.0290.6954.011*3.349*
Economic characteristics
 Income source (other)1.0001.0001.0001.0001.000
  Retirement pension and endowment insurance1.0576.030**3.3858.878*0.363
  Money from children or relatives0.7368.729**4.476*1.3930.338
  Personal labor income0.4322.07411.666*4.0610.144*
Elderly care intention
 Elderly care intention (Community-based care facilities)1.0001.0001.0001.0001.000
  Private homes0.255***0.408*0.6480.6871.114
  Long-term care institution1.4620.032**0.1940.3860.377
Thepvalue of Hosmer and Lemeshow Test0.0980.1860.2760.2430.210
Percentage of correct prediction68%77%71%84%71%
  1. 1.The category in parentheses for each variable is the reference group; 2. *** p < 0.001, ** p < 0.01, * p < 0.05; 3. Table S1 in Additional file 2 describes confidence interval data of these five models