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Table 5 Binary logistic regression analysis of predictors of MCS among 428 middle-aged residents of 12 rural villages in Mid-east China in 2013

From: Individual and household-level predictors of health related quality of life among middle-aged people in rural Mid-east China: a cross-sectional study

Variable (reference value)

Variable’s value

Block 1 model

Block 1 and 2 model

  

β

OR(95% CI)

Sig.

β

OR(95% CI)

Sig.

Sex(male)

Female

-0.132

0.536-1.432

0.598

-0.252

0.464-1.302

0.339

Age (per year)

---

-0.020

0.940-1.023

0.363

-0.010

0.947-1.036

0.671

Occupation (unemployed)

Agriculture

0.108

0.652-1.903

0.694

0.308

0.768-2.413

0.292

Workers

0.026

0.489-2.155

0.944

-0.242

0.359-1.716

0.544

Education (illiterate)

Elementary school

0.008

0.547-1.856

0.980

-0.226

0.416-1.532

0.498

Junior middle school

0.440

0.767-3.144

0.222

0.146

0.540-2.480

0.707

Senior middle school

0.602

0.693-4.808

0.223

0.399

0.544-4.085

0.438

Marital status (with spouse)

Without spouse

-0.193

0.352-1.935

0.658

-0.211

0.320-2.050

0.656

Lives with others except spouse (yes)

No

   

-0.485

0.384-0.988

0.044

Household per capita income (per 1000 ¥)

---

   

0.156

1.098-1.245

<0.001

Household per capita living space (per m2)

---

   

-0.003

0.992-1.002

0.285

Drinking water supply (unsafe water)

Safe water

   

0.581

1.111-2.879

0.017

Frequency of household members caring about each other(seldom)

Always

   

0.963

1.087-6.952

0.043

Often

   

0.357

0.516-3.959

0.493

  1. Block 1 includes only individual-level factors; block 2 also includes household-level factors. For the block 1 model: R squared = 0.031, Model Sig. = 0.320; for the block 1 and 2 model: R squared = 0.138, Model Sig. <0.001.