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Table 4 Binary logistic regression analysis of predictors of PCS 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

-0.301

0.461-1.189

0.214

-0.332

0.442-1.164

0.178

Age (per year)

---

-0.066

0.899-0.975

0.002

-0.059

0.904-0.963

0.006

Occupation (unemployed)

Agriculture

0.373

0.863-2.446

0.180

0.412

0.879-2.596

0.135

Workers

0.414

0.742-3.088

0.255

0.310

0.656-2.831

0.407

Education (illiterate)

Elementary school

-0.242

0.429-1.436

0.432

-0.284

0.402-1.410

0.376

Junior middle school

0.494

0.832-3.233

0.153

0.510

0.811-3.417

0.165

Senior middle school

0.387

0.598-3.628

0.400

0.382

0.584-3.676

0.416

Marital status (with spouse)

Without spouse

-0.182

0.348-1.998

0.683

-0.163

0.336-2.150

0.731

Lives with others except spouse (yes)

No

   

-0.211

0.521-1.260

0.350

Household per capita income (per 1000 ¥)

---

   

0.061

1.007-1.122

0.026

Household per capita living space (per m2)

---

   

-0.001

0.994-1.004

0.616

Drinking water supply (unsafe water)

Safe water

   

0.472

1.239-3.316

0.041

Frequency of household members caring about each other(seldom)

Always

   

1.184

1.138-9.384

0.028

Often

   

0.817

0.754-6.792

0.145

  1. Block 1 includes only individual-level factors; block 2 also includes household-level factors. For the block 1 model: R squared = 0.125, Model Sig. <0.001; for the block 1 and 2 model: R squared = 0.207, Model Sig. <0.001.