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Table 4 Socio-demographic characteristics and lifestyle behaviors factors associated with scale scores of SF-36 resulted from multiple linear regression

From: A population-based study on health-related quality of life among urban community residents in Shenyang, Northeast of China

Scales

PF

RP

BP

GH

VT

SF

RE

MH

PCS

MCS

Gender

0.030*

0.031*

 

0.032*

    

−0.044**

 

Age

−0.126***

−0.071***

−0.061***

−0.071***

 

−0.035*

−0.44**

 

−0.137***

 

Educational level

          

Senior high school

   

−0.052**

   

−0.041*

  

Junior middle school

−0.085***

  

−0.069***

   

−0.044*

−0.90***

 

Primary school or lower

−0.084***

−0.096***

−0.055***

−0.080***

 

−0.047**

−0.091***

 

−0.105***

 

Marital status

          

Currently married

  

−0.033*

 

0.062***

0.053**

 

0.038*

 

0.052**

Divorced or widowed

−0.045**

−0.075***

−0.069***

−0.060***

  

−0.06***

 

−0.083***

 

Ethnic groupa

          

Hui

    

−0.038**

     

Miao

−0.034*

      

−0.028*

  

Living environment

          

rural

    

−0.028*

     

Medical insurance

          

The new rural cooperative medical care

0.040*

         

Medical insurance for urban residents and workers

 

−0.40*

 

−0.031*

      

Chronic diseases

0.050***

0.102***

0.104***

0.126***

  

0.065***

 

0.118***

 

Having Breakfast frequency weekly

          

4–5 days

   

−0.105**

    

−0.077*

 

2–3 days

   

−0.104**

    

−0.084*

 

Less than 2 days

  

−0.049*

−0.073**

−0.064**

  

−0.065**

−0.057**

−0.046*

Sleep quality

          

Still good

  

0.252**

0.274***

0.184*

   

0.212**

 

Not good

  

0.239**

0.220*

0.187*

   

0.191*

 
  1. Variable coding. Gender (male = 1, female = 0) and chronic disease (yes = 1, no = 0) were the binomial variables. Educational level was assessed with a set of four dummy variables (college = 1, other = 0; senior high school = 1, other = 0; junior middle school = 0, other = 1 and primary school or lower = 1, other = 0) with university or higher as the reference category; marital status was assessed with a set of two dummy variables(currently married = 1 and divorced or widowed = 0), with currently unmarried as the reference category; ethnic group was assessed with a set of five dummy variables (Hui = 1, other = 0; Miao = 1, other = 0; Wei = 1, other = 0; Man = 1, other = 0 and Zhuang = 1, other = 0) with Han as the reference category; medical insurance assessed a set of tw0 dummy variables (the new rural cooperative medical care = 1, medical insurance for urban residents and workers = 0) with expenses of one’s own as the reference category; having breakfast weekly assessed with a set of three dummy variables (less than 2 days = 1, other = 0; 2–3 days = 1, other = 0 and 4–5 days = 1, other = 0) with more than 5 days as the reference category; sleep quality also assessed with a set of three dummy variables (fairly good = 1, other = 0; not good = 1, other = 0 and very poor = 1, other = 0) with very good as the reference category
  2. PF = physical functioning, RP = role limitations due to physical problems, BP = bodily pain, GH = general health, VT = vitality, SF = social functioning, RE= role limitations due to emotional problems, MH= mental health, PCS= physical component summary, MCS= mental component summary
  3. *P-value < 0.05. **P-value < 0.01. ***P-value < 0.001
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BMC Public Health

ISSN: 1471-2458

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