Table 4.
Socio-demographic characteristics and lifestyle behaviors factors associated with scale scores of SF-36 resulted from multiple linear regression
| 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* |
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
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
*P-value < 0.05. **P-value < 0.01. ***P-value < 0.001