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Research purposes of this study, Daqing City, Heilongjiang Province as the study site, through self-designed structured questionnaire 12 entries brief quality of life scale (12-Item Short-Form Health Survey Questionnaire, SF-12) and the health status of physical examination, to understand the population of our urban shift social demographic characteristics (age, education level, family income, marital status), lifestyle (smoking, drinking, tea drinking, physical exercise), physiological indicators (BMI (Body Mass Index, BMI) and blood pressure), sleep quality, distribution and quality of life, and normal class population comparison; same time, explore the shift with the relationship between the quality of life of populations, propose appropriate occupational health and educational countermeasures to avoid or reduce the occupational hazards of shift work crowd. . Research methods. Survey: application to design structured questionnaire (the Daqing City tumor prevention and control system project baseline information questionnaire) and the SF-12 quality of life scale questionnaire. Structure questionnaire survey study population, such as socio-demographic characteristics, lifestyle, biological rhythms, sleep quality and shift conditions. SF-12 quality of life questionnaire including eight dimensions: general health status (General Health, GH), physical function (Physical Functioning, PF), role limitations caused due to health (Role-Physical, RP), bodily pain (Bodily Pain, BP), role limitations due to emotional problems (Role-Emotional, RE), mental health (Mental Health, MH), vitality status (Vitality, VT), social function (Social Functioning, SF). The first four dimensions are the level of physical health (Physical Component Summary, PCS), belonging to the Mental Health (Mental Component Summary, MCS) level after four dimensions. Physical examination: the health status of the physical examination, including a survey height, weight and blood pressure measurements. Statistical analysis: the the application EpiData3.02 data entry using SPSS (Statistical Product andService Solutions) 16.0 and SAS (Statistical Analysis System) 8.0 statistical software for analysis, the main methods include the two-sample t-test (Independent-Samples T Test) The chi-square test (Chi-square Test), analysis of variance (Analysis of Variance), the exact probability analysis (Fisher's Exact Test) and generalized linear models (General Linear Model). The results of this study caring Hospital of Daqing City, Daqing City, the Centers for Disease Control and Daqing City tricyclic Drilling Company survey date of 40-60 years active employees (410 people) survey and physical examination, a total of 391 valid questionnaires were efficient 95.37%. The survey of 391 cases, 184 cases have been engaged or are engaged in shift work (47.06%), of which 65 cases have shift work (16.62%), 119 cases (30.43%) of the current shift. All survey subjects were divided into three groups: normal team, once down to the team and is currently down team. The majority of respondents aged 45-49 (159, 40.66%), married (365, 93.35%), the distribution of three groups of age, marital status, no statistically significant differences in which women currently down team age 50 years of age. Regular classes, used to shift down and the current team in educational level and monthly family income was significantly different, which currently down team crowd the lowest education level (junior high school and the following: 48.08%), monthly family income less (≤ 1999 yuan: 41.18%); stratified by sex, either male or female crowd, still currently down team the lowest education level, the highest proportion of low-income families. Normal classes, used to shift down and the current team life behavior differences are significant, which currently down team in smokers (76, 63.87%) and drinkers (68, 57.14%) and the highest proportion, especially in men down team in the (smoking: 87.95%, Drinking: 75.90%). Was no significant difference between the three groups of tea and physical exercise. BMI distribution of the three groups of men and women there was no significant difference. Generally high in all the survey, the proportion of patients with hypertension (235, 60.10%), normal classes, used to shift down team in patients with hypertension and current ratio of 65.22%, 50.77%, and 56.30%, respectively. Normal classes, used to shift down the sleep quality of the team and is currently a significant difference (P = 0.002), which currently down team self-evaluation the highest proportion of poor sleep quality (23, 19.33%), stratified by sex, whether it is male or female population, the proportion of poor sleep quality shifts crowd were significantly higher than the normal team. Eight dimensions of quality of life scale score of view, once down to the team in general health (37.85 ± 27.95), role - physical (76.73 ± 24.90), vitality condition (67.31 ± 22.06), social function (76.54 ± 21.60) 4 The lowest score of the dimension, especially women have poured team social function dimension (70.73 ± 22.29) lowest score; men eight dimensions of the three groups, no significant difference. From the scale of the physical health and mental health perspective, once down team down and the current team (49.02 ± 8.38) (48.18 ± 8.57) level of physical health scores were significantly lower than the normal class population (51.13 ± 7.88), especially men down regardless of the total population, male or female population, the normal classes, once down the mental health team and currently down team score there was no significant difference between teams and groups (49.15 ± 8.54) level of physical health score minimum; Adjust sociodemographic characteristics (age, education level, monthly family income), physiological index (BMI, blood pressure) and lifestyle (smoking, drinking) and other confounding factors, the level of physical health, shift work is to investigate the the object physical health level score influencing factors (P = 0.007), shift work crowd somatic health score significantly lower than the normal team, where men shift crowd was significantly lower than the normal class population (P = 0.011), especially down a team lowest score; mental health level, shifts crowd mental health scores than the normal team, especially women have inverted the level of the mental health team, the lowest score, but whether it is male or female crowd, shift there was no significant impact on the mental health score. Conclusions shift the crowd low education level, family income is less, and rarely participate in physical exercise, smoking and drinking and other bad lifestyle behaviors are more common. Meanwhile, the shift populations with poor quality of sleep, poor quality of life; and the health effects of shift work on the body of the crowd larger. Therefore, in order to explore a reasonable shift system, encourage shifts crowd to adopt a healthy lifestyle, and actively adjust psychological state, an appropriate increase in the shift the crowd of treatment (such as wages), and to reduce the shift of the adverse effects on the health of workers.
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