ObjectiveTo examine the prevalence of metabolic syndrome (MS) and its risk factors among employed floating population aged 18-59 years in Guangdong Province so as to provide the evidence for taking preventive measures. MethodsUsing a stratified multistage cluster sampling method, employed floating population aged 18-59 years were selected in Guangdong Province in 2012. Information about basic information, smoke, drink, diet, physical activity, height, weight, waist circumference, blood pressure, blood glucose, blood lipid and health condition was collected through face to face questionnaire survey. Physical examinations were conducted and blood samples, collected. MS was defined by diagnostic criteria of the International Diabetes Federation (IDF 2005). Factors influencing MS were analyzed by liner mixed model of R software.ResultsA total of 1 753 employed floating population aged 18-59 were selected. Of them, 932 (53.17%) were males and 821 (46.83%), females; 893（50.9%）were from urban areas and 860（49.1%）, from rural ones. The prevalence rate of MS was 11.2%.The prevalence rate of MC in females (13.0%) was higher than that in males (9.7%); that in urban areas (13.4%) was higher than that in rural areas (9.0%)（P<0.05 or P<0.01）.The prevalence of MS was increased with age（P<0.01）. The liner mixed model showed that compared with no smokers, ex-smokers and smokers smoking 1-9, 10-19, or ≥20 cigarettes per day had higher risk of MS (ORs:2.5［1.5-4.3］, 3.0［(1.9-4.8)］, 1.9［1.1-3.2］ and 1.8［1.1-2.9］); compared with non-drinkers, drinkers with<1 time, 1-2 times, >2 times per week had higher risk of MS (ORs: 4.4［3.3-6.0］, 3.0［1.9-4.9］ and 3.1［2.0-4.9］); compared with working hours ≤8 h, working hours for 9-10 h and >10 h per day had higher risk of MS (ORs:8.7［3.2-23.7］, 4.5［1.6-12.3］); compared with no moderate physical activities, respondents with moderate physical activities had less risk of MS (OR: 0.7［0.5-0.9］); compared with sleeping time <7 h, those with sleeping time ≥8 h had less risk of MS (OR:0.6［0.4-0.9］); compared with higher life or work stress, respondents with normal life or work stress had less risk of MS (ORs:0.7(0.6-1.0),0.7［0.5-0.9］), while less/no life stress and work stress had higher risk of MS (ORs: 1.9［1.4-2.6］, 1.9［1.3-2.6］).ConclusionThe MS prevalence rate of employed floating population in Guangdong Province was severe. Cigarette, drinking, labor intensity, absent physical activity, less sleeping time, and stress may be the risk factors associated with MS.

ObjectiveTo explore main risk factors related to injuries occurred in the employed floating population in Guangdong Province so as to provide scientific basis for the prevention of the injuries in the population.MethodsSix national and six provincial survey points were selected from the whole province by applying multi-stage stratified cluster sampling method. A questionnaire survey was conducted among the employed floating population aged 18 years and over, and engaged in manufacturing, wholesale and retail, accommodation and catering services, social services, construction, and other industries. The survey content included the general information, injury occurrence, and factors of working environment and behaviors. Univariate and multivariate unconditional logistic regressions were used to analyze the related factors possibly affecting the injuries.ResultsOf 4 035 participants, 262 experienced one or more injuries, with an injury rate of 6.5% and a standardized rate of 6.7%. The injury rate of males (7.7%) was higher than that of females (5.1%) (OR=1.610, P<0.01); the injury rate of the unmarried (9.3%), higher than that of the married (5.3%) (OR=1.537, P<0.01); the injury rate of the persons without medical insurance in their employment areas (6.8%), higher than that of those with medical insurance (1.0%) (OR=6.540, P<0.01); the injury rate of individuals with great life stress (9.1%), much higher than that with general or small life stress (5.4%) (OR=1.379, P<0.05); the injury rate of persons with moderate physical activity (9.5%), higher than that of those without physical activities (5.2%) (OR=1.601, P<0.01); the injury rate of the persons with poor health status (17.1%), much higher than that with good health (6.2%) (OR=2.460, P<0.01); the injury rate of those who thought that injuries could not be prevented (12.4%), higher than those who considered that injuries could be prevented (6.0%) (OR=2.140, P<0.01); the injury rate of whose who violated the traffic rules when walking (9.5%), higher than those who obeyed the traffic rules (5.3%) (OR=1.578, P<0.05); the injury rate of persons with fatigue due to long working hours (8.6%), higher than those without work fatigue (5.5%) (OR=1.404, P<0.05). The injury rates in Shenzhen (OR=15.013, P<0.01), Yunfu (OR=9.580, P<0.01), Shaoguan (OR=7.920, P<0.01), and Shanwei (OR=6.224, P<0.05) were much higher than those in Zhaoqing and other regions of Guangdong Province.ConclusionInjuries commonly occurred in different administrative regions of Guangdong Province, and the risk factors included sex, marriage, health status, medical insurance, life stress, the intensity of physical activity, violating traffic rules, and fatigue due to long working hours.

ObjectiveTo analyze medical burden of injury among employed floating population in Guangdong Province in 2012.MethodsMultistage stratified cluster sampling method was used to select 12 special survey points of floating population in Guangdong Province in 2012. A questionnaire survey was conducted among the floating population aged l8-59 years and engaged in manufacturing industry, wholesale retail trade, accommodation and catering industry, social service, construction, and other industries. The investigation content included causes of injury, outpatient visits and hospitalization, medical expenditure, length of hospital stay, and recuperation time. ResultsOf 4 035 participants, 262 suffered from injuries for once and above, with an injury rate of 6.5% and standardized rate of 6.7%. A total of 314 injury events occurred, with an injury event rate of 7.78% and standardized injury event rate of 8.16%. About 32.7%（86/263）of the subjects with injury received medical treatment, of which 27.4％(72/263) attended outpatient visits and 5.3%(14/263) were hospitalized. The difference in the rates of receiving medical treatment with different causes of injuries was statistically significant (P<0.01). The average medical expenditure was 745 Yuan for outpatient visits and 13 258 Yuan for hospitalization. Median medical expenditure due to different injury causes ranking from highest to lowest was road traffic injury (4 000 Yuan), other injury causes (1 000 Yuan), blunt injury (550 Yuan), burns (385 Yuan), falls (300 Yuan), and knife/sharp injury (300 Yuan) in turn. ConclusionThe medical burden of injury among floating population in Guangdong Province was huge. The prevention and control of injury should be strengthened.

ObjectiveTo identify risk factors of overweight and obesity among employed floating population aged 18-59 years in Guangdong Province and determine intervention measures．MethodsUsing special survey data of China chronic disease and risk factor surveillance for migrant population conducted in 2012, information on cigarette smoking, alcohol consumption, diet, physical activity and health condition among migrant population was collected through face-to-face questionnaire interview and physical examination was performed on the participants. The data were analyzed by univariate and multivariate unconditional logistic regression．ResultsA total of 1 639 floating population , including 889 men (54.2%) and 750 women (45.8%) were surveyed. Of the participants, 62.5% (1 025 / 1 639) had junior high school education level or below, 33.0% were aged 30 to 39 years, and 78.4% were married or cohabited. The prevalence rates of overweight and obesity were 25.4% and 5.9%, and the standardized rates, 23.1% and 5.3%, respectively. In the multiple logistic regression model, the male (OR=1.772）and the married / cohabitated (OR=1.505）were more likely to become overweight and obesity. The possibility of overweight and obesity for other three age groups were 1.565, 2.290 and 2.616 times of that for 18- 29 years age group, and for those whose most of working time was sitting or standing was 2.852 times of that for the heavy manual workers. Respondents with static time for 5 hours or more per day were 1.361 times more likely to be overweight or obese than those with static time for less than 5 hours per day. ConclusionMen, the married / cohabitated, sitting or standing for a long time, and lack of exercise were important risk factors of overweight and obesity for employed floating population aged 18-59 years in Guangdong Province. Health education and physical activity should be enhanced for prevention and control of overweight and obesity.

ObjectiveTo evaluate the level of dietary intake and its influencing factors among employed migrant population aged 18-59 years in Guangdong Province. MethodsUsing special survey data of China Chronic Disease and Risk Factor Surveillance for migrant population conducted in 2012, employed floating population aged 18-59 years were selected from 6 counties/districts. Face-to-face questionnaire survey was conducted to collect their demographic characteristics (gender, age, level of education, occupation, income) and information of dietary intakes (red meat, fruits and vegetables, and work style). The intakes of red meat, vegetables and fruits were described. The influencing factors were determined by univariate and multivariate logistic regressions. ResultsA total of 1 800 questionnaires were distributed and 1 611 valid ones were recovered. Of the 1 611 respondents, 53.1% were men and 46.9% were women; 48.4% had junior high school education, 43.6% had monthly income of >3 000 Yuan. The average age was (35.34±9.70) years. The compositions of population according to the six occupational types were consistent. The mean daily intake of red meat was (186.08 ± 128.88) g, with an exceeding red meat standard rate of 82.30%; the mean daily intake of fruits and vegetables was (437.66±233.93) g, with a fruit and vegetable deficiency rate of 47.40%. Multivariate logistic regression showed that the subjects who were female (OR=0.68), low body weight (OR=0.57) and obesity (OR=0.47) were less likely to exceed the standard of red meat. Those who had average monthly income of 2 000 - 3 000 Yuan, or >3 000 Yuan (OR= 1.79, 2.20), heavy physical labor (OR= 4.40), occupations of wholesale and retail trade, accommodation and catering industry, and construction industry (OR= 2.00, 2.46, 1.72) were more likely to exceed the red meat standard. Compared with manufacturing, accommodation (OR=1.82), catering and construction (OR=1.63) were more likely to have inadequate intake of vegetables and fruits.ConclusionThe red meat excessive rate and the fruit and vegetable deficiency rate were high among employed migrant population in Guangdong Province. Factors such as gender, income, work style, and type of occupations had effects on the excessive intake of red meat and inadequate intake of fruit and vegetable.

ObjectiveTo investigate the sleep status and associated factors among employed floating population aged 18-59 years in Guangdong Province.MethodsStratified multi-stage cluster sampling method was used to select employed floating population aged 18-59 years in Guangdong Province in 2012. Face-to-face questionnaire survey was conducted to collect demographic characteristics (such as age, gender, occupation, level of education), sociological features (such as smoking, drinking, work style, stress, life satisfaction), and sleep status of the participants. Factors influencing the sleep status were identified using univariate and multivariate logistic regression analyses.ResultsA total of 4 131 valid samples were recovered, including 2 275 males (55.1%) and 1 856 females (44.9%). Most participants were aged 18 to 29 years, accounting for 39.3% (1 624/4 131) of the total. The average sleep time of the participants was (7.7±1.1) hours and 16.4% of them had sleep deficiency. Multivariate logistic regression analysis showed that the age (OR=1.446), smoking (OR=1.472), living or working stress (OR=1.323) were risk factors for sleep insufficiency, while good health status (OR=0.696) and social satisfaction (OR=0.758) were protective factors for the employed floating population in Guangdong Province in 2012.ConclusionThe sleep time of the employed floating population aged 18-59 years in Guangdong Province in 2012 was less. Age, smoking, living or working stress, health status and social satisfaction were influencing factors for sleep deficiency.

ObjectiveTo understand the prevalence of cigarette smoking among employed floating population aged 18-59 years in Guangdong Province so as to provide evidence for developing prevention and control measures．MethodsUsing special survey data of China chronic disease and risk factor surveillance for migrant population (2012), 12 survey points were selected by stage stratified equal-sized cluster sampling method based on six occupational groups．Demographic information including gender, age, education level, and occupation, and cigarette smoking status and factors influencing smoking behavior of the employed floating population were collected by face-to-face interviews．Logistic regression analysis was used to determine the factors influencing smoking behavior. ResultsA total of 4 116 valid subjects were collected, including 2 271 males and 1 845 females. The prevalence rates of current smoking and daily cigarette smoking were 27.73% and 24.85%, respectively. The risk of smoking for men was 81.294 times that for women. The possibility of smoking in group aged 50 to 59 years was 1.639 times that in group aged 18 to 29 years; the probability of smoking for divorcees was 13.128 times that for unmarried persons; the probabilities of smoking for those who drank 30 days before and within 30 days were 2.858 and 1.410 times that for those who never drank within a year, respectively；the probabilities of smoking for those who were occasionally, sometimes, and often difficult to fall asleep were 2.135, 1.827, and 2.133 times that for those who were never difficult to fall asleep. The probability of smoking for those whose levels of education were junior and senior high schools, college and above was lower than that for those whose levels of education were primary school and below (OR=0.427, 0.491). ConclusionMale smokers were more than female ones among the employed floating population aged 18~59 years in Guangdong Province. Females and higher levels of education were protective factors for smoking, but age, divorce or separation, drinking habits, and sleep disorder were risk factors.

ObjectiveTo understand drinking behaviors and patterns among employed floating population in Guangdong Province.MethodsFloating population were selected through multistage clustering sampling method, stratified by 6 major industries in 12 counties and districts from Guangdong Province in 2012. The drinking status of the migrant population 12 months before the census was analyzed, including drinking frequency and amount of all types of alcoholic beverages.ResultsA total of 4 276 floating population were included in the study, including 2 372 males and 1 904 females. Most participants were aged 18 - 29 years, accounting for 39.1% (1 673/4 276) of the total. A majority of participants had education level at junior middle school (41.1%; 1 757/4 276).　The overall prevalence rate of drinking was 48.7% in the last 12 months. Logistic regression analysis showed that women were less likely to drink alcohol than men（OR=0.18）；participants aged 30-39 years (OR=0.67) and 40-49 years (OR=0.75）were less likely to drink alcohol than those aged 18-29 years; participants with the education level at junior high school (OR=1.16) and high school / technical secondary school (OR=1.78）were more likely to drink alcohol than those with primary school. The daily alcohol intakes were 5.9 g for male drinkers and 1.4 g for females. Prevalence rates of excessive drinking, dangerous drinking, and harmful drinking among male drinkers were 6.1%, 1.7%, and 1.7% for male drinkers, but 3.3%, 0.96%, and 1.5% for the females, respectively. Overall, 40.7% (637/1 562) of male drinkers and 10.2% (53/520) of the female drinkers experienced binge drinking behavior. Of male drinkers, differences in prevalence rates of excessive drinking behavior and binge drinking behavior were statistically significant between different levels of education (P< 0.05 or < 0.01); differences in the prevalence rates of excessive alcohol consumption were not statistically significant between different age groups or occupation groups (all P> 0.05).ConclusionDrinking behavior was prevalent among floating population in Guangdong Province. Difference in drinking behavior was significant between genders. Different levels of education had obvious difference in excessive drinking and binge drinking behaviors.

ObjectiveTo analyze the changing rule of the outpatient amount of hospitals from the regional health information platform (RHIP) of Guangdong Province, examine the correlation of the changing rule and time trend of outpatient amount between RHIP and the influenza like illness surveillance system (ILISS), and explore the feasibility of replacing the data from ILISS with data from RHIP.MethodsOutpatient clinical data were collected from 8 hospitals with high data quality in cities G and F during 2012 - 2014 through RHIP of Guangdong Province. Meanwhile outpatient clinical data were collected from 9 sentinel hospitals of influenza surveillance in the same cities and periods through ILISS of China Influenza Surveillance Information System. A correlation analysis between the two sets of data was conducted and seasonal index changes of outpatient visits in one year were analyzed by the time series analysis method.ResultsPercentages of monthly amount of outpatient visits in yearly amount of outpatient visits were similar between the two sets of data. The correlation analysis showed that the Pearson correlation coefficients were 0.646 for City G and 0.624 for City F (Both P<0.01). For City G, the analysis of seasonal index of outpatient amount showed that the seasonal indices were over 100.00% in March to August, and December for data of RHIP, and in March - July, September, and December for data of CNISIS for ILI, and the peak periods of outpatient visits appeared in March - July, and December for both systems. For City F, the seasonal indices were over 100.00% in March - August, and December for data of RHIP, and in March - June for ILISS, and the peak periods of outpatient amount appeared from March to June for both systems. The line chart showed that the seasonal index from RHIP had high similarity with that from ILISS.ConclusionThe monthly distribution of the outpatient amount from RHIP was basically consistent with that from the ILISS. Therefore, it may be feasible to use the outpatient data from RHIP to replace the data from ILISS.