The prevalence of unhealthy lifestyle among occupational population aged 18‒59 in Shanghai in 2013 / 上海预防医学
Shanghai Journal of Preventive Medicine
; (12): 486-491, 2021.
Article
in Zh
| WPRIM
| ID: wpr-881492
Responsible library:
WPRO
ABSTRACT
Objective:To understand the prevalence of unhealthy lifestyle among Shanghai occupational population aged 18-59 in 2013 and provide suggestion for intervention. Methods:Data retrieved from 2013 Shanghai Non-communicable Diseases and Risk Factors Surveillance were used to investigate the residents who were 18-59 years old and engaged in various occupations in Shanghai. Descriptive analysis and test were conducted by weight and complex sampling. Smoking, drinking, eating behavior and physical activities were compared among different gender,age,area and occupation groups. Results:A total of 10 287 participants were included in this analysis. The current smoking rate of 41.46% in males were significantly higher than 0.64% in females(χ2=2 278.306,P<0.05). The current smoking prevalence was highest in workers in production and transport (34.49%). The rate of drinking in the past 30 days, hazardous drinking, and harmful drinking in rural area were 23.80%,6.59% and 11.62%, respectively,which were the highest in all areas. Both the hazardous and harmful drinking prevalence (8.58% and 18.70%, respectively) were the highest in agriculture workers in comparison with other occupations. There is no significant difference in insufficient intake of vegetables and fruits in gender,age and area groups. The proportion of people with excessive intake of red meat was higher in males than that in females (28.11% versus 17.77%,146.176,P<0.05). Occupational population in urban area had the highest regular physical activities (22.64%). The clerks had the longest daily sedentary time (7.25 h). The agricultural workers had the lowest regular exercise rate (11.75%) and the shortest sedentary time (4.07 h). Conclusion:This study identifies different prevalence of unhealthy lifestyle in different gender, age, area, and occupational groups, which can be helpful for for targeted intervention.
Full text:
1
Database:
WPRIM
Type of study:
Prevalence_studies
/
Prognostic_studies
/
Risk_factors_studies
Language:
Zh
Journal:
Shanghai Journal of Preventive Medicine
Year:
2021
Document type:
Article