| Objective Changes in daily mortality and causes of death are important indicators thatreflect the health status of people. They provide scientific evidence for development ofhealth policies, evaluation of quality and effectiveness of health work. They are also animportant part of the natural population change laws. Therefore, many other countries inthe world attach great importance to their death statistics and its analysis work. Thestudy uses of the death of one city surveillance data from2009to2010, to analyze thechanges of life expectancy in different occupational groups in2009and the major causeof death spectrum and potential life lost. This helps to provide the basis for identifyinghigh-risk occupational groups, disease control priorities and strategy.Methods Population data and death information came from the local public securitydepartment of the monitoring zone and disease surveillance point, respectively. For thedata of2009, we try to consider an "occupation" as a "death cause", and analyze thechanges of life expectancy after removal of a particular occupation. For the data of2010,we calculate the indicators of crude mortality, standardized mortality rate, years ofpotential life lost (YPLL), standardized years of potential life lost (SYPLL), years ofpotential life lost rate (YPLLR), and standardized years of potential life lost rate(SYPLLR). Statistical analyses were performed using SPSS18.0and Excel2003software.Results Study1: The major diseases which affect the health of different occupational populations contribute to circulatory system diseases, malignant tumors, respiratorysystem diseases, injuries, endocrine and nutritional and metabolic diseases, digestivesystem diseases. The farming production staff has the greatest impact on life expectancy,followed by other agriculture, forestry, animal husbandry, fishery and waterconservancy industry production staff, administrative office staff teaching staff andmachinery manufacturing and processing staff. When removing the staff in turn, thecorresponding life expectancy increases16.45,8.57,3.79,3.48and3.25years,respectively.Study2: The crude mortality rate of the city’s population is416.57per10million in2010, and the standardized mortality rate is430.75per million. The top ten causes ofdeath were circulatory system diseases, malignant tumors, respiratory system diseases,injuries, endocrine and nutritional and metabolic diseases, digestive system diseases,infectious and parasitic diseases, genitourinary system diseases, neonatal diseases andnervous system diseases. Non-communicable chronic diseases (NCDs) account for themajority. Leading causes of death are different in different ages. Neonatal diseases arethe main cause of death of infants aged from0to1. For1~14and15~45years old group,the first cause of death is injury. Malignant tumors are the leading cause of death of the45~60age group, and circulatory system diseases are the main cause of death of theolds aged over60years old. The indicators of disease burden in the city in2010areYPLL of144616person-years,144457.87of SYPLL,29.32‰of YPLLR,29.29‰ofSYPLLR. The YPLL pick of the leading causes of death is injury, malignant tumor,circulatory system diseases, respiratory system diseases, endocrine and nutritional andmetabolic diseases.Conclusions Different occupational groups have different impacts on life expectancy.For factors that affect life expectancy of the special occupational groups, we should takeappropriate preventive measures and strength vocational education to better promote the health of the special occupational groups. NCDs and injuries have been becoming themain diseases and main death causes in the city. YPLLs of these were very big. Injuriescan be prevented, and so public awareness of health should be enhanced to reduce theincidence of injuries. NCDs are a series of diseases which mostly due to life patterns, sointergrative prevent and control should be taken, and the community intervention is thebest methods. |
PDF Full Text Request