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Proportionate Mortality for Cardiovascular, Neurodegenerative, & Renal Diseases by Industry for Services Sector

PMR Summary Table

  Industry
SERVICES SECTOR Information, Publishing TV, Radio Communic, Motion Pictures, Data Processing Professional Scientific Organizations Administrative Support Finance, Insurance Real Estate, Rental Leasing Waste Management Education, Libraries Arts, Recreation Entertainment Accommodations Restaurants Bars Repair, maintenance car wash Beauty, barbers, nail salons Laundry dry clearning Public Administration
Cause of Death 102 90 92 80 100 82 82 106 99 96 101 111 97 96 114 108
Diabetes
All Circulatory disease 97 97 97 95 103 94 96 105 96 96 105 101 102 97 102 100
Hypertensive disease 121 89 102 80 105 93 96 112 104 110 108 112 103 107 113 102
Ischemic Heart disease 93 100 96 92 100 91 92 107 86 92 89 94 109 88 97 99
Acute Myocardial Infarction 88 97 93 91 97 88 89 113 89 85 84 91 110 91 94 95
Other Ischemic Heart disease 95 101 97 93 102 91 94 107 84 94 90 94 109 87 98 101
Other Heart disease 97 96 96 95 103 94 97 106 96 98 112 103 99 97 102 103
Cerebrovascular disease 99 93 97 98 102 97 100 99 109 98 115 105 93 111 105 97
Neurodegenerative disease 117 96 107 112 102 117 105 67 128 100 76 88 88 119 83 103
Dementia and Alzheimer's disease 114 95 107 105 106 110 105 76 130 106 82 99 82 130 91 98
Arteriosclerotic Dementia 158 56 101 96 115 112 98 116 121 123 86 100 131 148 108 97
Amyotrophic Lateral Sclerosis (ALS) 114 109 103 122 101 127 123 55 134 81 57 70 88 93 44 112
Parkinson's disease 113 94 101 117 90 115 97 48 117 97 70 71 106 85 75 107
Multiple Sclerosis 140 127 137 159 119 213 109 66 179 78 52 66 58 180 59 128
Renal disease 100 97 91 87 101 89 87 122 94 100 113 104 103 95 114 102
Acute Renal Failure 109 100 99 86 102 94 86 93 97 102 110 100 104 106 105 96
Chronic Renal Failure 96 97 90 87 101 87 87 130 93 99 115 104 102 92 115 103

(Click on headings to view detailed charts for industries.)

The cells show proportionate mortality ratios (PMRs) for each cause of death by industries. The PMRs indicate whether mortality is high or low compared to the general population for the disease specified.

Suggested Citation : NIOSH (2012). National Occupational Mortality Surveillance (NOMS). U.S. Department of Health and Human Services, Public Health Service, Centers for Disease Control and Prevention, National Institute for Occupational Safety and Health, Division of Surveillance, Hazard Evaluation and Field Studies, Surveillance Branch. <Website address> Date accessed._________.

Suggested Citation : NIOSH (2012). National Occupational Mortality Surveillance (NOMS). U.S. Department of Health and Human Services, Public Health Service, Centers for Disease Control and Prevention, National Institute for Occupational Safety and Health, Division of Surveillance, Hazard Evaluation and Field Studies, Surveillance Branch. <Website address> Date accessed._________.

Source: For these charts, death certificates for decedents that died in one of the 23 U.S. states between 1999 and 2007 were the source of age (ages 18-90), race (black, white), gender, usual occupation and industry and cause of death. PMRs were calculated with all races and genders combined to evaluate the mortality patterns for 23 site-specific cancers and 17 cardiovascular, neurodegenerative, diabetes, and renal diseases for the larger industries in each of ten sectors: agriculture, forestry, fishing; mining; oil and gas; construction; manufacturing, wholesale & retail trade; transportation, warehousing & utilities; healthcare & social assistance; health care / social services; and services. If a PMR is greater than 100 in the chart, it is elevated; if less, it is said to be decreased. User may consult crosswalks for ICD10 and 2000 Census industry category codes (Chronic Disease and Industry Categories).

When the number of deaths is less than or equal to three, PMRs are displayed, but the number of deaths is indicated by a dash.

PMRs are computed when the data for the population at risk are not available and death rates cannot be computed. Thus the PMRs presented indicate whether the proportion of deaths due to a specific cause appears to be high or low for a particular industry compared to all industries. The 95% confidence intervals (95% CI) were computed based on the Poisson distribution if the observed number of deaths was 1000 or less; otherwise, test-based CIs were computed based on the Mantel and Haenszel chi square test.

More information about methods and limitations, source description and listings of states, causes of death and industry codes and the authors' contact information may be found at the main page.

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