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Proportionate Mortality for Cardiovascular, Neurodegenerative, & Renal Diseases by Industry for Health Care & Social Assistance Sector

PMR Summary Table

Data from 1999, 2003-2004, 2007-2010

  Industry
HEALTH CARE AND SOCIAL ASSISTANCE SECTOR Ambulatory Care Hospital Nursing Residential Care Facilities Home health care services All Social Services Child day care services Individual and Family Services(home care for elderly) Veterinary services Other personal services (Petcare, except veterinary services) Miscellaneous retail (Pet/pet supply stores) Museums, historical sites, and similar (Zoos, nature parks)
Cause of Death 105 100 112 117 111 116 128 110 75 98 83 100
Diabetes
All Circulatory disease 98 95 99 101 98 100 102 98 91 96 98 101
Hypertensive disease 104 112 115 111 103 114 126 110 78 104 88 117
Ischemic Heart disease 89 84 89 91 91 88 80 88 91 95 101 100
Acute Myocardial Infarction 90 81 89 92 92 86 82 81 100 93 103 110
Other Ischemic Heart disease 88 84 88 91 90 88 79 89 88 93 102 99
Other Heart disease 99 97 100 101 98 104 106 101 93 93 95 102
Cerebrovascular disease 108 100 107 113 111 110 125 101 90 99 105 86
Neurodegenerative disease 115 124 110 103 103 111 109 114 105 89 104 89
Dementia and Alzheimer's disease 117 116 116 114 113 119 126 116 115 94 102 77
Arteriosclerotic Dementia 118 142 124 119 118 142 182 115 108 120 102 79
Amyotrophic Lateral Sclerosis (ALS) 119 152 114 92 106 77 90 80 157 98 153 68
Parkinson's disease 102 122 84 81 77 90 66 103 90 84 107 121
Multiple Sclerosis 144 165 152 103 103 137 69 173 22 39 68 99
Renal disease 99 96 103 106 101 109 122 103 87 107 94 103
Acute Renal Failure 97 102 105 102 90 103 118 92 80 109 91 95
Chronic Renal Failure 100 92 102 108 107 111 123 106 89 106 97 106

(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 (2015). 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 (2015). 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 2010 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 five, 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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