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Proportionate Mortality for Cancer by Industry for Health Care & Social Assistance Sector

PMR Summary Table

  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 102 107 95 98 102 100 108 98 115 92 103 104
All Cancer
Oral Cavity Pharynx 71 73 68 69 57 65 93 70 103 60 60 38
Esophagus 68 82 64 54 61 52 32 52 43 38 106 71
Stomach 91 98 93 94 103 86 110 71 130 111 61 0
Intestine and Rectum 105 96 98 102 109 101 119 92 138 80 104 174
Liver and Intra-Hepatic Bile Ducts 87 101 82 80 81 81 99 71 136 76 89 170
Pancreas 117 145 104 103 113 107 123 102 103 96 93 90
Nasal Cavities 107 308 81 61 61 105 0 73 0 0 0 0
Larynx 52 49 54 44 50 68 142 48 0 37 36 274
Retro-Peritoneum, Peritoneum Pleura 172 201 174 150 208 97 189 50 0 111 72 410
Mesothelioma 65 65 47 42 39 64 127 48 115 72 85 0
Malignant Melanoma 104 118 79 70 76 83 81 93 64 58 133 151
Breast 219 189 221 212 233 215 273 207 165 120 108 117
Prostate 46 86 26 19 20 26 5 37 131 84 86 65
Testis 38 103 37 13 23 104 0 257 0 140 255 0
Bladder 71 72 66 68 70 62 54 49 41 71 82 109
Kidney 88 95 76 80 78 83 90 75 196 98 128 72
Brain and Nervous System 127 154 100 94 97 108 98 110 139 98 102 83
Thyroid 117 115 145 81 81 120 157 107 0 60 76 0
Non Hodgkin's Lymphoma 108 120 93 88 89 115 103 111 142 149 95 43
Multiple Myeloma 114 129 100 99 109 109 112 116 28 127 113 179
Leukemia 104 119 91 89 95 94 130 86 83 108 100 62
All Non-Chronic Lymphoid Leukemia 108 123 93 95 102 100 128 97 55 102 105 42
Chronic Lymphoid Leukemia 92 109 85 68 74 75 136 49 173 129 84 122

(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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