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Proportionate Mortality for Cancer 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 103 105 98 100 103 103 108 102 115 95 105 103
All Cancer
Oral Cavity Pharynx 69 64 66 69 61 65 59 79 98 64 80 98
Esophagus 66 68 59 55 59 59 38 64 82 55 120 112
Stomach 92 93 93 91 102 90 103 80 91 109 68 41
Intestine and Rectum 104 98 98 101 106 100 111 96 119 77 105 106
Liver and Intra-Hepatic Bile Ducts 85 96 81 78 78 82 93 86 118 88 99 142
Pancreas 116 126 110 104 114 104 103 108 110 86 94 101
Nasal Cavities 94 134 105 49 36 75 46 62 0 0 64 160
Larynx 53 43 51 61 58 65 86 55 56 59 53 150
Retro-Peritoneum, Peritoneum Pleura 153 182 153 112 154 133 120 173 139 101 39 98
Mesothelioma 59 45 47 47 54 40 57 36 155 38 96 0
Malignant Melanoma 102 121 84 74 77 77 85 76 161 54 121 101
Breast 198 186 199 189 207 211 269 195 142 119 108 104
Prostate 49 74 28 22 20 32 10 48 132 94 99 86
Testis 48 68 48 28 28 48 0 114 0 144 161 0
Bladder 74 78 68 68 72 77 68 79 79 100 96 98
Kidney 87 96 80 80 79 86 91 83 161 97 116 99
Brain and Nervous System 118 124 104 89 95 97 93 100 143 94 93 110
Thyroid 121 121 134 89 93 132 132 139 0 84 63 107
Non Hodgkin's Lymphoma 107 110 100 86 89 98 88 97 135 130 91 76
Multiple Myeloma 110 112 101 97 110 103 102 114 83 105 120 154
Leukemia 103 112 95 87 91 96 111 93 115 94 91 101
All Non-Chronic Lymphoid Leukemia 105 116 96 93 95 102 116 101 112 79 100 105
Chronic Lymphoid Leukemia 96 102 90 69 78 74 93 66 123 145 65 85

(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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