| MMWR Weekly (No. 45 ) PDF of this issue |
Suicide Rates by Major Occupational Group — 17 States, 2012 and 2015
Weekly / November 16, 2018 / 67(45);1253–1260
Cora Peterson, PhD1; Deborah M. Stone, ScD2; Suzanne M. Marsh, MPA3; Pamela K. Schumacher4; Hope M. Tiesman, PhD3; Wendy LiKamWa McIntosh, MPH2; Colby N. Lokey, MS2; Aimée-Rika T. Trudeau, MPH2; Brad Bartholow, PhD2; Feijun Luo, PhD1 (View author affiliations)
View suggested citationDuring 2000–2016, the suicide rate among the U.S. working age population (persons aged 16–64 years) increased 34%, from 12.9 per 100,000 population to 17.3 (https://www.cdc.gov/injury/wisqars). To better understand suicide among different occupational groups and inform suicide prevention efforts, CDC analyzed suicide deaths by Standard Occupational Classification (SOC) major groups for decedents aged 16–64 years from the 17 states participating in both the 2012 and 2015 National Violent Death Reporting System (NVDRS) (https://www.cdc.gov/violenceprevention/nvdrs). The occupational group with the highest male suicide rate in 2012 and 2015 was Construction and Extraction (43.6 and 53.2 per 100,000 civilian noninstitutionalized working persons, respectively), whereas the group with the highest female suicide rate was Arts, Design, Entertainment, Sports, and Media (11.7 [2012] and 15.6 [2015]). The largest suicide rate increase among males from 2012 to 2015 (47%) occurred in the Arts, Design, Entertainment, Sports, and Media occupational group (26.9 to 39.7) and among females, in the Food Preparation and Serving Related group, from 6.1 to 9.4 (54%). CDC’s technical package of strategies to prevent suicide is a resource for communities, including workplace settings (1).
NVDRS combines data on all violent deaths (defined as those resulting from the intentional use of physical force or power, threatened or actual, against oneself, another person, or a group or community), including suicide, based on death certificates, coroner/medical examiner reports, and law enforcement reports. Data on usual lifetime occupation among 22,053 suicide decedents aged 16–64 years from the 17 states* that participated in NVDRS in 2012 and 2015 were analyzed. CDC’s National Institute for Occupational Safety and Health Industry and Occupation Computerized Coding System (NIOCCS 3.0) (https://wwwn.cdc.gov/nioccs3) was used to assign 2010 U.S. Census civilian occupation and industry codes to NVDRS decedent records based on decedents’ usual lifetime occupation and industry as reported on the death certificate. Results are reported by 2010 SOC major groups, converted from U.S. Census codes by NIOCCS. Records that could not be coded by NIOCCS were manually coded using the NIOCCS computer-assisted feature. All coding assignments were reviewed by industry and occupation coding experts for accuracy.
Suicide counts are presented by year, sex, and usual lifetime occupational group. Suicide rates were calculated using annual civilian noninstitutionalized working population counts by occupational group (based on longest job held during the previous calendar year) from the Current Population Survey Annual Social and Economic Supplement (2) as the denominator; 95% confidence intervals (CIs) were calculated using the National Center for Health Statistics method for death rates (3). The rate change from 2012 to 2015 is presented for each occupational group by sex, as is each group’s rank for rate change (i.e., where rank position 1 signifies the greatest suicide rate increase). Decedents whose NVDRS data from coroner/medical examiner reports or law enforcement reports indicated that the decedent was not employed at the time of death (unemployed, disabled, incarcerated, homemaker, or student) were excluded from rate calculations, as were decedents with military or unpaid occupations, and those with insufficient information to classify occupation. Separate analyses of suicide deaths among males in agriculture-related SOC detailed groups were conducted; such rates were not calculated for female decedents because of small numbers.
NIOCCS classified 83% (8,858 in 2012 and 9,508 in 2015) of decedent records (Table 1); this count includes those that the NIOCCS program determined to have insufficient information to classify occupation. After expert review of NIOCCS automated code assignments, 231 (3%) of 2012 records and 290 (3%) of 2015 records were recoded. The remaining 1,799 (2012) and 1,888 (2015) (17% for both years) records were coded using the NIOCCS computer-assisted feature. For 2012 and 2015 combined, 5,089 (23%) decedents were not included in suicide rate calculations because they were in the military, had unpaid occupations (e.g., did not work, homemaker, or student), or had insufficient information to classify lifetime occupation. Another 2,236 (10%) were excluded because they were not employed at the time of death.
In both 2012 and 2015, the largest percentage of male suicides (19%–20% of decedents) occurred among those in the Construction and Extraction group (SOC 47) (Table 2); the largest percentage of female suicides in both years occurred among decedents with unpaid occupations (29%). The largest percentage of female suicides among classifiable occupations occurred in the Office and Administrative Support group (SOC 43) in both years (15%). In both years, the highest suicide rates among males were in the Construction and Extraction group (43.6 in 2012 and 53.2 in 2015 per 100,000 civilian noninstitutionalized working persons) (Table 3). Among females, the highest suicide rates in both years were in the Arts, Design, Entertainment, Sports, and Media group (SOC 27) (11.7 in 2012 and 15.6 in 2015). Among males, the largest suicide rate increase from 2012 to 2015 (47%) occurred in the Arts, Design, Entertainment, Sports, and Media group (from 26.9 to 39.7), and among females (54%) in the Food Preparation and Serving Related group (SOC 35) (from 6.1 to 9.4). Rate changes among females in six SOC major groups were not reported because of small numbers (≤20 decedents in one or both years).
The 2012 and 2015 male suicide rates among Farmers, Ranchers, and Other Agricultural Managers (SOC 11–9013, a subgroup of the SOC 11 Management major group) were 44.9 (CI = 34.2–57.9) and 32.2 (CI = 24.2–42.0) per 100,000, based on 59 and 54 suicides in 2012 and 2015, respectively. The 2012 and 2015 male suicide rates for Agricultural Workers (SOC 45–2000, a subgroup of the SOC 45 Farming, Fishing, and Forestry major group) were 20.4 (CI = 13.8–29.1) and 17.3 (CI = 12.1–23.9), based on 30 and 36 suicides in 2012 and 2015, respectively.
Discussion
Suicide rates varied widely across occupational groups in both 2012 and 2015, and rates among males and females increased in many occupational groups. The etiology of suicide is multifactorial, and identifying the specific role that occupational factors might play in suicide risk is complicated; both work (e.g., little job control or job insecurity) and nonwork (e.g., relationship conflict) factors are associated with psychological distress and suicide (4). The relationship between occupation and suicide might be confounded by access to lethal means on the job and socioeconomic factors such as lower income and education (5,6). Previous studies have employed a range of methodologies to study the proposed association between suicide and occupation and, at times, have arrived at different conclusions. For example, although this analysis aligns with another that found high suicide rates among construction workers in Colorado (7), a meta-analysis using an international occupational classification system found persons in other less-skilled occupations, such as laborers and cleaners, to be at higher risk (6).
A better understanding of how suicides are distributed by occupational group might help inform prevention programs and policies. Because many adults spend a substantial amount of their time at work, the workplace is an important but underutilized location for suicide prevention (8). Workplaces could potentially benefit from suicide prevention activities. Additional and tailored prevention approaches might be necessary to support workers at higher risk. Workplace suicide prevention efforts to date have focused primarily on early detection and tertiary intervention through the training of persons (i.e. gatekeepers) to identify those at risk for suicide and refer them to supporting services. However, more research on the role of the workplace in primary suicide prevention is needed, including improving working conditions and reducing stress (8).
The findings in this report are subject to at least four limitations. First, because of the nature of the data that were available, and consistent with previous research methods, this report compared decedents’ usual lifetime occupation as recorded on the death certificate with occupations of the employed population to calculate suicide rates. Additional data from coroner/medical examiner and law enforcement reports were used to exclude decedents identified as not in the labor force at time of death. Separate analyses indicated that if no such exclusion were applied, suicide rates would have been higher for all groups, although the top and bottom eight ranked occupational groups in 2015 by male suicide rate would maintain the same rank position, as would the top three and bottom four occupational groups by female suicide rate. Second, this report did not address confounding factors that might account for higher or lower rates of suicide between and within occupational groups, including education and income (9,10). Within SOC major occupational groups, employee education and income might vary widely. For example, the Management SOC major group includes farmers, ranchers, and chief executives of large companies, and the Construction and Extraction group includes both employees who might be salaried (e.g., supervisors) and those who might be paid hourly wages (e.g., roofer helpers). Future research might benefit from using more narrowly defined occupational groups and controlling for education and income to refine understanding of the relationship between occupation and suicide. Third, industry and occupation data obtained from death certificates rely on the accuracy and completeness of employment information provided by decedents’ family members. It is also possible that completeness and accuracy of that information might be associated with decedents’ job history. For example, categorization based on single lifetime industry and occupation might not accurately reflect employment for those persons with multiple lifetime occupations and those who worked across industries. Finally, this report is based on data from 17 U.S. states that participated in NVDRS in 2012 and 2015, and the data are not nationally representative.
To address the multifactorial etiology of suicide, CDC recommends a comprehensive approach to prevention (1). Strategies might include enhancing social connectedness and expanding access to relevant resources, strengthening state or local economic supports, implementing practices that encourage help-seeking and decrease stigma, and providing referrals to mental health and other services (1). Strategies can be implemented to assure support and reduce access to lethal means among persons at risk. Decision makers, including employers, can create a response plan, should a suicide affect their organization. Surviving family and friends can be supported to reduce their own suicide risk. The media can follow reporting recommendations to avoid sensationalized reporting and can refrain from providing details on suicide methods (1). Further workplace prevention resources are available at https://theactionalliance.org/, and help is available at 1-800-273-TALK.
Acknowledgments
Jeff Purdin, Matt Hirst, Susan Burton, Jenny Huddleston, Elizabeth Smith, Division of Surveillance, Hazard Evaluations, and Field Studies, National Institute for Occupational Safety and Health, CDC.
Corresponding author: Deborah M. Stone, dstone3@cdc.gov, 770-488-3942.
1Division of Analysis, Research, and Practice Integration, National Center for Injury Prevention and Control, CDC; 2Division of Violence Prevention, National Center for Injury Prevention and Control, CDC; 3Division of Safety Research, National Institute for Occupational Safety and Health, CDC; 4Division of Surveillance, Hazard Evaluations, and Field Studies, National Institute for Occupational Safety and Health, CDC.
All authors have completed and submitted the ICMJE form for disclosure of potential conflicts of interest. No potential conflicts of interest were disclosed.
* Alaska, Colorado, Georgia, Kentucky, Maryland, Massachusetts, New Jersey, New Mexico, North Carolina, Ohio, Oklahoma, Oregon, Rhode Island, South Carolina, Utah, Virginia, and Wisconsin.
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