Research in the U.K. by Trist and Bamforth (1951) suggested the reduction in autonomy that accompanied organizational changes in English coal mining operations adversely affected worker morale.Arthur Kornhauser's work in the early 1960s on the mental health of automobile workers in Michigan also contributed to the development of the field.
A 1971 study by Gardell examined the impact of work organization on mental health in Swedish pulp and paper mill workers and engineers. Research on the impact of unemployment on mental health was conducted at the University of Sheffield's Institute of Work Psychology. In 1970 Kasl and Cobb documented the impact of unemployment on blood pressure in U.S. factory workers.
Recognition as a field of study
A number of individuals are associated with the creation of the term "occupational health psychology" or "occupational health psychologist". They include Ferguson (1977), Feldman (1985), Everly (1986), and Raymond, Wood, and Patrick (1990). In 1988, in response to a dramatic increase in the number of stress-related worker compensation claims in the U.S., the National Institute for Occupational Safety and Health (NIOSH) "recognized stress-related psychological disorders as a leading occupational health risk" (p. 201). With the increased recognition of the impact of job stress on a range of problems, NIOSH found that their stress-related programs were significantly increasing in prominence. In 1990, Raymond et al. argued in the widely read American Psychologist that the time has come for doctoral-level psychologists to get interdisciplinary OHP training, integrating health psychology with public health, because creating healthy workplaces should be a goal for psychology.
Emergence as a discipline
Established in 1987, Work & Stress is the first and "longest established journal in the fast developing discipline that is occupational health psychology" (p. 1). Three years later, the American Psychological Association (APA) and NIOSH jointly organized the Work, Stress, and Health conference in Washington, DC, the first international conference devoted to OHP. The conference has since become biennial. In 1996, the first issue of the Journal of Occupational Health Psychology was published by APA. That same year, the International Commission on Occupational Health created the Work Organisation and Psychosocial Factors (ICOH-WOPS) scientific committee, which focused primarily on OHP. In 1999, the European Academy of Occupational Health Psychology (EA-OHP) was established at the first European Workshop on Occupational Health Psychology in Lund, Sweden. That workshop is considered to be the first EA-OHP conference, the first of a continuing series of biennial conferences EA-OHP organizes and devotes to OHP research and practice.
In 2000 the informal International Coordinating Group for Occupational Health Psychology (ICGOHP) was founded for the purpose of facilitating OHP-related research, education, and practice as well as coordinating international conference scheduling. Also in 2000, Work & Stress became associated with the EA-OHP. In 2005, the Society for Occupational Health Psychology (SOHP) was established in the United States. In 2008, SOHP joined with APA and NIOSH in co-sponsoring the Work, Stress, and Health conferences. In addition, EA-OHP and SOHP began to coordinate biennial conferences schedules such that the organizations' conferences would take place on alternate years, minimizing scheduling conflicts. In 2017, SOHP and Springer began to publish an OHP-related journal Occupational Health Science.
The main aims of OHP research is to understand how working conditions affect worker health, use that knowledge to design interventions to protect and improve worker health, and evaluate the effectiveness of such interventions. The research methods used in OHP are similar to those used in other branches of psychology.
Statistical methods commonly used in other areas of psychology are also used in OHP-related research. Statistical methods used include structural equation modeling and hierarchical linear modeling (HLM; also known as multilevel modeling). HLM can better adjust for similarities between employees and is especially well suited to evaluating the lagged impact of work stressors on health outcomes; in this research context HLM can help minimize censoring and is well-suited to experience-sampling studies.Meta-analyses have been used to aggregate data (modern approaches to meta-analyses rely on HLM), and draw conclusions across multiple studies. OHP researchers studying the structural validity of their most commonly used assessment instruments employ exploratory structural equation modeling bifactor analyses.
Three influential theoretical models in OHP research are the demand-control-support, effort-reward imbalance, and demand-resources models. Another model, person-environment fit model is included for historical reasons.
The most influential model in OHP research has been the original demand-control model. According to the model, the combination of low levels of work-related decision latitude (i.e., autonomy and control over the job) combined with high workloads (high levels of work demands) can be particularly harmful to workers because the combination can lead to "job strain," i.e., to poorer mental or physical health. The model suggests not only that these two job factors are related to poorer health but that high levels of decision latitude on the job will buffer or reduce the adverse health impact of high levels of demands. Research has clearly supported the idea that decision latitude and demands relate to strains, but research findings about buffering have been mixed with only some studies providing support. The demand-control model asserts that job control can come in two broad forms: skill discretion and decision authority. Skill discretion refers to the level of skill and creativity required on the job and the flexibility a worker is permitted in deciding what skills to use (e.g., opportunity to use skills, similar to job variety). Decision authority refers to workers being able to make decisions about their work (e.g., having autonomy). These two forms of job control are traditionally assessed together in a composite measure of decision latitude; there is, however, some evidence that the two types of job control may not be similarly related to health outcomes.
About a decade after Karasek first introduced the demand-control model, Johnson, Hall, and Theorell (1989), in the context of research on heart disease, extended the model to include social isolation. Johnson et al. labeled the combination of high levels of demands, low levels of control, and low levels of coworker support "iso-strain." The resulting expanded model has been labeled the demand–control–support (DCS) model. Research that followed the development of this model has suggested that one or more of the components of the DCS model (high psychological workload, low control, and lack of social support), if not the exact combination represented by iso-strain, have adverse effects of physical and mental health.
Effort-reward imbalance model
After the DCS model, the second most influential model in OHP research has been the effort-reward imbalance (ERI) model. It links job demands to the rewards employees receive for their work. That model holds that high work-related effort coupled with low control over job-related intrinsic (e.g., recognition) and extrinsic (e.g., pay) rewards triggers high levels of activation of neurohormonal pathways that, cumulatively, are thought to exert adverse effects on mental and physical health.
Job demands-resources model
An alternative model, the job demands-resources (JD-R) model, grew out of the DCS model. In the JD-R model, the category of demands (workload) remains more or less the same as in the DCS model although the JD-R model more specifically includes physical demands. Resources, however, are defined as job-relevant features that help workers achieve work-related goals, lessen job demands, or stimulate personal growth. Control and support as per the DCS model are subsumed under resources. Resources can be external (provided by the organization) or internal (part of a worker's personal make-up, for example self-confidence or quantitative skills). In addition to control and support, resources encompassed by the model can also include physical equipment, software, realistic performance feedback from supervisors, the worker's own coping strategies, etc. There has not, however, been as much research on the JD-R model as there has been on the constituents of the DC or DCS model.
Person-environment fit model
The person-environment (P-E) fit model is concerned with the extent to which a worker’s abilities and personality dovetail with the tasks his/her job requires. The closeness of the person-job match influences the individual's health. One scholar observed that "an element of [the P-E fit research program] was loosely motivated by Darwinian theory, namely, the importance of the fit between the person and his or her environment" (p. 26). For the best possible outcomes, it is important that employees' skills, attitudes, abilities, and resources complement the demands of their job. The wider the gap or misfit—and this misfit can be either subjective or objective—between the worker and his/her work environment, the greater the risk of the worker experiencing mental and physical health problems. Misfit can also lead to lower productivity and other work problems. The P–E fit model was popular in the 1970s and the early 1980s. Since the late 1980s interest in the model has diminished largely because of problems representing P–E discrepancies mathematically and in statistical models linking P-E fit to strain.
Research on psychosocial risk factors for poor health outcomes
Research has identified health-behavioral and biological factors that are related to increased risk for cardiovascular disease (CVD). These risk factors include smoking, obesity, low density lipoprotein (the "bad" cholesterol), lack of exercise, and blood pressure. Psychosocial working conditions are also risk factors for CVD. In a case-control study involving two large U.S. data sets, Murphy (1991) found that hazardous work situations, jobs that required vigilance and responsibility for others, and work that required attention to devices were related to increased risk for cardiovascular disability. These included jobs in transportation (e.g., air traffic controllers, airline pilots, bus drivers, locomotive engineers, truck drivers), preschool teachers, and craftsmen. Among 30 studies involving men and women, most have found an association between workplace stressors and CVD.
Fredikson, Sundin, and Frankenhaeuser (1985) found that reactions to psychological stressors include increased activity in the brain axes that play an important role in the regulation of blood pressure, particularly ambulatory blood pressure. A meta-analysis and systematic review involving 29 samples linked jobs that combine high workload and little autonomy/discretion/decision latitude (high-strain jobs) to elevated ambulatory blood pressure. Belkić et al. (2000) found that many of the 30 studies covered in their review revealed that decision latitude and psychological workload exerted independent effects on CVD; two studies found synergistic effects, consistent with the strictest version of the demand-control model. A review of 17 longitudinal studies having reasonably high internal validity found that 8 showed a significant relation between the combination of low levels of decision latitude and high workload and CVD and 3 more showed a nonsignificant relation. The findings, however, were clearer for men than for women, on whom data were more sparse. Fishta and Backé's review-of-reviews also links work-related psychosocial stress to elevated risk of CVD in men. In a massive (n > 197,000) longitudinal study that combined data from 13 independent studies, Kivimäki et al. (2012) found that, controlling for other risk factors, having a high-strain job at baseline increased the risk of CVD in initially healthy workers by between 20 and 30% over a follow-up period that averaged 7.5 years. In this study the effects were similar for men and women. Meta-analytic research also links high-strain jobs to stroke.
There is evidence that, consistent with the ERI model, high work-related effort coupled with low control over job-related rewards adversely affects cardiovascular health. At least five studies of men have linked effort-reward imbalance with CVD. Another large study links ERI to the incidence of coronary disease.
There is evidence from a prospective study that job-related burnout, controlling for traditional risk factors, such as smoking and hypertension, increases the risk of coronary heart disease over the course of the next three and a half years in workers who were initially disease-free.
Musculoskeletal disorders (MSDs) involve injury and pain to the joints and muscles. Approximately 2.5 million workers in the US suffer from MSDs, which is the third most common cause of disability and early retirement for American workers. In Europe MSDs are the most often reported workplace health problem. The development of musculoskelelatal problems cannot be solely explained in the basis of biomechanical factors (e.g., repetitive motion) although such factors are major contributors to MSD risk. Evidence has accumulated to show that psychosocial workplace factors (e.g., high-strain jobs) also contribute to the development of musculoskeletal problems. Systematic reviews and meta-analyses of high-quality longitudinal studies have indicated that psychosocial working conditions (e.g., supportive coworkers, monotonous work) are related to the development of MSDs.
Workplace incivility has been defined as "low-intensity deviant behavior with ambiguous intent to harm the target....Uncivil behaviors are characteristically rude and discourteous, displaying a lack of regard for others" (p. 457). Incivility is distinct from violence. Examples of workplace incivility include insulting comments, denigration of the target's work, spreading false rumors, social isolation, etc. A summary of research conducted in Europe suggests that workplace incivility is common there. In research on more than 1000 U.S. civil service workers, more than 70% of the sample experienced workplace incivility in the past five years. Compared to men, women were more exposed to incivility; incivility was associated with psychological distress and reduced job satisfaction.
Although definitions of workplace bullying vary, it involves a repeated pattern of harmful behaviors directed towards an individual by one or more others who, singly or collectively, have more power than the target. Workplace bullying is sometimes termed mobbing.
Sexual harassment is behavior that denigrates or mistreats an individual due to his or her gender, creates an offensive workplace, and interferes with an individual being able to perform his or her job.
Workplace violence is a significant health hazard for employees, both physically and psychologically.
Most workplace assaults are nonfatal, with an annual physical assault rate of 6% in the U.S. Assaultive behavior in the workplace often produces injury, psychological distress, and economic loss. One study of California workers found a rate of 72.9 non-fatal, officially documented assaults per 100,000 workers per year, with workers in the education, retail, and health care sectors subject to excess risk. A Minnesota workers' compensation study found that women workers had a twofold higher risk of being injured in an assault than men, and health and social service workers, transit workers, and members of the education sector were at high risk for injury compared to workers in other economic sectors. A West Virginia workers' compensation study found that workers in the health care sector and, to a lesser extent, the education sector were at elevated risk for assault-related injury. Another workers' compensation study found that excessively high rates of assault-related injury in schools, healthcare, and, to a lesser extent, banking. In addition to the physical injury that results from being a victim of workplace violence, individuals who witness such violence without being directly victimized are at increased risk for experiencing adverse psychological effects, including high levels of distress and arousal, as found in a study of Los Angeles teachers.
In 1996 there were 927 work-associated homicides in the United States, in a labor force that numbered approximately 132,616,000. The rate works out to be about 7 homicides per million workers for the one year. Men are more likely to be victims of workplace homicide than women.
Workplace factors have been found to be related to increased alcohol consumption as well as alcohol use disorder and dependence of employees. Rates of excessive alcohol use can vary by occupation, with high rates in the construction and transportation industries as well as among waiters and waitresses. Within the transportation sector, heavy truck drivers and material movers were shown to be at especially high risk. A prospective study of ECA subjects who were followed one year after the initial interviews provided data on newly incident cases of alcohol use disorder. The study found that workers in jobs that combined low control with high physical demands were at increased risk of developing alcohol problems although the findings were confined to men.
Using data from the ECA study, Eaton, Anthony, Mandel, and Garrison (1990) found that members of three occupational groups, lawyers, secretaries, and special education teachers (but not other types of teachers) showed elevated rates of DSM-III major depression, adjusting for social demographic factors. The ECA study involved representative samples of American adults from five geographical areas, providing relatively unbiased estimates of the risk of mental disorder by occupation; however, because the data were cross-sectional, no conclusions bearing on cause-and-effect relations are warranted. Evidence from a Canadian prospective study indicated that individuals in the highest quartile of occupational stress (high-strain jobs as per the demand-control model) are at increased risk of experiencing an episode of major depression. A literature review and meta-analysis links high demands, low control, and low support to clinical depression. A meta-analysis that pooled the results of 11 well-designed longitudinal studies indicated that a number of facets of the psychosocial work environment (e.g., low decision latitude, high psychological workload, lack of social support at work, effort-reward imbalance, and job insecurity) increase the risk of common mental disorders such as depression.
Depending on the diagnosis, severity and individual, and the job itself, personality disorders can be associated with difficulty coping with work or the workplace, potentially leading to problems with others by interfering with interpersonal relationships. Indirect effects also play a role; for example, impaired educational progress or complications outside of work, such as substance use disorders and co-morbid mental disorders, can plague sufferers. However, personality disorders can also bring about above-average work abilities by increasing competitive drive or causing the sufferer to exploit his or her co-workers.
In a case-control study, Link, Dohrenwend, and Skodol (1986) compared schizophrenic patients to two comparison groups, depressed individuals and well controls. Prior to their first episode of the disorder, the schizophrenic patients were more likely than the well controls and the depressed subjects to have had jobs characterized by "noisesome" work characteristics; noisesome work characteristics refer to noise, humidity, heat, cold, etc. The jobs tended to be of higher status than other blue collar jobs, suggesting that downward drift in already-affected individuals does not account for the finding. One explanation involving a diathesis-stress model suggests that the job-related stressors helped precipitate the first episode in already-vulnerable individuals. There is some supporting evidence from the Epidemiologic Catchment Area (ECA) study.
Longitudinal studies have suggested adverse working conditions can contribute to increases in psychological distress. Psychological distress refers to negative affect, regardless of whether the individuals meet criteria for a psychiatric disorder. Psychological distress is often expressed in affective (depressive), psychophysical or psychosomatic (e.g., headaches, stomachaches, etc.), and anxiety symptoms. The relation of adverse working conditions to psychological distress is thus an important avenue of research. A literature review and meta-analysis of high-quality longitudinal studies link high demands, low control, and low support to distress symptoms.
Parkes (1982) studied the relation of working conditions to psychological distress in British student nurses. She found that in her "natural experiment," student nurses experienced higher levels of distress and lower levels of job satisfaction in medical wards than in surgical wards; compared to surgical wards, medical wards make greater affective demands on the nurses. In another study, Frese (1985) concluded that objective working conditions (e.g., noise, ambiguities, conflicts) give rise to subjective stress and psychosomatic symptoms in blue collar German workers. In addition to the above studies, a number of other well-controlled longitudinal studies have implicated work stressors in the development of psychological distress and reduced job satisfaction.
A comprehensive meta-analysis involving 86 studies indicated that involuntary job loss is linked to increased psychological distress. The impact of involuntary unemployment was comparatively weaker in countries that had greater income equality and better social safety nets. The research evidence also indicates that poorer mental health slightly, but significantly, increases the risk of later job loss.
Some OHP research is concerned with (a) understanding the impact of economic crises on individuals' physical and mental health and well-being and (b) calling attention to personal and organizational means for ameliorating the impact of such a crisis. Economic insecurity contributes, at least partly, to psychological distress and work-family conflict. Ongoing job insecurity, even in the absence of job loss, is related to higher levels of depressive symptoms, psychological distress, and worse overall health.
Employees must balance their working lives with their home lives. Work–family conflict is a situation in which the demands of work conflict with the demands of family or vice versa, making it difficult to adequately do both, giving rise to distress. Although more research has been conducted on work-family conflict, there is also the phenomenon of work-family enhancement, which occurs when positive effects carry over from one domain into the other.
Psychosocial factors can influence the risk of occupational accidents that can lead to employee injury or death. One prominent psychosocial factor is the organization's safety climate. Safety climate refers to employees' shared beliefs regarding the priority the organization assigns to safety relative to the organization's other goals.
Research on workplace interventions to improve or protect worker health
A number of stress management interventions have emerged that have shown demonstrable effects in reducing job stress. Cognitive behavioral interventions have tended to have greatest impact on stress reduction.
OHP interventions often concern both the health of the individual and the health of the organization. Adkins (1999) described the development of one such intervention, an organizational health center (OHC) at a California industrial complex. The OHC helped to improve both organizational and individual health as well as help workers manage job stress. Innovations included labor-management partnerships, suicide risk reduction, conflict mediation, and occupational mental health support. OHC practitioners also coordinated their services with previously underutilized local community services in the same city, thus reducing redundancy in service delivery.
Hugentobler, Israel, and Schurman (1992) detailed a different, multi-layered intervention in a mid-sized Michigan manufacturing plant. The hub of the intervention was the Stress and Wellness Committee (SWC) which solicited ideas from workers on ways to improve both their well-being andproductivity. Innovations the SWC developed included improvements that ensured two-way communication between workers and management and reduction in stress resulting from diminished conflict over issues of quantity versus quality. Both the interventions described by Adkins and Hugentobler et al. had a positive impact on productivity.
OHP research at the National Institute for Occupational Safety and Health
NIOSH has a research agenda aimed reducing the incidence of preventable work-related disorders and accidents. For example, NIOSH research has aimed at reducing the problem of sleep apnea among heavy-truck and tractor-trailer drivers and, concomitantly, the life-threatening accidents to which the disorders lead. Another goal of NIOSH has been to improve the health and safety of workers who are assigned to shift work or who work long hours. A third example of NIOSH's efforts is the goal of reducing the incidence of falls among iron workers.
Military and first responders
The Mental Health Advisory Teams of the United States Army employ OHP-related interventions with combat troops. OHP also has a role to play in interventions aimed at helping first responders.
Modestly scaled interventions
Schmitt (2007) described three different modestly scaled OHP-related interventions that helped workers abstain from smoking, exercise more frequently, and lose weight. Other OHP interventions included a campaign to improve the rates of hand washing, an effort to get workers to walk more often, and a drive to get employees to be more compliant with regard to taking prescribed medicines. The interventions tended reduce organization health-care costs.
Organizations can play a role in promoting healthy behaviors in employees by providing resources to encourage such behaviors. These behaviors can be in areas such as reduction of sedentary behaviour exercise, nutrition, and smoking cessation.
Although the dimensions of the problem of workplace violence vary by economic sector, one sector, education, has had some limited success in introducing programmatic, psychologically-based efforts to reduce the level of violence. Research suggests that there continue to be difficulties in successfully "screening out applicants [for jobs] who may be prone to engaging in aggressive behavior," suggesting that aggression-prevention training of existing employees may be an alternative to screening. Only a small number of studies evaluating the effectiveness of training programs to reduce workplace violence have been documented.
Because many companies have implemented worker safety and health measures in a fragmented way, a new approach to worker safety and health has emerged in response, driven by efforts advanced by NIOSH. NIOSH trademarked that approach, naming it Total Worker Health. Total Worker Health involves the coordination of evidence-based (a) health promotion practices at the level of the individual worker and (b) umbrella-like health and safety practices at the level of the organizational unit. Total Worker Health–type interventions integrate health protection and health promotion components. Health promotion components are more individually oriented, in other words, oriented toward the wellness and/or well-being of individual workers. An example of such a component is a smoking cessation program. Umbrella-like health and safety practices are ordinarily implemented at the level of the unit or the organization. An example of such a component is that of introducing, factory-wide, equipment to reduce worker exposures to aerosols. A review of 17 Total Worker Health-type interventions, i.e., interventions that integrate individual employee health promotion components and organizational-level occupational safety/heath components, indicated that integrated programs can prevent work-related disorder and reduce injury.
^ abcdefghijkSchonfeld, I.S., & Chang, C.-H. (2017). Occupational health psychology: Work, stress, and health. New York, NY: Springer Publishing Company.
^ abHoudmont, J., & Leka, S. (2010). An introduction to occupational health psychology. In S. Leka & J. Houdmont (Eds.). Occupational health psychology (pp. 1–30). John Wiley: Hoboken, NJ.
^Centers for Disease Control and Prevention. Occupational Health Psychology (OHP). 
^ abcEverly, G.S., Jr. (1986). An introduction to occupational health psychology. In P.A. Keller & L.G. Ritt (Eds.), Innovations in clinical practice: A source book (Vol. 5, pp. 331–338). Sarasota, FL: Professional Resource Exchange.
^Society for Occupational Health Psychology. Field of OHP. What is occupational health psychologyArchived 2016-03-04 at the Wayback Machine
^ abTetrick, L.E., & Quick, J.C. (2011). Overview of occupational health psychology: Public health in occupational settings. In J.C. Quick & L.E. Tetrick (Eds.), Handbook of occupational health psychology (2nd ed., pp. 3–20). Washington DC: American Psychological Association.
^Marx, K. (1967/1845). The German ideology. In L.D. Easton & K.H.L. Guddat (Eds. and Trans.), Writings of the young Marx on philosophy and society. Garden City, NY: Doubleday.
^Taylor, F.W. (1911). The principles of scientific management. Norwood, MA: The Plimpton Press.
^ abChristie, A., & Barling, J. (2011). A short history of occupational health psychology: A biographical approach. In C. Cooper & A. Antoniou (Eds.), New directions in organizational psychology and behavioural medicine (pp. 7–24). Washington, DC: Gower Publishing.
^Mayo, E. (1933) The human problems of an industrial civilization. New York: MacMillan.
^Quinn, R.P. et al. (1971). Survey of working conditions: Final report on univariate and bivariate tables, Document No. 2916-0001. Washington, DC: U.S. Government Printing Office.
^House, J.S. (1980). Occupational stress and the mental and physical health of factory workers. Ann Arbor: Survey Research Center, Institute for Social Research, University of Michigan.
^Caplan, R.D., Cobb, S., & French, J.R.P., Jr. (1975). Relationships of cessation of smoking with job stress, personality, and social support. Journal of Applied Psychology, 60, 211–219. doi:10.1037/h0076471
^Trist, E.L., & Bamforth, K.W. (1951). Some social and psychological consequences of the longwall method of coal getting. Human Relations, 14, 3–38. doi:10.1177/001872675100400101
^Kornhauser, A. (1965). Mental health of the industrial worker. New York: Wiley.
^Christie, A. & Barling, J. (2011). A short history of occupational health psychology: A biographical approach. In C. Cooper & A. Antoniou (Eds.), New directions in organizational psychology and behavioral medicine (pp. 7–24). Washington, DC: Gower Publishing.
^Zickar, M.J. (2003). Remembering Arthur Kornhauser: Industrial psychology's advocate for worker well-being. Journal of Applied Psychology, 88, 363–369. doi:10.1037/0021-9010.88.2.363
^Gardell, B. (1971). Alienation and mental health in the modern industrial environment. In L. Levi (Ed.), Society, stress and disease (Vol. 1, pp. 148–180). Oxford: Oxford University Press.
^ abKasl, S.V., & Cobb, S. (1970). Blood pressure changes in men undergoing job loss: A preliminary report. Psychosomatic Medicine, 32(1), 19–38.
^Schonfeld, I.S. (2018). Occupational health psychology. In D.S. Dunn (Ed.), Oxford Bibliographies in Psychology. New York: Oxford University Press.
^Ferguson, D. (1977). The psychologist and occupational health. Proceedings of the Annual Conference, Ergonomics Society of Australia and New Zealand (pp. 41–50). Adelaide, South Australia, Australia: Department of Psychology, University of Adelaide.
^Feldman, R.H.L. (1985). Promoting occupational safety and health. G. Everly & R.H.L. Feldman (Eds.), Occupational health promotion: Health behavior in the workplace (pp. 188–207). New York: Wiley.
^ abRaymond, J.S., Wood, D., & Patrick, W.K. (1990). Psychology doctoral training in work and health. American Psychologist, 45, 1159–1161. doi:10.1037/0003-066X.45.10.1159
^ abSauter, S.L., Hurrell, J.J., Jr., Fox, H.R., Tetrick, L.E., & Barling, J. (1999). Occupational health psychology: An emerging discipline. Industrial Health, 37(2), 199–211.
^ abCox, T., & Tisserand, M. (2006). Editorial: Work & Stress comes of age: Twenty years of occupational health psychology. Work & Stress, 20, 1–5. doi:10.1080/02678370600739795
^ abcBarling, J., & Griffiths, A. (2011). A history of occupational health psychology. In J.C. Quick & L.E. Tetrick (Eds.), Handbook of occupational health psychology (2nd ed., pp. 21–34). Washington, D.C., American Psychological Association.
^International Commission on Occupational Health-Work Organisation and Psychosocial Factors 
^ abHoudmont, J. (2009). Across the pond: A history of the European Academy of Occupational Health Psychology. Newsletter of the Society of Occupational Health Psychology, 7, 4–5. Archived 2017-01-18 at the Wayback Machine
^Hammer, L.B., & Schonfeld, I.S. (2007). The historical development of the Society for Occupational Health Psychology (SOHP). Newsletter of the Society for Occupational Health Psychology, 1, 2. 
^ abHammer, L.B., Sauter, S., & Limanowski, J. (2008) Work, stress, and health 2008. Society for Occupational Health Psychology Newsletter, 2, 2. 
^Kasl, S.V., & Jones, B.A. (2011). An epidemiological perspective on research design, measurement, and surveillance strategies. In J. C. Quick & L. E. Tetrick (Eds.), Handbook of occupational health psychology (2nd ed., pp. 375–394). Washington DC: American Psychological Association.
^Adkins, J.A., Kelley, S.D., Bickman, L., & Weiss, H.M. (2011). Program evaluation: The bottom line in organizational health. In J.C. Quick & L.E. Tetrick (Eds.), Handbook of occupational health psychology (2nd ed., pp. 395–415). Washington DC: American Psychological Association.
^Eatough, E.M., & Spector P.E. (2013). Quantitative self-report methods in occupational health psychology research. In R.R. Sinclair, M. Wang, & L.E. Tetrick (Eds.), Research methods in occupational health psychology (pp. 248–267). New York: Routledge.
^Warren, N., Dillon, C., Morse, T., Hall, C., & Warren, A. (2000). Biomechanical, psychosocial, and organizational risk factors for WRMSD: Population-based estimates from the Connecticut Upper-extremity Surveillance Project (CUSP). Journal of Occupational Health Psychology, 5, 164–181. doi:10.1037/1076-89188.8.131.52
^Kelloway, E.K., & Francis, L. (2013). Longitudinal research and data analysis. In R.R. Sinclair, M. Wang, & L.E. Tetrick (Eds.), Research methods in occupational health psychology (pp. 374–394). New York: Routledge.
^Sonnentag, S., Binnewies, C., & Ohly, S. (2013). Event-sampling methods in occupational health psychology. In R. R. Sinclair, M. Wang & L. E. Tetrick (Eds.), Research methods in occupational health psychology (pp. 208–228). New York: Routledge.
^ abcStansfeld, S., & Candy, B. (2006). Psychosocial work environment and mental health—a meta-analytic review. Scandinavian Journal of Work, Environment & Health, 32(6), 443–462.
^Clarkson, G.P., & Hodgkinson, G.P. (2007). What can occupational stress diaries achieve that questionnaires can't? Personnel Review, 5, 684–700.
^Bond, F.W., & Bunce, D. (2001). Job control mediates change in a work reorganization intervention for stress reduction. Journal of Occupational Health Psychology, 6, 290–302. doi:10.1037/1076-89184.108.40.2060
^Chen, P.Y., Cigularov, K.P., & Menger, L.M. (2013). Experimental and quasi-experimental designs in occupational health psychology. In R.R. Sinclair, M. Wang, & L.E. Tetrick (Eds.), Research methods in occupational health psychology (pp. 180–207). New York: Routledge.
^Flaxman, P. E., & Bond, F. W. (2010). Worksite stress management training: Moderated effects and clinical significance. Journal of Occupational Health Psychology, 15, 347–358. doi:10.1037/a0020522
^Taris, T.W., de Lange, A.H., & Kompier, M.A.J. (2010). Research methods in occupational health psychology. In S. Leka & J. Houdmont (Eds.), Occupational health psychology (pp. 269–297). Chichester, UK: Wiley-Blackwell.
^Hayduk, L.A. (1987). Structural equations modeling with lisrel. Baltimore, MD: Johns Hopkins University Press.
^ abRaudenbush, S.W., & Bryk, A.S. (2001). Hierarchical linear models: Applications and data analysis methods (2nd ed.). Newbury Park, CA: Sage.
^Schonfeld, I.S., & Rindskopf, D. (2007). Hierarchical linear modeling in organizational research: Longitudinal data outside the context of growth modeling. Organizational Research Methods, 18, 417–429. doi:10.1177/1094428107300229
^Bianchi, R., Verkuilen, J., Schonfeld, I. S., Hakanen, J.J., Jansson-Fröjmark, M., Manzano-García, G., Laurent, E., & Meier, L.L. (2021). Is burnout a depressive condition? A 14-sample transnational and multi-occupational study. Clinical Psychological Science. doi:10.1177/2167702620979597
^O'Driscoll, M.P., & Cooper, C.L. (1994). Coping with work-related stress: A critique of existing measures and proposal for an alternative methodology. Journal of Occupational and Organizational Psychology, 67, 343–354. doi:10.1111/j.2044-8325.1994.tb00572.x
^Dewe, P.J. (1989). Examining the nature of work stress: Individual evaluations of stressful experiences and coping. Human Relations, 42, 993–1013. doi:10.1177/001872678904201103
^Kidd, P., Scharf, T., & Veazie, M. (1996). Linking stress and injury in the farming environment: A secondary analysis. Health Education Quarterly, 23, 224–237. doi:10.1177/109019819602300207
^Keenan, A., & Newton, T.J. (1985). Stressful events, stressors and psychological strains in young professional engineers. Journal of Occupational Behaviour, 6(2), 151–156. doi:10.1002/job.4030060206
^Schonfeld, I.S., & Mazzola, J.J. (2013). Strengths and limitations of qualitative approaches to research in occupational health psychology (pp. 268–289). In R.R. Sinclair, M. Wang, & L.E. Tetrick (Eds.), Research methods in occupational health psychology. New York: Routledge/Taylor & Francis Group.
^Karasek, R.A. (1979). Job demands, job decision latitude, and mental strain: Implications for job redesign. Administrative Science Quarterly, 24(2), 285–307.
^de Lange, A.H., Taris, T.W., Kompier, M.A., Houtman, I.L., & Bongers, P.M. (2003). "The very best of the millennium": Longitudinal research and the demand-control-(support) model. Journal of Occupational Health Psychology, 8, 282–305. doi:10.1037/1076-89220.127.116.112
^ abBean, C.G., Winefield, H.R., Sargent, C., & Hutchinson, A.D. (2015). Differential associations of job control components with both waist circumference and body mass index. Social Science & Medicine, 143, 1–8. doi:10.1016/j.socscimed.2015.08.034
^ abde Araújo, T.M., Karasek. R. (2008) Validity and reliability of the job content questionnaire in formal and informal jobs in Brazil. Scandinavian Journal of Work, Environment & Health, 6, Suppl. 52–59
^Joensuu, M. et al. (2012). Differential associations of job control components with mortality: A cohort study, 1986–2005. American Journal of Epidemiology, 175, 609–619. doi:10.1093/aje/kws028
^Johnson, J. V., Hall, E. M., & Theorell, T. (1989). Combined effects of job strain and social isolation on cardiovascular disease morbidity and mortality in a random sample of the Swedish male working population. Scandinavian Journal of Work, Environment & Health, 15, 271–279. doi:10.5271/sjweh.1852
^Schonfeld, I.S. (2018). Occupational health psychology. In D.S. Dunn (Ed.), Oxford Bibliographies in Psychology. New York: Oxford University Press. doi:10.1093/OBO/9780199828340-0211
^Siegrist, J., & Peter, R. (1994). Job stressors and coping characteristics in work-related disease: Issues of validity. Work & Stress, 8, 130–140. doi:10.1080/02678379408259985
^Siegrist, J. (1996). Adverse health effects of high-effort/low-reward conditions. Journal of Occupational Health Psychology, 1, 27–41. doi:10.1037/1076-8918.104.22.168
^Demerouti, E., Bakker, A.B., Nachreiner, F., & Schaufeli, W.B. (2001). The job demands-resources model of burnout. Journal of Applied Psychology, 86, 499–512. doi:10.1037//0021-9010.86.3.499
^Mark, George M.; Smith, Andrew P. (2008). "Stress models: a review and suggested new direction". In Houdmont, J.; Leka, S (eds.). Occupational Health Psychology. Nottingham University Press. pp. 111–144. ISBN978-1-904761-82-2. S2CID16731683.
^Murphy, L.R. (1991). Job dimensions associated with severe disability due to cardiovascular disease. Journal of Clinical Epidemiology, 44(2), 155–166.
^Belkić, K., Landsbergis, P., Schnall, P., et al. (2000). Psychosocial factors: Review of the empirical data among men. In Schnall, P., Belkić, K., Landsbergis, P., et al (Eds.), The workplace and cardiovascular disease. Occupational Medicine, State of the Art Reviews, 15(1), 24–46. Philadelphia: Hanley and Belfus. "Archived copy". Archived from the original on 2008-07-23. Retrieved 2008-07-23.((cite web)): CS1 maint: archived copy as title (link)
^Brisson C. (2000). Women, work and cardiovascular disease. In P. Schnall, K. Belkić, P.A. Landsbergis, & D. Baker (Eds.), The workplace and cardiovascular disease. Occupational Medicine: State of the Art Reviews, 15(1), 49–57. Philadelphia: Hanley and Belfus. "Archived copy". Archived from the original on 2008-07-23. Retrieved 2008-07-23.((cite web)): CS1 maint: archived copy as title (link)
^Fredrikson M., Sundin O., & Frankenhaeuser M. (1985). Cortisol excretion during the defence reaction in humans. Psychosomatic Medicine, 47, 313–319.
^DeQuattro, V., & Hamad, R. (1985). The role of stress and the sympathetic nervous system in hypertension and ischemic heart disease: advantages of therapy with beta-receptor blockers. Clinical and Experimental Hypertension. Part A, Theory and Practice, 7(7), 907–932.
^Landsbergis, P., Dobson, M., Koutsouras, G., & Schnall, P. (2013). Job strain and ambulatory blood pressure: a meta-analysis and systematic review. American Journal of Public Health, 103(3), e61-e71. doi:10.2105/AJPH.2012.301153
^Belkić, K., et al. (2000). Psychosocial factors: Review of the empirical data among men. Occupational Medicine: State of the Art Reviews, 15, 24–46. "Archived copy". Archived from the original on 2008-07-23. Retrieved 2008-07-23.((cite web)): CS1 maint: archived copy as title (link)
^Hallqvist, J., Diderichsen, F., Theorell, T., Reuterwall, C., & Ahlbom, A. (1998). Is the effect of having a high-strain job on myocardial infarction risk due to interaction between high psychological demands and low decision latitude? Results from Stockholm Heart Epidemiology Program (SHEEP). Social Science & Medicine, 46(11), 1405–1415.
^Johnson, J.V., & Hall, E.M. (1988). Job strain, workplace social support, and cardiovascular disease: A cross-sectional study of a random sample of the Swedish working population. American Journal of Public Health, 78(10), 1336–1342.
^Belkic, K.L., Landsbergis, P.A., Schnall, P.L., & Baker, D. (2004). Is job strain a source of major cardiovascular risk? Scandinavian Journal of Work, Environment, and Health, 30(2), 85–128.
^Fishta, A., & Backé, E. (2015). Psychosocial stress at work and cardiovascular diseases: An overview of systematic reviews. International Archives of Occupational and Environmental Health, 88,997–1014. doi:10.1007/s00420-015-1019-0.
^Kivimäki, M., Nyberg, S., Batty, G., Fransson, E., Heikkilä, K., Alfredsson, L., . . . Theorell, T. (2012). Job strain as a risk factor for coronary heart disease: A collaborative meta-analysis of individual participant data. The Lancet, 380, 1491–1497. doi:10.1016/S0140-6736(12)60994-5
^Huang, Y., Xu, S., Hua, J. et al. (2015). Association between job strain and risk of incident stroke: A meta-analysis. Neurology, 85, 1648–1654. doi:10.1212/WNL.0000000000002098
^Landsbergis, P., et al. (2003). The workplace and cardiovascular disease: Relevance and potential role for occupational health psychology. In J.C. Quick & L.E. Tetrick (Eds.), Handbook of occupational health psychology (pp. 265–287). Washington, DC: American Psychological Association.
^Dragano, N., Siegrist, J., Nyberg, S.T. et al. (2017). Effort-reward imbalance at work and incident coronary heart disease: A multi-cohort study of 90,164 individuals. Epidemiology, 28, 619–626. doi:10.1097/EDE.0000000000000666
^Toker, S., Melamed, S., Berliner, S., Zeltser, D., & Shapira, I. (2012). Burnout and risk of coronary heart disease: a prospective study of 8838 employees. Psychosomatic Medicine, 74, 840–847. doi:10.1097/PSY.0b013e31826c3174
^Gallo, W.T., Teng, H.M., Falba, T.A., Kasl, S.V., Krumholz, H.M., & Bradley, E.H. (2006). The impact of late career job loss on myocardial infarction and stroke: A 10 year follow up using the health and retirement survey. Occupational and Environmental Medicine, 63, 683–687. doi:10.1136/oem.2006.026823
^Gallo, W. T. (2010). Involuntary job loss and health: My path to job loss research. Newsletter of the Society for Occupational Health Psychology, 9, 17, 20. 
^Social Security Administration. (2012). Annual statistical report on the Social Security Disability Insurance Program, 2011. Washington, DC: Author. 
^Sprigg, C. A., Stride, C.B., Wall, T.D., Holman, D.J., & Smith, P.R. (2007). Work characteristics, musculoskeletal disorders, and the mediating role of psychological strain: A study of call center employees. Journal of Applied Psychology, 92, 1456–1466. doi:10.1037/0021-9010.92.5.1456
^ abHauke, A., Flintrop, J., Brun, E., & Rugulies, R. (2011). The impact of work-related psychosocial stressors on the onset of musculoskeletal disorders in specific body regions: A review and meta-analysis of 54 longitudinal studies. Work & Stress, 25, 243–256. doi:10.1080/02678373.2011.614069
^ abBigos, S., Battié, M., Spengler, D., Fisher, L., Fordyce, W., Hansson, T., & ... Wortley, M. (1991). A prospective study of work perceptions and psychosocial factors affecting the report of back injury. Spine, 16(1), 1–6.
^Mäntyniemi, A., Oksanen, T., Salo, P., Virtanen, M., Sjösten, N., Pentti, J., & ... Vahtera, J. (2012). Job strain and the risk of disability pension due to musculoskeletal disorders, depression or coronary heart disease: A prospective cohort study of 69,842 employees. Occupational and Environmental Medicine, 69, 574–581. doi:10.1136/oemed-2011-100411
^Kraatz, S., Lang, J., Kraus, T., Münster, E., & Ochsmann, E. (2013). The incremental effect of psychosocial workplace factors on the development of neck and shoulder disorders: A systematic review of longitudinal studies. International Archives of Occupational and Environmental Health, 86, 375–395.
^Lang, J., Ochsmann, E., Kraus, T., & Lang, J.W.B. (2012). Psychosocial work stressors as antecedents of musculoskeletal problems: A systematic review and meta-analysis of stability-adjusted longitudinal studies. Social Science & Medicine, 75, 1163–1174.
^Yang, L., Caughlin, D.E., Gazica, M.W., Truxillo, D.M., & Spector, P.E. (2014). Workplace mistreatment climate and potential employee and organizational outcomes: A meta-analytic review from the target's perspective. Journal of Occupational Health Psychology, 19, 315–335. doi:10.1037/a0036905
^Andersson, L. M., & Pearson, C. M. (1999). Tit for tat? The spiraling effect of incivility in the workplace. Academy of Management Review, 24, 452–471. doi:10.5465/AMR.1999.2202131
^ abCortina, L.M., Magley, V., Williams, J.H., & Langhout, R.D. (2001). Incivility in the workplace: Incidence and impact. Journal of Occupational Health Psychology, 6, 64–80. doi:10.1037//1076-8922.214.171.124
^Tepper, B. J. (2000). "Consequences of abusive supervision". Academy of Management Journal, 43, 178–190. doi:10.2307/1556375
^Grandey, A.A., Kern, J.H., & Frone, M.R. (2007). Verbal abuse from outsiders versus insiders: Comparing frequency, impact on emotional exhaustion, and the role of emotional labor. Journal of Occupational Health Psychology, 12, 63–79. doi:10.1037/1076-89126.96.36.199
^Rayner, C., & Keashly, L. (2005). Bullying at work: A perspective from Britain and North America. In S. Fox & P.E. Spector (Eds.), Counterproductive work behavior: Investigations of actors and targets (pp. 271–296). Washington, DC: American Psychological Association. doi:10.1037/10893-011
^Rospenda, K.M., & Richman, J.A. (2005). Harassment and discrimination. In J. Barling, E.K. Kelloway & M.R. Frone (Eds.), Handbook of work stress (pp. 149–188). Thousand Oaks, CA: Sage.
^Schat, A.C.H., Frone, M.R., & Kelloway, E.K. (2006). Prevalence of workplace aggression in the U.S. workforce. In E.K. Kelloway, J. Barling, & J.J. Hurrell, Jr. (Eds.), Handbook of workplace violence (pp. 47–89). Thousand Oaks, CA: Sage.
^Peek Asa, C., Howard, J., Vargas, L., Kraus, J.F. (1997). Incidence of non-fatal workplace assault injuries determined from employer's reports in California. Journal of Occupational and Environmental Medicine, 39(1), 44–50.
^ abLaMar W.J., Gerberich, S.G., Lohman, W.H., Zaidman, B. (1998). Work-related physical assault. Journal of Occupational and Environmental Medicine, 40(4), 317–324.
^Islam, S.S., Edla, S.R., Mujuru, P., Doyle, E.J., & Ducatman, A.M. (2003). Risk factors for physical assault. State managed workers' compensation experience. American Journal of Preventive Medicine, 25(1), 31–37.
^Bloch, A.M. (1978). Combat neurosis in inner-city schools. American Journal of Psychiatry, 135(10), 1189–1192.
^Bureau of Labor Statistics. (2004). 1992–2001 Census of fatal occupational injuries (CFOI) Revised data. Washington, DC: U.S. Department of Labor, Bureau of Labor Statistics. 
^Bureau of Labor Statistics. (2004). Civilian labor force (seasonally adjusted)(LNS11000000). Washington, DC: U.S. Department of Labor, Bureau of Labor Statistics. 
^ abMadsen, I. E. H., Nyberg, S. T., Magnusson Hanson, L. L., Ferrie, J. E., Ahola, K., Alfredsson, L., Batty, G. D., Bjorner, J. B., Borritz, M., Burr, H., Chastang, J.-F., de Graaf, R., Dragano, N., Hamer, M., Jokela, M., Knutsson, A., Koskenvuo, M., Koskinen, A., Leineweber, C., … Kivimäki, M. (2017). Job strain as a risk factor for clinical depression: systematic review and meta-analysis with additional individual participant data. Psychological Medicine, 47', 1342–1356. https://doi.org/ 10.1017/S003329171600355X
^Mandell W., Eaton, W.W., Anthony, J.C., & Garrison, R. (1992). Alcoholism and occupations: A review and analysis of 104 occupations. Alcoholism: Clinical and Experimental Research, 16, 734–746. doi:10.1111/j.1530-0277.1992.tb00670.x
^Crum, R.M., Muntaner. C., Eaton. W.W., & Anthony. J.C. (1995). Occupational stress and the risk of alcohol abuse and dependence. Alcoholism: Clinical and Experimental Research, 19, 647–655. doi:10.1111/j.1530-0277.1995.tb01562.x
^Eaton, W.W., Anthony, J.C., Mandel, W., & Garrison, R. (1990). Occupations and the prevalence of major depressive disorder. Journal of Occupational Medicine, 32(11), 1079–1087.
^Wang J. (2005). Work stress as a risk factor for major depressive episode(s). Psychological Medicine, 35, 865–871. doi:10.1017/S0033291704003241
^Ettner, S.L. (2011). Personality disorders and Work. In Schultz & Rogers (Eds.), Work accommodation and retention in mental health (pp. 163–188). New York: Springer. doi:10.1007/978-1-4419-0428-7_9
^Ettner, S.L., Maclean, J.C., & French, M.T. (2011). Does having a dysfunctional personality hurt your career? Axis II personality disorders and labor market outcomes. Industrial Relations, 50, 149–173. doi:10.1111/j.1468-232X.2010.00629.x
^Link, B.G., Dohrenwend, B.P., & Skodol, A.E. (1986). Socio-economic status and schizophrenia: Noisome occupational characteristics as a risk factor. American Sociological Review, 51, 242–258. doi:10.2307/2095519
^Muntaner, C., Tien, A.Y., Eaton, W.W., & Garrison R. (1991). Occupational characteristics and the occurrence of psychotic disorders. Social Psychiatry and Psychiatric Epidemiology, 26, 273–280. doi:10.1007/BF00789219
^Ford, M.T., Matthews, R.A., Wooldridge, J.D., Mishra, V., Kakar, U.M., & Strahan, S.R. (2014). How do occupational stressor-strain effects vary with time? A review and meta-analysis of the relevance of time lags in longitudinal studies. Work & Stress, 28, 9–30. doi:10.1080/02678373.2013.877096
^Dohrenwend, B.P., Shrout, P.E., Egri, G., & Mendelsohn, F.S. (1980). Nonspecific psychological distress and other dimensions of psychopathology: Measures for use in the general population. Archives of General Psychiatry, 37, 1229–1236.
^Frank, J.D. (1973). Persuasion and healing. Baltimore: The Johns Hopkins Press.
^Häusser, J. A., Mojzisch, A., Niesel, M. & Schulz-Hardt, S. (2010). Ten years on: A review of recent research on the job demand-control (-support) model and psychological well-being. Work & Stress, 24, 1–35. doi:10.1080/02678371003683747
^Theorell, T., Hammarström, A., Aronsson, G. et al. (2015). A systematic review including meta-analysis of work environment and depressive symptoms. BMC Public Health, 15, 738. doi:10.1186/s12889-015-1954-4
^Greenberg, E.S., & Grunberg, L. (1995). Work alienation and problem alcohol behavior. Journal of Health and Social Behavior, 36, 83–102. doi:10.2307/2137289
^House, J.S. (1974). Occupational stress and coronary heart disease: A review and theoretical integration. Journal of Health and Social Behavior, 15, 12–27. doi:10.2307/2136922
^Parkes, K.R. (1982). Occupational stress among student nurses: A natural experiment. Journal of Applied Psychology, 67, 784–796. doi:10.1037/0021-9010.67.6.784
^Frese, M. (1985). Stress at work and psychosomatic complaints: A causal interpretation. Journal of Applied Psychology, 70, 314–328. doi:10.1037/0021-9010.70.2.314
^Carayon, P. (1992). A longitudinal study of job design and worker strain: Preliminary results. In J.C. Quick, L.R. Murphy, & J.J. Hurrell, Jr. (Eds.), Work and well-being: Assessments and instruments for occupational mental health (pp. 19–32). Washington, DC: American Psychological Association. doi:10.1037/10116-002
^Dormann, C., & Zapf, D. (2002). Social stressors at work, irritation, and depressive symptoms: Accounting for unmeasured third variables in a multi-wave study. Journal of Occupational and Organizational Psychology, 75, 33–58. doi:10.1348/096317902167630
^ abcPaul, K. I., & Moser, K. (2009). Unemployment impairs mental health: Meta-analyses. Journal of Vocational Behavior, 74, 264–282. doi:10.1016/j.jvb.2009.01.001
^Probst, T.M., & Sears, L.E. (2009). Stress during the financial crisis. Newsletter of the Society for Occupational Health Psychology, 5, 3–4. Archived 2016-03-05 at the Wayback Machine
^ abSinclair, R.R., Probst, T., Hammer, L.B., & Schaffer, M.M. (2013). Low income families and occupational health: Implications of economic stress for work-family conflict research and practice. In A.G. Antoniou & C.L. Cooper (Eds.), The psychology of the recession on the workplace (pp. 308–323). Northampton, MA, US: Edward Elgar Publishing. doi:10.4337/9780857933843.00030
^Burgard, S.A., Brand, J.E., & House, J.S. (2009). Perceived job insecurity and worker health in the United States. Social Science & Medicine, 69, 777–785. doi:10.1016/j.socscimed.2009.06.029.
^ abGreenhaus, J.G., & Allen, T. (2011). Work-family balance: A review and extension. In J.C. Quick & L.E. Tetrick (Eds.), Handbook of occupational health psychology (2nd ed., pp. 165–183). Washington DC, American Psychological Association.
^Zohar, D. (2010). Thirty years of safety climate research: Reflections and future directions. Accident Analysis and Prevention, 42, 1517–1522. doi:10.1016/j.aap.2009.12.019.
^ abRichardson, K. M., & Rothstein, H. R. (2008). Effects of occupational stress management intervention programs: A meta-analysis. Journal of Occupational Health Psychology, 13, 69–93. doi:10.1037/1076-89188.8.131.52
^Adkins, J.A. (1999). Promoting organizational health: The evolving practice of occupational health psychology. Professional Psychology: Research and Practice, 30(2), 129 137. doi:10.1037/0735-7028.30.2.129
^Hugentobler, M.K., Israel, B.A., & Schurman, S.J. (1992). An action research approach to workplace health: Integrating methods. Health Education Quarterly, 19(1), 55–76. doi:10.1177/109019819201900105
^Hitchcock, E. (2008). NIOSH OHP activities. Newsletter of the Society for Occupational Health Psychology, 3, 10. 
^Caruso, C. (2009). NIOSH OHP activities: Training products for workers who are assigned to shift work or work long work hours. Newsletter of the Society for Occupational Health Psychology, 5, 16–17. Archived 2016-03-05 at the Wayback Machine
^Scharf, T., Hunt, J., III, McCann, M., Pierson, R., Migliaccio, F., Limanowski, J., et al. (2010). Hazard recognition for ironworkers: Preventing falls and close calls. Newsletter of the Society for Occupational Health Psychology, 9, 8–9. 
^Thomas, J.L. (2008). OHP Research and Practice in the US Army: Mental Health Advisory Teams. Newsletter of the Society for Occupational Health Psychology, 4, 4–5. 
^Genderson, M.R., Schonfeld, I.S., Kaplan, M.S., & Lyons, M.J. (2009).Suicide associated with military service. Newsletter of the Society for Occupational Health Psychology, 6, 5–7. Archived 2017-09-22 at the Wayback Machine
^Katz, C. (2008). Mental health of 9/11 responders. Newsletter of the Society for Occupational Health Psychology, 4, 2–3. 
^Arnetz, B. (2009). Low-intensity stress in high-stress professionals. Newsletter of the Society for Occupational Health Psychology, 7, 6–7.Archived 2017-01-18 at the Wayback Machine
^ abSchmitt, L. (2007). OHP interventions: Wellness programs. Newsletter of the Society for Occupational Health Psychology, 1, 4–5. 
^ abSchmitt, L. (2008). OHP interventions: Wellness programs (Part 2). Newsletter of the Society for Occupational Health Psychology, 2, 6–7. 
^Bennett, J.B., Cook, R.F., & Pelletier, K.R. (2011). An integral framework for organizational wellness: Core technology, practice models, and case studies In J.C. Quick & L.E. Tetrick (Eds.), Handbook of occupational health psychology (2nd ed., pp. 95–118). Washington, DC: American Psychological Association.
^Schonfeld, I.S. (2006). School violence. In E.K. Kelloway, J. Barling, & J.J. Hurrell, Jr. (Eds), Handbook of workplace violence (pp. 169–229). Thousand Oaks, CA: Sage Publications. 
^Day, A.L, & Catano, V.M. (2006) Screening and selecting out violent employees. In E.K. Kelloway, J. Barling, & J.J. Hurrell, Jr. (Eds), Handbook of workplace violence (pp. 549–577). Thousand Oaks, CA: Sage Publications.
^Schat, A.C.H., & Kelloway, E.K. (2006). Training as a workplace aggression intervention strategy. In E.K. Kelloway, J. Barling, & J.J. Hurrell, Jr. (Eds), Handbook of workplace violence (pp. 579–605). Thousand Oaks, CA: Sage Publications.
^ abSchill, A. L., & Chosewood, L. C. (2013). The NIOSH Total Worker Health™ program: An overview. Journal of Occupational and Environmental Medicine, 55(12 Suppl.), S8–S11. doi:10.1097/JOM.0000000000000037
^Anger, W. K., Elliot, D. L., Bodner, T., Olson, R., Rohlman, D. S., Truxillo, D. M., & ... Montgomery, D. (2015). Effectiveness of Total Worker Health interventions. Journal of Occupational Health Psychology, 20, 226–247. doi:10.1037/a0038340
Cohen, A., & Margolis, B. (1973). Initial psychological research related to the Occupational Safety and Health Act of 1970. American Psychologist, 28(7), 600–606. doi:10.1037/h0034997
de Lange, A.H., Taris, T.W., Kompier, M.A.J., Houtman, I.L.D., & Bongers, P.M. (2003). "The very best of the millennium": Longitudinal research and the Demand-Control-(Support) Model. Journal of Occupational Health Psychology, 8(4), 282–305. doi:10.1037/1076-89184.108.40.2062
Everly, G.S., Jr. (1986). An introduction to occupational health psychology. In P.A. Keller & L.G. Ritt (Eds.), Innovations in clinical practice: A source book, Vol. 5 (pp. 331–338). Sarasota, FL: Professional Resource Exchange.
Frese, M. (1985). Stress at work and psychosomatic complaints: A causal interpretation. Journal of Applied Psychology, 70(2), 314–328. doi:10.1037/0021-9010.70.2.314
Karasek, R.A. (1979). Job demands, job decision latitude, and mental strain: Implications for job redesign. Administrative Science Quarterly, 24(2), 285–307.
Kasl, S.V. (1978). Epidemiological contributions to the study of work stress. In C.L. Cooper & R.L. Payne (Eds.), Stress at work (pp. 3–38). Chichester, UK: Wiley.
Kasl, S.V., & Cobb, S. (1970). Blood pressure changes in men undergoing job loss: A preliminary report. Psychosomatic Medicine, 32(1), 19–38.
Kelloway, E.K., Barling, J., & Hurrell, J.J., Jr. (Eds.) (2006). Handbook of workplace violence. Thousand Oaks, CA: Sage Publications.
Leka, S., & Houdmont, J. (Eds.)(2010). Occupational health psychology. Chichester, UK: Wiley-Blackwell.
Parkes, K.R. (1982). Occupational stress among student nurses: A natural experiment. Journal of Applied Psychology, 67(6), 784–796. doi:10.1037/0021-9010.67.6.784
Quick, J.C., Murphy, L.R., & Hurrell, J.J., Jr. (Eds.) (1992). Work and well-being: Assessments and instruments for occupational mental health. Washington, DC: American Psychological Association.
Quick, J.C., & Tetrick, L.E. (Eds.). (2010). Handbook of occupational health psychology (2nd ed.). Washington, DC: American Psychological Association.
Raymond, J., Wood, D., & Patrick, W. (1990). Psychology training in work and health. American Psychologist, 45(10), 1159–1161. doi:10.1037/0003-066X.45.10.1159
Sauter, S.L., & Murphy, L.R. (Eds.) (1995). Organizational risk factors for job stress. Washington, DC: American Psychological Association.
Schonfeld, I.S. (2018). Occupational health psychology. In D.S. Dunn (Ed.), Oxford Bibliographies in Psychology. New York: Oxford University Press. doi:10.1093/OBO/9780199828340-0211
Schonfeld, I.S., & Chang, C.-H. (2017). Occupational health psychology: Work, stress, and health. New York, NY: Springer Publishing Company.
Siegrist, J. (1996). Adverse health effects of high effort-low reward conditions at work. Journal of Occupational Health Psychology, 1(1), 27–43. doi:10.1037/1076-89220.127.116.11
Zapf, D., Dormann, C., & Frese, M. (1996). Longitudinal studies in organizational stress research: A review of the literature with reference to methodological issues. Journal of Occupational Health Psychology, 1(2), 145–169. doi:10.1037/1076-8918.104.22.168