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The Journal of the Canadian Chiropractic Association logoLink to The Journal of the Canadian Chiropractic Association
. 2025 Dec 30;69(4):365–378.

Well-being in Australian chiropractors and chiropractic students: factors influencing burnout and job satisfaction

Zoe Ryan 1, Matt Fernandez 1, Katie de Luca 1, Aron Downie 2, David T McNaughton 1,
PMCID: PMC12871893  PMID: 41648797

Abstract

Background

Chiropractors face workplace stressors that affect well-being, burnout and job satisfaction. The well-being of chiropractors and students in Australia is yet to be examined.

Methods

From September 2024 to January 2025, Australian chiropractors and students completed a well-being survey. Measures included burnout, anxiety, depression, job satisfaction, substance use, suicidal ideation and job demands/resources. Multivariable regression models assessed factors associated with burnout and job satisfaction.

Results

Of 200 respondents, 38% reported burnout and nearly 80% reported job satisfaction. Early-career chiropractors reported lower job satisfaction and higher burnout. Higher depression (β=0.26 [0.15–0.36]) and anxiety (β=0.03 [0.00–0.06]) scores were associated with burnout. Job satisfaction was associated with lower depression (OR=.60 [0.39–0.93]), more resources (OR=2.98 [1.39–6.39]) and greater workload control (OR=2.03 [1.14–3.62]).

Conclusion

Preliminary results suggest the need for well-being screening and interventions for at-risk groups, including students, early career chiropractors and those experiencing elevated anxiety and depression.

Keywords: anxiety, burnout, chiropractic student, chiropractor, depression, job resources and demands, job satisfaction, well-being

Introduction

The COVID-19 pandemic highlighted the importance of maintaining a healthy and functioning healthcare workforce to withstand pressures in an ever-changing environment. 1 The healthcare environment places employees at a high risk for stress, burnout, and psychological distress, with the challenges of sustained clinical work, constantly changing work environments and repeated exposure to patients’ issues.13 Chiropractors, like other healthcare professionals, address complex client issues and offer physical and emotional support to their patients.

The Australian chiropractic profession has a registered workforce of over 6,000 accounting for an estimated 21.3 million patient consultations per year.4,5 Although research on chiropractors’ well-being is in its infancy, U.S. studies have identified isolation, professional competition and student debt as stressors that can impact chiropractors’ well-being.6,7 Additionally, individual factors such as fewer years in practice, younger age, and female gender have been linked to reduced chiropractor well-being.6

Workplace well-being is commonly operationalised using measures of burnout, job satisfaction, and psychological functioning (e.g. depression and anxiety levels).8 Burnout is considered a psychological syndrome due to a prolonged state of chronic job-related stress.9,10 It is estimated that burnout may develop in 20 to 80% of healthcare workers, and it is reported across all stages of their careers.3,11 Burnout in healthcare workers impacts the individual and their patients, with higher levels of burnout associated with increased medical errors and lower patient outcomes.3 Literature on burnout in chiropractors is scarce, with no published papers researching Australian chiropractors and burnout, reiterating the importance of this research.

Complementary to burnout is the concept of job satisfaction. Since work consumes a significant portion of a person’s time, job satisfaction has a profound impact on psychological functioning, health, and overall well-being. 12,13 Additionally, reduced job satisfaction is associated with a decline in the quality of patient care, decreased worker productivity, increased employee absenteeism, and a greater intention to leave the profession or retire early.14,15 Job satisfaction is an individual’s affective response to various aspects of their job that are important to them, and low job satisfaction is associated with higher symptoms of burnout, anxiety and depression.12 Considering the link between poor job satisfaction and burnout, as well as its implications for patients and the broader healthcare system, it is imperative to investigate job satisfaction among Australian chiropractors.

An individual’s risk of developing burnout is not solely determined by workplace conditions. Responses to stressful situations vary across individuals, with reduced psychological functioning increasing an individual’s vulnerability to stressors.16 Anxiety and depression, common psychological conditions, are extensively connected with burnout in the literature.16,17

Like healthcare workers, students in health professions face significant stressors, particularly during teaching terms and placements, which add to academic and financial strain.10 For example, medical students face well-documented challenges with stress, burnout and psychological distress, with factors such as academic studies, relationships and financial difficulties impacting their well-being. 17,18 Research on chiropractic student well-being is limited; however, a survey of 121 chiropractic students across four European colleges reported burnout and stress levels similar to those of medical students.19 These findings underscore the importance of including students in this study, as addressing their well-being is essential for the sustainability of Australia’s chiropractic workforce.

Burnout and job satisfaction are essential components of well-being that have been extensively studied in other healthcare professions; however, there has been limited investigation in the Australian chiropractic context. In alignment with a global effort to understand the mental health and well-being of the chiropractic workforce using an internationally comparable survey, the current study piloted the implementation of the National Chiropractic Health Survey. The specific aims of this pilot study are to: (1) determine preliminary estimates of Australian chiropractors and chiropractic students, burnout, job satisfaction, socio-demographic factors, psychological functioning and drug and alcohol use, and (2) determine the preliminary association between a) burnout and b) job satisfaction with sociodemographic, psychological and job resources and demands in the Australian chiropractic profession.

Methods

Procedure

This pilot study encompassed a cross-sectional online survey conducted between September 2024 and January 2025. All registered Australian chiropractors and chiropractic students aged 18 and above were eligible to participate in a survey exploring factors related to work and wellbeing via an online link. National Chiropractic Associations, existing networks, and professional associations distributed the survey to Australian chiropractic members. It was also distributed to members on their websites and other communication channels (e.g., newsletters and social media). The study was approved by the CQUniversity Human Research Ethics Committee, approval number 0000025018.

Measures

The National Chiropractic Health Survey (NCHS), initially developed for the Canadian Medical Association and successfully applied to Canadian chiropractors in 2023, was adapted for an Australian setting.20 The survey captured demographic information and psychological, behavioural, and occupational indicators relevant to the Australian chiropractic industry. This survey measured factors relating to burnout and job satisfaction in Australian chiropractors and students. In this survey, all questions were optional, with the only required answers being those that involved navigation (e.g. would you like to skip this section?). For the present study, career stage choices were collapsed into two categories: chiropractic students (including chiropractic students, graduate school students, and clinical residents) and registered chiropractors (currently practising chiropractic, on leave from practice, paused practice, but not retired).

Burnout

Burnout was measured using the Stanford Professional Fulfilment Index (PFI), which consists of 16 questions rated on a 5-point rating scale (0-Not at all true; 4-completely true) with three subscales. The PFI burnout score is calculated by averaging the individual item scores within the work exhaustion (WE) and interpersonal disengagement (ID) sub-scales. The WE subscale (4 items) measured feelings of physical and emotional exhaustion with questions such as ‘How often during the past few weeks have you felt emotionally exhausted at work or school?’ The ID subscale (6 items) assessed detachment and reduced empathy, with questions including ‘How often during the past few weeks have you felt less empathetic with your patients?’ Following standard guidelines, mean scores were calculated for each subscale to produce total WE and ID scores. A total burnout score was calculated as the mean of all 10 items. A cutoff level of 1.33 was used to establish PFI burnout. The reliability of the PFI has been established with test-retest reliability estimates of 0.80 for work exhaustion (α = 0.86), 0.71 for interpersonal disengagement (α = 0.92), and 0.80 for overall burnout (α = 0.92). PFI measures have been shown to correlate highly with the Maslach Burnout Inventory (MBI), the closest equivalent burnout measurement tool (r ≥ 0.50) 21. In the current study, Cronbach’s alpha for internal consistency was α = 0.93 for WE, α = 0.93 for ID, and α = 0.94 for overall burnout.

Job Satisfaction

Job satisfaction was measured by one item: ‘Overall, I am satisfied with my current job or training position,’ rated on a 5-point Likert scale from 0 (strongly disagree) to 4 (strongly agree). Given that most chiropractors and students reported satisfaction (agree or strongly agree), job satisfaction was coded as a binary variable (1 = satisfied, 0 = neutral/disagreed), allowing for meaningful analysis of the skewed distribution toward higher satisfaction. Single-item measures of job satisfaction are widely used to capture an individual’s overall satisfaction with their job, avoiding the complexity of multi-component scales that may not reflect an individual’s priorities.12,22,23 A single-item measure of job satisfaction shows concurrent validity with multiple-item job satisfaction scales (r = .82) and a reliability estimate of .90 (comparable to multiple-item job satisfaction measures of α = .92).22

Anxiety

Anxiety symptoms were measured using the 7-item General Anxiety Disorder screening tool (GAD-7). Participants were asked, ‘How often have you been bothered by the following over the past two (2) weeks?’ followed by seven items relating to anxiety symptoms (e.g. ‘Feeling nervous, anxious, or on edge’). Four options ranged from nearly every day (score of 3) to not at all (score of 0). The results of each question were totalled (ranging from 0 to 21), with higher scores indicating higher anxiety symptoms. Internal consistency of the GAD-7 in the general population is acceptable (α = 0.89).24 The GAD-7 demonstrates construct validity, with intercorrelations comparable to those found in other studies, including the PHQ-2 (r = 0.64) and the Rosenberg Self-Esteem Scale (r = −0.43).24 Cronbach’s alpha for internal consistency was α = 0.91.

Depression

Depression symptoms were measured using the Patient Health Questionnaire −2 (PHQ-2). Participants were asked, ‘Over the last 2 weeks, how often have you been bothered by the following problems?’ This was followed by two statements: ‘little interest or pleasure in doing things’, and ‘feeling down, depressed, or hopeless.’ Respondents chose from 4 options ranging from nearly every day (score of 3) to not at all (score of 0). The results of each question were totalled (ranging from 0 to 6), with higher scores indicating higher levels of depressive symptoms. Criterion validity has been demonstrated for the PHQ-2 by assessing it against the mental health professional (MHP).25 The PHQ-2 has demonstrated a pooled sensitivity of 100% and 76% and a specificity of 77% and 87% in different samples and is therefore effective for identifying individuals who may be at risk for depression. 26 Cronbach’s alpha for internal consistency was α = 0.84.

Suicidal ideation

Respondents were asked a screening question about suicidal ideation: ‘Have you had thoughts of suicide in the last 12 months?’, choosing from ‘yes’, ‘no’, and ‘prefer not to answer’. Respondents who selected ‘yes’ screened positively for suicidal ideation. All other responses screened ‘no’ for suicidal ideation. Before answering questions regarding suicidal ideation and drug and alcohol use, participants were reminded that the survey was anonymous and voluntary. Participants were encouraged to seek support from a general practitioner or emergency services. Contact numbers for two mental health helpline services were provided to participants (Beyond Blue and Lifeline).

Alcohol and Drug Use

Questions regarding the use of alcohol were asked on a 5-point Likert scale from 0 (never) to 4 (daily or almost daily) with an option of ‘I prefer not to answer’. Respondents were asked: ‘In the past year, how many times have you used the following substances for non medical reasons? Alcohol(for men, five or more standard drinks in a day; for women, four or more standard drinks in a day). Note: A drink is one can/bottle of beer or wine cooler, one glass of wine, one cocktail, or one shot of liquor.’

Drug Use

Questions regarding the use of drugs were asked on a 5-point Likert scale from 0 (never) to 4 (daily or almost daily) with an option of ‘I prefer not to answer’. Respondents were asked: ‘In the past year, how many times have you used the following substances for non-medical reasons? (stimulants, tobacco products, cannabis (recreational), opioids (unauthorised), and others).’ Although medicinal cannabis is legal with a prescription in Australia, recreational use of cannabis is illegal in most Australian states and territories.

Job Demands and Resources

Respondents were asked to rate their satisfaction with efficiency and resources on a 4-point Likert scale (very dissatisfied to satisfied). Higher scores indicated higher satisfaction. To calculate hours of work, chiropractors reported the number of hours per week spent on patient care, administrative tasks, and other duties/responsibilities. Students indicated the number of hours per week they usually spend on coursework, training, education and other duties. Control over workload was measured on a 5-point Likert scale (poor to optimal), with higher scores indicating greater control over workload.

Analysis

Sample size estimates were based on the total number of chiropractors in Australia in 2024 (n = 6526) and chiropractic students (n = 1601).27 Using an online sample size calculator, we chose a 95% confidence level, 0.5 standard deviation, and a margin error of 5%. The sample size for a fully powered survey would be 363 chiropractors and 310 chiropractic students.

Study data were collected and managed using the REDCap electronic data capture platform hosted at Central Queensland University (CQUniversity).28,29 Data were analysed using STATAv17 (StataCorp LLC, College Station, TX). Due to the low sample size of chiropractic students, analyses were conducted using the full sample, with stratified results by career stage (chiropractor vs. chiropractic student) provided in Appendices 1 and 2.

Appendix 1.

Adjusted Multivariable Linear Regression Model: Burnout (student vs. chiropractor)

Variable Chiropractic Student Chiropractor

ββ (SE) 95% CI ββ (SE) 95% CI
Depression 0.14 (0.15) [−0.16, 0.44] 0.25*** (0.0) [ 0.12, 0.38]
Anxiety 0.04 (0.04) [−0.04, 0.13] 0.03 (0.02) [−0.00, 0.06]
Suicidal Ideation −0.12 (0.40) [−0.91, 0.66] 0.13 (0.29) [−0.43, 0.69]
Total Hours 0.00 (0.01) [−0.01, −0.02] 0.01 (0.00) [−0.00, 0.01]
Workload Control −0.27 (0.23) [−0.72, 0.18] −0.07 (0.06) [−0.18, 0.05]
Resources 0.01 (0.22) [−0.43, 0.44] −0.14 (0.07) [−0.29, 0.00]

ββ: unstandardised regression coefficients; SE: bootstrapped standard errors, CI = confidence interval [lower, upper];

***

p < .001.

Note: Adjusted model includes the covariates age and gender.

Appendix 2.

Multivariable logistic regression analyses: Job satisfaction (student vs. chiropractor)

Variable Chiropractic Student Chiropractor

OR (SE) 95% CI OR (SE) 95% CI
Depression 0.82 (0.90) [0.10, 7.10] 0.52* (0.14) [0.31, 0.89]
Anxiety 0.91 (0.34) [0.43, 1.91] 0.95 (0.07) [0.82, 1.11]
Suicidal Ideation 0.02 (4.24) [0.4, 4.0] 3.22 (3.17) [0.47, 22.10]
Total Hours 1.24 (0.17) [0.95, 1.61] 0.96 (0.02) [0.92, 1.01]
Workload Control 93.24 (277.68) [0.27, 31959.45] 1.50 (0.46) [0.82, 2.75]
Resources 637.50 (2868.43) [0.09, 4310049] 2.95** (1.21) [1.32, 6.59]

OR = odds ratio; SE = Standard Error; CI = confidence interval;

*

p < .05.

**

p < .01.

Adjusted model includes the covariates age, gender, and career stage. Note: due to model complexity and the smaller sample of the student population, including covariates age and gender was not feasible.

Descriptive statistics (mean, standard deviation, frequency distributions) for all key variables (burnout, job satisfaction, anxiety, depression, suicidal ideation, demands and resources) were generated and presented by two groups (chiropractors and chiropractic students). Multiple chi-square tests were conducted to determine the association between categorical demographic variables and the dependent variables. T tests were used to determine differences between the two groups of chiropractors and students for continuous data. Analysis of Variance (ANOVA) tests were used to determine associations between continuous dependent variables.

To determine the relationship between burnout or job satisfaction with psychological and job-related demands, two separate statistical models were conducted. A single multivariable linear regression model was conducted with burnout as the dependent variable and psychological functioning, and job resources and demands as the independent variables. A separate multivariable logistic regression model was conducted with job satisfaction as the dependent variable and psychological functioning, and job resources and demands as the independent variables. Covariates nested within the additional multivariable models included age, gender, and career stage (chiropractor vs. student). Both statistical models were bootstrapped with 1,000 resamples to produce robust estimates of the standard errors and confidence intervals.

Results

Descriptive Statistics

Two hundred and four responses were recorded; four were excluded due to incomplete data. The final sample comprised 152 registered chiropractors and 48 chiropractic students, representing 2.5% of the Australian chiropractic population. Table 1 presents the demographics of the participants and a summary of study variables stratified by chiropractors and chiropractic students.

Table 1.

Demographics of the sample: practising chiropractors versus chiropractic students.

Career Stage

Characteristic Full sample (N = 200) Chiropractor (n = 152) Chiropractic Student (n = 48) Difference
Gender n (%)
 Male 90 (45.5) 67 (44.1) 23 (50.0) X2 (1) = 0.50, p = .480
 Female 108 (54.5) 85 (55.9) 23 (50.0)
Age n (%)
 <31 70 (35.4) 34 (22.5) 36 (76.6) X2 (4) = 50.98, p < .001
 31–50 80 (40.4) 71 (47.0) 9 (19.1)
 >51 48 (24.2) 46 (30.5) 2 (4.3)
Disability n (%)
 Yes 39 (19.5) 29 (19.1) 10 (20.8) X2 (1) = 0.07, p = .789
State n (%)
 NSW 74 (37.0) 56 (36.8) 18 (37.5) X2 (7) = 16.06, p = .025
 QLD 63 (31.5) 43 (28.3) 20 (41.7)
 VIC 25 (12.5) 24 (15.8) 1 (2.1)
 SA 9 (4.5) 9 (5.9) 0 (0)
 ACT 3 (1.5) 3 (2.0) 0 (0)
 NT 1 (0.5) 1 (0.7) 0 (0)
 WA 22 (11.0) 13 (8.6) 9 (18.8)
 TAS 3 (1.5) 3 (2.0) 0 (0)
Length in Career Stage
 <5 years 32 (21.3) 32 (21.3)
 6 – 20 years 60 (40.0) 60 (40.0)
 >20 years 58 (38.7) 58 (38.7)
Practice Location n (%)
 Urban/Suburban 117 (78.0) 117 (78.0)
 Small Town/Rural 30 (20.0) 30 (20.0)
 Geographically isolated/remote 2 (1.3) 2 (1.3)
 Telehealth 1 (0.7) 1 (0.7)
Aboriginal or Torres Strait Islander n (%) 1 (0.5) 1 (0.7) 0 (0) X2 (1) = 0.317, p = .573
Job Satisfaction n (%) X2 (1) = 0.08, p = .778
 No 41 (20.6) 32 (21.1) 9 (19.1)
Suicidal Ideation n(%) X2 (1) = 0.61, p = .436
 Yes 24 (12.5) 17 (11.5) 7 (15.9)
Alcohol Use1,2 n (%) X2 (1) = 0.16, p = .687
 Yes 120 (61.2) 93 (62.0) 27 (58.7)
Stimulants Use2 n (%) X2 (1) = 1.74, p = .187
 Yes 13 (6.6) 8 (5.3) 5 (10.9)
Tobacco use2 n (%) X (1) = 1.26, p = .262
 Yes 14 (7.5) 9 (6.4) 5 (10.9)
Cannabis Use2 n (%) X (1) = 2.05, p = .152
 Yes 19 (9.7) 12 (8.1) 7 (15.2)
Opioids Use2 n (%) X2 (1) = 0.31, p = .577
 Yes 1 (0.5) 1 (0.7) 0(0.0)
Other Drug Use2 n(%) X2 (1) = 0.51, p = .476
 Yes 20 (10.3) 14 (9.4) 6 (13.0)
Burnout3 M4(SD5) 1.21 (0.89) 1.11 (0.91) 1.51 (0.76) T (198) = 2.78, p = .006
WE6 M(SD) 1.65 (1.12) 1.41 (1.05) 2.40 (1.00) T (198) = 5.48, p < .001
ID7 M(SD) 0.89 (0.85) 0.89 (0.88) 0.91 (0.76) T (196) = −0.32, p = .753
Depression8 M(SD) 1.35 (1.59) 1.21 (1.54) 1.77 (1.69) T (198) = 2.14, p = .033
Anxiety9 M(SD) 6.69 (5.60) 6.15 (5.59) 8.42 (5.35) T (198) = 2.48, p = .014
Total work hours10 M(SD) 40.71 (17.56) 36.83 (13.75) 52.99 (22.26) T (198) = 6.03, p < .001
Control over workload M(SD)11 2.46 (1.06) 2.64 (1.02) 1.87 (0.98) T (195) = −4.56, p < .001
Resources12 M(SD) 1.95 (0.75) 2.01 (0.76) 1.71 (0.68) T (179) = −2.33, p = .021
1

For men, five or more drinks in a day; for women, four or more drinks in a day,

2

Over the last 12 months,

3

Burnout: Professional Fulfillment (PFI) Scale (0–4 range: higher scores reflective of higher burnout),

4

mean,

5

standard deviation,

6

Work Exhaustion (PFI sub-scale) (0–4 scale: higher scores reflective of higher work exhaustion),

7

Interpersonal Disengagement (PFI sub-scale) (0–4 range: higher score reflective of higher interpersonal disengagement),

8

Depression: Patient Health Questionnaire-2(PHQ-2) (0–6 range: higher score reflective of higher depression symptoms),

9

Anxiety: General Anxiety Disorder-7 (GAD-7) (0–21 range: higher scores reflective of more anxiety symptoms),

10

Total hours of patient care, administrative tasks, course work, training, other duties,

11

1–5 range: higher scores reflective higher work control,

12

1–4 range: higher scores reflective of higher satisfaction with efficiency and resources.

This sample of chiropractors closely reflected the Australian chiropractic profession; however, with a higher proportion of females (54.5%) compared to the AHPRA 2023–24 data (42%).5 Students from chiropractic educational institutions participated from the states and territories of New South Wales (NSW), Queensland (QLD), Victoria (VIC), and Western Australia (WA), but no responses were received from South Australia (SA). (There are no chiropractic educational institutions currently in Tasmania (TAS), the Australian Capital Territory (ACT) and the Northern Territory (NT)). One chiropractor identified as Aboriginal or Torres Strait Islander (0.7%), consistent with national data. Thirty-nine individuals reported one or more disabilities, including mental health conditions (n = 18), neurodevelopmental disorders (n = 15), chronic conditions (n = 10), and others such as hearing and mobility impairments.

Using the PFI cut-off >1.3321,30,31 to indicate burnout, 76 individuals (38%) in the sample were classified as burnt out, including 26 chiropractic students (54.17%) and 50 chiropractors (32.9%). By career stage, 47% of chiropractors who had been practising for less than 5 years were classified as burnt out, 40% who had been in the field between 6 and 20 years were burnt out, and 16% of chiropractors who had been practising for over 21 years were classified as burnt out.

Most participants reported satisfaction with their job or training; however, 41 (20.6%) were neutral or dissatisfied. While only 12% of chiropractors who had been practising for over 21 years were dissatisfied with their jobs, 34% who were practising for less than 5 years reported job dissatisfaction. Depressive and anxiety symptom scores were negatively skewed, with 83 participants (41.5%) reporting no symptoms of depression. A score of > 3 indicated possible depression, with 12.5% participants overall screening positive.25 Clinically significant anxiety, defined by a GAD-7 score >10, was reported by 21% of the sample.24 In total, 24 participants (12.5%) reported experiencing thoughts of suicide in the past 12 months, including seven students and 17 practising chiropractors. Substance misuse over the past 12 months revealed 120 individuals (61.2%) exceeding recommended alcohol intake, 20 (10.3%) using other drugs, 19 (9.7%) using cannabis, 14 (7.5%) using tobacco, and 13 (6.6%) using stimulants. One individual reported opioid use.

Between Group Differences

Job satisfaction (X2 (1) = 0.08, p = .778) and suicidal ideation (X2 (1) = 0.61, p = .436), and drug and alcohol use did not statistically significantly differ between chiropractors and students. Chiropractic students had higher overall burnout scores compared to chiropractors (T(198) = 2.78, p = .006). While interpersonal disengagement scores did not differ (T(196) = −0.32, p = .753), work exhaustion scores were higher for chiropractic students (T(198) = 5.48, p < .001). Chiropractic students also had higher depression scores compared to chiropractors, and students showed higher anxiety scores compared to chiropractors. Students reported higher hours of work per week, less control over their workload and less satisfaction with efficiency and resources.

Preliminary Burnout Estimates

A multivariable linear regression model (Table 2) was conducted to examine whether depression, anxiety, suicidal ideation, job demands and resources were preliminarily associated with levels of burnout in Australian chiropractors and chiropractic students. The adjusted statistical model was statistically significant, F(10, 171) = 234.74, p < .001, explaining 59% of the variance in burnout (R2adj = 0.59). Higher depression and higher anxiety scores were associated with higher rates of burnout and sustained in the adjusted statistical model.

Table 2.

Multivariable linear regression models: burnout.

Variable Unadjusted Model Adjusted Model

ββ (SE) 95% CI ββ (SE) 95% CI
Depression 0.25*** (0.05) [0.14, 0.35] 0.26*** (0.05) [0.15, 0.36]
Anxiety 0.04*** (0.01) [0.01, 0.06] 0.03* (0.02) [0.00, 0.06]
Suicidal Ideation −0.01 (0.22) [−0.41, 0.44] 0.05 (0.22) [−0.38, 0.48]
Total Hours 0.00 (0.00) [−0.00, 0.01] 0.00 (0.00) [−0.00, 0.01]
Workload Control −0.11* (0.05) [−0.21, −0.01] −0.09 (0.05) [−0.20, −0.01]
Resources −0.09 (0.06) [−0.21, 0.03] −0.09 (0.06) [0.22, 0.03]

ββ: unstandardised regression coefficients; SE: bootstrapped standard errors, CI = confidenceinterval [lower, upper];

*

p < .05.

**

p < .01.

***

p < .001.

Adjusted model includes the covariates age, gender, and career stage.

Preliminary Job Satisfaction Estimates

A multivariable logistic regression model was conducted to preliminarily examine whether depression, anxiety, suicidal ideation, job demands and resources were associated with job satisfaction (0 = not satisfied, 1 = satisfied) in Australian chiropractors and students. Table 3 presents the unadjusted and adjusted statistical models. The adjusted logistic regression model was statistically significant (χ2 (10) = 58.84, p < .001), with McFadden’s pseudo R2 = 0.35. The variable efficiency and resources significantly contributed to the adjusted model (OR = 2.98, 95% CI [1.39, 6.39], p = .005), as did control over workload (OR = 2.03, 95% CI [1.14, 3.62], p = .016). The adjusted statistical model revealed a statistically significant association between depression and job satisfaction (OR = .60, 95% CI [0.39, 0.93], p = .022), indicating that individuals with higher levels of depression were less likely to report satisfaction with their jobs or training. The adjusted model identified no statistically significant association between anxiety, suicidal ideation, and total hours of work.

Table 3.

Multivariable logistic regression models: Job satisfaction

Variable Unadjusted Model Adjusted Model

OR (SE) 95% CI OR (SE) 95% CI
Depression 0.64* (0.14) [0.42, 0.97] 0.60* (0.13) [0.39, 0.93]
Anxiety 0.95 (0.06) [0.84, 1.08] 0.94 (0.06) [0.83, 1.08]
Suicidal Ideation 1.83 (1.54) [0.35, 9.55] 2.82 (2.62) [0.46, 17.42]
Total Hours 1.01 (0.02) [0.98, 1.04] 0.99 (0.02) [0.96, 1.03]
Workload Control 1.82* (0.50) [1.07, 3.10] 2.03* (0.60) [1.14, 3.62]
Resources 2.98** (1.12) [1.43, 6.21] 2.98** (1.16) [1.39, 6.39]

OR = odds ratio; SE = Standard Error; CI = confidence interval;

*

p < .05.

**

p < .01.

***

p < .001.

Adjusted model includes the covariates age, gender, and career stage.

Post-Hoc Sensitivity analysis

To investigate the difference between the student and clinician samples, both linear and logistic regression models were conducted in each sub-sample. For burnout, when results were stratified by chiropractor and student, chiropractors exhibited a statistically significant relationship with depression and burnout but not anxiety. In chiropractic students, no statistically significant results were found between any variables and burnout. For job satisfaction, when results were stratified by career stage, a statistically significant relationship was found between job satisfaction and the predictors depression and efficiency and resources. No statistically significant relationships were found between any of the predictors and job satisfaction in the student sample. This sensitivity analysis should be interpreted with caution due to the preliminary nature of these results and the smaller student sample.

Discussion

This study examined the well-being of Australian chiropractors and students, aiming to establish preliminary levels of burnout and job satisfaction within the Australian chiropractic profession. It offered insights into the psychological functioning, substance use, burnout and job satisfaction levels of those in the industry. The findings offer novel insights into the deployment of the National Chiropractic Mental Health Survey in an Australian setting and further reveal how socio-demographic factors and the chiropractic clinical work environment influence the well-being of Australian chiropractors.

Despite the relevance and importance of this study to the global chiropractic community6, our Australian response rate did not reflect this need and future research should carefully consider how to improve this. This survey has seen much higher response rates internationally despite similar communication plans being developed and implemented in Australia. The Australian chiropractic landscape reflects a fragmented professional association, compared to Canada or Denmark, where these associations represent >85% of the profession. Future research requires a more coordinated communication plan between stakeholders, educational institutions and professional bodies to engage chiropractors and chiropractic students in the importance of this work and professional sustainability.

Burnout levels among Australian chiropractors are comparable to those in other healthcare fields. During COVID-19, 29.5% of 320 Australian healthcare workers screened positive for burnout using the Professional Fulfilment Index (PFI), which was lower than 32.9% in our chiropractic sample.11 Partridge et al.’s literature review of burnout in the international chiropractic field identifies several chiropractic-specific factors contributing to burnout that may also be relevant for the Australian chiropractic community.6 These included working in acute settings, having a limited scope of practice, work-related injuries, business and administrative duties, and a negative public perception. Notwithstanding the small sample size, preliminary estimates suggest that chiropractic students may face an even higher risk of burnout, with over half classified as burnt out, similar to high-risk student groups such as medical and dental students.32 In addition to the stressors of studying in a health-related field, chiropractic students in Australia may experience internal conflict about their professional identity due to the divergent viewpoints regarding the identity, scope, and future of chiropractic practice.33,34 Whilst the profession progresses towards evidence-based care and prioritises research, there are still attempts to retain traditional chiropractic philosophy.33,34 Discrepancies within the profession’s approach to care can lead to confusion for students and early career chiropractors regarding their own professional practice and role identity.35 In appreciation of the complexity of these issues, researchers should consider exploring whether burnout may be influenced by cognitive dissonance resulting from the conflicting ideologies and divisions within the profession.34

Job satisfaction among chiropractors and students was generally high, consistent with that of Australian doctors who report job satisfaction levels exceeding 80%.36 As with physicians, early-career chiropractors may also experience greater dissatisfaction and burnout due to inexperience, reduced workload control, or increased interpersonal conflicts.14 The preliminary results indicate that many aspects of chiropractic practice are fulfilling and enjoyable, such as reducing patient pain and work variety. 37 However, this study identified at-risk groups, such as early-career chiropractors and students, where interventions and further research could be directed.

The well-being of Australian chiropractors and students was further explored by measuring psychological functioning alongside contributing factors such as drug use and socio-demographic factors. Continuing the trend of decreased well-being, students reported lower psychological functioning compared to chiropractors. Anxiety was more prevalent than depression, with levels aligning with findings in other healthcare students, who report higher mental health concerns than normative data.10,11 In this sample, 12.5% of individuals reported suicidal thoughts in the past 12 months, comparable to the 10% of Australian healthcare workers reporting thoughts of suicide or self-harm during the pandemic.38 Additionally, this study highlighted that a notable proportion of Australian chiropractors and students reported using alcohol and other substances in a way that contradicts health recommendations, raising concerns for patient safety.39

This study suggests a link between psychological functioning and burnout in Australian chiropractors. Higher depressive and anxiety symptoms were preliminarily associated with higher burnout scores for chiropractors. This aligns with existing research showing a bidirectional relationship between depression and burnout, where burnout is also a strong predictor of depression.11 While the two constructs are highly correlated, and it is agreed that they share overlapping symptoms, they remain distinct. Theoretically, burnout primarily affects work-related domains, whereas depression is more pervasive.3,17 However, real-world experiences are more complex. For example, researchers have found that many individuals who attribute feelings of burnout to their jobs also attribute their feelings of depression to their work.16 As an explanation for this overlap, depression, given its pervasive nature, can impact all aspects of life, including work, increasing one’s risk for burnout.40 As this is a cross-sectional study, it remains unclear whether individuals attributed their depression and anxiety symptoms to their work or the sequence in which they occurred. Despite their complex interrelation requiring further study, higher depressive and anxiety symptoms remain a risk factor for burnout in the Australian chiropractic profession.

This study identified that psychological functioning was also associated with job satisfaction, with higher depressive symptoms predicting lower job satisfaction, consistent with previous research.12 Low anxiety was not associated with job satisfaction in this sample; however, previous literature has indicated a conflicting impact of anxiety on job satisfaction, with some findings indicating a relationship between the two,12 while others do not.41 This further highlights the multifaceted nature of job satisfaction, which is influenced by numerous factors. 42,43

The role of job demands and resources on well-being in the chiropractic profession was highlighted in this study. The JD-R model provides a valuable framework for examining these influences. This study evaluated the resources and demands of chiropractors, examining their impact on burnout and job satisfaction.9 The job demand of higher total hours worked was found to be preliminarily associated with burnout. Job resources appeared more influential in whether chiropractors are satisfied with their job, with both efficiency and resources and control over workload associated with job satisfaction. These findings emphasise the role that job demands and resources have on experiences of burnout and job satisfaction. The impact of workload on burnout is well-documented, with the relationship being strongest when job control is low, highlighting the protective role of control over workload against burnout.44,45 For chiropractors in particular, job-specific demands such as physical workload, role ambiguity/conflict and public perception7 may further amplify stressors that health professionals may generally experience.

Further research on job demands and resources specific to chiropractors and students will have important implications for interventions. For example, introducing programs that promote efficiency and reduce excessive workloads has effectively lowered burnout in similar professions. 6 While many chiropractors, particularly those in private practice, benefit from autonomy, flexibility and workload control, these advantages may be less accessible to those employed by larger companies.37 Further, providing unified support to students entering a potentially conflicting workforce may assist early career chiropractors to develop their professional identity and evaluate and navigate conflicting ideologies in their workplace. Individually focused strategies that increase personal resources, such as mindfulness and relaxation techniques, have been shown to be effective in reducing anxiety, depression and burnout,10 as have organisational-based strategies which focus on reducing work hours and accessing peer support. 46

Strengths and limitations

This study provides valuable initial insights into the factors associated with burnout and job satisfaction among Australian chiropractors and chiropractic students. Still, its findings should be interpreted in light of several limitations. The sample size includes only 2.2% of Australian chiropractors and chiropractic students, which limits generalisability. Online surveys, although convenient, exclude potential participants who lack electronic devices. The study’s cross-sectional design limits the ability to draw causal inferences. While relationships between variables were identified, their directionality is not clear. Longitudinal studies could clarify whether these relationships are causal and interdependent. Further, reliance on self-reported data introduces potential biases, such as recall bias, selection bias (e.g., participants struggling with well-being may have been more likely to participate) and underreporting of undesirable behaviours due to social desirability. However, the survey’s anonymity likely mitigated these issues. Regardless, it is clear from the results that there are many chiropractors and chiropractic students experiencing symptoms of burnout, depression, anxiety, suicidal ideation and misuse of drugs and alcohol, justifying further investigation of this population.

Conclusion

This study offers preliminary insights into the well-being of Australian chiropractors and students, with a focus on burnout and job satisfaction. The findings of this study suggest that burnout levels in Australian chiropractors are comparable to those of other healthcare professionals, with students at an even greater risk. Levels of reduced psychological functioning were comparable to those of other healthcare professions. Higher depression and anxiety scores were preliminarily associated with higher levels of burnout, and higher depression predicted lower job satisfaction scores. The results of this study should promote investment from chiropractic educational institutions, government and industry bodies to invest in further research to identify the risk of burnout, job satisfaction and wellbeing, to ensure a healthy and stable chiropractic profession.

Acknowledgments

This study was conceptualised and co-led by the late Professor Gregory Kawchuk, whose passing is deeply felt by all involved. The authors acknowledge his profound knowledge, generous mentorship, and visionary leadership, which were instrumental in shaping this program of research. His contributions continue to inspire and guide our work.

Footnotes

Conflicts of Interest: The authors have no disclaimers, competing interests, or sources of support or funding to report in the preparation of this manuscript.

Contributions: Conceptualisation: DM; Methodology: DM, ZR, AD; Analysis: ZR, DM; Data Curation: ZR, DM, AD; Writing – Original Draft Preparation: ZR, DM; Writing – Review & Editing: ZR, DM, MF, KdL, AD.

Data Sharing: Access to de-identified data may be provided on reasonable request. Requests are subject to the establishment of appropriate data governance, and the approval of an independent and recognised human research ethics committee. Requests must be made in writing to ZR.

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