Associations between Lifetime Traumatic Events and Subsequent Chronic Physical Conditions: A Cross-National, Cross-Sectional Study

Abstract

Background

Associations between lifetime traumatic event (LTE) exposures and subsequent physical ill-health are well established but it has remained unclear whether these are explained by PTSD or other mental disorders. This study examined this question and investigated whether associations varied by type and number of LTEs, across physical condition outcomes, or across countries.

Methods

Cross-sectional, face-to-face household surveys of adults (18+) were conducted in 14 countries (n = 38, 051). The Composite International Diagnostic Interview assessed lifetime LTEs and DSM-IV mental disorders. Chronic physical conditions were ascertained by self-report of physician's diagnosis and year of diagnosis or onset. Survival analyses estimated associations between the number and type of LTEs with the subsequent onset of 11 physical conditions, with and without adjustment for mental disorders.

Findings

A dose-response association was found between increasing number of LTEs and odds of any physical condition onset (OR 1.5 [95% CI: 1.4–1.5] for 1 LTE; 2.1 [2.0–2.3] for 5+ LTEs), independent of all mental disorders. Associations did not vary greatly by type of LTE (except for combat and other war experience), nor across countries. A history of 1 LTE was associated with 7/11 of the physical conditions (ORs 1.3 [1.2–1.5] to 1.7 [1.4–2.0]) and a history of 5+ LTEs was associated with 9/11 physical conditions (ORs 1.8 [1.3–2.4] to 3.6 [2.0–6.5]), the exceptions being cancer and stroke.

Conclusions

Traumatic events are associated with adverse downstream effects on physical health, independent of PTSD and other mental disorders. Although the associations are modest they have public health implications due to the high prevalence of traumatic events and the range of common physical conditions affected. The effects of traumatic stress are a concern for all medical professionals and researchers, not just mental health specialists.

Introduction

A mounting body of research has documented associations between traumatic event exposures and poor physical health. Up until recently these associations have been considered to be mediated by posttraumatic stress disorder (PTSD)[1]. This mediation is highly plausible because PTSD and other mental disorders have been repeatedly associated with concurrent and subsequent poor physical health [2]–[6]. Despite this, the role of PTSD remains unclear, because although many studies have found PTSD to mediate associations between traumatic event exposures and physical health [7]–[14], other studies have suggested that trauma exposure has independent associations with physical health problems [15]–[22]. This question of whether traumatic stress is associated with increased risk of physical ill-health independently of PTSD has important implications for the mechanisms linking trauma and physical health and for treatment. At present it is generally assumed that these mechanisms hinge around PTSD and its biobehavioural effects [23], with the implication being that if PTSD is successfully treated, the adverse health impact of trauma will be ameliorated. However if traumatic events were confirmed as independent predictors of poor physical health outcomes, this would provide quite a different perspective on the scale of traumatic stress sequelae, given the much higher prevalence of traumatic event exposure than PTSD.

The discrepant findings on the role of PTSD may be attributable in part to how trauma exposure is measured. Studies finding independent effects of trauma exposure tend to be large, general population studies with measures of the full range of traumas experienced over the lifetime, in contrast to the studies finding an explanatory role for PTSD that have frequently focussed on a single specific trauma exposure like combat, sexual abuse or natural disaster. Taking lifetime trauma history into account is important because the experience of multiple trauma exposures is common [17], [24] and is associated with greater likelihood of and severity of PTSD symptoms [25]–[28], so the effects of PTSD become confounded with multiple traumatic exposures unless they are included in models as separate variables.

A second unresolved issue is whether some types of traumatic events are more ‘toxic’ in their effects than others. This remains unresolved because even among the studies with data on a wide range of traumas, the effect of trauma type has not always been examined [17], [22]. One exception was a recent study by Keyes et al. that found assaultive violence or other threats to physical integrity to be the only trauma types significantly associated with any of the medical conditions, but the study may have underpowered for this investigation [15]. More research with large enough samples is also needed to determine whether the effects of traumatic events vary across physical outcomes.

A third issue of interest is the nature of the relationship between the number of traumatic events and subsequent physical ill-health. Most studies investigating number of traumas have used a single continuous measure that assumes a linear effect [17], [21], [22]. By contrast, the study by Keyes et al.[15] discretized number of traumas into several categories and observed a J-shaped pattern whereby a small number of trauma exposures was associated with decreased odds of four out of the six physical conditions studied (not all associations were significant), but larger numbers of trauma exposures were associated with increased odds of the physical conditions._ENREF_13 This interesting finding is suggestive of a resilience-building effect of minimal (non-zero) traumatic event exposures [29] but it has not been examined in other studies on this topic to our knowledge.

Finally, the vast majority of prior research in this area has come from the US or similar countries. This makes it unclear whether prior findings can be generalized, as the severity and consequences of traumas may vary across countries [1], [12].

This study uses the data from 14 of the World Mental Health (WMH) Surveys to investigate these unresolved issues. The dataset contains retrospective information on lifetime traumatic event (LTE) exposures, mental disorder diagnoses and self-reported physician diagnoses of chronic physical conditions. Timing (year of occurrence/onset/diagnosis) information was also collected allowing survival analyses of the retrospective data to examine predictive associations between LTEs and the subsequent diagnosis or onset of physical conditions, independent of PTSD and other mental disorders. In this analysis our objectives were to examine: (i) whether there are associations between LTEs and physical conditions independent of mental disorders; (ii) whether associations vary by type and number of LTEs; (iii) whether the associations of LTEs with physical health vary by type of physical condition; (iv) whether associations vary across countries.

Methods

Samples and Procedures

Ethics Statement

All respondents provided written informed consent and procedures for protecting respondents were approved and monitored for compliance by the Institutional Review Boards in each country (see [31] for details).

All WMH surveys with requisite data were included in this analysis (see Table 1 for sample characteristics). A stratified multi-stage clustered area probability sampling strategy was used to select adult respondents (18 years+) in most WMH countries. Most of the surveys were based on nationally representative household (or population register) samples while Colombia and Mexico were based on nationally representative household samples in urbanized areas. The central WMH staff trained bilingual supervisors in each country. The WHO translation protocol was used to translate instruments and training materials. Some surveys were carried out in bilingual form while others were carried out exclusively in the country's official language. Measures taken to ensure data accuracy and cross-national consistency are described in detail elsewhere [30], [31].

Table 1. Characteristics of WMH samples and percent of respondents reporting lifetime traumatic events.

Country	Sample Size		Response Rate (%)	% reporting lifetime traumatic events						% with PTSD
	Part 1	Part 2 sub-sample		1	2	3	4	5+	Any
Americas
Colombia	4426	2381	87.7	21.5	17.1	13.2	9.9	19.0	80.6	1.5
Mexico	5782	2362	76.6	21.8	14.8	12.2	7.2	9.4	65.3	1.2
United States	9282	5692	70.9	22.8	17.7	13.6	8.2	17.1	79.4	5.9
Asia and South Pacific
Japan	4129	1682	55.1	23.8	16.4	7.9	3.9	4.2	56.1	1.2
New Zealand	12790	7312	73.3	25.4	17.2	12.9	7.3	13.2	75.9	5.7
Europe
Belgium	2419	1043	50.6	24.9	18.3	8.6	3.6	6.9	62.3	2.4
Germany	3555	1323	57.8	24.9	17.8	8.1	6.2	4.9	61.9	1.4
Italy	4712	1779	71.3	25.9	14.2	6.6	2.9	2.6	52.3	1.9
The Netherlands	2372	1094	56.4	27.2	14.8	8.7	4.6	6.1	61.4	3.9
Spain	5473	2121	78.6	27.6	10.4	6.8	3.0	1.8	49.5	1.7
Northern Ireland	4340	1986	68.4	21.6	14.1	7.7	6.1	7.8	57.3	8.2
Portugal	3849	2060	57.3	22.6	18.8	9.5	6.0	7.1	63.9	4.7
Romania	2357	2357	70.9	18.7	7.4	4.3	2.6	2.0	35.0	0.7
Middle East
Israel	4859	4859	72.6	26.8	18.8	12.1	6.6	7.5	71.8	1.4
All countries				24.1	16.0	10.6	6.2	9.6	66.4	3.5
Total sample size	70345	38051
Weighted average response rate (%)			68.7

In most countries, internal subsampling was used to reduce respondent burden and average interview time by dividing the interview into two parts. Part I of the interviews, which assessed core disorders, was completed by all respondents. Part II assessed additional disorders, including PTSD and physical conditions, and was completed by 100% of respondents who met criteria for any Part I disorder and a probability subsample of other Part I respondents. The Part II sample was used in this study. The Part I sample was weighted to adjust for differential probabilities of selection and residual discrepancies between sample and census on sociodemographic and geographic variables. The Part II sample was additionally weighted to adjust for undersampling of Part I respondents without Part I disorders, resulting in an unbiased sample. World Mental Health sampling and weighting are discussed in more detail elsewhere [31].

Measures

Mental disorders

All surveys used the WMH survey version of the WHO Composite International Diagnostic Interview (CIDI 3.0 [30]), a fully structured interview, to assess lifetime history of mental disorders including their age of onset. Disorders were assessed using the definitions and criteria of the DSM-IV. In addition to PTSD (asked about in relation to both a respondent's worst trauma and, in those with more than one traumatic event, a randomly selected trauma), other lifetime DSM-IV/CIDI disorders included in this paper are anxiety disorders (panic disorder, agoraphobia, social phobia, specific phobia, generalized anxiety disorder, obsessive compulsive disorder), mood disorders (major depressive disorder/dysthymic disorder, bipolar disorder), impulse control disorders (intermittent explosive disorder, bulimia, binge eating disorder) and substance use disorders (alcohol or drug abuse/dependence). As described elsewhere [32], blinded SCID clinical reappraisal interviews in several of the WMH countries documented generally good CIDI-SCID concordance, although the CIDI is conservative relative to the SCID for lifetime estimates.

Lifetime potentially traumatic events (LTEs)

The CIDI PTSD section began with questions about lifetime occurrence of 27 LTEs (see table). An additional open-ended question was asked about other types of traumatic event. A second open-ended question then asked about qualifying events that respondents did not report because of embarrassment. Wording was as follows: “[s]ometimes people have experiences they don’t want to talk about in interviews. I won’t ask you to describe anything like this, but without telling me what it was, did you ever have a traumatic event that you did not report to me because you did not want to talk about it?” Positive responses to these questions were recorded verbatim and reviewed subsequently by a clinician to confirm PTSD criterion A1 (that is, that the person has been exposed to a traumatic event involving actual or threatened death or injury). Additional questions were asked to determine the age at which they had first occurred and frequency of occurrence.

Chronic physical conditions

These were assessed with a checklist based on the US National Health Interview Survey. Respondents were asked whether they ever had a series of symptom-based conditions (e.g., chronic headaches, chronic low back pain) and whether a health professional had ever told them they had a series of medical conditions (e.g., cancer, hypertension). Previous methodological research has shown that such checklists yield reports that have reasonable to good concordance with diagnoses based on medical records [33], [34]. For all conditions reported, respondents were asked how old they were when they were first diagnosed with the condition (for the medical diagnoses) or first experienced the condition (for the symptomatic conditions). This year is referred to herein as the age of onset of these conditions, although it is recognized that the underlying pathology of these conditions usually develops over many years. Eleven conditions were included in this study as outcome variables with case numbers as follows (after exclusion of those people reporting life-threatening illness as the traumatic event): arthritis (n = 4857); chronic back or neck pain (n = 9353); frequent or severe headaches (n = 7898); heart disease (n = 1480); hypertension (n = 5262); asthma (n = 1231); diabetes (n = 1578); peptic ulcer (n = 2333); cancer (n = 477); other chronic lung disease (n = 468); stroke (n = 355). For all but three of these conditions (back/neck pain; headache; ulcer), only adult onset (21 years+) cases were classified as the outcome variables.

Statistical Analysis

Discrete-time survival models [35] with person-year as the unit of analysis were used to investigate sequential associations between a prior history of LTE (type and number) and the subsequent onset of ‘any physical condition’ as well as specific physical conditions. The discrete-time approach was chosen over the more traditional Cox proportional hazards approach for two reasons: because our information about the timing of the covariates was only available for discrete intervals of time (i.e., years of age); and because the discrete-time approach handles the use of multiple time-varying predictor variables, which is a feature of these models, much more easily than does the Cox modelling approach.

Eleven person-year data sets were created (one for each physical condition) in which each year in the life of each respondent up to and including the age of onset of the physical condition or their age at interview (whichever came first) was treated as a separate observational record, with the year of the onset of the physical condition coded 1 and earlier years coded 0 on a dichotomous outcome variable. Lifetime traumatic events were coded 1 from the year of their reported first occurrence. Only person-years up to the onset of the physical conditions were analyzed so that only traumatic events occurring prior to the physical condition onsets were included in the predictor set. Other covariates were coded as time invariant (e.g., gender, coded for each person year), or time varying (e.g. each specific mental disorder, coded 1 from year of onset). Respondents who reported life threatening illness or injury as their LTE were excluded from analysis. These data were analyzed using logistic regression models with the survival coefficients presented as odds ratios, indicating the relative odds of physical condition onset in a given year for a person with a history of a specific type or number of traumatic events, compared to people without that history. The odds ratios can be interpreted as survival coefficients because of the exclusion from the data array of person-years after the onset of the outcome.

For analyses where ‘any physical condition’ was the outcome variable, these eleven person year datasets were stacked into a single dataset, including a dummy variable that distinguished among the physical conditions. For these analyses, the effects of the predictor variables are forced to be the same across the eleven different physical conditions. Additional models were estimated with specific physical conditions as outcome variables using the relevant person-year dataset. A series of bivariate and multivariate models were developed including the predictor LTEs plus control variables and mental disorders. Models control for person-years, countries, gender, age-cohorts, years of education, and in the multivariate models, other LTEs and mental disorders. These models adjust for the lifetime history of all mental disorders occurring prior to the physical condition onset, not only those mental disorders occurring between the traumatic event and the physical condition onset. Traumatic event type models (using 14 categories derived from the original 29 events) and number models (number of event types experienced, with separate dummy variables for 1 event type, 2 event types and so on) were developed. More complex models including both type and number of LTEs were also estimated but the number models were the best fitting models (model fitting statistics available on request) so for subsequent analyses we only report the results from the number models. The number models were estimated for both number of individual events experienced (1–28, excluding life-threatening illness) and number of event types experienced (1–14). Results were virtually identical across these two sets of models and only the results from the number of event types models are reported here, but to avoid confusion (with the type models), we refer to the predictors in these models as number of events or number of LTEs.

As the WMH data are both clustered and weighted, the design-based Taylor series linearization [36] implemented in version 10 of the SAS-callable SUDAAN software system was used to estimate standard errors and evaluate the statistical significance of coefficients.

Results

Sample characteristics

The survey characteristics and the % of respondents reporting the occurrence of LTEs are shown in Table 1. Pooling across all surveys, 66.4% reported at least one LTE, ranging from 35% of respondents in Romania to 80.6% in Colombia. The experience of multiple LTEs was the norm: in all but one country (Spain) the majority of respondents who reported at least one LTE experienced more than one. Table 2 lists the 29 individual LTEs asked about and shows their aggregation into the 14 event subtypes used in the analysis.

Table 2. The potentially traumatic events assessed in the World Mental Health Surveys.

Event Subtypes	Individual Traumatic Events (29)
I. Combat Experience	Combat experience (military or non-military) in a war or sectarian violence (e.g. political, religious, or ethnic conflicts)
	Purposefully injured, tortured or killed someone
II. Other War Experience	Relief worker or peacemaker in war zone or region of sectarian violence
	Civilian in war zone
	Civilian in region of sectarian violence
	Dispatched refugee from a war zone or region of sectarian violence
	Witnessed attrocities or carnage
III. Physically abused as a child	Beaten up as a child by a caregiver
IV. Physically assaulted or threatened	Kidnappped or held captive
	Beaten up by someone else
	Mugged or threatened with a weapon
V. Physically assaulted or threatened by spouse or romantic partner	Beaten up by a spouse or romantic partner
	Stalked
VI. Sexually assaulted	Raped
	Sexually assaulted or molested
VII. Automobile accident	Life-threatening automobile
VIII. Other life-threatening accident	Toxic chemical exposure
	Other life-threatening accident
	Other exposure to a made disaster (e.g. fire explosion at a place of work)
	Accidentally caused injury or death to someone
IX. Natural disaster	Natural disaster (e.g., flood, hurricane, earthquake)
X. Life-threatening illness	Life threatening illness or injury
XI. Death	Unexpected death of a loved one
XII. Other PLE to a loved one	Life-threatening illness of a loved one
	Any other trauma experienced by a loved one
XIII. Witnessed a traumatic injury or death	Witnessed death/dead body or saw someone seriously hurt
XIV. Witnessed family violence as a child	Witnessed repeated physical fights at home as a child
XV. Other	Any other objectively qualifying experiences (respondents are asked to describe these experiences)
	Private experiences (respondents are explicitly told in advance that they will not be asked to describe these experiences)

Associations between type and number of LTEs with the subsequent onset of any physical condition

The bivariate associations shown in Table 3 reveal small to moderate associations between all LTE types (except combat experience) with any physical condition onset (averaging across all types of physical condition). In the next model shown in Table 3, the multivariate type model, the associations between specific LTE types and any physical condition are provided, adjusting for all other types of LTE. As noted above, most people experience multiple LTEs so it is not surprising that adjustment for this attenuates the associations for specific LTEs. Nonetheless all remain modestly associated with increased risk of the outcome with the exceptions of combat and other war experience which become associated with decreased risk of subsequent physical conditions. The test for variation in ORs indicates that these associations differ significantly from one another in magnitude (χ₁₅² = 141.2, p<0.05). The multivariate number model shown in Table 3 reveals a monotonic association between number of LTEs and any subsequent physical condition with ORs ranging from 1.5 to 2.6, with all categories significantly associated with physical ill-health.

Table 3. Bivariate and multivariate associations (odds ratios) between type and number of lifetime traumatic events and the subsequent onset of any physical condition.

Any physical condition onset	Bivariate Models1		Multivariate Type Model2		Multivariate Number Model3
	OR	(95% C.I)	OR	(95% C.I)	OR	(95% C.I)
I. Lifetime traumatic events: type
Combat Experience	1.0	(0.9–1.1)	0.9*	(0.8–1.0)	-	-
Other War Experience	1.1*	(1.0–1.2)	0.9*	(0.9–1.0)	-	-
Physically abused as a child	1.7*	(1.6–1.8)	1.3*	(1.2–1.4)	-	-
Physically assaulted or threatened	1.5*	(1.5–1.6)	1.2*	(1.2–1.3)	-	-
Physically assaulted or threatened by spouse or romantic partner	1.5*	(1.4–1.7)	1.2*	(1.1–1.3)	-	-
Sexually assaulted	1.6*	(1.5–1.7)	1.3*	(1.2–1.4)	-	-
Automobile accident	1.6*	(1.5–1.7)	1.3*	(1.3–1.4)	-	-
Other life-threatening accident	1.5*	(1.4–1.6)	1.2*	(1.1–1.3)	-	-
Natural disaster	1.4*	(1.3–1.5)	1.2*	(1.1–1.3)	-	-
Death	1.4*	(1.3–1.5)	1.2*	(1.2–1.3)	-	-
Other PLE to a loved one	1.4*	(1.3–1.5)	1.1*	(1.1–1.2)	-	-
Witnessed a traumatic injury or death	1.4*	(1.3–1.5)	1.2*	(1.1–1.2)	-	-
Witnessed family violence as a child	1.5*	(1.4–1.6)	1.2*	(1.1–1.3)	-	-
Other	1.3*	(1.3–1.4)	1.1*	(1.0–1.2)	-	-
Joint effect of all types of events, χ 2 14		-		919.0 *		-
Difference between types of events, χ 2 13		-		141.2 *		-
II. Lifetime traumatic events: number
1 event	-	-	-	-	1.5*	(1.4–1.6)
2 events	-	-	-	-	1.8*	(1.7–1.9)
3 events	-	-	-	-	2.0*	(1.9–2.1)
4 events	-	-	-	-	2.1*	(2.0–2.3)
5+ events	-	-	-	-	2.6*	(2.3–2.8)
Joint effect of number of events, χ 2 5		-		-		771.3 *

^*Significant at p<0.05 level, 2 sided test

¹Each trauma type was estimated as a predictor of the physical condition onset in a separate discrete time survival model controlling for person-years, age-cohorts, gender, country, education and type of physical condition.

²The model was estimated with dummies for all trauma types entered simultaneously, including the controls specified above.

³The model was estimated with dummy predictors for number of trauma types without any information about type of trauma, including the controls specified above.

In further analyses (data not shown but available on request) we examined whether associations between LTE (types and number) and physical condition onset varied by gender or age. We did not find substantive gender variation. In terms of age variation, we observed a consistent pattern of somewhat stronger associations between LTEs and physical condition onset among younger respondents compared to older respondents.

Association between the number of LTEs and any physical condition, with adjustment for mental disorders

Table 4 shows the effect of progressive adjustment for PTSD (second column), then all mental disorders (third column). The magnitude of associations between number of LTEs and any physical condition changes very little with adjustment for PTSD indicating that these associations are independent of PTSD. An additional analysis (not shown) found no difference in associations after including subthreshold PTSD symptoms. PTSD has an independent association (OR: 1.3) with any physical condition. Once all mental disorders are taken into account however, PTSD is no longer significant and the ORs for number of LTEs are attenuated slightly, mostly noticeably for 5+ events. Several of the mental disorders have small independent associations with the physical condition outcome.

Table 4. Multivariate associations (odds ratios) between the number of lifetime traumatic events and the subsequent onset of any physical condition, without and with adjustment for mental disorders.

Any physical condition onset	Multivariate Number Model1		Multivariate Number Model (Adjusted for PTSD)2		Multivariate Number Model (Adjusted for all mental disorders - type)3
	OR	(95% C.I)	OR	(95% C.I)		OR	(95% C.I)
I. Lifetime traumatic events: number
1 event	1.5*	(1.4–1.6)	1.5*	(1.4–1.6)		1.5*	(1.4–1.5)
2 events	1.8*	(1.7–1.9)	1.8*	(1.7–1.9)		1.7*	(1.6–1.8)
3 events	2.0*	(1.9–2.1)	2.0*	(1.8–2.1)		1.9*	(1.7–2.0)
4 events	2.1*	(2.0–2.3)	2.1*	(1.9–2.3)		2.0*	(1.8–2.1)
5+ events	2.6*	(2.3–2.8)	2.5*	(2.2–2.7)		2.1*	(2.0–2.3)
Joint effect of number of events, χ 2 5		771.3*		709.3*			575.9*
II. Lifetime mental disorders
Major depressive episode/dysthymia	-	-	-	-		1.2*	(1.1–1.2)
Bipolar disorder (broad)	-	-	-	-		1.1	(0.9–1.2)
Panic disorder	-	-	-	-		1.2*	(1.1–1.3)
Generalized anxiety disorder	-	-	-	-		1.1*	(1.0–1.2)
Social phobia	-	-	-	-		1.2*	(1.1–1.3)
Specific phobia	-	-	-	-		1.3*	(1.2–1.4)
Agoraphobia without panic	-	-	-	-		1.1	(0.9–1.2)
Post-traumatic stress disorder	-	-	1.3*	(1.2–1.4)		1.1	(1.0–1.2)
Obsessive compulsive disorder	-	-	-	-		1.3	(1.0–1.6)
Intermittent explosive disorder	-	-	-	-		1.2*	(1.1–1.4)
Binge eating disorder	-	-	-	-		1.2	(1.0–1.5)
Bulimia nervosa	-	-	-	-		1.3*	(1.1–1.6)
Alcohol abuse	-	-	-	-		1.2*	(1.1–1.3)
Alcohol dependence	-	-	-	-		1.0	(0.9–1.2)
Drug abuse	-	-	-	-		1.0	(0.9–1.1)
Drug dependence	-	-	-	-		1.1	(0.9–1.3)

^*Significant at p<0.05 level, 2-sided test.

¹The model was estimated with dummy predictors for number of trauma types without any information about type of trauma, controlling for person-years, age-cohorts, gender, country, education and physical condition type.

²The model was estimated with dummy predictors for number of trauma types without any information about type of trauma and additionally adjusted for PTSD, including the controls specified above.

³The model was estimated with dummy predictors for number of trauma types without any information about type of trauma and additionally adjusted for all mental disorders, including the controls specified above.

Associations between the number of LTEs and specific physical conditions, adjusted for all mental disorders

Table 5 shows a monotonic relationship between increasing number of LTEs and risk of most of the specific physical conditions that is independent of mental disorders, but there are exceptions. Those exceptions include high blood pressure and diabetes where at least 1 LTE is associated with the physical condition but there is no increasing risk of the condition with increasing number of LTEs. The other exceptions are cancer and stroke, where there is no significant association with LTEs and the condition. For stroke, although the individual OR for 5+events is significant, the lack of significant chi square value for the joint effect of number of events in this model means this single significant coefficient may not be reliable.

Table 5. Multivariate associations (odds ratios) between the number of lifetime traumatic events and the subsequent onset of specific physical conditions, adjusted for mental disorders¹.

Type of Physical Condition	1 event		2 events		3 events		4 events		5+ events		Joint effect of number of events, χ2 5
	OR	(95% C.I)	OR	(95% C.I)	OR	(95% C.I)	OR	(95% C.I)	OR	(95% C.I)
Arthritis	1.3*	(1.2–1.5)	1.4*	(1.2–1.6)	1.9*	(1.6–2.2)	1.8*	(1.5–2.1)	2.3*	(1.9–2.6)	156.3*
Back and Neck Pain	1.7*	(1.6–1.9)	2.3*	(2.1–2.5)	2.4*	(2.1–2.7)	2.4*	(2.1–2.8)	3.0*	(2.6–3.5)	526.8*
Frequent or Severe Headaches	1.6*	(1.5–1.7)	2.1*	(1.9–2.3)	2.3*	(2.0–2.6)	2.6*	(2.3–3.1)	2.5*	(2.1–2.8)	359.7*
Heart Disease	1.3*	(1.1–1.6)	1.4*	(1.1–1.8)	1.3	(1.0–1.7)	1.5*	(1.1–2.1)	2.2*	(1.6–3.1)	24.7*
High Blood Pressure	1.4*	(1.2–1.5)	1.3*	(1.1–1.4)	1.4*	(1.2–1.6)	1.4*	(1.2–1.7)	1.3*	(1.0–1.5)	45.8*
Asthma	1.3	(1.0–1.6)	1.4*	(1.1–1.8)	1.4*	(1.1–1.9)	1.8*	(1.2–2.7)	1.8*	(1.3–2.4)	15.4*
Diabetes	1.7*	(1.4–2.0)	1.5*	(1.2–1.9)	1.8*	(1.4–2.4)	1.9*	(1.4–2.5)	1.8*	(1.3–2.5)	40.5*
Peptic Ulcer	1.6*	(1.4–1.9)	2.1*	(1.7–2.5)	2.6*	(2.0–3.3)	2.5*	(1.9–3.3)	2.9*	(2.2–3.8)	94.0*
Cancer	1.1	(0.8–1.6)	1.2	(0.8–1.9)	1.2	(0.7–1.9)	0.8	(0.5–1.3)	1.3	(0.8–2.1)	3.7
Other Chronic Lung Diseases	1.1	(0.8–1.6)	2.3*	(1.5–3.4)	2.8*	(1.7–4.4)	3.0*	(1.8–5.0)	3.6*	(2.0–6.5)	42.8*
Stroke	1.3	(0.8–1.9)	1.6	(1.0–2.6)	1.1	(0.6–1.9)	1.2	(0.5–2.7)	2.4*	(1.3–4.6)	10.0

^*Significant at p<0.05 level, 2-sided test.

¹Each row represents a separate multivariate model and each model was estimated with dummy predictors for number of trauma types without any information about type of trauma, controlling for person-years, country, age-cohorts, gender, mental disorders and education.

Country-specific associations, adjusted for all mental disorders

The final table (6) depicts associations between number of LTEs and any physical condition independent of mental disorders, in each country. Although not all individual categories of LTE number are significant in all countries, all countries with the exception of Northern Ireland show significant associations between number of LTEs and physical ill-health. In all countries (apart from Northern Ireland) there is some indication of increasing strength of association with increasing number of LTEs.

Table 6. Multivariate associations (country-specific odds ratios) between the number of lifetime traumatic events and the subsequent onset of any physical condition, adjusted for mental disorders¹.

Any physical condition onset	1 event		2 events		3 events		4 events		5 events		Joint effect of number of events, χ2 5
	OR	(95% C.I)	OR	(95% C.I)	OR	(95% C.I)	OR	(95% C.I)	OR	(95% C.I)
Colombia	1.4*	(1.1–1.7)	1.9*	(1.6–2.3)	2.2*	(1.7–2.8)	2.4*	(1.8–3.3)	1.9*	(1.4–2.6)	73.4*
Mexico	1.3	(1.0–1.7)	2.5*	(1.9–3.3)	2.4*	(1.7–3.4)	3.2*	(2.1–4.9)	3.5*	(2.5–5.0)	85.5*
Germany	1.6*	(1.3–2.0)	1.9*	(1.3–2.7)	1.6*	(1.1–2.5)	1.3	(0.9–1.9)	3.1*	(1.8-5.5)	33.2*
Israel	1.4*	(1.2–1.5)	1.4*	(1.3–1.6)	1.5*	(1.3–1.7)	1.7*	(1.4–2.1)	2.0*	(1.6–2.5)	68.5*
Italy	1.5*	(1.2–1.8)	1.8*	(1.4–.2.3)	1.7*	(1.2–2.5)	1.6*	(1.0–2.6)	2.3*	(1.5–3.4)	46.6*
Japan	1.5*	(1.1–1.9)	1.7*	(1.3–2.2)	1.8*	(1.4–2.4)	2.1*	(1.4–3.0)	1.9*	(1.1–3.1)	35.8*
Belgium	1.7*	(1.3–2.3)	1.7*	(1.2–2.5)	2.6*	(1.6–4.2)	2.7*	(1.7–4.3)	2.6*	(1.4–4.6)	64.7*
Netherlands	1.4*	(1.0–1.8)	1.4	(0.9–2.1)	2.0*	(1.3–3.0)	1.0	(0.6–1.6)	2.3*	(1.3–4.0)	20.6*
New Zealand	1.5*	(1.3–1.7)	1.8*	(1.6–2.2)	1.8*	(1.5–2.1)	2.1*	(1.8–2.6)	2.4*	(1.9–2.9)	87.6*
Northern Ireland	1.3*	(1.0–1.5)	1.3	(0.9–1.7)	1.3	(0.9–1.9)	1.2	(0.8–1.8)	1.2	(0.8–1.9)	6.5
Portugal	1.6*	(1.3–1.9)	1.4*	(1.1–1.7)	1.8*	(1.3–2.7)	1.8*	(1.2–2.8)	2.0*	(1.2–3.2)	33.0*
Romania	1.4*	(1.2–1.7)	1.5*	(1.0–2.1)	1.9*	(1.3–2.9)	1.8*	(1.1–2.8)	1.4	(0.7–2.8)	45.3*
Spain	1.4*	(1.2–1.7)	1.9*	(1.5–2.5)	2.2*	(1.6–3.2)	1.1	(0.6–1.9)	1.1	(0.7–1.9)	50.1*
US	1.5*	(1.3–1.8)	1.9*	(1.6–2.1)	2.2*	(1.9–2.6)	2.2*	(1.8–2.8)	2.4*	(2.0–2.9)	185.6*

^*Significant at p<0.05 level, 2-sided test.

¹Each row represents a separate multivariate model for each country and each model was estimated with dummy predictors for number of trauma types without any information about type of trauma, controlling for person-years, age-cohorts, gender, mental disorders, physical condition types and education.

Discussion

In this cross-national study we sought to determine whether there were independent associations between lifetime traumatic event (LTE) exposures and the subsequent onset of a range of chronic physical conditions, after taking lifetime mental disorders into account. We found these associations between most types of traumatic event exposure and 9 out of 11 of the chronic physical conditions studied (cancer and stroke were the exceptions). Associations were independent of PTSD, although the lifetime experience of all mental disorders explained a small portion of the effects of multiple traumas. Several mental disorders had additive effects, but PTSD did not, once lifetime mental disorder history was taken into account. There was a dose-response association between number of LTEs experienced and likelihood of physical condition onset. Associations showed a high level of consistency across countries, with Northern Ireland being the one exception.

The observational nature of the study precludes conclusions regarding causality. To the extent that LTEs occur randomly, the associations are likely to be causal, but not all such events are random [37]–[39] and the resources available to individuals and communities for coping with traumas are also not randomly distributed. Our adjustment for education may not have fully accounted for possible socioeconomic differences between those with and without LTE exposures. Other limitations include the reliance on retrospective reports of LTEs, which may be susceptible to underreporting or change over time [40], [41], although this is less likely to occur in the case of events that are highly salient and occurring after childhood (as for most of the LTEs in this study). With regard to childhood LTEs, it is reassuring to note that a recent study found little difference in associations between prospectively versus retrospectively ascertained maltreatment and subsequent psychopathology [42].

It is also a considerable limitation that the medical conditions were assessed on the basis of self-report of diagnoses rather than independent verification by a medical practitioner. This limitation is mitigated somewhat by the generally good agreement between self-report of medical diagnoses and physician or medical record confirmation of those diagnoses[33] [34], and by the fact that age of onset or diagnosis of medical conditions has been found to be fairly accurate and reliable [43]. These data limitations mean that misclassifications of either predictors (LTEs) or outcomes (physical conditions) are likely to have occurred to some extent in this study. To the extent that these misclassifications are independent of each other (non-differential) they will have biased associations downwards, towards the null. It is also possible, though, that the associations we report could be biased upwards, for example if the LTEs with more severe consequences are more likely to be recalled or reported. It has also been suggested that there could be over-reporting of traumatic events among people with chronic physical conditions in an attempt to make meaning [44] of their disease. However, two aspects of the current results are inconsistent with this latter suggestion. First, the key result in this paper is of associations between traumatic events and physical conditions among those without mental disorder history, and it is those with mental disorders (depression specifically) who have shown bias in reporting of past trauma or negative life events [45], [46]. Second, there is a very strong perception among the lay public that stress contributes to cancer [47], and yet we observed no association between traumatic events and cancer.

One final source of bias in WMH survey samples that is important to note is that respondents may have better mental or physical health than non-respondents or may be biased due to differential selection out of the population through early mortality. We comment below where we think this survival bias may have been influential in our results.

This study also has significant strengths: it is based on a large, general population sample from multiple countries making the results widely generalizable; it uses consistently applied diagnostic measures of DSM-IV mental disorders; it contains lifetime history of traumatic event exposures; and it includes as predictors in the statistical models only those LTEs and mental disorders occurring prior to the onset/diagnosis of the physical condition. These strengths enable this study to document that traumatic event exposures are associated with subsequent physical ill-health even in the absence of PTSD (or any other mental disorders). This finding is consistent with the results of other recent studies with general population samples and measurement of lifetime trauma history [15], [17], [20]–[22]. This consistency, together with the large scale of this study, indicates that this finding of independent associations of LTEs with health outcomes is reliable. This is an important finding because it suggests that the effects of LTEs among those without mental disorders (who comprise the majority of those exposed to LTEs) reverberate for longer periods of time, and are more substantial, than has previously been appreciated. Although the associations are generally small in magnitude, this belies their public health significance which stems from the high prevalence of LTEs, the common experience of multiple traumas, the dose-response nature of the associations, and the range and prevalence of physical health conditions affected.

Behavioural pathways may be important mediators of these associations between LTEs and physical health. In reviews, smoking behaviour [48], problematic alcohol consumption [49], and sleep problems [50] have all been found to increase after traumatic event exposure, even among those without PTSD (although more so among those with PTSD). It is not clear how long these changes in health related behaviour last in those without PTSD or other mental disorders, but given the addictive nature of some poor health habits, it may be long enough to influence physical health, particularly in those with multiple event exposures which would prolong the periods of unhealthy behaviours. Non-behavioural biological pathways may also be involved. D'Andrea and et al.[51] review studies suggesting that those with trauma history but without PTSD show abnormalities in cortisol response, cardiovascular arousal and neurocognitive structure and function that are intermediate in degree between those with PTSD and those without trauma exposure. Because research on the consequences of traumatic stress has understandably focused on those with PTSD, it is not well documented how long lasting these biological or behavioural changes in those without PTSD may be. A further explanation that has been put forward to explain associations between trauma and physical ill-health among those without psychiatric distress is the possibility that some trauma-exposed individuals use coping mechanisms that involve some form of emotional inhibition or suppression, and that these coping styles have negative physical consequences [51]. It remains to be clarified whether such coping styles would be prevalent enough in the general population to help explain the results we present here. Further research on the mechanisms linking trauma and health among those without diagnosed mental disorders is clearly warranted.

This is one of the few studies to examine whether there was a difference in the effects of type of LTE after taking all event exposures into account. We found little difference in their relative effects, with the notable exception of combat experience and other war experience which were associated with reduced odds of subsequent physical ill-health. This finding may seem at odds with the many studies documenting later physical poor health in combat veterans [3], [52]–[54]. However, many of those studies have either focused on veterans with PTSD (ie, not the effects of combat experience per se), or have lacked a control group of non-veterans. Our finding of reduced risk of chronic physical conditions associated with prior combat experience could reflect a selection effect, whereby combat participants are screened for physical and psychological health (the so-called ‘healthy warrior’ effect [54]). It may also reflect the ongoing medical attention veterans receive in some countries allowing early biomarkers for some chronic diseases to be picked up and preventive measures put in place. Both this association with combat experience and the similar association we have observed for other war experience may also reflect survival biases [54].

We found that LTEs were associated with almost all the physical conditions we studied, with the exception of cancer and stroke. The null finding for cancer is consistent with the lack of strong evidence from prior prospective studies of associations between stress exposures and cancer incidence [55], [56]; although this is a controversial area [56] with conflicting findings [57], [58]. With regard to stroke, although there is some evidence from prior studies of an association between self-reported stress and stroke [59], it appears to be stronger or more consistent for fatal rather than non-fatal stroke [60], [61], which may explain why we did not find an association with stroke in this study. That said, our case numbers were smaller for stroke than for most other physical conditions and we cannot rule this out as a contributing factor to the lack of significant association.

Stress and trauma have longstanding associations with medically unexplained symptoms and somatization [62]–[64]. Somatization has been proposed to vary culturally and to be one explanation for lower rates of mental disorders in Asian and some low income countries [65], [66]. Given this background, it is interesting that we found these trauma-physical health associations to be quite consistent across countries. This may be attributable to the fact that most of the physical condition outcomes we studied were not of the ‘medically unexplained’ type. However, we were only able to investigate 14 countries, many of which are high income countries with somewhat similar cultural heritage, so further cross-national study with a wider variety of countries would be useful.

In summary, in this large cross-national study we found that LTEs were experienced by majority of the population and that the majority of those experiencing LTEs experienced multiple events. Elevated risk of physical ill-health was associated with a single traumatic event exposure and accrued with more events experienced. This risk was not confined to those who developed PTSD or other mental disorders, although those with a history of mental disorders were at highest risk of physical consequences from traumatic stress. A wide range of LTEs were associated with a wide range of health outcomes, independent of mental disorders, in 13/14 countries. From these findings we conclude that although the vast majority of those who experience traumatic events do not develop mental disorders, in this group the downstream effects of these events on physical health may be more substantial and persistent than previously understood. The effects of traumatic stress are therefore a concern for all medical professionals and researchers, not just mental health specialists.

Funding Statement

The World Health Organization World Mental Health (WMH) Survey Initiative is supported by the National Institute of Mental Health (NIMH; R01 MH070884), the John D. and Catherine T. MacArthur Foundation, the Pfizer Foundation, the US Public Health Service (R13-MH066849, R01-MH069864, and R01 DA016558), the Fogarty International Center (FIRCA R03-TW006481), the Pan American Health Organization, Eli Lilly and Company, Ortho-McNeil Pharmaceutical, GlaxoSmithKline, and Bristol-Myers Squibb. The authors thank the staff of the WMH Data Collection and Data Analysis Coordination Centres for assistance with instrumentation, fieldwork, and consultation on data analysis. The Colombian National Study of Mental Health (NSMH) was supported by the Ministry of Social Protection, with supplemental support from the Saldarriaga Concha Foundation. The European surveys were funded by the European Commission (Contracts QLG5-1999-01042; SANCO 2004123; EAHC 20081308), the Piedmont Region (Italy), Fondo de Investigación Sanitaria, Instituto de Salud Carlos III, Spain (FIS 00/0028), Ministerio de Ciencia y Tecnología, Spain (SAF 2000-158-CE), Departament de Salut, Generalitat de Catalunya, Spain, Instituto de Salud Carlos III (CIBER CB06/02/0046, RETICS RD06/0011 REM-TAP), and other local agencies and by an unrestricted educational grant from GlaxoSmithKline. The World Mental Health Japan (WMHJ) Survey was supported by the Grant for Research on Psychiatric and Neurological Diseases and Mental Health (H13-SHOGAI-023, H14-TOKUBETSU-026, H16-KOKORO-013) from the Japan Ministry of Health, Labour and Welfare. The Mexican National Comorbidity Survey (MNCS) was supported by The National Institute of Psychiatry Ramon de la Fuente (INPRFMDIES 4280) and by the National Council on Science and Technology (CONACyT-G30544- H), with supplemental support from the PanAmerican Health Organization (PAHO). The Israel National Health Survey is funded by the Ministry of Health with support from the Israel National Institute for Health Policy and Health Services Research and the National Insurance Institute of Israel. Te Rau Hinengaro: The New Zealand Mental Health Survey (NZMHS) was supported by the New Zealand Ministry of Health, Alcohol Advisory Council, and the Health Research Council. The Portuguese Mental Health Study was carried out by the Department of Mental Health, Faculty of Medical Sciences, NOVA University of Lisbon, with collaboration of the Portuguese Catholic University, and was funded by Champalimaud Foundation, Gulbenkian Foundation, Foundation for Science and Technology (FCT) and Ministry of Health. The Romania WMH study projects “Policies in Mental Health Area” and “National Study regarding Mental Health and Services Use” were carried out by National School of Public Health & Health Services Management (former National Institute for Research & Development in Health, present National School of Public Health Management & Professional Development, Bucharest), with technical support of Metro Media Transilvania, the National Institute of Statistics – National Centre for Training in Statistics, SC. Cheyenne Services SRL, Statistics Netherlands and were funded by Ministry of Public Health (former Ministry of Health) with supplemental support of Eli Lilly Romania SRL. The US National Comorbidity Survey Replication (NCS-R) is supported by the National Institute of Mental Health (NIMH; U01-MH60220) with supplemental support from the National Institute of Drug Abuse (NIDA), the Substance Abuse and Mental Health Services Administration (SAMHSA), the Robert Wood Johnson Foundation (RWJF; Grant 044708), and the John W. Alden Trust. A complete list of all within-country and cross-national WMH publications can be found at http://www.hcp.med.harvard.edu/wmh/. Additional funding was provided through a grant from the Health Research Council of New Zealand to Kate M. Scott. Dr. Scott takes full responsibility for the integrity of the data analysis. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.