The present cross-sectional survey of adult refugees from Syria recently resettled in Norway is one of only a few studies investigating the burden of chronic pain (CP) and how it relates to mental ill health in a general refugee population. The study found high levels of CP and clear associations between CP and mental ill health (i.e. anxiety, depression and PTSD). Being a woman was associated with higher odds of CP and there was some evidence that gender acted as an effect modifier in the links between mental ill health and functional impairment (FI). Specifically, findings suggested a strong association of anxiety and PTSD with functional impairment in men, though not in women.
The prevalence of CP in the present sample, estimated at 43.1%, is moderately higher than that found by Strømme et al. in their studies on resettled adult refugees from Syria in Norway, where CP was reported by about 30% of participants both at baseline and follow-up one year later (26). One possible explanation for this difference is that the study by Strømme et. al. measured CP with a single item whereas our measure was more comprehensive. Another possible explanation is the higher degree of exposure to potentially traumatic experiences (PTEs) and elevated levels of mental ill health in our sample compared with the sample in Strømme et. al. Our collaborating project in Sweden, with very similar study population, methodology and prevalence estimates of mental ill health (62, 65), however, also found that close to 30% of participating refugees experienced pain/discomfort at moderate/severe/extreme levels. Though, in the Swedish survey, pain was also measured by a single item from the standardized EQ-5D questionnaire developed by the EuroQol Group (66). Furthermore, the EQ-5D item does not specify any body region and asks about pain today – i.e. the chronicity of pain is not investigated. Perhaps of some comparative value, another large study on Syrian refugees in Turkey found that almost 40% reported pain causing distress in both “arms, legs or joints” and “back” based the PHQ-15 (27). However, the questionnaire-based level of anxiety differed slightly from our sample (34.7% vs. 30.1% respectively), and the levels of depression and PTSD were notably lower (36.5% vs. 45.2% and 19.6% vs. 29.7%, respectively). Our estimate for CP is considerably lower than estimates from studies on clinical or torture-exposed samples of refugees, which typically lie between 60% and 90% (21, 22, 24, 28, 67). However, the prevalence of severe CP among those reporting exposure to torture in our study (n = 231) was 57.8% (not shown in tables). As pain is a known long-term sequela of torture (e.g. 35), higher levels of CP among torture-exposed refugees is unsurprising.
Interestingly and importantly, the percentage with severe musculoskeletal pain/complaints (i.e. the first five items of the CP measure) in our study was markedly higher than that found for the Norwegian general population using the “identical” measure: 35.2% vs 15.8% (see Additional file 1). Since one item, “pain in other regions”, was left out in our study, the true difference is likely even larger. Part of the reason for the notably higher prevalence in refugees may be related to poor transcultural construct validity of the instrument used to measure pain – i.e. “pain” may be understood and communicated differently in different cultures, including in Syrians (68, 69). Another possible and related reason given local idioms of distress and social pressures against expressing negative feelings, is that the high level of pain reflects a more culturally acceptable expression of distress (12). Alternatively, it represents a fairly accurate and transculturally valid prevalence of chronic musculoskeletal pain as conceptualized and operationalized in the measure used to operationalize pain in the present study. Given the known and strong links between pain and psychopathology (e.g. 4) and the high levels of mental ill health in the study population as highlighted above, this is likely at least partially true. Furthermore, 38.0% of the sample reported having experienced physical violence, torture and/or sexual violence, which is known to be associated with subsequent pain (34, 35). Additionally, during the civil war and during their flight to Norway, most refuges will not only have been without adequate access to health care and medicine but also, for many, adequate nourishment and rest. This might increase the risk of a variety of acute and chronic illnesses including musculoskeletal pain. Tying into a greater debate on how traumatic stress, and in particular chronic or continuous traumatic stress (CTS), is linked to pain in more resource poor settings, the high prevalence of pain in our study may be a consequence of high levels of CTS in the study population (70). That is, as stress caused by pre- and peri-migratory traumatic experiences is compounded by stress from a range of well-known adverse social conditions in the post-migratory environment such as financial hardship, unemployment, discrimination and weak social networks, the overall allostatic load may exceed coping capacities, with resultant consequences for health – e.g. elevated levels of pain (71, 72). This resonates well with the currently dominating ecological/holistic approach to refugee health. This approach emphasizes the importance of investigating and addressing the full range of factors known to impact health: past trauma history, daily stressors and the disruption of psychosocial systems in the post-migration environment, and the interplay between them (18, 73). A few recent studies have exploratively used biomarkers (e.g. hair cortisol levels) to assess stress/allostatic load when investigating mental ill health in refugee populations, with promising results (74, 75). Given some of the inherent limitations of using self-report questionnaire data (e.g. information/recall bias), and that these limitations are likely exacerbated when working across languages, cultures and idioms of distress, the use of biomarkers could represent an interesting option for future research.
The strong association between mental ill health and CP in the present study is consistent with a large body of prior evidence from non-refugee populations (3–8) and a number of studies on torture-exposed refugees and refugees in treatment (24, 40, 42). It is also consistent with a biopsychosocial approach to pain in which physical disorders such as pain is seen to result from a dynamic interaction among physiologic, psychological and social factors (76). Very few prior studies on this topic exist on general refugee populations, adding to the uniqueness of the present study. The only study we are aware of, found relatively strong associations between CP and anxiety/depression and PTSD symptoms among resettled adult Syrian refugees in Norway (36). If comparative evidence is broadened to also include studies on somatic distress, where pain is a key component, several recent, large studies on refugees and internally displaced people have documented strong links between symptoms of anxiety, depression and PTSD and somatic distress (27, 37, 38). The clear reductions in the ORs when going from crude to fully adjusted models for all mental ill health variables in Table 3, suggests the associations between these variables and CP are overlapping, which is unsurprising given their known comorbidities. Nonetheless, each mental ill health variable was statistically significantly associated with CP in the fully adjusted model, suggesting a unique association above and beyond shared ones. Methodologically, comparing ORs across models with different predictors is not unproblematic due to scaling effects (77), thus this argument needs to be interpreted with caution. Our finding that being a woman was associated with increased risk of CP is consistent with prior evidence both in refugee (e.g. 27,37) and non-refugee populations (e.g. 44,45).
The mean value for perceived general health (PGH) in this study (3.614, SD = 1.063) was statistically significantly lower (though not necessarily clinically meaningfully lower) than that reported in a large study on general, adult (> 15 years), populations across 26 European countries using the identical instrument (p < 0.001), where the mean value was 3.724 (SD = 0.968) (78). Since refugees in our study were significantly younger that in the European study (mean age 38.9 vs. 48.5 years), and given the strong negative association between age and PGH, the age-standardized difference is likely notably larger. The proportion in our study who reported “fair/poor/very poor” PGH was 39.9%, which is slightly higher than that reported in a longitudinal study on resettled refugees (primarily of Middle eastern origin) in Australia, which found this percentage to be 35.7% at baseline (79). However, the scoring scale for PGH had six levels vs. five in our study. An interesting finding from the regression analyses on PGH was the weak evidence of association between the mental ill health variables and PGH after controlling for CP. This implies a high degree of overlap between the associations of mental ill health and CP with PGH, even if a moderately strong unique association was found between PTSD and PGH in the fully adjusted model. The strong association between CP and PGH is broadly in line with a study on female Yazidi refugees exposed to violence by the “Islamic State”, which found pain to be a strong predictor of overall health-related well-being (31).
The proportion of refugees who reported at least some degree of functional impairment (FI) due to longstanding illness in our study (34.9%) is fairly consistent with another study on resettled adult refugees from Syria in Norway, which found this proportion to be around 30%, both at baseline and one year later (26). A similar estimate (35.8%) was also found in the aforementioned Australian study (79), though the measurement used also included long term injury/health conditions (i.e. the focus was not on FI per se). Our finding that CP was strongly associated with FI in the fully adjusted model which included mental ill health, is broadly congruent with other studies on refugees (37, 42), though these studies investigated somatic distress and not CP. One important and hitherto unique finding in our study was that the associations between mental ill health and FI were highly gender specific, with a clear association in men, but none in women. We are unable to relate this directly to existing literature, though prior studies have highlighted the importance of taking a gendered perspective when exploring refugee mental health (47–49). Part of the explanation for this gender specificity may relate to the aforementioned tendency for mental ill health, or, specifically anxiety, to be more strongly linked to CP in women than men in our study. That is, when FI is regressed on both CP and mental ill health for women, any adverse associations of mental ill health may be too overlapping with that of CP to show a unique association. However, the tendency for gender-specific associations was also present in the partially adjusted models (without mental ill health), even if the statistical evidence from Wald test of interaction was weaker. Another possible explanation is that the gendered association may be related to differences in expected and actual daily tasks and demands for men and women given traditional gender roles in Arab culture (80). This is supported by the fact that 35% of men versus 12% of women in our study reported having paid employment at the time of the survey (result not published). In other words, significantly more men than women presumably had to leave the house and socially interact, which could amplify the known debilitating effects of anxiety and PTSD.
Limitations and strengths
A key and potentially serious limitation with the present study is selection bias. With a response rate of 10%, it is hard to gauge the generalizability of findings. In general, predictor-outcome associations are thought to be more robust to nonresponse than prevalence estimates (81), though we cannot exclude that selection bias has distorted results. The issue of selection bias in the present study has been addressed in previous papers (64, 65). Another limitation concerns the validity of the instruments used in a population of adult refugees from Syria. We have already discussed transcultural construct validity relating to how pain was measured, and the issue of validity is also relevant for the HSCL-25 and HTQ scales, even if both scales have been used extensively with refugee populations and psychometrically tested. Evidence is somewhat incongruent as to the cultural appropriateness and validity of the scales across settings and populations (59, 82). Overall, it appears that both scales are fairly robust across cultures in terms of content validity (configural invariance), however, their metric and scalar invariance have been questioned (83). Given that the present study focuses on the overall constructs of anxiety, depression and PTSD and their associations with chronic pain, rather than investigating individual items/clusters or prevalence, problems caused by scalar and matric invariance should be limited. Nonetheless, all mental ill health variables were modelled dichotomously based on cut-off scores. A further limitation concerns the cross-sectional design of the data, which prohibits causal interpretations. It is highly likely that CP and mental ill health are causally related, thus when placing both in the same regression model, there is a chance of overadjustment bias (84). For example, if anxiety leads to elevated levels of perceived pain because of shared physiological pathways (85), part of the “true” adverse effect of anxiety on PGH may be masked by overadjustment. Moreover, the association between anxiety and FI in men could be because men with FI get anxious if they cannot fulfil their role as breadwinner, rather the other way around. Lastly, since regression models were built with data at hand, without detailed pre-registered plans for data-handling and analyses, finding should be viewed as partly exploratory, with the associated risk of false-positive findings (51, 86).
Strengths of the study include the random sampling from total-population registries; the fairly thorough assessment of CP compared to available evidence, and the use of well-known and frequently used instruments to measure mental ill health (despite the abovenoted lingering issues of transcultural validity).