Skip to main content

Cross-cultural adaptation and psychometric properties of the Thai version of the patient-reported outcomes measurement information system short form– depression 8a in individuals with chronic low back pain

Abstract

Background

The study aimed to cross-culturally adapt the Patient-Reported Outcomes Measurement Information System Short Form v1.0 - Depression 8a (PROMIS SF v1.0 - Depression 8a) into Thai and evaluate its psychometric properties in individuals with chronic low back pain (CLBP).

Methods

The PROMIS SF v1.0– Depression 8a was translated and cross-culturally adapted into Thai using the Functional Assessment of Chronic Illness Therapy translation methodology. Two hundred and sixty-nine individuals with CLBP completed the Thai version of PROMIS SF v1.0– Depression 8a (T-PROMIS-D-8a) scale and a set of measures assessing validity criterion domains. Structural validity, internal consistency, and test-retest reliability at a 7-day interval of the T-PROMIS-D-8a scale were computed and its construct validity was evaluated by computing correlations with the Thai version of Patient Health Questionnaire-9 (T-PHQ-9), Numeric Rating Scale of pain intensity (T-NRS), and Fear Avoidance Beliefs Questionnaire (T-FABQ).

Results

Data from 269 participants were analyzed. Most participants were women (70%), and the sample had a mean age of 42.5 (SD 16.6) years. The findings supported the unidimensionality, internal consistency (Cronbach’s alpha = 0.94), and test-retest reliability (ICC [2,1] = 0.86) of the T-PROMIS-D-8a. A floor effect was observed for 16% of the sample. Associations with the T-PHQ-9, T-NRS, and T-FABQ supported the construct validity of the T-PROMIS-D-8a.

Conclusions

The T-PROMIS-D-8a was successfully translated and culturally adapted. The findings indicated that the scale is reliable and valid for assessing depression in Thai individuals with CLBP.

Background

Chronic musculoskeletal pain is common and often disabling health condition, with a prevalence rate ranging from 11 to 36% [1, 2]. In Thailand, chronic low back pain (CLBP) affects about 27–30% of the population [3, 4]. CLBP is not only the leading cause of disability, but also reduces quality of life and work productivity, causing considerable economic burden to both individuals and society [5,6,7]. Previous research has indicated that individuals with CLBP had higher rates of emotional distress than those with acute low back pain and with general population [6, 8, 9].

Research supports a biopsychosocial model of chronic pain, which argues that pain and its impact are influenced by complex interactions between biological, psychological, and social factors [10]. Depression is one of the psychological factors that has been shown to play an important role in the progression and persistence of chronic pain [11, 12]. Approximately 20–25% of individuals with CLBP meet criteria for depression [9, 13, 14], and depression is significantly associated with higher pain severity, disability, worse recovery, and greater healthcare utilization in individuals with CLBP [15,16,17]. Previous research has also shown that early detection of depression and comprehensive treatments results in improved clinical outcomes [18, 19]. Therefore, depression should be routinely assessed in those with CLBP to inform treatment and maximize quality of life.

Commonly used measures of depression in research and clinical settings include the Beck Depression Inventory-II (BDI-II), the Center for Epidemiological Studies Depression Scale (CES-D), and the Patient Health Questionnaire (PHQ-9) [20]. These measures were developed using a classical test theory and contain items assessing the cognitive, affective, and somatic symptoms of depression (i.e., sleep, fatigue, and appetite) [21]. More recently, investigators have used Item Response Theory (IRT) to develop a number of patient-reported outcome domains, including depression [22, 23]. This effort has resulted in items that can be administered either via Computed Assisted Testing or as fixed-length static short forms. An 8-item short form (PROMIS SF v1.0 - Depression 8a) is commonly used. The eight items of this scale assess cognitive and affective depression symptoms, but exclude items assessed the somatic symptoms of depression, as these symptoms overlap with those associated with chronic pain. This makes the PROMIS SF v1.0– Depression 8a scale particularly useful for assessing depression in individuals with health conditions by reducing the influence of somatic symptoms on the final score [22, 24, 25]. The original English version of PROMIS SF v1.0 - Depression 8a shows strong psychometric properties, including reliability and validity [26,27,28].

The availability of translated versions of the PROMIS SF v1.0 - Depression 8a scale would be beneficial. The existence of multiple translations makes it possible to conduct cross-language, cross-country, and cross-cultural research on the role of depression in different health conditions, including chronic pain. Valid and reliable translations of the PROMIS SF v1.0 - Depression 8a would also allow for direct comparisons between individuals from different countries and who speak different languages with respect to the presence, severity, and correlates of depression across different cultures. Currently, there are several translated versions of PROMIS SF v1.0 - Depression 8a scale available. However, there is not yet a Thai language version of this scale. The purpose of the present study was to address the need for a Thai version of the PROMIS SF v1.0 - Depression 8a by translating the original version into Thai, and then evaluating its psychometric properties in individuals with CLBP.

Methods

This study uses data from a survey which has also contributed data for another paper [29]. However, the other paper focused on presenting findings related to the translation and psychometric properties of other measures. This paper focuses on the translation and psychometric properties of the PROMIS SF v1.0 - Depression 8a scale. The current project was conducted in two phases. In the first phase, the English version of PROMIS SF v1.0 - Depression 8a was cross-culturally translated into Thai. In the second phase, we examined the psychometric properties of the resulting scale in a sample of individuals with CLBP. Ethical approval for the study was obtained from the Research Ethics Review Committee for Research Involving Human Research Participants, Health Sciences group, Chulalongkorn University (COA No. 097/65 and 208/65). Prior to data collection, each participant provided informed consent.

Phase 1: Cross-cultural translation and adaptation

To develop a culturally appropriate translation, the Functional Assessment of Chronic Illness Therapy (FACIT) translation methodology was selected for this study [30]. The 11 FACIT steps are listed and described below:

Forward translation

The English version of the PROMIS SF v1.0 - Depression 8a was translated into the Thai version by two professional translators who are native Thai speakers. They were instructed to use appropriate and simple language appropriate for Thai culture.

Reconciliation

A third bilingual Thai translator reviewed the first two translations and suggested reconciliations of any differences found in those translations to produce a third translation. This translator documented the reasons for all decisions made.

Back-translation

A fourth translator who was a native English speaker and also fluent in Thai language performed a back-translation of the reconciled version into English. This translator did not have access to, nor did they have knowledge of, the original version, and was instructed to use simple language to capture the key meaning of the items.

Back-translation review

A native English speaker (MJ) who had experience with the English version of the PROMIS SF v1.0 - Depression 8a scale reviewed the back-translated instructions and items to evaluate how well these reflected the meaning of the original. The Translation Project Manager (PJ), who was a physical therapist and a native Thai speaker, provided comments on the differences between the back-translated version and the original version to ensure equivalent meaning.

Expert reviews

Three Thai health professionals in physical therapy who were native Thai speakers independently reviewed the results of each of the previous steps, and then selected the most appropriate translation for each item or provided alternative translations if needed.

Pre-finalization review

The Translation Project Manager (PJ) reviewed the results from each of the previous steps, identified problems and made comments on the step 5 translation to guide the Thai Language Coordinator (RK) to the next step.

Finalization

The Language Coordinator (RK), a physical therapist and a native Thai speaker, determined the final version by reviewing all the information in the previous translations and the comments made by Translation Project Manager (PJ) from the previous step. The Language Coordinator (RK) provided explanations for the choice of final translation as well as provided literal back-translation and polished back-translation for each item.

Harmonization and quality assurance

An English speaker (HC) who was involved in the development of the PROMIS Depression item bank and SF v1.0 - Depression 8a scale reviewed and evaluated the accuracy as well as the meaning of the final translation by comparing the final back-translations with the original version. She also confirmed that documentation of the translation process was complete.

Formatting, typesetting, and proofreading

Grammatical accuracy of the final translation of the PROMIS SF v1.0 - Depression 8a scale was independently checked by two proofreaders.

Cognitive testing and linguistic validation

The final Thai version of the scale was pretested with 10 individuals with CLBP to confirm that the meaning of each item was equivalent to the original version after translation. Each of the cognitive testing participants were asked to complete a questionnaire independently to provide feedback on the difficulty and appropriateness of each item. They were also asked to provide alternative wording for any items that they thought were difficult to understand.

Analysis of participant’s comments, and finalization of translation

The Translation Project Manager (PJ) collected and summarized the cognitive testing participants’ feedback. The Language Coordinator (RK) reviewed and proposed any final changes in the translation. Finally, the native English speaker who was involved in the development of the PROMIS Depression scale item bank (HC) conducted a final quality review, and the translation were finalized. This process resulted in the Thai version PROMIS SF v1.0 - Depression 8a (T-PROMIS-D-8a).

Phase 2: Evaluation of reliability, construct validity, and structural validity of the T-PROMIS-D-8a

Participants and procedures

We recruited potential participants via referrals from physical therapists working in the outpatient physical therapy departments in hospitals and physical therapy clinics in Bangkok and nearby provinces from November 2022 to May 2023. Individuals were eligible if they were 18 years old or older, understood and communicated fluently in Thai, and had CLBP for at least 3 months that resulted in pain on at least half the days in the past 6 months. The low back area was defined as the area below the costal margin to the gluteal fold [31]. Those who presented a medical diagnosis from a physician indicating a history of severe lumbar spine pathology or serious medical conditions that could potentially impact their participation in the study were excluded. All potential participants who initially expressed an interest to participate in the study were screened by filling in a demographic questionnaire. Those eligible signed the informed consent form and administered paper-and-pencil versions of the T-PROMIS-D-8a, The Thai version Patient Health Questionnaire-9 (T-PHQ-9), Functional Rating Index (T-FRI), Numerical Rating Scale (T-NRS), and Fear Avoidance Beliefs Questionnaire (T-FABQ). They were given a stamped addressed envelope with the T-PROMIS-D-8a, and the Thai version of Global Perceived Effect (T-GPE) and were asked to complete the questionnaires after seven days and return them to the researcher. Because meaningful changes in depression, as measured by the T-PROMIS-D-8a, could occur within one week, only those who indicated little to no change in their condition (i.e., responded with − 1, 0, or 1 to the T-GPE) were used to evaluate test-retest reliability analyses.

Materials

The T-PROMIS-D-8a consists of 8 items assessing depression. The response options for each item range from 1 (“Never”) to 5 (“Always”). The responses to the items are summed into a total raw score, which is then transformed into a T-score using a conversion table with a mean of 50 and a standard deviation of 10 based on the original normative sample of the English version of the scale. T-scores ranging from 55 to 59, 60 to 69, and 70 or greater represent of mild, moderate, and severe level of depression, respectively (See https://www.healthmeasures.net).

The T-PHQ-9 assesses depression symptom severity. The item response options range from 0 (“Not at all”) to 3 (“Nearly every day”). Responses are summed into a total score that can range from 0 to 27. The scores ranging from 5 to 9, 10 to 14,15 to 19, and 20 or more indicate mild, moderate, moderately severe, and severe depression, respectively. It has been found to have acceptable psychometric properties in outpatients with the internal consistency (Cronbach’s alpha) of 0.79, indicating a good level of reliability [32].

The T-NRS is a commonly used measure of pain intensity. With this measure, participant rate their intensity of their pain on a 0 (“No pain”) to 10 (“representing an extreme level of pain”) scale. In the current study, participants were asked to rate their average pain in the past 7 days. Evidence supports the reliability and validity of the T-NRS [33].

The T-FABQ measures severity of fear-related beliefs. Item response options range from 0 (“Completely disagree”) to 6 (“Completely agree”). The total score ranges from 0 to 96. Responses to 7 and 4 items of 16 items are summed to create the T-FABQ Work scale and T-FABQ Physical Activity scale scores, which can range from 0 to 42 and 0 to 24, respectively [34]. The internal consistency (Cronbach’s alpha) of the T-FABQ total scores was 0.88, indicating a good level of reliability in Thai individuals with musculoskeletal pain [35].

The T-GPE asks respondents to indicate the amount of change in their condition, relative to a pre-specified time point. Response options can range from − 5 (“Vastly worse”) to 5 (“Completely recovered”) [36]. Evidence supports the reliability and validity of this scale in patients with musculoskeletal pain [36].

The T-FRI is a 10-item self-report scale assessing perceived disability in individuals with back and/or neck pain. The measure’s items assess pain intensity, pain frequency, and neck and/or back pain interference with daily activities. Item response options range from 0 (“No pain” or “Full ability to function”) to 4 (“Worst possible pain” or “Unable to perform this function at all”). The responses are summed, divided by 40, and the multiplied by 100 to get a total score that can range from 0 to 100; higher scores indicate more pain-related disability. The T-FRI has been shown to have good internal consistency (Cronbach’s alpha) of 0.86 in the current sample, indicating a good level of reliability [37].

Data analyses

Sample characteristics were described by computing frequencies and percentages (for categorical variables) or means and standard deviations (for continuous variables). We then determined the extent to which the T-PROMIS-D8a had problematic ceiling or floor effects (i.e., whether or not 15% or more participants had the lowest or highest possible scale scores [38].

Like all PROMIS measures, the PROMIS SF v1.0 - Depression 8a was developed specifically to meet unidimensionality assumption of Item response theory [24]. We employed confirmatory factor analysis (CFA) to evaluate the structural validity of the T-PROMIS-D8a, using the asymptotically distribution-free (ADF) method [39]. We planned to adjust the model as needed using modification indices by adding covariance between error terms if the modification indices exceeded 10 [40]. Model fit was evaluated using comparative fit index (CFI), Tucker-Lewis index (TLI), the root mean square error of approximation (RMSEA), and standard root of mean square residual (SRMR). Good fit model was obtained when CFI and TLI values > 0.95, RMSEA values < 0.06, and SRMR < 0.08 [41].

We evaluated the reliability of the T-PROMIS-D-8a using several approaches. First, we computed the internal consistency (Cronbach’s alpha) of the T-PROMIS-D-8a items. We determined a priori that a Cronbach’s alpha value of ≥ 0.70 would indicate acceptable internal consistency [42]. Second, we computed the measures test-retest reliability coefficient using the intraclass correlation coefficient (ICC [2,1]) between the initial and second assessments in those participants who reported no or very little change in depression from the first to second administration of the T-PROMIS-D-8a. An ICC[2,1] between 0.75 and 0.90 is thought to indicate good reliability and an ICC[2,1] ≥ 0.90 is thought to indicate excellent reliability [43]. The standard error of measurement for test-retest scale scores (SEM test−retest) was computed as \(\sqrt {(\sigma _{{time}}^{2}+\sigma _{{residual}}^{2})} \) [44] and the minimal detectable change at 95% confidence (MDC95%) was calculated by MDC95% = square root of 2 multiplied by SEM test−retest x 1.96 [45]. Finally, the limit of agreement (LoA) was calculated as LoA = the mean change in scores between first and second administration ± 1.96 multiplied by standard deviation of these changes [46].

The construct validity of the T-PROMIS-D-8a was evaluated by computing Spearman’s rank correlation coefficients between the T-PROMIS-D-8a score and the three validity criteria measures. According to Cohen, correlation coefficients (r) of 0.10, 0.30, and 0.50 indicate small, medium, and large effect sizes, respectively. These values also correspond to weak, moderate, and strong associations between variables [47]. We hypothesized that if the T-PROMIS-D-8a had convergent validity, it should evidence strong positive association (i.e., r’s ≥ 0.60) with the T-PHQ-9. We also hypothesized that if the T-PROMIS-D-8a had discriminant validity it should demonstrate positive by only weak to moderate (i.e., r’s ≤ 0.40) with the T-NRS and T-FABQ [48].

All data analyses were performed using SPSS version 29.0 for Windows except for the CFA which was performed using AMOS version 29.0. A p-value < 0.05 was considered to be statistically significant.

Results

Cross-cultural translation and adaptation

The cross-cultural translation and adaptation process was successful in translating the instructions and all items of the PROMIS SF v1.0 - Depression 8a into Thai. These were found to be both understandable and appropriate for Thai culture.

Demographic data and descriptive statistics

A total of 362 participants with CLBP were screened for eligibility and 354 expressed an initial interest in participation. However, 85 were not eligible and the other 8 ultimately declined participation. This left 269 participants for the Phase 2 analyses of data from the initial assessment. Demographic, pain history, and means and standard deviations of the study measures for this sample are presented in Table 1. All items of all questionnaires were completed with no missing data. The sample reported having moderate pain intensity on the T-NRS and moderate disability level on the T-FRI, on average. The average T-score of the T-PROMIS-D-8a was 53.8 (SD 9.0) indicating slightly higher depressive symptom severity than that reported by the normative sample, while the average the T-PHQ-9 scores was 8.4 (SD 5.2) indicating mild depressive symptoms, on average.

Table 1 Demographic, pain history, and study variable information for the study sample (N = 269)

Structural validity

The CFA using data from the 269 participants supported a single-factor model of the T-PROMIS-D-8a items. The initial model was adjusted and the modified model indicated good fit with all indices (CFI = 0.99, TLI = 0.98, RMSEA = 0.02, and SRMR = 0.02) Fig. 1 shows a single-factor model from the confirmatory factor analysis.

Fig. 1
figure 1

Single-factor model from the confirmatory factor analysis

Reliability, and ceiling and floor statistics

The Cronbach’s alpha of the T-PROMIS-D-8a in the current sample was 0.94, indicating an excellent level of internal consistency. 16% of the sample had the lowest possible score. For the second assessment, 101 participants reported that their pain condition over 1-week remained unchanged. The mean (SD) scores for T-PROMIS-D-8a at baseline and after a week were 53.7 (9.0) and 52.9 (10.2) respectively. Notably, the obtained ICC[2,1] value of 0.86 indicated good test-retest reliability. The SEMtest−retest, MDC95%, and LoA were 3.55, 9.85, − 0.83 ± 10, respectively.

Construct validity

In support of convergent validity for the T-PROMIS-D-8a, it evidenced a strong association (r = 0.78) with the T-PHQ-9. In addition, the correlations between the T-PROMIS-D-8a and the measures used to evaluate discriminant validity criteria (i.e., the T-NRS and T-FABQ total score, activity subscale, and work subscales) were 0.21, 0.22, 0.07, and 0.23, respectively; all of these were indicated weak associations.

Discussion

Using the FACIT methodology, which involves multiple steps designed to ensure that the translated questionnaire maintain and reflect the content of the original questionnaire accurately [30], we were able to translate the instructions and all eight PROMIS Depression SF v1.0– Depression scale items in a way that was both understandable to individuals from Thailand and appropriate for Thai culture. Consistent with the original English version of the PROMIS SF v1.0 - Depression 8a static scale, the findings confirmed the unidimensionality of T-PROMIS-D-8a and suggested that T-PROMIS-D-8a has acceptable reliability and construct validity when assessed in individuals with CLBP from Thailand.

The study results with respect to the unidimensional nature of the T-PROMIS-D-8a items are consistent with those using data from the original English version of the PROMIS SF v1.0 - Depression 8a [24] as well as other translated versions in different countries, including Norway, Korea, and China [49,50,51]. The T-PROMIS-D-8a was shown to have excellent internal consistency (Cronbach’s alpha: 0.94). This result is consistent with other studies in both clinical sample and general population (Cronbach’s alphas: 0.91-0.97) [27, 49,50,51,52,53].

The T-PROMIS-D-8a scale demonstrated potential problems with floor effects, with 16% of participants with the minimum possible score. A previous study on the original English version conducted in patients who underwent kidney transplant showed a higher floor effect of 21% which could be attributed to the fact that all participants were stable kidney transplants recipients [28]. Additionally, the Norwegian version demonstrated a higher floor effect of 30% among general population [50]. These findings suggest that the PROMIS SF v1.0 - Depression 8a is more suitable for use in patients with chronic clinical condition, rather than general population. However, the magnitude of floor effect with the T-PROMIS-D-8a is lower than the 50% value reported in a previous study conducting in Thai participants with CLBP using the 4-item of PROMIS Depression scale [54]. These findings suggest that while floor effects may be a concern in research using the T-PROMIS-D-8a, the T-PROMIS-D-8a still represents a marked improvement over the 4-items of PROMIS Depression scale with respect to this criterion. Therefore, whenever possible, the T-PROMIS-D-8a should be selected over the 4-item version for both research purposes and clinical practice.

The test-retest reliability of the T-PROMIS-D-8a was found to be good in the study sample. This finding is consistent with previous research using the original 8-item English version of the short form in patients with kidney transplants [28] and rheumatoid arthritis [27] who found equivalent results. When considered the findings indicating excellent internal consistency, the results indicate that the T-PROMIS-D-8a provides reliable results when administered over time. Relatedly, the findings regarding measurement error suggest that the difference between test-retest scores of the T-PROMIS-D-8a is expected to fall within the range of approximately − 10.59 to 8.93 T-score and a difference of at least 9.85 T-score points would be needed to determine that an observed change in depression severity is reliable. While, the 4-item of PROMIS Depression presented with a different of 13.75 T-score points [54]. This indicated that the T-PROMIS-D-8a is more sensitive in detecting meaningful changes.

In support of convergent validity, the T-PROMIS-D-8a evidenced a strong association with another measure of depression, the T-PHQ-9. The result indicated that T-PROMIS-D-8a and T-PHQ-9 were both designed to measure a similar construct. The finding is consistent with previous study in clinical sample (r = 0.83) [53]. However, the underlying concepts of these two measures are slightly different. T-PHQ-9 is composed of items that evaluate cognitive, affective, and somatic symptoms of depression, with a particular emphasis on somatic symptoms [55]. In contrast, T-PROMIS-D-8a primarily concentrates on assessing cognitive and affective symptoms, excluding somatic symptoms of depression. The approach aims to minimize the influence of somatic items that could potentially confound and inflate scores when evaluating individuals with chronic pain [24, 25]. As a result, the T-PROMIS-D-8a, which assesses only cognitive and affective symptoms of depression, may indicate a lower level of depression when evaluating individuals with chronic pain compared to the T-PHQ-9, which evaluates cognitive, affective, and somatic symptoms of depression. This notion might be supported by differences in levels of depression measured by these two measures in this study. At baseline, the mean T-PROMIS-D-8a scores indicated little or no depression. While T-PHQ-9 scores indicated mild depression in this current sample.

The study’s findings also supported the discriminant validity of the T-PROMIS-D-8a. Specifically, we found that the T-PROMIS-D-8a demonstrated positive but weak associations with valid measures of constructs that were not depression, including pain intensity and fear of pain. These results are consistent with prior research evaluating the discriminate validity of depression scales [56].

The current study has some limitations that should be considered when interpreting the results. First, this study only involved a convenience sample of individuals with chronic low back pain in two large public hospitals, one small public hospital, and five outpatient physical therapy clinics in the Bangkok metropolitan area and nearby provinces. The extent to which the findings generalize to individuals with CLBP from rural areas, or to individuals with other types of pain problems in Thailand are not known. Additional research that evaluates the psychometric properties of the T-PROMIS-D-8a in other populations is needed to determine the generalizability of the results. Second, the T-PROMIS-D-8a was not administered before and after a treatment known to impact depression. As a result, we are unable to evaluate the minimal clinically important difference for the T-PROMIS-D-8a. Further studies that address this issue would be beneficial. Third, we observed an unequal distribution of sex in the study, with 70% of the participants reporting that they were female. Different perceptions of depression between sexes might influence the structural validity of the model. Evaluating this possibility requires exploration in future studies.

Conclusions

Despite the study’s limitations, the findings provide important new information regarding the reliability and validity of the T-PROMIS-D-8a. While more research to confirm the reliability of the results would be useful, the study findings indicate that the T-PROMIS-D-8a is a reliable and valid measure for evaluating depression in Thai individuals with CLBP. Additional research that replicates the current findings in samples of individuals with different chronic pain conditions as well as evaluates minimal clinically important difference of this measure in this current sample is needed.

Data availability

The manuscript does not contain any individual person’s data. The datasets used and/or analyzed during the current study are available from the corresponding author on reasonable request.

Abbreviations

BDI-II:

Beck Depression Inventory-II

CES-D:

Center for epidemiologic studies depression scale

CFA:

Confirmatory factor analysis

CFI:

Comparative fit index

CLBP:

Chronic low back pain

CTT:

Classical test theory

FABQ:

Fear Avoidance Beliefs Questionnaire

FACIT:

Functional Assessment of Chronic Illness Therapy

FRI:

Functional Rating Index

GPE:

Global Perceived Effect scale

ICC:

Intraclass correlation coefficient

IRT:

Item Response Theory

MDC:

Minimal detectable change

NRS:

Numerical Rating Scale

PHQ-9:

Patient Health Questionnaire-9

PROMIS:

Patient-Reported Outcomes Measurement Information System

PROMIS SF:

Patient-Reported Outcomes Measurement Information System Short Form

RMSEA:

Root mean square error of approximation

SEM:

Standard error of measurement

SRMR:

Standard root of mean square residual

TLI:

Tucker Lewis index

References

  1. Cimmino MA, Ferrone C, Cutolo M (2011) Epidemiology of chronic musculoskeletal pain. Best Pract Res Clin Rheumatol 25(2):173–183. https://doi.org/10.1016/j.berh.2010.01.012

    Article  PubMed  Google Scholar 

  2. Cimas M, Ayala A, Sanz B, Agulló-Tomás MS, Escobar A, Forjaz M (2018) Chronic musculoskeletal pain in European older adults: Cross‐national and gender differences. Eur J Pain 22(2):333–345. https://doi.org/10.1002/ejp.1123

    Article  CAS  PubMed  Google Scholar 

  3. Sihawong R, Sitthipornvorakul E, Paksaichol A, Janwantanakul P (2015) Predictors for chronic neck and low back pain in office workers: a 1-year prospective cohort study. J Occup Health 58(1):16–24. https://doi.org/10.1539/joh.15-0168-oa

    Article  PubMed  Google Scholar 

  4. Yiengprugsawan V, Hoy D, Buchbinder R, Bain C, Seubsman S-a, Sleigh AC (2017) Low back pain and limitations of daily living in Asia: longitudinal findings in the Thai cohort study. BMC Musculoskelet Disord 18(1):1–7. https://doi.org/10.1186/2Fs12891-016-1380-5

    Article  Google Scholar 

  5. Costa LCM, Maher CG, McAuley JH, Hancock MJ, Herbert RD, Refshauge KM et al (2009) Prognosis for patients with chronic low back pain: inception cohort study. BMJ 339:b3829. https://doi.org/10.1136/bmj.b3829

    Article  PubMed  PubMed Central  Google Scholar 

  6. Ge L, Pereira MJ, Yap CW, Heng BH (2022) Chronic low back pain and its impact on physical function, mental health, and health-related quality of life: a cross-sectional study in Singapore. Sci Rep 12(1):20040. https://doi.org/10.1038/s41598-022-24703-7

    Article  CAS  PubMed  PubMed Central  ADS  Google Scholar 

  7. Hoy ML, Brooks P, Blyth F, Woolf A, Bain C et al (2014) The global burden of low back pain: estimates from the global burden of Disease 2010 study. Ann Rheum Dis 73(6):968–974. https://doi.org/10.1136/annrheumdis-2013-204428

    Article  PubMed  Google Scholar 

  8. Gatchel RJ, Bernstein D, Stowell AW, Pransky G (2008) Psychosocial differences between high-risk acute vs. chronic low back pain patients. Pain Pract 8(2):91–97. https://doi.org/10.1111/j.1533-2500.2008.00176.x

    Article  PubMed  Google Scholar 

  9. Park S-M, Kim H-J, Jang S, Kim H, Chang B-S, Lee C-K et al (2018) Depression is closely Associated with Chronic Low Back Pain in patients over 50 years of age: a cross-sectional study using the Sixth Korea National Health and Nutrition Examination Survey (KNHANES VI-2). Spine 43(18):1281–1288. https://doi.org/10.1097/brs.0000000000002595

    Article  PubMed  Google Scholar 

  10. Gatchel RJ, Peng YB, Peters ML, Fuchs PN, Turk DC (2007) The biopsychosocial approach to chronic pain: scientific advances and future directions. Psychol Bull 133(4):581. https://doi.org/10.1037/0033-2909.133.4.581

    Article  PubMed  Google Scholar 

  11. Linton SJ, Shaw WS (2011) Impact of psychological factors in the experience of pain. Phys Ther 91(5):700–711. https://doi.org/10.2522/ptj.20100330

    Article  PubMed  Google Scholar 

  12. Vlaeyen JWS, Linton SJ (2000) Fear-avoidance and its consequences in chronic musculoskeletal pain: a state of the art. Pain 85(3):317–332. https://doi.org/10.1016/s0304-3959(99)00242-0

    Article  PubMed  Google Scholar 

  13. Hu Y, Yang Z, Li Y, Xu Y, Tian M, Jiang N et al (2022) Prevalence and associated factors of depressive symptoms among patients with chronic low back pain: a cross-sectional study. Front Psychiatry 12:2563. https://doi.org/10.3389/fpsyt.2021.820782

    Article  Google Scholar 

  14. Currie SR, Wang J (2004) Chronic back pain and major depression in the general Canadian population. Pain 107(1–2):54–60. https://doi.org/10.1016/j.pain.2003.09.015

    Article  PubMed  Google Scholar 

  15. Nassar N, Assaf N, Farrag D, Ibrahim D, Al-Sheekh A (2019) Depression in patients with chronic low back pain. Egypt Rheumatol Rehabil 46(1):48–54

    Article  Google Scholar 

  16. Tsuji T, Matsudaira K, Sato H, Vietri J (2016) The impact of depression among chronic low back pain patients in Japan. BMC Musculoskelet Disord 17(1):1–9. https://doi.org/10.1186/s12891-016-1304-4

    Article  Google Scholar 

  17. Wong JJ, Tricco AC, Côté P, Liang CY, Lewis JA, Bouck Z et al (2022) Association between depressive symptoms or depression and health outcomes for low back pain: a systematic review and meta-analysis. J Gen Intern Med 37(5):1233–1246. https://doi.org/10.1007/s11606-021-07079-8

    Article  PubMed  Google Scholar 

  18. Hung C-I, Liu C-Y, Fu T-S (2015) Depression: an important factor associated with disability among patients with chronic low back pain. Int J Psychiatry Med 49(3):187–198. https://doi.org/10.1177/0091217415573937

    Article  PubMed  Google Scholar 

  19. Kamper SJ, Apeldoorn AT, Chiarotto A, Smeets RJ, Ostelo RW, Guzman J et al (2015) Multidisciplinary biopsychosocial rehabilitation for chronic low back pain: Cochrane systematic review and meta-analysis. BMJ 350. https://doi.org/10.1002/14651858.CD000963.pub3

  20. Bijker L, Sleijser-Koehorst M, Coppieters M, Cuijpers P, Scholten-Peeters G (2020) Preferred self-administered questionnaires to assess depression, anxiety and somatization in people with musculoskeletal pain–A modified Delphi study. J Pain 21(3–4):409–417. https://doi.org/10.1016/j.jpain.2019.08.006

    Article  CAS  PubMed  Google Scholar 

  21. Smarr KL, Keefer AL (2020) Measures of depression and depressive symptoms. Arthritis Care Res (Hoboken) 72:608–629. https://doi.org/10.1002/acr.20556

    Article  PubMed  Google Scholar 

  22. Cella D, Riley W, Stone A, Rothrock N, Reeve B, Yount S et al (2010) The patient-reported outcomes Measurement Information System (PROMIS) developed and tested its first wave of adult self-reported health outcome item banks: 2005–2008. J Clin Epidemiol 63(11):1179–1194. https://doi.org/10.1016/j.jclinepi.2010.04.011

    Article  PubMed  PubMed Central  Google Scholar 

  23. Pilkonis PA, Yu L, Dodds NE, Johnston KL, Maihoefer CC, Lawrence SM (2014) Validation of the depression item bank from the patient-reported outcomes Measurement Information System (PROMIS®) in a three-month observational study. J Psychiatr Res 56:112–119. https://doi.org/10.1016/j.jpsychires.2014.05.010

    Article  PubMed  PubMed Central  Google Scholar 

  24. Pilkonis PA, Choi SW, Reise SP, Stover AM, Riley WT, Cella D et al (2011) Item banks for measuring emotional distress from the patient-reported outcomes Measurement Information System (PROMIS®): depression, anxiety, and anger. Assessment 18(3):263–283. https://doi.org/10.1177/1073191111411667

    Article  PubMed  PubMed Central  Google Scholar 

  25. Amtmann D, Kim J, Chung H, Bamer AM, Askew RL, Wu S et al (2014) Comparing CESD-10, PHQ-9, and PROMIS depression instruments in individuals with multiple sclerosis. Rehabil Psychol 59(2):220. https://doi.org/10.1037/a0035919

    Article  PubMed  PubMed Central  Google Scholar 

  26. Cella D, Choi SW, Condon DM, Schalet B, Hays RD, Rothrock NE et al (2019) PROMIS® adult health profiles: efficient short-form measures of seven health domains. Value Health 22(5):537–544. https://doi.org/10.1016/j.jval.2019.02.004

    Article  PubMed  PubMed Central  Google Scholar 

  27. Hitchon CA, Zhang L, Peschken CA, Lix LM, Graff LA, Fisk JD et al (2020) Validity and reliability of screening measures for depression and anxiety disorders in rheumatoid arthritis. Arthritis Care Res (Hoboken) 72(8):1130–1139. https://doi.org/10.1002/acr.24011

    Article  PubMed  Google Scholar 

  28. Tang E, Bansal A, Cao S, Edwards N, Li M, Novak M et al (2018) Validation of the PROMIS-57 and PROMIS-29 profile questionnaires in kidney transplant recipients. Transplantation 102:S534. https://doi.org/10.1097/01.tp.0000543378.43912.1f

    Article  Google Scholar 

  29. Charoenthaweekaew P, Janwantanakul P, Correia H, Jensen M, Kanlayanaphotporn R Cross-cultural adaptation and psychometric properties of the Thai versions of the patient-reported outcomes Measurement Information System Short form– anxiety 8a and the Pain anxiety symptoms Scale-20 in individuals with chronic low back pain. J Health SciMed Res (in press).

  30. Eremenco SL, Cella D, Arnold BJ (2005) A comprehensive method for the translation and cross-cultural validation of health status questionnaires. Eval Health Prof 28(2):212–232. https://doi.org/10.1177/0163278

    Article  PubMed  Google Scholar 

  31. Deyo RA, Dworkin SF, Amtmann D, Andersson G, Borenstein D, Carragee E et al (2015) Report of the NIH Task Force on research standards for chronic low back pain. Phys Ther 95(2):e1–e18. https://doi.org/10.2522/ptj.2015.95.2.e1

    Article  PubMed  PubMed Central  Google Scholar 

  32. Lotrakul M, Sumrithe S, Saipanish R (2008) Reliability and validity of the Thai version of the PHQ-9. BMC Psychiatry 8(1):46. https://doi.org/10.1186/2F1471-244X-8-46

    Article  PubMed  PubMed Central  Google Scholar 

  33. Atisook R, Euasobhon P, Saengsanon A, Jensen MP (2021) Validity and utility of four pain intensity measures for use in international research. J Pain Res 1129–1139. https://doi.org/10.2147/JPR.S303305

  34. Waddell G, Newton M, Henderson I, Somerville D, Main CJ (1993) A fear-avoidance beliefs questionnaire (FABQ) and the role of fear-avoidance beliefs in chronic low back pain and disability. Pain 52(2):157–168. https://doi.org/10.1016/0304-3959(93)90127-b

    Article  PubMed  Google Scholar 

  35. Wiangkham T, Phungwattanakul N, Tedsombun P, Kongmee I, Suwanmongkhon W, Chidnok W (2021) Translation, cross-cultural adaptation and psychometric evaluation of the Thai version of the fear-avoidance beliefs questionnaire in patients with non-specific neck pain. Scand J Pain 21(2):247–255. https://doi.org/10.1515/sjpain-2020-0116

    Article  PubMed  Google Scholar 

  36. Kamper SJ, Ostelo RW, Knol DL, Maher CG, de Vet HC, Hancock MJ (2010) Global perceived effect scales provided reliable assessments of health transition in people with musculoskeletal disorders, but ratings are strongly influenced by current status. J Clin Epidemiol 63(7):760–766. https://doi.org/10.1016/j.jclinepi.2009.09.009

    Article  PubMed  Google Scholar 

  37. Chansirinukor W (2015) Thai Version of the functional rating index for patients with back and Neck Pain: part 1 cross-cultural adaptation, reliability and validity. J Med Assoc Thai 98:97–105

    Google Scholar 

  38. Terwee CB, Bot SD, de Boer MR, van der Windt DA, Knol DL, Dekker J et al (2007) Quality criteria were proposed for measurement properties of health status questionnaires. J Clin Epidemiol 60(1):34–42. https://doi.org/10.1016/j.jclinepi.2006.03.012

    Article  PubMed  Google Scholar 

  39. Schermelleh-Engel K, Moosbrugger H, Müller H (2003) Evaluating the fit of structural equation models: tests of significance and descriptive goodness-of-fit measures. Methods Psychol Res Online 8(2):23–74

    Google Scholar 

  40. Cole JC, Motivala SJ, Khanna D, Lee JY, Paulus HE, Irwin MR (2005) Validation of single-factor structure and scoring protocol for the Health Assessment Questionnaire‐Disability Index. Arthritis Care Research: Official J Am Coll Rheumatol 53(4):536–542. https://doi.org/10.1002/art.21325

    Article  Google Scholar 

  41. Brown TA (2015) Confirmatory Factor Analysis for Applied Research, Second Edition. Guilford Publications

  42. Tavakol M, Dennick R (2011) Making sense of Cronbach’s alpha. Int J Med Edu 2:53. https://doi.org/10.5116/Fijme.4dfb.8dfd

    Article  Google Scholar 

  43. Koo TK, Li MY (2016) A guideline of selecting and reporting intraclass correlation coefficients for reliability research. J Chiropr Med 15(2):155–163. https://doi.org/10.1016/j.jcm.2016.02.012

    Article  PubMed  PubMed Central  Google Scholar 

  44. de Vet HC, Terwee CB, Knol DL, Bouter LM (2006) When to use agreement versus reliability measures. J Clin Epidemiol 59(10):1033–1039. https://doi.org/10.1016/j.jclinepi.2005.10.015

    Article  PubMed  Google Scholar 

  45. de Vet HC, Terwee CB, Ostelo RW, Beckerman H, Knol DL, Bouter LM (2006) Minimal changes in health status questionnaires: distinction between minimally detectable change and minimally important change. Health Qual Life Outcomes 4:1–5. https://doi.org/10.1186/1477-7525-4-54

    Article  Google Scholar 

  46. Bland JM, Altman D (1986) Statistical methods for assessing agreement between two methods of clinical measurement. Lancet 327(8476):307–310

    Article  Google Scholar 

  47. Portney LG, Watkins MP (2009) Foundations of clinical research: applications to practice (Vol. 892). Pearson/Prentice Hall Upper Saddle River, NJ

  48. Fitzpatrick R, Davey C, Buxton MJ, Jones DR (1998) Evaluating patient-based outcome measures for use in clinical trials. Health Technol Assess 2(14):1–74. https://doi.org/10.3310/hta2140

    Article  CAS  PubMed  Google Scholar 

  49. Choi H, Ko H, Kim C (2021) Validation of the Korean Version of the patient-reported outcomes Information System® Emotional Distress measures. J Korean Acad Psychiatr Ment Health Nurs 30(2):102–109. https://doi.org/10.12934/jkpmhn.2021.30.2.102

    Article  Google Scholar 

  50. Rimehaug SA, Kaat AJ, Nordvik JE, Klokkerud M, Robinson HS (2022) Psychometric properties of the PROMIS-57 questionnaire, Norwegian version. Qual Life Res 31(1):269–280. https://doi.org/10.1007/s11136-021-02906-1

    Article  PubMed  Google Scholar 

  51. Cai T, Wu F, Huang Q, Yu C, Yang Y, Ni F et al (2022) Validity and reliability of the Chinese version of the patient-reported outcomes Measurement Information System adult profile-57 (PROMIS-57). Health Qual Life Outcomes 20(1):1–12. https://doi.org/10.1186/s12955-022-01997-9

    Article  Google Scholar 

  52. Wilford J, Osann K, Hsieh S, Monk B, Nelson E, Wenzel L (2018) Validation of PROMIS emotional distress short form scales for cervical cancer. Gynecol Oncol 151(1):111–116. https://doi.org/10.1016/j.ygyno.2018.07.022

    Article  PubMed  PubMed Central  Google Scholar 

  53. Vilagut G, Forero C, Adroher N, Olariu E, Cella D, Alonso J et al (2015) Testing the PROMIS® Depression measures for monitoring depression in a clinical sample outside the US. J Psychiatr Res 68:140–150. https://doi.org/10.1016/j.jpsychires.2015.06.009

    Article  CAS  PubMed  Google Scholar 

  54. Rawang P, Janwantanakul P, Correia H, Jensen MP, Kanlayanaphotporn R (2020) Cross-cultural adaptation, reliability, and construct validity of the Thai version of the patient-reported outcomes Measurement Information System-29 in individuals with chronic low back pain. Qual Life Res 29:793–803. https://doi.org/10.1007/s11136-019-02363-x

    Article  PubMed  Google Scholar 

  55. Beard C, Hsu K, Rifkin L, Busch A, Björgvinsson T (2016) Validation of the PHQ-9 in a psychiatric sample. J Affect Disord 193:267–273. https://doi.org/10.1016/j.jad.2015.12.075

    Article  CAS  PubMed  Google Scholar 

  56. Nayfe R, Chansard M, Hynan LS, Mortensen EM, Annaswamy T, Fraenkel L et al (2020) Comparison of patient-reported outcomes measurement information system and legacy instruments in multiple domains among older veterans with chronic back pain. BMC Musculoskelet Disord 21(1):1–11. https://doi.org/10.1186/s12891-020-03587-6

    Article  Google Scholar 

Download references

Acknowledgements

The authors thank Mr. Panithi Charoenthaweekaew and Mr. Nuttapong Phongsaphakjarukorn for their contributions in data collection.

Funding

The research grant funds have been provided by the 90th Anniversary of Chulalongkorn UniversityFund, Ratchadapiseksomphot Endowment Fund (GCUGR1125651063M). A scholarship from the Graduate School, Chulalongkorn University to commemorate the 72nd Anniversary of His Majesty King Bhumibol Adulyadej is gratefully acknowledged.

Author information

Authors and Affiliations

Authors

Contributions

The authors have contributed in the following ways: RS provided the concept/research design, data collection, data analysis, and manuscript writing. HC provided the concept/research design and manuscript writing. RK, MPJ, and PJ provided the concept/research design, data analysis, and manuscript writing.

Corresponding author

Correspondence to Prawit Janwantanakul.

Ethics declarations

Ethics approval and consent to participate

The research study received the ethical approval from the Research Ethics Review Committee for Research Involving Human Research Participants, Health Sciences group, Chulalongkorn University (COA No. 097/65 and 208/65). The manuscript does not contain information about medical device(s)/drug(s). Informed consent was obtained from all individual participants included in the study.

Consent for publication

All authors read and approved the final manuscript.

Competing interests

The authors declare that they have no competing interests.

Additional information

Publisher’s Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Rights and permissions

Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Sansatan, R., Kanlayanaphotporn, R., Jensen, M.P. et al. Cross-cultural adaptation and psychometric properties of the Thai version of the patient-reported outcomes measurement information system short form– depression 8a in individuals with chronic low back pain. J Patient Rep Outcomes 8, 27 (2024). https://doi.org/10.1186/s41687-024-00702-2

Download citation

  • Received:

  • Accepted:

  • Published:

  • DOI: https://doi.org/10.1186/s41687-024-00702-2

Keywords