- Research article
- Open Access
Psychosomatic symptoms questionnaire (PSQ-39): a psychometric study among general population of Iranian adults
BMC Psychiatry volume 21, Article number: 269 (2021)
Psychosomatic symptoms, characterized by physical-bodily complaints not fully explained by organic reasons, are highly prevalent. The present study aimed to culturally adapt and evaluate the psychometric properties of Psychosomatic Symptoms Questionnaire 39-item version (PSQ-39) among Iranian general adult population.
This study included 996 Persian-speaking people, living in Isfahan, Iran. The translation of the PSQ-39 was performed using the forward-backward method. Test-retest reliability was evaluated through Intraclass correlation (ICC) coefficient and internal consistency by using Cronbach’s α. Construct validity was investigated by using both exploratory (EFA) and confirmatory (CFA) factor analysis. Short Form Health Survey (SF-36) was used to assess divergent validity. Known-group validity was also assessed.
The Persian version of the PSQ-39 showed excellent test-retest reliability in all domains (ICCs: 0.95–0.99). The computed Cronbach’s alpha coefficients for domains of PSQ-39 were in the range good to excellent. The PSQ-39 showed good known-group validity and differentiated patients from the general population (Area under the curve [AUC] of 0.78 (95% CI: 0.73, 0.84). Construct validity evaluated by EFA led to extraction of seven factors (Cardiorespiratory, musculoskeletal, psychological, gastrointestinal, general, body balance and Globus), and the CFA confirmed the adequacy of extracted factors by EFA (CFI = 0.91, TLI = 0.90, PCFI = 0.77, PNFI = 0.71, CMIN = 1413.18 (df = 654), CMIN/DF = 2.16, and RMSEA = 0.06). Significant negative correlations between all domains of PSQ and SF-36 revealed an acceptable divergent Validity.
The Persian version of the PSQ-39 is a reliable and valid questionnaire with applicability in a broad range of Persian language populations for assessing common psychosomatic symptoms in research as well as in clinical practice.
Many primary care patients complain of physical symptoms that cannot be explained by an underlying organic disease/condition [1, 2]. These symptoms, so-called medically unexplained symptoms (MUS) or psychosomatic symptoms, are influenced by psychological conditions [2, 3]. While the majority of symptoms are self-resolved and mild, but some of them are severely disabling for the patient [1, 2]. Complaints such as headache, dizziness, fatigue, musculoskeletal pain, and gastrointestinal discomfort are prevalent in the general population; so that it is estimated that 80% of individuals experience one or more psychosomatic symptoms in a period of their life [4, 5]. Because these symptoms are associated with impaired quality of life, increased functional limitations, health-related job loss, and increased healthcare costs [2, 6], the assessment and recognition of psychosomatic symptoms’ burden are essential in both clinical care and research settings.
Physicians, researchers, and other healthcare professionals often assess the occurrence of psychosomatic symptoms by using self-report questionnaires [6, 7]. Such questionnaires present a supplementary source of information by capturing the patients’ perspectives of their symptoms . Two systematic reviews [7, 8] indicated that there are different self-reported questionnaires for assessing psychosomatic symptoms, with the differences in a number and type of symptoms, length, scaling, dimensionality, reliability, validity, and studied populations (e.g. Cambodian Somatic Symptom and Syndrome Inventory (SSI) ; Patient Health Questionnaire (PHQ) ; Somatic Symptom Scale (SSS) ; Symptom Checklist-90 (SCL- 90) ; Brief Symptom Inventory (BSI) , and Bodily Distress Syndrome (BDS) ). While those brief self-report questionnaires that are mostly used for screening, are not common for measurement of psychosomatic symptom burden . Some of these questionnaires are based on reporting life-time symptoms (e.g. the SSI); resulting the answers from patients are subjected to recall bias and underreporting of the items [6, 7]. Some other questionnaires inquire to report the symptoms within a week or a month (e.g., the PHQ-15 and SCL- 90R). Some of these questionnaires only ask questions about the presence or absence of symptoms, while others ask about symptoms severity . In 2013, Lacourt et al. conducted a study in the Netherlands for clustering of functional somatic syndromes based on a 47-item psychosomatic symptoms questionnaire and the content of the questionnaire has been structured based on the Bodily Sensations Questionnaires [14, 15]. The questionnaire includes a wide range of symptoms including gastrointestinal, cardiac, respiratory, physical fatigue, musculoskeletal, cognitive, and other symptoms .
There are only three Iranian validated questionnaires for assessing psychosomatic symptoms including “Screening for somatic symptom disorders-7 (SOMS-7)”, “Patient health questionnaire (PHQ-15)” and “Somatic Symptom Scale (SSS)”, an abbreviated 8-item version of the PHQ-15 [16,17,18]. SOMS-7 is a questionnaire with 53 items designed to evaluate the effects of treatment in patients with somatic symptom disorders. The Persian version of the SOMS-7 has been validated in the general population and it has 47 items and 4 dimensions (pain, cardiovascular and respiratory symptoms), (gastrointestinal and urologic symptoms), (neurological functioning symptoms), (musculoskeletal symptoms) . The items of PHQ-15 and SSS-8 assess the gastrointestinal problems, headaches, joint pain, dizziness, and difficulty falling asleep and are scored based on a 5-point Likert-type scale [17, 18]. The factor structure of both questionnaires reflects gastrointestinal problems, pain, fatigue, and cardiopulmonary domains for somatoform symptoms. The validation process of the PHQ-15 and SSS-8 was done in patients and university students, respectively not in the general population [17, 18]. Of the main limitations of these questionnaires are few items for evaluating the somatoform symptoms, and they assess symptoms during long retrospective periods. The present study aimed to culturally adapt and evaluate the psychometric properties a Persian version derived from the original 47-item psychosomatic symptoms’ questionnaire developed by in Lacourt et al. . The number of items in Persian version of questionnaire was reduced to 39 in the validation process; therefore, it was named PSQ-39. Our validated questionnaire contains a large number of psychosomatic symptoms that assess the severity of symptoms in the last 7 days. In addition, its psychometric properties have been evaluated in a large sample size of the general adult population. We followed the guidelines for cross-cultural adaptation of questionnaires  to assess the psychometric properties of PSQ-39.
Study design and participants
This study was conducted between August 2018 and November 2018 among 996 Persian-speaking persons (896 healthy individuals and 100 patients) in Isfahan, the largest city in the central regions of Iran. The healthy individuals were selected from urban healthcare centres of Isfahan through multistage cluster random sampling. Isfahan city has 2 main leading and focal healthcare centres, i.e., the Isfahan focal healthcare centers I and II covering all local healthcare centers located at different geographic regions of Isfahan city. Focal healthcare centers I and II cover 23 and 22 local healthcare centers, respectively. We selected randomly 6 and 9 local healthcare centers from Isfahan healthcare centers I and II, respectively as the second-stage clusters based on considering the geographic coverage of the city for getting a representative sample. Then in each selected healthcare center, people who fulfilled our inclusion criteria were recruited based on convenience sampling. The inclusion criteria to the study were aged 18 years and over, able to read and write Persian, permanent resident of Isfahan city. The excluding criteria were as follows: being pregnant and affecting with major psychological and cognitive problems and physical illness at the time of participation in our study. Finally, 796 general adults agreed to participate in the study. The information of these participants was used to construct and divergent validities. The mean (SD) age was 40.07 (13.2) years. They consisted of 400 (50.3%) females and 659 (84.1%) married. About 43% of the study participants had college education, and 12.2% had adequate income. History of taking medication for psychological problems was reported by 117 (14.9%) of healthy individuals (Table 1). We selected 100 outpatients from people who attended different outpatient clinics including neurology, internal medicine, nephrology, gastroenterology, cardiology, rheumatology, and ear, nose, and throat (ENT) for preliminary clinical or diagnostic examinations in referral hospitals affiliated with Isfahan University of Medical Sciences (“Al-Zahra”, and “Noor and Hazrat-e-Ali Asghar”). The mean (SD) age was 47.89 (16.1) years. They consisted of 50 (50%) females and 83 (84.7%) married. About 23.2% of the outpatients had college education, and 2.1% had adequate income. History of taking medication for psychological problems was reported by 45% of them (Table 1). Based on self-report and checking the medical records of those patients who attended outpatients’ clinics we excluded people with confirmed chronic physical and mental diseases. Patients were aged over 18 years old, and those who non-Persian speaking, and did not consent to participate in our study were excluded. Two trained interviewers explained the purposes of the study to all eligible participants and then invited them to participate in the study. All participants received enough information about the study and also provided informed consent. The questionnaires were completed as a self-report. The design of the current study was approved by the Ethics Committee of Isfahan University of Medical Sciences (Project Number: 396963 and ethics approval code: IR.MUI.REC.1396.3.963).
The psychosomatic symptoms questionnaire
Lacourt et al. (2013) developed a questionnaire to measure psychosomatic symptoms. It comprised a list of 47 symptoms which primarily was based on the Bodily Sensations Questionnaires [14, 15]. Participants were asked ‘Have you been experienced’ the following symptom during the last week, symptoms such as pounding heart, chest pain, and shortness of breath, and each one has a five-point Likert scale ranging from 1 (not at all), 2 (a little), 3 (quite a bit), 4 (quite a lot), and 5 (highly). The questionnaire included four gastrointestinal symptoms (upset stomach, abdominal pain or stomach pain, bowel cramps, and bloated stomach), six cardiac symptoms (chest pain, rapid heart beat, pounding heart, tightness around the chest, irregular heartbeat, and painful stings in the heart area), five respiratory symptoms (feelings of dyspnea, shortness of breath, inability to take a deep breath, sudden fast or deep breathing, and breathlessness), six physical fatigue symptoms (feeling low on energy, feeling tired, feeling exhausted, feeling physically weak, not feeling fit, and feelings of muscle weakness), six musculoskeletal symptoms (muscle pain, pain in bones, pain in joints, back pain, pain in neck, and stiffness of fingers, arms, or legs), six cognitive symptoms (difficulty concentrating, forgetfulness, having trouble paying attention, unclear or foggy thoughts, distracting thoughts, confusion or feelings of unreality), and 14 ‘other’ symptoms (excessive sweating, hot or cold flashes, dry mouth, headache, trembling of hands, arms, or legs, tingling feeling in fingers, arms, or legs, numb feeling somewhere in body, nausea, fainting, having trouble swallowing, sore throat, rustling sound in ears, lump in throat, dizziness).
The 36-item short-form health survey (SF-36) questionnaire
The SF-36 questionnaire is a general quality of life questionnaire that measures eight components . The first 4 components i.e., physical functioning (PF), role limitations due to physical health (RP), body pain (BP), and general health (GH) are used to calculate physical component and the last 4 components i.e., mental health (MH), role limitations due to emotional problems (RE), vitality (energy/fatigue) (VT), and social functioning (SF) are used to calculate mental component. SF-36 is scored from 0 to 100 and a higher score indicates a better quality of life. The psychometric properties of the Persian version of SF-36 had been evaluated previously. It showed satisfactory known group and convergent validity and also had acceptable internal consistency (Cronbach’s α = 0.65–0.90) .
In order to culturally adapt and evaluate the psychometric properties of the current study research tool, the following steps have been performed: 1) the translation of the questionnaire using the forward-backward method; 2) the evaluation of the face and content validity of the original version i.e. 47-item questionnaire developed by Lacourt et al.  and PSQ-39; 3) Evaluation of the construct validity of the PSQ-39 using EFA and CFA; 4) Evaluation of the divergent validity of the PSQ-39 in association with the SF-36; 5) Evaluation of the Known-groups validity of the PSQ; 6) Evaluation of the internal consistency and test-retest reliability of PSQ-39.
Permission was obtained from the developer (Tamara Lacourt, Utrecht, Netherlands), and the methodology recommended by Beaton et al. was followed to translate the questionnaire from English into the Persian language [19, 21]. In the forward stage, two translators translated items of the questionnaire into Persian. One of the translators was familiar with the concept of the questions being translated, but the second was unaware of the items being investigated in the original questionnaire. Then a unified version was established by the translators and presented to the study’s researchers (A.F., P.A., and H.R.). This final form then was backward translated into English by two other translators to compare with the original version based on conceptual balance. After a careful review by researchers (A.F., P.A., and H.R.) necessary changes were made and the provisional Persian version of the questionnaire was provided without any particular difficulty in it. Content validity was performed both qualitatively and quantitatively. In the qualitative phase, seven experts (two psychiatrists, one gastroenterologist, two internal medicine specialists, and two biostatisticians) carefully examined the items. In this phase those items with similar concepts or they had a substantial overlap in the 47-item version were merged, and finally a list of 39 symptoms was created which was named “psychosomatic symptoms questionnaire (PSQ-39)”. Items that were merged consisted of “rapid heartbeat/Pounding heart, feeling physically weak/feelings of muscle weakness, feelings of dyspnea/Shortness of breath, breathlessness/sudden fast or deep breathing, numb feeling somewhere in the body/Tingling feeling in fingers, arms, or legs, having trouble paying attention/difficulty concentrating, distracting thoughts/unclear or foggy thoughts and pain in joints/Pain in bones”. Consequently, we performed quantitative content validity by calculating the Content Validity Index (CVI) and Content Validity Ratio (CVR) for finalized PSQ-39. The expert panel evaluated the simplicity, relevancy, and clarity of each item, concerning the construct, on a 4-point rating scale. For example, the panel of experts assessed the simplicity of the items by using: (1) It’s complicated; (2) It needs serious revision; (3) It’s simple but it needs revision; and (4) It’s quite simple. A CVI of ≥ 0.79 was considered acceptable for each item . The CVR evaluates the necessity of each item. For calculating CVR, seven experts were asked to rate the necessity of the PSQ-39 items on a three-point scale i.e., 1: unnecessary; 2: useful but unnecessary; and 3: necessary. A CVR of ≥ 0.99 was considered satisfactory for each item . The qualitative face validity of PSQ-39 was examined by evaluating the feedback from a sample of healthy individuals aged more than 18 years; they evaluated the items for difficulty, relevancy, and ambiguity. We also asked them to check the importance of each item in the questionnaire. After these stages, the final Persian version of the PSQ-39 was developed and its psychometric properties have been evaluated.
The factor structure of the PSQ-39 was explored using the EFA and CFA on the 796 general adults. According to the cross-validation method, we split our sample into two subsamples randomly. EFA was performed on the first half sample (training sample) based on the principal axis factoring extraction approach for estimating the factor loadings and the orthogonal Varimax rotation for interpretation of the extracted factors. We kept factors for further analysis based on the eigenvalues and Scree plot. We supposed factor-item loadings values greater than 0.40 and factors with eigenvalues > 1 as cutoff can result in more interpretable factors and explain sufficient amounts of the overall variation. Kaiser-Meyer-Olkin (KMO) measure of sample adequacy (Values > 0.7) and Bartlett’s Test of Sphericity (P < 0.05) were used to data viability for factorability . According to the loaded items in each factor we labeled each extracted factor. We computed the score for each subscale (factor) by summing up items multiplied by related loading, and then we assigned the score to each participant. After that, we conducted a CFA on the validation sample to confirm the obtained factor structure from EFA. Parameters were estimated in CFA using the maximum likelihood method. Comparative Fit Index (CFI) ≥0.9, Tucker Lewis index (TLI) ≥0.9, Parsimony Comparative Fit Index (PCFI) > 0.5, Parsimony Normed Fit Index (PNFI) > 0.5, chi-square and degrees of freedom, Chi-square/ degree of freedom ratio < 3, and Root Mean Square Error of Approximation (RMSEA) < 0.08 were used to confirm the goodness of fit of the CFA .
‘Known-group’ validity describes the ability of a tool to distinguish between people with and without a health condition . We assessed known-group validity based on the PSQ-39 ability to discriminate between healthy individuals and patients in terms of the prevalence of psychosomatic symptoms and the total score of the questionnaire. The validity of the measure is supported if the mean score and prevalence of the PSQ-39 items are significantly different between the two groups. We distributed the PSQ-39 questionnaire among 796 healthy individuals and 100 outpatients and compared their responses. We hypothesized that the score of PSQ-39 or prevalence of symptoms for these outpatients would be significantly higher than healthy people. We tested the difference in the distribution of answers to each item as well as the score of each subscale between two groups using the Chi-squared test and independent Student’s t-test, respectively. Also, Receiver Operating Characteristic Curve (ROC) was used to find the optimal cut-off value of the total score of the PSQ-39 questionnaire for discriminating healthy individuals from patients, the sensitivity and specificity along with the area under the curve (AUC) were reported.
The Persian version of SF-36 questionnaire was used for evaluating divergent validity. We assessed the divergent validity of our questionnaire by calculating of Pearson correlation coefficient between the score of each PSQ-39 subscale and physical dimensions and the psychological dimensions of, respectively. We hypothesized a negative correlation between psychosomatic score and quality of life. This hypothesis for divergent validation was based on the fact that our questionnaire and SF-36 evaluate similar concepts however in opposite direction accordingly the scores of two questionnaires are in different directions. We also, calculated the Pearson correlation coefficient for each item and its domain (with the item removed) to examine item-scale correlations. According to Terwee et al.’s guidelines, item convergent validity should be at least 0.40 .
Reliability & ceiling and floor effects
To investigate internal consistency and test-retest reliability, we recruited 100 healthy individuals aged 18 years old and over. The participants were asked to complete the PSQ-39 measure on two separate days with a 10 days interval. To evaluate test-retest reliability, the intraclass correlation coefficient (ICC) with 95% confidence using a two-way mixed model of absolute agreement type was estimated. We considered the ICC more than 0.70 was as excellent . We also used Cronbach’s α coefficient to evaluate internal consistency with values between 0.70 to 0.95 as satisfactory . Data collected in the first administration of the PSQ-39 measure (test-retest phase) was used to evaluate internal consistency and ceiling and floor effects. We also reported these indices based on the main sample (n = 896).
Other variables and statistical analysis
Additional data about age, sex, education level, marital status, income level, history of taking medication for psychological problems and digestive diseases, smoking, and sleep duration were also collected. In this paper, quantitative and qualitative variables were expressed as mean (SD) and frequency (percent), respectively. Holm-Bonferroni method  was used to adjust the type one error rate for multiple comparisons and adjusted p-value thresholds for significance were reported in Tables. R free statistical software version 3.2.2 and SPSS AMOS 16.0 (SPSS Inc., Chicago, IL, USA) were used for data analysis.
Content and face validity
The experts’ committee checked the simplicity, relevancy, clarity, and necessity of the questionnaire’s items. The CVI ranged between 0.86 and 1.00, exceeded the acceptable threshold for all items. Also, the CVRs were 1.00 for all items. Consequently, no items were deleted (Table 2). A subsample of our study’s healthy participants checked the face validity of the finalized questionnaire. They stated that did not have any difficulties or ambiguities when completing the questionnaire’s items, also, they scored all items as important and relevant, so we did not change the content of the included symptoms in the questionnaire.
EFA with Varimax rotation extracted seven factors from the PSQ-39 measure which were labeled as “cardiorespiratory”, “musculoskeletal”, “psychological”, “gastrointestinal”, “general”, “body balance” and “Globus” accounting for 13.1, 10.1, 9.8, 7.6, 7.6, 6.7, and 6.4% of total variance, respectively. A KMO value of 0.91 and P < 0.05 for the Bartlett’s test confirmed the sample size adequacy and data factorability, respectively. Table 3 provides the factor loadings of seven extracted factors from EFA on the 39 items of the PSQ-39 measure. The results obtained from the CFA indicated a good fit according to goodness of fit indices as follows: CFI = 0.91, TLI = 0.90, PCFI = 0.77, PNFI = 0.71, CMIN = 1413.17 (df = 654), CMIN/DF = 2.16, and RMSEA = 0.06 were confirmed goodness of fit of factor model also all items loaded significantly on their respective factors (Fig. 1).
All item-scale correlations based on Pearson’s correlation coefficients exceeded the set value of 0.40 (Table 3).
Table 4 provides the distribution of each psychosomatic symptom in two studied groups (healthy individuals and patients). The majority of psychosomatic symptoms, except for back pain, bowel cramps, abdominal pain, and sore throat significantly more prevalent in the outpatients’ group (p < 0.001; Table 4). In addition, the comparison of the mean (SD) of the PSQ-39 subscales between studied groups is presented in Table 5. As expected, the mean (SD) of all the extracted subscales of the PSQ-39 was significantly higher in outpatients (p < 0.01; Table 5). The Known-groups validity of the PSQ-39 was evaluated based on the value of the total score of the tool for differentiating outpatients from healthy group. The ROC curve was generated and results showed strong evidence about the accuracy of our study validated questionnaire for discriminating outpatients from healthy individuals with an area under the curve [AUC] of 0.79 (95% CI: 0.73, 0.84, p < 0.001) and optimal cutoff point 64.5 (sensitivity, 80%, and specificity, 69%) (Fig. 2).
PSQ-39 had moderate to high negative correlations with dimensions of the SF-36 ranging from − 0.70 to − 0.25 (p < 0.01) (Table 6). For example, the total score of PSQ-39 was inversely correlated with the physical (r = − 0.69, p < 0.001) and psychological components (r = − 0.66, p < 0.001) of the SF-36.
Reliability analyses & ceiling and floor effects
The reliability and descriptive statistics for the seven PSQ-39 subscales are shown in Table 7. The ICC coefficient for the total score of the PSQ-39 suggests strong test-retest reliability (ICC = 0.99, 95% CI: 0.995 to 0.998; p < 0.001). The ICC coefficients for subscales “cardiorespiratory”, “musculoskeletal”, “psychological”, “gastrointestinal” and “general” were estimated to be 0.99 and for “body balance” and “Globus” subscales were 0.95 and 0.94, respectively, all suggest strong test-retest reliability. In addition, Cronbach’s alpha coefficient to indicate item internal consistency for each subscale is presented in Table 7. Cronbach’s alpha coefficient was calculated in both the internal pilot sample (n = 100) and total sample (n = 896). All scales met or exceeded the 0.70 level recommended except “body balance”. However, the Cronbach’s alpha coefficient in the original sample for this dimension is equal to 0.74, which is acceptable. In addition, the percentage of respondents scoring at the lowest level (i.e., floor effect) was substantial for subscales of “globus”, “general”, “cardiorespiratory”, and “gastrointestinal”. In contrast, the percentage of participants scoring at the highest level (i.e., ceiling effect) was minimal for all subscales.
In the current study, the psychometric properties of the Persian version of PSQ-39 were evaluated. The results of this study showed that the Persian version of PSQ-39 has excellent test-retest reliability and internal consistency. Patients had experienced higher levels of psychosomatic symptoms than healthy individuals, indicating good known-group validity. Construct validity of PSQ-339 was explored by exploratory factor analysis and well confirmed by applying confirmatory factor analysis. The questionnaire also showed satisfactory divergent validity based on association analysis with SF-36.
Reliability in the current study was assessed by the intraclass correlation (ICC) coefficient and Cronbach’s α. All subscales’ ICC coefficients exceeded 0.9, and approximately all Cronbach’s α coefficients were between 0.7 to 1, accordingly, the investigated questionnaire had strong test-retest reliability and internal consistency. PSQ-39 showed higher test-retest reliability than SOMS-7 (ICC of 0.86) and other questionnaires assessing somatoform symptoms in the Iranian population i.e. PHQ-15 and SSS-8 did not report this reliability measure [16,17,18]. The PSQ-39 questionnaire in the present study showed acceptable internal consistency nearly at the same levels which were observed in the previous works in Iran using other questionnaires [16,17,18].
According to our results, the Persian version of the PSQ-39 questionnaire well discriminated healthy individuals from outpatients; in which the prevalence and mean score of psychosomatic symptoms were significantly higher in patients. Also, a known-group analysis using ROC curve was conducted to determine an optimal cut-off point for the score of PSQ-39 with the highest sensitivity and specificity. These findings indicated that the score 64.5 has a sensitivity 80% and a specificity 69%. This result indicated acceptable known-group validity for this questionnaire. The result of Ebrahimi et al.’s study using the SOMS-7 questionnaire was similar to our study (Score of 15.5 as a cut-off point with a sensitivity of 77% and specificity of 66%) .
Applying factor analysis for evaluating construct validity resulted in seven factors (cardiorespiratory, musculoskeletal, psychological, gastrointestinal, general, body balance, and Globus). One of our limitations in the present study is that the psychometric properties of the original version of the questionnaire have not been evaluated. On the other hand, the number of items in the original version is different from the Persian version. Therefore, we used a cross-validation method to evaluate the construct validity. Results of CFA confirmed the adequacy of the extracted construct from EFA. Lacourt et al.’s study identified a pattern of gastrointestinal, cardiac, respiratory, physical fatigue, musculoskeletal, cognitive, and ‘other’ factors . The dimensionality of other psychosomatic symptoms questionnaires has been investigated in previous studies, although they are not the same as our validated questionnaire however we compared the dimensions of the PSQ-39 with these questionnaires [1, 11, 14, 16, 29,30,31] in terms of number, constructive items and concept. Ebrahimi et al.’s study  in Iran indicated four factors using EFA (“pain and cardiorespiratory”, “gastrointestinal”, “neurological”, and “musculoskeletal”). Heidari et al. reported four factors (‘psycho-fatigue’, ‘gastrointestinal’, ‘neuro- skeletal’ and ‘pharyngeal-respiratory’) using factor mixture model . Fink et al.’s study on 978 patients identified a pattern of cardiopulmonary (CP), musculoskeletal/pain (MS), and gastrointestinal (GI) factors . The factor analyses in the Budtz-Lilly et al’ s study identified four distinct factors including cardiopulmonary, gastrointestinal, musculoskeletal, and general symptoms . As was expected, each questionnaire has its dimensions different from other tools. These differences can be justified by the number and nature of symptoms/items, and more important the dependency of initiation and experience of psychosomatic symptoms to early and recent Life Events, chronic stress and allostatic load, health attitudes and behavior, social support, psychological well-being, personality factors, psychiatric disturbances and psychological symptoms  that these effective factors are socio-cultural dependent. In addition, most of the previous studies were conducted in clinical settings on a highly selective population.
Study strengths and limitations
The major strength of the current study is that we investigated the wide variety of psychometric properties of the PSQ-39 questionnaire in a large sample of general Persian language people. In the present study the symptoms were also evaluated in the most recent time of their occurrence from the participants; therefore, this may reduce the risk of recall bias. Despite these strengths, this study is not without limitations. We selected the sample only from Isfahan (located at central region of Iran); therefore, the representativeness of this sample for all Iranian populations or other Persian language countries should be interpreted with susceptibility. The identified clusters of somatoform symptoms, based on factor analysis, in our study is not completely similar to the 47-item original version, the possible explainable reasons are: different statistical methods used and more importantly the psychometric properties of the original 47-item questionnaire have not been evaluated by its developers. Another limitation of current study that should be addressed is: To evaluate the known-group validity, we did not access to a group of patients with a definite diagnosis of psychosomatic disorders versus healthy individuals.
The findings suggest that the Persian version of the psychosomatic symptoms’ questionnaire (PSQ-39) could produce reliable and valid measurements of psychosomatic symptoms in the Persian-speaking adult population. The PSQ-39 is self-report and easy to understand and takes nearly 20 min to be completed.
Availability of data and materials
All data generated or analyzed during this study are included in this article (as a supplementary file in SPSS format).
Psychosomatic Symptoms Questionnaire
Exploratory factor analysis
Confirmatory factor analysis
Area under the curve
Receiver Operating Characteristic
Medically unexplained symptoms
Cambodian Somatic Symptom and Syndrome Inventory
Somatic Symptom Scale
Brief Symptom Inventory
Bodily Distress Syndrome
Somatic symptom disorders-7
Patient Health Questionnaire
Ear, nose, and throat
Comparative Fit Index
Parsimony Comparative Fit Index
Parsimony Normed Fit Index
Root Mean Square Error of Approximation
36-Item Short-Form Health Survey
Role limitations due to physical health
Role limitations due to emotional problems
Budtz-Lilly A, Fink P, Ørnbøl E, Vestergaard M, Moth G, Christensen KS, Rosendal M A new questionnaire to identify bodily distress in primary care: The “BDS checklist.” J Psychosom Res 2015;78:536–545. doi:https://doi.org/10.1016/j.jpsychores.2015.03.006, 6.
Morton LK, Elliott A, Thomas R, Cleland J, Deary V, Burton C. Developmental study of treatment fidelity, safety and acceptability of a symptoms clinic intervention delivered by general practitioners to patients with multiple medically unexplained symptoms. J Psychosom Res. 2016;84:37–43. https://doi.org/10.1016/j.jpsychores.2016.03.008.
Haghighatdoost F, Feizi A, Esmaeilzadeh A, Hassanzadeh Keshteli A, Roohafza H, Afshar H, et al. Dietary patterns in relation with psychosomatic complaints profile: results from SEPAHAN study among a large sample of general adults. Nutr Neurosci. 2018;23(3):190–200. https://doi.org/10.1080/1028415X.2018.1485611.
Toussaint A, Kroenke K, Baye F, Lourens S. Comparing the Patient Health Questionnaire – 15 and the Somatic Symptom Scale – 8 as measures of somatic symptom burden. J Psychosom Res. 2017;101:44–50. https://doi.org/10.1016/j.jpsychores.2017.08.002.
Thortveit ET, Lorentzen ÅR, Ljøstad U, Mygland Å. Somatic symptoms and fatigue in a Norwegian population with high exposure to ticks. Ticks Tick Borne Dis. 2019;10(1):156–61. https://doi.org/10.1016/j.ttbdis.2018.09.012.
Joustra ML, Janssens KAM, Schenk HM, Rosmalen JGM. The four-week time frame for somatic symptom questionnaires reflects subjective symptom burden best. J Psychosom Res. 2017;2018(104):16–21. https://doi.org/10.1016/j.jpsychores.2017.11.006.
Zijlema WL, Stolk RP, Löwe B, Rief W, White PD, Rosmalen JGM. How to assess common somatic symptoms in large-scale studies: a systematic review of questionnaires. J Psychosom Res. 2013;74(6):459–68. https://doi.org/10.1016/j.jpsychores.2013.03.093.
van Driel TJW, Hilderink PH, Hanssen DJC, de Boer P, Rosmalen JGM, Oude Voshaar RC. Assessment of somatization and medically unexplained symptoms in later life. Assessment. 2018;25(3):374–93. https://doi.org/10.1177/1073191117721740.
Hinton DE, Kredlow MA, Bui E, Pollack MH, Hofmann SG. Treatment change of somatic symptoms and cultural syndromes among Cambodian refugees with PTSD. Depress Anxiety. 2012;29(2):148–55. https://doi.org/10.1002/da.20905.
Kocalevent R-D, Hinz A, Brähler E. Standardization of a screening instrument (PHQ-15) for somatization syndromes in the general population. BMC Psychiatr. 2013;13:1–8.
Gierk B, Kohlmann S, Kroenke K, Spangenberg L, Zenger M, Brähler E, et al. The somatic symptom scale–8 (SSS-8): a brief measure of somatic symptom burden. JAMA Intern Med. 2014;174(3):399–407. https://doi.org/10.1001/jamainternmed.2013.12179.
Derogatis LR, Unger R. Symptom checklist-90-revised. Corsini Encycl Psychol. 2010:1–2.
Boulet J, Boss MW. Reliability and validity of the brief symptom inventory. Psychol Assess a J Consult Clin Psychol. 1991;3:433.
Lacourt T, Houtveen J, van Doornen L. “Functional somatic syndromes, one or many?”: an answer by cluster analysis. J Psychosom Res. 2013;74(1):6–11. https://doi.org/10.1016/j.jpsychores.2012.09.013.
de Ruiter C, Garssen B, Rijken H, Kraaimaat F. The hyperventilation syndrome in panic disorder, agoraphobia and generalized anxiety disorder. Behav Res Ther. 1989;27(4):447–52. https://doi.org/10.1016/0005-7967(89)90015-6.
Ebrahimi A, Rief W, Mirshahzadeh P, Zanjani HA, Dehsorkhi HN, Roohafza H, et al. Psychometric properties of the Persian version of screening for somatic symptom Disorders-7 (SOMS-7). Iran J Psychiatry. 2018;13:264.
Abdolmohammadi K, Ghadiri Sourman Abadi F, Sadat Seyed Pourmand N, Falsafinejad MR. The validation of somatization inventory in the students of Tabriz Universities (Iran). Qom Univ Med Sci J. 2018;11:61–7.
Goodarzi M, Ahmadi SM, Asle Zaker Lighvan M, Rahmati F, Molavi M, Mohammadi M. Investigating the psychometric properties of the 8-item somatic symptom scale in non-clinical sample of Iranian people. Pract Clin Psychol. 2020;8:57–64.
Beaton DE, Bombardier C, Guillemin F, Ferraz MB. Guidelines for the process of cross-cultural adaptation of self-report measures. Spine (Phila Pa 1976). 2000;25:3186–91.
Montazeri A, Goshtasebi A, Vahdaninia M, Gandek B. The short form health survey (SF-36): translation and validation study of the Iranian version. Qual Life Res. 2005;14(3):875–82. https://doi.org/10.1007/s11136-004-1014-5.
Guillemin F, Bombardier C, Beaton D. Cross-cultural adaptation of health-related quality of life measures: literature review and proposed guidelines. J Clin Epidemiol. 1993;46(12):1417–32. https://doi.org/10.1016/0895-4356(93)90142-N.
Lynn MR. Determination and quantification of content validity. Nurs Res. 1986;35(6):382–6. https://doi.org/10.1097/00006199-198611000-00017.
Cook DA, Beckman TJ. Current concepts in validity and reliability for psychometric instruments: theory and application. Am J Med. 2006;119:166–e7.
Tinsley HEA, Brown SD. Handbook of applied multivariate statistics and mathematical modeling. Academic press; 2000.
Schreiber JB, Nora A, Stage FK, Barlow EA, King J. Reporting structural equation modeling and confirmatory factor analysis results: a review. J Educ Res. 2006;99(6):323–38. https://doi.org/10.3200/JOER.99.6.323-338.
Bolarinwa OA. Principles and methods of validity and reliability testing of questionnaires used in social and health science researches. Niger Postgrad Med J. 2015;22(4):195. https://doi.org/10.4103/1117-1936.173959.
Terwee CB, Bot SDM, de Boer MR, van der Windt DAWM, Knol DL, Dekker J, et al. Quality criteria were proposed for measurement properties of health status questionnaires. J Clin Epidemiol. 2007;60(1):34–42. https://doi.org/10.1016/j.jclinepi.2006.03.012.
Chen S-Y, Feng Z, Yi X. A general introduction to adjustment for multiple comparisons. J Thorac Dis. 2017;9(6):1725–9. https://doi.org/10.21037/jtd.2017.05.34.
Eliasen M, Jørgensen T, Schröder A, Dantoft TM, Fink P, Poulsen CH, et al. Somatic symptom profiles in the general population: a latent class analysis in a Danish population-based health survey. Clin Epidemiol. 2017;9:421–33. https://doi.org/10.2147/CLEP.S137167.
Eliasen M, Schröder A, Fink P, Kreiner S, Dantoft TM, Poulsen CH, et al. A step towards a new delimitation of functional somatic syndromes: a latent class analysis of symptoms in a population-based cohort study. J Psychosom Res. 2018;108:102–17. https://doi.org/10.1016/j.jpsychores.2018.03.002.
Heidari Z, Feizi A, Roohafza H, Keshteli AH, Adibi P. Somatoform symptoms profiles in relation to psychological disorders–a population classification analysis in a large sample of general adults. Psychiatry Res. 2017;254:173–8. https://doi.org/10.1016/j.psychres.2017.04.064.
Fink P, Toft T, Hansen MS, Ørnbøl E, Olesen F. Symptoms and syndromes of bodily distress: an exploratory study of 978 internal medical, neurological, and primary care patients. Psychosom Med. 2007;69(1):30–9. https://doi.org/10.1097/PSY.0b013e31802e46eb.
Fava GA, Sonino N, Wise TN. The Psychosomatic Assessment. Strategies to Improve Clinical Practice. Adv Psychosom Med. 2012;32:1–18.
We are grateful to all individuals who participated in our study. We also appreciate Dr. Tamara Lacourt and all staff of the Health Centers of Isfahan for their excellent cooperation.
This study was supported by Isfahan University of Medical Sciences (Project Number: 396963). The funding body was used in the design of the study and collection. The funding agency had no role in analysis, interpretation of data and in writing the manuscript.
Ethics approval and consent to participate
All participants received enough information about the study and also provided written informed consent. The design of the current study was approved by the Ethics Committee of Isfahan University of Medical Sciences.
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The authors report no conflicts of interest.
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Heidari, Z., Feizi, A., Rezaei, S. et al. Psychosomatic symptoms questionnaire (PSQ-39): a psychometric study among general population of Iranian adults. BMC Psychiatry 21, 269 (2021). https://doi.org/10.1186/s12888-021-03278-z
- Psychosomatic symptoms
- Bodily distress syndrome
- Medically unexplained symptoms