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BRIEF RESEARCH REPORT article

Front. Physiol., 03 November 2022
Sec. Autonomic Neuroscience

Differences in pain, disability, and psychological function in low back pain patients with and without anxiety

Ying Jiang&#x;Ying Jiang1Yizu Wang&#x;Yizu Wang2Rui WangRui Wang3Xiaogang Zhang
Xiaogang Zhang1*Xueqiang Wang,
Xueqiang Wang3,4*
  • 1School of Rehabilitation Medicine, Binzhou Medical University, Yantai, Shandong, China
  • 2Department of Rehabilitation Medicine, Ruijin Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China
  • 3Department of Sport Rehabilitation, Shanghai University of Sport, Shanghai, China
  • 4Department of Rehabilitation Medicine, Shanghai Shangti Orthopaedic Hospital, Shanghai, China

Objectives: Non-specific low back pain affects people of all ages and is a leading contributor to disease burden worldwide. Chronic low back pain (LBP) reduces working hours, increases comorbidities, and increases rehabilitation needs. The aim of this study was to evaluate whether there were differences in pain, dysfunction, and psychological factors between two groups. The supplementary demonstrated the relationship between these influencing factors and anxiety.

Methods: A cross-sectional study was designed to analyze the differences in pain, disability, and psychological function in non-specific LBP patients with and without anxiety. In total, 60 subjects were divided into two groups based on self-rated anxiety scores: 30 patients with SAS score ≥50 were in the low back pain with anxiety group, and 30 for the LBP without anxiety group with SAS score <50. The pain intensity was assessed using the Visual Analog Scale; psychological function, using the Pain Anxiety Symptoms Scale, the Tampa Scale for Kinesiophobia, and the Fear Avoidance Beliefs Questionnaire; functional disability, using the Oswestry Disability Index and the Roland–Morris Disability Questionnaire; quality of life using 36-Item Short-Form Health Survey questionnaire; and the quality of sleep using Pittsburgh Sleep Quality Index, and the relationships between variables and anxiety scores were estimated using Spearman correlation analysis.

Results: A total of 60 participants were enrolled after self-rated anxiety was assessed and the full investigation was finished. The analyses showed significant differences of pain intensity (p = 0.034, disability (ODI, p = 0.007; RMDQ, p = 0.012) and psychological function (TSK, p = 0.000; PASS, p = 0.009; FABQ, p = 0.000; SF-36, p = 0.000; and PSQI, p = 0.000) between the two groups. Spearman correlation analysis showed that the anxiety score had significant positive correlations with functional disability (ODI, p = 0.004 and 95% CI = 0.112–0.573; RMDQ, p = 0.003, 95% CI = 0.135–0.586) and psychological function (TSK, p = 0.001, 95% CI = 0.174–0.612), excellent positive correlation with quality of sleep (PASS, p = 0.025, 95% CI = 0.031–0.512), and strongly negative correlations with the quality of life (SF-36, p = 0.000, 95% CI = 0.761–0.433).

Conclusion: We recognized that anxiety in low back pain patients was mainly due to interaction with the intensity of pain, disability level, and a mass of psychological function. The future research direction could be to alleviate the anxiety on the comprehensive efficacy of patients with low back pain.

Introduction

In recent years, low back pain (LBP) has become a common cause of musculoskeletal disorders which leads to disability, reduced work hours, and the need for rehabilitation (Chenot et al., 2017). In 2015, LBP was responsible for 60.1 million person-years lived with disability (YLD) (GBD 2015 Disease et al., 2016). The Global Burden of Diseases (GBDs) updated the prevalence data of the global burden of more than 300 diseases in 2019; as the proportion of LBP reached 39.77%, it ranked first among the risk factors of YLD in the world (GBD 2019 Diseases and Injuries Collaborators, 2020). It places a serious financial burden of healthcare both in the family and society (Urits et al., 2019). There are few articles that have estimated the global cost of LBP, and some changes in policy may even affect the cost of LBP; however, there is no denying that the economic impact of LBP is considerable, especially in high-income countries (Hartvigsen et al., 2018). LBP not only increases with age, but it is also becoming more common in adolescents (Patrick et al., 2014). That is why LBP has been steadily given great attention. Low back pain can be divided into specific low back pain and non-specific low back pain according to the identified etiology. Non-specific low back pain is the most common form of low back pain (Chenot et al., 2017). Although LBP patients generally recover in a short period of time, some people develop chronic low to moderate pain, intermittent or persistent (Vlaeyen et al., 2018). However, recurrence is also common, and LBP can become persistent and disabling (Hartvigsen et al., 2018). In addition to disability, psychology-related problems, such as anxiety, depression, and sleep disturbance, also trouble the patients of LBP (Alleva et al., 2016).

Any dysfunction has a variety of psychological effects, and many studies have shown that people with LBP have somatic, emotional, and psychological problems (Maniadakis and Gray, 2000; Pincus et al., 2002; Edmond et al., 2010; Adilay et al., 2018; Singhal et al., 2021); these factors influence the effectiveness of treatment outcomes (Pinheiro et al., 2016; Bijker et al., 2020). Psychological disturbances may cause chronic LBP, or result from it (Kjellgren et al., 2007). These disturbances include anxiety, depression, anger, and fear (Tekur et al., 2012). Chronic LBP is strongly correlated with anxiety (Kim et al., 2006). Patients with LBP have a higher likelihood of experiencing anxiety (9.5% versus 6.2%), followed by somatization (14.9% versus 8.3%) and depression (13.7% versus 8.5%) (Bener et al., 2013). Anxiety is associated with increased use of healthcare resources (Bailes et al., 2021). As studied previously, the majority of LBP patients who did not recover from physical therapy interventions were strongly associated with anxiety, depression, and fear of movement (George and Beneciuk, 2015). This evidence suggests that low back pain and anxiety are bidirectional and interactive. Therefore, more and more researchers are paying attention to LBP patients with anxiety, trying to improve the comprehensive symptoms of LBP by reducing anxiety. Pain relief and function improvement are connected with a reduction in anxious states (Joyce et al., 2021). Sleep disorders, pain-related dysfunction, and anxiety in chronic LBP patients can be improved by stabilization exercises (Akodu and Akindutire, 2018). Nevertheless, there are few articles about the influencing factors of anxiety in patients with LBP.

Awareness of the relationship between anxiety and characteristics such as pain, dysfunction, and mental factors in LBP patients provides important information that could be used to predict treatment effects and prognosis, and also help select the optimal treatment method and self-management. The Lancet Low Back Pain Series working group calls for the concept of living well with low back pain (Buchbinder et al., 2018): this means understanding and managing one’s health is important for maintaining the function of LBP patients. However, few studies focus on the differences in pain, function, and other psychological factors between low back pain patients with and without anxiety. Thus, there is a gap in the comprehensive treatment of patients with low back pain. Many studies have found the problem of anxiety in patients suffering from low back pain for a long time, but there is no study that discusses the differences in many functions of low back pain patients with or without anxiety. So, the objective of this study was to evaluate whether there were differences in pain, dysfunction, and psychological factors between the two groups. We hypothesized that low back pain patients with or without anxiety would differ in many functions. This study also supplementarily demonstrated the relationship between these influencing factors and anxiety.

Materials and methods

Study design

This was a cross-sectional study to analyze differences in pain, disability, and psychological function in LBP patients with and without anxiety. The investigation was performed in the Rehabilitation of Shanghai Shangti Orthopedic Hospital, Shanghai, China, from June 2021 to January 2022. The data collection was completed by the author RW, reducing the potential for error arising from different operators. All participants understood the process of the study and signed informed consent prior to the assessment. The Ethics Committee of Shanghai University of Sport approved this study (number 2018069).

Participants

The calculation of sample size was obtained from previous studies that reported the pain difference of low back pain patients with anxiety, through G-power (one tail; effect size, 0.65; ɑ, 0.05; power, 0.80; N2/N1, 1) (Stubbs et al., 2016). The results were 30 for each group, and the actual power was 0.800; finally, 60 participants were needed to complete the study. The Self-rating Anxiety Scale (SAS) was used to classify the participants into two groups: 30 for LBP with anxiety, and 30 for LBP without anxiety. The inclusion criteria are as follows: 1) all the participants were Chinese adults aged 18–65 years who suffered from non-specific chronic LBP (Chou et al., 2007), 2) the persistent presence of LBP lasting at least 50% of the time during the past 6 months, and 3) good cognition and ability to cooperate to complete various questionnaires. The patients with the following conditions were excluded: 1) specific LBP, such as spinal stenosis, severe scoliosis, and ankylosing spondylitis; 2) lumbar disability and/or pain caused by other conditions; 3) other severe and/or unstable chronic diseases; and 4) pregnant or lactating.

Measurements

Pain intensity

The pain intensity was assessed with a Visual Analog Scale (VAS), which is a self-reported scale using a 10-cm line to verbally describe the pain status indicated at each end (Dworkin et al., 2005). The higher the score, the more severe the pain (Chiarotto et al., 2019). VAS is popularly used in the assessment of low back pain because of its good reliability and validity (Shafshak and Elnemr, 2021). The study required participants to record their resting and severe VAS score according to their pain experience.

Psychological function

Zung Self-rating Anxiety Scale

The Zung Self-rating Anxiety Scale (SAS) is a commonly used self-rating scale for mental problems, which consists of 20 items that include both psychological and somatic anxiety symptoms (Dunstan and Scott, 2020). Each item is rated 1–4, where 1 means none, or a little of the time, and 4 means most or all of the time. The total score of SAS ranged from 20–80; a higher score indicates severe anxiety (Jegede, 1977; Dunstan et al., 2017). The standard score is a rough score (sum of each item) multiplied by 1.25, and anxiety is defined using the cut-off score of 50; the scale has good reliability (Cronbach α = 0.92) and can be used as an effective assessment tool for an anxiety state (Zung, 1971).

The Pain Anxiety Symptoms Scale

The Pain Anxiety Symptoms Scale (PASS) was used to measure the fear of pain and pain-related sensations (McCracken et al., 1992). The 40-item Pain Anxiety Symptoms Scale (PASS-40) comprises four subscales: cognitive anxiety (CA), fearful appraisal (FA), escape/avoidance (EA), and physiological anxiety (PA). Each item is scored from 0 (never) to 5 (always) (Babel, 2017). The higher the score, the greater the fear of pain and severe anxiety. PASS obtained good reliability (Cronbach α = 0.92, ICC = 0.90) in a simplified Chinese version (Zhou et al., 2017).

The Tampa Scale for Kinesiophobia

The Tampa Scale for Kinesiophobia (TSK) was developed to assess fear of movement-related pain in patients with musculoskeletal pain. TSK-17 is widely used; it contains 17 items, each item rated from 1 (strongly disagree) to 4 (strongly agree); and total scores vary from 17 to 68. A higher score indicates more fear of movement (Rosenbloom et al., 2020). The TSK has demonstrated good test–retest reliability (Swinkels-Meewisse et al., 2003) and good internal consistency (Cronbach alpha = 0.68–0.86) (Vlaeyen et al., 1995; Swinkels-Meewisse et al., 2003).

The Fear-Avoidance Beliefs Questionnaire

The Fear-Avoidance Beliefs Questionnaire (FABQ) focused on patients who thought about how physical activity (FABQ-P) and work (FABQ-W) affected their current low back pain (Waddell et al., 1993). FABQ is a 16-item self-reported questionnaire with each item rated from 0 to 6, the total score is 96, and higher values reflect increased levels of fear-avoidance beliefs (Wertli et al., 2014). It has been proved to have excellent internal consistency: for the FABQ total, α = 0.82; FABQ-P, α = 0.75; and FABQ-W, α = 0.85 (Pei et al., 2010). Understanding pain-related fears from a common sense perspective may allow physical therapists to provide a path to recovery for LBP patients and reduce fear by changing their understanding of pain (Bunzli et al., 2017).

Disability

The Oswestry Disability Index

The Oswestry Disability Index (ODI) is a self-assessment measurement scale primarily designed to assess the degree of disability in patients with low back pain (Poder and Carrier, 2021). Ten evaluation items are included in the ODI scale: personal care, pain intensity, walking, lifting, standing, sitting, sleep, work, traveling, and social life. Each item is rated from 0 (no pain at all) to 5 (extreme pain) on six levels (van Hooff et al., 2015; Kim et al., 2016). A high total score indicates poor function. Different versions of ODI show excellent test–retest reliability (ICC = 0.70–0.97) (Yu et al., 2016a; Gamus et al., 2016) and good internal consistency (0.72–0.97) (Aiyegbusi et al., 2017; Sandal et al., 2021).

The Roland–Morris Disability Questionnaire

The Roland–Morris Disability Questionnaire (RMDQ) was designed to evaluate dysfunction in patients with LBP, which comprises 24 questions closely related to LBP selected from 136 questions in the Sickness Impact Profile (Roland and Morris, 1983). The RMDQ can assess dysfunction in patients with LBP within 24 h, including walking, standing, bending, staying in bed, sleeping, dressing, daily activities, and self-care. The question is answerable by “yes” for 1 point and “no” for 0 point, and the total score for all questions is the actual score from the lowest 0 to the highest 24. A higher score shows a higher level of dysfunction (Beaton et al., 2000). RMDQ has excellent reliability (ICC = 0.91), good internal consistency (Cronbach’s alpha = 0.88) (Chala et al., 2021), and a moderate-to-excellent validity (Chiarotto et al., 2016).

Quality of life

The 36-Item Short Form Health Survey questionnaire (SF-36) is a very common scale for evaluating health-related quality of life (HRQoL) (Lins and Carvalho, 2016). The scale consists of 36 items that cover eight subscales related to physical and social functions, including pain and mental conditions (Ware and Sherbourne, 1992). The score of each subscale ranges from 0 to 100, and higher scores revealed better HRQoL (Bunevicius, 2017). It has been proved to have good cultural adaptation and validation (Li et al., 2003).

Quality of sleep

The Pittsburgh Sleep Quality Index (PSQI) is a self-reported questionnaire to assess sleep quality and disturbances for more than 1 month. The questionnaire has seven subscale scores of nineteen individual items (Buysse et al., 1989). Each subscale is scored from 0 to 3. The total PSQI score may range from 0 to 21, with higher scores showing poorer sleep quality (Telford et al., 2019). The reliability and validity of different versions were proved (Mollayeva et al., 2016).

Statistical analysis

Statistical analysis was conducted using SPSS version 23.0 (IBM Corporation, Armonk, NY, United States). The graph was drawn with GraphPad. We performed descriptive statistics on the baseline characteristics of two groups, after normal distribution was checked (p > 0.05); all numerical variables of the normal distribution are represented as mean ± standard deviation (SD), while abnormal distribution, in terms of the interquartile range (Q1–Q3). The chi-square test was used for the comparison between groups when the variables were classified variables. T-test was used to compare the differences in SF-36, PASS, FABQ-total, and FABQ-W between patients with and without anxiety because of its normal distribution. A non-parametric test was used to compare the differences in VAS, ODI, RMDQ, TSK, and PSQI between patients with and without anxiety, due to abnormal distribution. Spearman correlation analysis was carried out to analyze the relationships between pain intensity, disability, psychological function, quality of life and quality of sleep, and anxiety. The Spearman correlation coefficient might range from +1 (positive correlation) to −1 (negative correlation), as 0 indicates no association between the two variables, and greater values indicate stronger associations between variables; values were interpreted as little relationship, fair, moderate, and excellent relationship with values <0.25, 0.25–0.50, 0.50–0.75, and ≥0.75, respectively (Emami et al., 2018).

Result

A total of 60 participants were enrolled after SAS assessment and the full investigation was finished; 30 participants’ SAS score were lower than 50, and the other 30 participants’ SAS score were higher than 50. Table 1 shows the demographics and characteristics of all patients with chronic LBP. There were no differences in the baseline information of the two groups.

TABLE 1
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TABLE 1. Demographics and characteristics of patients with low back pain.

To examine whether two groups (low back pain with anxiety and low back pain without anxiety) differ in pain intensity, disability, and psychological function, we performed t-tests on two separate samples. Means, standard deviation, or interquartile range are presented in Figures 1, 2. The analyses show significant differences in pain intensity, disability, and psychological function between two groups with p-value less than 0.01 in SF-36 (z = 2.122, p = 0.000), PASS (z = 0.042, p = 0.009), FABQ total (z = 0.104, p = 0.000), FABQ-W (z = 0.109, p = 0.000), ODI (f = −2.686, p = 0.007), PSQI (f = −5.980, p = 0.000), and TSK (f = −3.773, p = 0.000), and less than 0.05 in RMDQ (f = −2.513, p = 0.012), FABQ-PA (f = −1.967, p = 0.049), VAS-R (f = 2.125, p = 0.034), and VAS-S (f = −2.084, p = 0.037). It indicates that LBP patients with anxiety had higher pain intensity and disability level, seemed more afraid of pain and pain-related activity, and had lower quality of life and sleep.

FIGURE 1
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FIGURE 1. Differences in pain and disability between the anxiety group (n = 30) and non-anxiety group (n = 30); (A) pain intensity in rest; (B) pain intensity in severe pain; (C) Oswestry Disability Index; and (D) Roland–Morris Disability Questionnaire.

FIGURE 2
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FIGURE 2. Differences in psychological function, quality of life, and quality of sleep between the anxiety group (n = 20) and non-anxiety group (n = 20); (A) Tampa Scale for Kinesiophobia; (B) Pain Anxiety Symptoms Scale; (C) Fear-Avoidance Beliefs Questionnaire’s total score; (D) Fear-Avoidance Beliefs Questionnaire in this work; (E) 36-Item Short Form Health Survey questionnaire; and (F) Pittsburgh Sleep Quality Index.

The Spearman correlation analysis was conducted to reveal the relationships between anxiety and pain intensity, disability, and psychological function in all patients. The results in Table 2 show that SAS score had significant positive correlations with PASS (r = 0.290, p = 0.025), ODI (r = 0.366, p = 0.004), RMDQ (r = 0.382, p = 0.003), PSQI (r = 0.738, p = 0.000), TSK (r = 0.416, p = 0.001), FABQ-W (r = 0.402, p = 0.001), FABQ total (r = 0.375, p = 0.003), and VAS-S (r = 0.413, p = 0.001), and strongly negative correlations with SF-36 (r = 0.624, p = 0.000). The quality of life and sleep were significantly correlated with anxiety symptoms of LBP.

TABLE 2
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TABLE 2. Spearman correlation analysis between SAS and each variable.

Discussion

Patients with low back pain who suffer from pain and dysfunction for a long time will be affected both mentally and physically. In recent years, it has become important to explore the related influencing factors of low back pain patients from multiple dimensions under the biopsychosocial model. This cross-section investigated the relationship between pain, disability, psychological function, and anxiety in LBP patients. We found that there were statistically significant differences between LBP patients with anxiety and those without anxiety in these aspects. However, severe pain score was not correlated with anxiety, and daily life quality and sleep quality were strongly correlated with anxiety, while TSK and FABQ-work were moderately correlated, and other factors were weakly correlated with anxiety.

Pain intensity is a common outcome measurement to assess the effect of therapy and quantify the degree of chronic LBP. It is a personal experience influenced by multidimensional factors, such as genetic, psychological, cultural, and social factors (Williams and Craig, 2016). There is a positive correlation between pain and anxiety in LBP patients, and the results of this study are in keeping with previous studies (Pakarinen et al., 2014; Stubbs et al., 2016), the possible mechanism is as follows: 1) multiple regions of the brain evoke pain responses through pathologic pathways of peripheral and central sensory input (e.g., sensory, anxiety, and other emotional perception), the descending pathways can promote or inhibit the nociceptive information because the descending pathway is a pain-regulating pathways lie because of this mechanism, that pain is affected by top–down vary and dynamic factors (such as feel the danger, anxiety, emotion, pain memory) that determine the result of pain experiences (Voscopoulos and Lema, 2010). 2) In chronic pain, this activity shifts to specific networks in the brain that process emotions (e.g., prefrontal cortex) (Hashmi et al., 2013); because of the interaction between physical and psychological systems, these changes affect how pain is expressed and experienced (Kucyi and Davis, 2015). However, the results of this study show that the most severe pain score is not correlated with anxiety (1B); we believe this happened possibly because anxiety is the result of excessive internal conflict that threatens oneself when experiencing low self-esteem and frustration for a long time, while patients tend to focus on the pain itself when experiencing severe pain.

ODI and RMDQ are popular in assessing dysfunction in patients with LBP; in recent years, many studies have focused on the relationship between psychological factors and disability. They found that dysfunction was weakly associated with mood (e.g., anxiety and depression) (Reneman et al., 2008; La Touche et al., 2019), which is consistent with the results of this study. If there is no improvement in functional activities or mobility over a long period of time, it can greatly increase the patient’s chances of anxiety; in contrast, low back pain patients accompanied by anxiety are more likely to relapse after relief of pain and dysfunction because anxiety is a risk factor for recurrence of low back pain. Compared to LBP without anxiety, those with anxiety focused more on negative thoughts and opinions about themselves, while the former focused on their health issues. For clinical workers, the treatment concepts and methods of the two groups should be different, and there are no articles about the treatment of the two groups at present.

Our results show that TSK and FABQ-W are moderately correlated with anxiety in LBP patients (2A and 2D). Kinesiophobia is a form of exercise protection; its value is that it can predict an individual’s degree of disability by comparing it to the intensity and duration of clinical symptoms, pain, and anxiety (Trocoli and Botelho, 2016). The main reasons for psychological factors affecting patients’ kinesiophobia are as follows: negative emotions, such as anxiety and depression, can exacerbate the patient’s fear of pain and exercise, which in turn can cause the patient to reduce rehabilitation exercise and daily activities; decreased activity reduces muscle strength and aerobic capacity, exacerbating negative emotions like irritability and frustration. Therefore, negative emotions and fear of movement are format interaction effects which result in a vicious circle. In addition, the work-related fears in LBP patients with anxiety are more evident: the possible reason may be that the work environment or occupational activities would cause low back pain symptoms; moreover, more attention should be paid to reducing the associated costs due to the high proportion of patients experiencing anxiety (Buchbinder and Jolley, 2004); furthermore, the sample population of our study is young and relatively tolerant against higher work-related stress.

Quality of life is a very important outcome of LBP patients, which is affected by multiple dimensions, primarily mobility, followed by anxiety or depression, and the conclusions of this study complement the findings by Cedraschi et al. (2016). The patients who have chronic musculoskeletal pain combined with psychosomatic factors (anxiety and depression) were correlated with more severe pain and greater daily activities than those who experienced pain alone. Previous studies (Bingefors and Isacson, 2004; Macfarlane et al., 2012; Hazeldine-Baker et al., 2018) have shown that chronic LBP patients with psychological disorders (mood and/or anxiety disorders) are highly associated with more severe pain and disability and dysfunctional management. In addition to the medical aspects of the disease, the quality of life is seriously impaired due to psychosocial problems, and QoL was negatively correlated with anxiety (Yeni et al., 2018).

Insomnia is very common among people with chronic pain, and is often thought to be a consequence of chronic pain, but the findings demonstrate a bidirectional relationship with pain (Eccleston et al., 2009; Pigeon et al., 2012). There is a close mutual effect between sleep disorders and central sensitization in people with chronic pain (Nijs et al., 2018). It has been proved that night insomnia can induce general hyperalgesia and anxiety state in healthy people (Schuh-Hofer et al., 2013). In this study, there is a strong positive correlation between sleep disturbance and anxiety in patients with LBP (2F): higher levels of sleep disturbance corresponded to greater anxiety symptoms. The result is in line with other similar articles (Yu et al., 2016b). Disrupted circadian rhythms may be responsible for the increased risk of mood disorders. It is important to assess sleep disturbances in LBP patients due to robust associations with fatigue, depression, and anxiety.

Limitations

Despite the new findings in this study, the following limitations still exist: 1) as a cross-sectional study, this study cannot determine causality; 2) a small sample size was included, and the conclusion about the predictive ability of the included factors was limited. Therefore, a longitudinal study with a larger sample size is needed to further explore the relationship and mechanism of various influencing factors in LBP patients.

Clinical implications and future research

Although the relationship between symptoms of LBP and anxiety is very weak in addition to the quality of life and quality of sleep, the problem still commonly exists in patients with LBP; in view of this, psychotherapy should be an integral part of a multidisciplinary rehabilitation training strategies, psychological consultant for patients with anxiety, and other negative emotions control strategy of education to improve their psychological state. In terms of the treatment of chronic LBP, we should pay attention to the emotional changes of patients as soon as possible, adopt the method of multidisciplinary cooperation and management to put forward targeted psychological intervention measures, so as to reduce the pain degree of patients and improve the psychological status of patients.

Conclusion

In this investigation, it was possible to identify some of the psychological and physiological characteristics involved in low back pain anxiety. To sum up, we recognized that anxiety in LBP patients interacts with the intensity of pain, disability level, and a mass of psychological function; therefore, these factors influence the effectiveness of treatment, and clinicians are recommended to pay attention to and offer the comprehensive evaluation and individual intervention.

Data availability statement

The raw data supporting the conclusion of this article will be made available by the authors, without undue reservation.

Ethics statement

The studies involving human participants were reviewed and approved by the Ethics Committee of Shanghai University of Sport. The patients/participants provided their written informed consent to participate in this study.

Author contributions

YJ and YW conceived and designed the study, and contributed equally to this work. YJ, YW, and RW drafted the manuscript. RW and XW performed the data collection. YJ, YW, and XZ performed the data analysis. All authors approved the final manuscript before submitting.

Funding

The Natural Science Foundation of Shandong Province (ZR2019BH069); the Shanghai Key Lab of Human Performance (Shanghai University of Sport) (11DZ2261100); the Shanghai Frontiers Science Research Base of Exercise and Metabolic Health; the Talent Development Fund of Shanghai Municipal (2021081); and the Shanghai Clinical Research Center for Rehabilitation Medicine (21MC1930200).

Acknowledgments

Shanghai Shangti Orthopaedic Hospital.

Conflict of interest

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Publisher’s note

All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors, and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.

References

Adilay U., Guclu B., Goksel M., Keskil S. (2018). The correlation of SCL-90-R anxiety, depression, somatization subscale scores with chronic low back pain. Turk. Neurosurg. 28, 434–438. doi:10.5137/1019-5149.JTN.19318-16.2

PubMed Abstract | CrossRef Full Text | Google Scholar

Aiyegbusi A. I., Akodu A. K., Agbede E. O. (2017). Reliability and validity of the Yoruba version of the Oswestry disability index. Niger. Postgrad. Med. J. 24, 103–106. doi:10.4103/npmj.npmj_26_17

PubMed Abstract | CrossRef Full Text | Google Scholar

Akodu A. K., Akindutire O. M. (2018). The effect of stabilization exercise on pain-related disability, sleep disturbance, and psychological status of patients with non-specific chronic low back pain. Korean J. Pain 31, 199–205. doi:10.3344/kjp.2018.31.3.199

PubMed Abstract | CrossRef Full Text | Google Scholar

Alleva J., Hudgins T., Belous J., Kristin Origenes A. (2016). Chronic low back pain. Dis. Mon. 62, 330–333. doi:10.1016/j.disamonth.2016.05.012

PubMed Abstract | CrossRef Full Text | Google Scholar

Babel P. (2017). The influence of state and trait anxiety on the memory of pain. Pain Med. 18, 2340–2349. doi:10.1093/pm/pnw354

PubMed Abstract | CrossRef Full Text | Google Scholar

Bailes A. H., Navlani R., Koscumb S., Malecky A., Marroquin O. C., Wasan A. D., et al. (2021). Use of healthcare resources in patients with low back pain and comorbid depression or anxiety. Spine J. 21, 1440–1449. doi:10.1016/j.spinee.2021.03.031

PubMed Abstract | CrossRef Full Text | Google Scholar

Beaton D. E., Bombardier C., Guillemin F., Ferraz M. B. (2000). Guidelines for the process of cross-cultural adaptation of self-report measures. Spine (Phila Pa 1976) 25, 3186–3191. doi:10.1097/00007632-200012150-00014

PubMed Abstract | CrossRef Full Text | Google Scholar

Bener A., Verjee M., Dafeeah E. E., Falah O., Al-Juhaishi T., Schlogl J., et al. (2013). Psychological factors: Anxiety, depression, and somatization symptoms in low back pain patients. J. Pain Res. 6, 95–101. doi:10.2147/JPR.S40740

PubMed Abstract | CrossRef Full Text | Google Scholar

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

PubMed Abstract | CrossRef Full Text | Google Scholar

Bingefors K., Isacson D. (2004). Epidemiology, co-morbidity, and impact on health-related quality of life of self-reported headache and musculoskeletal pain--a gender perspective. Eur. J. Pain 8, 435–450. doi:10.1016/j.ejpain.2004.01.005

PubMed Abstract | CrossRef Full Text | Google Scholar

Buchbinder R., Jolley D. (2004). Population based intervention to change back pain beliefs: Three year follow up population survey. Bmj 328, 321. doi:10.1136/bmj.328.7435.321

PubMed Abstract | CrossRef Full Text | Google Scholar

Buchbinder R., Van Tulder M., Öberg B., Costa L. M., Woolf A., Schoene M., et al. (2018). Low back pain: A call for action. Lancet 391, 2384–2388. doi:10.1016/S0140-6736(18)30488-4

PubMed Abstract | CrossRef Full Text | Google Scholar

Bunevicius A. (2017). Reliability and validity of the SF-36 health survey questionnaire in patients with brain tumors: A cross-sectional study. Health Qual. Life Outcomes 15, 92. doi:10.1186/s12955-017-0665-1

PubMed Abstract | CrossRef Full Text | Google Scholar

Bunzli S., Smith A., SchüTZE R., Lin I., O'Sullivan P. (2017). Making sense of low back pain and pain-related fear. J. Orthop. Sports Phys. Ther. 47, 628–636. doi:10.2519/jospt.2017.7434

PubMed Abstract | CrossRef Full Text | Google Scholar

Buysse D. J., Reynolds C. F., Monk T. H., Berman S. R., Kupfer D. J. (1989). The Pittsburgh sleep quality index: A new instrument for psychiatric practice and research. Psychiatry Res. 28, 193–213. doi:10.1016/0165-1781(89)90047-4

PubMed Abstract | CrossRef Full Text | Google Scholar

Cedraschi C., Luthy C., Allaz A. F., Herrmann F. R., Ludwig C. (2016). Low back pain and health-related quality of life in community-dwelling older adults. Eur. Spine J. 25, 2822–2832. doi:10.1007/s00586-016-4483-7

PubMed Abstract | CrossRef Full Text | Google Scholar

Chala M. B., Donnelly C., Wondie Y., Ghahari S., Miller J. (2021). Cross-cultural adaptation and validation of the Amharic version of Roland Morris Disability Questionnaire in people with low back pain in Ethiopia. Disabil. Rehabil. 44, 5638–5648. doi:10.1080/09638288.2021.1939798

PubMed Abstract | CrossRef Full Text | Google Scholar

Chenot J. F., Greitemann B., Kladny B., Petzke F., Pfingsten M., Schorr S. G. (2017). Non-specific low back pain. Dtsch. Arztebl. Int. 114, 883–890. doi:10.3238/arztebl.2017.0883

PubMed Abstract | CrossRef Full Text | Google Scholar

Chiarotto A., Maxwell L. J., Ostelo R. W., Boers M., Tugwell P., Terwee C. B. (2019). Measurement properties of visual analogue scale, numeric rating scale, and pain severity subscale of the brief pain inventory in patients with low back pain: A systematic review. J. Pain 20, 245–263. doi:10.1016/j.jpain.2018.07.009

PubMed Abstract | CrossRef Full Text | Google Scholar

Chiarotto A., Maxwell L. J., Terwee C. B., Wells G. A., Tugwell P., Ostelo R. W. (2016). Roland-morris disability questionnaire and Oswestry disability index: Which has better measurement properties for measuring physical functioning in nonspecific low back pain? Systematic review and meta-analysis. Phys. Ther. 96, 1620–1637. doi:10.2522/ptj.20150420

PubMed Abstract | CrossRef Full Text | Google Scholar

Chou R., Qaseem A., Snow V., Casey D., Cross J. T., Shekelle P., et al. (2007). Diagnosis and treatment of low back pain: A joint clinical practice guideline from the American College of physicians and the American pain society. Ann. Intern. Med. 147, 478–491. doi:10.7326/0003-4819-147-7-200710020-00006

PubMed Abstract | CrossRef Full Text | Google Scholar

Dunstan D. A., Scott N. (2020). Norms for zung's self-rating anxiety scale. BMC Psychiatry 20, 90. doi:10.1186/s12888-019-2427-6

PubMed Abstract | CrossRef Full Text | Google Scholar

Dunstan D. A., Scott N., Todd A. K. (2017). Screening for anxiety and depression: Reassessing the utility of the Zung scales. BMC Psychiatry 17, 329. doi:10.1186/s12888-017-1489-6

PubMed Abstract | CrossRef Full Text | Google Scholar

Dworkin R. H., Turk D. C., Farrar J. T., Haythornthwaite J. A., Jensen M. P., Katz N. P., et al. (2005). Core outcome measures for chronic pain clinical trials: IMMPACT recommendations. Pain 113, 9–19. doi:10.1016/j.pain.2004.09.012

PubMed Abstract | CrossRef Full Text | Google Scholar

Eccleston C., Williams A. C., Morley S. (2009). Psychological therapies for the management of chronic pain (excluding headache) in adults. Cochrane Database Syst. Rev. 11, Cd007407. doi:10.1002/14651858.CD007407.pub3

PubMed Abstract | CrossRef Full Text | Google Scholar

Edmond S. L., Werneke M. W., Hart D. L. (2010). Association between centralization, depression, somatization, and disability among patients with nonspecific low back pain. J. Orthop. Sports Phys. Ther. 40, 801–810. doi:10.2519/jospt.2010.3334

PubMed Abstract | CrossRef Full Text | Google Scholar

Emami F., Yoosefinejad A. K., Razeghi M. (2018). Correlations between core muscle geometry, pain intensity, functional disability and postural balance in patients with nonspecific mechanical low back pain. Med. Eng. Phys. 60, 39–46. doi:10.1016/j.medengphy.2018.07.006

PubMed Abstract | CrossRef Full Text | Google Scholar

Gamus D., Glasser S., Langner E., Beth-Hakimian A., Caspi I., Carmel N., et al. (2016). Psychometric properties of the Hebrew version of the Oswestry disability index. J. Back Musculoskelet. Rehabil. 30, 135–143. doi:10.3233/BMR-160726

PubMed Abstract | CrossRef Full Text | Google Scholar

GBD 2015 DiseaseInjuryIncidence Prevalence Collaborators (2016). Global, regional, and national incidence, prevalence, and years lived with disability for 310 diseases and injuries, 1990-2015: A systematic analysis for the global burden of disease study 2015. Lancet 388, 1545–1602. doi:10.1016/S0140-6736(16)31678-6

PubMed Abstract | CrossRef Full Text | Google Scholar

GBD 2019 DiseasesInjuries Collaborators (2020). Global burden of 369 diseases and injuries in 204 countries and territories, 1990-2019: A systematic analysis for the global burden of disease study 2019. Lancet 396, 1204–1222. doi:10.1016/S0140-6736(20)30925-9

PubMed Abstract | CrossRef Full Text | Google Scholar

George S. Z., Beneciuk J. M. (2015). Psychological predictors of recovery from low back pain: A prospective study. BMC Musculoskelet. Disord. 16, 49. doi:10.1186/s12891-015-0509-2

PubMed Abstract | CrossRef Full Text | Google Scholar

Hartvigsen J., Hancock M. J., Kongsted A., Louw Q., Ferreira M. L., Genevay S., et al. (2018). What low back pain is and why we need to pay attention. Lancet 391, 2356–2367. doi:10.1016/S0140-6736(18)30480-X

PubMed Abstract | CrossRef Full Text | Google Scholar

Hashmi J. A., Baliki M. N., Huang L., Baria A. T., Torbey S., Hermann K. M., et al. (2013). Shape shifting pain: Chronification of back pain shifts brain representation from nociceptive to emotional circuits. Brain 136, 2751–2768. doi:10.1093/brain/awt211

PubMed Abstract | CrossRef Full Text | Google Scholar

Hazeldine-Baker C. E., Salkovskis P. M., Osborn M., Gauntlett-Gilbert J. (2018). Understanding the link between feelings of mental defeat, self-efficacy and the experience of chronic pain. Br. J. Pain 12, 87–94. doi:10.1177/2049463718759131

PubMed Abstract | CrossRef Full Text | Google Scholar

Jegede R. O. (1977). Psychometric attributes of the self-rating anxiety scale. Psychol. Rep. 40, 303–306. doi:10.2466/pr0.1977.40.1.303

PubMed Abstract | CrossRef Full Text | Google Scholar

Joyce C., Roseen E. J., Keysor J. J., Gross K. D., Culpepper L., Saper R. B. (2021). Can yoga or physical therapy for chronic low back pain improve depression and anxiety among adults from a racially diverse, low-income community? A secondary analysis of a randomized controlled trial. Arch. Phys. Med. Rehabil. 102, 1049–1058. doi:10.1016/j.apmr.2021.01.072

PubMed Abstract | CrossRef Full Text | Google Scholar

Kim D. H., Han S. R., Choi C. Y., Sohn M. J., Lee C. H. (2016). Efficacy of pulsed radiofrequency medial branch treatment in low back pain patients. J. Back Musculoskelet. Rehabil. 29, 361–366. doi:10.3233/BMR-160668

PubMed Abstract | CrossRef Full Text | Google Scholar

Kim T. S., Pae C. U., Hong C. K., Kim J. J., Lee C. U., Lee S. J., et al. (2006). Interrelationships among pain, disability, and psychological factors in young Korean conscripts with lumbar disc herniation. Mil. Med. 171, 1113–1116. doi:10.7205/milmed.171.11.1113

PubMed Abstract | CrossRef Full Text | Google Scholar

Kjellgren A., Bood S. A., Axelsson K., Norlander T., Saatcioglu F. (2007). Wellness through a comprehensive yogic breathing program - a controlled pilot trial. BMC Complement. Altern. Med. 7, 43. doi:10.1186/1472-6882-7-43

PubMed Abstract | CrossRef Full Text | Google Scholar

Kucyi A., Davis K. D. (2015). The dynamic pain connectome. Trends Neurosci. 38, 86–95. doi:10.1016/j.tins.2014.11.006

PubMed Abstract | CrossRef Full Text | Google Scholar

La Touche R., PéREZ-FernáNDEZ M., Barrera-Marchessi I., LóPEZ-De-Uralde-Villanueva I., VillafañE J. H., Prieto-Aldana M., et al. (2019). Psychological and physical factors related to disability in chronic low back pain. J. Back Musculoskelet. Rehabil. 32, 603–611. doi:10.3233/BMR-181269

PubMed Abstract | CrossRef Full Text | Google Scholar

Li L., Wang H. M., Shen Y. (2003). Chinese SF-36 health survey: Translation, cultural adaptation, validation, and normalisation. J. Epidemiol. Community Health 57, 259–263. doi:10.1136/jech.57.4.259

PubMed Abstract | CrossRef Full Text | Google Scholar

Lins L., Carvalho F. M. (2016). SF-36 total score as a single measure of health-related quality of life: Scoping review. SAGE Open Med. 4, 2050312116671725. doi:10.1177/2050312116671725

PubMed Abstract | CrossRef Full Text | Google Scholar

Macfarlane G. J., Beasley M., Jones E. A., Prescott G. J., Docking R., Keeley P., et al. (2012). The prevalence and management of low back pain across adulthood: Results from a population-based cross-sectional study (the MUSICIAN study). Pain 153, 27–32. doi:10.1016/j.pain.2011.08.005

PubMed Abstract | CrossRef Full Text | Google Scholar

Maniadakis N., Gray A. (2000). The economic burden of back pain in the UK. Pain 84, 95–103. doi:10.1016/s0304-3959(99)00187-6

PubMed Abstract | CrossRef Full Text | Google Scholar

Mccracken L. M., Zayfert C., Gross R. T. (1992). The pain anxiety symptoms scale: Development and validation of a scale to measure fear of pain. Pain 50, 67–73. doi:10.1016/0304-3959(92)90113-p

PubMed Abstract | CrossRef Full Text | Google Scholar

Mollayeva T., Thurairajah P., Burton K., Mollayeva S., Shapiro C. M., Colantonio A. (2016). The Pittsburgh sleep quality index as a screening tool for sleep dysfunction in clinical and non-clinical samples: A systematic review and meta-analysis. Sleep. Med. Rev. 25, 52–73. doi:10.1016/j.smrv.2015.01.009

PubMed Abstract | CrossRef Full Text | Google Scholar

Nijs J., Mairesse O., Neu D., Leysen L., Danneels L., Cagnie B., et al. (2018). Sleep disturbances in chronic pain: Neurobiology, assessment, and treatment in physical therapist practice. Phys. Ther. 98, 325–335. doi:10.1093/ptj/pzy020

PubMed Abstract | CrossRef Full Text | Google Scholar

Pakarinen M., Koivumaa-Honkanen H., Sinikallio S., Lehto S. M., Aalto T., Airaksinen O., et al. (2014). Life dissatisfaction burden is associated with a poor surgical outcome among lumbar spinal stenosis patients: A 5-year follow-up study. Int. J. Rehabil. Res. 37, 80–85. doi:10.1097/MRR.0000000000000039

PubMed Abstract | CrossRef Full Text | Google Scholar

Patrick N., Emanski E., Knaub M. A. (2014). Acute and chronic low back pain. Med. Clin. North Am. 98, 777–789. xii. doi:10.1016/j.mcna.2014.03.005

PubMed Abstract | CrossRef Full Text | Google Scholar

Pei L. B., Xia J. J., Yan J. L. (2010). Cross-cultural adaptation, reliability and validity of the Chinese version of the fear avoidance beliefs questionnaire. J. Int. Med. Res. 38, 1985–1996. doi:10.1177/147323001003800612

PubMed Abstract | CrossRef Full Text | Google Scholar

Pigeon W. R., Moynihan J., Matteson-Rusby S., Jungquist C. R., Xia Y., Tu X., et al. (2012). Comparative effectiveness of CBT interventions for co-morbid chronic pain & insomnia: A pilot study. Behav. Res. Ther. 50, 685–689. doi:10.1016/j.brat.2012.07.005

PubMed Abstract | CrossRef Full Text | Google Scholar

Pincus T., Burton A. K., Vogel S., Field A. P. (2002). A systematic review of psychological factors as predictors of chronicity/disability in prospective cohorts of low back pain. Spine (Phila Pa 1976) 27, E109–E120. doi:10.1097/00007632-200203010-00017

PubMed Abstract | CrossRef Full Text | Google Scholar

Pinheiro M. B., Ferreira M. L., Refshauge K., Maher C. G., OrdoñANA J. R., Andrade T. B., et al. (2016). Symptoms of depression as a prognostic factor for low back pain: A systematic review. Spine J. 16, 105–116. doi:10.1016/j.spinee.2015.10.037

PubMed Abstract | CrossRef Full Text | Google Scholar

Poder T. G., Carrier N. (2021). Predicting SF-6Dv2 utility scores for chronic low back pain using the Oswestry Disability Index and Roland-Morris Disability Questionnaire. Expert Rev. pharmacoecon. Outcomes Res. 21, 105–110. doi:10.1080/14737167.2020.1755261

PubMed Abstract | CrossRef Full Text | Google Scholar

Reneman M. F., Geertzen J. H., Groothoff J. W., Brouwer S. (2008). General and specific self-efficacy reports of patients with chronic low back pain: Are they related to performances in a functional capacity evaluation? J. Occup. Rehabil. 18, 183–189. doi:10.1007/s10926-008-9129-0

PubMed Abstract | CrossRef Full Text | Google Scholar

Roland M., Morris R. (1983). A study of the natural history of low-back pain. Part II: Development of guidelines for trials of treatment in primary care. Spine (Phila Pa 1976) 8, 145–150. doi:10.1097/00007632-198303000-00005

PubMed Abstract | CrossRef Full Text | Google Scholar

Rosenbloom B. N., Pagé M. G., Isaac L., Campbell F., Stinson J. N., Cribbie R., et al. (2020). Fear of movement in children and adolescents undergoing major surgery: A psychometric evaluation of the Tampa scale for kinesiophobia. Eur. J. Pain 24, 1999–2014. doi:10.1002/ejp.1643

PubMed Abstract | CrossRef Full Text | Google Scholar

Sandal D., Jindal R., Gupta S., Garg S. K. (2021). Reliability and validity of Punjabi version of Oswestry Disability Index in patients with mechanical low back pain. J. Clin. Orthop. Trauma 13, 163–168. doi:10.1016/j.jcot.2020.11.011

PubMed Abstract | CrossRef Full Text | Google Scholar

Schuh-Hofer S., Wodarski R., Pfau D. B., Caspani O., Magerl W., Kennedy J. D., et al. (2013). One night of total sleep deprivation promotes a state of generalized hyperalgesia: A surrogate pain model to study the relationship of insomnia and pain. Pain 154, 1613–1621. doi:10.1016/j.pain.2013.04.046

PubMed Abstract | CrossRef Full Text | Google Scholar

Shafshak T. S., Elnemr R. (2021). The visual analogue scale versus numerical rating scale in measuring pain severity and predicting disability in low back pain. J. Clin. Rheumatol. 27, 282–285. doi:10.1097/RHU.0000000000001320

PubMed Abstract | CrossRef Full Text | Google Scholar

Singhal K., Muliyala K. P., Pakhare A. P., Behera P., Santoshi J. A. (2021). Do patients of chronic low back pain have psychological comorbidities? Avicenna J. Med. 11, 145–151. doi:10.1055/s-0041-1734385

PubMed Abstract | CrossRef Full Text | Google Scholar

Stubbs B., Koyanagi A., Thompson T., Veronese N., Carvalho A. F., Solomi M., et al. (2016). The epidemiology of back pain and its relationship with depression, psychosis, anxiety, sleep disturbances, and stress sensitivity: Data from 43 low- and middle-income countries. Gen. Hosp. Psychiatry 43, 63–70. doi:10.1016/j.genhosppsych.2016.09.008

PubMed Abstract | CrossRef Full Text | Google Scholar

Swinkels-Meewisse E. J., Swinkels R. A., Verbeek A. L., Vlaeyen J. W., Oostendorp R. A. (2003). Psychometric properties of the Tampa Scale for kinesiophobia and the fear-avoidance beliefs questionnaire in acute low back pain. Man. Ther. 8, 29–36. doi:10.1054/math.2002.0484

PubMed Abstract | CrossRef Full Text | Google Scholar

Tekur P., Nagarathna R., Chametcha S., Hankey A., Nagendra H. R. (2012). A comprehensive yoga programs improves pain, anxiety and depression in chronic low back pain patients more than exercise: An RCT. Complement. Ther. Med. 20, 107–118. doi:10.1016/j.ctim.2011.12.009

PubMed Abstract | CrossRef Full Text | Google Scholar

Telford O., Diamantidis C. J., Bosworth H. B., Patel U. D., Davenport C. A., Oakes M. M., et al. (2019). The relationship between Pittsburgh Sleep Quality Index subscales and diabetes control. Chronic Illn. 15, 210–219. doi:10.1177/1742395318759587

PubMed Abstract | CrossRef Full Text | Google Scholar

Trocoli T. O., Botelho R. V. (2016). Prevalence of anxiety, depression and kinesiophobia in patients with low back pain and their association with the symptoms of low back spinal pain. Rev. Bras. Reumatol. Engl. Ed. 56, 330–336. doi:10.1016/j.rbre.2016.02.010

PubMed Abstract | CrossRef Full Text | Google Scholar

Urits I., Burshtein A., Sharma M., Testa L., Gold P. A., Orhurhu V., et al. (2019). Low back pain, a comprehensive review: Pathophysiology, diagnosis, and treatment. Curr. Pain Headache Rep. 23, 23. doi:10.1007/s11916-019-0757-1

PubMed Abstract | CrossRef Full Text | Google Scholar

Van Hooff M. L., Spruit M., Fairbank J. C., Van Limbeek J., Jacobs W. C. (2015). The Oswestry disability index (version 2.1a): Validation of a Dutch language version. Spine (Phila Pa 1976) 40, E83–E90. doi:10.1097/BRS.0000000000000683

PubMed Abstract | CrossRef Full Text | Google Scholar

Vlaeyen J. W. S., Kole-Snijders A. M. J., Boeren R. G. B., Van Eek H. (1995). Fear of movement/(re)injury in chronic low back pain and its relation to behavioral performance. Pain 62, 363–372. doi:10.1016/0304-3959(94)00279-n

PubMed Abstract | CrossRef Full Text | Google Scholar

Vlaeyen J. W. S., Maher C. G., Wiech K., Van Zundert J., Meloto C. B., Diatchenko L., et al. (2018). Low back pain. Nat. Rev. Dis. Prim. 4, 52. doi:10.1038/s41572-018-0052-1

PubMed Abstract | CrossRef Full Text | Google Scholar

Voscopoulos C., Lema M. (2010). When does acute pain become chronic? Br. J. Anaesth. 105 (1), i69–i85. doi:10.1093/bja/aeq323

PubMed Abstract | CrossRef Full Text | Google Scholar

Waddell G., Newton M., Henderson I., Somerville D., Main C. J. (1993). A Fear-Avoidance Beliefs Questionnaire (FABQ) and the role of fear-avoidance beliefs in chronic low back pain and disability. Pain 52, 157–168. doi:10.1016/0304-3959(93)90127-b

PubMed Abstract | CrossRef Full Text | Google Scholar

Ware J. E., Sherbourne C. D. (1992). The MOS 36-ltem short-form health survey (SF-36). Med. Care 30, 473–483. doi:10.1097/00005650-199206000-00002

PubMed Abstract | CrossRef Full Text | Google Scholar

Wertli M. M., Rasmussen-Barr E., Weiser S., Bachmann L. M., Brunner F. (2014). The role of fear avoidance beliefs as a prognostic factor for outcome in patients with nonspecific low back pain: A systematic review. Spine J. 14, 816–836. e4. doi:10.1016/j.spinee.2013.09.036

PubMed Abstract | CrossRef Full Text | Google Scholar

Williams A. C. C., Craig K. D. (2016). Updating the definition of pain. Pain 157, 2420–2423. doi:10.1097/j.pain.0000000000000613

PubMed Abstract | CrossRef Full Text | Google Scholar

Yeni K., Tulek Z., Simsek O. F., Bebek N. (2018). Relationships between knowledge, attitudes, stigma, anxiety and depression, and quality of life in epilepsy: A structural equation modeling. Epilepsy Behav. 85, 212–217. doi:10.1016/j.yebeh.2018.06.019

PubMed Abstract | CrossRef Full Text | Google Scholar

Yu E.M E. M., Nosova E. V., Falkenstein Y., Prasad P., Leasure J. M., Kondrashov D. G. (2016a). Validation of a Russian language Oswestry disability index questionnaire. Glob. Spine J. 6, 636–639. doi:10.1055/s-0035-1570085

PubMed Abstract | CrossRef Full Text | Google Scholar

Yu J., Rawtaer I., Fam J., Jiang M. J., Feng L., Kua E. H., et al. (2016b). Sleep correlates of depression and anxiety in an elderly Asian population. Psychogeriatrics 16, 191–195. doi:10.1111/psyg.12138

PubMed Abstract | CrossRef Full Text | Google Scholar

Zhou X. Y., Xu X. M., Wang F., Wu S. Y., Yang Y. L., Li M., et al. (2017). Validations and psychological properties of a simplified Chinese version of pain anxiety symptoms scale (SC-PASS). Med. Baltim. 96, e5626. doi:10.1097/MD.0000000000005626

PubMed Abstract | CrossRef Full Text | Google Scholar

Zung W. W. (1971). A rating instrument for anxiety disorders. Psychosomatics 12, 371–379. doi:10.1016/S0033-3182(71)71479-0

PubMed Abstract | CrossRef Full Text | Google Scholar

Keywords: low back pain, anxiety, disability, psychology function, correlation

Citation: Jiang Y, Wang Y, Wang R, Zhang X and Wang X (2022) Differences in pain, disability, and psychological function in low back pain patients with and without anxiety. Front. Physiol. 13:906461. doi: 10.3389/fphys.2022.906461

Received: 28 March 2022; Accepted: 19 October 2022;
Published: 03 November 2022.

Edited by:

Vitor Engracia Valenti, São Paulo State University, Brazil

Reviewed by:

Syed Far Abid Hossain, BRAC University, Bangladesh
Walid Kamal Abdelbasset, Prince Sattam bin Abdulaziz University, Saudi Arabia

Copyright © 2022 Jiang, Wang, Wang, Zhang and Wang. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

*Correspondence: Xiaogang Zhang, wadne@126.com; Xueqiang Wang, wangxueqiang@sus.edu.cn

These authors have contributed equally to this work and share first authorship

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