Skip to main content
Download PDF
Download ePub

Shoulder pain, shoulder disability, and depression as serial mediators between stress and health-related quality of life among middle-aged women

Health and Quality of Life Outcomes volume 20, Article number: 142 (2022) Cite this article

Abstract

Background

This study analyzed the mediating effects of shoulder pain, disability, and depression on the relationship between stress and health-related quality of life among middle-aged women using a serial mediation model. Methods. Data on stress, health-related quality of life, shoulder pain, shoulder disability, and depression were collected from 565 women aged 35–64 years living in Seoul, South Korea, from May 13 to 23, 2021, using a self-reported, structured survey. SPSS PROCESS macro (Model 6) and serial mediation analysis were used to analyze the relationship between stress and health-related quality of life among participants, with shoulder pain, shoulder disability, and depression as mediators. Results. The results indicate that stress had a statistically direct impact on health-related quality of life. In the serial mediation analysis, shoulder pain, disability, and depression were found to be statistically significant, thus affecting the relationship between stress and health-related quality of life, with an explanatory power of 33%. Therefore, the relationship between stress and health-related quality of life was partially mediated by these variables. Conclusions. Thus, this study suggests the need for healthcare workers to develop methods, such as exercise intervention programs based on various degrees and types of physical activity, to improve health-related quality of life and reduce stress caused by shoulder pain, shoulder disability, and depression among middle-aged women.

Background

Shoulder pain is the third most common musculoskeletal complaint among adults, with a lifetime incidence of ≥ 60% [1, 2]. It was found to persist for ≥ 12 months after the first onset in ≥ 60% of participants [3, 4]. Furthermore, it often becomes a chronic condition that makes life difficult and uncomfortable. It also causes functional impairment owing to degenerative changes in tissues and reduces patients’ health-related quality of life (HRQoL) [5].

Recently, the prevalence of shoulder pain has been observed in people in their 30s, and more commonly in those over 40 years of age. Several diseases such as adhesive capsulitis, rotator cuff tendinopathy, glenohumeral osteoarthritis, and neurological and vascular diseases cause shoulder joint problems. In general, women have lower muscle strength and athletic ability than men, especially because relaxation of their muscles is affected by female hormones, thus making them more prone to musculoskeletal diseases, including shoulder pain [6,7,8].

Shoulder pain and disability lower quality of life [9, 10]. An individual’s assessment of satisfaction with the physical, mental, social, and psychological aspects of life is defined as quality of life [11]. Assessing HRQoL to prevent diseases and promote health has gained increased attention in health-related research and practice [12].

Previous studies have reported a significant correlation between women and shoulder pain; however, such disabilities have not been fully addressed [13,14,15,16]. Previous studies have shown that functional disability is a significant factor influencing depression in older women [17]; however, few studies have focused on the relationship between shoulder pain, disability, and depression among middle-aged Korean women. Therefore, it is necessary to understand the relationship between shoulder pain, disability, and HRQoL in middle-aged Korean women.

A previous study reported that living with chronic pain correlates with and causes psychological stress [18]; therefore, people who have had negative experiences in life have a high risk of developing chronic musculoskeletal pain [19, 20]. In particular, the degree of perceived pain is high in older people and in those with higher stress levels [21]. Therefore, it is necessary to identify whether stress in middle-aged Korean women directly affects shoulder pain and to analyze how this relationship affects HRQoL.

Previous studies have shown that perceived stress is a known risk factor for chronic shoulder pain [22, 23] and that stress negatively affects quality of life [24]. Limited physical function [25] and depression [26] have been reported to lower the quality of life. Furthermore, depression is more common in patients with musculoskeletal disease, especially among those who find it difficult to perform daily activities [25]. Therefore, this study investigated the relationships between stress and shoulder pain, shoulder pain and disability, shoulder disability and depression, and depression and HRQoL.

According to previous studies, stress was correlated with pain [27, 28], disability [29], depression [30,31,32], and quality of life [33]. Pain was correlated with disability [34, 35], depression [36], and quality of life [34, 37]. Disability was correlated with depression and quality of life [34, 37,38,39,40]. Depression is correlated with quality of life [41]. According to the with or without concomitant depression, there were differences in symptoms, functioning, and quality of life in women with musculoskeletal pain.

These correlations, based on previous literature, are presented in Fig. 1 as a conceptual framework for the study. However, this study tested the causal relationship among stress (X), shoulder pain (M1), shoulder disability (M2), depression (M3), and quality of life (Y), as shown in Fig. 2, as a hypothetical model.

The transactional model of stress and coping, proposed by Lazarus and Folkman, describes stress pathways [42,43,44]. Their transactional model provides a theoretical framework for this study. The model suggests that the stress response is highly influenced by individual appraisal processes. Appraisals are believed to have an impact on the coping strategies chosen by individuals. Coping affects the immediate stress response as well as long-term health, psychological well-being, and social functioning (X↔M1, X↔M2, X↔M3, X↔Y) [44]. The pathways between stressors and stress response (stress) and long-term health, psychological well-being, and social functioning can be applied to the relationship between stress and health status (i.e., pain, disability, depression, and quality of life) proposed in this study. According to Lipowski [45] and the self-regulatory model of Leventhal et al. [46], cognitive representations of subjects with their own illnesses determine the coping behaviors adopted and, consequently, the illness outcome.

Based on previous research, this study identified the relationship between stress and HRQoL in middle-aged women and proposed a serial multiple mediation model to understand this relationship. It further investigated how stress directly and indirectly affects HRQoL through mediators, such as shoulder pain, shoulder disability, and depression. When these predicted relationships were determined, we validated the serial multiple mediation model to determine the extent to which each variable affected others. Overall, this study aimed to examine the effect of stress on HRQoL among middle-aged women. Our hypotheses were as follows: Hypothesis 1: Stress is negatively associated with quality of life among middle-aged women. Hypothesis 2: Shoulder pain plays a mediating role in the association between stress and quality of life. Hypothesis 3: Shoulder disability plays a mediating role in the association between stress and quality of life. Hypothesis 4: Depression mediates the association between stress and quality of life. Hypothesis 5: Shoulder pain, disability, and depression play a serial mediation role in the association between stress and quality of life.

Fig. 1
figure 1

A conceptual framework of the study

Full size image
Fig. 2
figure 2

A hypothetical model of the study

Full size image

Methods

This cross-sectional survey examined the relationship between stress and HRQoL in middle-aged women. All participants were recruited through personal contact with two community centers located in Seoul. Each community center had a monthly average of 500–1000 local residents. The researchers provided a questionnaire after obtaining informed consent with a voluntary decision before the participants entered the research. Data were anonymously collected from 589 women aged 35–64 years living in Seoul, South Korea. After considering the dropout rate, 565 participants were included in this study, ensuring an appropriate sample size. However, the common method bias in cross-sectional studies makes it difficult to accurately obtain an individual’s different sources and perceptions because of the use of consistent Likert-type scales.

Data were collected on May 13–23, 2021. The selection criteria for the study were as follows: (1) women aged 35–64 years and (2) ability to communicate and complete a self-report survey. The surveys were directly distributed to participants who provided written consent after being informed of the study purpose. In principle, the participants completed the questionnaire independently; they were supported by the research staff only if they required assistance.

Measurement

Depression

The self-reported Patient Health Questionnaire (PHQ)-9, used in screening for depression, was developed by Kroenke et al. [47], and the Korean version, adapted by Park et al. [35], was adapted for this study. It comprises nine items corresponding to the diagnostic criteria for major depression, based on the Diagnostic and Statistical Manual of Mental Disorders IV. The PHQ-9 evaluates the frequency of these symptoms over a two-week period. The response of each tool was evaluated on a 4-point Likert scale as follows: 0 for “never,” 1 for “a few days,” 2 for “more than one week,” and 3 for “almost every day.” Kroenke et al. [47] used a score ranging from 0 to 27 points, with four break points of the PHQ-9 that divided the level of depression into five groups according to severity of symptoms (minimal, 0–4; mild, 5–9; moderate, 10–14; moderate-to-severe, 15–19; and severe, 20 or more). However, Park et al. [35] suggested that depressive disorders can be suspected when the total PHQ-9 score is > 5 points. Their study [35] had a Cronbach’s alpha of 0.81, whereas the current study had a Cronbach’s alpha of 0.85, indicating higher reliability.

Shoulder pain and disability index

The shoulder pain and disability index was developed by Roach et al. [48] to evaluate the degree of pain and disability and adapted by Seo et al. [49]. It comprises 13 questions and is divided into two supplementary scales that include five questions in the pain subscale to evaluate the degree of pain and eight questions in the function/disability subscale to evaluate the degree of upper limb disability when performing different activities of daily living. Thirteen items were evaluated on a 10-point Likert scale, with 0 indicating no pain and 10 indicating very severe pain. The results from each tool were converted to a 100-point scale. The higher the score obtained using this tool, the greater is the degree of shoulder pain, damage, and disability. The Cronbach’s alpha in this study was 0.94, indicating high reliability.

Stress

The extent to which an individual perceived a specific stressful condition was measured. The Korean Perceived Stress Scale (PSS) was used to measure perceived stress, as adapted by Lee et al. [50] from the PSS developed by Cohen et al. [51]. The tool comprises 10 items that are assessed using a 5-point Likert scale ranging from never (0 points) to very often (4 points). In Lee et al. [50], the Cronbach’s alpha of this tool was 0.88, whereas it was 0.96, indicating a higher reliability. The total points ranged from 0 to 40, where 0–13 indicated low level stress, 14–26 indicated normal level stress, and 27–40 indicated high level stress.

Health-related quality of life

The 12-Item Short Form Health Survey (SF-12) developed for the Medical Outcomes Study by Ware et al. [52] was used to evaluate health-related quality of life in this study. The tool was divided into eight subregions for two main parts: a physical component summary (PCS-12) and a mental component summary (MCS-12). It comprises 12 items, and the score of each sub-region was converted into a range of 0–100 points, regardless of the number of items, according to the specified calculation method of the SF-12. A higher score indicates a higher quality of life. The SF-12 is often used to assess the quality of life in relation to health, and its reliability and validity have been proven for all ages [53]. Cronbach’s alpha was 0.86, indicating high reliability.

Ethical considerations

This study was conducted in accordance with the principles of the WMA Declaration of Helsinki and the study plan and process were approved by the Clinical Ethics Committee of Daejeon University. Written consent was obtained from all participants following a detailed explanation of the purpose and methods of the study before beginning the survey. Study participation was voluntary and participants could withdraw at any given time; the collected data were used for research purposes only. The guarantee of anonymity and autonomy of the participants was described. Survey data were stored in a secure cabinet.

Statistical analyses

All study data were processed using SPSS for descriptive statistics and correlation analysis. The values indicated that the histogram and–a Q-Q plot normally distributed data were suitable for multivariate normal distribution from the population. We checked the normality assumption of the main variables using the Kolmogorov-Smirnov test and skewness and kurtosis tests [54]. Pearson’s correlation coefficient was used to examine the association between variables. Correlation analysis and mediatory variable analysis were conducted to determine the significance of the analysis because univariate and multivariate normality conditions were provided. Regression analysis was performed to verify the mediating effect using the PROCESS macro for SPSS [55].

Hayes’s PROCESS macro (Model 6) was used to understand the mechanism of shoulder pain, shoulder disability, and depression in the relationship between stress and HRQoL. In serial mediation, mediating factors (shoulder pain, disability, and depression) are expected to directly and indirectly affect HRQoL. The serial mediation model helps identify the precedence between the three mediating variables in the relationship between stress and HRQoL. In this model, the first mediating variable (shoulder pain) sequentially affected the second mediating variable (shoulder disability), which in turn affected the third mediating variable (depression). Bootstrapping of the SPSS PROCESS macro was used to test the mediating effects in this study [55]. Using random sampling, 10,000 samples were generated and a 95% bias-corrected confidence interval (BC CI) was employed to analyze the mediating effects [56]. If the 95% CI did not cover zero, the effect was considered significant.

Results

Participants’ general characteristics

The general characteristics of the participants are presented in Table 1. Of the 589 participants who answered the survey, 565 were included in the analysis, excluding those with incomplete responses and those who dropped out of the study (response rate: 95.9%). Depression levels measured using the PHQ-9 showed that minimal depression was the most common (39.6%), followed by mild depression (35.4%).

Table 1 Descriptive statistics of study population (N = 565)
Full size table

Scores for shoulder pain, shoulder disability, depression, stress, and health-related quality of life

Table 2 shows the overall average score for HRQoL, PCS-12, MCS-12, depression, stress, shoulder pain, and shoulder disability. The average score for depression was 6.73 (5.14), which was ≥ 5 points according to the overall average, suggesting depressive disability.

Table 2 Scores for shoulder pain, shoulder disability, depression, stress, and health-related quality of life (N = 565)
Full size table

Correlations between shoulder pain, shoulder disability, depression, stress and health-related quality of life

The results were obtained by analyzing the correlations between the variables. HRQoL was negatively correlated with stress (r = − 0.249, p < 0.001), depression (r = − 0.261, p < 0.001), shoulder pain (r = − 0.103, p = 0.015), and shoulder disability (r = − 0.234, p < 0.001). Thus, the higher the stress, the worse the depression, and the more severe the shoulder pain and disability, the lower the HRQoL. Stress positively correlated with depression (r = 0.589, p < 0.001), shoulder pain (r = 0.221, p < 0.001), and shoulder disability (r = 0.228, p = 0.004). Depression positively correlated with shoulder pain (r = 0.357, p < 0.001) and shoulder disability (r = 0.366, p < 0.001). A positive correlation was found between shoulder pain and disability (r = 0.694, p < 0.001). Thus, the higher the stress, the worse the shoulder pain and disability and the higher the depression level. Moreover, when shoulder pain and disability were severe, the depression level was also high, and the worse the shoulder pain, the higher the shoulder disability.

Mediating effects

Table 3; Fig. 3 illustrate the findings of the tested model and how shoulder pain, disability, and depression mediate the relationship between stress and HRQoL in middle-aged women. Notably, there was a significant total effect (B = − 0.4408, SE = 0.0773, t = − 5.7020, p < 0.001) and direct effect (B = − 0.2598, SE = 0.0934, t = − 2.7816, p = 0.0056) of stress were found on HRQoL. The impact of stress on HRQoL was reduced when shoulder pain, shoulder disability, and depression were removed, but became significant when they were added to the model as mediators. The effect of the serial multiple mediation model was found to be statistically significant in predicting HRQoL based on shoulder pain, disability, and depression, and the explanatory power of the variables for HRQoL was 33% (R2 = 0.33, F = 16.671, p < 0.001).

The bootstrapped indirect effect of stress on HRQoL via shoulder pain, shoulder disability, and depression was significant (B = − 0.1809, SE = 0.0655, 95% BC CI [− 0.3157–0.0558]). The indirect effects of stress through mediators and the direct effects of stress were both found to be significant, indicating a partial mediating effect of shoulder pain, shoulder disability, and depression.

Fig. 3
figure 3

Results of multiple mediation model. ** p < 0.01

Full size image
Table 3 Total, direct, and indirect effects for multiple mediation model (N = 565)
Full size table

Discussion

This study evaluated the extent to which the underlying mechanisms of shoulder pain, disability, and depression mediate the relationship between stress and HRQoL in middle-aged women. Consistent with our conceptual framework, it was determined that: (1) stress negatively correlated with HRQoL; (2) shoulder pain, shoulder disability, and depression mediated the relationship between stress and HRQoL; and (3) these mediators had indirect effects on HRQoL in a sequential manner.

Similar to previous studies, our data also showed a close relationship between stress and HRQoL [57, 58]. Stress is a risk factor for poor physical and mental health [59]. Middle-aged Korean women experience more stressful events than men, as they perform different social roles within their families, including those related to pregnancy, giving birth, and childcare, and experience events such as separation, divorce, job loss, and the disease or death of family members. They often perform repetitive and unpaid household duties in addition to a fixed duration of working hours; therefore, compared to men, they are more vulnerable to stressors that threaten their social and daily lives [60]. Social support at work and home can positively impact an individual’s physical and mental health and reduce stress [61, 62]. Therefore, systematic family and social support should be provided to improve HRQoL and to reduce and control stress in middle-aged women.

In this study, stress had direct and indirect effects on HRQoL through shoulder pain and disability. Psychosocial factors, such as stress or anxiety, further activate pain perception [63, 64]. Shoulder pain often persists even after recovery [65] and, sometimes becomes a chronic condition (lasting for more than three months). It may occur in isolation or may be accompanied by neck or upper-back pain [66]. Humans can perceive stress and modify their responses accordingly. Therefore, to reduce shoulder pain or disability caused by stress, it is important to increase adjustment to stress and the threshold to endure it. As chronic pain and stress can be managed and controlled by proper exercise [67], it is necessary to conduct an intervention study in the future to control stress and pain by integrating exercise into the lives of middle-aged women.

This study showed that stress has direct and indirect effects on HRQoL, mediated by shoulder pain, disability, and depression. These results are consistent with those of previous studies [65, 68], indicating that the higher the depression, the lower the HRQoL, and the higher the pain, the higher the depression and lower the HRQoL [69]. The results of this study suggest that stress directly affects HRQoL and causes shoulder pain, shoulder disability, and depression, all of which have direct and indirect effects on HRQoL. Therefore, controlling and managing stress is important for improving the HRQoL. Stress has a secondary effect on physical symptoms, such as pain and disability, and mental symptoms, such as depression, as well as a negative effect on the quality of life.

Therefore, interventions that prevent and control stress caused by various complex factors experienced by middle-aged women should consider improving their physical and mental health. A previous study [67] reported that stress can be controlled through exercise and physical activity. Exercise has been reported to improve shoulder pain, shoulder disability, depression, and HRQoL [70, 71]. Therefore, future studies should develop an intervention program that includes various degrees and types of physical activity to reduce the stress experienced by women in their daily lives, restore their physical health if they have symptoms of physical health conditions and disabilities, and manage mental health conditions, such as depression, thereby helping and supporting them in a healthy and happy life.

Limitations

This study had several limitations. First, only participants living in Seoul, South Korea were included using convenience sampling. Therefore, the results of this study cannot necessarily be extrapolated to middle-aged women in other countries. Second, this study analyzed the relationship between stress, HRQoL, shoulder pain, shoulder disability, and depression using a self-report survey. Therefore, the cause-and-effect interpretations of these variables cannot be established. Future studies should analyze and interpret data using tools to perform a more detailed and objective evaluation of the various factors that affect HRQoL in middle-aged women. Despite these limitations, this study provides new insights into the relationship between stress and HRQoL and analyzes the degree of direct and indirect effects of shoulder pain, shoulder disability, and depression on stress. Furthermore, this study suggests that improving the HRQoL of middle-aged women and reducing stress necessitate the development of interventions to reduce and manage shoulder pain and disability, and reduce the depression caused by these physical symptoms.

Conclusion

This study analyzed the relationship between stress and HRQoL using serial mediation analysis. Therefore, the direct effect of stress on HRQoL was statistically significant. Additionally, according to the serial mediation analysis, the indirect effect of stress on HRQoL through shoulder pain, shoulder disability, and depression was found to be statistically significant, and the explanatory power of these variables affecting HRQoL was 33%. Thus, the study results highlight the importance of stress in maintaining HRQoL and suggest the need to develop specific health promotion programs (e.g., exercise programs) to reduce and control stress. These results further suggest that healthcare workers should develop and implement exercise intervention programs to reduce stress, shoulder pain, shoulder disability, and depression in middle-aged women. It is certain that consistent efforts, including exercise intervention programs and their evaluations, will enable middle-aged women to lead healthy lives and improve their HRQoL.

References

  1. van der Windt DA, Koes BW, de Jong BA, Bouter LM. Shoulder disorders in general practice: incidence, patient characteristics, and management. Ann Rheum Dis. 1995;54:959–64.

    Article  PubMed  PubMed Central  Google Scholar 

  2. Luime JJ, Koes BW, Hendriksen IJ, Burdorf A, Verhagen AP, Miedema HS, Verhaar JA. Prevalence and incidence of shoulder pain in the general population; a systematic review. Scand J Rheumatol. 2004;33:73–81.

    Article  CAS  PubMed  Google Scholar 

  3. van der Windt DA, Koes BW, Boeke AJ, Devillé W, De Jong BA, Bouter LM. Shoulder disorders in general practice: prognostic indicators of outcome. Br J Gen Pract. 1996;46:519–23.

    PubMed  PubMed Central  Google Scholar 

  4. Winters JC, Sobel JS, Groenier KH, Arendzen JH, Meyboom-de Jong B. The long-term course of shoulder complaints: a prospective study in general practice. Rheumatology (Oxford). 1999;38:160–3.

    Article  CAS  Google Scholar 

  5. MacDermid JC, Ramos J, Drosdowech D, Faber K, Patterson S. The impact of rotator cuff pathology on isometric and isokinetic strength, function, and quality of life. J Shoulder Elbow Surg. 2004;13:593–8.

    Article  PubMed  Google Scholar 

  6. Baghi R, Rahnama L, Karimi N, Goodarzi F, Rezasoltani A, Jaberzadeh S. Differential Activation of the Dorsal Neck Muscles During a Light Arm-Elevation Task in Patients With Chronic Nonspecific Neck Pain and Asymptomatic Controls: An Ultrasonographic Study. Pm r. 2017;9:699–706.

    Article  PubMed  Google Scholar 

  7. Lindbeck L, Kjellberg K. Gender differences in lifting technique. Ergonomics. 2001;44:202–14.

    Article  CAS  PubMed  Google Scholar 

  8. Shultz SJ. The effect of sex hormones on ligament structure, joint stability and ACL injury risk. In: Sex Hormones, Exercise and Women. Springer; 2017. pp. 113–38.

  9. Gutierrez DD, Thompson L, Kemp B, Mulroy SJ. The relationship of shoulder pain intensity to quality of life, physical activity, and community participation in persons with paraplegia. J Spinal Cord Med. 2007;30:251–5.

    Article  PubMed  PubMed Central  Google Scholar 

  10. Walankar PP, Panhale VP, Patil MM. Psychosocial factors, disability and quality of life in chronic shoulder pain patients with central sensitization. Health Psychol Res. 2020;8:8874.

    Article  PubMed  PubMed Central  Google Scholar 

  11. van Knippenberg FC, de Haes JC. Measuring the quality of life of cancer patients: psychometric properties of instruments. J Clin Epidemiol. 1988;41:1043–53.

    Article  PubMed  Google Scholar 

  12. Alzboon G, Vural G. Factors Influencing the Quality of Life of Healthy Pregnant Women in North Jordan. Medicina (Kaunas) 2019, 55.

  13. Dianat I, Bazazan A, Souraki Azad MA, Salimi SS. Work-related physical, psychosocial and individual factors associated with musculoskeletal symptoms among surgeons: Implications for ergonomic interventions. Appl Ergon. 2018;67:115–24.

    Article  PubMed  Google Scholar 

  14. Khosravi F, Amiri Z, Masouleh NA, Kashfi P, Panjizadeh F, Hajilo Z, Shanayii S, Khodakarim S, Rahnama L. Shoulder pain prevalence and risk factors in middle-aged women: A cross-sectional study. J Bodyw Mov Ther. 2019;23:752–7.

    Article  PubMed  Google Scholar 

  15. Treaster DE, Burr D. Gender differences in prevalence of upper extremity musculoskeletal disorders. Ergonomics. 2004;47:495–526.

    Article  CAS  PubMed  Google Scholar 

  16. Kwon I, Oh JJM, Sports Si. Exercise: Effects of 12 weeks of yoga program on muscle function and pain of shoulder in middle aged women with frozen shoulder. 2017, 15:511–520.

  17. Barry LC, Coman E, Wakefield D, Trestman RL, Conwell Y, Steffens DC. Functional disability, depression, and suicidal ideation in older prisoners. J Affect Disord. 2020;266:366–73.

    Article  PubMed  PubMed Central  Google Scholar 

  18. Generaal E, Vogelzangs N, Macfarlane GJ, Geenen R, Smit JH, de Geus EJ, Penninx BW, Dekker J. Biological stress systems, adverse life events and the onset of chronic multisite musculoskeletal pain: a 6-year cohort study. Ann Rheum Dis. 2016;75:847–54.

    Article  CAS  PubMed  Google Scholar 

  19. Abdallah CG, Geha P. Chronic Pain and Chronic Stress: Two Sides of the Same Coin? Chronic Stress (Thousand Oaks) 2017, 1.

  20. Sheng J, Liu S, Wang Y, Cui R, Zhang X. The Link between Depression and Chronic Pain: Neural Mechanisms in the Brain. Neural Plast. 2017;2017:9724371.

    Article  PubMed  PubMed Central  Google Scholar 

  21. White RS, Jiang J, Hall CB, Katz MJ, Zimmerman ME, Sliwinski M, Lipton RB. Higher Perceived Stress Scale scores are associated with higher pain intensity and pain interference levels in older adults. J Am Geriatr Soc. 2014;62:2350–6.

    Article  PubMed  PubMed Central  Google Scholar 

  22. Bongers PM, Kremer AM, ter Laak J. Are psychosocial factors, risk factors for symptoms and signs of the shoulder, elbow, or hand/wrist?: A review of the epidemiological literature. Am J Ind Med. 2002;41:315–42.

    Article  PubMed  Google Scholar 

  23. Larsson B, Søgaard K, Rosendal L. Work related neck-shoulder pain: a review on magnitude, risk factors, biochemical characteristics, clinical picture and preventive interventions. Best Pract Res Clin Rheumatol. 2007;21:447–63.

    Article  PubMed  Google Scholar 

  24. Bae YH, Min KS. Associations between work-related musculoskeletal disorders, quality of life, and workplace stress in physical therapists. Ind Health. 2016;54:347–53.

    Article  PubMed  PubMed Central  Google Scholar 

  25. Morken T, Riise T, Moen B, Bergum O, Hauge SH, Holien S, Langedrag A, Olson HO, Pedersen S, Saue IL, et al. Frequent musculoskeletal symptoms and reduced health-related quality of life among industrial workers. Occup Med (Lond). 2002;52:91–8.

    Article  CAS  Google Scholar 

  26. Oh J, Yi M. [Structural equation modeling on quality of life in older adults with osteoarthritis]. J Korean Acad Nurs. 2014;44:75–85.

    Article  PubMed  Google Scholar 

  27. Lundberg U, Dohns IE, Melin B, Sandsjö L, Palmerud G, Kadefors R, Ekström M, Parr D. Psychophysiological stress responses, muscle tension, and neck and shoulder pain among supermarket cashiers. J Occup Health Psychol. 1999;4:245–55.

    Article  CAS  PubMed  Google Scholar 

  28. Kuppens K, Struyf F, Nijs J, Cras P, Fransen E, Hermans L, Meeus M, Roussel N. Exercise- and Stress-Induced Hypoalgesia in Musicians with and without Shoulder Pain: A Randomized Controlled Crossover Study. Pain Physician. 2016;19:59–68.

    Article  PubMed  Google Scholar 

  29. Hall AM, Kamper SJ, Maher CG, Latimer J, Ferreira ML, Nicholas MK. Symptoms of depression and stress mediate the effect of pain on disability. Pain. 2011;152:1044–51.

    Article  PubMed  Google Scholar 

  30. Kessler RC. The effects of stressful life events on depression. Annu Rev Psychol. 1997;48:191–214.

    Article  CAS  PubMed  Google Scholar 

  31. Mino Y, Babazono A, Tsuda T, Yasuda N. Can stress management at the workplace prevent depression? A randomized controlled trial. Psychother Psychosom. 2006;75:177–82.

    Article  PubMed  Google Scholar 

  32. Hankin BL, Young JF, Abela JR, Smolen A, Jenness JL, Gulley LD, Technow JR, Gottlieb AB, Cohen JR, Oppenheimer CW. Depression from childhood into late adolescence: Influence of gender, development, genetic susceptibility, and peer stress. J Abnorm Psychol. 2015;124:803–16.

    Article  PubMed  PubMed Central  Google Scholar 

  33. Yeh YC. Symptom distress, stress, and quality of life in the first year of gynaecological cancers: A longitudinal study of women in Taiwan. Eur J Oncol Nurs. 2021;53:101984.

    Article  PubMed  Google Scholar 

  34. Ye AL, Adams W, Westbay LC, Fitzgerald CM. Evaluating Disability-Related Quality of Life in Women With Chronic Pelvic Pain. Female Pelvic Med Reconstr Surg. 2020;26:508–13.

    Article  PubMed  Google Scholar 

  35. Park S-J, Choi H-R, Choi J-H, Kim K-W, Hong J-PJA. mood: Reliability and validity of the Korean version of the Patient Health Questionnaire-9 (PHQ-9). 2010, 6:119–124.

  36. Barry DT, Pilver CE, Hoff RA, Potenza MN. Pain interference and incident mood, anxiety, and substance-use disorders: findings from a representative sample of men and women in the general population. J Psychiatr Res. 2013;47:1658–64.

    Article  PubMed  Google Scholar 

  37. Park S, Han HS, Kim GU, Kang SS, Kim HJ, Lee M, Park SH, Choi KH, Kim SH, Yeom JS. Relationships among Disability, Quality of Life, and Physical Fitness in Lumbar Spinal Stenosis: An Investigation of Elderly Korean Women. Asian Spine J. 2017;11:256–63.

    Article  PubMed  PubMed Central  Google Scholar 

  38. Ochoa-Morales A, Hernández-Mojica T, Paz-Rodríguez F, Jara-Prado A, Trujillo-De Los Santos Z, Sánchez-Guzmán MA, Guerrero-Camacho JL, Corona-Vázquez T, Flores J, Camacho-Molina A, et al. Quality of life in patients with multiple sclerosis and its association with depressive symptoms and physical disability. Mult Scler Relat Disord. 2019;36:101386.

    Article  CAS  PubMed  Google Scholar 

  39. Fekete C, Siegrist J, Post MWM, Brinkhof MWG. Productive activities, mental health and quality of life in disability: exploring the role enhancement and the role strain hypotheses. BMC Psychol. 2019;7:1.

    Article  PubMed  PubMed Central  Google Scholar 

  40. Ramadass S, Rai SK, Gupta SK, Kant S, Wadhwa S, Sood M, Sreenivas V. Prevalence of disability and its association with sociodemographic factors and quality of life in a rural adult population of northern India. Natl Med J India. 2018;31:268–73.

    Article  CAS  PubMed  Google Scholar 

  41. Jansen GB, Linder J, Ekholm KS, Ekholm J. Differences in symptoms, functioning, and quality of life between women on long-term sick-leave with musculoskeletal pain with and without concomitant depression. J Multidiscip Healthc. 2011;4:281–92.

    Article  PubMed  PubMed Central  Google Scholar 

  42. Lazarus RS: Psychological stress and the coping process. 1966.

  43. Lazarus RS, Folkman S. Stress, appraisal, and coping. Springer publishing company; 1984.

  44. Lazarus RS, Folkman SJEJop. Transactional theory and research on emotions and coping. 1987, 1:141–169.

  45. Lipowski ZJ. Physical illness, the individual and the coping processes. Psychiatry Med. 1970;1:91–102.

    Article  CAS  PubMed  Google Scholar 

  46. Leventhal H, Meyer D, Nerenz DJCtmp. The common sense representation of illness danger. 1980, 2:7–30.

  47. Kroenke K, Spitzer RL, Williams JB. The PHQ-9: validity of a brief depression severity measure. J Gen Intern Med. 2001;16:606–13.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  48. Roach KE, Budiman-Mak E, Songsiridej N, Lertratanakul Y. Development of a shoulder pain and disability index. Arthritis Care Res. 1991;4:143–9.

    Article  CAS  PubMed  Google Scholar 

  49. Seo H, Lee K, Jung K, Chung YJJSERS. Reliability and validity of the Korean version of shoulder pain and disability index. 2012, 51:319–336.

  50. Lee J, Shin C, Ko Y-H, Lim J, Joe S-H, Kim S, Jung I-K, Han CJKJoPM. The reliability and validity studies of the Korean version of the Perceived Stress Scale. 2012, 20:127–134.

  51. Cohen S, Kamarck T, Mermelstein R. A global measure of perceived stress. J Health Soc Behav. 1983;24:385–96.

    Article  CAS  PubMed  Google Scholar 

  52. Ware J Jr, Kosinski M, Keller SD. A 12-Item Short-Form Health Survey: construction of scales and preliminary tests of reliability and validity. Med Care. 1996;34:220–33.

    Article  PubMed  Google Scholar 

  53. Gandek B, Ware JE, Aaronson NK, Apolone G, Bjorner JB, Brazier JE, Bullinger M, Kaasa S, Leplege A, Prieto L, Sullivan M. Cross-validation of item selection and scoring for the SF-12 Health Survey in nine countries: results from the IQOLA Project. International Quality of Life Assessment. J Clin Epidemiol. 1998;51:1171–8.

    Article  CAS  PubMed  Google Scholar 

  54. Tabachnick BG, Fidell LS, Ullman JB: Using multivariate statistics. pearson Boston, MA; 2007.

  55. Hayes AF. Introduction to mediation, moderation, and conditional process analysis: A regression-based approach. Guilford publications; 2017.

  56. Shrout PE, Bolger N. Mediation in experimental and nonexperimental studies: new procedures and recommendations. Psychol Methods. 2002;7:422–45.

    Article  PubMed  Google Scholar 

  57. Qi M, Li P, Moyle W, Weeks B, Jones C. Physical Activity, Health-Related Quality of Life, and Stress among the Chinese Adult Population during the COVID-19 Pandemic. Int J Environ Res Public Health 2020, 17.

  58. Zhang H, Zhang Q, Gao T, Kong Y, Qin Z, Hu Y, Cao R, Mei S. Relations between Stress and Quality of Life among Women in Late Pregnancy: The Parallel Mediating Role of Depressive Symptoms and Sleep Quality. Psychiatry Investig. 2019;16:363–9.

    Article  PubMed  PubMed Central  Google Scholar 

  59. Vines AI, Ta M, Esserman D, Baird DDJW. health: A comparison of the occurrence and perceived stress of major life events in black and white women. 2009, 49:368–380.

  60. Williams D, Lawler KA. Stress and illness in low-income women: the roles of hardiness, John Henryism, and race. Women Health. 2001;32:61–75.

    Article  CAS  PubMed  Google Scholar 

  61. Blanco-Donoso LM, Garrosa E, Moreno-Jiménez B, de Almeida EC, Villela-Bueno SMJCP. Social job resources as sources of meaningfulness and its effects on nurses’ vigor and emotional exhaustion: A cross-sectional study among spanish nurses. 2017, 36:755–763.

  62. Luo Y, Sato Y. Relationships of Social Support, Stress, and Health among Immigrant Chinese Women in Japan: A Cross-Sectional Study Using Structural Equation Modeling. Healthcare (Basel) 2021; 9.

  63. Ortego G, Villafañe JH, Doménech-García V, Berjano P, Bertozzi L, Herrero P. Is there a relationship between psychological stress or anxiety and chronic nonspecific neck-arm pain in adults? A systematic review and meta-analysis. J Psychosom Res. 2016;90:70–81.

    Article  PubMed  Google Scholar 

  64. Turk DC, Wilson HD. Fear of pain as a prognostic factor in chronic pain: conceptual models, assessment, and treatment implications. Curr Pain Headache Rep. 2010;14:88–95.

    Article  PubMed  PubMed Central  Google Scholar 

  65. Engebretsen KB, Grotle M, Natvig B. Patterns of shoulder pain during a 14-year follow-up: results from a longitudinal population study in Norway. Shoulder Elb. 2015;7:49–59.

    Article  Google Scholar 

  66. Grooten WJ. Predictors for persistent neck/shoulder pain, medical care-seeking due to neck/shoulder pain and sickness absence. Clin Rehabil. 2007;21:648–59.

    Article  PubMed  Google Scholar 

  67. Stults-Kolehmainen MA, Sinha R. The effects of stress on physical activity and exercise. Sports Med. 2014;44:81–121.

    Article  PubMed  PubMed Central  Google Scholar 

  68. Han K, Yang S, Jia W, Wang S, Song Y, Cao W, Wang J, Liu M, He Y. Health-Related Quality of Life and Its Correlation With Depression Among Chinese Centenarians. Front Public Health. 2020;8:580757.

    Article  PubMed  PubMed Central  Google Scholar 

  69. Cherif F, Zouari HG, Cherif W, Hadded M, Cheour M, Damak R. Depression Prevalence in Neuropathic Pain and Its Impact on the Quality of Life. Pain Res Manag. 2020;2020:7408508.

    Article  PubMed  PubMed Central  Google Scholar 

  70. Koo K, Kim K. Effects of Different Types of Physical Activity on Health-Related Quality-of-Life in Korean Women with Depressive Disorder. Int J Environ Res Public Health 2021, 18.

  71. Tunwattanapong P, Kongkasuwan R, Kuptniratsaikul V. The effectiveness of a neck and shoulder stretching exercise program among office workers with neck pain: a randomized controlled trial. Clin Rehabil. 2016;30:64–72.

    Article  PubMed  Google Scholar 

Download references

Acknowledgements

We thank all those who have helped in carrying out the research and anonymous reviewers.

Funding

This research was supported by a National Research Foundation of Korea (NRF) grant funded by the Korean government (MSIT) (Grant number 2020R1C1C1015358) for study design, data collection, data analysis, interpretation, writing of the manuscript, and decision to submit and revise the manuscript, and the article processing charge according to the acceptance for publication was supported by the National Research Foundation of Korea (NRF) grant funded by the Korea government (MSIT) (No. 2022R1H1A2093192). 

Author information

Authors and Affiliations

  1. Department of Nursing, College of Nursing and Health, Kongju National University, 32588, Kongju, South Korea

    Jihyun Oh

  2. College of Nursing, Research Institute of Nursing Science, Kyungpook National University, 41944, Daegu, South Korea

    Myung Kyung Lee

Authors
  1. Jihyun Oh
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Myung Kyung Lee
    View author publications

    You can also search for this author in PubMed Google Scholar

Contributions

Conceptualization, JO; methodology, MKL; software, MKL; validation, JO; formal analysis, JO; investigation, JO; resources, MKL; data curation, MKL and JO; writing—original draft preparation, MKL and JO; writing—review and editing, MKL and JO; visualization, MKL and JO; supervision, MKL; project administration, MKL and JO. All authors have read and approved the final manuscript.

Corresponding author

Correspondence to Myung Kyung Lee.

Ethics declarations

Availability of supporting data

The datasets generated and/or analyzed during the current study are not publicly available but are available from the corresponding author upon reasonable request.

Ethical approval and consent to participate

The research was performed in accordance with the Declaration of Helsinki and must have been approved This study was conducted in accordance with the principles of the Declaration of Helsinki and the study plan and process were approved by the Clinical Ethics Committee of Daejeon University (1040647-202104-HR-023-02). Written consent was obtained from all the participants.

Consent for publication

Not applicable.

Competing interests

The authors declare that they have no competing interests.

Additional information

Publisher’s note

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

Rights and permissions

Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Oh, J., Lee, M.K. Shoulder pain, shoulder disability, and depression as serial mediators between stress and health-related quality of life among middle-aged women. Health Qual Life Outcomes 20, 142 (2022). https://doi.org/10.1186/s12955-022-02054-1

Download citation

  • Received:

  • Accepted:

  • Published:

  • DOI: https://doi.org/10.1186/s12955-022-02054-1

Keywords

Health and Quality of Life Outcomes

ISSN: 1477-7525

Contact us