BMC Psychiatry

, 18:131 | Cite as

Anxiety and depression in primary Sjögren’s syndrome: a cross-sectional study

  • Yafei Cui
  • Ling Xia
  • Lin li
  • Qian Zhao
  • Shengnan Chen
  • Zhifeng Gu
Open Access
Research article
Part of the following topical collections:
  1. Mood disorders

Abstract

Background

Prevalence of anxiety and depression is high in people with Primary Sjögren’s syndrome (pSS). However, there are currently no known reported studies about anxiety/depression in pSS patients from China. Our aim was to compare anxiety/depression in pSS patients and healthy controls; to investigate the prevalence of anxiety and/or depression among pSS patients in China; to evaluate its relationship with the disease activity, fatigue, pain, education, ocular surface disease, oral health, swallowing disorders, employment status, European League Against Rheumatism Sjögren’s Syndrome Patient Reported Index(ESSPRI) as well as to analyze potential determinants of anxiety and depression.

Methods

In this study, 160 pSS patients and 170 age- and sex- matched healthy controls were included. Participants completed self-administered questionnaires, Hospital Anxiety and Depression Scale (HADS) and so on. Independent samples t-tests, χ2 analyses and multivariable stepwise logistic regression modeling were used to analyze the data.

Results

We found 33.8% pSS patients were anxiety, and 36.9% had depression, which were significantly higher than controls. And there were significant correlations among education, employment status, disease activity, fatigue, ocular surface disease, ESSPRI, oral health, swallowing disorders and anxiety/depression. Meanwhile, logistic regression analysis revealed that oral health and swallowing disorders were significantly associated with anxiety in pSS patients; as well as fatigue was significantly associated with depression.

Conclusions

The prevalence of depression and anxiety was high in adult pSS patients. Interestingly, oral health and swallowing disorders were the most important predictors of anxiety in pSS patients. Therefore, rheumatologists should pay attention to the potential mental comorbidities while managing patients with pSS and provide the basis for mental health providers in order to identify effective strategies for preventing and treating depression and anxiety among adult pSS patients. Simultaneously, rheumatologists should also focus on the oral health and swallowing disorders in pSS patients.

Keywords

Primary Sjögren’s syndrome Depression Anxiety Disease activity 

Abbreviations

ESSDAI

European League Against Rheumatism Sjögren’s Syndrome Disease Activity Index

ESSPRI

European League Against Rheumatism Sjögren’s Syndrome Patient Reported Index

FSS

Fatigue severity scale

HADS

Hospital Anxiety and Depression Scale

HR-QoL

Health-related quality of life

MDADI

the M.D. Anderson Dysphagia Inventory

OHIP-14

the Oral Health Impact Profile 14

OSDI

the Ocular Surface Disease Index

pSS

Primary Sjögren’s syndrome

VAS

the Visual Analogue Scale

Background

Primary Sjögren’s syndrome (pSS) is a systemic rheumatic autoimmune disease characterized by dryness in eyes and mouth [1]. In addition, pSS also may cause extraglandular features, with patients experiencing symptoms of pain, fatigue, anxiety, depression and negatively affect psychological, physical and social functioning [2], which has eventually the potential to impair the health-related quality of life (HR-QoL) [3]. Meanwhile, a significantly higher prevalence of mental health disorders has been consistently demonstrated in pSS patients compared with the general population [4]. As the most frequent subjective symptoms reported, depression and anxiety often have profound impacts on pSS patients’ well-being including increased incidence of cardiovascular diseases [4], associated with several psychological disorders [5], working disability [6] and may lead to disease flares. Therefore, depression and anxiety may be useful targets for interventions aimed at improving subjective health and quality of life in individuals with pSS.

Anxiety and/or depression may cause a decreased level of physical activity and decreased compliance with therapy, which can lead to worsening of disease and poorer health outcomes. pSS is a chronic debilitating condition that mainly affects the patients emotionally [7]. A common mental health problem among adults with pSS is depression. Depression was more common in patients with pSS than health controls, with a prevalence of 32-45.8% [8]. Generally depression accompanies a number of illnesses characterized by chronic inflammatory response [9]. Depression in pSS patients has been related to continuous fatigue, decreased HR-QoL, loss of work productivity, enhanced levels of physical disability and medical costs [10, 11]. Notably, anxiety was more frequent than depression in pSS. Besides, depressed pSS patients have poorer prognosis, including various complications [3]. The aim of the present study was to investigate the prevalence and characteristics of anxiety and depression in pSS and to examine the relationships between disease activity, fatigue, pain, education, the ocular surface disease, oral health, swallowing disorders, employment status, ESSPRI and anxiety/depression. Moreover, we wished to explore the possible risk factors of anxiety and depression.

Methods

Participants

The study was carried out in the Afliated Hospital of Nantong University from July 2016 to June 2017. pSS patients were outpatients or inpatients and healthy controls were from a population for a checkup. Of 182 patients with pSS were consecutively recruited to join in a single cross-sectional study and 160 (87.91% of the patients) participated in and finished questionnaires finally. We matched them by age and sex to avoid a possible bias. This study was approved by the Ethics Committee of the Afliated Hospital of Nantong University (2017-K003), and all subjects signed an informed consent form. Criteria for inclusion were age 18 years and older; patients conformed to the American College of Rheumatology criteria for pSS [12]. Controls were removed if they shown other systemic diseases. There was no significant demographic difference between the two groups.

Main research tools

Participants finished self-administered questionnaires, Hospital Anxiety and Depression Scale (HADS), Fatigue Severity Scale (FSS), the Visual Analogue Scale (VAS) and so on. Additionally, the European League Against Rheumatism Sjögren’s Syndrome Disease Activity Index (ESSDAI) and Patient Reported Index (ESSPRI) were documented in patients.

Demographics and clinical variables

Demographic features contain the following: age, sex, marital status, education level, occupation, yearly per capita income, type of medical insurance, family history of Sjögren’s syndrome, disease duration, comorbidity(autoimmune liver disease, blood system disease, cardiovascular disease, kidney disease, lung disease, thyroid disease, myositis, etc), hospitalization(admission to a hospital for treatment due to Primary Sjögren’s syndrome ever). Clinical variables of disease duration and medications use were obtained by asking patients or viewing medical records.

Disease activity

EULAR Sjögren’s Syndrome Disease Activity Index (ESSDAI) is a clinical index assessed by rheumatologists to measure disease activity in pSS cases. There are 12 weighted fields (organ systems: cutaneous, respiratory, renal, articular, muscular, peripheral nervous system, central nervous system, haematological, glandular, constitutional, lymphadenopathy, biological), with a score ranging form 0-123 [13]. For each question, characteristics of disease activity are divided into three or four levels based on their severity [14]. Scores < 5 suggest “low disease activity”; 5 to 13 represent a “moderate disease activity”; and ≥ 14 indicate a “high disease activity” [15].

Patient reported index

EULAR Sjögren’s Syndrome Patient Reported Index (ESSPRI) tests the intensity of symptoms and contains three domains for dryness, pain and fatigue on 0-10 numerical scales then calculating an average of the three scores [16].

Hospital anxiety and depression scale

The Hospital Anxiety and Depression Scale (HADS) were used to measure levels of anxiety and depression, which is a self-assessment scale. Anxiety and depression were assessed respectively using the 7-item subscales, which were scored from 0 to 21 for each subscale. Scores between 0 and 7 suggest “no case”; 8 to 10 represent a “possible case”; and 11 to 21 indicate a “probable case of anxiety/depression”. Example items in the anxiety subscale include: “I can sit at ease and feel relaxed,” and “Worrying thoughts go through my mind.” Example items from the depressive subscale include: “I feel as if I am slowed down,” and “I still enjoy things I used to enjoy.” These cutoff points have been validated against clinical interviews with sensitivity and specificity approximately 0.80. Studies have reported good internal consistency for both anxiety (0.89) and depression (0.86) [17, 18].

Other related scales

The Ocular Surface Disease Index (OSDI) [19] assesses symptoms of ocular irritation consistent with dry eye disease and their impact on vision-related function. The total OSDI score ranges from 0 to 100, with higher scores indicating more severe symptoms. And it has been validated in Chinese populations [20]; the M.D. Anderson Dysphagia Inventory (MDADI) [21] measures patient’s swallowing disorders and the Oral Health Impact Profile 14 (OHIP-14) [22] was used to survey oral distress(score ranges from 0 to 100, with higher scores indicating more severe symptoms).

Data analysis

Data were analyzed using the computer program, SPSS 21. The data were shown as means ± SD for continuous data and as frequencies (%) for categorical data. Variables were used univariate tests (independent samples t-tests and χ2 tests) of the group difference. Correlation analysis was used for exploration of the relation between two variables. All variables with a significant association with anxiety/depression were entered into a multiple stepwise logistic regression model with the dichotomous anxiety/depression as the dependent variable, to explore the predictors of psychological status. P < 0.05(two-tail) was considered statistically significant.

Results

Patient features

22 pSS patients and 16 controls didn’t complete the questionnaires, resulting in the admission of 160 pSS patients and 170 healthy subjects with matched age and sex in this study. The mean age of pSS patients was 50.54 ± 12.22 years and the mean disease duration was 4.5 years. Demographic, clinical, and laboratory characteristics of pSS patients and controls are shown in Table 1. Anti-SSA antibody and anti-SSB antibody were positive in 85 (81%) and 53 (50.5%), respectively. 55 outpatients did not perform the anti-SSA antibody and antiSSB antibody examination and 57 outpatients did not perform the RF examination. 114 (71.3%) pSS patients showed moderate to high disease activity (ESSDAI ≥5). The score of depression is higher in pSS patients than controls(6.71 ± 4.32 vs 3.87 ± 2.80). And the score of anxiety is higher in pSS patients than controls(6.52 ± 4.06 vs 3.02 ± 2.78). There was no significant difference in the age, sex, marital status, education level, occupation, income/year between the two groups (P > 0.05).
Table 1

summarizes the demographic and clinical characteristics of the participants in the study

Clinical characteristics

pSS(n = 160)

Controls(n = 170)

t/x 2

p

Age, mean ± sd years

51.09 ± 12.11

50.14 ± 11.22

0.32

0.446

Gender, female, no. (%)

152(95)

162(95.3)

0.02

0.901

Marital status, no. (%)

  

3.50

0.061

 Married

151 (94.4)

167 (98.2)

  

 Other marital status

9 (5.6)

3 (1.8)

 

Education, years

12.19 ± 4.33

12.03 ± 4.62

0.33

0.740

Employment status, no. (%)

  

1.28

0.259

 Employed

71(44.4)

86(50.6)

  

 Unemployed

89(55.6)

84(49.4)

 

Income/person/year, yuan, no. (%)

  

1.65

0.569

  < 15,000 yuan

55 (34.37)

49(28.8)

  

 15,000-33,000 yuan

49 (30.63)

62(36.5)

 

  ≥ 33,000 yuan

56(35)

59(34.7)

 

Type of medical insurance, n (%)

  

4.33

0.115

 With basic medical insurance

146(91.3)

164(96.5)

  

 Self-pay

13(8.1)

6(3.5)

 

 Other

1(0.6)

0(0)

 

HADS-A, mean ± sd

6.52 ± 4.06

3.02 ± 2.78

9.08

0.000

HADS-D, mean ± sd

6.71 ± 4.32

3.87 ± 2.80

7.05

0.000

Disease duration, mean ± sd years

4.498 ± 5.44

 

OSDI, mean ± sd

29.14 ± 25.12

 

VAS pain (range 0–10), mean ± sd

2.36 ± 2.65

 

ESR, mean ± sd mm/h

30.65 ± 24.13

 

RF positivity, yes, no. (%)

51(49.5)

 

Hospitalization, yes, n (%)

108(67.5)

 

Family history, yes, n (%)

23(14.4)

 

Comorbid conditions, yes, n (%)

102(63.75)

 

ESSDAI

9.6 ± 7.3

 

ESSPRI

4.53 ± 1.95

 

FSS

3.89 ± 1.59

1.64 ± 0.89

15.76

0.000

OHIP-14

12.89 ± 11.38

3.41 ± 4.92

9.29

0.000

MDADI

72.33 ± 18.83

 

IgG (g/L)

18.93 ± 6.65

 

C3 (g/L)

0.81 ± 0.27

 

C4 (g/L)

0.18 ± 0.65

 

ANA ≥1: 320

96(91.4)

 

Anti-SSA ≥ 200 RU/mL

85(81)

 

Anti-SSB ≥ 20 RU/mL

53(50.5)

 

VAS visual analog scale, ESR erythrocyte sedimentation rate, RF rheumatoid factor, HADS hospital anxiety and depression scale, HADS-A hospital anxiety scale, HADS-D hospital depression scale, ESSDAI EULAR Sjögren’s syndrome disease activity index, ANA antinuclear antibodies, IgG Immunoglobulin G, C3 complement C3, C4 complement C4, OSDI the ocular surface disease index

Differences between anxiety/depression and non-anxiety/depression patients

As indicated in Table 2, demographic, clinical and psychological variables were compared between anxiety/depression and non-anxiety/depression pSS patients. Depressed pSS patients had more serious disease activity, higher ESR scores and unemployment rate, lower education level, severer total pain, compared with non-depression patients (p < 0.05). However, no similar results were found in anxiety. For age, gender, marital status, disease duration, type of medical insurance, complication, hospitalization and family history, no statistically significant difference was found between the two groups (P>0.05). Enhanced pain, physical limitations, and fatigue may be interpreted as increased activity of these diseases.
Table 2

Differences between different factors of anxiety/depression and non-anxiety/depression patients

Clinical characteristics

non-anxiety

Anxiety

p

non-depression

depression

p

Age, mean ± sd yearsa

50.08 ± 11.90

51.44 ± 12.90

0.508

49.69 ± 11.96

51.12 ± 12.68

0.228

Gender, female, no. (%)b

100(94.3)

55 (96.3)

0.878

97(96)

55 (93.2)

0.679

Marital status, no. (%)b

  

1.000

  

0.401

 Married

100 (94.3)

51 (94.4)

 

97 (96)

54 (91.5)

 

 Other marital status

6 (5.7)

3 (5.6)

 

4 (4)

5 (8.5)

Education, years, no. (%)a

12.43 ± 4.42

11.72 ± 4.16

0.327

13.00 ± 3.96

10.81 ± 4.62

0.002*

Employment status, no. (%)b

  

0.064

  

0.049*

 Employed

53 (50)

18 (33.3)

 

51 (50.5)

20 (33.9)

 

 Unemployed

53 (50)

36 (66.7)

 

50 (49.5)

39 (66.1)

Income/person/year, yuan, no. (%)b

  

0.423

  

0.094

  < 15,000 yuan

34 (32.1)

21 (38.9)

 

31 (30.7)

24 (40.7)

 

 15,000-33,000 yuan

36 (34)

13 (24.1)

 

37 (36.6)

12 (20.3)

  ≥ 33,000 yuan

36 (34)

20 (37)

 

33 (32.7)

23 (39)

Type of medical insurance, n (%)b

  

0.749

  

0.660

 With basic medical insurance

96 (90.6)

50 (92.6)

 

91 (90.1)

55 (93.2)

 

 Self-pay

9 (8.5)

4 (7.4)

 

9 (8.9)

4 (6.8)

 Other

1 (0.9)

0 (0)

 

1 (1)

0 (0)

Disease duration, mean ± sd yearsa

4.48 ± 5.61

4.53 ± 5.15

0.957

4.30 ± 4.72

4.83 ± 6.53

0.557

VAS pain (range 0–10), mean ± sda

2.12 ± 2.51

2.83 ± 2.98

0.127

2.35 ± 1.95

3.07 ± 2.99

0.016*

ESR, mean ± sd mm/ha

28.10 ± 21.38

35.87 ± 28.47

0.085

27.10 ± 20.04

36.78 ± 29.10

0.027*

OSDI, mean ± sda

25.07 ± 22.40

37.15 ± 28.28

0.008*

23.82 ± 20.81

38.26 ± 29.14

0.001*

RF positivity, yes, no. (%)b

29 (46)

22 (55)

0.422

30 (49.2)

21 (50)

1.000

Hospitalization, yes, n (%)b

68 (64.2)

40 (74.1)

0.218

68 (67.3)

40 (67.8)

1.000

Family history, yes, n (%)b

15 (14.2)

8 (14.8)

1.000

17 (16.8)

6 (10.2)

0.351

Comorbid conditions, yes, n (%)b

66 (62.3)

36 (66.7)

0.607

61 (60.4)

41 (69.5)

0.307

ESSDAIa

9.16 ± 7.73

10.48 ± 6.37

0.281

8.73 ± 7.35

11.10 ± 7.03

0.047*

IgG (g/L)a

19.05 ± 6.72

18.72 ± 6.60

0.806

18.99 ± 6.54

18.84 ± 6.85

0.909

C3 (g/L)a

0.80 ± 0.26

0.82 ± 0.28

0.781

0.80 ± 0.24

0.82 ± 0.30

0.632

C4 (g/L)a

0.18 ± 0.07

0.17 ± 0.06

0.627

0.18 ± 0.66

0.17 ± 0.06

0.552

ANA ≥1: 320b

61 (91)

35 (92.1)

1.000

60 (93.8)

36 (87.8)

0.481

Anti-SSA ≥ 200 RU/mLb

54 (80.6)

31 (81.6)

1.000

50 (78.1)

35 (85.4)

0.449

Anti-SSB ≥ 20 RU/mLb

32 (47.8)

21 (55.3)

0.544

29 (45.3)

24 (58.5)

0.231

VAS visual analog scale, ESR erythrocyte sedimentation rate, RF rheumatoid factor, HADS hospital anxiety and depression scale, ESSDAI EULAR Sjögren’s syndrome disease activity index, ANA antinuclear antibodies, IgG immunoglobulin G, C3 complement C3, C4 complement C4, OSDI the ocular surface disease index.* = p<0.05; a = t-tests; b = χ2 analyses

Correlations among fatigue, disease activity and the HADS-depression/anxiety in pSS patients

As shown in Table 3, we found there were significant correlations among pain, employment status, fatigue, the ocular surface disease, swallowing disorders and oral health were significantly associated with the HADS-depression (p < 0.05). In addition, fatigue, disease activity, ESSPRI, employment status, the ocular surface disease, swallowing disorders and oral health were significantly associated with the HADS-anxiety (p < 0.05).
Table 3

Correlations among fatigue, pain, education etc. and the HADS-depression/anxiety in pSS patients

correlative variable

Anxiety

depression

r

p

r

p

OHIP

−0.353

0.000**

−0.228

0.004**

OSDI

−0.228

0.004**

− 0.278

0.000**

FSS

−0.215

0.006**

−0.358

0.000**

Pain

−0.127

0.109

−0.204

0.010**

ESSDAI

−0.086

0.281

−0.157

0.047*

ESSPRI

− 0.169

0.053

−0.268

0.002**

Education

0.078

0.327

0.244

0.002**

Employment status

0.159

0.045*

0.161

0.042*

Swallowing disorders

0.398

0.000**

0.233

0.003**

*p<0.05;* * p<0.01

Logistic regression analysis for the HADS-anxiety and depression

We used logistic regression analysis to investigate predictors of anxiety and depression, the result revealed oral health(odds ratio = 0.956; P<0.05) and swallowing disorders(odds ratio = 1.036; P<0.05) were significantly associated with the HADS-anxiety in pSS patients, which means oral health and swallowing disorders were the predictors of anxiety in pSS patients(Table 4). Meanwhile, fatigue(odds ratio = 0.587; P<0.05) was significantly accounted for the HADS-depression (Table 5).
Table 4

Result of analysis of forward stepwise ordered logit regression models in anxiety

Predictors

B

S.E.

P

OR (95%CI)

OHIP

−0.045

0.019

0.017

0.956(0.921, 0.992)

Swallowing disorders

0.035

0.011

0.002

1.036(1.013, 1.059)

CI confdence interval, OHIP oral health impact profile

Table 5

Result of analysis of forward stepwise ordered logit regression models in depression

Predictors

β

S.E.

P

OR (95%CI)

FSS

−0.533

0.123

0.000

0.587 (0.461, 0.747)

CI confdence interval, FSS Fatigue severity scale

Discussion

According to this study, the prevalence of depression and anxiety is 36.9%/33.8% among people with pSS in China and Chinese pSS patients are more likely to suffer from depression and anxiety than healthy people. As far as we know, this is a study chiefly researching the relations between disease activity, fatigue, pain, education, ocular surface disease, oral health, swallowing disorders, employment status, ESSPRI and anxiety/depression in Chinese pSS patients.

Depression patients had higher disease activity scores, higher level of ESR, higher unemployment rate, lower education level, severer total pain, compared with depression patients. One explanation would be that pSS and pain can cause adverse coping ways, work restriction and impaired quality of life, which might in turn bring about a further depressive flare. However, no similar results were found in anxiety. A recent meta-analysis showed that prevalence estimates for depression in pSS range between 8.33 and 75.56% [23]. As reported previously, depression in pSS patients is associated with poorer health status, including low quality of life [24], suicide risk [25], increased medical costs [26], lower rate of treatment compliance [27], and even increased mortality. Similarly, Lendrem et al. [28] found that pSS patients complaining any problem in mobility, self-care, daily activities, pain/malaise, and anxiety/depression were higher than normal people. Moreover, Shen et al. [29] reported that pSS may increase the risk of ensuing newly diagnosed depressive disorder, anxiety disorder that might damage quality of life. Depression was found more common in pSS patients than controls, with a prevalence of 38.3% [30], which is consistent with our findings. However, some other researches made inconsistent conclusions, and need further discussions.

We could not detect a difference in sex because of the small male proportion in this study. There are disputed data whether active disease adds the susceptibility to anxiety/depression. However, we found a positive relationship between disease activity and anxiety/depression. Pain severity were also related to an increased risk of anxiety and depression. This finding supports the opinion of a mutually reinforcing mechanism between pain and depression and indicates the importance of clarifying neurobiological links for the sake of optimizing pain and depression management. pSS affects patients’ HR-QoL, mental status and relationships with family [31]. Fatigue is significantly associated with various psychological factors, including depression [32], anxiety [33] in pSS patients.

Patients with pSS usually have characteristic chronic symptoms of ocular and oral dryness. While the pathomechanism of pSS is still unclear, environmental factors are considered to trigger abnormal immunological reactions in people with genetic susceptibility [34]. Ocular and oral dryness were the most frequently symptoms in pSS patients reported by 44 and 39%, respectively [11]. While corticosteroid and immunomodulatory drugs are often ineffective in the treatment of oral and ocular symptoms of pSS. The possible explanation is that manifestations of oral and ocular dryness are vague in the early phase of the disease and usually ignored by patients and clinicians alike [35]. The pSS patients in our study had severer ocular expressions and signs of dry eye and reported severer anxiety and depression. Furthermore, studies show that pSS patients have a decreased salivary flow with high risk of dental caries, enhanced susceptibility to oral candidiasis, tooth loss, severer periodontal destruction, pain during chewing, pararthria, tongue palpitation and angular cheilitis [36, 37, 38]. Anxious pSS individuals, because of their avoidant behaviours, often have poorer dental health. Oral dryness in pSS may impair functions such as chewing, talking or swallowing, and lead to a “choking” sensation, which might cause anxiety [39]. Fortunately, Hydroxychloroquine has shown improvement of subjective oral symptoms in patients with pSS. Therefore, it is essential that patients with pSS undergo regular oral examinations and medication therapy.

The amount of saliva in pSS patients was significantly less than controls, and these patients perceived their swallowing to be impaired [40]. Moreover, dysphagia in pSS patients increase with disease severity and anxiety/depression, indicating the important for increased recognition and management of dysphagia. Since eating and drinking form an important part of social interaction, dysphagic pSS patients often eat in seclusion because of shame. And they worry choking on their food or develop aspiration pneumonia. Frequent worries can decrease quality of life even more and aggravate the anxiety. Hence, it is important to strengthen the assessment of the swallowing function of the pSS patient. Educational programs might help an early identification of the disease and lessen the emotional burden of patients during the initial course of disease [41]. In addition, lacking of knowledge about pSS may lead to anxiety/depression, so patient education about pSS may relieve anxiety and depression.

The large sample size available for this analysis and systematic investigation of the disease activity in pSS patients were major strengths for this study. However, there are some limitations. Firstly, this study is a single-center research. Secondly, the data analysed were cross-sectional, and thus we were unable to comment on causal relationships. Thirdly, some of the positive findings cannot survive correction for multiple comparisons. Additionally, prospective studies on pSS patients’ anxiety and depression should be conducted to support the development of effective interventions to manage their anxiety and depression in the future.

Conclusion

Patients with pSS complained more commonly of anxiety and depression than controls, and oral health and swallowing disorders were greatly relevant to anxiety in pSS patients. Clinicians should focus on the potential mental comorbidities while managing patients with pSS. Simultaneously, rheumatologists should also pay more attention to the oral health and swallowing disorders in pSS patients. Early identification and proper intervention are therefore vital to minimize the negative effect of anxiety and depression on the patient’s QoL and outcome of their disease. Accordingly, the findings in our study can be used for prevention and intervention of psychological distress(anxiety and depression) among pSS patients. The findings have significant policy or practical implications. Finally, further studies are indispensable to search potential pathophysiologic pathways that might interpret anxiety and depression in pSS.

Notes

Acknowledgments

We would like to thank ZML and YFX for their great assistance with this study.

Funding

This study was supported by Grants from the Chinese National Natural Science Foundation (Grant no. 81671616, and 81471603); Jiangsu Provincial Commission of Health and Family Planning Foundation (Grant no. H201317 and H201623); Science Foundation of Nantong City (Grant no. MS32015021, MS2201564, MS22016028 and MS22016019); Science and Technology Foundation of Nantong City (Grant no. HS2014071 and HS2016003).

Availability of data and materials

The datasets used and/or analysed during the current study are available from the corresponding author on reasonable request.

Authors’ contributions

YFC and LL searched and investigated the patients according to the inclusion and exclusion criteria. LX analyzed the data and wrote the draft of the paper. QZ and SNC checked the data and polished the manuscript. LX and ZFG gave advice on methodology and revised the paper. All authors contributed to reviewing or revising the paper and read and approved the final manuscript. ZFG is the guarantor of this work and had full access to all the data in the study and takes responsibility for its integrity and the accuracy of the data analysis.

Ethics approval and consent to participate

This study was approved by the Ethics Committee of the Afliated Hospital of Nantong University (approval number 2017-K003), and all selected patients and control individuals signed an informed consent form before enrolment, which was carried out in accordance with the Helsinki Declaration.

Competing interests

The authors declared that they have no competing interests.

Publisher’s Note

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

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© The Author(s). 2018

Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. 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.

Authors and Affiliations

  • Yafei Cui
    • 1
    • 2
  • Ling Xia
    • 3
  • Lin li
    • 2
  • Qian Zhao
    • 2
  • Shengnan Chen
    • 2
  • Zhifeng Gu
    • 1
  1. 1.Department of RheumatologyAffliated Hospital of Nantong UniversityNantongPeople’s Republic of China
  2. 2.School of NursingNantong UniversityNantongPeople’s Republic of China
  3. 3.Department of NursingAffliated Hospital of Nantong UniversityNantongChina

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