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. Author manuscript; available in PMC: 2024 Feb 1.
Published in final edited form as: Scand J Psychol. 2022 Jul 19;64(1):21–29. doi: 10.1111/sjop.12860

The Potential Mediating Role of Anxiety Sensitivity in the Impact of Mindfulness Training on Anxiety and Depression Severity and Impairment: A Randomized Controlled Trial

Qiang Xie 1,2, Ye Guan 1, Stefan G Hofmann 3, Ting Jiang 2,*, Xinghua Liu 1,*
PMCID: PMC9839484  NIHMSID: NIHMS1821124  PMID: 35851956

Abstract

The benefits of mindfulness-based interventions to alleviate anxiety and depression have been supported by many studies. Given the effectiveness of mindfulness-based interventions on anxiety and depression, the underlying mechanisms need to be explored. Using a randomized waitlist-controlled design, this study investigated whether anxiety sensitivity was a potential mechanism for the impact of mindfulness training on anxiety and depression. Participants with high psychological distress were randomly assigned to an eight-week mindfulness intervention (N = 35) or a wait-list control group (N = 34). Before and after the intervention or corresponding waitlist period, participants completed measures of anxiety and depression severity and impairment and anxiety sensitivity. Separate mixed ANOVA demonstrated significant group (intervention vs. control group) X time (pre- vs. post-test) interactions for anxiety sensitivity and overall anxiety severity and impairment and marginally significant interaction for overall depression severity and impairment. Moreover, simple mediation models showed that reductions of anxiety sensitivity from pre- to post-test mediated the impact of mindfulness training on changes in anxiety and depression severity and impairment. The findings suggest that anxiety sensitivity is a potential mechanism underlying the effect of mindfulness training on anxiety and depression, which provides a new perspective for the study of processes of change of mindfulness-based interventions.

Keywords: Mindfulness, Mechanisms, Mediation, Anxiety sensitivity, Anxiety, Depression


Mindfulness is commonly conceptualized as intentional and nonjudgmental awareness of present-moment experiences (Kabat-Zinn, 1994, p.4). Mindfulness-based interventions (MBIs), such as mindfulness-based stress reduction (MBSR; Kabat-Zinn, 1982) and mindfulness-based cognitive therapy (MBCT; Segal et al., 2002), cultivate mindfulness skills through various kinds of mindfulness practices (e.g., mindful breathing, mindful walking, mindful yoga, and body scan). Previous research has demonstrated the benefits of MBIs in various fields. For example, MBIs could improve cognitive control (Incagli et al., 2020; Li et al., 2018), enhance life satisfaction and happiness (Coo & Salanova, 2018; Henriksson et al., 2016), promote inner peace (Liu et al., 2015), and even increase relationship satisfaction (Khaddouma et al., 2017).

In the field of mental health, MBIs could effectively decrease anxiety and depression in both clinical and non-clinical populations (Hofmann et al., 2010; Khoury et al., 2015). Given the efficacy of MBIs on anxiety and depression, studies exploring the mechanisms of MBIs are also becoming increasingly popular (Alsubaie et al., 2017; Gu et al., 2015). By strengthening the mechanisms of interventions, the treatment effectiveness can be maximized and the application of interventions in real-world scenarios can be facilitated (Kazdin, 2007). Therefore, the clarification of the mechanisms of MBIs is important.

An important predisposing factor for anxiety (and also depression) is anxiety sensitivity (AS), which is the fear of anxiety-related physical sensations because of rigid convictions that these sensations are harmful (Naragon-Gainey, 2010; Reiss & McNally, 1985). AS includes three sub-dimensions - physical, social, and cognitive concerns. Specifically, people high in physical, social, and cognitive concerns experience fear of physical consequences of anxiety (e.g., “When I feel pain in my chest, I worry that I’m going to have a heart attack”), social consequences of anxiety (e.g., “When I begin to sweat in a social situation, I fear people will think negatively of me”), and cognitive consequences (mental disability) of anxiety (e.g., “When I cannot keep my mind on a task, I worry that I might be going crazy”), respectively (Taylor et al., 2007). AS may amplify pre-existing anxiety such that people with elevated AS may interpret anxiety-related physical sensations as danger signals, thus experiencing elevated anxiety (Olatunji & Wolitzky-Taylor, 2009). Cross-sectional studies showed that individuals with various kinds of anxiety disorders had higher AS relative to nonclinical controls (Olatunji & Wolitzky-Taylor, 2009). Longitudinal studies suggested that AS predicted the onset and recurrence of anxiety disorders (Calkins et al., 2009) and the severity of anxiety symptoms prospectively (Bardeen & Daniel, 2018; Hovenkamp-Hermelink et al., 2019; Qi et al., 2019). In addition, interventions targeting AS (including psychoeducation about stress and anxiety symptoms and interoceptive exposure) have been shown to reduce obsessive-compulsive symptoms (Timpano et al., 2016).

AS might not be specific to anxiety, because AS also increases the risk for depression (Epkins et al., 2013). The AS cognitive concerns was especially associated with depression (Allan et al., 2018; Naragon-Gainey, 2010). Among the three dimensions of AS, cognitive concerns could predict unique variance of depressive symptoms (Olthuis et al., 2014). A few studies also demonstrated the importance of physical concerns in predicting depressive symptoms. One study, for instance, showed that only physical concerns predicted increases in depressive symptoms among the three dimensions of AS (Grant et al., 2007). AS could prospectively predict depressive symptom severity (Qi et al., 2019). Moreover, interventions targeting AS (including psychoeducation about stress and anxiety symptoms and interoceptive exposure) have found that decreased AS was associated with reduced depressive symptoms (Norr et al., 2014).

Mindfulness emphasizes monitoring present-moment experiences in a non-judgmental and non-reactive way (Bishop et al., 2004). This practice might attenuate AS. People high on dispositional mindfulness or those who have received mindfulness training may accept emotions and related body sensations as they occur without reactivity and judgment, while AS is fear of anxiety and physical sensations associated with it. Theoretically, non-judgmental and non-reactive awareness of anxiety and related sensations may facilitate exposure and extinction learning, which consequently leads to decreased fear of anxiety and related sensations (Baer, 2003; Brown et al., 2007). For non-clinical populations (e.g., undergraduate students), studies have demonstrated the negative relationship between dispositional mindfulness and AS (Macaulay et al., 2015). In addition, mindfulness training reduced AS among elderly people in residential care (Helmes & Ward, 2015) and university–community adults (Tanay et al., 2012). Longitudinal studies also indicated that dispositional mindfulness prospectively and negatively predicted AS in people with posttraumatic stress disorder symptoms six months after a potentially traumatic event (Nitzan-Assayag et al., 2015). For clinical populations, Kraemer et al. (2015) found a significant association between dispositional mindfulness and AS in asthma patients. Some intervention studies also demonstrated that MBIs effectively reduced AS in patients with panic disorder (Kim et al., 2010, 2013) and generalized anxiety disorder (Alimehdi et al., 2016).

A theoretical model proposed by Shapiro et al. (2006) suggests that enhanced emotional, cognitive, and behavioral flexibility are mechanisms that explain why mindfulness is beneficial. According to the model, emotional, cognitive, and behavioral flexibility can be strengthened by objectively observing present-moment experiences without being immersed in them. And with emotional, cognitive, and behavioral flexibility, people can respond to environmental stimuli in a non-rigid and flexible manner (Shapiro et al., 2006). In contrast, AS is reflexive fear of anxiety-related physical sensations as a result of inflexible convictions that the sensations are harmful (Reiss & McNally, 1985). Thus, people with high AS lack both cognitive and emotional flexibility, which might be improved through MBIs. Therefore, AS may be one mechanism of MBIs in alleviating anxiety and depression. However, as far as we know, no research has explored whether the effect of MBIs to relieve anxiety and depression was mediated by AS.

Using a randomized waitlist-controlled design, the current study tested the potential mediating role of AS in the effect of mindfulness training to alleviate anxiety and depression among people with high psychological distress. We hypothesized that an eight-week mindfulness training would produce more reductions in anxiety and depression severity and impairment and AS relative to a wait-list control. Moreover, reductions in AS from pre- to post-test were hypothesized to significantly mediate the influence of the intervention on changes in anxiety and depression severity and impairment from pre- to post-test.

Method

Ethical Statement

The study was approved by the Institutional Review Board of the university where the study was conducted. Informed consent was gained from each participant before their participation.

Participants

To gauge the sample size needed for the current study, we conducted an a priori power analysis using G*Power 3.1.9.4 software. Based on previous meta-analytic reviews (Hofmann et al., 2010; Khoury et al., 2015), the effect size of MBIs on anxiety and depression was expected to be moderately strong. Using an F-test, within-between interaction with two groups, two measurements, effect size f of 0.25 (medium effect size in G*Power), α error probability of 0.05, power of 0.80, and a conservative correlation of 0.50 between repeated measures, the power analysis results suggested that 17 participants for each group (34 participants in total) were needed.

Three hundred and thirty-six participants were recruited through online advertisement. Screening of eligible participants for this study was conducted. The inclusion criteria were: 1) an overall score of ≥ 22 on the K10 (Kessler et al., 2002) indicating high psychological distress; 2) no previous training in MBIs, such as MBCT or MBSR; 3) no regular mind-body practices (less than 20 minutes per week) within the last 6 months; 4) no asthma and cardio-cerebrovascular diseases that might be worsened by mindfulness practices; and 5) a commitment for the study (including acceptance of the group assignment, no time conflicts, and no participation in other psychological interventions during the study). Exclusion criteria were: 1) a lifetime diagnosis of severe psychiatric disorders (e.g., borderline personality disorder, bipolar disorder); 2) suicidal ideation or suicide attempt within 6 months before the screening; and 3) history of substance abuse or dependence.

A total of 69 eligible participants (male: 18, female: 51; mean age = 30.84, SD = 7.91) participated in the current study. They were randomly allocated to either the mindfulness training group or wait-list control group, with 35 participants (male: 11; female: 24) in the training group and 34 (male: 7, female: 27) in the control group. Participants in the wait-list control group received no treatment during the study and were offered a two-day mindfulness training after the ending of the study. All 69 participants completed the baseline assessment. One participant in the control group dropped out after the pre-test due to not accepting the group assignment. After the last session of the intervention, 33 participants in the intervention group and 31 in the control completed the post-test. Table 1 shows participants’ sociodemographic characteristics. Figure 1 provides a participant flow of the study.

Table 1.

Sociodemographic Characteristics of Participants

Intervention group Wait-list control
N 35 34
Age 31.09 (8.24) 30.59 (7.79)
% female 68.57% 79.41%
Years of education 17.51 (1.85) 17.38 (2.45)
Household Monthly Income Per Person (Chinese Yuan) 10439.39 (8001.72) 9326.47 (8467.78)

Note. Numbers in parentheses are standard deviations.

Figure 1.

Figure 1

Participant Flow of the Study

Measures

The Overall Anxiety Severity and Impairment Scale (OASIS): a 5-point questionnaire with five items used to measure anxiety symptom severity (i.e., the frequency and intensity of anxious feelings) and impaired functioning related to anxiety symptoms (i.e., behavioral avoidance, impediments to functioning at work/school/home, and impairment of social relationship) (Norman et al., 2006). The scores for the five items were added together to obtain a total score, with a higher total score signifying greater anxiety symptom severity and anxiety-related impairment. The OASIS has sound psychometric properties (Norman et al., 2006). The Chinese version of the OASIS in Barlow et al. (2010/2013) was used in the current study. The Cronbach’s alpha of OASIS was .80 for pre-test and .91 for post-test.

The Overall Depression Severity and Impairment Scale (ODSIS): a 5-point questionnaire with five items evaluating the severity of depressive symptoms (i.e., the frequency and intensity of depressed mood) and depression-related functional impairment (i.e., impediments to work/school and social life, and functional impairments in pleasurable activities due to depression) (Bentley et al., 2014). The scores for the five items were added together to obtain a total score, with a higher total score indicating greater depressive symptom severity and depression-related impairment. Previous research indicated sound internal consistency and validity of the ODSIS (Ito et al., 2015). The Chinese version of the ODSIS in Barlow et al. (2010/2013) was used in the current study. The Cronbach’s alpha of ODSIS was .94 for pre-test and .96 for post-test.

Anxiety Sensitivity Index-3 (ASI-3): a 5-point scale with 18 items used to measure AS. It comprises three six-item subscales, i.e., physical, cognitive, and social concerns (Taylor et al., 2007). The subscale and overall scores were calculated by adding up the scores of corresponding items. Higher levels of AS and its dimensions were indicated by higher overall and subscale scores, respectively. The scale has satisfactory psychometric properties (Wheaton et al., 2012). The Chinese version of this scale was translated and adapted by Wang et al. (2014), which, consistent with the original ASI-3, comprised of three factors and showed satisfactory reliability and validity (Cai et al., 2018; Wang et al., 2014). At pre-test, Cronbach’s alpha values were .93, .87, .88, and .81 for the entire scale, the physical, social, and cognitive concerns subscale, respectively. At post-test, Cronbach’s alpha values were .94, .91, .91, and .91 for the entire scale, the physical, social, and cognitive concerns subscale, respectively.

The 10-item Kessler Psychological Distress Scale (K10): a 5-point scale with 10 items assessing psychological distress related to anxiety and depression during the past four weeks (e.g., feeling hopeless, feeling restless) (Kessler et al., 2002). The scores for the 10 items were added together to obtain a total score. Therefore, the total score falls into the range of 10~50. The higher the total score, the more severe the psychological distress. The K10 has shown good internal consistency (Fassaert et al., 2009) and a good ability to differentiate people with anxiety and mood disorders from those not (Oakley Browne et al., 2010). The Chinese version of this scale also demonstrated sound psychometric properties as a valid assessment of psychological distress among Chinese people (Zhou et al., 2008). In this study, the K10 was utilized to screen for participants with high psychological distress. Consistent with prior studies, individuals who scored at least 22 on the K10 were considered to have high psychological distress (Byles et al., 2014; Chen et al., 2016).

Procedure

Pre-test

Eligible participants were randomly allocated either to the intervention or wait-list control group. During one week before the beginning of the mindfulness training, participants in both groups read and signed informed consent followed by completing a series of self-report measures, including OASIS, ODSIS, and ASI-3 used in this study.

Eight-week Mindfulness Intervention Program

The program was designed based on the protocol for MBSR (Kabat-Zinn, 1990) and MBCT (Segal et al., 2002). The program included eight sessions (one session per week) with 2.5-hour group training for each session. The group leaders were two mindfulness teachers who had received MBSR or MBCT teacher training and had rich experiences in mindfulness practices and mindfulness teaching. Each mindfulness teacher instructed some participants in the intervention group to practice mindfulness skills. Formal mindfulness practices in this training program included (1) mindful eating raisins (intentionally paying attention to the shape, smell, sound, and taste of raisins when eating them), (2) body scan (keeping aware of physical sensations of the body parts when scanning from head to toe), (3) sitting meditation (bringing attention to breath, thoughts, or outside sounds when sitting still), (4) walking meditation (observing the moment-by-moment sensations of the body parts in motion), and (5) mindful yoga (observing the physical sensations when stretching the body). The mindfulness teachers encouraged participants to bring an attitude of nonjudgment and non-reactivity to all practices. Participants were provided with audio recordings to practice at home and daily practice log sheets to keep track of their home practices. During group discussions, participants shared their experiences and questions, and the mindfulness teachers provided necessary guidance.

Post-test

During one week after the eighth session of mindfulness training, participants in both groups completed OASIS, ODSIS, and ASI-3.

Data Analyses

Careless responding could distort factor structures of measures and weaken associations between measures (Arthur et al., 2021). Therefore, instructed items that explicitly asked participants to select a specified answer (e.g., “Please select strongly disagree in this item”) were incorporated into the questionnaires of the current study. The instructed items enabled us to detect participants reading or answering the questions carelessly (DeSimone et al., 2015; Kam & Chan, 2018). At pre-test, four participants failed to respond as instructed in at least one instructed item in the test series that contained OASIS and ODSIS, and one participant failed at least one instructed item in the test series that contained ASI-3. At post-test, one participant failed to respond as instructed in at least one instructed item in the test series that contained OASIS and ODSIS, and six participants failed at least one instructed item in the test series that contained ASI-3. If participants selected wrong answers for at least one instructed item in a specific test series, participants’ data in that test series was considered invalid and was removed and treated as missing values.

IBM SPSS statistics 21.0 was used for the statistical analyses in our study. An α level of .05 was adopted to examine statistical significance. Consistent with previous studies (Brito-Pons et al., 2018; Samios, 2018; Sommers-Spijkerman et al., 2018), missing data was imputed using the expectation-maximization algorithm (El-Masri & Fox-Wasylyshyn, 2005).

First, bivariate Pearson correlational analyses were conducted to examine the relationship between baseline AS with baseline OASIS and ODSIS. In addition, independent-samples t tests and chi-square tests were computed to determine baseline equivalence between the two groups on sociodemographic data (i.e., age, gender, years of education, and household monthly income per person) and pre-test mediators (global AS and its three dimensions) and dependent variables (anxiety and depression).

If baseline group differences were found on any variables, pre-test scores on those variables were controlled for in all subsequent analyses. If not, separate Two-Way Mixed ANOVA (between-subject variable: mindfulness training vs. wait-list control; within-subject: pre- vs. post-test) was calculated for the mediators and dependent variables. Consistent with Xu et al. (2016), if the group X time interaction was significant, simple effect analyses were run to test the time effect within each group individually. Partial eta squared (ηp2) was computed to obtain the effect sizes for interaction and simple effect analyses. Consistent with Cohen (1988), ηp2 values of .01, .06, and .14 corresponds to small, medium, and large effect size, respectively.

To determine whether the impact of mindfulness training on anxiety and depression was mediated by AS, simple mediation models were tested using Model 4 from the PROCESS Macros for SPSS (Hayes, 2013). Bootstrapping analyses with 95% confidence intervals (CIs) and 5000 resamples were conducted. CIs that do not include zero indicate significant indirect effects. Unstandardized beta (β) coefficients for the pathways linking the independent variable, mediators, and dependent variables were also reported. In the mediation models, the independent variable (IV) was mindfulness training participation (coded as 1 = mindfulness training, 0 = wait-list control), the mediators (M) were global AS and its three dimensions, and the outcomes (DV) were OASIS and ODSIS. Consistent with previous studies (Nila et al., 2016; Ștefan et al., 2018), all mediators and dependent variables were change scores from pre- to post-test. Specifically, to obtain the change scores of ASI-3, OASIS, and ODSIS, the pre-test scores for these scales were subtracted from the corresponding post-test scores. Therefore, negative change scores for each scale indicated a decrease in AS, anxiety, and depression, respectively.

For sensitivity analyses, we conducted ANOVA tests and mediation analyses without removing the data of participants who failed the instructed items.

Results

Baseline Characteristics

Bivariate correlation analyses showed that baseline global AS was significantly associated with baseline OASIS (r = .25, p < .05) and ODSIS (r = .26, p < .05). Also, there were significant associations between cognitive concerns with OASIS (r = .30, p < .05) and ODSIS (r = .36, p < .01). Social concerns had a significant relationship with ODSIS (r = .25, p < .05) and did not significantly correlate with OASIS (r = .20, p = .11). No significant associations were found between physical concerns with OASIS (r = .18, p = .13) and ODSIS (r = .11, p = .37). Chi-square tests and independent sample t tests analyses showed that there were no significant differences between the intervention and control group on any sociodemographic variables or baseline measurements (all p > .05).

Treatment Effect of the Intervention

Separate mixed ANOVA yielded significant group X time interactions for global AS (F(1, 67) = 7.42, p = .008, ηp2 = .100), physical concerns (F(1, 67) = 5.42, p = .023, ηp2 = .075), and cognitive concerns (F(1, 67) = 14.01, p < .001, ηp2 = .173), except for social concerns (F(1, 67) = 1.43, p = .236, ηp2 = .021). Follow-up analyses of simple effects of interactions illustrated that the intervention group showed significantly lower global AS, physical, and cognitive concerns at post-test compared with those at pre-test (global AS: F(1, 67) = 25.24, p < .001, ηp2 = .274; physical concerns: F(1, 67) = 13.82, p < .001, ηp2 = .171; cognitive concerns: F(1, 67) = 25.54, p < .001, ηp2 = .276); while within the control group, no significant differences existed between pre- and post-test in global AS, physical, and cognitive concerns (global AS: F(1, 67) = 1.27, p = .264, ηp2 = .019; physical concerns: F(1, 67) = 0.16, p = .694, ηp2 = .002; cognitive concerns: F(1, 67) = 0.08, p = .785, ηp2 = .001).

In addition, mixed ANOVA demonstrated significant group X time interactions for OASIS and marginally significant interactions for ODSIS (OASIS: F(1, 67) = 5.17, p = .026, ηp2 = .072; ODSIS: F(1, 67) = 3.76, p = .057, ηp2 = .053). In the intervention group, follow-up simple effect analyses demonstrated that the post-test scores of OASIS and ODSIS were both lower than the pre-test scores (OASIS: F(1, 67) = 70.09, p < .001, ηp2 = .511; ODSIS: F(1, 67) = 15.14, p < .001, ηp2 = .184). Within the control group, the OASIS score at post-test was significantly lower than that at pre-test (F(1, 67) = 25.60, p < .001, ηp2 = .276), but ODSIS at post-test was not significantly different from that at pre-test (F(1, 67) = 1.24, p = .270, ηp2 = .018).

In sum, the results showed statistically significant improvements from pre- to post-test in global AS, AS physical and cognitive concerns, overall anxiety and depression severity and impairment in the mindfulness intervention group relative to the control (although the group X time interaction for ODSIS was marginally significant, the p value of it was very close to the significance level and effect size was nearly medium). Also, the results of ηp2 demonstrated a large effect size for AS cognitive concerns, medium effect sizes for global AS, AS physical concerns, and OASIS, and a small (nearly medium) effect size for ODSIS, respectively. Table 2 shows the descriptive statistics results of each group at pre- and post-test and mixed ANOVA results. The results of ANOVA were supported by sensitivity analyses except that the group X time interaction for OASIS in sensitivity analyses was marginally significant rather than significant (OASIS: F(1, 67) = 3.14, p = .081, ηp2 = .045; ODSIS: F(1, 67) = 2.92, p = .092, ηp2 = .042; global AS: F(1, 67) = 6.74, p = .012, ηp2 = .091; physical concerns: F(1, 67) = 5.35, p = .024, ηp2 = .074; cognitive concerns: F(1, 67) = 12.69, p < .001, ηp2 = .159; social concerns: F(1, 67) = 1.10, p = .298, ηp2 = .016).

Table 2.

Descriptive Statistics and Mixed ANOVA Results

Variable Intervention group (N=35) Waitlist control group (N=34) Mixed ANOVA
Pre-test
M(SD)
Post-test
M(SD)
Pre-test
M(SD)
Post-test
M(SD)
F p η p 2
AS 29.94 (15.29) 19.59 (11.87) 30.09 (14.49) 27.73 (15.95) 7.42 .008 .100
AS_PC 8.43 (5.85) 5.33 (4.66) 9.33 (5.66) 9.00 (6.03) 5.42 .023 .075
AS_CC 9.34 (4.81) 5.61 (4.40) 8.45 (4.49) 8.66 (5.54) 14.01 < .001 .173
AS_SC 12.17 (6.43) 8.66 (5.37) 12.31 (6.02) 10.08 (6.62) 1.43 .236 .021
OASIS 9.65 (3.35) 4.96 (3.21) 9.51 (2.39) 6.63 (3.17) 5.17 .026 .072
ODSIS 6.51 (4.27) 3.68 (3.64) 5.71 (3.98) 4.89 (4.36) 3.76 .057 .053

Note. AS = global anxiety sensitivity, AS_PC = physical concerns of anxiety sensitivity, AS_CC = cognitive concerns of anxiety sensitivity, AS_SC = social concerns of anxiety sensitivity, OASIS = overall anxiety severity and impairment, ODSIS = overall depression severity and impairment.

Mediation Analyses

Table 3 summarizes the results of mediation analyses. The mediation models with changes in global AS being the mediator are shown in Figure 2 and Figure 3.

Table 3.

Mediating Effect of Anxiety Sensitivity in the Effect of Mindfulness Training on Anxiety and Depression

Independent Variable Mediator Dependent variable Effect of IV on M Effect of M on DV Direct effect Indirect effect
(IV) (M) (DV) (a) (b) (c’) (a×b) 95% CI
Group AS OASIS −8.00** 0.09** −1.06a −0.75 (−1.98, −0.15)
AS_PC −2.77* 0.18* −1.31a −0.50 (−1.56, −0.04)
AS_CC −3.94*** 0.28** −0.70a −1.12 (−2.58, −0.32)
AS ODSIS −8.00** 0.18*** −0.57a −1.44 (−2.85, −0.51)
AS_PC −2.77* 0.31** −1.14a −0.87 (−2.11, −0.17)
AS_CC −3.94*** 0.52*** 0.05a −2.06 (−3.88, −1.01)

Note. Group = mindfulness training vs. wait-list control (coded as 1 = mindfulness training, 0 = wait-list control), AS = changes in global anxiety sensitivity from pre- to post-test, AS_PC = changes in physical concerns of anxiety sensitivity from pre- to post-test, AS_CC = changes in cognitive concerns of anxiety sensitivity from pre- to post-test, OASIS = changes in overall anxiety severity and impairment from pre- to post-test, ODSIS = changes in overall depression severity and impairment from pre- to post-test.

*

p < .05;

**

p < .01;

***

p < .001;

a

Non-significant.

Figure 2.

Figure 2

Mediating Effect of Global Anxiety Sensitivity in the Effect of Mindfulness Training on Overall Anxiety Severity and Impairment

Note. Group = mindfulness training vs. wait-list control (coded as 1 = mindfulness training, 0 = wait-list control). AS and OASIS were changes in global anxiety sensitivity and overall anxiety severity and impairment from pre- to post-test, respectively. β were unstandardized coefficients. *p < .05; **p < .01; ***p < .001; a Non-significant.

Figure 3.

Figure 3

Mediating Effect of Global Anxiety Sensitivity in the Effect of Mindfulness Training on Overall Depression Severity and Impairment

Note. Group = mindfulness training vs. wait-list control (coded as 1 = mindfulness training, 0 = wait-list control). AS and ODSIS were changes in global anxiety sensitivity and overall depression severity and impairment from pre- to post-test, respectively. *p < .05; **p < .01; ***p < .001; a Non-significant.

When using the change scores of the OASIS as the dependent variable, we found that the indirect effect of mindfulness training on changes in OASIS through changes in global AS, AS physical concerns, and AS cognitive concerns were all significant (global AS: β = −0.75, 95% CI [−1.98, −0.15]; AS physical concerns: β = −0.50, 95% CI [−1.56, −0.04]; AS cognitive concerns: β = −1.12, 95% CI [−2.58, −0.32]). Since the group X time interaction for AS social concerns was non-significant, we did not conduct a mediation analysis for it.

In terms of ODSIS, we found the indirect effect of mindfulness training on changes in ODSIS through changes in global AS, AS physical concerns, and AS cognitive concerns were all significant (global AS: β = −1.44, 95% CI [−2.85, −0.51]; AS physical concerns: β = −0.87, 95% CI [−2.11, −0.17]; AS cognitive concerns: β = −2.06, 95% CI [−3.88, −1.01]). Since the group X time interaction for AS social concerns was non-significant, we did not conduct a mediation analysis for it.

The results of mediation analyses were supported by sensitivity analyses. Specifically, the mediating effect of global AS, AS physical concerns, and AS cognitive concerns in the effect of mindfulness training on changes in OASIS (global AS: β = −0.77, 95% CI [−1.84, −0.09]; AS physical concerns: β = −0.57, 95% CI [−1.59, −0.02]; AS cognitive concerns: β = −1.06, 95% CI [−2.38, −0.20]) and ODDIS (global AS: β = −1.40, 95% CI [−2.75, −0.35]; AS physical concerns: β = −0.84, 95% CI [−2.01, −0.06]; AS cognitive concerns: β = −2.00, 95% CI [−3.54, −0.80]) were all significant.

Discussion

This study investigated whether anxiety sensitivity was a potential mechanism underlying the effect of mindfulness training on anxiety and depression severity and impairment in people with high psychological distress. We hypothesized that eight-week mindfulness training could improve anxiety and depression severity and relevant impairment and AS from pre- to post-test relative to a wait-list control. Moreover, the reductions of AS from pre- to post-test would mediate the effect of mindfulness training on anxiety and depression symptom severity and relevant impairment.

The group X time interaction for OASIS was significant, and the group X time interaction for ODSIS was marginally significant with a p value that was very close to the significance level and a nearly medium effect size. Although the group X time interaction for OASIS changed from being significant to marginally significant in sensitivity analyses (i.e., without removing the data of participants who failed the instructed items), it was not surprising because careless responding could distort hypothesis testing (DeSimone & Harms, 2018). Thus, the results support our hypothesis on the effect of eight-week mindfulness training to alleviate anxiety and depression severity and relevant impairment. The results are also in accordance with previous findings that MBIs were effective in reducing anxiety and depression (Hofmann et al., 2010; Khoury et al., 2015).

Moreover, previous MBI studies heavily focused on the effect on anxiety and depressive symptoms and neglected the effect on functional impairment related to anxiety and depression (Hofmann et al., 2010; Khoury et al., 2015). As demonstrated by previous studies, the overall correlations between anxiety and depressive symptom severity with functional impairment were only relatively low to moderate (McKnight & Kashdan, 2009; McKnight et al., 2016). It was also argued that functional impairment needs to be included in outcomes of anxiety and depression treatment research in addition to anxiety and depressive symptoms (McKnight & Kashdan, 2009; McKnight et al. 2016). Therefore, our study also extends previous findings by using OASIS and ODSIS to investigate the effect of MBIs on symptom severity and functional impairment of anxiety and depression.

In addition, we found that AS decreased more within the mindfulness intervention group relative to the wait-list control. This finding supports previous evidence that mindfulness training could reduce AS in various clinical and non-clinical populations, e.g., patients with panic disorder (Kim et al., 2010, 2013), patients with generalized anxiety disorder (Alimehdi et al., 2016), elderly people in residential care (Helmes & Ward, 2015), and university–community adults (Tanay et al., 2012). Moreover, this result extends previous findings by testing the hypothesis in a sample with high non-specific psychological distress.

The mediation analyses revealed significant indirect effect of mindfulness training on changes in overall anxiety and depression severity and relevant impairment through changes in AS, which support our hypothesis. The mediating effects found in the current study provide empirical evidence for the theoretical underpinnings of mindfulness put forward by Shapiro et al. (2006). Specifically, Shapiro et al. proposed that enhanced emotional, cognitive, and behavioral flexibility are mechanisms that account for the benefits of mindfulness practices. Individuals with high AS have a rigid cognitive style about anxiety-related physical sensations. They tend to rigidly interpret the body sensations associated with anxiety as harmful, thus they lack cognitive flexibility. In addition, they tend to reflexively fear anxiety-related physical sensations, thus they also lack emotional flexibility. Therefore, AS being a potential mechanism of MBIs supports the theoretical roles of cognitive and emotional flexibility in the effect of MBIs.

The mediation results support Kim et al. (2013)’s report that improvement in AS after receiving MBCT could predict remission of panic disorder one year later. However, Kim et al. targeted panic disorder patients, did not test a mediation model, and was non-controlled. Mindfulness training also improved AS in other clinical and non-clinical populations (Alimehdi et al., 2016; Helmes & Ward, 2015; Kim et al., 2010; Tanay et al., 2012). However, these studies did not examine the relationship between changes in AS and changes in anxiety and depression with mindfulness training. Therefore, they could not answer the question of whether AS is a mediator in the effect of mindfulness training on anxiety and depression. To our knowledge, this is the very first study discovering that AS mediates the impact of mindfulness training on anxiety and depression. The current study provides a new perspective and offers a new candidate mechanism for the study of mechanisms of MBIs. Moreover, based on the discovery of the critical role of AS, practitioners in the future may focus on the reduction of AS during the implementation of MBIs to maximize the effect of MBIs on anxiety and depression.

This study has several limitations. First, this study concurrently assessed AS, anxiety and depression severity and impairment at pre- and post-test without demonstrating that changes in AS precede changes in anxiety and depression severity and relevant impairment. Temporal precedence is a prerequisite to inferring causal relationships or mechanisms of change (Kazdin et al., 2007; Kraemer et al., 2002). Therefore, our study cannot draw a strong conclusion that decreased AS is the causal mechanism accounting for the alleviation in anxiety and depression severity and impairment produced by mindfulness training. Future studies could measure outcomes (anxiety and depression) and the mediator (AS) at different time points so that the temporal component can be considered in the causality analyses of the mechanism. Second, participants in the current study had high psychological distress and were predominantly college-educated. It is not clear whether other populations may experience anxiety and depression alleviation through the reductions in AS. Studies in the future can examine the role of AS among other populations (e.g., people with a diagnosis of anxiety and/or depressive disorders, people with lower education levels).

Future research may also extend the findings of our study by examining the relationship between AS and other empirically tested mechanisms of MBIs. For example, dispositional mindfulness has been found to mediate the effect of MBIs on emotional distress (Baer et al., 2012; Gao et al., 2018). Previous studies also demonstrated the link between dispositional mindfulness and AS (Kraemer et al., 2015; Tanay et al., 2012). It is possible that mindfulness training brings about improvement of dispositional mindfulness, which then leads to reduced AS and eventually alleviates anxiety and depression. Future research in this direction will have significant implications for clarifying the mechanism of MBIs in alleviating anxiety and depression.

In conclusion, this study demonstrates that eight-week mindfulness training could effectively alleviate anxiety and depression severity and impairment and AS in people with high psychological distress. Most importantly, the influence of mindfulness training on anxiety and depression severity and related functional impairment was mediated by improvement of AS, suggesting AS is a potential mechanism of MBIs. The findings of this study may promote the understanding of why MBIs could reduce anxiety and depression and help practitioners to maximize the effect of MBIs on anxiety and depression.

Acknowledgements:

We would like to express our gratitude to the participants for providing their data for this study. We also want to thank Xiaoming Wang who led some of the participants to practice in the mindfulness intervention program. This research was supported by the National Natural Science Foundation of China (Project No. 31971016) and a grant from Discipline Construction Project of Peking University. SH receives financial support from the Alexander von Humboldt Foundation (as part of the Humboldt Prize), NIH/NCCIH (R01AT007257), NIH/NIMH (R01MH099021 and U01MH108168), and the James S. McDonnell Foundation 21st Century Science Initiative in Understanding Human Cognition – Special Initiative.

Footnotes

Conflict of interest statement:

The authors declare no conflict of interests.

Data availability statement:

The data that support the findings of this study are available from the corresponding author upon reasonable request.

References

  1. Alimehdi M, Ehteshamzadeh P, Naderi F, Eftekharsaadi Z, & Pasha R (2016). The effectiveness of mindfulness-based stress reduction on intolerance of uncertainty and anxiety sensitivity among individuals with generalized anxiety disorder. Asian Social Science, 12(4), 179–187. 10.5539/ass.v12n4p179 [DOI] [Google Scholar]
  2. Allan NP, Cooper D, Oglesby ME, Short NA, Saulnier KG, & Schmidt NB (2018). Lower-order anxiety sensitivity and intolerance of uncertainty dimensions operate as specific vulnerabilities for social anxiety and depression within a hierarchical model. Journal of Anxiety Disorders, 53, 91–99. 10.1016/j.janxdis.2017.08.002 [DOI] [PubMed] [Google Scholar]
  3. Alsubaie M, Abbott R, Dunn B, Dickens C, Keil TF, Henley W, & Kuyken W (2017). Mechanisms of action in mindfulness-based cognitive therapy (MBCT) and mindfulness-based stress reduction (MBSR) in people with physical and/or psychological conditions: A systematic review. Clinical Psychology Review, 55, 74–91. 10.1016/j.cpr.2017.04.008 [DOI] [PubMed] [Google Scholar]
  4. Arthur W, Hagen E, & George F (2021). The lazy or dishonest respondent: Detection and prevention. Annual Review of Organizational Psychology and Organizational Behavior, 8(1), 105–137. 10.1146/annurev-orgpsych-012420-055324 [DOI] [Google Scholar]
  5. Baer RA (2003). Mindfulness training as a clinical intervention: A conceptual and empirical review. Clinical Psychology: Science and Practice, 10(2), 125–143. 10.1093/clipsy.bpg015 [DOI] [Google Scholar]
  6. Baer RA, Carmody J, & Hunsinger M (2012). Weekly change in mindfulness and perceived stress in a mindfulness-based stress reduction program. Journal of Clinical Psychology, 68(7), 755–765. 10.1002/jclp.21865 [DOI] [PubMed] [Google Scholar]
  7. Bardeen JR, & Daniel TA (2018). Anxiety sensitivity and attentional bias to threat interact to prospectively predict anxiety. Cognitive Behaviour Therapy, 47(6), 482–494. 10.1080/16506073.2018.1466911 [DOI] [PubMed] [Google Scholar]
  8. Barlow DH, Ellard KK, Fairholme CP, Farchione TJ, Boisseau CL, Allen LB, & Ehrenreich-May JT (2013). Unified protocol for the transdiagnostic treatment of emotional disorders: Workbook (Xie Q, He L, Tang S, & Wang S, Trans.). ‎China Light Industry Press. (Original work published 2010). [Google Scholar]
  9. Bentley KH, Gallagher MW, Carl JR, & Barlow DH (2014). Development and validation of the Overall Depression Severity and Impairment Scale. Psychological Assessment, 26(3), 815–830. 10.1037/a0036216 [DOI] [PubMed] [Google Scholar]
  10. Bishop SR, Lau M, Shapiro S, Carlson L, Anderson ND, Carmody J, Segal ZV, Abbey S, Speca M, Velting D, & Devins G (2004). Mindfulness: A proposed operational definition. Clinical Psychology: Science and Practice, 11(3), 230–241. 10.1093/clipsy.bph077 [DOI] [Google Scholar]
  11. Brito-Pons G, Campos D, & Cebolla A (2018). Implicit or explicit compassion? Effects of compassion cultivation training and comparison with mindfulness-based stress reduction. Mindfulness, 9(5), 1494–1508. 10.1007/s12671-018-0898-z [DOI] [Google Scholar]
  12. Brown KW, Ryan RM, & Creswell JD (2007). Mindfulness: Theoretical Foundations and Evidence for its Salutary Effects. Psychological Inquiry, 18(4), 211–237. 10.1080/10478400701598298 [DOI] [Google Scholar]
  13. Byles JE, Robinson I, Banks E, Gibson R, Leigh L, Rodgers B, Curryer C, & Jorm L (2014). Psychological distress and comorbid physical conditions: disease or disability?. Depression and Anxiety, 31(6), 524–532. 10.1002/da.22162 [DOI] [PubMed] [Google Scholar]
  14. Cai W, Dong W, Pan Y, Wei C, Zhang S, Tian B, Yan J, & Deng G (2018). Reliability, validation and norms of the Chinese version of Anxiety Sensitivity Index 3 in a sample of military personnel. PloS One, 13(8), e0201778. 10.1371/journal.pone.0201778 [DOI] [PMC free article] [PubMed] [Google Scholar]
  15. Calkins AW, Otto MW, Cohen LS, Soares CN, Vitonis AF, Hearon BA, & Harlow BL (2009). Psychosocial predictors of the onset of anxiety disorders in women: results from a prospective 3-year longitudinal study. Journal of Anxiety Disorders, 23(8), 1165–1169. 10.1016/j.janxdis.2009.07.022 [DOI] [PMC free article] [PubMed] [Google Scholar]
  16. Chen X, Mao Y, Kong L, Li G, Xin M, Lou F, & Li P (2016). Resilience moderates the association between stigma and psychological distress among family caregivers of patients with schizophrenia. Personality and Individual Differences, 96, 78–82. 10.1016/j.paid.2016.02.062 [DOI] [Google Scholar]
  17. Cohen J (1988). Statistical power analysis for the behavioral sciences (2nd ed.). Hillsdale, NJ: Lawrence Erlbaum Associates. 10.4324/9780203771587 [DOI] [Google Scholar]
  18. Coo C, & Salanova M (2018). Mindfulness can make you happy-and-productive: A mindfulness controlled trial and its effects on happiness, work engagement and performance. Journal of Happiness Studies, 19(6), 1691–1711. 10.1007/s10902-017-9892-8 [DOI] [Google Scholar]
  19. DeSimone JA, Harms PD, & DeSimone AJ (2015). Best practice recommendations for data screening. Journal of Organizational Behavior, 36(2), 171–181. 10.1002/job.1962 [DOI] [Google Scholar]
  20. DeSimone JA, & Harms PD (2018). Dirty data: The effects of screening respondents who provide low-quality data in survey research. Journal of Business and Psychology, 33(5), 559–577. 10.1007/s10869-017-9514-9 [DOI] [Google Scholar]
  21. El-Masri MM, & Fox-Wasylyshyn SM (2005). Missing data: an introductory conceptual overview for the novice researcher. Canadian Journal of Nursing Research Archive, 37, 156–171. [PubMed] [Google Scholar]
  22. Epkins CC, Gardner C, & Scanlon N (2013). Rumination and anxiety sensitivity in preadolescent girls: Independent, combined, and specific associations with depressive and anxiety symptoms. Journal of Psychopathology and Behavioral Assessment, 35(4), 540–551. 10.1007/s10862-013-9360-7 [DOI] [Google Scholar]
  23. Fassaert T, De Wit MAS, Tuinebreijer WC, Wouters H, Verhoeff AP, Beekman ATF, & Dekker J (2009). Psychometric properties of an interviewer-administered version of the Kessler Psychological Distress scale (K10) among Dutch, Moroccan and Turkish respondents. International Journal of Methods in Psychiatric Research, 18(3), 159–168. 10.1002/mpr.288 [DOI] [PMC free article] [PubMed] [Google Scholar]
  24. Gao L, Curtiss J, Liu X, & Hofmann SG (2018). Differential treatment mechanisms in mindfulness meditation and progressive muscle relaxation. Mindfulness, 9(4), 1268–1279. 10.1007/s12671-017-0869-9 [DOI] [Google Scholar]
  25. Grant DM, Beck JG, & Davila J (2007). Does anxiety sensitivity predict symptoms of panic, depression, and social anxiety?. Behaviour Research and Therapy, 45(9), 2247–2255. 10.1016/j.brat.2007.02.008 [DOI] [PubMed] [Google Scholar]
  26. Gu J, Strauss C, Bond R, & Cavanagh K (2015). How do mindfulness-based cognitive therapy and mindfulness-based stress reduction improve mental health and wellbeing? A systematic review and meta-analysis of mediation studies. Clinical Psychology Review, 37, 1–12. 10.1016/j.cpr.2015.01.006 [DOI] [PubMed] [Google Scholar]
  27. Harrison BJ, Fullana MA, Soriano-Mas C, Via E, Pujol J, Martínez-Zalacaín I, Tinoco-Gonzalez D, Davey CG, López-Solà M, Pérez Sola V, Menchón JM, & Cardoner N (2015). A neural mediator of human anxiety sensitivity. Human Brain Mapping, 36(10), 3950–3958. 10.1002/hbm.22889 [DOI] [PMC free article] [PubMed] [Google Scholar]
  28. Hayes AF (2013). Introduction to mediation, moderation and conditional process analysis. Guilford. https://doi.org/978-1-60918-230-4 [DOI] [PubMed] [Google Scholar]
  29. Helmes E, & Ward BG (2015). Mindfulness-based cognitive therapy for anxiety symptoms in older adults in residential care. Aging & mental health, 21(3), 272–278. 10.1080/13607863.2015.1111862 [DOI] [PubMed] [Google Scholar]
  30. Henriksson J, Wasara E, & Rönnlund M (2016). Effects of eight-week-web-based mindfulness training on pain intensity, pain acceptance, and life satisfaction in individuals with chronic pain. Psychological Reports, 119(3), 586–607. 10.1177/0033294116675086 [DOI] [PubMed] [Google Scholar]
  31. Hofmann SG, Sawyer AT, Witt AA, & Oh D (2010). The effect of mindfulness-based therapy on anxiety and depression: A meta-analytic review. Journal of Consulting and Clinical Psychology, 78(2), 169–183. 10.1037/a0018555 [DOI] [PMC free article] [PubMed] [Google Scholar]
  32. Hovenkamp-Hermelink JH, Voshaar RCO, Batelaan NM, Penninx BW, Jeronimus BF, Schoevers RA, & Riese H (2019). Anxiety sensitivity, its stability and longitudinal association with severity of anxiety symptoms. Scientific Reports, 9(1),1–7. 10.1038/s41598-019-39931-7 [DOI] [PMC free article] [PubMed] [Google Scholar]
  33. Incagli F, Tarantino V, Crescentini C, & Vallesi A (2020). The Effects of 8-week Mindfulness-Based Stress Reduction Program on Cognitive Control: an EEG Study. Mindfulness, 11(3), 756–770. 10.1007/s12671-019-01288-3 [DOI] [Google Scholar]
  34. Ito M, Bentley KH, Oe Y, Nakajima S, Fujisato H, Kato N, Miyamae M, Kanie A, Horikoshi M, & Barlow DH (2015). Assessing depression related severity and functional impairment: the overall depression severity and impairment scale (ODSIS). PloS One, 10(4), e0122969. 10.1371/journal.pone.0122969 [DOI] [PMC free article] [PubMed] [Google Scholar]
  35. Kabat-Zinn J (1982). An outpatient program in behavioral medicine for chronic pain patients based on the practice of mindfulness meditation: Theoretical considerations and preliminary results. General Hospital Psychiatry, 4(1), 33–47. 10.1016/0163-8343(82)90026-3 [DOI] [PubMed] [Google Scholar]
  36. Kabat-Zinn J (1990). Full catastrophe living: Using the wisdom of your body and mind to face stress, pain, and illness. Dell Publishing. [Google Scholar]
  37. Kabat-Zinn J (1994). Wherever you go, there you are: Mindfulness meditation in everyday life. Hyperion. [Google Scholar]
  38. Kam CCS, & Chan GHH (2018). Examination of the validity of instructed response items in identifying careless respondents. Personality and Individual Differences, 129, 83–87. 10.1016/j.paid.2018.03.022 [DOI] [Google Scholar]
  39. Kazdin AE (2007). Mediators and mechanisms of change in psychotherapy research. Annual Review of Clinical Psychology, 3(1), 1–27. 10.1146/annurev.clinpsy.3.022806.091432 [DOI] [PubMed] [Google Scholar]
  40. Kessler RC, Andrews G, Colpe LJ, Hiripi E, Mroczek DK, Normand SL, Walters EE, & Zaslavsky AM (2002). Short screening scales to monitor population prevalences and trends in non-specific psychological distress. Psychological Medicine, 32(6), 959–976. 10.1017/s0033291702006074 [DOI] [PubMed] [Google Scholar]
  41. Khaddouma A, Coop Gordon K, & Strand EB (2017). Mindful mates: A pilot study of the relational effects of mindfulness-based stress reduction on participants and their partners. Family Process, 56(3), 636–651. 10.1111/famp.12226 [DOI] [PubMed] [Google Scholar]
  42. Khoury B, Sharma M, Rush SE, & Fournier C (2015). Mindfulness-based stress reduction for healthy individuals: A meta-analysis. Journal of Psychosomatic Research, 78(6), 519–528. 10.1016/j.jpsychores.2015.03.009 [DOI] [PubMed] [Google Scholar]
  43. Killgore WD, Britton JC, Price LM, Gold AL, Deckersbach T, & Rauch SL (2011). Neural correlates of anxiety sensitivity during masked presentation of affective faces. Depression and Anxiety, 28(3), 243–249. 10.1002/da.20788 [DOI] [PMC free article] [PubMed] [Google Scholar]
  44. Kim B, Cho SJ, Lee KS, Lee JY, Choe AY, Lee JE, Lee JE, Choi TK, & Lee SH (2013). Factors associated with treatment outcomes in mindfulness-based cognitive therapy for panic disorder. Yonsei Medical Journal, 54(6), 1454–1462. 10.3349/ymj.2013.54.6.1454 [DOI] [PMC free article] [PubMed] [Google Scholar]
  45. Kim B, Lee SH, Kim YW, Choi TK, Yook K, Suh SY, Cho SJ, Yook KH (2010). Effectiveness of a mindfulness-based cognitive therapy program as an adjunct to pharmacotherapy in patients with panic disorder. Journal of Anxiety Disorders, 24(6), 590–595. 10.1016/j.janxdis.2010.03.019 [DOI] [PubMed] [Google Scholar]
  46. Kraemer HC, Wilson GT, Fairburn CG, & Agras WS (2002). Mediators and moderators of treatment effects in randomized clinical trials. Archives of General Psychiatry, 59(10), 877–883. 10.1001/archpsyc.59.10.877 [DOI] [PubMed] [Google Scholar]
  47. Kraemer KM, McLeish AC, & Johnson AL (2015). Associations between mindfulness and panic symptoms among young adults with asthma. Psychology, Health & Medicine, 20(3), 322–331. 10.1080/13548506.2014.936888 [DOI] [PubMed] [Google Scholar]
  48. Li Y, Liu F, Zhang Q, Liu X, & Wei P (2018). The effect of mindfulness training on proactive and reactive cognitive control. Frontiers in Psychology, 9, 1002. 10.3389/fpsyg.2018.01002 [DOI] [PMC free article] [PubMed] [Google Scholar]
  49. Liu X, Xu W, Wang Y, Williams JMG, Geng Y, Zhang Q, & Liu X (2015). Can inner peace be improved by mindfulness training: a randomized controlled trial. Stress and Health, 31(3), 245–254. 10.1002/smi.2551 [DOI] [PubMed] [Google Scholar]
  50. Macaulay CB, Watt MC, MacLean K, & Weaver A (2015). Mindfulness mediates associations between attachment and anxiety sensitivity. Mindfulness, 6(6), 1263–1270. 10.1007/s12671-015-0390-y [DOI] [Google Scholar]
  51. McKnight PE, & Kashdan TB (2009). The importance of functional impairment to mental health outcomes: A case for reassessing our goals in depression treatment research. Clinical Psychology Review, 29(3), 243–259. 10.1016/j.cpr.2009.01.005 [DOI] [PMC free article] [PubMed] [Google Scholar]
  52. McKnight PE, Monfort SS, Kashdan TB, Blalock DV, & Calton JM (2016). Anxiety symptoms and functional impairment: A systematic review of the correlation between the two measures. Clinical Psychology Review, 45, 115–130. 10.1016/j.cpr.2015.10.005 [DOI] [PubMed] [Google Scholar]
  53. Naragon-Gainey K (2010). Meta-analysis of the relations of anxiety sensitivity to the depressive and anxiety disorders. Psychological Bulletin, 136(1), 128–150. 10.1037/a0018055 [DOI] [PubMed] [Google Scholar]
  54. Nila K, Holt DV, Ditzen B, & Aguilar-Raab C (2016). Mindfulness-based stress reduction (MBSR) enhances distress tolerance and resilience through changes in mindfulness. Mental Health & Prevention, 4(1), 36–41. 10.1016/j.mhp.2016.01.001 [DOI] [Google Scholar]
  55. Nitzan-Assayag Y, Aderka IM, & Bernstein A (2015). Dispositional mindfulness in trauma recovery: Prospective relations and mediating mechanisms. Journal of Anxiety Disorders, 36, 25–32. 10.1016/j.janxdis.2015.07.008 [DOI] [PubMed] [Google Scholar]
  56. Norman SB, Hami Cissell S, Means-Christensen AJ, & Stein MB (2006). Development and validation of an Overall Anxiety Severity And Impairment Scale (OASIS). Depression and Anxiety, 23(4), 245–249. 10.1002/da.20182 [DOI] [PubMed] [Google Scholar]
  57. Norr AM, Allan NP, Macatee RJ, Keough ME, & Schmidt NB (2014). The effects of an anxiety sensitivity intervention on anxiety, depression, and worry: Mediation through affect tolerances. Behaviour Research and Therapy, 59, 12–19. 10.1016/j.brat.2014.05.011 [DOI] [PMC free article] [PubMed] [Google Scholar]
  58. Oakley Browne MA, Wells JE, Scott KM, & McGee MA (2010). The Kessler PSychological Distress Scale in Te Rau Hinengaro: The New Zealand Mental Health Survey. Australian & New Zealand Journal of Psychiatry, 44(4), 314–322. 10.3109/00048670903279820 [DOI] [PubMed] [Google Scholar]
  59. Olatunji BO, & Wolitzky-Taylor KB (2009). Anxiety sensitivity and the anxiety disorders: a meta-analytic review and synthesis. Psychological Bulletin, 135(6), 974–999. 10.1037/a0017428 [DOI] [PubMed] [Google Scholar]
  60. Olthuis JV, Watt MC, & Stewart SH (2014). Anxiety Sensitivity Index (ASI-3) subscales predict unique variance in anxiety and depressive symptoms. Journal of Anxiety Disorders, 28(2), 115–124. 10.1016/j.janxdis.2013.04.009 [DOI] [PubMed] [Google Scholar]
  61. Qi J, Rappaport LM, Cecilione J, Hettema JM, & Roberson-Nay R (2019). Differential associations of distress tolerance and anxiety sensitivity with adolescent internalizing psychopathology. Journal of Clinical Child & Adolescent Psychology, 1–8. 10.1080/15374416.2019.1602838 [DOI] [PMC free article] [PubMed] [Google Scholar]
  62. Reiss S, & McNally RJ (1985). The expectancy model of fear. In Reiss S & Bootzin RR (Eds.), Theoretical issues in behavior therapy (pp.107–121). Academic Press. [Google Scholar]
  63. Samios C (2018). Burnout and psychological adjustment in mental health workers in rural Australia: the roles of mindfulness and compassion satisfaction. Mindfulness, 9(4), 1088–1099. 10.1007/s12671-017-0844-5 [DOI] [Google Scholar]
  64. Segal ZV, Williams JM, & Teasdale J (2002). Mindfulness-based cognitive therapy for depression: A new approach to preventing relapse. Guilford Press. [Google Scholar]
  65. Shapiro SL, Carlson LE, Astin JA, & Freedman B (2006). Mechanisms of mindfulness. Journal of Clinical Psychology, 62(3), 373–386. 10.1002/jclp.20237 [DOI] [PubMed] [Google Scholar]
  66. Sommers-Spijkerman M, Trompetter H, Schreurs K, & Bohlmeijer E (2018). Pathways to improving mental health in compassion-focused therapy: Self-reassurance, self-criticism and affect as mediators of change. Frontiers in Psychology, 9, 2442. 10.3389/fpsyg.2018.02442 [DOI] [PMC free article] [PubMed] [Google Scholar]
  67. Ștefan CA, Căpraru C, & Szilágyi M (2018). Investigating effects and mechanisms of a mindfulness-based stress reduction intervention in a sample of college students at risk for social anxiety. Mindfulness, 9(5), 1509–1521. 10.1007/s12671-018-0899-y [DOI] [Google Scholar]
  68. Tanay G, Lotan G, & Bernstein A (2012). Salutary proximal processes and distal mood and anxiety vulnerability outcomes of mindfulness training: A pilot preventive intervention. Behavior Therapy, 43(3), 492–505. 10.1016/j.beth.2011.06.003 [DOI] [PubMed] [Google Scholar]
  69. Taylor S, Zvolensky MJ, Cox BJ, Deacon B, Heimberg RG, Ledley DR, Abramowitz JS, Holaway RM., Sandin B, Stewart SH, Coles M, Eng W, Daly ES, Arrindell WA, Bouvard M, & Cardenas SJ (2007). Robust dimensions of anxiety sensitivity: development and initial validation of the Anxiety Sensitivity Index-3. Psychological Assessment, 19(2), 176–188. 10.1037/1040-3590.19.2.176 [DOI] [PubMed] [Google Scholar]
  70. Timpano KR, Raines AM, Shaw AM, Keough ME, & Schmidt NB (2016). Effects of a brief anxiety sensitivity reduction intervention on obsessive compulsive spectrum symptoms in a young adult sample. Journal of Psychiatric Research, 83, 8–15. 10.1016/j.jpsychires.2016.07.022 [DOI] [PMC free article] [PubMed] [Google Scholar]
  71. Wang L, Liu WT, Zhu XZ, Wang YP, Li LY, Yang YL, & George RA (2014). Validity and reliability of the Chinese version of the anxiety sensitivity index-3 in healthy adult women. Chinese Mental Health Journal, 28(10), 767–771. 10.3969/j.issn.1000-6729.2014.10.008 [DOI] [Google Scholar]
  72. Wheaton MG, Deacon BJ, McGrath PB, Berman NC, & Abramowitz JS (2012). Dimensions of anxiety sensitivity in the anxiety disorders: Evaluation of the ASI-3. Journal of Anxiety disorders, 26(3), 401–408. 10.1016/j.janxdis.2012.01.002 [DOI] [PubMed] [Google Scholar]
  73. Xu W, Jia K, Liu X, & Hofmann SG (2016). The effects of mindfulness training on emotional health in Chinese long-term male prison inmates. Mindfulness, 7(5), 1044–1051. 10.1007/s12671-016-0540-x [DOI] [PMC free article] [PubMed] [Google Scholar]
  74. Yang Y, Lueken U, Wittmann A, Holtz K, Kleint NI, Herrmann MJ, Sass K, Jansen A, Konrad C, Ströhle A, Pfleiderer B, Lotze M, Hamm A, Deckert J, Arolt V, Wittchen HU, Kircher T, & Straube B (2016). Neural correlates of individual differences in anxiety sensitivity: an fMRI study using semantic priming. Social Cognitive and Affective Neuroscience, 11(8), 1245–1254. 10.1093/scan/nsw024 [DOI] [PMC free article] [PubMed] [Google Scholar]
  75. Zhou C, Chu J, Wang T, Peng Q, He J, Zheng W, Liu D, Wang X, Ma H, & Xu L (2008). Reliability and validity of 10-item Kessler scale (K10) Chinese version in evaluation of mental health status of Chinese population. Chinese Journal of Clinical Psychology, 16(6), 627–629. 10.16128/j.cnki.1005-3611.2008.06.026 [DOI] [Google Scholar]

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Data Availability Statement

The data that support the findings of this study are available from the corresponding author upon reasonable request.

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