The Roles of Patients’ Authenticity and Accepting External Influence, and Clinicians’ Treatment Styles in Predicting Patients’ Dental Anxiety and Avoidance of Dental Appointments


Research Reports

The Roles of Patients’ Authenticity and Accepting External Influence, and
Clinicians’ Treatment Styles in Predicting Patients’ Dental Anxiety and
Avoidance of Dental Appointments

Anne Elisabeth Münster Halvari* ab, Hallgeir Halvari c, Edward L. Deci cde

[a] Faculty of Dentistry, Department of Dental Hygienist Education, University of Oslo, Oslo, Norway. [b] Department of Health, Social and
Welfare Studies, University of South-Eastern Norway, Bakkenteigen, Norway. [c] Department of Business, Marketing and Law, University of
South-Eastern Norway, Hønefoss, Norway. [d] Department of Clinical and Social Sciences in Psychology, University of Rochester,
Rochester, NY, USA. [e] Institute for Positive Psychology and Education, Australian Catholic University, Strathfield, NSW, Australia.

Abstract
A substantial proportion of adults suffer from high dental anxiety, which is related to poor oral health and functioning. Using authenticity
theory and self-determination theory, we applied a model testing two moderated mediation hypotheses: (i) the negative indirect association
between authenticity and avoiding dental appointments through dental anxiety would be more evident when clinicians provides higher
levels of autonomy support; and (ii) the indirect positive association between accepting external influence and avoiding dental appointments
through dental anxiety would be more evident when clinicians provides higher levels of controllingness. Participants (N = 208) responded to
a survey with validated questionnaires. The model with hypotheses were tested using Structural Equation Modeling (SEM) in LISREL and
Conditional Process Modeling (moderated mediation). The results supported our hypotheses. The SEM model tested was found to fit the
data well. Patient’s personality and dental clinic treatment environments predicted 38% of the variance in dental anxiety, which explained
38% of avoidance of treatment.

Keywords: authentic living, accepting external influence, autonomy support, controlling treatment style, dental anxiety, avoiding dental
appointments

Europe's Journal of Psychology, 2020, Vol. 16(1), 45–61, https://doi.org/10.5964/ejop.v16i1.1664

Received: 2018-05-20. Accepted: 2019-06-18. Published (VoR): 2020-03-03.

Handling Editor: Jennifer Murray, Edinburgh Napier University, United Kingdom

*Corresponding author at: Faculty of Dentistry, Department of Dental Hygienist Education, University of Oslo, Geitmyrsveien 69/71, 0455 Oslo, Norway.
Telephone: +47 22852173 (office) / +47 41508413 (mobile). E-mail: ahalvari@odont.uio.no

This is an open access article distributed under the terms of the Creative Commons Attribution 4.0 International License, CC BY 4.0
(https://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium,
provided the original work is properly cited.

Dental anxiety is defined as fear of dental treatment or certain aspects of it (ter Horst & de Wit, 1993). A sub-
stantial proportion of adults suffer from high dental anxiety (Johnsen et al., 2003), which is related to avoiding
dental appointments, and poor oral health and functioning (Halvari, Halvari, & Deci, 2018). Research on dental
anxiety have addressed both patients’ previous distressing dental experiences and personality. Distressing
dental experiences positively linked to patients’ dental anxiety have been oral-health-care clinicians’ treatment
styles perceived as non-understanding or controlling. In addition, patients’ feeling extreme helplessness and
embarrassment during dental treatments, the pain of having a tooth drilled, and the receipt of injections have
been positively correlated with dental anxiety (Humphris & King, 2011; Halvari, Halvari, Bjørnebekk, & Deci,
2010; Oosterink, de Jongh, & Aartman, 2009). Regarding personalities, dental anxiety has been positively as-

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sociated with neuroticism (Vassend, Røysamb, & Nielsen, 2011), general and phobic anxiety, and depression
(Eli, Uziel, Baht, & Kleinhauz, 1997; Pohjola, Mattila, Joukamaa, & Lahti, 2011). Besides this, dental anxiety
has been positively correlated with negative emotionality and fearfulness (Arnrup, Broberg, Berggren, & Bodin,
2007), as well as negatively with cooperativeness (Bergdahl & Bergdahl, 2003). Further, dental anxiety has
been positively associated with external locus of control or the feelings of being pressured by others or environ-
mental forces to behave (Poulton, Waldie, Thomson, & Locker, 2001). Hence, previous research has been
largely associated with personality constructs that increase dental anxiety. Therefore, the present study focused
on the authentic personality, which is expected to increase wellness such as reductions in general anxiety and
negative affect, and increases in well-being (Gillath, Sesko, Shaver, & Chun, 2010; Sheldon, Ryan,
Rawsthorne, & Ilardi, 1997). In addition, the current study also focused on the personality trait of accepting ex-
ternal influence, which has been associated with higher general anxiety and lower well-being (Wood, Linley,
Maltby, Baliousis, & Joseph, 2008). Consequently, our research questions proposed are: What relations are
there between patients authentic and accepting-external-influence personalities and dental anxiety? Are these
personalities indirectly associated with avoiding dental appointments through dental anxiety? Does oral-health-
care clinicians’ treatment styles moderate these indirect associations?

The Authentic and Accepting-External-Influence Personalities

Authenticity and accepting external influence are defined according to Rogers (1959, 1961) person-centered
theory of personality. First, authenticity or authentic living involves being true to oneself in most situations
(Wood et al., 2008), which means living in accordance with one’s emotions, values, goals, and beliefs. Second,
the term accepting external influence from other people is described as the belief that one has to conform to
social influences such as peer pressure, expectations of others, and social norms (Gillath et al., 2010; Wood et
al., 2008).

Psychologists view authenticity as a precursor to well-being and healthy functioning (Horney, 1951; May, 1981;
Rogers, 1961). Hence, as anxiety is conceived as a negative aspect of psychological well-being, the authentic
personality might be expected to mitigate anxiety (i.e., to increase well-being). Research among people adopt-
ing other social roles than the role of a patient (i.e., mother, father, student, roommate, employee, teacher,
child, friend, romantic partner) have shown that greater authenticity is associated with higher well-being, less
neuroticism and more extraversion, openness, and agreeableness in samples representing people in different
countries (Lynch, LaGuardia, & Ryan, 2009; Sheldon, Ryan, Rawsthorne, & Ilardi, 1997). Another study
showed that the trait of accepting external influence was significantly positively linked to anxiety (Wood et al.,
2008), and in a study by Gillath and colleagues (2010) trait authenticity was negatively related to attachment
anxiety and avoidance. Consequently, based on the above evaluation of studies, both the authentic and exter-
nal oriented personalities, respectively, seem to be substantially related to anxiety. In the model illustrated in
Figure 1, the authenticity and accepting external influence constructs, conceived as personality variables, are
located to the left, together with the constructs of perceived autonomy supportive and controlling treatment
styles, which affects dental anxiety, and subsequently avoidance of dental appointments. Thus, according to
the model and the research described above, the authentic personality is expected to be negatively associated
with dental anxiety, whereas accepting external influence is expected to be positively related to dental anxiety.

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Figure 1. Standardized parameter estimates in the latent structural equation model of dental anxiety and avoidance of
dental appointments. Due to presentation clarity, all factor loadings are presented in the method section.

*p < .05. **p < .01. ***p < .001. NS = Not Significant.

Self-Determination Theory: Autonomy-Supportive and Controlling Treatment Styles

Oral-health-care clinicians’ treatment styles may contribute to the interpretation of dental anxiety. An autonomy-
supportive treatment style is defined by an oral health care professional who offer choice, provide a meaningful
rationale, minimize pressure, and acknowledge the patients’ feelings and perspectives (Williams, Grow,
Freedman, Ryan, & Deci, 1996). Conversely, a controlling oral-health-care clinician style is associated with
pressuring and coercing oral communication, and evaluation making the patient belittled, humiliated, and em-
barrassed (Halvari et al., 2010). Research based on Self-Determination Theory (Deci & Ryan, 2000) indicated
that authenticity is greater when autonomy support is experienced and is undermined by the experience of con-
trolling environments (Lynch & Sheldon, 2017; Ryan & Ryan, 2018).

Research on the relations between oral-health-care clinicians’ autonomy supporting and controlling treatment
styles, and dental anxiety, indicate that autonomy support is negatively correlated with dental anxiety, and a
controlling style is positively correlated with dental anxiety (Halvari et al., 2010; Halvari et al., 2018). Multivari-
ate analyses of the data from these two studies indicate that oral-health-care clinicians’ controlling styles are a
stronger predictor of dental anxiety than autonomy support, but their moderating mechanisms of possible links
between personality, dental anxiety, and avoidance of dental appointments has never been investigated. Re-

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search does also indicate that dental anxiety and avoiding dental appointments are strongly positively correla-
ted (Halvari et al., 2010; Halvari et al., 2018).

The Moderated and Moderated Mediation Roles of Treatment Styles

Treatment styles were expected to moderate the links between personality and dental anxiety. A study indica-
ted that an autonomy-supportive intervention was more effective in increasing dental attendance among highly
autonomously oriented personalities than among those low on this construct (Halvari, Halvari, Williams, & Deci,
2017). These results are in line with a meta-analysis, although not including studies on dental care, of the effec-
tiveness of intervention programs designed to support autonomy, which resulted in greater effect sizes among
autonomous (rather than control) oriented participants (Su & Reeve, 2011). Authentic behavior is per definition
autonomous, as autonomy mean that one is acting in ways congruent with one’s values, preferences, and
needs (Kernis & Goldman, 2006). Hence, because the authentic and the autonomous personalities share im-
portant characteristics, and seem to function accordingly, autonomy support seems likely to moderate the link
between authenticity and dental anxiety, such that autonomy support would show greater mitigation of dental
anxiety and increase health-related behavior (i.e., dental attendance) among patients who are high in authentic-
ity (in relation to those low in authenticity). Conversely, a study by Grolnick and Ryan (1987) indicate that ex-
perimentally induced learning conditions that are controlling (in relation to less controlling conditions) resulted in
more pressure and anxiety and less learning, presumably because they were more conducive to controlled mo-
tivation or an external locus of causality, that is, a construct similar to accepting external influence as used in
the present study. Moreover, anxiety seem to be reduced more among persons high in accepting external influ-
ence (relative to those low in accepting external influence) if they experience decreased need frustration (i.e.,
indication of lower levels of controllingness) (Bryan, Baker, & Tou, 2017).

Possible Control / Background Variables

Gender was included in the study as a possible control variable because women have universally reported
more dental anxiety than men (Hill et al., 2013; Liddell & Locker, 1997; ter Horst & de Wit, 1993). In addition,
we included age and some socioeconomic factors as background variables because they are shown to be im-
portant for population access to the health services and health (e.g., Sreebny, 1983). However, among students
who pursue important educational life aspirations at the university, socioeconomic factors tend to be less impor-
tant than in other sub-populations (Halvari, Halvari, Bjørnebekk, & Deci, 2012a). On the other hand, if they are
important we have the possibility to control for them in the model testing.

Hypotheses

The following hypotheses (H) were specified based on the literature reviewed: (H1) authenticity will be nega-
tively associated with dental anxiety; (H2) autonomy support will be negatively associated with dental anxiety;
(H3) accepting external influence will be positively associated with dental anxiety; (H4) a controlling treatment
style will be positively associated with dental anxiety; and (H5) dental anxiety will be positively associated with
avoiding dental appointments. Further, the following indirect associations were tested: (H6) there will be a neg-
ative indirect relation between authenticity and avoiding dental appointments through dental anxiety; and (H7)
there will be a negative indirect relation between autonomy support and avoiding dental appointments through
dental anxiety. Next, (H8) there will be a positive indirect relation between accepting external influence and
avoiding dental appointments through dental anxiety; and (H9) there will be a positive indirect relation between

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a controlling treatment style and avoiding dental appointments through dental anxiety. Furthermore, (H10) au-
tonomy-supportive treatment styles will moderate the association between authenticity and dental anxiety;
(H11) controlling treatment styles will moderate the association between accepting external influence and den-
tal anxiety; (H12) the indirect negative association between authenticity and avoiding dental appointments
through dental anxiety will be more evident among those who experience higher levels of autonomy-supportive
treatment styles; (H13), and the indirect positive association between accepting external influence and avoiding
dental appointments through dental anxiety will be more evident among those who experience higher levels of
controlling treatment styles. Lastly, (H14) women would report more dental anxiety than men.

Method

Participants

Norwegian student patients from 42 study disciplines at the University of Oslo were invited to participate in the
study. They were informed about the aim of the study and gave their informed consent to participate. No incen-
tives were offered for participation. A total of 520 questionnaires (physical copies) were handed out and 208
were returned (40%). Participants’ ages ranged from 18 to 45 years (M = 25.2, SD = 4.97). More females than
males responded to the questionnaire (nfemales = 146; 70.2%).

Translation of Measures and Their Reliabilities

Following the procedures suggested by Beaton, Bombardier, Guillemin, and Ferraz (2000), all questionnaire
measures described below, except perceived controllingness which is developed in Norway, were translated to
Norwegian indepently by two researchers. Discrepancies in translations were resolved and agreed upon. Back-
translation to English was performed by an expert in Norwegian and English language, and discrepancies be-
tween the original version and the back-translation were resolved, consensus reached among the expert and
the two researchers, and the Norwegian versions adjusted when appropriate. Finally, the questionnaire items
were pretested among 10 students in order to secure a valid understanding of item content meaning. Reliabili-
ties of the scales are presented in Table 1.

Design of Questionnaire

Before the patients responded to the items in the questionnaire of the present study they were introduced to
their own clinic context by the following instructions and questions: “Think back to your last visit to a dental hy-
gienist or dentist. It is important that you try to think about the treatment and your experiences with this oral-
health-care clinician”. This introduction was followed by questions on who this oral health care professional was
(a dental hygienist or a dentist, a female or a male), the number of visits to this oral health care professional,
type of clinic (private or public), and time since last visit. “If you answered “dental hygienist” in question 1,
please have this person in mind and answer the following questions with reference to your dental hygienist.
However, if you answered “dentist” in question 1, please answer the following questions with reference to your
dentist”. Of the respondents, 84% recalled their dentist.

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Questionnaires
Authenticity
Authenticity was measured with the Authenticity Scale developed by Wood and colleagues (2008). A sample
item for authenticity (4 items) is “I live in accordance with my values and beliefs”; and for accepting external
influence (4 items) it is “I am strongly influenced by the opinions of others”. Responses could vary from 1 (does
not describe me at all) to 7 (describes me very well).

Perceived Autonomy Support
Perceived Autonomy Support was measured with the 6-item version of the modified Health-Care Climate Ques-
tionnaire (Williams et al., 1996), which was adapted to oral health care. A sample item is: “I feel that my oral-
health-care clinician has provided me choices and options.” Responses could vary from 1 (strongly disagree) to
7 (strongly agree).

Perceived Controllingness
Perceived Controllingness at the Dental Clinic was measured with the 6-item Perceived Controlling Style at the
Dental Clinic Questionnaire (PCSDCQ; Halvari et al., 2012a). A sample item is: “I find that my oral-health-care
clinician decides too much”. Responses varied from 1 (strongly disagree) to 7 (strongly agree).

Anxiety for Dental Treatment
Anxiety for Dental Treatment was measured by the 5-item Modified Dental Anxiety Scale (Humphris et al.,
2013). An example item is: “If you were sitting in the waiting room (waiting for treatment), how would you feel?”
Participants responded on a 5-point scale ranging from 1 (not anxious) to 5 (extremely anxious).

Avoiding Dental Appointments
Avoiding dental appointments was measured by two questions: “Has fear or worry ever caused you to put off
making an appointment 1) with a dental hygienist? 2) with a dentist?” Responses were: 1 (never), 2 (once or
twice), 3 (a few times), 4 (often), and 5 (nearly every time). (Milgrom, Weinstein, & Getz, 1995).

Reliability
In previous research, reliability coefficients exceeded .70 for all scales, that is, for authenticity (Wood et al.,
2008), autonomy support (Williams et al., 1996), controllingness (Halvari et al., 2010), anxiety (Humphris et al.,
2013), and for avoiding dental appointments (Halvari et al., 2010). For reliability coefficients in the present
study, see Table 1. They are all acceptable as they exceed the cut-point of .70 defined by Nunnally (1979).

Background Assessments
Gender (1 = female and 2 = male). Age was indicated in years. Educational level and socio-economic status
information was taken care of by the following three questions: (1) “What is your highest completed education?”
With response alternatives from 1 (junior or senior high school) to 5 (university or university college education
of more than 5 years). (2) “How many hours per week do you work for income?” (3) “How would you describe
your financial situation at the moment?” Response alternatives were from 1 (very good) to 5 (very difficult).

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Data Analysis

Correlational analyses were done using Pearson r, except for correlations involving gender in which Spear-
mans point bi-serial correlations were used.

The model illustrated in Figure 1, including the tests of indirect links, was tested simultaneously with the Struc-
tural Equation Model (SEM) using LISREL version 8.80. The two interaction terms (autonomy support X au-
thenticity and controllingness X accepting external influence) were treated as observed variables in order to
simplify the model. In addition, for the same reason and due to the large number of variables and indicators
(i.e., scale items) relative to the sample size, two of them were parceled. That is, we randomly assigned items
for autonomy supportive and controlling styles into 3 parcels, each with 2 items, as recommended by Little,
Cunningham, Shahar, and Widaman (2002). All other variables in the model are latent in testing the model in
Figure 1, factor loadings for items / parcels were all significant, and they were (loadings in parentheses) for au-
thenticity (.84, .71, .54, .53), for accepting external influence (.82, .81, .72, .67), for perceived autonomy support
(.90, .85, .82), for perceived controllingness (.84, .80, .73), for dental anxiety (.91, .82, .82, .77, .73), and for
avoiding dental appointments (.91, .91).

To evaluate the fit of the model tested, we used the chi-square likelihood ratio (χ2), the Root Mean Square Error
of Approximation (RMSEA), the Comparative Fit Index (CFI), and the Incremental Fit Index (IFI) as recommen-
ded (Bollen, 1989; Hu & Bentler, 1999). A good fit should have a value close to or lower than .06 for the
RMSEA, a value close to or lower than .08 for the SRMR, and a value close to or higher than .95 for the CFI
and IFI.

Regarding mediation, an indirect link is significantly supported if the bias-corrected 95% confidence intervals
(for the bands of products of coefficients after 5000 resamplings) do not include zero or oppositely valued coef-
ficients (see Table 2) (Preacher & Hayes, 2008).

The bootstrapping procedure described in Preacher, Rucker, and Hayes (2007) were used to examine modera-
tion. These moderator relations were illustrated following the formula proposed by West, Aikin, and Krull (1996,
pp. 35 – 36). Finally, moderated mediation was tested using Model 7 in Model Templates for PROCESS for
SPSS and SAS (2013-2015) by Andrew F. Hayes (Preacher, Rucker, & Hayes, 2007).

Results

Descriptive Statistics and Reliability

The means, standard deviations, skewness values, and reliabilities for all variables emerge in Table 1. Reliabili-
ty values are acceptable. Skewness values (skew < 3.0) are acceptable for use in SEM analysis (Kline, 2005).
Regarding means and distribution of scores, for example, dental anxiety had a mean score of 11.05 in the cur-
rent sample (2.21 pr. item X 5 items, see Table 1). This mean value for dental anxiety is almost the same as the
mean value presented by Humphris et al. (2013) in their validation study of the Modified Dental Anxiety Scale.
Of the participants, 54.8% had low scores (5-10; “not anxious”), 27.4% had moderate scores (11-15; “quite anx-
ious”), and 17.8% had high scores (16-25; “very and extremely anxious”). Those with extreme dental anxiety (≥
19%) were somewhat lower in the present sample (10.1%) compared to the Humphris et al. (2013) study

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(12.1), and the reliability coefficients (α) were .90 and .92, respectively. Regarding the perceived controlling
treatment style, 54% responded with low scores (7-12; “disagree”), 35% with moderate scores (13-24; “some-
what agree”), and 11% responded with high scores (25-36; “agree”). The use of the above categories of low,
moderate, high, and extreme dental anxiety scores were used to compare them with scores from the Humphris
et al. (2013) validation article. In addition, the categories for low, moderate, and high scores for controllingness
were given. For all other analysis described below all variable raw scores were used for all variables, including
interactions illustrated using high and low scores (see West et al., 1996)

Hypotheses Testing

We used SEM in testing the model with the direct, indirect, and moderated associations. In addition, we used
the non-parametric bootstrapping procedure in testing moderated and moderated mediational associations
(conditional indirect effects) (Preacher et al., 2007).

Theoretical Model

The zero order correlations in Table 1 are all in line with the expectations. Education and socioeconomic varia-
bles were not significantly correlated with authenticity, accepting external influence, treatment styles, dental
anxiety, or avoiding dental appointments.

Table 1

Zero-Order Correlationsa and Descriptive Statistics Among Variables

Variable 1. 2. 3. 4. 5. 6. 7. 8. 9. 10. 11.

1. Authenticity --
2. Accepting external influence -.39*** --
3. Autonomy supportive style at the clinic .33*** -.28*** --
4. Controlling style at the clinic -.25*** .26*** -.67*** --
5. Dental anxiety -.20** .28*** -.32*** .41*** --
6. Avoiding dental appointments -.05 .14* -.22*** .34*** .57*** --
7. Gender -.06 -.04 -.01 -.05 -.16* -.10 --
8. Age .02 .07 .02 .05 -.02 -.02 .05 --
9. Work for income (hrs/week) .01 .05 .08 -.08 -.11 -.07 -.14 .22** --
10. Problems with private economy -.07 .02 -.09 .11 -.02 .08 -.06 .22** -.14* --
11. Education (highest completed) .01 .00 -.03 .08 -.02 .12 -.01 .56*** .21** .10 --
M 5.53 3.18 5.04 2.23 2.21 1.46 1.29 25.2 8.51 2.69 3.79
SD 0.86 1.16 1.23 1.12 0.97 0.96 0.46 4.97 10.24 0.78 1.46
Skewness -0.35 0.27 -0.59 0.99 0.95 2.37 0.89 -1.70 1.40 -0.02 -0.01
Reliability (α) .71 .84 .90 .86 .90 .86 -- -- -- -- --
Note. N = 208. Gender: 1 = females; 2 = males.
aPearson correlations, except Spearmans point bi-serial correlations involving gender.
*p < .05. **p < .01. ***p < .001.

Empirical Models

The measurement model for Figure 1 was tested with all variables and indicators and found to fit the data well,
χ2(178, N = 208) = 308.63, p < .001; RMSEA = .060, 95% CI [.048, .071]; CFI = .96; IFI = .96; SRMR = .059.
The structural model (Figure 1) was tested with this measurement model included. In this measurement model

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all factor loadings were significant (see the data analysis section above). A negative covariance between au-
thenticity and accepting external influence was added as suggested by previous research (Wood et al., 2008).
The structural model yielded the same good fit as the measurement model, χ2(178, N = 208) = 329.56, p
< .001; RMSEA = .061, 95% CI [.051, .072]; CFI = .96; IFI = .96; SRMR = .060. The standardized parameter
estimates are shown in Figure 1, supporting Hypotheses 1, 3, 4, 5, and 14.

Mediation

Using LISREL, we tested the indirect links in Figure 1 simultaneously with testing the structural model. It was
hypothesized negative indirect links between both authenticity (Hypothesis 6) and autonomy support (Hypothe-
sis 7), respectively, and avoiding dental appointments through dental anxiety. In addition, it was predicted posi-
tive indirect links between both accepting external influence (Hypothesis 8) and a controlling clinic style (Hy-
pothesis 9), respectively, and avoiding dental appointments through dental anxiety. These predictions were
supported, except the indirect association between autonomy support and avoiding dental appointments
through dental anxiety (Hypothesis 7) (see Table 2).

Table 2

Tests of Mediation (LISREL) and Moderated Mediation (Bootstrapping) of Links Emerging in Figure 1

Independent variable (IV) Mediator (M) Dependent variable (DV) Effect SE Z(a*b path)

BC 95% CI

LL UL

Mediations
1. Authenticity (A) → Dental anxiety → Avoiding dental appointments -0.08 0.05 -1.75* -0.18 0.02
2. Autonomy support (AS) → Dental anxiety → Avoiding dental appointments 0.09 0.07 1.24 -0.05 0.23
3. A X AS → Dental anxiety → Avoiding dental appointments -0.13 0.04 -3.18*** -0.21 -0.05
4. Accepting external influence (EX) → Dental anxiety → Avoiding dental appointments 0.10 0.04 2.24** 0.02 0.18
5. Controlling clinic style (CS) → Dental anxiety → Avoiding dental appointments 0.23 0.07 3.09*** 0.09 0.37
6. EX X CS → Dental anxiety → Avoiding dental appointments 0.15 0.05 2.98*** 0.05 0.25
Moderated mediations (conditional indirect effects)
7. Authenticity → Dental anxiety → Avoiding dental appointments

For autonomy support 1 SD below the mean 0.001 0.08 -0.16 0.14
For autonomy support at the mean -0.087 0.05 -0.20 0.003
For autonomy support 1 SD above the mean -0.29*** 0.06 -0.29 -0.05

8. Accepting external influence → Dental anxiety → Avoiding dental appointments
For a controlling clinic style 1 SD below the mean -0.01 0.04 -0.10 0.07
For a controlling clinic style at the mean 0.05 0.03 -0.01 0.11
For a controlling clinic style 1 SD above the mean 0.18*** 0.06 0.06 0.31

Note. BC = bias corrected; CI = confidence interval; 5000 bootstrap samples; a-path = IV → M; b-path = M → DV; LL = lower limit; UL =
upper limit.
*p < .05. **p < .01. ***p < .001. One-tailed tests.

Analyses of Moderation and Moderated Mediation

For the moderation, the product of autonomy support and authenticity was hypothesized to be negatively asso-
ciated with dental anxiety. This hypothesis 10 was supported (Coeff = -.11, SE = .05, t = -2.07, 95% BC CI
[-.2220, -.0055] with 5000 resamples) R 2Change = .02, F(1, 201) = 4.30, p = .04, which means that the combina-
tion of high autonomy support and high authenticity would be associated with the lowest dental anxiety. In addi-
tion, the product of a controlling clinic style and accepting external influence was hypothesized to be positively

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associated with dental anxiety. This hypothesis 11 was also supported (Coeff = .14, SE = .04, t = 3.13, 95% BC
CI [.0509, .2238] with 5000 resamples) R 2Change = .04, F(1, 201) = 9.81, p = .002, which means that the combi-
nation of a high controlling treatment style and high accept of external influence would be associated with the
highest dental anxiety. These moderator relations were illustrated following the formula proposed by West,
Aikin, and Krull (1996, pp. 35 – 36) (see Figures 2 and 3).

Regarding moderated mediations, we hypothesized that the negative indirect link between authenticity and
avoiding appointments through dental anxiety would be more evident among those who experience higher au-
tonomy-supportive treatment styles (Hypothesis 12). In addition, the positive indirect link between accepting ex-
ternal influence and avoiding dental appointments through dental anxiety would be more evident among those
who experience higher controlling treatment styles (Hypothesis 11). These moderated mediation hypotheses
were supported (see Table 2). The last Hypothesis 14 stating that women would be more dental anxious than
men was also supported (see Table 1 and Figure 1).

Discussion

The structural model of dental anxiety and avoiding dental appointments was tested and received good fit. Au-
thenticity was negatively related to dental anxiety. Autonomy support did not directly predict anxiety, but moder-
ated the authenticity – dental anxiety association, such that high authenticity is associated with the lowest den-
tal anxiety in particular among patients’ perceiving high clinician autonomy support. Both accepting external in-
fluence and a controlling treatment style were positively related to dental anxiety. In addition, a controlling treat-
ment style did moderate the accepting external influence – dental anxiety link, such that high external influence
is associated with the highest dental anxiety in particular among patients’ perceiving a high controlling oral-
health-care clinician style. Further, the results revealed a negative indirect association between authenticity and
avoiding dental appointments through dental anxiety, and a positive indirect association between accepting ex-
ternal influence and avoiding dental appointments through dental anxiety. These indirect links were moderated
by autonomy supportive and controlling oral-health-care clinician styles, respectively, such that the indirect neg-
ative relation between authenticity and avoiding dental appointments through dental anxiety was more evident
among those who reported higher levels of autonomy support, and that the indirect positive relation between
accepting external influence and avoiding dental appointments through dental anxiety was more evident among
those who reported higher levels of a controlling oral-health-care clinician style. The last hypothesis stating that
women would be more dental anxious than men was also supported. Education and socioeconomic factors did
not correlate significantly with the personality constructs, oral-health-care clinician styles, dental anxiety, or
avoidance of dental appointments. These findings are supported by other research (Halvari et al., 2012a), indi-
cating that they are of minor importance among university students in Norway.

This is the first study showing that: (i) the authentic and accepting external influence personality constructs are
related to dental anxiety; (ii) autonomy support moderates the indirect association between authenticity and
avoiding dental appointments through dental anxiety, and (iii) a controlling treatment style moderates the indi-
rect association between accepting external influence and avoiding dental appointments through dental anxiety.

Authentic persons being true to oneself in most situations indicate that, when they are supported to make
healthy choices in their lives, their value and goal systems would help them to do so and to behave accordingly.

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Their values and goals are congruent, integrated in their self with their behavior, and they feel harmonious and
report low degrees of conflict (Deci & Ryan, 2000; Ryan & Ryan, 2018). Thus, because authenticity is sup-
posed to develop among persons receiving autonomy support (Deci & Ryan, 2000; Ryan & Ryan, 2018), the
authentic person is supposed to be oriented toward and select autonomy-supportive elements in the social con-
text they are familiar with from their history of learning. The interaction between authenticity and clinician au-
tonomy support indicate that patients high in authenticity report the lowest dental anxiety if they perceive receiv-
ing high autonomy support (in relation to low autonomy support) from their oral-health-care clinicians (see Fig-
ure 2).

Figure 2. Simple regression lines depicting the relationship between authenticity and dental anxiety at specified values of
autonomy support (Low = 1 SD below the mean whereas high = 1 SD above the mean).

This is as expected and in line with a meta-analysis (Su & Reeve, 2011) and an autonomy-supportive oral
health care intervention (Halvari et al., 2017) indicating that autonomy-oriented personalities showed a greater
training or intervention effect than did participants who were less autonomy-oriented. This interaction effect is
supposed to be related to the authentic personality experiencing more congruence with autonomy support, and
feel this type of support more appealing than less authentic persons, because it is integrated in their values and
goals (Deci & Ryan, 2000). Conversely, patients low in authenticity reported higher dental anxiety if they per-
ceived high autonomy support (relative to low autonomy support; see Figure 2) from their oral-health-care clini-
cians. If they do not have the authentic value- or goal-system, autonomy support from oral-health-care clini-
cians may feel unfamiliar to them and perceived as not providing structure, leaving them feeling abandoned
and thus causing conflict and anxiety. In particular, offering options of choice might be experienced as anxiety
provoking because they do not have the values and goals integrated that would help them to choose. When
receiving autonomy support, patients low in authenticity might experience higher cognitive conflict and might
not assimilate the autonomy-supportive information into their existing ways of thinking about what is motivating
them for oral health care (Su & Reeve, 2011). Such autonomy-supportive information might relate to oral-
health-care professionals’ verbal explanation intended to help the patient understand why a behavior have per-
sonal utility, acknowledgement of negative feelings as legitimate when making requests of the patient being in
conflict with his or her personal inclinations, and providing information about options, encouragement of making

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choices and initiation of patient action. Less autonomy oriented individuals might also act in a more defensive
way to information about autonomy support (Hodgins & Knee, 2002), which would further increase the level of
conflict with the autonomy support. However, patients low in authenticity can learn to respond well to autonomy
support (Williams et al., 1996).

A controlling treatment style predicted dental anxiety, which is in line with previous research (Halvari et al.,
2010, 2018). In addition, a controlling treatment style moderated the association between accepting external
influence and dental anxiety (see Figure 3). These results are in accordance with a central hypothesis in self-
determination theory (Deci & Ryan, 2000), that an increase in autonomy support (need support) or a reduction
in controllingness would influence self-determined integration of motivation, better performance, and well-being.
The result indicating that a reduction in controllingness (Figure 3) mitigate dental anxiety in particular among
patients high in accepting external influence is promising.

Figure 3. Simple regression lines depicting the relationship between an accepting external influence and dental anxiety at
specified values of a controlling treatment style (Low = 1 SD below the mean whereas high = 1 SD above the mean).

Even though the level of controlling treatment styles might be relatively low, a one-time incident of bad experi-
ence may have very negative consequences for patients. Consequently, we should bear in mind its’ larger im-
pact on individuals than positive events (Baumeister, Bratslavsky, Finkenauer, & Vohs, 2001), and its robust-
ness in predicting maladaptive developmental outcomes (Kins, Soenens, & Beyers, 2012; Soenens,
Vansteenkiste, & Luyten, 2010).

The negative link between gender and dental anxiety indicated that women had higher levels of dental anxiety
than men, which is consistent with the literature (Hill et al., 2013). Regarding education and socioeconomic sta-
tus variables, two factors that are known to influence oral health in some samples (Carmichael, Rugg, French,
& Cranage, 1980), no significant correlations appeared with the other study variables. This is in line with other
research among student patients (Halvari et al., 2012a).

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Practical Implications

It is worth noting that autonomy support, or the reduction in controllingness which is an element of autonomy
support, are involved in both personality interactions, with authenticity and with accepting external influence.
Oral-health-care clinicians use of autonomy support and their reduction of controllingness might be very impor-
tant in reducing dental anxiety and avoiding dental appointments among patients. Autonomy support can be
learned (Williams & Deci, 1996). Examples from oral-health-care interventions that could be utilised in training
of clinicians are exercises eliciting and reflecting patient perspectives, providing options and a rationale for
change when a recommendation is made, supporting patient initiatives, minimizing pressure and a controlling
language, and remaining non-judgmental. According to self-determination theory, such support is of vital impor-
tance in patient oral health promotion (Halvari & Halvari, 2006; Halvari, et al., 2012a; Halvari, Halvari,
Bjørnebekk, & Deci, 2012b).

Strengths and Limitations

Many strengths and limitations apply to the present study. First, self-reports were appropriate for authenticity,
accepting external influence, perceived autonomy support, controlling style, and dental anxiety. However, ob-
served measures of avoiding dental appointments would have strengthened the design. Construct validity of
the self-report measures were demonstrated in SEM. Second, the current sample is a convenience sample
from a specific population of student patients. The sample was not selected to be representative of all student
patients, so caution must be taken when it comes to generalizing the results. However, the purpose of the
present study was to test the links between variables derived from Self-Determination Theory, which is an uni-
versal theory, assuming that constructs such as authenticity and dental anxiety are more or less present in all
individuals (Deci & Ryan, 2000). This means we tried to maximize the internal validity of the study, assuming
that the relations between variables would be the same independent of sample variations. Third, the study has
the limitations associated with being cross-sectional and the absence of a design allowing randomized control
and longitudinal data implies that conclusions regarding causality cannot be inferred (Bollen, 1989). The analy-
sis of the hypothesized model was performed in SEM with latent variables, which is a strength because error
variances are accounted for. Still, the arrows between variables do not imply causality.

Competing Interests
The authors declared no potential conflicts of interest with respect to the research, authorship, and/or publication of this
article.

Funding
The authors received no financial support for the research, authorship, and/or publication of this article.

Acknowledgments
The authors have no acknowledgements to report.

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A bout  the  Au thor s

Anne Elisabeth Münster Halvari is Associate Professor at the Faculty of Dentistry, Department of Dental Hygienist Educa-
tion, University of Oslo, Norway. She is also an Adjunct Associate Professor at Department of Health, Social and Welfare
Studies, University of South-Eastern Norway, Bakkenteigen, Norway. She holds a PhD in motivational psychology and oral
health from the University of Oslo. Halvari has published numerous research articles on self-determined motivation, oral
health behaviors, well-being, and oral health.

Hallgeir Halvari is Professor in management and motivation at the Department of Business and Social Sciences, University
of South-Eastern Norway, and Professor in sport psychology at the University of Sport Sciences, Oslo, Norway. He holds a
PhD in educational psychology from the University of Oslo. Halvari has published numerous research articles on motivation,
self-determined behavior, well-being, physical health, and performance-related factors in the fields of health, work, educa-
tion, and sport.

Edward L. Deci is Professor in Management at the University of South-Eastern Norway, Professorial Fellow in Motivation at
Australian Catholic University in North Sydney, and Helen F. and Fred H. Gowen Professor Emeritus in the Social Sciences
at the University of Rochester in New York. He holds a Ph.D. in psychology from Carnegie-Mellon University, studied at the
University of Pennsylvania, the London School of Economics, and Hamilton College, and was an interdisciplinary post-doc-
toral fellow at Stanford University. Deci’s focus is human motivation, and he is co-founder with Richard M. Ryan of Self-
Determination Theory. He has published eleven books and is a grantee of the National Institutes of Health, the National
Science Foundation, and the Institute of Education Sciences.

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	Personality, Treatment, Dental Anxiety, and Avoidance of Dental Appointments
	(Introduction)
	The Authentic and Accepting-External-Influence Personalities
	Self-Determination Theory: Autonomy-Supportive and Controlling Treatment Styles
	The Moderated and Moderated Mediation Roles of Treatment Styles
	Possible Control / Background Variables
	Hypotheses

	Method
	Participants
	Translation of Measures and Their Reliabilities
	Design of Questionnaire
	Questionnaires
	Data Analysis

	Results
	Descriptive Statistics and Reliability
	Hypotheses Testing
	Theoretical Model
	Empirical Models
	Mediation
	Analyses of Moderation and Moderated Mediation

	Discussion
	Practical Implications
	Strengths and Limitations

	(Additional Information)
	Competing Interests
	Funding
	Acknowledgments

	References
	About the Authors