The relations among worry, meta-worry, intolerance of uncertainty and attentional bias for threat in men at high risk for generalized anxiety disorder: a network analysis
Ren et al. BMC Psychiatry
(2020) 20:452
https://doi.org/10.1186/s12888-020-02849-w
RESEARCH ARTICLE
Open Access
The relations among worry, meta-worry,
intolerance of uncertainty and attentional
bias for threat in men at high risk for
generalized anxiety disorder: a network
analysis
Lei Ren1†, Zhou Yang2†, Yidi Wang3†, Long-Biao Cui1, Yinchuan Jin1, Zhujing Ma1, Qintao Zhang1, Zhongying Wu1,
Hua-Ning Wang4* and Qun Yang1*
Abstract
Background: Improving the psychotherapies for generalized anxiety disorder (GAD) is dependent on a deeper
understanding of the relations between GAD and its associated cognitive factors. In the present study, we
investigate how the core feature of GAD (i.e., worry) and its associated cognitive factors, such as meta-worry,
intolerance of uncertainty, and attention bias towards threat, relate to each other in men at high risk for GAD.
Methods: We used network analysis to explore the relations among these variables in a cross-sectional sample of
122 men at high risk for generalized anxiety disorder. Specifically, we computed the expected influence and
predictability of each variable.
Results: In the final network, we found that worry and meta-worry had the highest expected influence and
predictability. In contrast, attention bias towards threat showed the lowest expected influence and predictability.
The estimates of the expected influence of the nodes were stable (correlation stability coefficient = 0.52).
Conclusions: The present study is the first to investigate the relations among worry, meta-worry, intolerance of
uncertainty, and attention bias towards threat in men at high risk for generalized anxiety disorder. These findings
indicate that worry and meta-worry may play important roles in the present network. The implications for clinical
interventions and future studies are discussed.
Keywords: Generalized anxiety disorder, High risk, Network analysis, Attention bias, Meta-worry, Intolerance of
uncertainty, Worry
* Correspondence: ;
†
Lei Ren, Zhou Yang and Yidi Wang contributed equally to this work.
4
Department of Psychiatry, Xijing Hospital, Fourth Military Medical University,
Xi’an, China
1
Department of Clinical Psychology, School of Medical Psychology, Fourth
Military Medical University, Xi’an, China
Full list of author information is available at the end of the article
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Ren et al. BMC Psychiatry
(2020) 20:452
Background
Generalized anxiety disorder (GAD) is characterized by excessive and uncontrollable worry about a series of events or
activities and is usually accompanied by other nonspecific
psychological and physical symptoms that last at least 6
months [1]. This chronic anxiety disorder is one of the
most common mental health problems and some representative epidemiological surveys show that the lifetime prevalence is 4.3–5.9% [2]. Additionally, GAD is particularly
prevalent in primary care settings and occurs in 7–8% of
patients [3]. Individuals with GAD have considerable role
impairment and a high comorbidity with depression [4]. If
GAD is not treated promptly, its prognosis is poor [5].
Both pharmacotherapies and psychotherapies have
shown efficacy in the treatment of GAD [6, 7]. However,
with GAD, clinicians and patients are more likely to consider psychotherapies than pharmacotherapies [2]. Among
these psychotherapies, cognitive behavioral therapy (CBT)
is often considered a first-line therapy because the evidence for the use of CBT is strongest compared with other
psychotherapies [7]. Although CBT can effectively reduce
symptoms in as many as 50% patients with GAD, it is unclear how best to treat patients who do not respond to
these therapies or who respond only partially [8]. Improving the psychotherapies for GAD is dependent on a deeper
understanding of the relations between GAD and its associated cognitive factors [9].
There are several cognitive models that focus on cognitions as key factors driving the development and maintenance of GAD (specifically, the core symptom of GAD: worry)
[9]. These models include the intolerance of uncertainty
model (IUM) [10, 11], the metacognitive model (MCM) [12],
and the cognitive-motivational framework (CMF) [13]. These
three cognitive models interpret generalized anxiety from different cognitive perspectives, with relevant empirical supports and theory-based treatment strategies [9].
The IUM emphasizes intolerance of uncertainty (IU) as a
crucial factor in the development and maintenance of GAD
[14, 15]. Previous studies have found that there is a strong
correlation between IU and worry [9, 15]. IU is defined as
“a dispositional characteristic that arises from a set of negative beliefs about uncertainty and its connotations and consequences” [16]. IU often triggers a chain reaction of worry,
negative problem orientation, and cognitive avoidance [17].
Furthermore, individuals who have high IU are more inclined to treat ambiguous phenomena as unacceptable and
threatening, thus causing a negative problem orientation,
an inability to take action, and an avoidance response style
[18, 19]. Thus, they will be more likely to fall into the
process of worry. Under this model, the main goals of GAD
therapy are increasing the patient’s tolerance and acceptance of uncertainty [20]. Some randomized clinical trial results with moderate to large effects also support this
intervention [21–23].
Page 2 of 11
The MCM proposes negative metacognitive beliefs that
consist of the uncontrollability of worry and the dangerousness of worry (e.g., “I can’t control my worries” or “my worries will make me ill”) as a central component in the
development and maintenance of GAD [24]. In the MCM,
two different types of worry exist in individuals with GAD
[24–26]. Type-1 worry is worry about external events and
internal noncognitive events. It is a strategic choice to cope
with a potentially threatening situation, dependent on the
activation of (...truncated)