Elsevier

Physiology & Behavior

Volume 107, Issue 1, 20 August 2012, Pages 1-6
Physiology & Behavior

A sigh following sustained attention and mental stress: Effects on respiratory variability

https://doi.org/10.1016/j.physbeh.2012.05.013Get rights and content

Abstract

Normal breathing consists of considerable correlated variability (parameters of subsequent breaths are correlated) and some random variability. Emotional and attentive states alter normal breathing variability, which can be restored by a sigh. The present study aimed to investigate the effects of mental arithmetic and sustained attention on respiratory variability. In addition, the effect of a spontaneous sigh following both conditions was examined, compared to an instructed sigh and a control maneuver. Mental arithmetic and sustained attention were characterized by decreased correlated and total breathing variability, respectively. A spontaneous sigh restored correlated variability. An instructed sigh restored correlated variability following mental arithmetic, and increased total variability following sustained attention. These results suggest that a spontaneous sigh and an instructed sigh, when physiologically appropriate, restore respiratory variability influenced by stress or attention.

Highlights

► Mental arithmetic stress reduces correlated breathing variability. ► Sustained attention reduces total breathing variability. ► Spontaneous sighs reset correlated breathing variability. ► Instructed sighs reset breathing variability when physiologically appropriate.

Section snippets

Participants

Forty-seven volunteers participated in the study (23 men, age range 18–30, mean age 22). All participants reported to be in good health, not to suffer from any organic disease or mental disorder, nor to take any medication for these. The experiment was approved by the Ethics Committees of the Department of Psychology and of the Faculty of Medical Sciences of the University of Leuven, Belgium.

Apparatus and measures

Respiration was measured continuously by means of respiratory inductive plethysmography (RIP), using the

Subjective measures

Task difficulty, task effort, stress level and attention resources were compared between the sustained attention tasks and the mental arithmetic tasks by a repeated measures ANOVA with “task” as within subject variable. Attention, boredom, tension and relaxation scores were analyzed in a repeated measures ANOVA with “phase” as within subject variable to compare these ratings between the sustained attention task, the mental arithmetic task and the recovery periods.

Respiratory variability during sustained attention and mental stress

Mean(Vt), Mean(RR), Mean(MV),

Subjective measures

Compared to the attention task, the mental arithmetic task was rated more difficult (F(1,46) = 166.83, p < .0001) and stressful (F(1,46) = 88.61, p < .0001), requiring more effort (F(1,46) = 205.40, p < .0001) and attention resources (F(1,46) = 108.34, p < .0001). Boredom (F(2,92) = 6.95, p < .01), tension (F(2,92) = 32.28, p < .0001), relaxation (F(2,92) = 19.22, p < .0001) and attention (F(2,92) = 76.28, p < .0001) differed significantly among phases. Participants felt less bored (both p < .01), more tense (p < .001), less

Discussion

The aim of the present study was to replicate the effects of sustained attention and mental stress on respiratory variability and to investigate the influence of spontaneous and instructed sighing on respiratory variability following each of these psychological states.

The current study showed that mental stress and sustained attention were successfully induced and replicated the finding that sustained attention was characterized by decreased total variation in breathing frequency (when sighs

Acknowledgments

Elke Vlemincx is a postdoctoral fellow of the Research Foundation—Flanders (FWO).

References (52)

  • F.J. Keefe et al.

    Development of an observation method for assessing pain behavior in chronic low back pain patients

    Behav Ther

    (1982)
  • F.J. Keefe et al.

    An objective approach to quantifying pain behavior and gait patterns in low back pain patients

    Pain

    (1985)
  • F.J. Keefe et al.

    Direct observation of pain behavior in low back pain patients during physical examination

    Pain

    (1984)
  • M.J. Tobin et al.

    Breathing patterns. 2. Diseased subjects

    Chest

    (1983)
  • E. Vlemincx et al.

    Take a deep breath: the relief effect of spontaneous and instructed sighs

    Physiol Behav

    (2010)
  • G. Willemsen et al.

    Secretory immunoglobulin A and cardiovascular activity during mental arithmetic: effects of task difficulty and task order

    Biol Psychol

    (2000)
  • F.A. Boiten et al.

    Emotions and respiratory patterns: review and critical analysis

    Int J Psychophysiol

    (1994)
  • M.C. Pfaltz et al.

    Physical activity and respiratory behavior in daily life of patients with panic disorder and healthy controls

    Int J Psychophysiol

    (2010)
  • G.G. Berntson et al.

    From homeostasis to allodynamic regulation

  • E.N. Bruce et al.

    Mechanisms and analysis of ventilatory stability

  • R.L. Hughson et al.

    Is the pattern of breathing at rest chaotic? A test of Lyapunov exponent

    Adv Exp Med Biol

    (1995)
  • M. Small et al.

    Is breathing in infants chaotic? Dimension estimates for respiratory patterns during quiet sleep

    J Appl Physiol

    (1999)
  • M.J. Tobin et al.

    Interrelationship of breath components in neighboring breaths of normal eupneic subjects

    Am J Respir Crit Care Med

    (1995)
  • I. Stevenson et al.

    Variations in respiration and in respiratory symptoms during changes in emotion

    Psychosom Med

    (1952)
  • J.M. Martinez et al.

    Respiratory variability in panic disorder

    Depress Anxiety

    (2001)
  • V.K. Yeragani et al.

    Nonlinear measures of respiration: respiratory irregularity and increased chaos of respiration in patients with panic disorder

    Neuropsychobiology

    (2002)
  • Cited by (44)

    • Extending affective capabilities for medical assistive robots

      2022, Cognitive Systems Research
      Citation Excerpt :

      The mood can also be estimated with a multi-sensor analysis. Among the parameters of interest to be monitored, there are the Hearth rate variability (HRV) (Kleiger, Stein, & Bigger Jr, 2005), the respiratory variable (Vlemincx, Diest, & Bergh, 2012), the power ECG (Dressler, Schneider, Stockmanns, & Kochs, 2004; Erla, Faes, Tranquillini, Orrico, & Nollo, 2011), and the electromyography (Wijsman, Grundlehner, Penders, & Hermens, 2013). Considering that the measurement system should avoid being invasive, we have selected a set of parameters that can be measured with sensors that can be embedded in a gadget like a smart bracelet: the peak distance in earth activity (RR distance), the blood volume pulse (BLV), the skin galvanic response and temperature.

    • The sigh and related behaviors

      2022, Handbook of Clinical Neurology
    • Peripheral-to-central immune communication at the area postrema glial-barrier following bleomycin-induced sterile lung injury in adult rats

      2020, Brain, Behavior, and Immunity
      Citation Excerpt :

      Moreover, serum immune factors upregulated in response to lung injury may be involved, given their ability to disrupt central cardiorespiratory circuits that include the nTS (Sekiyama et al., 1995; Rummel et al., 2006; Laaris and Weinreich, 2007; Marty and El Hachmane, 2008; Ruchaya et al., 2012; Waki et al., 2013; Koch et al., 2015; Vance et al., 2015; Forsberg et al., 2016, 2017). Consequently, ventilatory behaviors such as re-setting sighs that typically act to restore normal ventilatory patterning may be less effective during SLI (Khoo, 2000; Nakamura et al., 2003; Baldwin et al., 2004; Yamauchi et al., 2008; Nguyen et al., 2012; Vlemincx et al., 2012, 2013; Ramirez, 2014). Thus, we hypothesized that SLI would decrease the occurrence rate and effectiveness of resetting sighs and that central application of indomethacin (Ind), a COX-1/2 inhibitor, would reverse this effect.

    View all citing articles on Scopus
    View full text