Psychological distress: concept analysis

Ridner, Sheila H.

doi:10.1046/j.1365-2648.2003.02938.x

Cited by 588 publications

(453 citation statements)

References 33 publications

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“…The distress and somatization scales contain 16 items each (score range 0-32), the anxiety scale consists of 12 items (score range 0-24), and the depression scale comprises 6 items (score range 0-12). The distress scale measures the discomforting, emotional state experienced by an individual in response to a specific stressor or demand (Ridner 2004). High distress scores indicate that the individual is having a hard time trying to handle the stressor or demand and trying to maintain an acceptable level of psychosocial functioning (Terluin et al 2004).…”

Section: Psychological Symptomsmentioning

confidence: 99%

“…However, none of the studies tried to distinguish between depression and distress. Distress is seldom clearly defined as a distinct entity but it is generally and loosely conceived of as a collection of signs and symptoms indicating otherwise unspecified mental health problems, including anxiety and depression, stress-related symptoms, emotional ill-being, and functional impairment (Ridner 2004;Emmanuel and St John 2010). As such, the concept of distress is broader than depression and encompasses depression to a large degree.…”

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confidence: 99%

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Psychological symptoms and subsequent sickness absence

Terluin

Rhenen²,

Anema

et al. 2011

Int Arch Occup Environ Health

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Purpose Mental health problems are associated with sickness absence (SA). The present study aimed at establishing which symptoms-distress, depression, anxiety, or somatization-at which symptom levels were associated with SA frequency and duration. Moreover, a number of possible confounders or effect modifiers were taken into account. Methods A survey was completed by 3,678 employees of a large Dutch telecom company. Symptoms were measured using the Four-Dimensional Symptom Questionnaire (4DSQ). SA data were registered by the company's occupational health service during the 12 months' period following the survey. Poisson regression was used to analyze the number of SA spells (SA frequency). Negative binomial regression was used to analyze the total number of SA days (SA duration). Results In the bivariate analyses distress, depression, anxiety, and somatization impacted on SA frequency and duration. In the multivariate analyses, anxiety and depression turned out not to be directly associated with SA, suggesting that the effect of anxiety and depression was due to the association between anxiety/depression and distress/somatization. Regarding the SA frequency, the rate ratio for 'subclinical' distress was 1.13 (95% CI 1.03-1.25), for 'clinical' distress 1.26 (1.08-1.47), for 'subclinical' somatization 1.34 (1.23-1.46), and for 'clinical' somatization 1.69 (1.46-1.95). Regarding the SA duration, the count ratio for 'subclinical' distress was 1.15 (95% CI 0.91-1.44), for 'clinical' distress 1.50 (1.04-2.16), for 'subclinical' somatization 1.34 (1.10-1.64), and for 'clinical' somatization 1.45 (1.04-2.03). Conclusions Somatization and distress are key to understand why depression and anxiety are related to SA.

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Section: Psychological Symptomsmentioning

confidence: 99%

mentioning

confidence: 99%

Psychological symptoms and subsequent sickness absence

Terluin

Rhenen²,

Anema

et al. 2011

Int Arch Occup Environ Health

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“…15,24 In clinical research, these negative emotional states are often captured under the umbrella term of distress. 25 …”

Section: Stress What Are We Really Talking About?mentioning

confidence: 99%

Stress as Necessary Component of Realistic Recovery in Animal Models of Experimental Stroke

Walker

Jones

Patience

et al. 2013

J Cereb Blood Flow Metab

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Over the last decade there has been a considerable effort directed toward reformulating the standard approach taken to preclinically model stroke and stroke recovery. The principal objective of this undertaking has been to improve the success with which preclinical findings can be translated. Although several advancements have already been introduced, one potentially critical feature that appears to have been overlooked is psychological stress. Stroke is well recognized to produce high levels of stress in patients, and ongoing exposure to stress is recognized to deleteriously interfere with recovery. The presence of high levels of stress (distress) in stroke patients is also relevant because nearly all clinically deployed neurorestorative interventions occur against this background. Somewhat perplexingly, however, we could find no preclinical stroke studies concerned with investigating the efficacy of putative neurorestorative compounds that did so in the presence of stress. The following article will make the case that failure to recognize or compensate for the effects of ongoing stress in standard preclinical experimental models of recovery is likely to result in overestimation of the effectiveness of pharmacological or behavioral neurorestorative interventions.

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“…It is defined in terms of both beliefs and religious practices regarding an organized religious affiliation or an authority and divine power (Pargament, 1997;Shafranske & Malony, 1990). While, psychological distress is largely described as state of emotional turmoil manifested by symptoms of depression (e.g., lost interest; sadness; hopelessness) and anxiety (e.g., restlessness; feeling tense) (Mirowsky & Ross, 2002).…”

Section: Introductionmentioning

confidence: 99%

“…Underlying mechanism which is used to explain this relationship is the buffering hypothesis; religiosity may buffer the impact of distress on psychological wellbeing and physiological health (Kendler, Gardner, & Prescott, 1997;Krause, 1998;Pargament, 1997).…”

Section: Introductionmentioning

confidence: 99%

Religiosity in relation with psychological distress and mental wellbeing among Muslims

Raza¹,

Yousaf²,

Rasheed³

2016

IJRSP

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The aim of present research was to investigate the relationship among religiosity, psychological distress and mental wellbeing. The current study was conducted on a purposive sample of undergraduates and graduates taken from University of Sargodha, Mianwali sub-campus and Chashma city (n = 100). The sample comprised of male (n = 50) and female (n = 50). In order to measure religiosity, psychological distress and mental wellbeing, English version of Centrality of Religiosity Scale (Huber & Huber, 2012), Kessler Psychological Distress Scale (Kessler et al., 2002), and The Warwick-Edinburgh Mental Well-being Scale (Tennant, Hiller, & Platt, 2007) were used respectively. Linear regression analysis portrayed that religiosity is significant positive predictor of mental wellbeing while religiosity appeared as a non-significant correlate of psychological distress. Data analysis also revealed that mental well-being is significant negative predictor of Psychological distress. Moreover, the analysis revealed that the mean scores for the females significantly higher on religiosity and psychological distress. While non-significant gender differences were found in mental wellbeing.

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Psychological distress: concept analysis

Cited by 588 publications

References 33 publications

Psychological symptoms and subsequent sickness absence

Psychological symptoms and subsequent sickness absence

Stress as Necessary Component of Realistic Recovery in Animal Models of Experimental Stroke

Religiosity in relation with psychological distress and mental wellbeing among Muslims

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