Power laws in covariability of anxiety and depression among newly diagnosed patients with major depressive episode, panic disorder and controls

Katerndahl, David A.

doi:10.1111/j.1365-2753.2009.01166.x

Cited by 18 publications

(13 citation statements)

References 26 publications

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“…Several studies have shown that high levels of mood regularity (low variability, in other words) are characteristic of disease states particularly in patients with major depression (Katerndahl and Wang 2007), posttraumatic stress disorder (Cowdry et al 1991), or panic disorder (Katerndahl and Wang 2007). …”

Section: Clinical Applicationsmentioning

confidence: 99%

Electronic monitoring of self-reported mood: the return of the subjective?

Ortiz

Grof

2016

Int J Bipolar Disord

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This narrative review describes recent developments in the use of technology for utilizing the self-monitoring of mood, provides some relevant background, and suggests some promising directions. Subjective experience of mood is one of the valuable sources of information about the state of an integrated mind/brain system. During the past century, psychiatry and psychology moved away from subjectivity, emphasizing external observation, precise measurement, and laboratory techniques. This shift, however, provided only a limited improvement in the understanding of mood disorders, and it appears that self-monitoring of mood has the potential to enrich our knowledge, particularly when combined with the advances in technology. Modern technology, with its ability to transfer information from the individual directly to the researcher via electronic applications, enables us now to study mood regulation more thoroughly. Frequent subjective ratings can be helpful in identifying individualized treatment with effective mood stabilizers and recognizing subtypes of mood disorders. The variability of subjective ratings may also help us estimate the increased risk of recurrence and guide a tailored treatment.

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Section: Clinical Applicationsmentioning

confidence: 99%

Electronic monitoring of self-reported mood: the return of the subjective?

Ortiz

Grof

2016

Int J Bipolar Disord

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“…Although an established, validated approach to estimating complexity of care exists based upon the number of possible states a system can take [7], this approach does not assess interdependence within the system.from '0' and then decay exponentially, and are said to be 'fractal' and scale invariant, displaying similar dynamics across scale or magnification. Such power law distributions have been found in mental disorders [10,11], back pain [12,13] and health care utilization [14,15]. Although a variety of mechanisms could yield power law distributions, all involve interdependence [16].…”

Section: Introductionmentioning

confidence: 98%

Measuring interdependence in ambulatory care

Katerndahl

Wood

Jaén

2015

Evaluation Clinical Practice

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“…It is plausible that the co‐variation between anxiety and depression may be due to external factors that act within a person, to multiple interrelated internal factors, and to the person’s confrontation and adaptation attempts in response to stressful events (Katerndahl, 2009). An inherited predisposition to autonomous overexcitement may explain the vulnerability toward depression and anxiety.…”

Section: Introductionmentioning

confidence: 99%

Factors that influence emotional disturbance in adults living in extreme poverty

Palomar-Lever

Victorio-Estrada

2011

Scandinavian J Psychology

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Living in poverty conditions implies exposure to severe circumstances of social disadvantage, associated with greater propensity to contract illnesses. A negative correlation has consistently been observed between health and poverty. The chronic exposure to stress affects people's well-being through the development of symptoms of anxiety and depression. The suffering of these symptoms for a long time period may be considered as part of a more general syndrome of emotional disturbance, in detriment to a person's mental health. The objective of this study is to identify psychological factors that influence emotional disturbance, measured as symptoms of anxiety and depression, in adults living in poverty conditions in Mexico's central region. A total of 913 adults, 65.2% female, were surveyed. The mean age of the participants was 43.71 (±12.58) years and the mean number of years of schooling was 4.04 (±3.36). Variables corresponding to personal characteristics were measured. The results indicate that the most important risk factor for depression is anxiety and vice versa. Additionally, gender, negative self-esteem, lack of adequate strategies for confronting and resolving difficulties, and lack of self-regulation predicted depression, whereas stress, lack of self-regulation, and coping style predicted anxiety. These variables were better predictors than optimism, locus of control, sense of humor or religiosity.

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Power laws in covariability of anxiety and depression among newly diagnosed patients with major depressive episode, panic disorder and controls

Cited by 18 publications

References 26 publications

Electronic monitoring of self-reported mood: the return of the subjective?

Electronic monitoring of self-reported mood: the return of the subjective?

Measuring interdependence in ambulatory care

Factors that influence emotional disturbance in adults living in extreme poverty

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