Relationship between Anxiety Disorders and Anthropometric Indices, Risk Factors, and Symptoms of Cardiovascular Disorder in Children and Adolescents

Ahmadi, Nastaran; Farahzadi, Mohammad Hadi; Mohammadi, Mohammad Reza; Mostafavi, Seyed‐Ali; Moeeini, Sedigheh Saadat; Shahvazian, N; Saghafi, Fatemeh; Negintaji, Sina; Bidaki, Reza

doi:10.18502/ijps.v16i4.7228

Cited by 6 publications

(7 citation statements)

References 29 publications

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“…The clinical conditions associated with depressive symptoms were malnutrition, 43,71,99 poor sleep quality, 16,27,59,63,124,125 and higher levels of anxiety 50 stress, 43,49 pre-existing medical conditions, and self-reported pain as well as lower levels of self-reported health. Similar findings were reported in prepandemic studies (malnutrition 96,126,127 ; worse sleep quality 74,[128][129][130][131] ; anxiety 86,132,133 ). Healthy eating and sleep are factors that promote mental health.…”

Section: Clinical Factorssupporting

confidence: 88%

Depression in older adults during the COVID‐19 pandemic: A systematic review

Silva

Fonseca

Ferreira

et al. 2023

J American Geriatrics Society

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Background Depression affected 5.7% of people aged 60 years and over prior to the pandemic and has increased by approximately 28%. The aim of this study is to identify and describe factors associated with depressive symptoms, the diagnostic assessment instruments and interventions used to evaluate and treat depression in adults aged 60 years and older since the onset of the COVID‐19 pandemic. Methods Four electronic databases were systematically searched to identify eligible studies published since the beginning of the COVID‐19 pandemic. A total of 832 articles were screened, of which 53 met the inclusion criteria. Results Factors contributing to depressive symptoms in older adults prior to the pandemic were grouped into the following categories: sociodemographic characteristics (i.e., being female); loneliness and weak social support; limitations in daily functioning, physical activity and neurocognitive impairment; and clinical factors. The following groups of factors directly related to the pandemic were found: stress‐related factors and feelings or worries related to the pandemic; information access (e.g., receiving news about COVID‐19 through the media); factors directly related to COVID‐19 (e.g., having infected acquaintances); and factors related to the measures that were taken to reduce the spread of COVID‐19 (e.g., confinement measures). The most frequently used instrument to assess depressive symptoms was the Geriatric Depression Scale Short Form (GDS‐SF). Four studies implemented interventions during the pandemic that led to significant reductions in depressive symptoms and feelings of loneliness. Conclusions Improved understanding of pandemic‐associated risk factors for depression can inform person‐cantered care. It is important continued mental healthcare for depression for older adults throughout crises, such as the COVID‐19 pandemic. Remote delivery of mental healthcare represents an important alternative during such times. It is crucial to address depression in older adults (which often causes disability), since the pandemic situation has increased depressive symptoms in this population.

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Section: Clinical Factorssupporting

confidence: 88%

Depression in older adults during the COVID‐19 pandemic: A systematic review

Silva

Fonseca

Ferreira

et al. 2023

J American Geriatrics Society

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“…These findings regarding HRQOL confirm that these subscales are the most greatly influenced by malnutrition. 22,34,43–45…”

Section: Discussionmentioning

confidence: 99%

Correlation between malnutrition and health-related quality of life (HRQOL) in elderly Iranian adults

et al. 2019

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Objectives: We aimed to evaluate the association of nutritional status and health-related quality of life (HRQOL) among elderly Iranian residents. Methods: We used the 36-item Short Form Health Survey (SF-36) to assess HRQOL among participants with normal nutrition status, at risk of malnutrition, and malnourished. Results: Mean group scores for the Physical Component Summary (PCS) of the SF-36 were 44, 36.5, and 29.0 for normal, at-risk, and malnourished groups, respectively; for the Mental Component Summary (MCS), these were 47.1, 40.7, and 34.8, respectively. The PCS and MCS displayed significant positive correlation with malnutrition in three models: crude (I); age-and

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“…Finding genetic factors for these more specific phenotypes could lead to improved biological understanding of pathological anxiety and identification of targets for treatment development, as well as aiding in diagnosis and prognosis. Anxiety disorders are prime candidates for the discovery of more homogeneous and objective biomarkers that can be used to improve genetic studies, as they are characterized by measurable physiological changes, most notably in the cardiovascular system (Ahmadi et al., 2021; Hoehn‐Saric et al., 2004). In particular, parasympathetic indices of heart rate variability (HRV) have been shown to be decreased in anxiety disorders across several independent studies, making the genetics of HRV potentially valuable for the search of genetic markers of anxiety (Chalmers et al., 2014; Cheng et al., 2022).…”

Section: Introductionmentioning

confidence: 99%

Heart rate variability: Evaluating a potential biomarker of anxiety disorders

Tomasi,

Zai,

Pouget

et al. 2023

Psychophysiology

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Establishing quantifiable biological markers associated with anxiety will increase the objectivity of phenotyping and enhance genetic research of anxiety disorders. Heart rate variability (HRV) is a physiological measure reflecting the dynamic relationship between the sympathetic and parasympathetic nervous systems, and is a promising target for further investigation. This review summarizes evidence evaluating HRV as a potential physiological biomarker of anxiety disorders by highlighting literature related to anxiety and HRV combined with investigations of endophenotypes, neuroimaging, treatment response, and genetics. Deficient HRV shows promise as an endophenotype of pathological anxiety and may serve as a noninvasive index of prefrontal cortical control over the amygdala, and potentially aid with treatment outcome prediction. We propose that the genetics of HRV can be used to enhance the understanding of the genetics of pathological anxiety for etiological investigations and treatment prediction. Given the anxiety–HRV link, strategies are offered to advance genetic analytical approaches, including the use of polygenic methods, wearable devices, and pharmacogenetic study designs. Overall, HRV shows promising support as a physiological biomarker of pathological anxiety, potentially in a transdiagnostic manner, with the heart–brain entwinement providing a novel approach to advance anxiety treatment development.

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Relationship between Anxiety Disorders and Anthropometric Indices, Risk Factors, and Symptoms of Cardiovascular Disorder in Children and Adolescents

Cited by 6 publications

References 29 publications

Depression in older adults during the COVID‐19 pandemic: A systematic review

Depression in older adults during the COVID‐19 pandemic: A systematic review

Correlation between malnutrition and health-related quality of life (HRQOL) in elderly Iranian adults

Heart rate variability: Evaluating a potential biomarker of anxiety disorders

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