Balancing anxiety and social desire

Blackman, Dakota R.; Falkner, Annegret L.

doi:10.1038/s41593-021-00812-w

Cited by 4 publications

(3 citation statements)

References 14 publications

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“…Our analysis is consistent with the clinical anxiety group’s self-reports that they had less frequent social interactions with others during the lockdown. Social support systems, either in-person or online, are well-known protective factors against physiological and psychological stressors and can mitigate the impact of loneliness in times of uncertainty, including during infectious disease outbreaks [ 37 - 41 ]. Decreased social support has been associated with a higher mental health burden in COVID-19 literature [ 42 , 43 ].…”

Section: Discussionmentioning

confidence: 99%

Shift in Social Media App Usage During COVID-19 Lockdown and Clinical Anxiety Symptoms: Machine Learning–Based Ecological Momentary Assessment Study

Ryu¹,

Sükei²,

Norbury³

et al. 2021

JMIR Ment Health

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Background Anxiety symptoms during public health crises are associated with adverse psychiatric outcomes and impaired health decision-making. The interaction between real-time social media use patterns and clinical anxiety during infectious disease outbreaks is underexplored. Objective We aimed to evaluate the usage pattern of 2 types of social media apps (communication and social networking) among patients in outpatient psychiatric treatment during the COVID-19 surge and lockdown in Madrid, Spain and their short-term anxiety symptoms (7-item General Anxiety Disorder scale) at clinical follow-up. Methods The individual-level shifts in median social media usage behavior from February 1 through May 3, 2020 were summarized using repeated measures analysis of variance that accounted for the fixed effects of the lockdown (prelockdown versus postlockdown), group (clinical anxiety group versus nonclinical anxiety group), the interaction of lockdown and group, and random effects of users. A machine learning–based approach that combined a hidden Markov model and logistic regression was applied to predict clinical anxiety (n=44) and nonclinical anxiety (n=51), based on longitudinal time-series data that comprised communication and social networking app usage (in seconds) as well as anxiety-associated clinical survey variables, including the presence of an essential worker in the household, worries about life instability, changes in social interaction frequency during the lockdown, cohabitation status, and health status. Results Individual-level analysis of daily social media usage showed that the increase in communication app usage from prelockdown to lockdown period was significantly smaller in the clinical anxiety group than that in the nonclinical anxiety group (F1,72=3.84, P=.05). The machine learning model achieved a mean accuracy of 62.30% (SD 16%) and area under the receiver operating curve 0.70 (SD 0.19) in 10-fold cross-validation in identifying the clinical anxiety group. Conclusions Patients who reported severe anxiety symptoms were less active in communication apps after the mandated lockdown and more engaged in social networking apps in the overall period, which suggested that there was a different pattern of digital social behavior for adapting to the crisis. Predictive modeling using digital biomarkers—passive-sensing of shifts in category-based social media app usage during the lockdown—can identify individuals at risk for psychiatric sequelae.

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Section: Discussionmentioning

confidence: 99%

Shift in Social Media App Usage During COVID-19 Lockdown and Clinical Anxiety Symptoms: Machine Learning–Based Ecological Momentary Assessment Study

Ryu¹,

Sükei²,

Norbury³

et al. 2021

JMIR Ment Health

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“…Hypertension affects approximately 1 billion adults and associated with 9 million global fatalities annually [ 3 ]. Besides hypertension, mental disorders are serious public health concern [ 4 ]. According to a meta-analysis, the incidence of comorbid hypertension and anxiety is approximately 38% [ 5 ].…”

Section: Introductionmentioning

confidence: 99%

Comorbidity of Anxiety and Hypertension: Common Risk Factors and Potential Mechanisms

Qiu

Jiang

Chen

et al. 2023

International Journal of Hypertension

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Anxiety is more common in patients with hypertension, and these two conditions frequently coexist. Recently, more emphasis has been placed on determining etiology in patients with comorbid hypertension and anxiety. This review focuses on the common risk factors and potential mechanisms of comorbid hypertension and anxiety. Firstly, we analyze the common risk factors of comorbid hypertension and anxiety including age, smoking, alcohol abuse, obesity, lead, and traffic noise. The specific mechanisms underlying hypertension and anxiety were subsequently discussed, including interleukin (IL)-6 (IL-6), IL-17, reactive oxygen species (ROS), and gut dysbiosis. Increased IL-6, IL-17, and ROS accelerate the development of hypertension and anxiety. Gut dysbiosis leads to hypertension and anxiety by reducing short-chain fatty acids, vitamin D, and 5-hydroxytryptamine (5-HT), and increasing trimethylamine N-oxide (TAMO) and MYC. These shared risk factors and potential mechanisms may provide an effective strategy for treating and preventing hypertension and comorbid anxiety.

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“…Russian Journal of Education and Psychology 2023, Volume 14, Number 6 • http://rjep.ru общественного здоровья представляют психические расстройства [5]. Наиболее распространенной категорией психических расстройств являются тревожные расстройства.…”

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Frequency of Anxiety Disorders in Patients With Arterial Hypertension and Comorbid Diseases

Pronina,

Shimokhina,

Kaskaeva

et al. 2023

RJEP

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Background. Anxiety is more common in patients with hypertension. The comorbid presence anxiety disorders and arterial hypertension complicates medical treatment, may change the severity and/or progression of disease. Objective. To study the influence of comorbid diseases on the development of anxiety disorders in patients with hypertension in outpatient practice. Methods. This observational cohort study employed the State‐Trait Anxiety Inventory (STAI, Spielberger anxiety scale) to assess symptoms of anxiety in several groups with hypertension. The study cohort included 360 patients with isolated hypertension, 172 patients with hypertension in combination with obesity and 72 patients with comorbid hypertension and type 2 diabetes mellitus (DM) Results. A high incidence of anxiety disorders was found in patients with hypertension 98.06% regardless of the presence of obesity 97.09% and type 2 diabetes 98.18%. The incidence and severity of trait anxiety in the examined patients was the lowest in the group of patients with hypertension in combination with obesity 59.65%, compared with patients with isolated hypertension 68.61% p =0.042045 and the group of hypertension in combination with type 2 diabetes 78.18% p=0.012662. According to the severity of the combination of hypertension with obesity, patients with a low 40.35% and an average 41.52% indicator of trait anxiety prevailed, in patients with hypertension in combination with type 2 diabetes, an average 52.73% and a high 25.45% level of anxiety were more often observed (p<0.5). The presence of type 2 diabetes increases the frequency and severity of state anxiety in patients with hypertension. Thus, patients with hypertension in combination with type 2 diabetes were more likely to have a high (50.91%) level of state anxiety, while patients with isolated hypertension were more likely to have low (5.56%) and medium (70.35%) levels of anxiety disorders.

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Balancing anxiety and social desire

Cited by 4 publications

References 14 publications

Shift in Social Media App Usage During COVID-19 Lockdown and Clinical Anxiety Symptoms: Machine Learning–Based Ecological Momentary Assessment Study

Shift in Social Media App Usage During COVID-19 Lockdown and Clinical Anxiety Symptoms: Machine Learning–Based Ecological Momentary Assessment Study

Comorbidity of Anxiety and Hypertension: Common Risk Factors and Potential Mechanisms

Frequency of Anxiety Disorders in Patients With Arterial Hypertension and Comorbid Diseases

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