OBJECTIVE: Anxious depression is a prevalent characteristic observed in Asian psychiatric patients diagnosed with major depressive disorder (MDD). This study aims to investigate the prevalence and clinical presentation of anxious depression in Taiwanese individuals diagnosed with MDD.
METHODS: We recruited psychiatric outpatients aged over 18 who had been diagnosed with MDD through clinical interviews. This recruitment took place at five hospitals located in northern Taiwan. We gathered baseline clinical and demographic information from the participants. Anxious depression was identified using a threshold of an anxiety/somatization factor score ≥7 on the 21-item Hamilton Rating Scale for Depression (HAM-D).
RESULTS: In our study of 399 patients (84.21% female), 64.16% met the criteria for anxious depression. They tended to be older, married, less educated, with more children, and an older age of onset. Anxious depression patients had higher HAM-D and Clinical Global Impression-Severity scale score, more panic disorder (without agoraphobia), and exhibited symptoms like agitation, irritability, concentration difficulties, psychological and somatic anxiety, somatic complaints, hypochondriasis, weight loss, and increased insight. Surprisingly, their suicide rates did not significantly differ from non-anxious depression patients. This highlights the importance of recognizing and addressing these unique characteristics.
CONCLUSIONS: Our study findings unveiled that the prevalence of anxious depression among Taiwanese outpatients diagnosed with MDD was lower compared to inpatients but substantially higher than the reported rates in European countries and the United States. Furthermore, patients with anxious depression exhibited a greater occurrence of somatic symptoms.

BACKGROUND: Mental health has been impacted by COVID-19 throughout the United States and beyond. The mental health and well-being were further affected with excessive substance use during the pandemic. The aim of this research was to explore how the COVID-19 affects the mental health of the young adults (18-24 years) in the South Jersey area. We also examined the association between mental health symptoms in young adults and substance use during the first and second year of the pandemic.
METHODS: A cross-sectional survey was conducted with (n = 711) 527 participants that included young adults (18-24 years old) across university campus in south jersey and in the community cohorts. Multinomial regression analysis and Chi-squared test were used to explore the association between mental symptoms and substance use. Data were analyzed using Microsoft Excel Spreadsheet for descriptive statistics and Python 3.0 scikit-learn package.
RESULTS: The study showed that \"Lonely\" and \"Hopeless\" were the top two mental health symptoms. It was observed that the symptoms of \"Lonely\" and \"Hopeless\" increased for both males and females. In general, males seemed to be affected more than females in this study for mental health symptoms. For substance use, \"Nervous\" and \"Smoking\" showed positive correlation in 2020 and \"Hopeless\" and \"Alcohol\" were positively correlated in 2021.
CONCLUSIONS: Young adults\' mental health symptoms and substance use has been proven to be affected through the pandemic and this research results even though localized will assist the community and educational institutions to plan better support to assist young adults with better health and wellness initiatives.

Social relationships are constructed by and through the relational communication that people exchange. Relational messages are implicit nonverbal and verbal messages that signal how people regard one another and define their interpersonal relationships-equal or unequal, affectionate or hostile, inclusive or exclusive, similar or dissimilar, and so forth. Such signals can be measured automatically by the latest machine learning software tools and combined into meaningful factors that represent the socioemotional expressions that constitute relational messages between people. Relational messages operate continuously on a parallel track with verbal communication, implicitly telling interactants the current state of their relationship and how to interpret the verbal messages being exchanged. We report an investigation that explored how group members signal these implicit messages through multimodal behaviors measured by sensor data and linked to the socioemotional cognitions interpreted as relational messages. By use of a modified Brunswikian lens model, we predicted perceived relational messages of dominance, affection, involvement, composure, similarity and trust from automatically measured kinesic, vocalic and linguistic indicators. The relational messages in turn predicted the veracity of group members. The Brunswikian Lens Model offers a way to connect objective behaviors exhibited by social actors to the emotions and cognitions being perceived by other interactants and linking those perceptions to social outcomes. This method can be used to ascertain what behaviors and/or perceptions are associated with judgments of an actor\'s veracity. Computerized measurements of behaviors and perceptions can replace manual measurements, significantly expediting analysis and drilling down to micro-level measurement in a previously unavailable manner.

Nonverbal signals color the meanings of interpersonal relationships. Humans rely on facial, head, postural, and vocal signals to express relational messages along continua. Three of relevance are dominance-submission, composure-nervousness and trust-distrust. Machine learning and new automated analysis tools are making possible a deeper understanding of the dynamics of relational communication. These are explored in the context of group interactions during a game entailing deception. The \"messiness\" of studying communication under naturalistic conditions creates many measurement and design obstacles that are discussed here. Possibilities for their mitigation are considered.

The global coronavirus disease 2019 (COVID-19) pandemic is wreaking havoc on society. Bariatric patients are more prone to severe infection due to their high body mass index (BMI) and are more vulnerable to the effects of isolation, such as depression or disruption of their health habits.
To quantify the impact of self-quarantine on bariatric patients and self-quarantine\'s relationship with weight gain.
Academic hospital, United States.
A 30-item survey examining several known contributors to weight regain was distributed among the postoperative bariatric patients of our clinic. Changes in eating habits, exercise, depression, social support, loneliness, and anxiety were studied, among others.
A total of 208 patients completed the survey (29.3% response rate). A large percentage of patients reported increases in their depression (44.2%), loneliness (36.2%), nervousness (54.7%), snacking (62.6%), loss of control when eating (48.2%), and binge eating (19.5%) and decreases in their social support (23.2%), healthy food eating (45.5%), and activity (55.2%). Difficulty in accessing vitamins was reported by 13%. Patients more than 18 months out of surgery regained more than 2 kg during an average of 47 days. Risk factors for weight regain were found to be loss of control when eating, increases in snacking and binge eating, reduced consumption of healthy food, and reduced physical activity.
Bariatric patients are negatively affected by the COVID-19 pandemic and subsequent social isolation on many levels. This patient population is vulnerable to crisis situations; thus, additional intervention is needed to address behaviors that lead to weight regain.

In a time of global uncertainty, understanding the psychological health of the American public is imperative. There are no current data on anxiety trends among adults in the United States (US) over time. This study aimed to investigate prevalence of anxiety among US adults from 2008 to 2018.
Data from the National Survey on Drug Use and Health (NSDUH), which is an annual, cross-sectional survey on substance use and mental health in the US, were analyzed in 2020. Prevalence of past-month anxiety was estimated among those ages ≥18, by survey year from 2008 to 2018. Time trends were tested using logistic regression.
Anxiety increased from 5.12% in 2008 to 6.68% in 2018 (p < 0.0001) among adult Americans. Stratification by age revealed the most notable increase from 7.97% to 14.66% among respondents 18-25 years old (p < 0.001), which was a more rapid increase than among 26-34 and 35-49 year olds (differential time trend p < 0.001). Anxiety did not significantly increase among those ages 50 and older. Anxiety increased more rapidly among those never married and with some college education, relative to their respective counterparts. Apart from age, marital status and education, anxiety increased consistently among sociodemographic groups.
Anxiety is increasing among adults under age 50 in the US, with more rapid increase among young adults. To prepare for a healthier adulthood and given direct and indirect (via 24/7 media) exposure to anxiety-provoking world events, prophylactic measures that can bolster healthy coping responses and/or treatment seeking seem warranted on a broad scale.

Coronavirus pandemics causes systemic and mainly pulmonary changes. We assessed the prevalence of generalized anxiety disorder (GAD) in pandemic survivors and the general population. Papers indexed by MEDLINE/PubMed, The Cochrane, Embase, Lilacs, Scielo, Psycoinfo, and Pepsic databases were searched to April 2020, using GAD and Coronavirus (CoV) infection as keywords. Sixteen studies with 25,779 participants in eight countries were included. A 46% pooled prevalence of anxiety symptoms (95% CI 33.9-58.2%) was found with significant evidence of between-study heterogeneity (Q = 154953, I2 = 99.99%, p < 0.001). Age and sex were not found to be significant moderators for anxiety symptoms. Intervention programs for anxiety symptoms are highly recommended.

Cannabis use is more common among adults with anxiety. Cannabis legalization is occurring rapidly across the United States (US) and individuals may use cannabis to cope with anxiety. This study investigated whether cannabis use across the US has changed differentially by anxiety status and by state cannabis legalization for medical (MML) and/or recreational use (RML).
Public and restricted-use data from the 2004 to 2017 National Survey on Drug Use and Health, an annual cross-sectional, nationally representative survey of US individuals, were analyzed. The prevalence of past-30-day cannabis use by anxiety status in 2017 was estimated among respondents ages ≥18 (n = 42,554) by sociodemographics and state-level cannabis law. Weighted logistic regressions with continuous year as the predictor for the linear time trend were used to examine the time trends in cannabis use by anxiety and cannabis law status from 2004 to 2017 (total combined analytic sample n = 398,967).
Cannabis use was consistently two to three times higher among those with high anxiety compared to those with some or no anxiety and was higher in states with RML compared to MML or no MML/RML. Cannabis use has increased over time among those with and without anxiety overall, in MML states, and in states without MML/RML; with a faster increase in cannabis use among those with high anxiety compared to lower anxiety in states with MML.
Cannabis use is increasing among American adults overall, yet is disproportionately common among Americans with anxiety especially among those residing in states where cannabis has been legalized.

In general, anxiety or nervousness in pregnant women increases the risk of dystocia. Pregnant women are easily susceptible to anxiousness or nervousness. To support a safe and healthy birthing process, childbirth educators, other health-care professionals, and pregnant women require an in-depth understanding about the disruptive effects of anxiety or nervousness on birth progress. Anxiety and nervousness are difficult to quantify and may be influenced by culture. Therefore, reports comparing anxiety or nervousness with dystocia must include various biases. It is difficult to find this issue by medical research. Here, we discuss links between anxiety or nervousness and disturbance in the progress of birth based on the adaptive standpoint of human behavioral evolutionary biology.

Aloysia triphylla (Verbenaceae) is an aromatic medicinal plant, and it is used for the treatment of \"nervous\" problems as, \"sadness\" and \"nervousness\". While, there are no reports about its pharmacological activity in animal models. The objective of this work was to evaluate the anxiolytic effect of the extracts and fractions of this species and to measure the interaction of the most active fraction with serotonergic, glutamatergic and GABAergic drugs. An elevated plus maze test was carried ought where the methanol (AtM), dicloromethane (AtD) and hexanic (AtH) extracts presented anxiolytic activity in mice when exposed to the test. Also, different fractions obtained from the AtD were evaluated (AtF1, AtF2 and AtF3, 15mg/kg), and showed that fraction AtF1 possessed the anxiolytic activity, in the same model. Then, AtF1 was co-administered with different drugs, which act on GABAergic (bicuculline, picrotoxin, pentylenetetrazol, baclofen and phaclofen), or serotononinergic (DOI, 8-OH-DPAT, WAY 100635 and ketanserine) or glutamatergic (NMDA, MPEP and MK-801) systems. The anxiolytic activity of AtF1 was modified by GABAergic and serotoninergic drugs. Chemical analysis of this fraction by using GC-MS, showed that it contains hexadecanoic acid, hexadecanoic acid methyl ester, octadecanoic acid methyl ester, eicosanoic acid methyl ester, vitamin E, α-amiryn, campesterol, sitosterol, stigmastan-2,22, dien-3-ol (4) and stigmasta 5, 24 (28) dien-3-ol.