The Prevalence of Body Dysmorphic Disorder in the United States Adult Population

CNS Spectrums ◽  
2008 ◽  
Vol 13 (4) ◽  
pp. 316-322 ◽  
Author(s):  
Lorrin M. Koran ◽  
Elias Abujaoude ◽  
Michael D. Large ◽  
Richard T. Serpe
Keyword(s):  
United States ◽  
Body Dysmorphic Disorder ◽  
Demographic Data ◽  
Adult Population ◽  
The United States ◽  
Lower Percentage ◽  
Clinical Samples ◽  
Computer Assisted ◽  
Type I ◽  
Dsm Iv

ABSTRACTObjective:In clinical samples, body dysmorphic disorder (BDD) is associated with substantial suffering and reduced quality of life. Limited surveys report widely varying prevalence estimates. To better establish the prevalence of BDD, we conducted a United States nationwide prevalence survey.Method:We conducted a random sample national household telephone survey in the spring and summer of 2004 and interviewed 2,513 adults, of whom 2,048 qualified for the BDD-module administration. The computer-assisted, structured interviews, conducted by trained lay interviewers, addressed Diagnostic and Statistical Manual of Mental Disorders, Fourth Edition criteria for BDD, along with information regarding several impulse-control disorders and the respondents' financial and demographic data.Results:The rate of response was 56.3%, which compared favorably with rates in federal national health surveys. The cooperation rate was 97.6%. Respondents included a higher percentage of women and people >55 years of age than in the US adult population, and a lower percentage of Hispanics. The estimated point prevalence of DSM-IV BDD among respondents was 2.4% (49/2,048) (by gender: 2.5% for women, 2.2% for men), exceeding the prevalence of schizophrenia and bipolar disorder type I and about that of generalized anxiety disorder. BDD prevalence decreased after 44 years of age, and a larger proportion of BDD respondents were never married. Of those meeting DSM-IV criteria for BDD, 90% (45/49) met the DSM-IV distress criterion, and 51% (25/49) met the interference-with-functioning criterion.Conclusion:A study using clinically valid interviews is needed to evaluate these results. Such studies could inform treatment by documenting rates of seeking treatment from various sources, suicide attempt rates, and the prevalence of comorbid conditions.

Genotyping Dickeya dianthicola causing potato blackleg and soft rot outbreak associated with inoculum geography in the United States

Plant Disease ◽  
2020 ◽  
Author(s):  
Tongling Ge ◽  
He Jiang ◽  
Steven B Johnson ◽  
Robert Larkin ◽  
Amy O Charkowski ◽  
...  
Keyword(s):  
United States ◽  
Bacterial Pathogen ◽  
Soft Rot ◽  
The United States ◽  
Lower Percentage ◽  
Economic Losses ◽  
Type I ◽  
Type Ii ◽  
Northeastern United States ◽  
Type Iii

An outbreak of blackleg and soft rot of potato, caused primarily by the bacterial pathogen Dickeya dianthicola, has resulted in significant economic losses in the Northeastern United States since 2015. The spread of this seedborne disease is highly associated with seed distribution, therefore the pathogen likely spread with seed tubers. To describe the blackleg epidemic and track inoculum origins, a total of 1183 potato samples were collected from 11 states associated with blackleg outbreak from 2015 to 2019. Of these samples, 39.8% tested positive for D. dianthicola. Seventeen isolates of Dickeya dianthicola were recovered from these samples and the genetic diversity of these isolates was examined. Fingerprinting with BOX-PCR and phylogenetic analysis based on sequences of the 16S rRNA and gapA genes indicated that D. dianthicola isolates were divided into three genotypes, denoted Type I, II, and III. Ninety five percent of samples from Maine were Type I. Type II was found in Maine only in 2015 and 2018. Type II was present throughout the five years in some states at a lower percentage than Type I. Type III was found in Pennsylvania, New Jersey and Massachusetts, but not in Maine. Therefore, Type I appears to be associated with Maine, but Type II appeared to be endemic to the Northeastern United States. The Type II and rarer Type III strain were closer to the D. dianthicola type strain isolated from the United Kingdom. This work provides evidence that the outbreak of blackleg of potato in the Northeastern United States was caused by multiple strains of D. dianthicola. The geographic origins of these strains remain unknown.

scholarly journals Effects of the COVID-19 pandemic on mental health (anxiety and depression symptoms) in the United States of America

2021 ◽  
Vol 69 (4) ◽  
pp. e95387
Author(s):  
Caner Baysan ◽  
Seher Palanbek-Yavaş ◽  
Ayşe Emel-Önal
Keyword(s):  
Mental Health ◽  
United States ◽  
United States Of America ◽  
Demographic Data ◽  
Adult Population ◽  
Average Frequency ◽  
The United States ◽  
Depression Symptoms ◽  
Mean Frequency ◽  
The Mean

Introduction: The COVID-19 pandemic has had a serious mental health impact in the United States of America, as well as all over the world. Objective: To assess some of the effects of the COVID-19 pandemic on the mental health of US adult population, as well as the relationship between the average number of new COVID-19 cases and the average frequency of symptoms of anxiety, of depression, and of anxiety or depression between April 23 and October 26 2020. Materials and methods: Retrospective study. Psychosocial and demographic data were obtained from the online community-based Household Pulse Survey website. Data about the number of new COVID-19 cases detected in USA during the study period were taken from the Our World in Data website. The Spearman’s rank correlation coefficient was used to evaluate the strength of the relationships between the average new cases of COVID-19 during the study period and the average frequency of symptoms of anxiety, of depression, and of anxiety or depression. These correlations were also assessed in a subgroup analysis (gender, age group, education level, and ethnicity). Results: A total of 1,351,911 US adults completed the survey. The average rates of symptoms of depression, of anxiety, and of anxiety or depression were 25.7±1.6%, 31.9±2.0%, and 36.8±2.0%, respectively. The average number of new COVID-19 cases was positively correlated with the mean frequency of symptoms of anxiety, of depression, and of anxiety or depression (r=0.858, r=0.710, and r=0.887; p<0.001). Likewise, positive correlations between the average number of new cases and the mean frequency of anxiety or depressive symptoms were found in the subgroups (r=0.484-0.917). Conclusions: According to our results, the number of new COVID-19 cases detected during the study period in USA was positively correlated with the frequency of anxiety or depression symptoms in the participants, that is, as the number of new cases increased, so did the frequency of the symptoms of these mental disorders.

Can increases in Twitter posts predict increases in cumulative incidence of COVID-19 in the United States? Evidence that social media can inform epidemic surveillance. (Preprint)

2020 ◽  
Author(s):  
Ruoyan Sun ◽  
Henna Budhwani
Keyword(s):  
Public Health ◽  
United States ◽  
Cumulative Incidence ◽  
Hot Spots ◽  
Adult Population ◽  
State Level ◽  
The United States ◽  
Education Attainment ◽  
Public Health Systems ◽  
Per Capita

BACKGROUND Though public health systems are responding rapidly to the COVID-19 pandemic, outcomes from publicly available, crowd-sourced big data may assist in helping to identify hot spots, prioritize equipment allocation and staffing, while also informing health policy related to “shelter in place” and social distancing recommendations. OBJECTIVE To assess if the rising state-level prevalence of COVID-19 related posts on Twitter (tweets) is predictive of state-level cumulative COVID-19 incidence after controlling for socio-economic characteristics. METHODS We identified extracted COVID-19 related tweets from January 21st to March 7th (2020) across all 50 states (N = 7,427,057). Tweets were combined with state-level characteristics and confirmed COVID-19 cases to determine the association between public commentary and cumulative incidence. RESULTS The cumulative incidence of COVID-19 cases varied significantly across states. Ratio of tweet increase (p=0.03), number of physicians per 1,000 population (p=0.01), education attainment (p=0.006), income per capita (p = 0.002), and percentage of adult population (p=0.003) were positively associated with cumulative incidence. Ratio of tweet increase was significantly associated with the logarithmic of cumulative incidence (p=0.06) with a coefficient of 0.26. CONCLUSIONS An increase in the prevalence of state-level tweets was predictive of an increase in COVID-19 diagnoses, providing evidence that Twitter can be a valuable surveillance tool for public health.

The economic burden of vertigo and dizziness in the United States

2020 ◽  
pp. 1-10
Author(s):  
Jeremy S. Ruthberg ◽  
Chandruganesh Rasendran ◽  
Armine Kocharyan ◽  
Sarah E. Mowry ◽  
Todd D. Otteson
Keyword(s):  
United States ◽  
Health Care ◽  
Economic Burden ◽  
Clinical Characteristics ◽  
Care Service ◽  
Adult Population ◽  
Health Care Service ◽  
The United States ◽  
Medical Expenditures ◽  
Limited Information

BACKGROUND: Vertigo and dizziness are extremely common conditions in the adult population and therefore place a significant social and economic burden on both patients and the healthcare system. However, limited information is available for the economic burden of vertigo and dizziness across various health care settings. OBJECTIVE: Estimate the economic burden of vertigo and dizziness, controlling for demographic, socioeconomic, and clinical comorbidities. METHODS: A retrospective analysis of data from the Medical Expenditures Panel Survey (2007–2015) was performed to analyze individuals with vertigo or dizziness from a nationally representative sample of the United States. Participants were included via self-reported data and International Classification of Diseases, 9th Revision Clinical Modification codes. A cross-validated 2-component generalized linear model was utilized to assess vertigo and dizziness expenditures across demographic, socioeconomic and clinical characteristics while controlling for covariates. Costs and utilization across various health care service sectors, including inpatient, outpatient, emergency department, home health, and prescription medications were evaluated. RESULTS: Of 221,273 patients over 18 years, 5,275 (66% female, 34% male) reported either vertigo or dizziness during 2007–2015. More patients with vertigo or dizziness were female, older, non-Hispanic Caucasian, publicly insured, and had significant clinical comorbidities compared to patients without either condition. Furthermore, each of these demographic, socioeconomic, and clinical characteristics lead to significantly elevated costs due to having these conditions for patients. Significantly higher medical expenditures and utilization across various healthcare sectors were associated with vertigo or dizziness (p <  0.001). The mean incremental annual healthcare expenditure directly associated with vertigo or dizziness was $2,658.73 (95% CI: 1868.79, 3385.66) after controlling for socioeconomic and demographic characteristics. Total annual medical expenditures for patients with dizziness or vertigo was $48.1 billion. CONCLUSION: Vertigo and dizziness lead to substantial expenses for patients across various healthcare settings. Determining how to limit costs and improve the delivery of care for these patients is of the utmost importance given the severe morbidity, disruption to daily living, and major socioeconomic burden associated with these conditions.

scholarly journals A Test of Racial Bias in Capital Sentencing

2014 ◽  
Vol 104 (11) ◽  
pp. 3397-3433 ◽  
Author(s):  
Alberto Alesina ◽  
Eliana La Ferrara
Keyword(s):  
United States ◽  
Capital Punishment ◽  
Racial Bias ◽  
The United States ◽  
Type I ◽  
Habeas Corpus ◽  
Trial Courts ◽  
Southern States ◽  
Percentage Points ◽  
White Defendants

We collect a new dataset on capital punishment in the United States and we propose a test of racial bias based upon patterns of sentence reversals. We model the courts as minimizing type I and II errors. If trial courts were unbiased, conditional on defendant's race the error rate should be independent of the victim's race. Instead we uncover 3 and 9 percentage points higher reversal rates in direct appeal and habeas corpus cases, respectively, against minority defendants who killed whites. The pattern for white defendants is opposite but not statistically significant. This bias is confined to Southern states. (JEL J15, K41, K42)

scholarly journals Comparative Genetic Analysis of Magnaporthe oryzae Isolates Causing Gray Leaf Spot of Perennial Ryegrass Turf in the United States and Japan

Plant Disease ◽  
2007 ◽  
Vol 91 (5) ◽  
pp. 517-524 ◽  
Author(s):  
Y. Tosa ◽  
W. Uddin ◽  
G. Viji ◽  
S. Kang ◽  
S. Mayama
Keyword(s):  
United States ◽  
Perennial Ryegrass ◽  
Magnaporthe Oryzae ◽  
Leaf Spot ◽  
Genetic Relationships ◽  
The United States ◽  
Gray Leaf Spot ◽  
Genetic Lineage ◽  
Type I ◽  
Type Ii

Gray leaf spot caused by Magnaporthe oryzae is a serious disease of perennial ryegrass (Lolium perenne) turf in golf course fairways in the United States and Japan. Genetic relationships among M. oryzae isolates from perennial ryegrass (prg) isolates within and between the two countries were examined using the repetitive DNA elements MGR586, Pot2, and MAGGY as DNA fingerprinting probes. In all, 82 isolates of M. oryzae, including 57 prg isolates from the United States collected from 1995 to 2001, 1 annual ryegrass (Lolium multiflorum) isolate from the United States collected in 1972, and 24 prg isolates from Japan collected from 1996 to 1999 were analyzed in this study. Hybridization with the MGR586 probe resulted in approximately 30 DNA fragments in 75 isolates (designated major MGR586 group) and less than 15 fragments in the remaining 7 isolates (designated minor MGR586 group). Both groups were represented among the 24 isolates from Japan. All isolates from the United States, with the exception of one isolate from Maryland, belonged to the major MGR586 group. Some isolates from Japan exhibited MGR586 fingerprints that were identical to several isolates collected in Pennsylvania. Similarly, fingerprinting analysis with the Pot2 probe also indicated the presence of two distinct groups: isolates in the major MGR586 group showed fingerprinting profiles comprising 20 to 25 bands, whereas the isolates in the minor MGR586 group had less than 10 fragments. When MAGGY was used as a probe, two distinct fingerprint types, one exhibiting more than 30 hybridizing bands (type I) and the other with only 2 to 4 bands (type II), were identified. Although isolates of both types were present in the major MGR586 group, only the type II isolates were identified in the minor MGR586 group. The parsimony tree obtained from combined MGR586 and Pot2 data showed that 71 of the 82 isolates belonged to a single lineage, 5 isolates formed four different lineages, and the remaining 6 (from Japan) formed a separate lineage. This study indicates that the predominant groups of M. oryzae associated with the recent outbreaks of gray leaf spot in Japan and the United States belong to the same genetic lineage.

Engaging Your Feelings: Emotion Contagion and Public Engagement on Nonprofit Organizations’ Facebook Sites

2021 ◽  
pp. 089976402110573
Author(s):  
Zongchao Cathy Li ◽  
Yi Grace Ji ◽  
Weiting Tao ◽  
Zifei Fay Chen
Keyword(s):  
United States ◽  
Nonprofit Organizations ◽  
Sentiment Analysis ◽  
Public Engagement ◽  
Negative Emotions ◽  
The United States ◽  
Computer Assisted ◽  
Diffusion Effect ◽  
User Comments ◽  
Emotion Contagion

This study investigated nonprofit organizations’ (NPOs) emotion-based content strategies on Facebook and publics’ engagement behaviors. More than 52,000 Facebook posts and corresponding comments were collected from the top 100 NPOs in the United States. The emotion-carrying status and valence of the messages were analyzed with computer-assisted sentiment analysis procedures. Results confirmed emotion-carrying posts and posts with negative emotions led to increased public engagement as indexed by the volumes of likes, shares, and comments. The presence of emotions and valence of the NPOs’ posts were also found to have a diffusion effect on user comments.

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