Faculty Opinions recommendation of Identification of three hidradenitis suppurativa phenotypes: latent class analysis of a cross-sectional study.

2014 ◽  
Author(s):  
Iltefat Hamzavi ◽  
Melissa Williams
Keyword(s):  
Latent Class Analysis ◽  
Hidradenitis Suppurativa ◽  
Latent Class ◽  
Cross Sectional Study ◽  
Class Analysis ◽  
Sectional Study ◽  
Cross Sectional

scholarly journals Identification of Three Hidradenitis Suppurativa Phenotypes: Latent Class Analysis of a Cross-Sectional Study

2013 ◽  
Vol 133 (6) ◽  
pp. 1506-1511 ◽  
Author(s):  
Florence Canoui-Poitrine ◽  
Aurélie Le Thuaut ◽  
Jean E. Revuz ◽  
Cédric Viallette ◽  
Germaine Gabison ◽  
...  
Keyword(s):  
Latent Class Analysis ◽  
Hidradenitis Suppurativa ◽  
Latent Class ◽  
Cross Sectional Study ◽  
Class Analysis ◽  
Sectional Study ◽  
Cross Sectional

scholarly journals Which are the Nutritional Supplements Used by Beach-Volleyball Athletes? A Cross-Sectional Study at the Italian National Championship

Sports ◽  
2020 ◽  
Vol 8 (3) ◽  
pp. 31 ◽  
Author(s):  
Stefano Amatori ◽  
Davide Sisti ◽  
Fabrizio Perroni ◽  
Samuel Impey ◽  
Michela Lantignotti ◽  
...  
Keyword(s):  
Latent Class Analysis ◽  
Latent Class ◽  
Nutritional Supplements ◽  
Cross Sectional Study ◽  
Class Analysis ◽  
Sports Performance ◽  
Sectional Study ◽  
Pragmatic Approach ◽  
Cross Sectional ◽  
The Face

Beach volleyball is an intermittent team sport played under high temperature and humidity. Given that some nutritional supplements can enhance sports performance, this study aimed to evaluate the quantity and the heterogeneity of the nutritional supplementation practices of amateur (n = 69) and professional (n = 19) beach volley athletes competing in the Italian National Championship; an online form was used to collect data about the supplementation habits. The latent class analysis was used to find sub-groups characterised by different habits regarding supplements consumption. The most frequently used supplements (more than once a week) are vitamins B and C (39.2% of athletes), protein (46.8%), and caffeine (36.9%). The latent class analysis revealed three different sub-groups of athletes: the first class (56.7%) included athletes who were used to take very few supplements, the second class (17.0%) was characterised by higher consumption of supplements and the third class (26.2%) was in the middle between the others two. Groups were characterised not only by the quantity but also by the category of supplements used. Our results highlighted a high heterogeneity in supplementation habits. A pragmatic approach to supplements and sports foods is needed in the face of the evidence that some products can usefully contribute to enhancing performance.

scholarly journals Violence against Congolese refugee women in Rwanda and mental health: a cross-sectional study using latent class analysis

BMJ Open ◽  
2015 ◽  
Vol 5 (4) ◽  
pp. e006299-e006299 ◽  
Author(s):  
H. L. Sipsma ◽  
K. L. Falb ◽  
T. Willie ◽  
E. H. Bradley ◽  
L. Bienkowski ◽  
...  
Keyword(s):  
Mental Health ◽  
Latent Class Analysis ◽  
Latent Class ◽  
Cross Sectional Study ◽  
Class Analysis ◽  
Sectional Study ◽  
Cross Sectional ◽  
Refugee Women

scholarly journals Symptoms-Based Phenotypes Among Women With Dysmenorrhea: A Latent Class Analysis

2017 ◽  
Vol 40 (10) ◽  
pp. 1452-1468 ◽  
Author(s):  
Chen X. Chen ◽  
Susan Ofner ◽  
Giorgos Bakoyannis ◽  
Kristine L. Kwekkeboom ◽  
Janet S. Carpenter
Keyword(s):  
Chronic Pain ◽  
Latent Class Analysis ◽  
Latent Class ◽  
Gastrointestinal Symptoms ◽  
Cross Sectional Study ◽  
Class Analysis ◽  
Cross Sectional ◽  
Race Ethnicity ◽  
Treatment Responses ◽  
Chronic Pain Conditions

Dysmenorrhea is highly prevalent and may increase women’s risk for developing other chronic pain conditions. Although it is highly variable, symptom-based dysmenorrhea phenotypes have not been identified. The aims of the study were to identify symptom-based dysmenorrhea phenotypes and examine their relationships with demographic and clinical characteristics. In a cross-sectional study, 762 women with dysmenorrhea rated severity of 14 dysmenorrhea-related symptoms. Using latent class analysis, we identified three distinctive phenotypes. Women in the “mild localized pain” phenotype ( n = 202, 26.51%) had mild abdominal cramps and dull abdominal pain/discomfort. Women in the “severe localized pain” phenotype ( n = 412, 54.07%) had severe abdominal cramps. Women in the “multiple severe symptoms” phenotype ( n = 148, 19.42%) had severe pain at multiple locations and multiple gastrointestinal symptoms. Race, ethnicity, age, and comorbid chronic pain conditions were significantly associated with phenotypes. Identification of these symptom-based phenotypes provides a foundation for research examining genotype–phenotype associations, etiologic mechanisms, and/or variability in treatment responses.

scholarly journals Identifying co-occurrence and clustering of chronic diseases using latent class analysis: cross-sectional findings from SAGE South Africa Wave 2

BMJ Open ◽  
2021 ◽  
Vol 11 (1) ◽  
pp. e041604
Author(s):  
Glory Chidumwa ◽  
Innocent Maposa ◽  
Barbara Corso ◽  
Nadia Minicuci ◽  
Paul Kowal ◽  
...  
Keyword(s):  
South Africa ◽  
Latent Class Analysis ◽  
South African ◽  
Latent Class ◽  
Cross Sectional Study ◽  
Health Conditions ◽  
Relative Risk Ratio ◽  
Adult Health ◽  
Class Analysis ◽  
Cross Sectional

ObjectivesTo classify South African adults with chronic health conditions for multimorbidity (MM) risk, and to determine sociodemographic, anthropometric and behavioural factors associated with identified patterns of MM, using data from the WHO’s Study on global AGEing and adult health South Africa Wave 2.DesignNationally representative (for ≥50-year-old adults) cross-sectional study.SettingAdults in South Africa between 2014 and 2015.Participants1967 individuals (men: 623 and women: 1344) aged ≥45 years for whom data on all seven health conditions and socioeconomic, demographic, behavioural, and anthropological information were available.MeasuresMM latent classes.ResultsThe prevalence of MM (coexistence of two or more non-communicable diseases (NCDs)) was 21%. The latent class analysis identified three groups namely: minimal MM risk (83%), concordant (hypertension and diabetes) MM (11%) and discordant (angina, asthma, chronic lung disease, arthritis and depression) MM (6%). Using the minimal MM risk group as the reference, female (relative risk ratio (RRR)=4.57; 95% CI (1.64 to 12.75); p =0.004) and older (RRR=1.08; 95% CI (1.04 to 1.12); p<0.001) participants were more likely to belong to the concordant MM group, while tobacco users (RRR=8.41; 95% CI (1.93 to 36.69); p=0.005) and older (RRR=1.09; 95% CI (1.03 to 1.15); p=0.002) participants had a high likelihood of belonging to the discordant MM group.ConclusionNCDs with similar pathophysiological risk profiles tend to cluster together in older people. Risk factors for MM in South African adults include sex, age and tobacco use.

scholarly journals Discrimination based on sexual orientation against MSM in Brazil: a latent class analysis

2019 ◽  
Vol 22 (suppl 1) ◽  
Author(s):  
Laio Magno ◽  
Luís Augusto V. da Silva ◽  
Mark Drew Crosland Guimarães ◽  
Maria Amélia de Sousa Mascena Veras ◽  
Luiz Fábio Alves de Deus ◽  
...  
Keyword(s):  
Sexual Orientation ◽  
Latent Class Analysis ◽  
Risky Sexual Behavior ◽  
Skin Color ◽  
Latent Class ◽  
Cross Sectional Study ◽  
Class Analysis ◽  
Cross Sectional ◽  
Successive Sampling ◽  
Sex With Men

ABSTRACT Introduction: Discrimination based on sexual orientation can influence vulnerability to HIV, increasing exposure to risky sexual behavior among men who have sex with men (MSM). Objectives: To analyze data using latent class analysis (LCA) to identify groups of individuals with specific patterns of discrimination based on sexual orientation (DSO). Methods: Cross-sectional study using respondent-driven sampling in 12 Brazilian cities in 2016. LCA was used to characterize discrimination among MSM based on 13 variables in the survey questionnaire. The proportions of men reporting DSO and other variables of interest were estimated using Gile’s Successive Sampling estimator. Results: Most MSM were young, single, had a religion, had a high school or college degree, black or brown skin color, and socioeconomic status classified as average. More than half of the participants reported that they had been discriminated against during the last 12 months due to their sexual orientation (65%), more than a third said they had felt afraid of walking in public places during the past 12 months, and about one-fifth of participants reported having been victims of physical or sexual assault due to DSO. DSO was classified into four latent classes: “very high”, “high”, “moderate” and “low”, with estimates of 2.2%, 16.4%, 35.1%, and 46.19%, respectively. Conclusion: We observed a high proportion of discrimination against MSM in this study. The use of LCA differentiated parsimoniously classes of discrimination.

scholarly journals Subgrouping High School Students for Substance Abuse–Related Behaviors: A Latent Class Analysis

2016 ◽  
Vol 11 (4) ◽  
pp. 1200-1207 ◽  
Author(s):  
Fariba Khayyati ◽  
Asghar Mohammadpoorasl ◽  
Hamid Allahverdipour ◽  
Mohammad AsghariJafarabadi ◽  
Kamiar Kouzekanani
Keyword(s):  
High School ◽  
High School Students ◽  
High Risk ◽  
Latent Class Analysis ◽  
Latent Class ◽  
Cross Sectional Study ◽  
Class Analysis ◽  
School Students ◽  
Cross Sectional ◽  
East Azerbaijan

The aim of the current study was to characterize the prevalence of latent groups in terms of smoking, hookah, and alcohol in a sample of Iranian high school students. In this cross-sectional study, 4,422 high school students were assessed in East Azerbaijan Province, Iran. Latent class analysis was applied to determine the subgroups and prevalence of each class using the procLCA in SAS 9.2 software. The prevalence of hookah smoking was the highest among the other substances and had the greatest abuse among males than females. Nearly 86%, 9.5%, and 4.6% of the participants were low risk, tobacco experimenter, and high risk, respectively. The odds ratio indices of membership in each class, compared with the first class, associated with the independent variables. A fair number of students, males in particular, were identified as high risk-takers. Considering the simultaneous incidence of multiple high-risk behaviors, interventions must cover multiple aspects of the issue at the same time.

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