scholarly journals Do people have differing motivations for participating in a stated-preference study? Results from a latent-class analysis

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Ilene L. Hollin ◽  
Ellen Janssen ◽  
Marcella A. Kelley ◽  
John F. P. Bridges
Keyword(s):  
Latent Class Analysis ◽  
Online Survey ◽  
Latent Class ◽  
Stated Preference ◽  
Well Being ◽  
Discrete Choice Experiments ◽  
Class Analysis ◽  
Study Results ◽  
Aggregate Sample ◽  
The Impact

Abstract Background Researchers and policy makers have long suspected that people have differing, and potentially nefarious, motivations for participating in stated-preference studies such as discrete-choice experiments (DCE). While anecdotes and theories exist on why people participate in surveys, there is a paucity of evidence exploring variation in preferences for participating in stated-preference studies. Methods We used a DCE to estimate preferences for participating in preference research among an online survey panel sample. Preferences for the characteristics of a study to be conducted at a local hospital were assessed across five attributes (validity, relevance, bias, burden, time and payment) and described across three levels using a starring system. A D-efficient experimental design was used to construct three blocks of 12 choice tasks with two profiles each. Respondents were also asked about factors that motivated their choices. Mixed logistic regression was used to analyze the aggregate sample and latent class analysis identified segments of respondents. Results 629 respondents completed the experiment. In aggregate “study validity” was most important. Latent class results identified two segments based on underlying motivations: a quality-focused segment (76%) who focused most on validity, relevance, and bias and a convenience-focused segment (24%) who focused most on reimbursement and time. Quality-focused respondents spent more time completing the survey (p < 0.001) and were more likely to identify data quality (p < 0.01) and societal well-being (p < 0.01) as motivations to participate. Conclusions This information can be used to better understand variability in motivations to participate in stated-preference surveys and the impact of motivations on response quality.

scholarly journals Associative stigma among mental health professionals in Singapore: a cross-sectional study

BMJ Open ◽  
2019 ◽  
Vol 9 (7) ◽  
pp. e028179 ◽  
Author(s):  
Louisa Picco ◽  
Sherilyn Chang ◽  
Edimansyah Abdin ◽  
Boon Yiang Chua ◽  
Qi Yuan ◽  
...  
Keyword(s):  
Mental Health ◽  
Job Satisfaction ◽  
Latent Class Analysis ◽  
Mental Health Professionals ◽  
Health Professionals ◽  
Online Survey ◽  
Latent Class ◽  
Multinomial Logistic Regression ◽  
Class Analysis ◽  
Associative Stigma

Objectives(1) Investigate and explore whether different classes of associative stigma (the process by which a person experiences stigmatisation as a result of an association with another stigmatised person) could be identified using latent class analysis; (2) determine the sociodemographic and employment-related correlates of associative stigma and (3) examine the relationship between associative stigma and job satisfaction, among mental health professionals.DesignCross-sectional online survey.ParticipantsDoctors, nurses and allied health staff, working in Singapore.MethodsStaff (n=462) completed an online survey, which comprised 11 associative stigma items and also captured sociodemographic and job satisfaction-related information. Latent class analysis was used to classify associative stigma on patterns of observed categorical variables. Multinomial logistic regression was used to examine associations between sociodemographic and employment-related factors and the different classes, while multiple linear regression analyses were used to examine the relationship between associative stigma and job satisfaction.ResultsThe latent class analysis revealed that items formed a three-class model where the classes were classified as ‘no/low associative stigma’, ‘moderate associative stigma’ and ‘high associative stigma’. 48.7%, 40.5% and 10.8% of the population comprised no/low, moderate and high associative stigma classes, respectively. Multinomial logistic regression showed that years of service and occupation were significantly associated with moderate associative stigma, while factors associated with high associative stigma were education, ethnicity and occupation. Multiple linear regression analyses revealed that high associative stigma was significantly associated with lower job satisfaction scores.ConclusionAssociative stigma was not uncommon among mental health professionals and was associated with sociodemographic factors and poorer job satisfaction. Associative stigma has received comparatively little attention from empirical researchers and continued efforts to address this understudied yet important construct in conjunction with future efforts to dispel misconceptions related to mental illnesses are needed.

scholarly journals Comorbidity phenotypes and risk of mortality in patients with ischaemic heart disease in the UK

Heart ◽  
2020 ◽  
Vol 106 (11) ◽  
pp. 810-816 ◽  
Author(s):  
Francesca Crowe ◽  
Dawit T Zemedikun ◽  
Kelvin Okoth ◽  
Nicola Jaime Adderley ◽  
Gavin Rudge ◽  
...  
Keyword(s):  
Heart Disease ◽  
Latent Class Analysis ◽  
Ischaemic Heart Disease ◽  
Latent Class ◽  
Health Improvement ◽  
Class Analysis ◽  
Musculoskeletal Conditions ◽  
Risk Of Mortality ◽  
The Uk ◽  
The Impact

ObjectivesThe objective of this study is to use latent class analysis of up to 20 comorbidities in patients with a diagnosis of ischaemic heart disease (IHD) to identify clusters of comorbidities and to examine the associations between these clusters and mortality.MethodsLongitudinal analysis of electronic health records in the health improvement network (THIN), a UK primary care database including 92 186 men and women aged ≥18 years with IHD and a median of 2 (IQR 1–3) comorbidities.ResultsLatent class analysis revealed five clusters with half categorised as a low-burden comorbidity group. After a median follow-up of 3.2 (IQR 1.4–5.8) years, 17 645 patients died. Compared with the low-burden comorbidity group, two groups of patients with a high-burden of comorbidities had the highest adjusted HR for mortality: those with vascular and musculoskeletal conditions, HR 2.38 (95% CI 2.28 to 2.49) and those with respiratory and musculoskeletal conditions, HR 2.62 (95% CI 2.45 to 2.79). Hazards of mortality in two other groups of patients characterised by cardiometabolic and mental health comorbidities were also higher than the low-burden comorbidity group; HR 1.46 (95% CI 1.39 to 1.52) and 1.55 (95% CI 1.46 to 1.64), respectively.ConclusionsThis analysis has identified five distinct comorbidity clusters in patients with IHD that were differentially associated with risk of mortality. These analyses should be replicated in other large datasets, and this may help shape the development of future interventions or health services that take into account the impact of these comorbidity clusters.

scholarly journals Using Latent Class Analysis to Identify Different Risk Patterns for Patients With Masked Hypertension

2021 ◽  
Vol 8 ◽  
Author(s):  
Ming Fu ◽  
Xiangming Hu ◽  
Shixin Yi ◽  
Shuo Sun ◽  
Ying Zhang ◽  
...  
Keyword(s):  
High Risk ◽  
Latent Class Analysis ◽  
Latent Class ◽  
Latent Class Model ◽  
Fasting Blood Glucose ◽  
Low Risk ◽  
Biological Information ◽  
Masked Hypertension ◽  
Class Analysis ◽  
The Impact

Background: There is controversy whether masked hypertension (MHT) requires additional intervention. The aim of this study is to evaluate whether MHT accompanied with high-risk metabolic syndrome (MetS), as the subphenotype, will have a different prognosis from low-risk MetS.Methods: We applied latent class analysis to identify subphenotypes of MHT, using the clinical and biological information collected from High-risk Cardiovascular Factor Screening and Chronic Disease Management Programme. We modeled the data, examined the relationship between subphenotypes and clinical outcomes, and further explored the impact of antihypertensive medication.Results: We included a total of 140 patients with MHT for analysis. The latent class model showed that the two-class (high/low-risk MetS) model was most suitable for MHT classification. The high-risk MetS subphenotype was characterized by larger waist circumference, lower HDL-C, higher fasting blood glucose and triglycerides, and prevalence of diabetes. After four years of follow-up, participants in subphenotype 1 had a higher non-major adverse cardiovascular event (MACE) survival probability than those in subphenotype 2 (P = 0.016). There was no interaction between different subphenotypes and the use of antihypertensive medications affecting the occurrence of MACE.Conclusions: We have identified two subphenotypes in MHT that have different metabolic characteristics and prognosis, which could give a clue to the importance of tracing the clinical correlation between MHT and metabolic risk factors. For patients with MHT and high-risk MetS, antihypertensive therapy may be insufficient.

scholarly journals Assessing depression, anxiety, stress and associated factors during COVID-19 lockdown among adult population in Al Ahsa, Saudi Arabia

2020 ◽  
Vol 8 (1) ◽  
pp. 34
Author(s):  
Kawthar Al Saleh ◽  
Hajer Al Nasser ◽  
Kawthar Al Harabah ◽  
Zainab Al Orefan ◽  
Ola Mousa
Keyword(s):  
Associated Factors ◽  
Online Survey ◽  
Adult Population ◽  
Severe Depression ◽  
Well Being ◽  
Mild Stress ◽  
Mild Depression ◽  
Study Results ◽  
Prevalence Of Depression ◽  
The Impact

Background: Depression, anxiety, and stress are challenging constraints that can greatly affect mental well-being leading to social, occupational, and physical impairments. Lockdown and social distancing have come to be the norms for preventing and controlling COVID-19, however maintaining these preventive measures for months could add to the burden of mental health. This study aims to assess the prevalence of depression, anxiety, and stress during COVID-19 lockdown and to identify associated factors among adult individuals in Al Ahsa, Saudi Arabia.Methods: The study utilized a quantitative descriptive design and data were gathered by means of online survey during the 10th week of lockdown. The survey contained demographic queries and other questions helping in identifying possible factors that may led to the three stressors along with DASS-21. A total of 1874 respondents participated in the study. Results: Results revealed the prevalence of depression was (55.2%), anxiety was (64.5%) and stress was (45%), with degrees ranging from mild to extremely severe. Age was noted to negatively correlate with depression, anxiety and stress. The prevalence of DAS is found to be positively correlated with having a family history of depression or anxiety. Additionally, having chronic illnesses has been noted to have a positive relationship with both anxiety and stress. Taking care of an elderly or sick family member have a positive correlation with anxiety.Conclusions: This study highlights the impact of COVID-19 lockdown on depression, anxiety and stress levels among adult population. The findings of this study revealed mild depression, moderate anxiety and mild stress. In more details, near to third of respondents were having moderate to extremely severe depression level. Participants with moderate to extremely severe anxiety comprised nearly half of the sample and one third of respondents were having moderate to extremely severe stress. 

Stretched Earlobe Piercings Negatively Impact Casual Observer Perceptions

2019 ◽  
Vol 35 (03) ◽  
pp. 299-305
Author(s):  
Nicholas Fung ◽  
Masaru Ishii ◽  
Pauline Huynh ◽  
Michelle Juarez ◽  
Kristin Bater ◽  
...  
Keyword(s):  
Latent Class Analysis ◽  
Web Sites ◽  
Latent Class ◽  
Social Stigma ◽  
Public Access ◽  
Class Analysis ◽  
Bootstrap Analysis ◽  
Casual Observer ◽  
Body Modifications ◽  
The Impact

AbstractPatients with stretched earlobes seek reconstruction to mitigate social stigma. To date, there have been no studies measuring the impact of stretched earlobe piercings on casual observer perceptions. One-hundred seventy-three casual observers were enrolled via public-access web sites. Participants were randomly shown frontal and profile views of six subjects with stretched earlobe piercings and four controls. Participants evaluated photos for first impressions using a survey containing choices regarding personal attributes. Latent class analysis was performed to categorize observer ratings. Analysis of variance (ANOVA), bootstrap analysis, and permutations testing were used to evaluate the relationship between perceived attractiveness, success, and approachability scoring and stretched earlobe status. Latent class analysis categorized responses into three classes: positive, negative, and neutral. Patients with stretched earlobe piercings were significantly less likely to be classified as positive by observers without body modifications (i.e., tattoos and piercings) in comparison to control photos (30.9 and 40.1%, p = 0.007) and more likely to be classified as negative (38.5 and 28.1%, p = 0.002). These changes were abolished when photos were evaluated by observers with body modifications (p > 0.05). ANOVA revealed that stretched earlobe piercings and observer body modification status have a significant effect on rated approachability (F [1,1726] = 4.08, p = 0.04) and successfulness (F[1,1726] = 9.67, p = 0.002; F [1,1726] = 70.33, p < 0.0005). No significance was found for rated attractiveness (p > 0.05). Patients with stretched earlobe piercings were more likely to be classified as having negative affect display and being less approachable and successful compared with controls when evaluated by observers without body modifications. This effect was abolished when photos were evaluated by observers with body modifications. These findings validate patient motivations for seeking stretched earlobe repair.

scholarly journals Smoking Patterns Among Third Level Students: A latent class analysis

2021 ◽  
Author(s):  
Tochukwu Igboanugo ◽  
Anusha Malapati Ramesh
Keyword(s):  
Latent Class Analysis ◽  
Tobacco Use ◽  
Early Onset ◽  
Online Survey ◽  
Latent Class ◽  
Late Onset ◽  
Class Analysis ◽  
Cross Sectional ◽  
Class 1 ◽  
Social Smokers

Abstract Introduction: The psychosocial framework of adolescent transformation period is characterised by risk-taking behaviours such as the use of psychoactive substances like tobacco. Smoking initiated at this stage may lead to a lifetime nicotine-addiction. This study aims to identify and describe a typology of smoking among third level student smokers according to their pattern of smoking and to inform the designing of effective interventions in tobacco use among studentsMethods: Latent class analysis was used to characterise different smoking pattern among 361 third level students in an Irish university. The participants were enrolled in this cross-sectional study by inviting them to complete an online survey.Results: Three groups were identified: (1) Late-onset, Social smokers (n=88, 41.3%). (2) late-onset, light smokers (n = 74, 34.4%). (3) Early-onset, Nicotine addicts (n = 52, 24.3%). The predominantly female Late-onset, Social smokers has a low probability of regular use of tobacco, a low number of lifetime cigarettes smoked and a high probability (83.0%) of initiating smoking in their adulthood. Nearly 100% of them had neither of the parents as smokers. The predominantly male late-onset, light smokers exhibits similar characteristics with the female-dominated class 1 but has consumed more of cigarettes in the lifetime relative to class 1. 33.8% of class 2 smokers had both parents as smokers; 42.0% had mothers and 33.8% reported their father was a smoker. 64.6% of this class reported their parents to smoke in the home and 54.3% initiated smoking in adulthood. Class 3 (Early-onset, Nicotine addicts) dominated by males has a higher probability of regular tobacco use and has smoked the largest number of cigarette in their lifetime compared to classes 1 and 2. The majority (60.0%) of those in this group had initiated smoking as a teenager. 14.9% had both parents as smokers; 10.6% had mothers who smoke and 20.6% reported their father was a smoker. 23.7% of this class reported their parents to smoke in the home.Conclusion: This study reveals the cigarette smoking behaviours among students and can further inform interventions and strategies to achieving a tobacco-free Ireland.

scholarly journals Substance Use and Chemsex in MSM - A Latent Class Analysis

2021 ◽  
pp. 002204262110405
Author(s):  
Anne Deborah Scholz-Hehn ◽  
Sascha Milin ◽  
Bernd Schulte ◽  
Jens Reimer ◽  
Sven Buth ◽  
...  
Keyword(s):  
Substance Use ◽  
Latent Class Analysis ◽  
Online Survey ◽  
Latent Class ◽  
Suicide Attempts ◽  
Class Analysis ◽  
Hiv Seroconversion ◽  
Hiv Serostatus ◽  
Sex With Men ◽  
Stis And Hiv

Engagement in “chemsex” among men who have sex with men is associated with higher rates of STIs and HIV seroconversion as well as an increased mental health burden. MSM were recruited for an anonymous online survey. The survey included questions of substance use, consumption motives, sexual risk behavior, HIV serostatus, and psychological characteristics. A latent class analysis was used to identify subgroups based on the consumed substances. 597 MSM answered the questionnaire. The latent class analysis revealed four different clusters. Most men described the use of amyl nitrite and cannabis ( n = 370). One cluster consumed mainly MDMA, cocaine, and amphetamine ( n = 106) and another cluster used mainly chemsex-related drugs ( n = 43). A fourth cluster reported a range of consumed substances ( n = 78). This cluster reported higher rates of suicide attempts, STIs, and risk behaviors. Substances typically related to chemsex were consumed in a sexualized context to a relevant extent.

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