Perceived stigma among discharged patients of COVID-19 in Wuhan, China: A latent profile analysis

Wu, Yijin; Dai, Zhenwei; Xiao, Weijun; Wang, Hao; Huang, Yiman; Si, Mingyu; Fu, Jiaqi; Chen, Xu; Jia, Mengmeng; Leng, Zhiwei; Cui, Dan; Mak, Winnie W. S.; Su, Xiaoyou

doi:10.3389/fpubh.2023.1111900

Cited by 7 publications

(10 citation statements)

References 79 publications

(78 reference statements)

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“…We used LPA to identify traits of neglect in older adult care workers. Despite the possible arbitrariness of LPA in determining the number of class members due to its semi-subjective properties, its misclassification rate is relatively low, and it can produce more reasonable results compared with those of other classification approaches ( 20 ). We used Mplus v8.3 to identify the number of distinct care worker subtypes, the relative size of each subtype, and the distribution of characteristics within each subtype ( 15 ).…”

Section: Methodsmentioning

confidence: 99%

Profiles in neglect of older adult care workers in a long-term care facility: a latent profile analysis

Yan,

Wang,

Ding

et al. 2024

Front. Public Health

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BackgroundNeglect is a common form of abuse, and long-term care facilities record higher incidences of this abuse. Given that older adult care workers are the main workforce in these facilities, their neglectful behavior requires public health attention. Internal individual characteristics can lead to older adult abuse, and managing workers who abuse older adults may require various methods. This study aimed to identify the profiles of neglect among older adult care workers in long-term care facilities and explore the influencing factors of neglect.MethodsIn this cross-sectional study, a convenience sample of older adult care workers from 15 long-term care facilities in Shandong Province (N = 421) completed a questionnaire on the characteristics associated with neglect. Latent profile analysis was used to identify distinct neglect profiles and promote the understanding of individual characteristics associated with varying levels of neglect. One-way analysis of variance and multivariate logistic regression analyses were used to examine the population characteristic differences.ResultsOlder adult care workers exhibited three neglect profiles, namely, the “low-risk group,” “medium-risk group,” and “high-risk group.” Males, participants with no employment qualification certificate, and those who did not attend regular training represented the majority of those in the “high-risk group.” Participants with a monthly income of more than ¥ 4,000 and nursing 1–2 older adults simultaneously represented the majority of those in the “low-risk group.”ConclusionLong-term care facility administrators should tailor interventions to individual care worker profiles to reduce neglect behaviors and improve care levels.

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Section: Methodsmentioning

confidence: 99%

Profiles in neglect of older adult care workers in a long-term care facility: a latent profile analysis

Yan,

Wang,

Ding

et al. 2024

Front. Public Health

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“…Third, the experiences of participants and families being maligned were de ned as those who answered "yes" to the question "Have you or your family ever been maligned by someone as a result of your infection status?". The variables associated with both outcome variables and exposure variables were used as covariates: sex (male, female, others) 9,27 , age group (20-29, 30-39, 40-49, 50-59, 60-69, 70-79, 80-89, ≥ 90) 9,28-30 , level of education (junior high school, high school, vocational school or junior college, university, and postgraduate school) 9,31,32 , job status (employed and unemployed) 28,31,33 , Cohabitant status (living alone and living together) 9,30 , duration after infection 5,34 , hospitalization status at infection (hospitalized and not hospitalized) 3,35 . Sex was later converted to male and others.…”

Section: Measurementmentioning

confidence: 99%

“…Some studies conducted in Asian countries have identi ed that COVID-19 survivors who perceived stigma, including discrimination, were more likely to experience psychological stress. 9 This included 51.1% of the participants in a Chinese study, 9 and 43.3% of participants in a Japanese study 10 . A systematic review of the general population indicates that discrimination affects psychological distress, especially among disadvantaged groups 11 .…”

Section: Introductionmentioning

confidence: 99%

Difference in the Risk of Discrimination on Psychological Distress Experienced by Early Wave Infected and Late Wave Infected COVID-19 Survivors

Kataoka

Usuda

Narita

et al. 2023

Preprint

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The psychological distress experienced by coronavirus disease of 2019 (COVID-19) survivors after recovery from the illness is amplified by discrimination endured because of their infection status. However, the difference in the risk of facing discrimination and risk of experiencing psychological distress in the early and late waves of the COVID-19 pandemic remain unclear. This study aimed to investigate whether the risk of facing discrimination because of infection status was lower in the early or late waves and whether risk of discrimination on psychological distress was more serious in later, rather than earlier waves. We conducted two online surveys to collect data from survivors divided into two groups. The participants with scores of five or more on the Kessler Psychological Distress Scale were identified as having experienced psychological distress. The participants were identified as having experienced discrimination based on infection status if they had endured being blamed, some type of discrimination, or having themselves or their families maligned. The timing of infection was split into infected during early waves of the pandemic for 2021 participants and infected during later waves of the pandemic for 2022 participants. Modified Poisson regression analyses were performed using experiences of discrimination as dependent variables and timing of infection as independent variables. Modified Poisson regression analyses were further performed using the presence of psychological distress as a dependent variable and experiences of discrimination and timing of infection as dependent variables, in addition to interaction effect of these independent variables. The data of 6,010 participants who were infected in early waves and 5,344 participants who were infected in later waves were analyzed. The risks of being blamed, some forms of discrimination, and participants and their families being maligned were significantly lower in the group who were infected in later waves than those infected in earlier waves. Experiences of discrimination were highly associated with psychological distress in those infected in later waves than those infected in earlier waves, while only being blamed showed a significant association. Risk of discrimination was found to be lower in those infected in later waves, whereas risk of discrimination on psychological distress was shown to be more serious in those infected in later waves. Therefore, we submit that it is more important to support COVID-19 survivors who face discrimination, than it is to attempt to decrease the current discriminatory climate caused by the COVID-19 pandemic.

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“…Additionally, regression mixture model (RMM) is a statistical model that could involve covariates as predictors for LPA, which could help to further determine the influencing factors of the characteristics identified by LPA (Lamont et al., 2016). RMM has been employed in the analysis of stigma in certain populations (Loch et al., 2014; Wu et al., 2023). The specific objectives of current study are to identify the characteristics of anticipated HIV stigma in MSM using LPA; to explore the psychosocial influencing factors of anticipated HIV stigma in MSM using RMM based on the result of LPA; and to determine the cut‐off point of the AHSQ using the receiver operating characteristic (ROC) analysis for further evaluation and application, which may help healthcare professions and policymakers to deal with the anticipated stigma among MSM effectively.…”

Section: Introductionmentioning

confidence: 99%

Characteristics and influencing factors of anticipated HIV stigma among HIV‐negative/unknown MSM in China: A regression mixture model

Dai,

Wu,

Liu

et al. 2024

Brain and Behavior

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BackgroundAnticipated HIV stigma among men who have sex with men's (MSM) has a severe negative effect on their physical and mental health wellbeing and hence requires specific attention. The current study aims to identify the characteristics and the psychosocial influencing factors of anticipated HIV stigma in MSM using regression mixture model (RMM) and to determine the cut‐off point of the seven‐item Anticipated HIV Stigma Questionnaire (AHSQ) using the receiver operating characteristic (ROC) analysis.MethodsA cross‐sectional study was conducted among HIV‐negative/unknown MSM from Blued online platform in China from December 16th, 2020 to March 1st, 2021, enrolling 1394 participants. Data were collected on demographic characteristics, perceived social support, anticipated HIV stigma, depressive symptoms, and HIV knowledge. Latent profile analysis was performed to identify different profiles of anticipated HIV stigma level. Chi‐square test, analysis of variance, and RMM analysis were conducted to explore the influencing factors in different profiles. ROC analyses were carried out to identify the cut‐off value of anticipated stigma.ResultsAmong the participants, three profiles of anticipated stigma were identified: “low anticipated HIV stigma” (12.0%), “moderate anticipated HIV stigma” (52.1%), and “severe anticipated HIV stigma” (35.9%). RMM analysis showed that higher income and higher levels of knowledge were positively associated with moderate anticipated HIV stigma, whereas full‐time job and social support were negatively associated with moderate anticipated HIV stigma; higher income, depressive symptoms, and knowledge were positively associated with severe anticipated HIV stigma, whereas minor ethnicity and social support were negatively associated with severe anticipated HIV stigma. ROC curve of the AHSQ showed that the optimal cut‐off value of ≥16 could indicate positive anticipated HIV stigma.ConclusionThe study focuses on the level of anticipated HIV stigma and its psycho‐socio influencing factors among HIV‐negative/unknown MSM. It provides evidence for implementing relevant psychological interventions to HIV‐negative/unknown MSM.

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Perceived stigma among discharged patients of COVID-19 in Wuhan, China: A latent profile analysis

Cited by 7 publications

References 79 publications

Profiles in neglect of older adult care workers in a long-term care facility: a latent profile analysis

Profiles in neglect of older adult care workers in a long-term care facility: a latent profile analysis

Difference in the Risk of Discrimination on Psychological Distress Experienced by Early Wave Infected and Late Wave Infected COVID-19 Survivors

Characteristics and influencing factors of anticipated HIV stigma among HIV‐negative/unknown MSM in China: A regression mixture model

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