Similarity in symptom patterns of posttraumatic stress among disaster-survivors: a three-step latent profile analysis

Bondjers, Kristina; Willebrand, Mimmie; Arnberg, Filip K.

doi:10.1080/20008198.2018.1546083

Cited by 18 publications

(7 citation statements)

References 39 publications

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“…Lastly, tailored-made interventions for sub-populations become possible to suit their needs better ( Roeser et al., 1998 ). Person-centered analyses have been used in health behavior studies, for example, examining the profiles of outcome expectancies on physical activity ( Li, 2013 ), symptoms pattern of posttraumatic stress disorder ( Bondjers et al., 2018 ), and investing relationship between parent prevention communication profiles and adolescent substance use ( Choi et al., 2017 ).…”

Section: Methodsmentioning

confidence: 99%

Profiling vaccine believers and skeptics in nurses: A latent profile analysis

Leung

Wei

et al. 2022

International Journal of Nursing Studies

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Background A tailored immunization program is deemed more successful in encouraging vaccination. Understanding the profiles of vaccine hesitancy constructs in nurses can help policymakers in devising such programs. Encouraging vaccination in nurses is an important step in building public confidence in the upcoming COVID-19 and influenza vaccination campaigns. Objectives Using a person-centered approach, this study aimed to reveal the profiles of the 5C psychological constructs of vaccine hesitancy (confidence, complacency, constraints, calculation, and collective responsibility) among Hong Kong nurses. Design Cross-sectional online survey. Settings With the promotion of a professional nursing organization, we invited Hong Kong nurses to complete an online survey between mid-March and late April 2020 during the COVID-19 outbreak. Participants 1,193 eligible nurses (mean age = 40.82, SD = 10.49; with 90.0% being female) were included in the analyses. Methods In the online survey, we asked the invited nurses to report their demographics, COVID-19-related work demands (including the supply of personal protective equipment, work stress, and attitudes towards workplace infection control policies), the 5C vaccine hesitancy components, seasonal influenza vaccine uptake history, and the COVID-19 vaccine uptake intention. Latent profile analysis was employed to identify distinct vaccine hesitancy antecedent subgroups. Results Results revealed five profiles, including “believers” (31%; high confidence, collective responsibility; low complacency, constraint), “skeptics” (11%; opposite to the believers), “outsiders” (14%; low calculation, collective responsibility), “contradictors” (4%; high in all 5C constructs), and “middlers” (40%; middle in all 5C constructs). Believers were less educated, reported more long-term illnesses, greater work stress, higher perceived personal protective equipment sufficiency, and stronger trust in government than skeptics. They were older and had higher perceived personal protective equipment sufficiency than middlers. Also, believers were older and had greater work stress than outsiders. From the highest to the lowest on vaccination uptake and intention were believers and contradictors, then middlers and outsiders, and finally skeptics. Conclusion Different immunization programs can be devised based on the vaccine hesitancy profiles and their predictors. Despite both profiles being low in vaccination uptake and intention, our results distinguished between outsiders and skeptics regarding their different levels of information-seeking engagement. The profile structure reveals the possibilities in devising tailored interventions based on their 5C characteristics. The current data could serve as the reference for the identification of individual profile memb...

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Section: Methodsmentioning

confidence: 99%

Profiling vaccine believers and skeptics in nurses: A latent profile analysis

Leung

Wei

et al. 2022

International Journal of Nursing Studies

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“…High prevalence of PTSD among survivors of disaster, as well as risk of exposure to recurrent disaster and trauma due to effects of climate change, may reasonably warrant national and community-level investments in the four types of preemptive adaptations independently identified both in our interviews of diverse community respondents and in NCA4, to bolster community resilience to climate change (Bondjers, Willebrand, & Arnberg, 2018;Lowe et al, 2013;Suar, 2016;van Loey, van de Schoot, & Faber, 2012). Investments into these preemptive adaptations-and timely further study-may serve to identify avenues to mitigate some of the adverse consequences of climate changeassociated disaster events, such as population trauma.…”

Section: Discussionmentioning

confidence: 99%

Community-informed strategies to address trauma and enhance resilience in climate-affected communities.

et al. 2020

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Trauma from natural disasters affects hurricane-impacted populations with accelerating frequency and often recurrently as a result of climate change. Policy guidance to support community resilience has emerged to mitigate trauma to populations facing disaster and climate change risk, but the guidance itself may be met with mistrust due to historic and recurrent government failures to support traumatized, hurricane-affected communities. The aim of the Community Resilience Learning Collaborative and Research Network study is to address trauma and improve community resilience in response to disaster and climate change-related events in South Louisiana. Key informant interviews from 47 communitybased organizations across New Orleans, Baton Rouge, and Coastal Louisiana were analyzed and compared with the Key Messages of the 4th National Climate Assessment to determine efficient strategies for building resilience. Community-based organization interviewees emphasized the importance of organizing community-led coalitions and partnerships, implementing trauma-informed care in schools and health care settings, providing infrastructures and educational resources to navigate housing and financial barriers, and creating dialogue to better understand and accept climate change. The strategies revealed in the key informant interviews will be used to design the agency-level coalitionbuilding interventions of Community Resilience Learning Collaborative and Research Network.

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“…In the absence of an accurate and precise reference standard, LPA has been widely employed to identify the symptom characteristics and to further calculate and determine optimal cut-off points of assessment instruments (54)(55)(56). LPA is a person-centered statistical method that employs latent profile model (LPM) to divide population into multiple profiles, and it focuses on identifying latent subpopulations within a population based on a set of continuous variables (57)(58)(59). Despite the possible arbitrariness for LPA in determining the number of class members due to its semi-subjective properties, the misclassification rate is relatively low, and it could produce more reasonable results compared with some other classification approaches (60)(61)(62).…”

Section: Discussionmentioning

confidence: 99%

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

Dai

Xiao

et al. 2023

Front. Public Health

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BackgroundPerceived stigma has greatly influenced the life quality of the COVID-19 patients who recovered and were discharged (RD hereafter). It is essential to understand COVID-19 stigma of RD and its related risk factors. The current study aims to identify the characteristics of perceived COVID-19 stigma in RD using latent profile analysis (LPA), to explore its psycho-social influencing factors, and to determine the cut-off point of the stigma scale using receiver operating characteristic (ROC) analysis.MethodsA cross-sectional study was conducted among COVID-19 RD in 13 communities in Jianghan District, Wuhan City, Hubei Province, China from June 10 to July 25, 2021, enrolling total 1,297 participants. Data were collected on demographic characteristics, COVID-19 perceived stigma, post-traumatic stress disorder (PTSD), anxiety, depression, sleep disorder, fatigue, resilience, social support, and peace of mind. LPA was performed to identify different profiles of perceived COVID-19 stigma level. Univariate analysis and multinominal logistic regression analysis were conducted to explore the influencing factors in different profiles. ROC analyses was carried out to identify the cut-off value of perceived stigma.ResultsAmong the participants, three profiles of perceived stigma were identified: “low perceived COVID-19 stigma” (12.8%), “moderate perceived COVID-19 stigma” (51.1%), and “severe perceived COVID-19 stigma” (36.1%). Multinominal logistic regression analysis revealed that older age, living with other people, anxiety, and sleep disorder were positively associated with moderate perceived COVID-19 stigma, while higher educational level was negatively associated with moderate perceived COVID-19 stigma. Female, older age, living with other people, anxiety, and sleep disorder were positively associated with severe perceived COVID-19 stigma, while higher educational level, social support, and peace of mind were negatively associated with severe perceived COVID-19 stigma. ROC curve of the Short Version of COVID-19 Stigma Scale (CSS-S) for screening perceived COVID-19 stigma showed that the optimal cut-off value was ≥ 20.ConclusionThe study focuses on the issue of perceived COVID-19 stigma and its psycho-socio influencing factors. It provides evidence for implementing relevant psychological interventions to COVID-19 RD.

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Similarity in symptom patterns of posttraumatic stress among disaster-survivors: a three-step latent profile analysis

Cited by 18 publications

References 39 publications

Profiling vaccine believers and skeptics in nurses: A latent profile analysis

Profiling vaccine believers and skeptics in nurses: A latent profile analysis

Community-informed strategies to address trauma and enhance resilience in climate-affected communities.

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

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