Grief Experience Patterns Among Older Adults in Rural China: A Latent Profile Analysis

2019 ◽  
pp. 003022281987040
Author(s):  
Haimin Pan ◽  
Rong Hu
Keyword(s):  
Rural Areas ◽  
Meaning In Life ◽  
Latent Profile Analysis ◽  
Profile Analysis ◽  
Rural China ◽  
Analysis Model ◽  
Multinomial Regression ◽  
Chi Square ◽  
Chi Square Analysis ◽  
Latent Profile

The present work sought to explore grief patterns among Chinese older people in rural areas as well as the factors influencing the diverse bereavement results. Participants were 352 older residents who lived in rural areas in China. Latent profile analysis was used to identify subtypes of class membership in combing complicated grief, depression, anxiety, and meaning in life. One-way analysis of variance, chi-square analysis, and multinomial regression analysis were performed together to examine the predictor best distinguishing between classes. The latent profile analysis model best fitting the data was a three-class solution comprised of adaptive ( n = 235; 66.8%), moderate maladaptive ( n = 83; 23.6%), and severe maladaptive groups ( n = 34; 9.7%). Compared to the severe maladaptive and moderate maladaptive groups, participants in the adaptive group had better physical functioning. Participants in the moderate maladaptive group had longer bereavement duration than those in the severe maladaptive group. Future replication is desirable for validating these subgroups.

scholarly journals GRIEF EXPERIENCE PATTERNS AMONG OLDER ADULTS IN RURAL CHINA: A LATENT PROFILE ANALYSIS

2019 ◽  
Vol 3 (Supplement_1) ◽  
pp. S630-S630
Author(s):  
Haimin Pan
Keyword(s):  
Higher Education ◽  
Older Adults ◽  
Physical Functioning ◽  
Rural Areas ◽  
Meaning In Life ◽  
Latent Profile Analysis ◽  
Meaning Making ◽  
Profile Analysis ◽  
Rural China ◽  
Latent Profile

Abstract Grief experiences among older adults in China are understudied, though a variety of negative bereavement outcomes have been delineated. The present work sought to explore grief patterns among Chinese older people in rural areas, as well as the factors influencing the bereavement results. Participants were 352 older residents who responded to a face-to-face interview and lived in rural areas in Zhejiang Province of China. Latent profile analysis (LPA) was used to identify subtypes of class membership in combing complicated grief (CG), depression, anxiety, and meaning in life. Afterwards, these subgroups were compared on demographic characteristics and meaning making variable. The LPA model best fitting the data was a three-class solution comprised of “adaptive” (n=235; 66.8% of the sample), “moderate maladaptive” (n=83; 23.6% of the sample), and “severe maladaptive” groups (n=34; 9.7% of the sample). Compared to the “severe maladaptive” group, participants in the “adaptive” group had better physical functioning, higher education and incomes levels, and less meaning making engagement, while participants in the “moderate maladaptive” group had longer bereavement duration, better physical functioning, and less meaning making activities. Relative to the “moderate maladaptive” group, participants who were adaptive to the loss possessed longer bereavement duration better physical functioning, higher education and incomes levels, and less meaning making engagement. Findings suggest three distinct patterns of bereavement outcomes among Chinese older adults. Multiple factors impacting the results were taken into consideration. Future replication is necessary to validate these subgroups, and professional services should be provided to bereaved older Chinese in need.

Latent Profile Analysis of Left-behind Adolescents’ Psychosocial Adaptation in Rural China

2019 ◽  
Vol 48 (6) ◽  
pp. 1146-1160 ◽  
Author(s):  
Jingxin Zhao ◽  
Qianyu Li ◽  
Liwei Wang ◽  
Lingyu Lin ◽  
Wenxin Zhang
Keyword(s):  
Latent Profile Analysis ◽  
Profile Analysis ◽  
Rural China ◽  
Psychosocial Adaptation ◽  
Left Behind ◽  
Latent Profile

scholarly journals Patterns of religiosity and spirituality of psychiatrists in Brazil and the implications for clinical practice: a latent profile analysis

2020 ◽  
Vol 20 (1) ◽  
Author(s):  
Maria Cecilia Menegatti-Chequini ◽  
Alexandre A. Loch ◽  
Frederico C. Leão ◽  
Mario F. P. Peres ◽  
Homero Vallada
Keyword(s):  
Clinical Practice ◽  
Professional Training ◽  
Latent Profile Analysis ◽  
Profile Analysis ◽  
Academic Education ◽  
Religion And Spirituality ◽  
Chi Square ◽  
Lack Of Information ◽  
Religiosity And Spirituality ◽  
Latent Profile

Abstract Background Although there is consensus, in psychiatry, over the inclusion of religious and spiritual aspects when evaluating and treating the patient, investigation of these dimensions is rare. There is evidence as to the relationship between psychiatrists’ religious/spiritual beliefs and their willingness to discuss a patient’s religion and spirituality (R/S). Due to the lack of information about how psychiatrists in Brazil deal with R/S in patient care, the aim of the present study is to analyze the religious/spiritual profile of these professionals and to ascertain its influence on attitudes and behavior in clinical practice. Methods Five hundred and ninety-two psychiatrists from Brazil answered a questionnaire about R/S in clinical practice. The latent profile analysis was used to search for differences of religious/spiritual profiles. The ANOVA and Pearson’s chi-square tests were employed to identify any correlation between clinical opinion and behaviors according to the different profiles. Results Two religious/spiritual profiles were identified (entropy value > 0,96): the so called “less religious” group (n = 245), comprised predominantly by men, professionally more experienced, with a higher level of academic education (Master or PhD degrees) and were the ones who least enquired about their patients’ R/S; and the “more religious” psychiatrists (n = 347) those who had higher consideration for R/S on health, and who more often addressed R/S with their patients and therefore usually ascribed importance to include R/S in their professional training. Conclusion The latent profile analysis produced two distinct classes between the Brazilian psychiatrists according to their R/S views: the more religious professionals, who investigate the patient’s R/S in a more detailed manner, and the less religious, who tend to disregard this aspect.

scholarly journals Capturing cognitive and behavioral variability among individuals with Down syndrome: a latent profile analysis

2021 ◽  
Vol 13 (1) ◽  
Author(s):  
Marie Moore Channell ◽  
◽  
Laura J. Mattie ◽  
Debra R. Hamilton ◽  
George T. Capone ◽  
...  
Keyword(s):  
Down Syndrome ◽  
Adaptive Behavior ◽  
Latent Profile Analysis ◽  
Profile Analysis ◽  
Autism Spectrum ◽  
Maladaptive Behavior ◽  
Behavioral Variability ◽  
Multinomial Regression ◽  
Autism Symptomatology ◽  
Latent Profile

Abstract Background There is a high degree of inter- and intra-individual variability observed within the phenotype of Down syndrome. The Down Syndrome Cognition Project was formed to capture this variability by developing a large nationwide database of cognitive, behavioral, health, and genetic information on individuals with Down syndrome, ages 6–25 years. The current study used the Down Syndrome Cognition Project database to characterize cognitive and behavioral variability among individuals with Down syndrome. Methods Latent profile analysis was used to identify classes across a sample of 314 participants based on their cognition (IQ and executive functioning), adaptive and maladaptive behavior, and autism spectrum disorder symptomatology. A multivariate multinomial regression model simultaneously examined demographic correlates of class. Results Results supported a 3-class model. Each class demonstrated a unique profile across the subdomains of cognition and behavior. The “normative” class was the largest (n = 153, 48%) and displayed a relatively consistent profile of cognition and adaptive behavior, with low rates of maladaptive behavior and autism symptomatology. The “cognitive” class (n = 109, 35%) displayed low cognitive scores and adaptive behavior and more autism symptomatology, but with low rates of maladaptive behavior. The “behavioral” class, the smallest group (n = 52, 17%), demonstrated higher rates of maladaptive behavior and autism symptomatology, but with cognition levels similar to the “normative” class; their adaptive behavior scores fell in between the other two classes. Household income and sex were the only demographic variables to differ among classes. Conclusions These findings highlight the importance of subtyping the cognitive and behavioral phenotype among individuals with Down syndrome to identify more homogeneous classes for future intervention and etiologic studies. Results also demonstrate the feasibility of using latent profile analysis to distinguish subtypes in this population. Limitations and future directions are discussed.

Sign in / Sign up

Export Citation Format

Share Document