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

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.

2019 ◽  
pp. 003022281987040
Author(s):  
Haimin Pan ◽  
Rong Hu

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.


2021 ◽  
Vol 40 (8) ◽  
pp. 481-490
Author(s):  
Tiara Ratz ◽  
Claudia Voelcker-Rehage ◽  
Claudia R. Pischke ◽  
Saskia Muellmann ◽  
Manuela Peters ◽  
...  

2019 ◽  
Vol 57 (12) ◽  
pp. 3346-3363 ◽  
Author(s):  
Ricardo Gouveia Rodrigues ◽  
João J.M. Ferreira ◽  
Teresa Felgueira

Purpose The need for dynamic and innovative skills and the importance of resources and individuals in pursuit of new opportunities prove to be extremely vital for the higher education institutions (HEI). The purpose of this paper is to develop a taxonomy of academics from HEI, based on their individual entrepreneurial orientation (EO). Design/methodology/approach The population in study was composed of teachers and researchers from worldwide HEI. The data collection was conducted through a questionnaire sent by an e-mail and the authors used the I-ENTRE-U scale to identify entrepreneurial-oriented teachers and researchers from HEI. A Latent Profile Analysis (LPA) was conducted to identify profiles of researchers with similar values in four EO dimensions. Findings The study allowed the authors to identify five profiles of researchers: downers, achievers, followers, defenders and rebels. Research limitations/implications The results can be an important starting point for other researchers and practitioners hoping to evaluate academics’ EO in a higher education sector. The taxonomy also allows wider predictions about the behaviour of the profile members of profiles and relates it with other variables such as performance. Further contributions may be added by extending the data gathering from different geographical areas and/or different academic contexts, such that future studies could apply other LPA techniques and compare the results. Originality/value Only few studies have focussed on individual EO of scientists/academics, considering different national and regional contexts. To the best of the authors’ knowledge, this is the first empirical study that develops a taxonomy of academics from HEI, based on their individual EO.


2018 ◽  
Vol 35 (1) ◽  
pp. 58-67 ◽  
Author(s):  
Alexandra M. Araújo ◽  
Cristiano Mauro Assis Gomes ◽  
Leandro S. Almeida ◽  
Jose Carlos Núñez

Academic expectations are an important variable in the explanation of adaptation and academic success in higher education. This paper uses latent profile analysis as a person-centered statistical approach to classify students into groups of similar types of expectations for higher education, at the beginning of the first year in university. Participants were 2,478 first-year Portuguese students. Based on the scores of seven dimensions of expectations, we identified six classes of students. Most students (84%) presented moderate levels of expectations, while 8% and 4%, respectively, reported very high and low expectations. One class represented a group of students (4%) with high expectations for the quality of education and for political engagement and citizenship and lower expectations for social interaction and attending to social pressures. Male and older students showed more positive expectations. Students from privileged family backgrounds are more likely to present higher expectations for political engagement and citizenship experiences, and lower expectations for social interaction and leisure and attending to social pressures. Keywords: latent profile analysis; person-centered; expectations; higher education; first-year students


2019 ◽  
Vol 48 (6) ◽  
pp. 1146-1160 ◽  
Author(s):  
Jingxin Zhao ◽  
Qianyu Li ◽  
Liwei Wang ◽  
Lingyu Lin ◽  
Wenxin Zhang

2021 ◽  
Vol 8 (3) ◽  
pp. 150-160
Author(s):  
Eren Halil ÖZBERK ◽  
Tuğba TÜRK KURTÇA

Procrastination behaviour occurs when the person is obligated to do an activity, even they are not motivated to carry out the activity within the expected time frame. Literature studies define four types of procrastination: academic, decisional, life routines, and neurotic. This study focuses on academic procrastination in higher education. Academic procrastination is mainly related to delaying academic tasks such as handing in assignments and term papers or preparing for the exams at the last moment. This study compares Turkish and international students' academic and general procrastination profiles using latent profile analysis. For this purpose, latent profiles were estimated to reveal how students from different cultures are grouped according to academic and general procrastination behaviour. A total of 691 undergraduate students, 52.4% (361) Turkish and 47.6% (330) of international students registered for an academic program in higher education participated in the study. Results indicated that while Turkish students for three latent profiles defined as Tending to enjoyable Works, Neither Lessons nor Other Works and Ambition for Academic Success. On the other hand, International students only fit two latent profiles, which are defined as Academic Procrastination Tending to Enjoyable Works and Prioritizing Academic Tasks.


2021 ◽  
Vol 5 (Supplement_1) ◽  
pp. 203-204
Author(s):  
Natasha Peterson ◽  
Jeongeun Lee ◽  
Eva Kahana

Abstract Disability is difficult to define succinctly. Current literature on disability has primarily focused on physical functional limitations. However, relying on a single dimension or index cannot accurately represent disability as the experience of disability is nuanced and complex. To address these gaps, this study aims to understand the multidimensional nature of disability among retired, community-dwelling older adults. Using a sample of 414 older adults between the ages of 72 and 106 years (M=84.84, SD=4.56), latent profile analysis was employed to identify classes based on five indicators of disability across three domains. The five indicators of disability included difficulties with activities of daily living (ADLs), cognitive impairment, physical impairment, sensory impairment, and participation restrictions. Three classes were found to represent the data best. The most favorable and highly functioning group comprised the highest number of participants (n=242, 59.5%). The next group, class 2 (n=157, 37.9%), was characterized by high physical impairment and ADL-difficulty. The smallest group, class 3 (n=15, 3.6%), had the highest ADL-difficulty and participation restrictions but drastically lower cognitive and sensory impairment. Multinomial logistic regression revealed that class membership was related to sociodemographic characteristics. Finally, class membership predicted several mental health outcomes such as depressive symptoms, positive affect, and life satisfaction in the expected direction. If supported by future work, these findings could inform practitioners in developing more specific interventions relevant to older adults based on their disability profiles. Understanding various combinations of disablement has potential implications for services and interventions to be tailored to individuals’ distinct disability-related needs.


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