scholarly journals Identifying the Subtypes and Characteristics of Mental Workload Among Chinese Physicians in Outpatient Practice: A Latent Profile Analysis

2021 ◽  
Vol 9 ◽  
Author(s):  
Dehe Li ◽  
Yinhuan Hu ◽  
Hao Chen ◽  
Ximin Zhu ◽  
Xiaoyue Wu ◽  
...  
Keyword(s):  
Latent Profile Analysis ◽  
Profile Analysis ◽  
Mental Workload ◽  
Western China ◽  
Outpatient Clinics ◽  
Self Assessment ◽  
Targeted Interventions ◽  
High Workload ◽  
Outpatient Practice ◽  
Latent Profile

Objective: The purpose of this study is to investigate the mental workload level of physicians in outpatient practice since the normalization of prevention and control of the COVID-19 pandemic in China and explore the subtypes of physicians regarding their mental workload.Methods: A cross-sectional survey of 1,934 physicians primarily in 24 hospitals in 6 provinces in Eastern, Central, and Western China was conducted from November 2020 to February 2021. A latent profile analysis was performed to identify clusters based on the six subscales of the Chinese version of physician mental workload scale developed by our research team. Chi-square tests were performed to explore the differences in demographic characteristics of the subtypes among the subgroups, and multinomial logistic regression analysis was further conducted to identify the determinants of the subtypes of physicians.Results: Overall, the participating physicians reported high levels of task load but with high self-assessed performance (68.01 ± 14.25) while performing communication work tasks characterized by direct patient interaction in outpatient clinics. About 33.8% of the participating physicians were identified as “high workload and high self-assessment” subtype, compared to 49.7% “medium workload and medium self-assessment” subtype and 16.4% “low workload and low self-assessment” subtype. Physicians in “high workload and high self-assessment” subtype had the highest mean mental workload score. Physicians who were female, younger, married, worse health status, those who had lower educational level and an average monthly income of 5,001–10,000 RMB, those who worked in tertiary A hospitals, more hours per week and more than 40 h per week in outpatient clinics, and those who saw more outpatients per day, and spent more time per patient but with higher outpatient satisfaction were more likely to belong to “high workload and high self-assessment” subtype.Conclusion: Our findings can help provide a solid foundation for developing targeted interventions for individual differences across physicians regarding their mental workload. We suggest the hospital managers should pay more attention to those physicians with characteristics of the “high workload and high self-assessment” subtype and strengthen the management of the workload of this subtype of physicians to reduce the risks of their mental health, and to maintain their high work performance in outpatient clinics.

The five classes

2020 ◽  
pp. 29-38
Author(s):  
Shannon N. Davis ◽  
Theodore N. Greenstein
Keyword(s):  
Division Of Labor ◽  
Latent Profile Analysis ◽  
Profile Analysis ◽  
Complete Data ◽  
National Study ◽  
Level Data ◽  
High Workload ◽  
Reported Data ◽  
Latent Profile

Chapter 4 presents findings from couple-level data from the National Study of Families and Households (Wave 1). We employ latent profile analysis to describe categories, or classes, of couples. We found that couples fell into five categories: Ultra-traditional, Traditional, Transitional Husbands, Egalitarian, and Egalitarian High Workload. This chapter presents the profiles of each of these classes of couples based upon their joint division of labor. The analysis is unique in that we use self-reported data from each spouse in order to document patterns across the 3,906 couples for whom we have complete data.

scholarly journals Mental workload of frontline nurses aiding in the COVID‐19 pandemic: A latent profile analysis

2021 ◽  
Vol 77 (5) ◽  
pp. 2374-2385
Author(s):  
Yawei Shan ◽  
Jing Shang ◽  
Yan Yan ◽  
Gendi Lu ◽  
Deying Hu ◽  
...  
Keyword(s):  
Latent Profile Analysis ◽  
Profile Analysis ◽  
Mental Workload ◽  
Latent Profile

Body image profiles and exercise behaviours in early motherhood. A latent profile analysis

2021 ◽  
pp. 135910532110191
Author(s):  
Anita M Raspovic ◽  
Laura M Hart ◽  
Yager Zali ◽  
Ivanka Prichard
Keyword(s):  
Body Image ◽  
Body Dissatisfaction ◽  
Survey Data ◽  
Latent Profile Analysis ◽  
Profile Analysis ◽  
Body Appreciation ◽  
Targeted Interventions ◽  
Early Motherhood ◽  
Latent Profile

Early motherhood may impact body image, and its relationship to exercise, potentially affecting mother and infant wellbeing. This study examined whether duration of weekly exercise differed according to body image profile (BIP) based on relative levels of body dissatisfaction and body appreciation. Survey data from 262 women, 0–5 years postpartum, were analysed. Latent profile analysis identified “average”, “dissatisfied” and “appreciative” BIPs. Significantly lower exercise was found in the dissatisfied compared to the appreciative BIP ( p  = 0 .005), with marginally lower exercise in the dissatisfied compared to the average BIP ( p  = 0.029 with adjusted α  = 0.02). This research has implications for designing targeted interventions supporting postpartum wellbeing.

scholarly journals The Activity of Daily Living (ADL) subgroups and Health impairment among Chinese elderly:A Latent Profile Analysis

2020 ◽  
Author(s):  
Yangchang Zhang ◽  
Yang Xiong ◽  
Qiuhua Yu ◽  
Shisi Shen ◽  
Li Chen ◽  
...  
Keyword(s):  
Daily Living ◽  
Latent Profile Analysis ◽  
Profile Analysis ◽  
The Elderly ◽  
Elderly Subjects ◽  
Activity Of Daily Living ◽  
Targeted Interventions ◽  
Aged People ◽  
Iadl Disability ◽  
Latent Profile

Abstract Background: Disability in aged people became one of the major challenges in China due to the acceleration of population aging. Nevertheless, there were limited methods to appropriately discriminate the degree of combined basic activity of daily living (BADL) and instrumental activity of daily living (IADL). The present study explored an empirical typology of the activity of daily living (ADL) and its association with health status among the elderly in China.Methods: Data throughout the Chinese Longitudinal Healthy Longevity Survey (CLHLS) was retrieved and Latent profile analysis (LPA) was conducted to identify the subgroups of ADL for included elderly subjects. Multinomial regression was performed to detect the effect of identified characteristics with ADL subgroups, and the restricted cubic spine was drawn to show the changes in the relationship between age-specific ADL disability and BMI.Results: The overall participants (n=8108) were divided into three ADL classes by LPA - ‘no BADL limitation-no IADL limitation’ (Class one, n=6062, 75%), ‘no BADL limitation- IADL impairment’ (Class two, n=1526, 19%), and ‘BADL impairment- IADL impairment’ (Class three, n=520, 6%). Compared with the participants in Class one, the oldest-old, living without spouse, lacking of exercise, short in social activities, having experience of falls, having comorbidity of diabetes, heart disease, stroke, decreased cognitive function, depression symptom were highly associated with Class two and Class three. Additionally, malnutrition and asthma were associated with combined BADL/IADL impairment (Class three), while illiteracy was only associated with IADL impairment (Class two). Furthermore, a statistically significant U-shape association was detected between age and BADL/IADL disability (Class three vs. Class two) as well as BMI and BADL/IADL disability (Class three vs. Class one). The elderly aged 80-90 with IADL impairment were less likely to evolve into combined BADL/IADL impairment, and the elderly who were underweight or obese may have higher risk of combined BADL/IADL impairment.Conclusion: A novel functional assessment was explored based on LPA, by which elderly people could be classified into three distinct classes of combined BADL/IADL. The predictors identified with particular IADL/BADL classes could draw early attention to the onset of functional disability and enlighten targeted interventions to address consequent problems of aged people.

scholarly journals Use of latent profile analysis and k-means clustering to identify student anxiety profiles

2022 ◽  
Vol 22 (1) ◽  
Author(s):  
Fang Liu ◽  
Dan Yang ◽  
Yueguang Liu ◽  
Qin Zhang ◽  
Shiyu Chen ◽  
...  
Keyword(s):  
Mental Health ◽  
High Risk ◽  
Latent Profile Analysis ◽  
Profile Analysis ◽  
Risk Groups ◽  
High Risk Group ◽  
Cross Sectional ◽  
Student Anxiety ◽  
Targeted Interventions ◽  
Latent Profile

Abstract Background Anxiety disorders are often the first presentation of psychopathology in youth and are considered the most common psychiatric disorders in children and adolescents. This study aimed to identify distinct student anxiety profiles to develop targeted interventions. Methods A cross-sectional study was conducted with 9738 students in Yingshan County. Background characteristics were collected and Mental Health Test (MHT) were completed. Latent profile analysis (LPA) was applied to define student anxiety profiles, and then the analysis was repeated using k-means clustering. Results LPA yielded 3 profiles: the low-risk, mild-risk and high-risk groups, which comprised 29.5, 38.1 and 32.4% of the sample, respectively. Repeating the analysis using k-means clustering resulted in similar groupings. Most students in a particular k-means cluster were primarily in a single LPA-derived student profile. The multinomial ordinal logistic regression results showed that the high-risk group was more likely to be female, junior, and introverted, to live in a town, to have lower or average academic performance, to have heavy or average academic pressure, and to be in schools that have never or occasionally have organized mental health education activities. Conclusions The findings suggest that students with anxiety symptoms may be categorized into distinct profiles that are amenable to varying strategies for coordinated interventions.

scholarly journals The activity of daily living (ADL) subgroups and health impairment among Chinese elderly: a latent profile analysis

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Yangchang Zhang ◽  
Yang Xiong ◽  
Qiuhua Yu ◽  
Shisi Shen ◽  
Li Chen ◽  
...  
Keyword(s):  
Daily Living ◽  
Latent Profile Analysis ◽  
Profile Analysis ◽  
The Elderly ◽  
Elderly Subjects ◽  
Activity Of Daily Living ◽  
Targeted Interventions ◽  
Aged People ◽  
Iadl Disability ◽  
Latent Profile

Abstract Background Disability in aged people became one of the major challenges in China due to the acceleration of population aging. Nevertheless, there were limited methods to appropriately discriminate the degree of combined basic activity of daily living (BADL) and instrumental activity of daily living (IADL). The present study explored an empirical typology of the activity of daily living (ADL) and its association with health status among the elderly in China. Methods Data throughout the Chinese Longitudinal Healthy Longevity Survey (CLHLS) was retrieved and Latent profile analysis (LPA) was conducted to identify the subgroups of ADL for included elderly subjects. Multinomial regression was performed to detect the effect of identified characteristics with ADL subgroups, and the restricted cubic spine was drawn to show the changes in the relationship between age-specific ADL disability and BMI. Results The overall participants (n=8108) were divided into three ADL classes by LPA - ‘no BADL limitation-no IADL limitation’ (Class one, n=6062, 75%), ‘no BADL limitation- IADL impairment’ (Class two, n=1526, 19%), and ‘BADL impairment- IADL impairment’ (Class three, n=520, 6%). Compared with the participants in Class one, the oldest-old, living without spouse, lacking of exercise, short in social activities, having experience of falls, having comorbidity of diabetes, heart disease, stroke, decreased cognitive function, depression symptom were highly associated with Class two and Class three. Additionally, malnutrition and asthma were associated with combined BADL/IADL impairment (Class three), while illiteracy was only associated with IADL impairment (Class two). Furthermore, a statistically significant U-shape association was detected between age and BADL/IADL disability (Class three vs. Class two) as well as BMI and BADL/IADL disability (Class three vs. Class one). The elderly aged 80–90 with IADL impairment were less likely to evolve into combined BADL/IADL impairment, and the elderly who were underweight or obese may have higher risk of combined BADL/IADL impairment. Conclusion A novel functional assessment was explored based on LPA, by which elderly people could be classified into three distinct classes of combined BADL/IADL. The predictors identified with particular IADL/BADL classes could draw early attention to the onset of functional disability and enlighten targeted interventions to address consequent problems of aged people.

scholarly journals The Activity of Daily Living (ADL) subgroups and Health impairment among Chinese elderly:A Latent Profile Analysis

2021 ◽  
Author(s):  
Yangchang Zhang ◽  
Yang Xiong ◽  
Qiuhua Yu ◽  
Shisi Shen ◽  
Li Chen ◽  
...  
Keyword(s):  
Daily Living ◽  
Latent Profile Analysis ◽  
Profile Analysis ◽  
The Elderly ◽  
Elderly Subjects ◽  
Activity Of Daily Living ◽  
Targeted Interventions ◽  
Aged People ◽  
Iadl Disability ◽  
Latent Profile

Abstract Background: Disability in aged people became one of the major challenges in China due to the acceleration of population aging. Nevertheless, there were limited methods to appropriately discriminate the degree of combined basic activity of daily living (BADL) and instrumental activity of daily living (IADL). The present study explored an empirical typology of the activity of daily living (ADL) and its association with health status among the elderly in China.Methods: Data throughout the Chinese Longitudinal Healthy Longevity Survey (CLHLS) was retrieved and Latent profile analysis (LPA) was conducted to identify the subgroups of ADL for included elderly subjects. Multinomial regression was performed to detect the effect of identified characteristics with ADL subgroups, and the restricted cubic spine was drawn to show the changes in the relationship between age-specific ADL disability and BMI.Results: The overall participants (n=8108) were divided into three ADL classes by LPA - ‘no BADL limitation-no IADL limitation’ (Class one, n=6062, 75%), ‘no BADL limitation- IADL impairment’ (Class two, n=1526, 19%), and ‘BADL impairment- IADL impairment’ (Class three, n=520, 6%). Compared with the participants in Class one, the oldest-old, living without spouse, lacking of exercise, short in social activities, having experience of falls, having comorbidity of diabetes, heart disease, stroke, decreased cognitive function, depression symptom were highly associated with Class two and Class three. Additionally, malnutrition and asthma were associated with combined BADL/IADL impairment (Class three), while illiteracy was only associated with IADL impairment (Class two). Furthermore, a statistically significant U-shape association was detected between age and BADL/IADL disability (Class three vs. Class two) as well as BMI and BADL/IADL disability (Class three vs. Class one). The elderly aged 80-90 with IADL impairment were less likely to evolve into combined BADL/IADL impairment, and the elderly who were underweight or obese may have higher risk of combined BADL/IADL impairment.Conclusion: A novel functional assessment was explored based on LPA, by which elderly people could be classified into three distinct classes of combined BADL/IADL. The predictors identified with particular IADL/BADL classes could draw early attention to the onset of functional disability and enlighten targeted interventions to address consequent problems of aged people.

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