scholarly journals Modelling the complexity of pandemic-related lifestyle quality change and mental health: an analysis of a nationally representative UK general population sample

2021 ◽  
Author(s):  
Sarah Butter ◽  
Jamie Murphy ◽  
Philip Hyland ◽  
Orla McBride ◽  
Mark Shevlin ◽  
...  
Keyword(s):  
Mental Health ◽  
Latent Profile Analysis ◽  
Profile Analysis ◽  
Multinomial Logistic Regression ◽  
Adult Population ◽  
Population Sample ◽  
Lifestyle Change ◽  
Quality Change ◽  
Multinomial Logistic Regression Analysis ◽  
Partner Relations

Abstract Purpose The COVID-19 pandemic has affected the way many individuals go about their daily lives. This study attempted to model the complexity of change in lifestyle quality as a result of the COVID-19 pandemic and its context within the UK adult population. Methods Data from the COVID-19 Psychological Research Consortium Study (Wave 3, July 2020; N = 1166) were utilised. A measure of COVID-19-related lifestyle change captured how individuals’ lifestyle quality had been altered as a consequence of the pandemic. Exploratory factor analysis and latent profile analysis were used to identify distinct lifestyle quality change subgroups, while multinomial logistic regression analysis was employed to describe class membership. Results Five lifestyle dimensions, reflecting partner relationships, health, family and friend relations, personal and social activities, and work life, were identified by the EFA, and seven classes characterised by distinct patterns of change across these dimensions emerged from the LPA: (1) better overall (3.3%), (2) worse except partner relations (6.0%), (3) worse overall (2.5%), (4) better relationships (9.5%), (5) better except partner relations (4.3%), (6) no different (67.9%), and (7) worse partner relations only (6.5%). Predictor variables differentiated membership of classes. Notably, classes 3 and 7 were associated with poorer mental health (COVID-19 related PTSD and suicidal ideation). Conclusions Four months into the pandemic, most individuals’ lifestyle quality remained largely unaffected by the crisis. Concerningly however, a substantial minority (15%) experienced worsened lifestyles compared to before the pandemic. In particular, a pronounced deterioration in partner relations seemed to constitute the more severe pandemic-related lifestyle change.

scholarly journals Modelling the complexity of pandemic-related lifestyle quality change and mental health: An analysis of a nationally representative UK general population sample

2021 ◽  
Author(s):  
Sarah Butter ◽  
Jamie Murphy ◽  
Philip Hyland ◽  
Orla McBride ◽  
Mark Shevlin ◽  
...  
Keyword(s):  
Mental Health ◽  
Latent Profile Analysis ◽  
Profile Analysis ◽  
Multinomial Logistic Regression ◽  
Population Sample ◽  
Lifestyle Change ◽  
Psychological Research ◽  
Quality Change ◽  
Multinomial Logistic Regression Analysis ◽  
Partner Relations

Purpose: The COVID-19 pandemic has affected the way many individuals go about their daily lives. This study attempted to model the complexity of change in lifestyle quality as a result of the COVID-19 pandemic and its context within the UK adult population.Methods: Data from the COVID-19 Psychological Research Consortium Study (Wave 3, July 2020; N=1166) were utilised. A measure of COVID-19-related lifestyle change captured how individuals’ lifestyle quality had been altered as a consequence of the pandemic. Exploratory factor analysis and latent profile analysis were used to identify distinct lifestyle quality change subgroups, while multinomial logistic regression analysis was employed to describe class membership.Results: Five lifestyle dimensions, reflecting partner relationships, health, family and friend relations, personal and social activities, and work life were identified by the EFA, while seven classes characterised by distinct patterns of change across these dimensions emerged from the LPA: (1) Better overall (3.3%), (2) Worse except partner relations (6.0%), (3) Worse overall (2.5%), (4) Better relationships (9.5%), (5) Better except partner relations (4.3%), (6) No different (67.9%), and (7) Worse partner relations only (6.5%). Predictor variables differentiated membership of classes. Notably, classes 3 and 7 were associated with poorer mental health (COVID-19 related PTSD and suicidal ideation).Conclusions: Four months into the pandemic, most individuals’ lifestyle quality remained largely unaffected by the crisis. Concerningly however, a substantial minority (15%) experienced worsened lifestyles compared to before the pandemic. In particular, a pronounced deterioration in partner relations seemed to constitute the more severe pandemic-related lifestyle change.

scholarly journals Smoking and Physical Activity Trajectories from Childhood to Midlife

2019 ◽  
Vol 16 (6) ◽  
pp. 974 ◽  
Author(s):  
Kasper Salin ◽  
Anna Kankaanpää ◽  
Mirja Hirvensalo ◽  
Irinja Lounassalo ◽  
Xiaolin Yang ◽  
...  
Keyword(s):  
Physical Activity ◽  
Latent Profile Analysis ◽  
Profile Analysis ◽  
Multinomial Logistic Regression ◽  
Finnish Population ◽  
Multinomial Logistic Regression Analysis ◽  
Males And Females ◽  
The Relationship ◽  
Substantial Interest

Introduction: Despite substantial interest in the development of health behaviors, there is limited research that has examined the longitudinal relationship between physical activity (PA) and smoking trajectories from youth to adulthood in a Finnish population. This study aimed to identify trajectories of smoking and PA for males and females, and study the relationship between these trajectories from youth to adulthood. Methods: Latent profile analysis (LPA) was used to identify trajectories of smoking and PA separately for males and females among 3355 Finnish adults (52.1% females). Participants’ smoking and PA were assessed five to eight times over a 31-year period (3–18 years old at the baseline, 34–49 years at last follow-up). Multinomial logistic regression analysis was used to study the relationship between the trajectories of smoking and PA. Results: Five smoking trajectories and four to five PA trajectories were identified for males and females. Of the PA trajectory groups, the persistently active group were least likely to follow the trajectories of regular smoking and the inactive and low active groups were least likely to follow non-smoking trajectory group. Likewise, inactive (women only) and low active groups were less likely to belong to the non-smokers group. Conclusions: The study suggests that those who are persistently active or increasingly active have substantially reduced probabilities of being in the highest-risk smoking categories.

scholarly journals Applying Latent Profile Analysis to Identify Lifestyle Profiles and Their Association with Loneliness and Quality of Life among Community-Dwelling Middle- and Older-Aged Adults in South Korea

2021 ◽  
Vol 18 (23) ◽  
pp. 12374
Author(s):  
Kang-Hyun Park ◽  
Eun-Young Yoo ◽  
Jongbae Kim ◽  
Ickpyo Hong ◽  
Jae-Shin Lee ◽  
...  
Keyword(s):  
Quality Of Life ◽  
Mental Health ◽  
South Korea ◽  
Latent Profile Analysis ◽  
Profile Analysis ◽  
Multinomial Logistic Regression ◽  
Community Dwelling ◽  
Large Distribution ◽  
Latent Profile

This study aimed to examine the multi-faceted lifestyle profiles of community-dwelling middle- and older-aged adults based on their physical activity, participation in various activities, and nutrition. It identified the association of lifestyle profiles with demographic variables, quality of life, and mental health. The analysis included 569 participants (mean age = 60.2; SD = 4.3). Latent profile analysis identified three distinctive lifestyle profiles: “inactive and unbalanced” (36.4%), “basic life maintenance” (54.6%), and “active and balanced” (9.1%). Sex (p < 0.001), age (p < 0.001), and regular medication intake (p < 0.01) were statistically significantly different among the three profiles. Of the “inactive and unbalanced” lifestyle group, 63.3% of it was comprised of by females, and a relatively large distribution was aged over 65. In the “basic life maintenance” subgroup, males showed a relatively large distribution, and 92.6% of participants were aged 55–64. People with active and balanced lifestyles demonstrated high quality of life levels (p < 0.001) and low loneliness levels (p < 0.01). Multinomial logistic regression revealed a statistically significant positive association between lifestyle profiles and quality of life (p < 0.001) as well as mental health (p < 0.01). Therefore, health promotion that considers multi-faceted lifestyle factors would need to improve health and quality of life among community-dwelling middle- and older-aged adults in South Korea.

scholarly journals Self-Efficacy in Early Childhood Education and Care: What Predicts Patterns of Stability and Change in Educator Self-Efficacy?

2021 ◽  
Vol 6 ◽  
Author(s):  
Yvonne Reyhing ◽  
Sonja Perren
Keyword(s):  
Early Childhood ◽  
Self Efficacy ◽  
Latent Profile Analysis ◽  
Profile Analysis ◽  
Multinomial Logistic Regression ◽  
Working Hours ◽  
Stability And Change ◽  
Multinomial Logistic Regression Analysis ◽  
Low Profile ◽  
Family Based

Self-efficacy is an important predictor of people’s behaviour and wellbeing. In this longitudinal study we investigated patterns of stability and change in early childhood educator self-efficacy (ESE) in child-centred educational practice and its predictors. Early childhood educators completed a questionnaire twice. Latent profile analysis yielded four profiles: decrease profile (21.2%), increase profile (25.0%), low profile (9.6%), and high profile (44.2%). Profiles were used as the outcome of a multinomial logistic regression analysis. The analyses showed that educators’ experience, number of hours worked per week, and institution are significant predictors for profile membership: educators with less professional experience and fewer working hours per week have a higher probability of being in the low profile. Family-based educators have a higher probability of being in the decrease profile than centre-based educators. The lack of opportunities to increase self-efficacy available to less experienced, part-time educators and family-based working educators are discussed in frame of Bandura’s (1997) sources of self-efficacy. Practical interventions such as coaching and tandem building are proposed to strengthen ESE.

Providing instrumental support to older parents of multi-child families in China: are there different within-family patterns?

2021 ◽  
pp. 1-18
Author(s):  
Jia Chen ◽  
Xiaochen Zhou ◽  
Nan Lu
Keyword(s):  
Adult Children ◽  
Latent Profile Analysis ◽  
Profile Analysis ◽  
Multinomial Logistic Regression ◽  
Adult Child ◽  
Instrumental Support ◽  
Older Parents ◽  
Older Mothers ◽  
Family Patterns ◽  
Using Data

Abstract Older parents in China rely heavily on their adult children for instrumental assistance. In different multi-child families, multiple offspring may co-operate in providing instrumental support to older parents in distinct ways in terms of how much support they provide on average and how much differentiation exists between them when they provide such support within a family. We aimed to identify different within-family patterns in relation to multiple offspring's instrumental support to an older parent in Chinese multi-child families, and to investigate potential predictors for different within-family patterns. Using data from the China Family Panel Studies (2016), we had a working sample of 5,790 older adults aged 60+ (mean = 68.54, standard deviation = 6.60). We employed latent profile analysis (LPA) to classify within-family patterns and multinomial logistic regression to investigate predictors. Our findings identified three within-family patterns: dissociated (59.10%), highly differentiated (29.60%) and united-filial (11.30%). Older parents in the highly differentiated families tended to be older, mothers, divorced/widowed and to have poorer physical health compared to their counterparts in the dissociated families. In contrast, the composition characteristics of multiple adult children played more important roles in determining the united-filial within-family pattern. The united-filial families were more likely to have fewer adult children, at least one adult daughter and at least one co-residing adult child.

Profile Analysis and Risk Assessment: Identifying Distinct Patterns of Risks and Needs

2021 ◽  
pp. 154120402110124
Author(s):  
Christopher D’Amato ◽  
Christina A. Campbell ◽  
Jordan Papp ◽  
William Miller
Keyword(s):  
Mental Health ◽  
Juvenile Justice ◽  
Latent Profile Analysis ◽  
Profile Analysis ◽  
Assessment System ◽  
Low Risk ◽  
Specific Intervention ◽  
Moderate Risk ◽  
Prosocial Skills ◽  
Adjudicated Youth

The goal of this study was to identify distinct and meaningful profiles of the seven criminogenic risk and need domains included on the Ohio Youth Assessment System—Disposition Tool (OYAS-DIS). This goal was accomplished by conducting a latent profile analysis (LPA) on a sample of 4,383 formally processed justice-involved youth assessed by the OYAS-DIS. The LPA determined there were six distinct profiles: (1) Low risk and need, (2) Low/moderate risk and need, (3) Low risk/need with high juvenile justice history, (4) Academic, mental health, and substance use needs, (5) Prosocial skills and decision making, and (6) High risk and need. Results may help juvenile justice practitioners to identify and address specific intervention needs of adjudicated youth.

scholarly journals Classification of Mental Health among Korean Vietnam War Veterans: A Latent Profile Analysis

2020 ◽  
Vol 4 (Supplement_1) ◽  
pp. 637-637
Author(s):  
Hyunyup Lee ◽  
Carolyn Aldwin ◽  
Sungrok Kang ◽  
Xyle Ku
Keyword(s):  
Mental Health ◽  
Vietnam War ◽  
Military Service ◽  
Latent Profile Analysis ◽  
Service Providers ◽  
Profile Analysis ◽  
Well Being ◽  
War Veterans ◽  
Vietnam War Veterans ◽  
Latent Profile

Abstract We investigated the dimensional structure of mental health among aging Korean Veterans using latent profile analysis (LPA) on posttraumatic stress disorder symptoms (PTSD), late onset stress symptomology (LOSS), and psychosocial well-being (PWB). The Korean Vietnam War Veterans Study consists of 367 men (Mage=72, SD=2.66). LPA identified five classes of mental health as best fitting the data. Most men were in the normal (38%) and moderate distress (31%) groups, while smaller proportions were in the low affect (13%) and severe distress (7%) groups. The resilient group (12%) had low PTSD, medium LOSS, and high PWB, and were highest on optimism, positive appraisals of military service, and social support. Negative and positive aspects of mental health outcomes were on separate dimensions rather than on a single bipolar dimension. Service providers should attempt to both reduce Veterans’ negative psychological symptoms and increase psychosocial well-being. Part of a symposium sponsored by the Aging Veterans: Effects of Military Service across the Life Course Interest Group.

scholarly journals Associations between Child and Family Level Correlates and Behavioural Patterns in School-Aged Children

Children ◽  
2021 ◽  
Vol 8 (11) ◽  
pp. 1023
Author(s):  
Ninoshka J. D’Souza ◽  
Miaobing Zheng ◽  
Gavin Abbott ◽  
Sandrine Lioret ◽  
Kylie D. Hesketh
Keyword(s):  
Latent Profile Analysis ◽  
Profile Analysis ◽  
Multinomial Logistic Regression ◽  
Working Hours ◽  
Target Population ◽  
Older Children ◽  
Increased Risk ◽  
Behavioural Patterns ◽  
Family Level ◽  
The Individual

Identifying correlates of behavioural patterns are important to target population sub-groups at increased health risk. The aim was to investigate correlates of behavioural patterns comprising four behavioural domains in children. Data were from the HAPPY study when children were 6–8 years (n = 335) and 9–11 years (n = 339). Parents reported correlate and behavioural data (dietary intake, physical activity, sedentary behaviour, and sleep). Behavioural data were additionally captured using accelerometers. Latent profile analysis was used to derive patterns. Patterns were identified as healthy, unhealthy, and mixed at both time points. Multinomial logistic regression tested for associations. Girls were more likely to display healthy patterns at 6–8 years and display unhealthy and mixed patterns at 9–11 years than boys, compared to other patterns at the corresponding ages. Increased risk of displaying the unhealthy pattern with higher age was observed at both timepoints. At 9–11 years, higher parental working hours were associated with lower risk of displaying mixed patterns compared to the healthy pattern. Associations observed revealed girls and older children to be at risk for unhealthy patterns, warranting customisation of health efforts to these groups. The number of behaviours included when deriving patterns and the individual behaviours that dominate each pattern appear to be drivers of the associations for child level, but not for family level, correlates.

scholarly journals Mental Health in Affectionate, Antagonistic, and Ambivalent Relationships During the COVID-19 Pandemic: A Latent Profile Analysis

2021 ◽  
Vol 12 ◽  
Author(s):  
Jasmina Mehulić ◽  
Željka Kamenov
Keyword(s):  
Mental Health ◽  
Intimate Relationships ◽  
Latent Profile Analysis ◽  
Profile Analysis ◽  
Health Indicators ◽  
Well Being ◽  
Relationship Functioning ◽  
Relationship Type ◽  
Relationship Types ◽  
Latent Profile

The ongoing coronavirus disease-2019 (COVID-19) pandemic presents an acute stressor affecting mental health. In these stressful times, intimate relationships functioning could serve as a protective or a risk factor to the well-being of partners. Adult Croatian citizens engaged in intimate relationships (N = 727) reported their relationship characteristics and assessed symptoms of depression, anxiety, and stress during the state lockdown in May 2020. Three relationship profiles based on variations in key relationship characteristics were identified using latent profile analysis. Profiles represented distinct relationship types described as affectionate, ambivalent, and antagonistic relationships. These relationship types differed in their levels of love and perception of humility, responsiveness, and behavior of the partner. Relationship type was associated with mental health symptoms such as depression, anxiety, and stress during the COVID-19 pandemic and state lockdown. Being in an affectionate relationship was associated with the lowest levels of depression, anxiety, and stress, while in an antagonistic relationship these are in the highest levels. Ambivalent relationships were characterized by moderate levels on all measured mental health indicators with no difference in anxiety compared with affectionate relationships. The results emphasized the link between relationship functioning and successful coping with mental health hazards such as the fear of disease or restrictive measures put in place to contain the COVID-19 pandemic.

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