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 Breaking up the play: The relationship between legal stops and winning in team handball

2022 ◽  
pp. 174795412110707
Author(s):  
Aron Laxdal ◽  
Andreas Ivarsson
Keyword(s):  
Logistic Regression ◽  
Regression Analysis ◽  
Multinomial Logistic Regression ◽  
Time Analysis ◽  
Multinomial Logistic Regression Analysis ◽  
Real Time Analysis ◽  
Team Handball ◽  
Game Outcome ◽  
Males And Females ◽  
The Relationship

The purpose of this study was to examine the relationship between legal stops and winning in team handball. Real-time analysis was performed on all games played in the Icelandic elite division for both males and females (regular season and playoffs) between 2017–2021 (854 games [570 male games, 284 female games], 32,392 legal stops in total). Legal stops were assessed as any physical action by a defensive player that resulted in the stop of play, without the defensive player being penalized or the offensive player receiving a 7-meter throw. The results from a multinomial logistic regression analysis indicated that legal stops were significantly associated with winning games in the male league. No statistically significant relationship was found between illegal stops and game outcome for either sex. However, 2-minute suspensions were found to be positively associated with winning in the male league.

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.

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 Bi-directional relationships between physical activity and mental health among a large sample of Canadian youth: a sex-stratified analysis of students in the COMPASS study

2021 ◽  
Vol 18 (1) ◽  
Author(s):  
M. Claire Buchan ◽  
Isabella Romano ◽  
Alexandra Butler ◽  
Rachel E. Laxer ◽  
Karen A. Patte ◽  
...  
Keyword(s):  
Physical Activity ◽  
Secondary School ◽  
Mental Disorder ◽  
Secondary School Students ◽  
School Students ◽  
Large Sample ◽  
Symptoms Of Depression ◽  
Males And Females ◽  
The Relationship

Abstract Objective The aim of this research was to examine the bidirectional association between self-reported symptoms of mental disorder and physical activity among a large sample of Canadian secondary school students over time. Methods Linked survey data were obtained from 28,567 grade 9 to 12 students across Canada participating in two waves of the COMPASS Study (2017–18; 2018–19). Autoregressive cross-lagged models were run to examine the reciprocal relationships between self-reported moderate-to-vigorous physical activity (MVPA) and symptoms of depression (CESD-10) and anxiety (GAD-7). Models were stratified by gender, and accounted for grade, ethno-racial identity, and school-level clustering. Results Autoregressive associations show that neither symptoms of anxiety nor depression, at baseline, were predictive of mean MVPA at follow-up – consistent for the full sample and among both males and females. Higher MVPA among males at baseline was associated with lower symptoms of both anxiety (β = − 0.03, p = 0.002) and depression (β = − 0.05, p < 0.001) at follow-up. However, among females, higher MVPA at baseline was associated with greater symptoms of anxiety (β = 0.03, p < 0.001), but not symptoms of depression (β = 0.01, p = 0.073), at follow-up. Conclusion In our large sample of Canadian secondary school students, associations between physical activity and symptoms of mental disorder were not bi-directional, and these relationships differed in males and females. This study illustrates the complex nature of the relationship between physical activity and symptoms of mental disorder among youth. While results support the benefits of promoting physical activity among males to prevent or manage internalizing symptoms, the relationship among females warrants further investigation.

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.

scholarly journals Individual socioeconomic and neighborhood factors predict changes in sports activity during the transition to retirement

2021 ◽  
Vol 18 (1) ◽  
Author(s):  
Dorothee Jürgens ◽  
Benjamin Schüz
Keyword(s):  
Multinomial Logistic Regression ◽  
Ecological Models ◽  
Occupational Prestige ◽  
Sports Activity ◽  
Neighborhood Factors ◽  
Multinomial Logistic Regression Analysis ◽  
Social Ecological ◽  
Transition To Retirement ◽  
Potential Interactions

Abstract Background There are substantial socioeconomic status (SES) differences in sports activity (SA) during the transition to retirement. In line with social-ecological models, the aim of this longitudinal study was to examine the association of perceptions of social and physical neighborhood factors with changes in SA across the retirement transition and to examine potential interactions with SES factors. Methods Data from 6 waves of the German Ageing Survey (DEAS) provided 710 participants (at baseline: mean age 61.1, 52.9% of men) who retired between baseline (1996, 2002, 2008, 2011) and their 6-year follow-up assessment. Associations between changes in SA (increases and decreases compared to retaining) and individual SES and neighborhood factors were estimated using multinomial logistic regression analysis. Results Increases were observed in 18.45% of participants, decreases in 10%. Occupational prestige was a risk factor for decreases, education a resource for increases in SA. Interactions between household income and several neighborhood factors were observed. Conclusions In line with social-ecological models, individual, neighborhood factors and interacting associations were found. In particular safety perceptions could be a resource for promotion SA in older adults who experience disadvantage.

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