The Effect of Personality Traits and Life Goals on Health Related Behaviour = أثر السمات الشخصية وأهداف الحياة على السلوك الصحي المرتبط

Author(s):  
Jawaher Sulaiman Alsayari
2020 ◽  
Vol 4 (Supplement_1) ◽  
pp. 233-233
Author(s):  
Xiaocao Sun ◽  
Minhui Liu ◽  
Christina E Miyawaki ◽  
Yuxiao Li ◽  
Tianxue Hou ◽  
...  

Abstract Personality is associated with predictors of homebound status like frailty, incident falls, and depression. It has been rarely investigated whether personality predicts homebound status among older adults. Using the combining cross-sectional data of the Year 2013 and Year 2014 data from the National Health and Aging Trends Study (NHATS), this study examined the association between personality traits and homebound status in a sample of community-dwelling older adults aged 65 years and older (N=2,788). Homebound status (non-homebound, semi-homebound, and homebound) was determined by the frequency, difficulty, and help of outdoor mobility. Personality traits, including conscientiousness, agreeableness, openness, extraversion, and neuroticism were assessed using the 10-item Midlife Development Inventory on a rating scale from 1 (not at all) to 4 (a lot). Each personality trait was included as a predictor in an ordinal logistic regression model to examine its association with homebound status after adjusting demographic and health-related covariates. The sample was on average 79±7.53 years old, non-Hispanic White (72.0%), female (58.6%), living alone (35.4%) or with spouse/partner only (37.4%). Seventy-four percent, 18%, and 8% of participants were non-homebound, semi-homebound, and homebound, respectively. Homebound participants tended to be less-educated older females. The average scores of conscientiousness, agreeableness, openness, extraversion, and neuroticism were 3.19±0.75, 3.57±0.56, 2.81±0.83, 3.13±0.75, and 2.22±0.86, respectively. Among these five personality traits, high conscientiousness (OR=1.34, p<0.001) and extraversion (OR=1.16, p=.03) were associated with a reduced likelihood of being homebound. These findings provided a basis for potential personality assessment to identify and protect individuals with high homebound risk.


2015 ◽  
Vol 59 ◽  
pp. 104-110 ◽  
Author(s):  
Mark S. Allen ◽  
Stewart A. Vella ◽  
Sylvain Laborde

2012 ◽  
Vol 66 (12) ◽  
pp. 1122-1128 ◽  
Author(s):  
Lukas Pitel ◽  
Andrea Madarasova Geckova ◽  
Peter Kolarcik ◽  
Peter Halama ◽  
Sijmen A Reijneveld ◽  
...  

2003 ◽  
Vol 8 (1) ◽  
Author(s):  
Karl Peltzer

The main objective of the ‘Health Behaviour among School-Aged Children’ (HBSC) study was to collect information on health-related behaviour of South African youth. Opsomming Die hoofdoelwit van die studie “Health Behaviour among School-aged Children” (Gesondheidsgedrag van skoolgaande kinders) studie is om inligting in te samel ten opsigte van gesondheidverwante gedrag van die Suid-Afrikaanse jeug. *Please note: This is a reduced version of the abstract. Please refer to PDF for full text.


2019 ◽  
Vol 72 (1) ◽  
pp. 12-16
Author(s):  
Ruslan V. Tekliuk ◽  
Ihor V. Serheta ◽  
Oksana A. Serebrennikova

Introduction: Both positive and risky health behaviours among adolescents are of paramount importance as they often pathway further lifestyles and determine future health outcomes. The paper focuses on the trends of health promotion activities and health risks among adolescents who have been instructed on these topics at secondary schools. The aim: to detect trends in pro-active health behaviour and risk taking activities of Ukrainian adolescents in the last 14 years. Materials and methods: males and females, aged 15-17, who studied in secondary schools of the urban area of Vinnytsia city, Ukraine, in the years 2003, 2013, 2017, anonymously filled in the 118-item questionnaire. Descriptive statistics, Cochran Q test, Spearman correlation analysis, Kendall’s tau coefficient were used to analyze the data. Results: Overall, the data about health related issues obtained in the year 2003 vary significantly from the years 2013 and 2017, which indicates some beneficial influence that has taken place since 2003. Much fewer differences were spotted between the years 2013 and 2017. Health related behaviours in females showed less significant dynamics and some changes indicate regression, while males reported multiple improved results. Meanwhile actual numbers of males who opted for risky behaviours were higher than those of females. Significant relationships were found between some socio-economic factors, positive health behaviours (sufficient sleep, physical activity, daily regime, and life satisfaction) and proactive health choices. Conclusions: The available data suggests that there was a beneficial health-related influence on the schoolchildren over the years 2003-2017. Our findings also support the view that certain assets may protect the youth from risk-taking behaviours.


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