scholarly journals Lifestyle components: Self-reported physical activity, nutritional status, sleep quality and incident atrial fibrillation

2020 ◽  
Vol 27 ◽  
pp. 100492
Author(s):  
Joylene E. Siland ◽  
Victor Zwartkruis ◽  
Bastiaan Geelhoed ◽  
Rudolf A. de Boer ◽  
Isabelle C. van Gelder ◽  
...  
2021 ◽  
Vol 39 ◽  
Author(s):  
João Miguel de Souza Neto ◽  
Filipe Ferreira da Costa ◽  
Arthur Oliveira Barbosa ◽  
Alcides Prazeres Filho ◽  
Elaine Valdna Oliveira dos Santos ◽  
...  

ABSTRACT Objective: To verify the prevalence of sleep quality and duration and its association with the level of physical activity, screen time and nutritional status in adolescents. Methods: This is a cross-sectional study with 1,432 adolescents (53.1%, female), ten to 14 years old (12.0±1.0 year) from public schools in Joao Pessoa, Northeast Brazil. Physical activity (≥300 vs. <300 minutes/week), screen time (≤2 vs. >2 h/day) and duration (<8 vs. ≥8 h/day) and perception of sleep quality (negative vs. positive perception) were measured by questionnaire. Nutritional status was assessed by body mass index (low weight / normal weight vs. overweight / obesity). Binary logistic regression was used to analyze association between variables, considering different aggregation of negative factors. Results: The prevalence of insufficient duration and negative perception of sleep quality was 12.6% (95%CI 10.9-14.4) and 21.0% (95%CI 18.9-23.1), respectively. There was a linear trend in the chance of the adolescents to present insufficient duration of sleep as a result of simultaneous negative factors (physical inactivity, excessive screen time, being overweight) (OR=4.31; 95%CI 1.50-12.48). Conclusions: Adolescents exposed simultaneously to low levels of physical activity, excessive screen time and overweight had a lower sleep duration.


2007 ◽  
Vol 32 (03) ◽  
Author(s):  
J Bai ◽  
S Lesser ◽  
S Paker-Eichelkraut ◽  
S Overzier ◽  
S Strathmann ◽  
...  

2018 ◽  
Vol 2 (1) ◽  
pp. 1
Author(s):  
Della MW Cintakaweni ◽  
Saptawati Bardosono ◽  
Hervita Diatri

Diabetes mellitus is often accompanied to schizophrenia patient. This condition probably related to genetic, antipsychotic drugs and the development of schizophrenia that can lead to an unhealthy lifestyle, such as sedentary lifestyle and the increased of dietary intake. Cross-sectional study was held in Psychiatry Department Cipto Mangunkusumo Hospital during May to June 2014 to determine the correlation between fasting plasma glucose concentration in schizophrenia patient to their nutritional status indicator and physical activity level. Forty-seven subjects finished the study protocol. The result showed that the fasting plasma glucose concentration in schizophrenia patient has no correlation with nutritional status indicator and physical activity level, in which 91.5% subject had normal fasting plasma glucose. However, there is a need for further investigation because 31.9% subject was overweight, 48.9% subject was obesity and 74.5% subject had central obesity.


2019 ◽  
Vol 22 (11) ◽  
pp. 109-114
Author(s):  
IzkaSofiyya Wahyurin ◽  
Saryono Saryono ◽  
Atikah Proverawati

2021 ◽  
Vol 141 (2) ◽  
pp. 89-96
Author(s):  
Hsin-Yen Yen ◽  
Hao-Yun Huang

Aims: Wearable devices are a new strategy for promoting physical activity in a free-living condition that utilizes self-monitoring, self-awareness, and self-determination. The main purpose of this study was to explore health benefits of commercial wearable devices by comparing physical activity, sedentary time, sleep quality, and other health outcomes between individuals who used and those that did not use commercial wearable devices. Methods: The research design was a cross-sectional study using an Internet survey in Taiwan. Self-administered questionnaires included the International Physical Activity Questionnaire–Short Form, Pittsburgh Sleep Quality Index, Health-Promoting Lifestyle Profile, and World Health Organization Quality-of-Life Scale. Results: In total, 781 participants were recruited, including 50% who were users of wearable devices and 50% non-users in the most recent 3 months. Primary outcomes revealed that wearable device users had significantly higher self-reported walking, moderate physical activity, and total physical activity, and significantly lower sedentary time than non-users. Wearable device users had significantly better sleep quality than non-users. Conclusion: Wearable devices inspire users’ motivation, engagement, and interest in physical activity through habit formation. Wearable devices are recommended to increase physical activity and decrease sedentary behavior for promoting good health.


2020 ◽  
Vol 41 (Supplement_2) ◽  
Author(s):  
T Demenko ◽  
G.A Chumakova

Abstract Background Mental disorders in patients with cardiovascular disease have a significant impact on the course, the prognosis of the underlying disease and quality of life (QOL). Objective We aimed to examine the prevalence of anxiety and depressive disorders and their impact on the quality of life in patients with atrial fibrillation (AF). Materials and methods In 52 with permanent AF and 50 with paroxysmal AF patients, we administered the depression scale Tsung, the scale of situational anxiety (SA) and personal anxiety (PA) Spielberger-Hanin; QOL was assessed the SF-36 quality of life assessment scale. Correlation analysis using Spearman's rank correlation coefficient. Results The prevalence symptoms mild depression situational or neurotic genesis was 21.1% (12 patients) in Group 1 and 12.0% (6 patients) in Group 2 (p&gt;0.05). Subdepressive state was two percents of patients in Group 1 and Group 2. The incidence SA was 59.6% (31 patients) in Group 1 and 52.0% (26 patients) in Group 2. The incidence PA was 74.0% (37 patients) in Group 2 and 67.3% (35 patients) in Group 1. The average score the physical component of health (PCH) was 29,8±4,3 in Group 1, the mental component of health (MCH) – 49.5±7.4 points; p&lt;0.05. In Group 2: PCH – 44.8±6.6 points, MCH – 26.6±7.5 points; p&lt;0.05. Correlation analysis showed negative strong correlations between SA and MCH (r=−0.64, p=0.0005) and between PA and MCH (r=−0.69, p&lt;0.0001), between SA and PCH (r=−0.71, p=0.0001), between depression and PCH (r=−0.69, p=0.023). Negative statistically significant correlation between depression and MCH (r=−0.69, p=0.54) and negative medium correlation between depression and PCH (r=−0.64, p=0.23). Conclusion These findings suggest that we did not identify patients with symptoms of a true depressive (that can cause pseudodementia and influenced to complete tests). 16.5% patients with AF had mild depression of situational or neurotic genesis. Depression may be a pathogenetic factor of AF or develop because of paroxysms AF – psychological stress. More than 50% patients in Group 1 and Group 2 had an increased anxiety score. SA is more common in patients with permanent AF, probably because older people difficult to adapt to a new situation. PA is more common in patient with paroxysmal AF, probably because disease is sudden and causes anxiety. The PCH of QOL is more impairment in patients with permanent AF, because complications (for example heart failure) impairment physical activity. However, PCH also reduced in patient with paroxysmal AF, because disease is sudden may occur during physical activity. The MCH of QOL is more impairment in patients with paroxysmal AF, because waiting attack effect on mental health and social functioning. An increased level of anxiety and depression negatively affected the mental and physical health of patients with AF. Funding Acknowledgement Type of funding source: None


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