scholarly journals The evaluation of health-related behaviours between the physically active and non-active women

2014 ◽  
Vol 124 (1) ◽  
pp. 10-13 ◽  
Author(s):  
Dariusz Boguszewski ◽  
Jakub Grzegorz Adamczyk ◽  
Sylwia Kowalska ◽  
Judyta Sado-Drapała ◽  
Monika Lewandowska ◽  
...  

Abstract Introduction. In the face of the more and more general threat with civilization diseases the promotion of healthy lifestyle should be one of main activities of educational and medical institutions. Aim. The aim of the work was comparison of chosen elements of healthy lifestyle between the young physically active women and non-sports ones. Material and methods. The survey was carried out on 156 women aged 18-35 years, divided into two groups. Persons physically active were classified into Group 1 (n=72), whereas into Group 2 - non-active ones (n=84). The investigative tool was the Inventory of Health-Related Behaviours by Juczyński (where health-related behaviours were rated in four categories: proper nutrition habits, prophylaxis behaviours, and positive attitude and health practices). Differences between the data were qualified with the t-student test for independent groups; level p≤0.05 was accepted as of minimum significance. Results. The results show that physically active persons pay greater attention to healthy lifestyle than non-sports people. The general indicator of health-related behaviours was noticeably higher in Group 1 (p=0.007). Greatest differences (p=0.008) were noted within the range of nutritional habits, and the least significant ones - in positive attitude (p=0.546). Conclusion. The positive influence of the physical activity on other aspects of the healthy lifestyle has been proven. It seems legitimate to promote physical activity among women of every age

2021 ◽  
Vol 5 (Supplement_1) ◽  
pp. 681-681
Author(s):  
Andrew Gardner ◽  
Polly Montgomery ◽  
Ming Wang ◽  
Biyi Shen ◽  
Shangming Zhang ◽  
...  

Abstract We determined if meeting the 2018 physical activity guidelines was associated with better ambulatory function, health-related quality of life, and inflammation than failing to meet the guidelines in patients with peripheral artery disease and claudication. Secondly, we determined the optimal number of total daily steps that are needed to meet the physical activity guidelines. Five hundred seventy-two patients were assessed on their daily ambulatory activity for one week with a step activity monitor, and were grouped according to whether they achieved less than 150 minutes of moderate intensity physical activity per week (Group 1=Do Not Meet Guidelines; n=397), or whether they were above this threshold (Group 2=Meet Guidelines; n=175). Treadmill peak walking time (mean±SD) was significantly higher (p<0.001) in Group 2 (709±359 sec) than in Group 1 (427±281 sec). The health-related quality of life score for physical function was significantly higher (p<0.001) in Group 2 (61±22%) than in Group 1 (44±21%). High sensitivity C-reactive protein was significantly lower (p<0.001) in Group 2 (3.6±4.5 mg/L) than in Group 1 (5.9±6.1 mg/L). Finally, 7,675 daily steps was the optimal threshold associated with meeting the physical activity guidelines, with a sensitivity of 82.9% and a specificity of 88.4%. In conclusion, patients with claudication who meet the 2018 physical activity guidelines for US adults had better ambulation, HRQoL, and inflammation outcomes than those who failed to meet the guidelines. From a practical standpoint, patients with claudication best achieved the physical activity guidelines by taking a total of 7,675 daily steps.


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>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<0.05. In Group 2: PCH – 44.8±6.6 points, MCH – 26.6±7.5 points; p<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<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


Work ◽  
2021 ◽  
pp. 1-10
Author(s):  
Emília Martins ◽  
Rosina Fernandes ◽  
Francisco Mendes ◽  
Cátia Magalhães ◽  
Patrícia Araújo

BACKGROUND: The health-related quality of life construct (QoL) implies a relationship with eating habits (EA) and physical activity (PA). Sociodemographic and anthropometric variables (gender, age and Body Mass Index - BMI) are highlighted in the definition of healthy lifestyle habits promotion strategies. OBJECTIVE: We aim to characterize and relate PA, EA and QoL in children/youth and explore gender, age and BMI influences. METHODS: It is a non-experimental study, with 337 children/youth, ages between 8 and 17 years (12.61±2.96), mostly from the rural inland of Portugal. In data collection we used a sociodemographic and anthropometric questionnaire, a weekly register table of EA and Kid-Kindl (QoL). Statistical analysis (p <  0.05) were performed in SPSS-IBM 25. RESULTS: Lower BMI was associated with better EA (p <  0.001), PA (p <  0.05) and self-esteem (p <  0.01) and worse scores on family subscale of QoL. Female showed higher fruit intake (p <  0.05). The older has shown better results. PA is positively correlated with QoL (p <  0.01) and EA (p <  0.05). CONCLUSIONS: It is important to explore other relevant social and family dimensions, to promote intervention programs with parents, school and community, as well as healthy practices policies. The intervention in these age groups is critical for a longer-term impact in improving healthy life habits.


Nutrients ◽  
2020 ◽  
Vol 12 (1) ◽  
pp. 183 ◽  
Author(s):  
Rizk Melissa ◽  
Mattar Lama ◽  
Kern Laurence ◽  
Berthoz Sylvie ◽  
Duclos Jeanne ◽  
...  

Abnormally high levels of physical activity have been documented throughout the literature in patients with eating disorders (ED), especially those diagnosed with anorexia nervosa (AN). Yet no clear definition, conceptualization, or treatment of the problematic use of physical activity (PPA) in ED patients exists. The aim of this review is to propose a new classification of PPA, report the prevalence, triggers, predictors, maintainers and other related factors of PPA in ED patients, in addition to proposing a comprehensive model of the development of PPA in AN. A total of 47 articles, retrieved from Medline and Web of Science, met the inclusion criteria and were included in the analysis. As a result, the new approach of PPA was divided into two groups (group 1 and group 2) according to the dimension (quantitative vs qualitative approach) of physical activity that was evaluated. The prevalence of PPA in ED was reported in 20 out of 47 studies, the comparison of PPA between ED versus controls in 21 articles, and the links between PPA and psychological factors in ED in 26 articles, including depression (16/26), anxiety (13/26), obsessive–compulsiveness (9/26), self-esteem (4/26), addictiveness (1/26), regulation and verbal expression of emotions (1/26) and anhedonia (1/26). The links between PPA and ED symptomatology, PPA and weight, body mass index (BMI) and body composition in ED, PPA and age, onset, illness duration and lifetime activity status in ED, PPA and ED treatment outcome were reported in 18, 15, 7, 5 articles, respectively. All of the factors have been systematically clustered into group 1 and group 2. Results focused more on AN rather than BN due to the limited studies on the latter. Additionally, a model for the development of PPA in AN patients was proposed, encompassing five periods evolving into three clinical stages. Thus, two very opposite components of PPA in AN were suggested: voluntarily PPA increased in AN was viewed as a conscious strategy to maximize weight loss, while involuntarily PPA increased proportionally with weight-loss, indicating that exercise might be under the control of a subconscious biological drive and involuntary cognition.


2021 ◽  
Vol 45 (3) ◽  
pp. 235-242
Author(s):  
Ivan Holik ◽  
Vesna Štemberger ◽  
Petra Pejić Papak ◽  
Vilko Petrić ◽  
Matea Kitak

The aim of this research is to study the impact of physically active breaks, accompanied by video materials, on the level of pupils’ educational achievement and their attitudes toward physically active breaks during the teaching process in the classroom. The research lasted for two months, and the apposite sample consisted of a total of 38 pupils aged 10 to 11. The influence of physically active breaks on the educational achievement was estimated by the percentage of correct answers in the tasks of mathematics, while the Croatian version of the questionnaire Attitudes towards the Physical Activity Scale (APAS) was used for evaluating the attitudes toward physically active breaks with video materials. Differ ences between the initial and final measuring inside the same group were tested by the Student’s dependent sample t-test, while for differences between the experimental and control group the Student’s independent sample t-test was used. The obtained results showed that the ability to solve mathematical tasks in the experimental group has significantly improved when compared to the control one and that physically active breaks have a positive influence on the pupils’ attitudes toward physical activity. The implementation of physically active breaks into teaching has an impact on pupils’ productivity in the educational process, while at the same time their need for movement is fulfilled.


2021 ◽  
Vol 15 (7) ◽  
pp. 2343-2347
Author(s):  
YU. S. Ivanchuk ◽  
L.V. Tribuntсeva ◽  
A.V. Budnevsky ◽  
N.I. Ostroushko ◽  
YA. S. Shkatova ◽  
...  

Background. Physical activity is associated with better asthma control and life quality in asthma. Osteoarthritis is one of the less studied comorbidities in asthmatic patients. Methods. The study included 38 patients diagnosed with asthma, 65 patients with asthma and osteoarthritis, and 40 volunteers who did not suffer from asthma and osteoarthritis. During the study, 3 groups were formed: Group 1 consisted of patients with asthma; Group 2 included patients with both asthma and osteoarthritis, Control group consisted of volunteers. Spirometry, Asthma Quality of Life Questionnaire (AQLQ), Asthma Control Test (АСТ) were used in asthmatic patients. International Physical Activity Questionnaire (IPAQ) in its short from was filled by all the participants. Results. Both Group 1 and Group 2 did not engage in vigorous physical activity. Median of MET-min/week total (1825) was significantly less in Group 2 compared with Control and Group 1 (p=0.0000 and p=0.0169, respectively). MET-min/week total had positive correlations with ACT (r=0.50, p<0.05), AQLQ(S) total (r=0.58, p<0.05), AQLQ(S) activity domain (r=0.28, p<0.05), AQLQ(S) emotions domain (r=0.24, p<0.05), AQLQ (S) symptoms domain (r=0.34, p<0.05), FVC (r=0,28, p<0.05), FEV1 (r=0,37, p<0.05), Index Tiffno (r=0,18, p<0.05). Minutes/week sitting time had a negative correlation with ACT values (r=-0.33, p<0.05), AQLQ(S) total values (r=-0.39, p<0.05). Conclusion. Patients with asthma and osteoarthritis spend significantly less time on moderate activity, walking compared with asthmatics not suffering from osteoarthritis; they avoid vigorous activity. Higher physical activity is associated with better life quality, asthma control and lung function, thus paying attention to osteoarthritis in asthmatic patients is crucial. Key words: life quality, physical activity, asthma, osteoarthritis


2020 ◽  
Vol 66 (4) ◽  
pp. 54-60
Author(s):  
Barbara Janota ◽  
Elżbieta Szczepańska ◽  
Karolina Janion

Abstract Introduction A healthy lifestyle, including healthy eating, frequent physical activity, abstention from recreational substances, appropriate amounts of sleep and restricted amounts of television and computer time have a positive impact on the development and health of adolescents. The aim of the study was to assess selected aspects of adolescent lifestyle with a focus on rates of physical activity. Materials and methods The study material included a questionnaire completed by 304 secondary school students. The answers were analysed with respect to the physical activity of the respondents and then grouped accordingly: group 1 consisted of respondents with a low rate of physical activity, group 2 with a moderate rate of physical activity and group 3 with a high rate of physical activity. Differences in the the percentages of healthy behaviour the groups engaged in was assessed using the Kruskal–Wallis ANOVA on ranks test. Post hoc, a 2-way test with Bonferroni correction was performed. A p value of <0.05 was considered statistically significant for all analyses. Results The recommended number of 4–5 meals a day is consumed mostly by individuals from group 2 (52.94%) and to the least extent by those in group 1 (47.17%). The recommended daily consumption of fruit is mostly reported by respondents from group 3 (39.34%) and the least, by those from group 1 (26.42%). Subjects from group 2 are least likely to drink alcohol, which is harmful for one's health (26.47%); this group also includes the largest number of individuals who do not smoke cigarettes (69.12%). The most favorable behaviour with regards to sleep is displayed by subjects from group 3, in which 10.38% of participants slept for the recommended 8–10 h a day. Conclusions The majority of adolescents, regardless of the frequency of physical activity they undertook, had an unhealthy lifestyle. The most favourable lifestyle was led by subjects who performed physical activity between once a week and a few times a month.


Circulation ◽  
2020 ◽  
Vol 141 (Suppl_1) ◽  
Author(s):  
Maira Tristao Parra ◽  
Meredith A Pung ◽  
Kathleen Wilson ◽  
Christopher Pruitt ◽  
Barry H Greenberg ◽  
...  

Hypothesis: insufficiently active heart failure patients will report poorer QoL, more fatigue and depressive mood compared to active patients. Aims: To characterize clinical characteristics and health-related behaviors according to physical activity (PA). Also, to explore predicting factors of quality of life (QoL). Methods: Cross-sectional analysis of a cohort of Stage B HF patients. PA classification was set as active, moderately active or insufficiently active, according to the LTEQ questionnaire. For QoL, the SF-36 questionnaire was used. ANOVAS, Chi-Square tests or likelihood ratios and unadjusted multiple regression models were calculated. Significance was set at p ≤ 0.05. Results: In this cohort, 277 HF patients completed the PA questionnaire. The prevalence of active patients was higher than moderately active and insufficiently active (53.3% vs 15.2% and 29.6%), respectively. Younger age (p = 0.044), lower waist circumference (WC) (p = 0.002), and lower waist-to-hip ratio (p = 0.046) were associated with being active. The prevalence of Type II diabetes mellitus (T2DM) in the active groups was significantly lower (p = 0.001). Physically active groups had cases of mild LV enlargement (1.4% and 7.5%, respectively), while no cases were observed among insufficiently active patients (p = 0.017). PA was positively associated with less fatigue (p= 0.002), more vigor (p = 0.001), more self-efficacy (p < 0.001), and better quality of life (p = 0.002). Patients who were less physically active had more inflammation (CRP, p = 0.015; IL-6, p <0.001; TNF-α: p = 0.033, and IL-1ra, p = 0.001). WC (β =-0.16, p = 0.008), glucose (β =-0.12, p < 0.001) and fatigue (β = - 0.39, p < 0.001) predicted general health perception (R 2 = 0.449). For physical functioning (high scores reflects performing PA without limitations due to health), WC (β = - 0.28, p = 0.001), sleep (β = - 1.50, p = 0.003) and fatigue (β = - 0.32, p = 0.018) were significant predictors (R 2 = 0.422); while age (β = 0.36, p <0.001) physical activity (β = 0.051, p = 0.055), sleep (β = 0.50, p =0.046), fatigue (β = -0.37, p <0.001) and depression (β = -1.12, p <0.001) predicted emotional well-being (R 2 = 0.696). Conclusion: Physically active heart failure patients had a better anthropometric profile and lower prevalence of T2DM. In this cohort, PA was not a significant predictor for general and physical functioning, but it remained relevant for predicting emotional well-being.


2020 ◽  
Vol 9 (6) ◽  
pp. 1899 ◽  
Author(s):  
Robert Schönbauer ◽  
Michael Lichtenauer ◽  
Vera Paar ◽  
Michael Emich ◽  
Monika Fritzer-Szekeres ◽  
...  

Background: Low levels of soluble tumor necrosis factor-like weak inducer of apoptosis (sTWEAK) were reported in patients with coronary artery disease, heart failure, chronic kidney disease and diabetes mellitus. Soluble cluster differentiation 163 (sCD163) serum levels are related to M2 macrophages, having anti-inflammatory attributes. As sport is well-known for its anti-inflammatory and cardioprotective effects we aimed to investigate the influence of eight months of physical activity on serum sCD163 and sTWEAK levels. Methods: In total, 109 subjects with at least one cardiovascular risk factor were asked to perform endurance training within the calculated training pulse for eight months. Overall, 98 finished the study. The performance gain was measured/quantified by bicycle stress tests at the beginning and end of the observation period. The cohort was divided into four groups, dependent on their baseline performance and performance gain. sCD163 and sTWEAK were measured at baseline and after two, six and eight months by ELISA. Results: Those participants who had a performance gain of ≤2.9% (mean gain 12%) within eight months showed a significant increase in sTWEAK (group 2: from 133 to 200 pg/mL, p = 0.002 and group 4: from 166 to 212 pg/mL, p = 0.031) and sCD163 levels (group 2: from 255 to 348 ng/mL, p = 0.035 and group 4: from 247 to 288 ng/mL, p = 0.025) in contrast to subjects without performance gain (sTWEAK: group 1: from 161 to 177 pg/mL, p = 0.953 and group 3: from 153 to 176 pg/mL, p = 0.744; sCD163: group 1: from 289 to 256 ng/mL, p = 0.374 and group 4: from 291 to 271 ng/mL, p = 0.913). Baseline sCD163 correlated with erythrocyte count, hematocrit, ASAT and lipoprotein a, the presence of hypertension and a BMI > 30 kg/m2. Conclusion: Regular physical activity leads to a significant increase in sCD163 and sTWEAK levels of up to 37% and 50%, respectively. It is well-known that physical activity prevents or retards the onset and genesis of chronic inflammatory disease. One possible way of how training evolves its beneficial effect might be by modifying the inflammation status using the sTWEAK–sCD163 axis. Brief Summary: Regular physical activity leads to a significant increase in sTWEAK and sCD163 levels. Both factors are diminished in patients with chronic (inflammation-based) diseases, such as coronary artery disease, heart failure, pulmonary artery hypertension, chronic kidney disease and diabetes mellitus. It seems that the amounts of soluble TWEAK and CD163 are essential for a healthy balance and modulation between pro- and anti-inflammatory processes, and regular physical training could use the sCD163–sTWEAK axis to unfold its beneficial effect.


2003 ◽  
Vol 25 (4) ◽  
pp. 419-439 ◽  
Author(s):  
Lois Michaud Tomson ◽  
Robert P. Pangrazi ◽  
Glenn Friedman ◽  
Ned Hutchison

While research has confirmed a negative relationship between adult depression and physical activity, there is little evidence for children. This study examined the relationship of being classified as physically active or inactive by a parent or a teacher to depressive symptoms in children 8 to 12 years of age (N = 933). It also assessed the relationship of playing sports outside of school, and of meeting health related fitness standards, to symptoms of depression. Relative risk of depressive symptoms for inactive classification was 2.8 to 3.4 times higher than it was for active, 1.3 to 2.4 times higher for children not playing sports outside of school, and 1.5 to 4.0 times higher for those not meeting health related fitness goals.


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