The Influence of Some Psycho-social Factors on Physical Activity among Female Students Between the Ages of 11 and 14

2014 ◽  
Vol 2014 (2) ◽  
pp. 35-41
Author(s):  
Agim Redjepi ◽  
◽  
Serjoza Gonatarev ◽  
Lyudmil Petrov ◽  
Magdalena Damijanovska ◽  
...  
Keyword(s):  
Physical Activity ◽  
Social Factors ◽  
Female Students

scholarly journals Physical Activity Behavior from a Transdisciplinary Biopsychosocial Perspective: a Scoping Review

2020 ◽  
Vol 6 (1) ◽  
Author(s):  
Jannika M. John ◽  
Vanessa Haug ◽  
Ansgar Thiel
Keyword(s):  
Physical Activity ◽  
Scoping Review ◽  
Social Factors ◽  
Biopsychosocial Model ◽  
Scientific Work ◽  
Physical Activity Behavior ◽  
Biopsychosocial Approach ◽  
Scoping Reviews ◽  
Activity Behavior ◽  
Biopsychosocial Perspective

Abstract Background Physical activity behavior is a complex and multidimensional phenomenon. For its analysis, transdisciplinary biopsychosocial approaches yield great potential. In health research, the biopsychosocial model has experienced a renaissance. Researchers have tried to grasp the complex interplay of biological, psychological, and social factors. With this scoping review, we aimed to examine how the ‘biopsychosocial’ has been conceptualized in scientific work related to physical activity behavior. Methods The scoping review was informed by the PRISMA guidelines for scoping reviews (PRISMA-ScR). A systematic literature search was conducted in Web of Science, SportDiscus, PsycArticles, PsycInfo, and PubMed. Only articles published in peer-reviewed journals that contained all three components of a biopsychosocial approach (e.g., bio/physio/genetic, psycho/mental, and socio/cultural/environmental) were included. We only included articles in our narrative synthesis that integrated physical activity behavior into a biopsychosocial model, or investigated or described physical activity behavior on the basis of such a model. Results Thirteen studies met the inclusion criteria; eight articles pursued a biopsychosocial approach in the tradition of Engel, five employed a socio-ecological approach. The models in the analyzed articles referred to either correlates of physical activity behavior, or the influence of physical activity on health or aging. Only a minority of the articles, however, referred to interactions between biological, psychological, and social factors. Conclusions The included articles were quite heterogeneous in their approach to physical activity from a biopsychosocial perspective. The included articles illustrate that the adoption of a biopsychosocial perspective may assist to capture and understand the complex phenomenon of physical activity behavior and might inform future transdisciplinary physical activity research.

Personal and social factors that influence physical activity levels in community-dwelling stroke survivors: A systematic review of qualitative literature

2021 ◽  
pp. 026921552199369
Author(s):  
Karl R Espernberger ◽  
Natalie A Fini ◽  
Casey L Peiris
Keyword(s):  
Physical Activity ◽  
Social Factors ◽  
Self Efficacy ◽  
Data Extraction ◽  
Community Dwelling ◽  
Stroke Survivors ◽  
Activity Levels ◽  
Post Stroke ◽  
Physical Activity Levels ◽  
Mobile Community

Objectives: To determine the personal and social factors perceived to influence physical activity levels in stroke survivors. Data sources: Four electronic databases (MEDLINE, CINAHL, PubMed and Embase) were searched from inception to November 2020, including reference and citation list searches. Study selection: The initial search yielded 1499 papers, with 14 included in the review. Included articles were peer-reviewed, qualitative studies, reporting on the perceived factors influencing physical activity levels of independently mobile community-dwelling adults, greater than 3 months post stroke. Data extraction: Data extracted included location, study aim, design, participant and recruitment information and how data were collected and analysed. Data synthesis: Thematic analysis was undertaken to identify meanings and patterns, generate codes and develop themes. Five main themes were identified: (i) Social networks are important influencers of physical activity; (ii) Participation in meaningful activities rather than ‘exercise’ is important; (iii) Self-efficacy promotes physical activity and physical activity enhances self-efficacy; (iv) Pre-stroke identity related to physical activity influences post-stroke physical activity; and (v) Formal programmes are important for those with low self-efficacy or a sedentary pre-stroke identity. Conclusions: Physical activity levels in stroke survivors are influenced by social activities and support, pre-stroke identity, self-efficacy levels and completion of activities that are meaningful to stroke survivors.

Difference, Adapted Physical Activity and Human Development: Potential Contribution of Capabilities Approach

2012 ◽  
Vol 29 (1) ◽  
pp. 25-43 ◽  
Author(s):  
Carla Filomena Silva ◽  
P. David Howe
Keyword(s):  
Physical Activity ◽  
Social Factors ◽  
Capabilities Approach ◽  
Self Determination ◽  
Human Potential ◽  
Potential Contribution ◽  
Adapted Physical Activity ◽  
Best Interest ◽  
Ethical Guidelines ◽  
Psychological Dimensions

This paper is a call to Adapted Physical Activity (APA) professionals to increase the reflexive nature of their practice. Drawing upon Foucault’s concept of governmentality (1977) APA action may work against its own publicized goals of empowerment and self-determination. To highlight these inconsistencies, we will draw upon historical and social factors that explain the implicit dangers of practice not following policy. We propose that APA practitioners work according to ethical guidelines, based upon a capabilities approach (Nussbaum, 2006, 2011; Sen, 2009) to counteract possible adverse effects of APA practitioner action. A capabilities approach is conducive to the development of each individual’s human potential, by holistically considering the consequences of physical activity (i.e., biological, cultural, social, and psychological dimensions). To conclude, this paper will offer suggestions that may lead to an ethical reflection aligned with the best interest of APA’s users.

scholarly journals Lifestyle of Students Studying in the Specialty «Nursing»

2017 ◽  
pp. 131-134 ◽  
Author(s):  
Nataliia Semenova ◽  
Romana Sirenko ◽  
Maryana Ripak ◽  
Liubov Chekhovska
Keyword(s):  
Physical Activity ◽  
Medical Care ◽  
Young Men ◽  
Female Students ◽  
After School ◽  
Care Needs ◽  
The Future ◽  
Alcoholic Drinks ◽  
Medical Colleges

The article analyzes the lifestyle of students studying in the specialty «Nursing». Among students of medical colleges there was conducted a survey, which was attended by young men (n = 10) and women (n = 106), aged 15 to 21 years. The study revealed a small number of students who smoke cigarettes, but alcohol and low alcoholic drinks were consumed by about 73 % of female students, of which 28 people were underage. There was discovered low physical activity among students after school - 107,08 ± 14,9 min. per week, which is about 15 minutes. for a day. It is already stated, that the lifestyle of students studying with a speciality called «Medical care» needs a constant and purposeful forming during the whole learning period.The realizing of the importance of health preservation for patients and first of all for yourself the change of students attitude according to the lifestyle and forming of the value relation to own health – all of it will promote a success full realization of social and professional functions of the future nurses.

scholarly journals BMI of students of School of Sport – facts and self-assessment in the context of physical activity and parents’ education. Long-standing research

2017 ◽  
Vol 9 (1) ◽  
pp. 55-62
Author(s):  
EWA WÓJTOWICZ ◽  
BARBARA DUDA-BIERNACKA
Keyword(s):  
Physical Activity ◽  
Statistical Analysis ◽  
Body Height ◽  
Logistic Models ◽  
Research Process ◽  
Female Students ◽  
Full Time ◽  
Test Analysis ◽  
Nutrition Disorders ◽  
Lower Height

The objective of this study is self-recorded BMI among 20-year-old female students in the context of their physical activity, weight, body height, parent’s education and the time factor. Statistical analysis of the data was based on anthropometric measurements and a survey conducted among female students (N = 1,394) from the first year of full-time studies at the Gdansk University of Physical Education and Sport (AWFiS) in the years 2003–2010. The relationship between variables and logistic models was analyzed (Student’s test, Duncan’s test, analysis of variance, logistic regression). Statistical analysis was conducted using Statistica 6.0 software. At the background of the research results it may be claimed that incorrect self-reported BMI favors sport (OR = 0.71), father’s elementary or basic vocational education (OR = 1.44), higher weight (OR = 0.90) and BMI (OR = 0.76) and lower height (OR = 1.07). 29.77% women did not evaluate their BMI correctly during the whole 8-year research process. The correct BMI was reported by 70.23% of the students; 26.76% overestimated their BMI and 3.01% underestimated it. A high percentage of women who practice sport and who incorrectly determined their own BMI (31.25%) is disquieting, including 8.82% of the students who underestimated their BMI, and 91.18% who overestimated it. Failure to correctly evaluate BMI may lead to nutrition disorders, low self-esteem and serious health consequences. It is reasonable to develop regular and skillful evaluation of BMI among young people by institutions and people involved in health promotion.

scholarly journals PO-236 Associations between sleep quality of college students and different measures of obesity: A cross-sectional study

2018 ◽  
Vol 1 (5) ◽  
Author(s):  
Guangyu Wang ◽  
Mei Zhen Zhang
Keyword(s):  
Physical Activity ◽  
Waist Circumference ◽  
Sleep Quality ◽  
Sleep Duration ◽  
Body Fat ◽  
Positive Association ◽  
Female Students ◽  
Male Students ◽  
Body Fat Percentage ◽  
Fat Percentage

Objective The majority studies focused on obesity prevention on physical activity and eating behavior. However, epidemiological studies have shown that sleep duration and sleep quality could be an adjustable risk factor for obesity. The aim of this study was to examine the associations of sleep quality with different measurement of obesity in Chinese university students. Methods A total of 481 college students aged 18-25 years volunteered to participate in this study. Sleep quality was assessed by Pittsburgh Sleep Quality Index （PSQI）questionnaire. International Physical Activity Questionnaire （IPAQ）was used to determine the physical activity, Psychological status was assessed by Self-Rating Depression Scale （SDS） and Self-Rating Anxiety Scale (SAS). Body height, weight and waist circumference are measured by a trained researcher. Body composition was evaluated by a bio-impedance device (InBody 230, South Korea). Independent sample t test was applied to compare the sleep characteristics, physical activity, obesity, depression and anxiety in different gender students. The associations among the dependent variables BMI, body fat percentage, and the independent variables age, sleep quality and sleep durations was examined using Multiple linear regression models. SPSS 22.0 (IMB SPSS Inc) was used for all statistical. Results The BMI (22.9±3.4 vs 21.6±3.2, p＜0.001) of male students were significantly higher than that of female, but the percentage of body fat (18.7±6.9 vs 29.7±7.0, p＜0.001) was lower than that of female. We observed a positive association between sleep quality and body fat percentage (β = 0.166, P = 0.037), and a negative association with age (β = -0.166, P = 0.008) in female students. Sleep quality was associated positively with BMI (β = 0.360, P＜0.001), body fat percentage (β = 0.260, P＜0.001), and age (β = 0.215, P＜0.001) in male students; An inverse correlation between sleep duration and BMI (β = -0.141, P = 0.015), body fat percentage (β = -0.134, P = 0.022) was found, and a positive relationship with  anxiety scores (β = 0.331, P＜0.001) in male students. while an inverse relationship was found with WHR (β = -0.236, P = 0.001), waist circumference (β = -0.169, P = 0.007), and a positive association between sleep duration with anxiety scores (β = 0.331, P＜0.001) and depression scores (β = 0.415, P＜0.001) in female students. Conclusions The obesity of male and female students goes up with the increase of total score of sleep quality, anxiety and depression, and goes down with the increase of sleep duration, physical activity time and energy consumption. Male obesity increases with age, but female obesity decreases with age. Among the importance of males' sleep duration and sleep quality in the obesity risk assessment, BMI and body fat percentages are more accurate, while for females, BMI and waist circumference is of no statistical significance.  

scholarly journals FAKTOR RISIKO KESEGARAN JASMANI SISWI SMA MUHAMMADIYAH 1 PONOROGO Risk Factors of Physical Fitness among Female Student in Muhammadiyah 1 Ponorogo High School

2020 ◽  
Vol 15 (2) ◽  
pp. 73
Author(s):  
Ikanov Safitri ◽  
R. Bambang Wirjatmadi
Keyword(s):  
Physical Activity ◽  
Risk Factors ◽  
High School ◽  
Haemoglobin Level ◽  
Case Control Study ◽  
Female Students ◽  
Chi Square ◽  
Low Protein ◽  
Chi Square Test ◽  
Control Study

Physical fi tness is the ability of each individual to carry out various daily activities without feeling fatigue. Physical fi tness is useful as a supporting capacity for the physical activity of children therefore it is expected to improve their health and achievement. Factors that infl uence physical fi tness include genetics, age, gender, physical activity, nutritional status, food intake, haemoglobin level, resting time and smoking habits. The purpose of this study was to analyze the risk factors of physical fi tness among female students in Muhammadiyah 1 Ponorogo High School. This case control study included 50 female students and divided into 25 cases and 25 controls. Chi-Square test was used to analyze the relationships between variables. The results showed that there was an association between protein adequacy (p=0.023) OR = 11.3 and haemoglobin levels (p=0.049) OR = 9.3 with physical fi tness. While the adequacy of iron (p=0.345) did not associated with physical fi tness. Student with low protein adequacy and haemoglobin level have respectively 11.3 and 9.3 times higher risk of having low physical fi tness than student with good protein adequacy and haemoglobin level.

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