Physical inactivity is a risk factor for physical activity-related injuries in children

2011 ◽  
Vol 46 (9) ◽  
pp. 669-674 ◽  
Author(s):  
Frank Bloemers ◽  
Dorine Collard ◽  
Mai Chin A Paw ◽  
Willem Van Mechelen ◽  
Jos Twisk ◽  
...  
Keyword(s):  
Physical Activity ◽  
Risk Factor ◽  
Physical Inactivity

scholarly journals Tracking of Maternal Physical Activity and Sport Participation over 11 Years: Findings from the Czech ELSPAC Study

2022 ◽  
Vol 19 (2) ◽  
pp. 705
Author(s):  
Mario Kasović ◽  
Lovro Štefan ◽  
Pavel Piler ◽  
Martin Zvonar
Keyword(s):  
Physical Activity ◽  
Risk Factor ◽  
Strength Training ◽  
Generalized Estimating Equations ◽  
Physical Inactivity ◽  
Sport Participation ◽  
Team Sports ◽  
Racket Sports ◽  
Structured Questionnaire

Purpose: Tracking of physical activity (PA) and sport participation (SP) during motherhood is poorly understood. The purpose of the study was to analyze the extent of tracking of maternal PA and SP. Methods: In this investigation, data were collected from the Czech ELSPAC study subsample of 4811 and 2609 women measured postnatally (1991–1992) and after 11 years of follow-up (2002–2003), respectively. The structured questionnaire was used to assess the participation and average weekly time spent in PA, and the frequency of engaging in different sports (running, cycling, strength training, racket sports, swimming, and team sports). Tracking was calculated using generalized estimating equations (GEE) with beta coefficients (β), odds ratios (ORs), and 95% confidence intervals (95% CI). Results: Moderately high tracking coefficients were observed for cycling (β = 0.69, 95% 0.67–0.72), strength training (β = 0.59, 95% 0.56–0.63), and weekly time spent in PA (β = 0.53, 95% 0.38–0.66); meanwhile, moderate tracking coefficients were generated for swimming (β = 0.48, 95% 0.44–0.52), team sports (β = 0.44, 95% 0.39–0.48), racket sports (β = 0.44, 95% 0.39–0.48), and running (β = 0.35, 95% 0.30–0.40). Mothers who did not participate in PA at baseline were 81% more likely not to participate in it at follow-up (OR = 1.81, 95% CI 1.53–2.13). Conclusion: Cycling- and strength-related activities and weekly PA were tracked moderately-to-moderately high during motherhood. Moreover, the strong tracking of physical inactivity indicates that the detection of this risk factor before pregnancy should be advocated.

Physical activity patterns and socio-demographic correlates of physical activity among medical undergraduates in Sri Lanka: an observational study

2017 ◽  
Vol 94 (1107) ◽  
pp. 32-36 ◽  
Author(s):  
Arjuna Medagama ◽  
Manoj Galgomuwa ◽  
Chinthani De Silva
Keyword(s):  
Physical Activity ◽  
Risk Factor ◽  
Physical Inactivity ◽  
Activity Patterns ◽  
Binary Logistic Regression ◽  
Cross Sectional Study ◽  
Activity Levels ◽  
Cross Sectional ◽  
Demographic Correlates ◽  
Medical Undergraduates

BackgroundPhysical inactivity is the fourth leading risk factor for mortality worldwide and a leading risk factor for type 2 diabetes and cardiovascular disease. Medical undergraduates are a group of young adults expected to have a sound knowledge of the benefits of physical activity (PA) and have an active lifestyle.ObjectiveTo quantifyPA levels among medical undergraduates of a Sri Lankan university and to determine the socio-demographic correlates of physical inactivity.MethodsMedical undergraduates in their third, fourth and fifth years of study were recruited for this quantitative, descriptive, cross-sectional study using a self-administered questionnaire.ResultsA total of 421 students were recruited. Overall 41% were physically inactive. Females (47%) were more inactive than males (34%). The total mean weekly metabolic equivalent (MET)-minutes was 1468.2±1873. Males (1676.2±1629) had a higher mean weekly MET minutes than females (1319±20102), p=0.05. 88% owned a portable internet device such as a smartphone or tablet. Students using health-related apps on their devices had significantly higherPA (p=0.01) and lower body mass index (BMI) (p=0.04), than those who did not. Binary logistic regression revealed physical inactivity to be significantly associated with gender (p=0.01), not using a health-promoting app on their portable device (p=0.01) and the year of study (p=0.03).ConclusionPhysical inactivity is a significant problem among medical undergraduates. The use of health applications was associated with a higher PA and lower BMI. The reasons for inactivity and the discrepancy in activity levels between males and females needs to be explored in greater detail.

Physical Inactivity during Leisure Time among Older Adults—Behavioral Risk Factor Surveillance System, 2005

2008 ◽  
Vol 16 (3) ◽  
pp. 280-291 ◽  
Author(s):  
Judy Kruger ◽  
Sandra A. Ham ◽  
Serena Sanker
Keyword(s):  
Physical Activity ◽  
Older Adults ◽  
Risk Factor ◽  
Surveillance System ◽  
Physical Inactivity ◽  
Leisure Time ◽  
Behavioral Risk ◽  
Behavioral Risk Factor ◽  
Behavioral Risk Factor Surveillance ◽  
Risk Factor Surveillance

Background:Physical inactivity is associated with increased morbidity and mortality. This study provides prevalence estimates of inactivity by select characteristics among older adults.Methods:Respondents ≥50 years of age were selected from the 2005 Behavioral Risk Factor Surveillance System (N = 185,702).Results:Overall, 30.0% of older adults did not engage in leisure-time physical activity. Within each racial/ethnic group, the prevalence of inactivity was highest among Hispanic men (41.9%) and women (42.4%). Among men with and without disabilities, chronic disease conditions associated with inactivity were angina or coronary artery disease. Among women with disabilities, chronic disease conditions associated with inactivity were stroke and diabetes; among women without disabilities only diabetes was significantly associated with inactivity.Conclusion:Regular physical activity is an important means to maintaining independence, because it substantially reduces the risk for developing many diseases; contributes to healthy bones, muscles, and joints; and can reduce the risk for falling. Health care providers are encouraged to discuss concerns regarding physical activity with their patients.

scholarly journals Association between physical activity and obesity in adolescent population in urban areas of Maharashtra

2019 ◽  
Vol 6 (8) ◽  
pp. 3433
Author(s):  
Sanjeev Vasantrao Chincholikar ◽  
Amit Sohani
Keyword(s):  
Physical Activity ◽  
Risk Factor ◽  
Urban Areas ◽  
Physical Inactivity ◽  
Overweight And Obesity ◽  
Main Risk Factor ◽  
Significant Difference ◽  
Systematic Sample ◽  
Overweight Or Obesity

Background: Obesity is a major risk factor in many serious chronic diseases including cardiovascular disease, dyslipidemia, hypertension, type 2 diabetes, some forms of cancer, and osteoarthritis. The lack of physical activity is one of the main risk factor that leads to overweight and obesity. Objective of the study was to determine the association of obesity with physical activity.Methods: The study was carried out in 4 institutions (3 schools and 1 college) of semi-urban area of Maharashtra from Jan 2013 to Jan 2014. 585 students were selected by systematic sample i.e. every 3rd student was included in the study sample. A pretested standardized questionnaire was used. Body mass index was calculated by dividing the weight in kilogram by square of height in meter.Results: The subjects were asked regarding use of gym facility for exercise, it was found 26.21% subjects, who did not have exercise, had either overweight or obesity. It was also observed that 26.15% study subjects who daily walk less than a kilometer had either overweight or obesity. There was statistically significant difference between physical inactivity and prevalence of overweight as well as obesity.Conclusions: The subjects were asked regarding use of gym facility for exercise, it was found 26.21% subjects, who did not have exercise, had either overweight or obesity. It was also observed that 26.15% study subjects who daily walk less than a kilometre had either overweight or obesity. There was statistically significant difference between physical inactivity and prevalence of overweight as well as obesity.

scholarly journals Recent advances in the link between physical activity, sedentary behavior, physical fitness, and colorectal cancer

F1000Research ◽  
2017 ◽  
Vol 6 ◽  
pp. 199 ◽  
Author(s):  
Vikneswaran Namasivayam ◽  
Sam Lim
Keyword(s):  
Physical Activity ◽  
Colorectal Cancer ◽  
Risk Factor ◽  
Risk Stratification ◽  
Physical Fitness ◽  
Sedentary Behavior ◽  
Cardiorespiratory Fitness ◽  
Physical Inactivity ◽  
Established Risk Factor ◽  
Potential Tool

Physical inactivity is a well-established risk factor for colorectal cancer (CRC). Recent studies have characterized physical activity (PA), sedentary behavior, and cardiorespiratory fitness as distinct, interrelated constructs that influence the risk of CRC and related outcomes. PA levels required to confer protection against CRC may be higher than previously thought. Sedentary behavior, defined as time spent sitting, increases CRC risk independent of PA and may require novel interventions distinct from those targeting PA. Finally, cardiorespiratory fitness is inversely associated with CRC risk and mortality and may provide a potential tool for risk stratification and intervention.

The Effectiveness of a General-Practice-Based Physical Activity Intervention on Patient Physical Activity Status

1994 ◽  
Vol 11 (3) ◽  
pp. 132-144 ◽  
Author(s):  
Peita Graham-Clarke ◽  
Brian Oldenburg
Keyword(s):  
Physical Activity ◽  
Risk Factors ◽  
Cardiovascular Disease ◽  
General Practice ◽  
Risk Factor ◽  
Clinical Setting ◽  
Physical Inactivity ◽  
Physical Activity Intervention ◽  
Disease Risk ◽  
Cardiovascular Disease Risk

Physical inactivity is a risk factor for a number of chronic diseases, including cardiovascular disease. Interventions designed to reduce the prevalence of physical inactivity have focused primarily on either adoption of physical activity or noncompliance and relapse, and no interventions have been reported which cover adoption, compliance, maintenance, and relapse, particularly within the clinical setting. TheFresh Startprogram, a multiple risk factor intervention program for the reduction of cardiovascular disease risk factors in general practice patients, was developed to cover all aspects of the adoption and maintenance of habitual physical activity, using Prochaska and DiClemente's Transtheoretical model. The evaluation of the program on cardiovascular disease risk factors and behaviours provided the opportunity to evaluate the impact of a staged program on patient physical activity behaviour. The program was evaluated in a randomised controlled trial in Sydney's Western, South-western, and Wentworth regions with 80 volunteer general practitioners and 758 volunteer patients between January 1991 and January 1993. Self-reported physical activity data were used as the basis for estimating energy expenditure due to leisure-time physical activity. The results failed to show any differences between groups over time, as a function of patients' baseline stages of change, and as a function of baseline activity levels. There were some indications, however, that the least active would respond to doctor-based advice to increase their physical activity, and that doctor advice would lead to a progression inintention to changein approximately 20% of patients. Limitations of the study, the program, and physical activity intervention in the clinical setting are discussed.

scholarly journals Physical Inactivity: A Modifiable Risk Factor for Morbidity and Mortality in Kidney Transplantation

2021 ◽  
Vol 11 (9) ◽  
pp. 927
Author(s):  
Claudio Ponticelli ◽  
Evaldo Favi
Keyword(s):  
Physical Activity ◽  
Risk Factor ◽  
Physical Exercise ◽  
Physical Inactivity ◽  
Current Knowledge ◽  
Significant Risk ◽  
Significant Risk Factor ◽  
Positive Feedbacks ◽  
Exercise Load ◽  
Regular Physical Exercise

In patients with chronic kidney disease, sedentary behavior is widely recognized as a significant risk factor for cardiovascular disease, diabetes, obesity, osteoporosis, cancer, and depression. Nevertheless, the real impact of physical inactivity on the health of kidney transplant (KT) recipients remains uncertain. Over the last decade, there has been a renewed interest in exploring the effects of regular physical exercise on transplant-related outcomes. There is now mounting evidence that physical activity may reduce the burden of cardiovascular risk factors, preserve allograft function, minimize immunosuppression requirement, and ameliorate the quality of life of KT recipients. Many positive feedbacks can be detected in the early stages of the interventions and with a minimal exercise load. Despite these encouraging results, the perceived role of physical activity in the management of KT candidates and recipients is often underrated. The majority of trials on exercise training are small, relatively short, and focused on surrogate outcomes. While waiting for larger studies with longer follow-up, these statistical limitations should not discourage patients and doctors from initiating exercise and progressively increasing intensity and duration. This narrative review summarizes current knowledge about the deleterious effects of physical inactivity after KT. The benefits of regular physical exercise are also outlined.

Hypodynamia of the population and ways to overcome it

2020 ◽  
pp. 55-62
Author(s):  
Liana Mavrina ◽  
Lilia Timeriyanova
Keyword(s):  
Physical Activity ◽  
Risk Factor ◽  
Human Health ◽  
Mental State ◽  
Physical Inactivity ◽  
Statistical Data ◽  
Important Risk Factor ◽  
Literary Materials

The relevance of the problem. The article considers one of the most important problems of humankind — physical inactivity, which is an important risk factor for the development of various diseases. Aim. To study the effect of physical inactivity on human health. Materials and methods. To achieve this goal, statistical data and literary materials related to this topic were studied in the works of domestic and foreign scientists. Results. Many scientific works are devoted to the problem of physical inactivity. Modern research has proved that physical activity is the most important component of health, and its absence negatively affects both the physical and mental state of a person. Conclusion. The fight against physical inactivity will help prevent many different diseases and raise healthy offspring.

scholarly journals The role of physical activity in primary stroke ­prevention

2019 ◽  
Vol 67 (4) ◽  
Keyword(s):  
Physical Activity ◽  
Risk Factors ◽  
Heart Failure ◽  
Atrial Fibrillation ◽  
Risk Factor ◽  
Sleep Apnea ◽  
Primary Prevention ◽  
Beneficial Effect ◽  
Physical Inactivity

Physical inactivity is a known risk factor for stroke. The interaction between exercise and risk of stroke is complex. Physical activity has a beneficial effect on most risk factors for stroke, which may show reciprocal potentiation (e.g. obesity, sleep apnea, atrial fibrillation). Advice on physical activity is of importance in primary prevention of stroke. Hereby, type, amount and intensity of physical activity may be distinguished and adjusted according to comorbidities (e.g. in case of heart failure).

scholarly journals A Qualitative Study of the Achievement Goals of Recreational Exercise Participants

2015 ◽  
Author(s):  
Helen Rogers ◽  
Tony Morris ◽  
Melissa Moore
Keyword(s):  
Physical Activity ◽  
Risk Factor ◽  
Achievement Goals ◽  
Physical Inactivity ◽  
Self Determination Theory ◽  
Self Determination ◽  
Future Research ◽  
First Order ◽  
Extrinsic Goals ◽  
Recreational Exercise

Physical inactivity is a major risk factor for many of today’s leading causes of ill health. In-order to increase physical activity (PA) participation and information about why people engage in PA is needed. We interviewed 11 recreational exercise participants to examine their goals for participating in recreation al exercise. Our results revealed 13 first-order themes, which we reduced to seven second-order themes (personal comparison, extrinsic rewards, social, physical condition, psychological condition, mastery, and enjoyment), and two general dimensions (intrinsic and extrinsic goals). We argue that self- determination theory (SDT) of motivation provides a strong foundation for understanding the goals and motives for recreational exercise. Also, future research should aim to develop a more comprehensive measure of motivation in recreational exercise and sport contexts.

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