Predictors of perceived barriers to physical activity in the general adult population: a cross-sectional study

Herazo-Beltrán, Yaneth; Pinillos, Yisel; Vidarte, José Armando; Crissien, Estela; Suarez, Damaris; Garcia, Rafael Ferreira

doi:10.1016/j.bjpt.2016.04.003

Cited by 127 publications

(124 citation statements)

References 21 publications

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“…Other studies, however, indicate socioeconomic status, marital status, educational level, and self-perceived health as factors that influence the motivation to perform physical exercise [25]. In fact, the practice of physical exercise is a complex and multidimensional behaviour determined by numerous biological, psychological, sociocultural, and environmental factors [26].…”

Section: Introductionmentioning

confidence: 99%

Gender Differences in Motivation and Barriers for The Practice of Physical Exercise in Adolescence

Portela-Pino

Castedo

Martínez-Patiño

et al. 2019

IJERPH

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A total of 852 adolescents between 12 and 17 years of age were evaluated (M = 14.86, SD = 1.67), randomly selected among a population of secondary school and Baccalaureate students. We applied an “ad hoc” questionnaire on sociodemographic data and the Self-Report of Reasons for the Practice of Physical Exercise (AMPEF) and Self-Report of Barriers to the Practice of Physical Exercise (ABPEF) questionnaires. The results obtained show a prevalence of competition, social recognition, and challenge as motivational factors, and fatigue or laziness as barriers to physical exercise among adolescents. With respect to gender, boys show a greater presence of motivations towards doing physical exercise, while girls show more barriers. In conclusion, the motivational factors and barriers interact and support each other for a better predisposition towards physical exercise.

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Section: Introductionmentioning

confidence: 99%

Gender Differences in Motivation and Barriers for The Practice of Physical Exercise in Adolescence

Portela-Pino

Castedo

Martínez-Patiño

et al. 2019

IJERPH

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“…Kruger et al, reported larger improvements in VO 2 peak (+2.9 mL/kg/min vs + 1.7 mL/kg/min) in those that complied with the intervention, suggesting that adherence to exercise is key to improving outcomes. However, several barriers to exercise (ie social economic status, age, time commitment, social support etc) have been reported in healthy populations and these barriers are amplified further in patients with CLD who have numerous additional barriers (Figure ). It would seem plausible that learning how to overcome these barriers is essential to maintain adherence to exercise interventions, yet the method in which to achieve this remains a challenge.…”

Section: Adherence To Exercisementioning

confidence: 99%

“…Kruger et al, 26 reported larger improvements in VO 2 peak (+2.9 mL/kg/min vs + 1.7 mL/kg/min) in those that complied with the intervention, suggesting that adherence to exercise is key to improving outcomes. However, several barriers to exercise (ie social economic status, age, time commitment, social support etc) have been reported in healthy populations 44…”

Section: Adheren Ce To E Xercis Ementioning

confidence: 99%

Review article: impact of exercise on physical frailty in patients with chronic liver disease

Williams

Berzigotti

Lord

et al. 2019

Aliment Pharmacol Ther

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Summary Background Physical frailty is common in chronic liver disease and the setting of liver transplantation. It is associated with poor quality of life, increased hospitalisation and mortality. Despite this, the impact of exercise in these patients remains poorly understood. Aim To summarise the impact of physical exercise on physical frailty in patients with chronic liver disease until after liver transplantation. Methods A MEDLINE and PubMed search was undertaken using the terms; “physical activity”, “functional capacity”, “exercise”, “prehabilitation”, “frailty”, “liver cirrhosis”, “liver failure”, “liver transplantation” “chronic liver disease” and “end‐stage liver disease” from January 1990 to June 2019. Results Eleven studies (five randomised controlled, five observational, one case study) demonstrated that exercise improves VO2 peak, anaerobic threshold, 6‐minute walk distance, muscle mass/function and quality of life in patients with compensated and decompensated cirrhosis. Improvements were most significant with a combination of aerobic and resistance exercises at moderate‐high intensity. The studies were small (n = 1‐50) and mainly focused on supervised, hospital‐based exercises, excluding patients with significant liver failure (MELD > 12). Seven studies (four randomised controlled and three observational) demonstrated that predominantly supervised (only one home‐based) aerobic exercise after liver transplantation improves aerobic capacity, muscle mass/strength and quality of life. There was marked heterogeneity in timing, intensity and type of exercises. Conclusion Exercise improves key components of physical frailty (functional/aerobic capacity, sarcopenia) and quality of life in chronic liver disease and after liver transplantation. Understanding the type, compliance, intensity and duration of exercise and its impact on hard clinical outcomes should be the focus of future large controlled clinical trials.

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“…The FITT characteristic most commonly manipulated is “time” . In particular, high‐intensity interval training (HIIT) has become popular, not least because HIIT training tends to be of shorter duration and the most commonly cited barrier to exercise participation is a lack of time . However, HIIT also manipulates time and removal of a barrier to exercise, either perceived or real, may not translate to increased adherence.…”

Section: Introductionmentioning

confidence: 99%

The effects of manipulation of Frequency, Intensity, Time, and Type (FITT) on exercise adherence: A meta‐analysis

et al. 2020

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This meta-analysis quantified the effect of FITT (frequency, intensity, time, and type) manipulation on exercise adherence. Databases were searched from inception to 09-2018. Manipulation of intensity resulted in a moderate, significant decrease in adherence (MD: −3.3, 95% CI: −6.1 to −0.5), and for the remaining FITT components, there were trivial-small, non-significant effects. When stratified by chronic disease status, for populations with chronic diseases increasing Intensity resulted in a moderate but non-significant decrease in adherence (MD: −3.6, 95% CI: −7.4, 0.3) and increasing time resulted in a small, significant decrease in exercise adherence (MD: −4.9, 95% CI: −9.4 to −0.4). Additionally, omission of a behavioral model resulted in a moderate but non-significant decrease in exercise adherence (MD: −4.0, CI: −8.3 to 0.2). For healthy populations, FITT manipulation and omission of behavioral model resulted in trivial-small, non-significant effects. In conclusion, manipulation of FITT and use of behavioral models may be of greater importance to exercise adherence in diseased population. In particular, increasing intensity and time and omitting a behavioral model may decrease adherence. The current meta-analysis elucidates gaps in the literature and can assist clinicians and clinical exercise physiologists in determining the importance of FITT manipulation to exercise adherence. K E Y W O R D S adherence, behavioral model, chronic disease, exercise prescription, physical activity | 223 BURNET ET al.

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Predictors of perceived barriers to physical activity in the general adult population: a cross-sectional study

Cited by 127 publications

References 21 publications

Gender Differences in Motivation and Barriers for The Practice of Physical Exercise in Adolescence

Gender Differences in Motivation and Barriers for The Practice of Physical Exercise in Adolescence

Review article: impact of exercise on physical frailty in patients with chronic liver disease

The effects of manipulation of Frequency, Intensity, Time, and Type (FITT) on exercise adherence: A meta‐analysis

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