The impact of fear of falling on leisure-time physical activity in multiple sclerosis

2018 ◽  
Author(s):  
Alon Kalron
Keyword(s):  
Physical Activity ◽  
Multiple Sclerosis ◽  
Leisure Time ◽  
Fear Of Falling ◽  
Leisure Time Physical Activity ◽  
The Impact

Fear of falling, not falls, impacts leisure-time physical activity in people with multiple sclerosis

2018 ◽  
Vol 65 ◽  
pp. 33-38 ◽  
Author(s):  
Alon Kalron ◽  
Roy Aloni ◽  
Uri Givon ◽  
Shay Menascu
Keyword(s):  
Physical Activity ◽  
Multiple Sclerosis ◽  
Leisure Time ◽  
Fear Of Falling ◽  
Leisure Time Physical Activity

scholarly journals Impact of first and second eye cataract surgery on physical activity: a prospective study

BMJ Open ◽  
2019 ◽  
Vol 9 (3) ◽  
pp. e024491 ◽  
Author(s):  
Lynn B Meuleners ◽  
Ying Ru Feng ◽  
Michelle Fraser ◽  
Kate Brameld ◽  
Kyle Chow
Keyword(s):  
Physical Activity ◽  
Older Adults ◽  
Cataract Surgery ◽  
Leisure Time ◽  
Leisure Time Physical Activity ◽  
Vigorous Physical Activity ◽  
Moderate Physical Activity ◽  
Bilateral Cataract ◽  
Eye Surgery ◽  
The Impact

ObjectivesTo investigate the impact of first eye and second eye cataract surgery on the level of physical activity undertaken by older adults with bilateral cataract.DesignProspective cohort study.SettingThree public ophthalmology clinics in Western Australia.ParticipantsFifty-five older adults with bilateral cataract aged 55+ years, awaiting first eye cataract surgery.Outcome measuresThe primary outcome measure was participation in moderate leisure-time physical activity. The secondary outcomes were participation in walking, gardening and vigorous leisure-time physical activity. Participants completed a researcher-administered questionnaire, containing the Active Australia Survey and visual tests before first eye cataract surgery, after first eye surgery and after second eye surgery. A Generalised Estimating Equation linear regression model was undertaken to analyse the change in moderate leisure-time physical activity participation before first eye surgery, after first eye surgery and after second eye surgery, after accounting for relevant confounders.ResultsParticipants spent significantly less time per week (20 min) on moderate leisure-time physical activity before first eye cataract surgery compared with after first eye surgery (p=0.04) after accounting for confounders. After second eye cataract surgery, participants spent significantly more time per week (32 min) on moderate physical activity compared with after first eye surgery (p=0.02). There were no significant changes in walking, gardening and vigorous physical activity throughout the cataract surgery process.ConclusionFirst and second eye cataract surgery each independently increased participation in moderate leisure-time physical activity. This provides a rationale for timely first and second eye cataract surgery for bilateral cataract patients, even when they have relatively good vision.

scholarly journals Association between leisure-time physical activity and the risk of chronic diseases

2019 ◽  
Vol 29 (Supplement_4) ◽  
Author(s):  
A Dedele ◽  
A Miskinyte
Keyword(s):  
Physical Activity ◽  
Chronic Diseases ◽  
High Intensity ◽  
Leisure Time ◽  
Leisure Time Physical Activity ◽  
Adult Population ◽  
World Health ◽  
Health Study ◽  
Moderate Intensity ◽  
The Impact

Abstract Background According to the World Health Organization, non-communicable diseases or chronic diseases, account for 71 percent of all deaths globally, affecting individuals of all age groups and countries. Epidemiological studies have shown an association between a lack of physical activity (PA) and the risk of raised blood pressure, increased body mass index and obesity that can lead to chronic diseases. Methods The aim of the study was to assess the relationship between leisure-time PA and the risk of chronic diseases among adult population. We conducted a cross-sectional study of 470 men and 641 women who participated in “The Impact of Sustainable Mobility, Physical Activity and Environmental Factors on Urban Population Health Study (ISMA)” in Lithuania. Leisure-time PA was self-reported and divided into three levels: low, moderate and high. Logistic regression was used to estimate adjusted odds ratios (ORs) of chronic diseases according to leisure-time PA. Results More than half (55%) of the study population engaged in a moderate intensity PA and 12% of participants engaged in a high intensity leisure-time PA. Men 1.6 times more often than women reported engaging in a high intensity PA in leisure time (p = 0.004). Adults who engaged in low intensity leisure-time PA had almost 3 times (OR = 2.91; 95% confidence interval (CI) 1.62-5.24) higher risk of chronic diseases, whereas those adults who reported moderate intensity leisure-time PA had an OR of 1.63 (95% CI 0.92-2.87) compared to individuals who engaged in a high-level PA. Conclusions Our findings suggest that high levels of leisure-time PA could reduce the risk of chronic diseases and this effect was significantly stronger in men. Key messages Global decline in PA is related to inaction during leisure time and sedentary behaviour at work and at home that has a major health impact worldwide. High levels of leisure-time PA are important factor for chronic disease prevention.

How Do Different Occupational Factors Influence Total, Occupational, and Leisure-Time Physical Activity?

2015 ◽  
Vol 12 (2) ◽  
pp. 200-207 ◽  
Author(s):  
Corneel Vandelanotte ◽  
Camille Short ◽  
Matthew Rockloff ◽  
Lee Di Millia ◽  
Kevin Ronan ◽  
...  
Keyword(s):  
Physical Activity ◽  
Leisure Time ◽  
Leisure Time Physical Activity ◽  
Total Physical Activity ◽  
Activity Levels ◽  
Full Time ◽  
Cross Sectional ◽  
Time Activity ◽  
Physical Activity Levels ◽  
The Impact

Background:A better understanding of how occupational indicators influence physical activity levels will aid the design of workplace interventions.Methods:Cross-sectional data were collected from 1194 participants through a telephone interview in Queensland, Australia. The IPAQ-long was used to measure physical activity. Multiple logistic regression was applied to examine associations.Results:Of participants, 77.9% were employed full-time, 32.3% had professional jobs, 35.7% were engaged in shift work, 39.5% had physically-demanding jobs, and 66.1% had high physical activity levels. Participants with a physicallydemanding job were less likely to have low total (OR = 0.25, 95% CI = 0.17 to 0.38) and occupational (OR = 0.17, 95% CI = 0.12 to 0.25) physical activity. Technical and trade workers were less likely to report low total physical activity (OR = 0.44, 95% CI = 0.20 to 0.97) compared with white-collar workers. Part-time (OR = 1.74, 95% CI = 1.15 to 2.64) and shift workers (OR = 1.86, 95% CI = 1.21 to 2.88) were more likely to report low leisure-time activity.Conclusions:Overall, the impact of different occupational indicators on physical activity was not strong. As expected, the greatest proportion of total physical activity was derived from occupational physical activity. No evidence was found for compensation effects whereby physically-demanding occupations lead to less leisure-time physical activity or vice versa. This study demonstrates that workplaces are important settings to intervene, and that there is scope to increase leisure-time physical activity irrespective of occupational background.

Estimating leisure-time physical activity energy expenditure in the Canadian population: a comparison of 2 methods

2009 ◽  
Vol 34 (4) ◽  
pp. 666-672 ◽  
Author(s):  
Shirley N. Bryan ◽  
Peter T. Katzmarzyk
Keyword(s):  
Physical Activity ◽  
Energy Expenditure ◽  
Leisure Time ◽  
Leisure Time Physical Activity ◽  
Canadian Community Health Survey ◽  
Physical Activity Energy Expenditure ◽  
Cross Sectional ◽  
Statistics Canada ◽  
The Impact ◽  
Activity Energy

The purpose of this study was to determine the impact of 2 different calculation methods for total leisure-time physical activity energy expenditure (LTPAEE) and LTPAEE from different intensity activities on the classification of level of physical activity in the population. Nationally representative cross-sectional data from the Canadian Community Health Survey Cycle 4.1 (2007) were used for this study (N = 64 397). LTPAEE was calculated using a metabolic equivalent (MET) value of 4.0 for all activities in the “other activity” category for method 1 (currently employed by Statistics Canada) and using activity-specific MET values for method 2. The weighted prevalence and 95% confidence intervals of active (≥3  kcal·kg–1·day–1 (kkd)), moderately active (1.5–2.9 kkd), and inactive (<1.5 kkd) were determined for each method by demographic characteristics. The agreement between the 2 methods was assessed overall, and for light, moderate, and vigorous activities. There was no difference between methods in the proportion classified as active, moderately active, or inactive for any of the subgroups studied and there was no difference in the distribution or mean LTPAEE between methods. However, assessment of the agreement showed a large number of outliers and a tendency to underestimate LTPAEE from light and vigorous activities while overestimating LTPAEE from moderate activities at the individual level. The results of this study should be considered when performing inferential statistics on the relationship between physical activity and health outcomes.

scholarly journals The Use of an Online Tennis Learning Platform for Sedentary Adults

GYMNASIUM ◽  
2020 ◽  
Vol XXI (2) ◽  
pp. 101
Author(s):  
Radu Tiberiu Șerban ◽  
Iacob Hanțiu
Keyword(s):  
Physical Activity ◽  
Leisure Time ◽  
Intervention Program ◽  
Leisure Time Physical Activity ◽  
Physical Activity Program ◽  
Recreational Physical Activity ◽  
Learning Platform ◽  
Activity Program ◽  
The Impact ◽  
Web Platform

The purpose of this research was to analyse the impact of a web platform as a result of its use to support a leisure-time physical activity program based on the organized practice oftennis. The hypothesis of this research is based on the assumption that the use of a web platform for a recreational physical activity program, in particular a tennis one, will havebeneficial effects on the effectiveness of learning the game technique. The research was carried out on a sample of 47 volunteer subjects, all of them working in a sedentaryenvironment. The subjects of the study were divided into 3 groups, the intervention program consisted of 90-minute tennis training sessions, twice a week, for 4 months. Thestatistical analysis of the data was accomplished by using the IBM SPSS Statistics 20 program. At the end of the study, could be observed in total technical score, staticforehand, dynamic forehand, static backhand, dynamic backhand and serve score.

scholarly journals The Association between Body Mass Index and Leisure-Time Physical Activity in Adults with Multiple Sclerosis

2020 ◽  
Vol 17 (3) ◽  
pp. 920
Author(s):  
Wi-Young So ◽  
Alon Kalron
Keyword(s):  
Physical Activity ◽  
Multiple Sclerosis ◽  
Body Mass Index ◽  
Body Mass ◽  
Leisure Time ◽  
Leisure Time Physical Activity ◽  
Chi Square ◽  
Disability Status ◽  
Chi Square Analysis ◽  
Disability Level

(1) Purpose: Conflicting information exists regarding the relationship between obesity, leisure-time physical activity (PA), and disability in people with multiple sclerosis (PwMS). We aimed to investigate the association between leisure-time PA and weight status in a relatively large cohort of PwMS. Furthermore, we examined this relationship according to the level of neurological disability. (2) Methods: The study included 238 PwMS (138 women) with a mean Expanded Disability Status Scale (EDSS) score of 2.5 (standard deviation [SD] = 1.7), mean disease duration of 6.4 (SD = 8.2) years, and mean age of 40.5 (SD = 12.9) years. Obesity was defined using two different metrics, each based on body mass index (BMI). Leisure-time PA was determined by the Godin–Shephard leisure-time PA questionnaire. Statistical analyses included multivariate logistic regression, the chi-square test, and Pearson coefficient correlations. (3) Results: The unadjusted odds ratio (OR) between leisure-time PA and BMI based on the World Health Organization’s (WHO) definition was 1.070 (p = 0.844) for overweight and 1.648 (p = 0.254) for obesity. The adjusted OR was 1.126 (p = 0.763) for overweight and 1.093 (p = 0.847) for obesity after adjustment for age, gender, and disability status. Chi-square analysis revealed no significant correlation between leisure-time PA and obesity (p = 0.564) according to the BMI threshold for PwMS. The unadjusted OR (95% confidence interval [CI]) between disability level and BMI based on the WHO definition was 1.674 (p = 0.220) for overweight and 0.618 (p = 0.460) for obesity. The adjusted OR was 1.130 (p = 0.787) for overweight and 0.447 (p = 0.234) for obesity after adjustment for age, gender, and leisure-time PA. Similarly, chi-square analysis revealed no significant correlation between disability level and obesity (p = 0.701) per the BMI threshold for PwMS. (4) Conclusions: No association was found between leisure-time PA and BMI in PwMS. An additional finding was the absence of any association between obesity and neurological disability level in the multiple sclerosis cohort.

scholarly journals The impact of leisure time physical activity on mental health and health perception among people with cancer

2020 ◽  
Vol 10 (2) ◽  
pp. 116-122
Author(s):  
Jaehyun Kim ◽  
Junhyoung Kim ◽  
Areum Han
Keyword(s):  
Mental Health ◽  
Physical Activity ◽  
Leisure Time ◽  
Psychological Symptoms ◽  
Leisure Time Physical Activity ◽  
Health Benefits ◽  
Health Perception ◽  
Cross Sectional ◽  
Mean Differences ◽  
The Impact

Background: People with cancer often report high levels of negative psychological symptoms and poor perception of health due to cancer treatment and activity limitations. Prior studies have suggested that participation in leisure time physical activity (LTPA) can reduce negative psychological symptoms and improve health perception. However, a few studies have examined the contribution of LTPA to health benefits among people with cancer. Thus, we aimed to examine how a different level of LTPA engagement contributed to mental health and health perceptions among people with cancer. Methods: Using the 2017 Health Information National Trends Survey (HINTS) data, cross sectional data of 504 respondents diagnosed with any types of 22 cancers listed in the survey questionnaire were analyzed. A multivariate analysis of variance (MANOVA) was used to test for mean differences in mental health and health perception among the three different LTPA groups(i.e., inactive, moderately active, and vigorously active groups). Results: Results indicated that people with cancer who reported higher levels of LTPA scored higher on mental health and health perception than those with lower levels of LTPA (Pillai’s trace= 0.060, F (4,944) = 15.06, P < 0.001). Conclusion: This finding suggests that individuals with cancer gained more health benefits through high engagement in LTPA. Moreover, we suggested that LTPA can be used as an important therapeutic intervention to promote health quality and wellbeing among people with cancer. Implications for practical suggestions are further discussed.

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