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.

Tracking of physical activity during middle school transition in Iranian adolescents

2011 ◽  
Vol 71 (6) ◽  
pp. 631-641 ◽  
Author(s):  
Parvaneh Taymoori ◽  
Tanya R Berry ◽  
David R Lubans
Keyword(s):  
Physical Activity ◽  
High School ◽  
Physical Inactivity ◽  
Physical Activity Behavior ◽  
Self Report ◽  
Psychological Variables ◽  
Interpersonal Influences ◽  
Factors Analysis ◽  
Activity Behavior

Objective: The purpose of this longitudinal study was to examine changes in physical activity behavior, psychological factors and interpersonal influences associated with exercise behavior during the transition from secondary school to high school in Sanandaj, Iran. Design: Data were collected from students in 2006 ( N = 1,073), of whom 844 provided follow-up data in 2009. Setting: The students were in high school in 2009 (51% male) with a mean age of 16.42 ± 1.73 years. Method: Physical activity-related cognitions, interpersonal influences, and physical activity behavior were measured using self-report questionnaires. To assess the effects of time and sex on psychosocial factors, analysis of variances (ANOVAs) were conducted. The relative stability of physical activity psychosocial correlates from wave 1 through wave 2 was assessed using Pearson product-moment correlations. Results: There were significant differences according to sex across time for physical activity, psychological variables and interpersonal influences associated with exercise activities. The girls were less active than boys at both time points. Girls reported lower self-efficacy and perceived more barriers and fewer perceived benefits for physical activity over time. Interpersonal influences on activity were more stable for girls than boys. Conclusion: The results offer evidence for decreasing physical activity in boys and girls and sex differences in cognitive variables and interpersonal influences. This is important for understanding how to address the problem of physical inactivity among Iranian youth.

scholarly journals Association between physical activity levels in mid-life with physical activity in old age: a 20-year tracking study in a prospective cohort

BMJ Open ◽  
2017 ◽  
Vol 7 (8) ◽  
pp. e017378 ◽  
Author(s):  
Daniel Aggio ◽  
Olia Papacosta ◽  
Lucy Lennon ◽  
Peter Whincup ◽  
Goya Wannamethee ◽  
...  
Keyword(s):  
Physical Activity ◽  
Old Age ◽  
Sport Participation ◽  
Intraclass Correlation ◽  
Sports Participation ◽  
Later Life ◽  
Kappa Statistics ◽  
Activity Levels ◽  
Recreational Activity

ObjectivesThis study aims to examine the tracking and predictability of physical activity in old age from overall physical activity and participation in sport, recreational activity and walking in mid-life.DesignProspective population-based cohort study.SettingBritish Regional Heart Study participants recruited from primary care centres in the UK in 1978–1980.Participants and outcome measuresMen (n=3413) self-reported their physical activity at baseline, 12, 16 and 20-year follow-ups and were categorised as inactive or active and having high or low participation in sport, walking and recreational activities. Tracking was assessed using kappa statistics and random effects models. Logistic regression estimated the odds of being active at 20-year follow-up according to physical activity participation in mid-life.ResultsAmong 3413 men (mean age at baseline 48.6±5.4 years) with complete data, tracking of overall physical activity was moderate (kappa: 0.23–0.26). Tracking was higher for sports participation (kappa: 0.35–0.38) compared with recreational activity (kappa: 0.16–0.24) and walking (kappa: 0.11–0.15). Intraclass correlation coefficients demonstrated similar levels of stability and only marginally weakened after controlling for covariates. Compared with inactive men, being active at baseline was associated with greater odds of being active at 20-year follow-up (OR 2.7, 95% CI 2.4 to 3.2) after adjusting for sociodemographic, health and lifestyle variables. Playing sport in mid-life was more strongly associated with being active at 20-year follow-up than other domains, particularly when sport participation began earlier in life.ConclusionBeing physically active in mid-life increases the odds of being active in old age. Promoting physical activity in later life might be best achieved by promoting sport participation earlier in the life course.

Impact of Baseline Features and Risk Factor Control on Cognitive Function in the Stenting and Aggressive Medical Management for Preventing Recurrent Stroke in Intracranial Stenosis Trial

2019 ◽  
Vol 47 (1-2) ◽  
pp. 24-31 ◽  
Author(s):  
Tanya N. Turan ◽  
Sami Al Kasab ◽  
Alison Smock ◽  
George Cotsonis ◽  
David Bachman ◽  
...  
Keyword(s):  
Risk Factors ◽  
Risk Factor ◽  
Cognitive Impairment ◽  
Cognitive Function ◽  
Medical Management ◽  
Physical Inactivity ◽  
Recurrent Stroke ◽  
Older Age ◽  
Aggressive Medical Management

Background: Cerebrovascular disease is an important cause of cognitive impairment. The aim of this study is to report the relationship between cognitive function and risk factors at baseline and during follow-up in the Stenting and Aggressive Medical Management for Preventing Recurrent stroke in Intracranial Stenosis (SAMMPRIS) trial. Methods: Subjects in the SAMMPRIS trial were included in this study. In order to have an assessment of cognitive function independent of stroke, patients with a stroke as a qualifying event whose deficits included aphasia or neglect were excluded from these analyses as were those with a cerebrovascular event during follow-up. The Montreal Cognitive Assessment (MoCA) score was used to assess cognitive impairment at baseline, 4 months, 12 months and closeout. Cognitive impairment was defined as MoCA < 26. A multivariate analysis was performed to determine what risk factors were independent predictors of cognitive function at baseline, 12 months and closeout. Among patients randomized to aggressive medical management only, the percentage of patients with cognitive impairment was compared between patients in versus out of target for each risk factor at 12 months and closeout. Results: Of the 451 patients in SAMMPRIS, 371 patients met the inclusion criteria. MoCA < 26 was present in 55% at baseline. Older age and physical inactivity were associated with cognitive impairment at baseline. Older age, non-white race, lower baseline body mass index, and baseline cognitive impairment were associated with cognitive impairment at 12 months. In the aggressive medical management group, at 12 months, physical inactivity during follow-up was the strongest risk factor associated with cognitive impairment. Conclusion: Cognitive impairment is common in patients with severe symptomatic intracranial atherosclerosis. Physical inactivity at baseline and during follow-up is a strong predictor of cognitive impairment.

Multimorbidity, mortality, and physical activity

2016 ◽  
Vol 12 (4) ◽  
pp. 272-280 ◽  
Author(s):  
Paul D Loprinzi ◽  
Ovuokerie Addoh ◽  
Chelsea Joyner
Keyword(s):  
Physical Activity ◽  
Mortality Risk ◽  
Physical Inactivity ◽  
Self Report ◽  
Minimal Effect ◽  
Increased Risk ◽  
All Cause Mortality ◽  
The Government ◽  
Physician Diagnosis

Objectives Multimorbidity and physical inactivity are individually associated with increased mortality risk, but the possibility for physical activity to moderate the multimorbidity–mortality relationship has yet to be investigated. Methods Data from the 1999–2006 NHANES were employed, with 16,091 participants constituting the analytic sample. Participants were followed through 2011, including a median follow-up of 99 months. Physical activity was assessed via self-report with multimorbidity assessed from physician diagnosis. Results After adjustment, for every 1 morbidity increase, participants had a 23% increased risk of all-cause mortality (HR = 1.23; 95% CI: 1.19–1.28; p < 0.001). Multimorbidity mostly remained associated with all-cause mortality across all levels of physical activity, with the exception of those achieving four times the dose of the government guidelines. Discussion With the exception of those who engaged in high levels of self-reported physical activity, physical activity had a minimal effect on the multimorbidity–mortality relationship.

scholarly journals Evaluation of a voucher scheme to increase child physical activity in participants of a school physical activity trial in the Hunter region of Australia

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Kathryn Reilly ◽  
Adrian Bauman ◽  
Lindsey Reece ◽  
Christophe Lecathelinais ◽  
Rachel Sutherland ◽  
...  
Keyword(s):  
Physical Activity ◽  
New South ◽  
Team Sports ◽  
Activity Levels ◽  
Organized Sport ◽  
Child Physical Activity ◽  
South Wales ◽  
Physical Activity Levels ◽  
Hunter Region

Abstract Background Global population data suggest that physical activity levels in children remain unacceptably low. Improved participation in organised sport has been recommended by the WHO as one strategy to improve population levels of physical activity. In 2018, in the state of New South Wales, Australia, the government introduced the Active Kids scheme, to help families meet the cost of getting children into organized sport. The aim of this study is to describe the uptake of Active Kids and assess the impact of the scheme on organized sport participation and child physical activity in a region of New South Wales. Methods A pragmatic longitudinal study was undertaken of parents/carers from primary school aged children (5–12 years) in the Hunter region of NSW, Australia. Baseline data were collected between Oct-Dec 2017, with follow-up 12 months later. A telephone survey occurred at both time points, asking questions regarding registration and redemption of an Active Kids voucher for their child, child participation in organised sports and child physical activity levels. Results Of the 974 parents/carers who consented to participate, 511 (52.5%) completed the telephone surveys at both time points. A very large proportion of children (n = 454, 89.0%) were reported by their parents/carers at baseline as meeting the minimum physical activity guideline of 60 min per day. Of participating parents/carers in this study, 407 (96.0%) reported redeeming an Active Kids voucher. Children who redeemed a voucher had three times the odds to participate in organized team sports from baseline to follow-up (p = 0.009). Sub group analyses identified that females who redeemed a voucher had four times the odds to participate in organized team sports (p = 0.012). Conclusions Given the already active nature of this sample, no significant improvements in physical activity levels were noted, but the positive contribution community sport can have on health and wellbeing amongst children is reinforced. Whilst voucher schemes can address financial burdens across all socio-economic groups, more population targeting is needed to deliver voucher schemes to the most disadvantaged and inactive segments of the population in order to increase physical activity.

scholarly journals Prevalence, risk factors and attitude of parents towards childhood obesity among school children in Bangalore city

2018 ◽  
Vol 5 (2) ◽  
pp. 749 ◽  
Author(s):  
Hemavathi Dasappa ◽  
Farah Naaz Fathima ◽  
Krithika Ganesh ◽  
Shankar Prasad
Keyword(s):  
Physical Activity ◽  
Risk Factors ◽  
Risk Factor ◽  
School Children ◽  
Private School ◽  
Overweight And Obesity ◽  
Parental Attitude ◽  
Obesity And Overweight ◽  
Potential Risk Factors ◽  
Structured Questionnaire

Background: Aim of the study was to determine the prevalence, risk factor attitude of parents towards obesity and overweight among the school children between the age group of 6-13 years.Methods: A structured questionnaire was filled by the parents and weight and height was measured by school nurse in a private school in Bangalore city.Results: Prevalence of overweight was 13.20% and obesity was 17.13%. Birth weight and sport was strongly associated with the prevalence. Sports protect the child from the overweight and obesity. Parent’s perception about their child’s BMI status was good. Parent’s attitude of having meal with their child and their estimation of child’s physical activity was protective and the attitude of controlling diet of the child was a risk factor for overweight and obesity. Though the parents were able to estimate their child as overweight and obese they were not willing for further advice.Conclusions: Prevalence of overweight and obesity is increasing. Higher birth weights, parental attitude of controlling child’s diet are the potential risk factors. Involvement in sports, parental attitude of having food with child and awareness about their physical activity are protective. 

scholarly journals Effects of Physical Activity on Controlling Blood Pressure Among Hypertensive Patients at the Region of Prizren

2017 ◽  
Vol 6 (1) ◽  
pp. 184
Author(s):  
Nderim Rizanaj ◽  
Agron Bytyqi
Keyword(s):  
Physical Activity ◽  
Blood Pressure ◽  
Management Plan ◽  
Hypertensive Patients ◽  
Blood Pressure Targets ◽  
Increased Risk ◽  
Prescribing Practice ◽  
Different Characteristics ◽  
Structured Questionnaire

Aim: To describe the effect of physical activity on controlling blood pressure among hypertensive patients at Region of Prizren. Method: A sample of 101 patients diagnosed with hypertension in the region of Prizren, which were randomly selected from those hypertensive patients who visited the Main Family Medicine Centre and Private ambulance “Nderimed” for their regular follow up. A structured questionnaire (Life Style Questionnaire and Perceived Stress Scale) with questions on different characteristics was administered. In terms of gender composition there were 41 men and 49 women, aged between 45 and 74 years old. Result: Among our sample just 7.8% reported that they make physical activity regularly. 68% of the sample reported that they engaged less than one hour per week in some kind of activity and their motivation to do so was also weak, just half of them report that they want to lose in weight. When participants were asked how many hours they move by walk or bike, with 0 hours reported 69%. Conclusion: The increased risk of physical inactivity in controlling hypertension in this study suggests that general practitioners must be in the habit of prescribing practice of physical exercise and patients are followed up regularly to confirm that they are adhering to the management plan and the blood pressure targets are being met.

scholarly journals Objectively measured versus self-reported occupational physical activity and multisite musculoskeletal pain: a prospective follow-up study at 20 nursing homes in Denmark

2019 ◽  
Vol 93 (3) ◽  
pp. 381-389 ◽  
Author(s):  
Subas Neupane ◽  
Kristina Karstad ◽  
David M. Hallman ◽  
Reiner Rugulies ◽  
Andreas Holtermann
Keyword(s):  
Physical Activity ◽  
Nursing Homes ◽  
Musculoskeletal Pain ◽  
Occupational Physical Activity ◽  
Calculated Risk ◽  
Study Population ◽  
Prospective Association ◽  
Objectively Measured ◽  
Structured Questionnaire

Abstract Purpose To explore the prospective association of objectively measured and self-reported occupational physical activity (OPA) with multisite musculoskeletal pain (MSP) among Danish eldercare workers. Methods The study population consisted of eldercare workers in 20 Danish nursing homes (N = 553, response rate 59%, 525 female). Baseline data were collected in 2013–2014 and the 1-year follow-up was completed in 2016. At baseline, we measured objective OPA by a thigh-worn ActiGraph GT3X + accelerometer during work and self-reported OPA by a questionnaire survey. Information on musculoskeletal pain during the past four weeks in seven different body sites was reported by a structured questionnaire at baseline (n = 389) and by SMS and telephone interview during follow-up (n = 284). MSP was defined as having pain in two or more body sites. Using log-binomial models we calculated risk ratios (RRs) with their 95% confidence intervals (CIs) to estimate the association between objectively measured and self-reported OPA and MSP. Results We found statistically significant positive associations between self-reported OPA (RR for high OPA 1.24, 95% CI 1.05–1.46) and MSP while there was no significant association found between objective OPA and MSP. Conclusion Our study indicates that self-reported, but not objectively measured OPA is positively associated with MSP. This finding highlights the need for better understanding, use, and interpretation of self-reported and objectively measured OPA in the study of MSP.

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 Physical Activity, Sport Participation, and Sedentary Behaviors over Four Years of High School

2018 ◽  
Vol 10 (9) ◽  
pp. 3104 ◽  
Author(s):  
Lovro Štefan ◽  
Marjeta Mišigoj-Duraković ◽  
Antonela Devrnja ◽  
Hrvoje Podnar ◽  
Vilko Petrić ◽  
...  
Keyword(s):  
Physical Activity ◽  
High School ◽  
High School Students ◽  
Screen Time ◽  
Sport Participation ◽  
Sports Participation ◽  
Sedentary Behaviors ◽  
School Students ◽  
And Gender

Background: The aim of the present study was to investigate the extent of tracking of physical activity (PA), sports participation (SP), and sedentary behaviors (SB) over four years of high school education among the Croatian Physical Activity in Adolescence Longitudinal Study (CRO-PALS) cohort. Methods: In this investigation, participants were 844 high school students (15.6 years at baseline; 49% girls). The SHAPES questionnaire was used to assess PA, SP, and SB at ages 15, 16, 17, and 18 and tracking was assessed using generalized estimating equations. Results: Tracking coefficients for PA were similar in both sexes, ranged from 0.49 to 0.61, and indicated moderate tracking, while the tracking of SB tended to be somewhat higher over the four years of follow-up (β = 0.60–0.72). Youth that participated in sports at baseline had a 16 to 28 times higher odds of continued participation at follow-up, depending on the type of sport and gender. Finally, both low physical activity and high screen time showed strong tracking in both genders. Conclusion: PA and SB tracked moderately between ages 15 and 18. Moreover, the strong tracking of low PA and high screen time indicates that the detection of these risk factors at the beginning of high school should be advocated.

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