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1.
Front Sports Act Living ; 5: 1213655, 2023.
Artículo en Inglés | MEDLINE | ID: mdl-37941848

RESUMEN

Introduction: Heart rate (HR) monitors are rarely used by people living with disabilities (PLWD), and their accuracy is undocumented. Thus, this study aims to describe the HR response during the Team Twin co-running program and, secondly, to assess the agreement and accuracy of using HR monitors among PLWD. Methods: This 16-week single-arm observational study included 18 people with various disabilities. During the study, the subjects wore a Garmin Vivosmart 4 watch (wrist). To evaluate the agreement and accuracy we applied Garmin's HRM-DUAL™ chest-worn HR monitors for comparison with the Vivosmart 4. The HR response analysis was performed descriptively and with a mixed regression model. The HR agreement and accuracy procedure was conducted on a subsample of five subjects and analyzed using Lin's concordance analysis, Bland and Altman's limits of agreement, and Cohen's kappa analysis of intensity zone agreement. This study was prospectively registered at Clinical Trials.gov (NCT04536779). Results: The subjects had a mean age of 35 (±12.6), 61% were male, 72% had cerebral palsy were 85% had GMFCS V-IV. HR was monitored for 202:10:33 (HH:MM:SS), with a mean HR of 90 ± 17 bpm during training and race. A total of 19% of the time was spent in intensity zones between light and moderate (30%-59% HR reserve) and 1% in vigorous (60%-84% HR reserve). The remaining 80% were in the very light intensity zone (<29% HR reserve). HR was highest at the start of race and training and steadily decreased. Inter-rater agreement was high (k = 0.75), limits of agreement were between -16 and 13 bpm, and accuracy was acceptable (Rc = 0.86). Conclusion: Disability type, individual, and contextual factors will likely affect HR responses and the agreement and accuracy for PLWD. The Vivosmart 4, while overall accurate, had low precision due to high variability in the estimation. These findings implicate the methodical and practical difficulties of utilizing HR monitors to measure HR and thus physical activity in adapted sports activities for severely disabled individuals.

2.
Front Sports Act Living ; 5: 1236870, 2023.
Artículo en Inglés | MEDLINE | ID: mdl-37614413

RESUMEN

Background: Device-based measurement in physical activity surveillance is increasing, but research design choices could increase the risk of self-selection bias and reactive behaviour. The aim of this study is to compare the self-reported physical activity profiles of four different samples: participants in a large national survey, participants in a telephone-based survey of non-responders, participants in the large national survey who accepted the invitation to device-based measuring, and the same sample during the week of monitoring. Methods: In October 2020, 163,133 Danish adults participated in a national survey and of those 39,480 signed up for device-based measurements. A balanced random sample (n = 3,750) was invited to wear an accelerometer of whom 1,525 accepted the invitation. Additionally, a short telephone-based survey on 829 non-responders to the national survey was conducted. Sociodemographic characteristics and self-reported weekly frequencies of physical activity across four domains are compared. Results: The participants in the national survey were older, more often female, and more often not working. Participants in the telephone-based survey were younger, more often doing unskilled work, and were more often active at home and at work. The participants in the device-based sample were more often active during transport and leisure in the national survey, and participants categorized in the most active category increased during the week of monitoring from 29.0% to 60.7% and from 58.5% to 81.7% for active transport and leisure activities, respectively. Conclusion: Recruiting a population representative sample for device-based measurement of physical activity is challenging, and there is a substantial risk of sample selection bias and measurement reactivity. Further research in this area is needed if device-based measures should be considered for population physical activity surveillance.

3.
Int J Qual Stud Health Well-being ; 16(1): 1983947, 2021 Dec.
Artículo en Inglés | MEDLINE | ID: mdl-34714215

RESUMEN

PURPOSE: Little is known of the potential of using nature and outdoor activities in relation to community-based health promotion programmes. This study seeks a better understanding of how people with mental or chronic physical health problems experience a local outdoor health promotion or rehabilitation programmes and a better understanding of how these programs contribute to the participant's health and well-being. METHODS: The study is based on data from the Healthy in Nature project targeting adults with chronic physical health problems and adults with mental health problems. Data was collected using a qualitative multiple case study design involving five selected cases with both qualitative interviews and observation. Data was analysed using Braun et al.'s 6-phase guide to qualitative reflexive thematic analysis, employing Self-Determination Theory as a theoretical framework. Results: Overall, the participants in the two groups experienced increased competence, autonomy, and relatedness, and the participants expressed the importance of both being in a natural environment and doing outdoor activities (friluftsliv). CONCLUSIONS: The study makes a valuable contribution to the field of health promotion and rehabilitation pointing to nature and friluftsliv as important elements that offer great potential to community-based health promotion.


Asunto(s)
Promoción de la Salud , Estado de Salud , Adulto , Dinamarca , Humanos , Investigación Cualitativa , Encuestas y Cuestionarios
4.
Int J Behav Nutr Phys Act ; 11: 13, 2014 Feb 05.
Artículo en Inglés | MEDLINE | ID: mdl-24498933

RESUMEN

BACKGROUND: Evidence suggests that sitting time is adversely associated with health risks. However, previous epidemiological studies have mainly addressed mortality whereas little is known of the risk of coronary heart disease. This study aimed to investigate total sitting time and risk of myocardial infarction, coronary heart disease incidence and all-cause mortality. METHODS: In the Danish Health Examination Survey (DANHES) conducted in 2007-2008 we tested the hypothesis that a higher amount of daily total sitting time is associated with greater risk of myocardial infarction, coronary heart disease and all-cause mortality. The study population consisted of 71,363 men and women aged 18-99 years without coronary heart disease. Participants were followed for myocardial infarction, coronary heart disease and mortality in national registers to August 10, 2012. Cox regression analyses were performed with adjustment for potential confounders and multiple imputation for missing values. RESULTS: During a mean follow-up period of 5.4 years 358 incident cases of myocardial infarction, 1,446 of coronary heart disease, and 1,074 deaths from all causes were registered. The hazard ratios associated with 10 or more hours of daily sitting compared to less than 6 hours were 1.38 (95% CI: 1.01, 1.88) for myocardial infarction, 1.07 (95% CI: 0.91, 1.27) for coronary heart disease and 1.31 (95% CI: 1.09, 1.57). Compared to sitting less than 6 hours per day and being physically active in leisure time, the hazard ratios of sitting more than 10 hours per day and also being physically inactive in leisure time were 1.80 (95% CI: 1.15, 2.82) for myocardial infarction, 1.42 (95% CI: 1.11, 1.81) for coronary heart disease, and 2.29 (95% CI: 1.82, 2.89) for all-cause mortality. CONCLUSIONS: The results suggest that a higher amount of daily total sitting time is associated with all-cause mortality, particularly among inactive adults. In relation to coronary heart, disease results were less clear. This paper adds new evidence to the limited data on the evidence of sitting time and cardiovascular disease and mortality.


Asunto(s)
Enfermedad Coronaria/epidemiología , Mortalidad , Infarto del Miocardio/epidemiología , Postura/fisiología , Adolescente , Adulto , Anciano , Anciano de 80 o más Años , Índice de Masa Corporal , Colesterol/sangre , Dinamarca , Femenino , Humanos , Incidencia , Actividades Recreativas , Modelos Lineales , Masculino , Persona de Mediana Edad , Actividad Motora , Estudios Prospectivos , Factores de Riesgo , Encuestas y Cuestionarios , Triglicéridos/sangre , Circunferencia de la Cintura , Adulto Joven
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