scholarly journals A Burden of Physical Inactivity in School-Age Students: The Early Beginning of Cardiometabolic Risk

2021 ◽  
Vol 34 (3) ◽  
pp. 262-263
Author(s):  
Pedro Paulo da Silva Soares ◽  
Gabriel Dias Rodrigues
Keyword(s):  
Physical Inactivity ◽  
Cardiometabolic Risk ◽  
School Age ◽  
Early Beginning

Physical inactivity from youth to adulthood and adult cardiometabolic risk profile

2021 ◽  
Vol 145 ◽  
pp. 106433
Author(s):  
Petri Kallio ◽  
Katja Pahkala ◽  
Olli J. Heinonen ◽  
Tuija H. Tammelin ◽  
Kristiina Pälve ◽  
...  
Keyword(s):  
Physical Inactivity ◽  
Cardiometabolic Risk ◽  
Risk Profile

scholarly journals Prevalence of physical inactivity and associated cardiometabolic risk factors: A cross-sectional study

2020 ◽  
Vol 128 (3) ◽  
pp. 381-392
Author(s):  
Juan Salazar ◽  
Wheeler Torres ◽  
Luis Olivar ◽  
Valeria Gallo ◽  
Eliana Luzardo ◽  
...  
Keyword(s):  
Diabetes Mellitus ◽  
Risk Factors ◽  
Physical Inactivity ◽  
Cardiometabolic Risk ◽  
Cross Sectional Study ◽  
Cardiometabolic Risk Factors ◽  
Sectional Study ◽  
Cross Sectional

Introducción: La inactividad física es un problema de salud pública asociado a enfermedades crónicas no transmisibles. Determinar la prevalencia general y por esferas de inactividad física, y su asociación con factores cardiometabólicos. Métodos: Estudio transversal que incluyó 2 230 individuos adultos de ambos sexos de la ciudad de Maracaibo. Para la evaluación de la actividad física se aplicó la versión larga del Cuestionario internacional de actividad física, definiéndose la inactividad física como <600 MET-minutos/semana, se realizó un análisis de regresión logística multivariante para cada dominio. Resultados: La mayor prevalencia de inactividad física fue en la esfera de transporte (80,3 %), seguida de la esfera de trabajo (79,9 %), ocio (76,8 %) y hogar (47,9 %). En las 3 primeras esferas la inactividad física fue más frecuente en mujeres y la mayoría de sujetos fueron inactivos en 3 o 4 esferas simultáneamente. Las variables asociadas con inactividad física en ocio fueron el sexo femenino, edad >30 años, grupo étnico arábigo-asiático y estatus de exfumador; en la esfera transporte fueron el sexo femenino, sobrepeso y obesidad; en la esfera trabajo fueron el sexo femenino, edad ≥50 años, estatus educativo de secundaria, condición laboral de empleado y diabetes mellitus tipo 2; en la esfera hogar fueron el sexo masculino, estrato socioeconómico II-IV y la condición laboral de empleado. Conclusión: Existe una alta prevalencia de inactividad física en los habitantes de la ciudad de Maracaibo, por lo que es necesaria la promoción del ejercicio.

scholarly journals The Impact of Cardiorespiratory Fitness on Cardiometabolic Risk Factors and Mortality

2017 ◽  
Vol 6 (4) ◽  
pp. 71-77
Author(s):  
Peter Kokkinos ◽  
Puneet Narayan ◽  
Charles Faselis
Keyword(s):  
Physical Activity ◽  
Risk Factors ◽  
Cardiorespiratory Fitness ◽  
Physical Inactivity ◽  
Cardiometabolic Risk ◽  
Daily Physical Activity ◽  
Cardiometabolic Health ◽  
Physically Active ◽  
The Impact ◽  
Health And Mortality

The association between physical activity and health has been recognized since antiquity. Yet daily physical activity in modern societies, especially for the last 100 years, has declined greatly. Additionally, people tend to become less physically active as they age. This is unfortunate because of the known link between physical activity and health. Physical inactivity can lead to many physiologic maladaptations that can increase the risk of cardiometabolic abnormalities and death. This manuscript reviews the influence of physical activity on cardiometabolic health and mortality.

scholarly journals Liver Fat and Cardiometabolic Risk Factors Among School‐Age Children

Hepatology ◽  
2020 ◽  
Vol 72 (1) ◽  
pp. 119-129 ◽  
Author(s):  
Madelon L. Geurtsen ◽  
Susana Santos ◽  
Janine F. Felix ◽  
Liesbeth Duijts ◽  
Meike W. Vernooij ◽  
...  
Keyword(s):  
Risk Factors ◽  
Cardiometabolic Risk ◽  
Cardiometabolic Risk Factors ◽  
Liver Fat ◽  
School Age Children ◽  
School Age

scholarly journals Factor analysis for the clustering of cardiometabolic risk factors and sedentary behavior: a VGH-HEALTHCARE substudy

2020 ◽  
Vol 41 (Supplement_2) ◽  
Author(s):  
T.Y Tsai ◽  
S.S Lim ◽  
S.C Chan ◽  
Y.L Yang ◽  
P.F Hsu ◽  
...  
Keyword(s):  
Risk Factors ◽  
Factor Analysis ◽  
Sedentary Behavior ◽  
Physical Inactivity ◽  
Cardiometabolic Risk ◽  
Cardiometabolic Risk Factors ◽  
Validation Group ◽  
Cvd Risk Factors ◽  
Cvd Risk ◽  
Clustering Pattern

Abstract Background Few studies have reported the clustering pattern of new CVD risk factors including sedentary behavior, systemic inflammation and cadiometabolic components in the general population. Purpose We aimed to explore the clustering pattern of CVD risk factors using exploratory factor analysis to investigate the underlying relationships between various CVD risk factors Methods A total of 5606 subjects (3157 male, 51.5±11.7y/o) were enrolled and 14 cardiovascular risk factors including sedentary behaviors and physical inactivity were analyzed in exploratory group (n=3926). The established model was validated with the validation group (n=1676). Results Five factor clusters had been identified to explained 69.4% of total variance, including adiposity (BMI, TG, HDL, UA, and HsCRP 21.3%), lipid, (Total cholesterol, and LDL-cholesterol 14.0%), blood pressure (SBP & DBP 13.3%), glucose (HbA1C, fasting glucose 12.9%) and sedentary behavior (MET per week and sitting time per day 8.0%), respectively. HsCRP was clustered with adiposity factors, not other cardiometabolic risk factors. This clustering pattern was verified in the validation group. Conclusion Our current study confirmed the clustering structure of cardiometabolic risk factors including sedentary behavior in general population. hsCRP was clustered with adiposity factors while physical inactivity and sedentary behavior were clustered with each other. Funding Acknowledgement Type of funding source: None

A Therapeutic Technique for the Improvement of Lingua-Alveolar Valving Abilities

1978 ◽  
Vol 9 (3) ◽  
pp. 169-175 ◽  
Author(s):  
James Paul Dworkin
Keyword(s):  
School Age Children ◽  
School Age ◽  
Bite Block ◽  
Therapeutic Technique ◽  
Remedial Program

This study was designed to determine if a remedial program using a bite-block device could inhibit hypermandibular activity (HMA) and thereby improve the lingua-alveolar valving (LAV) abilities of four school-age children who demonstrated multiple lingua-alveolar (LA) phonemic errors. The results revealed significant improvements in LAV and LA phoneme articulatory skills in all of the children who used the bite-block device to reduce HMA subsequent to comprehensive training sessions.

Dimensions of Multiskilling

1999 ◽  
Vol 30 (1) ◽  
pp. 4-10 ◽  
Author(s):  
Carole E. Johnson
Keyword(s):  
Hearing Loss ◽  
Service Delivery ◽  
Monitoring Program ◽  
School Age Children ◽  
School Age ◽  
Support Personnel ◽  
Educational Personnel ◽  
Educational Audiology ◽  
Children With Hearing Loss ◽  
Improve Service Delivery

Educational audiologists often must delegate certain tasks to other educational personnel who function as support personnel and need training in order to perform assigned tasks. Support personnel are people who, after appropriate training, perform tasks that are prescribed, directed, and supervised by a professional such as a certified and licensed audiologist. The training of support personnel to perform tasks that are typically performed by those in other disciplines is calledmultiskilling. This article discusses multiskilling and the use of support personnel in educational audiology in reference to the following principles: guidelines, models of multiskilling, components of successful multiskilling, and "dos and don’ts" for multiskilling. These principles are illustrated through the use of multiskilling in the establishment of a hearing aid monitoring program. Successful multiskilling and the use of support personnel by educational audiologists can improve service delivery to school-age children with hearing loss.

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