Physical Activity in Adolescents With Diabetes

Loman, Deborah G.; Galgani, Carol A.

doi:10.1177/014572179602200204

Cited by 21 publications

(26 citation statements)

References 16 publications

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“…27 Our diabetic children accumulated 35-45 minutes/day of moderate activity and 20-25 minutes/day of aerobic vigorous activity. Contrary to other studies, [30][31][32][33] they compare favourably with their healthy peers. 10 As the healthy subjects received no educational programme with promotion of physical activity, it suggests that our educational programme for diabetic patients may influence their physical activity behaviour.…”

Section: Discussioncontrasting

confidence: 95%

Patterns of physical activity determined by heart rate monitoring among diabetic children

Rocour

et al. 2005

Archives of Disease in Childhood

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Background: Children with type 1 diabetes should be encouraged to participate in physical activity because exercise can benefit insulin sensitivity and improve known risk factors for atherosclerosis. Methods: Physical activity patterns of 127 children and adolescents with stable type 1 diabetes were investigated by 24 hour continuous heart rate monitoring. The percentage of heart rate reserve was used to measure the amounts of physical activity at different intensities. The results were compared with normative data. Results: Diabetic preschoolchildren accumulated 192.7 (78.1), 39.1 (24.3), and 21.3 (9.4) minutes/day (mean (SD)) of light, moderate, and vigorous physical activity, respectively. At the same activity levels, diabetic schoolchildren accumulated 168.9 (76.7), 37.9 (15.9), and 19.0 (14.8) minutes/day, and diabetic teenagers accumulated 166.3 (67.5), 45.6 (26.9), and 25.2 (15.3) minutes/day. Diabetic schoolchildren were significantly more active than healthy peers when considering moderate activity; diabetic teenagers were significantly more active when considering moderate and vigorous activity. There was a negative correlation between the most recent glycated haemoglobin and the time spent in light activities in schoolchildren, and a negative correlation between mean glycated haemoglobin for one year and time spent in light and moderate activities in schoolchildren. Conclusion: The majority of our diabetic patients meet the classical paediatric guidelines for physical activity and compare favourably with their healthy peers.

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Section: Discussioncontrasting

confidence: 95%

Patterns of physical activity determined by heart rate monitoring among diabetic children

Rocour

et al. 2005

Archives of Disease in Childhood

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“…A recent study using accelerometers assessed physical activity in 26 adolescent girls with Type 1 diabetes and found no association between these measurements and HbA 1c (Sarnblad et al, 2005). This concurred with the findings of previous cross-sectional research which investigated self-reported physical activity and metabolic control in children with Type 1 diabetes (Bennett Johnson et al, 1990;Hanson et al, 1996;Loman & Galgani, 1996).…”

Section: Introductionsupporting

confidence: 71%

“…There have been larger studies which have assessed the relationship between HbA 1c and self reported physical activity (Bennett Johnson et al, 1990;Hanson et al, 1996;Loman & Galgani, 1996), it is agreed though that objective monitoring is a more valid method of assessing physical activity particularly in children (Armstrong & Welsman, 1997). The only other study which provided an objective measurement of physical activity of children with Type 1 diabetes included 26 participants with Type 1 diabetes (Sarnblad et al, 2005).…”

Section: Discussionmentioning

confidence: 99%

“…An earlier longitudinal study (Stewart et al, 1994) showed that in a group of adults with Type 1 diabetes, those rated as high active perceived themselves as having significantly greater psychological health and physical functioning at two year follow up compared to a low active group. A study which investigated the exercise beliefs of 30 adolescents with Type 1 diabetes (Loman & Galgani, 1996) found the majority strongly agreed or agreed that exercise made them feel good and was a way to have fun with other people.…”

Section: Introductionmentioning

confidence: 99%

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Physical activity and psychological well-being in children with Type 1 diabetes

Edmunds

Roche

Stratton

et al. 2007

Psychology, Health & Medicine

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Physical activity and psychological well being contribute to positive lifestyle and well being in youngsters who have Type 1 diabetes. The aims of this study were to objectively assess the physical activity levels of children with Type 1 diabetes, and investigate associations between physical activity levels, psychological well-being and HbA 1c . Thirty-six children, mean age 12.8 years, participated in the investigation. Physical activity was assessed using heart rate monitoring over four days. Children further completed the Diabetes Quality of Life for Youths Questionnaire, the Physical Self-Perception Profile for Children, and the Self-Efficacy for Diabetes Scale. Routine outpatient HbA 1c measurements were recorded. There were no significant associations between psychological well-being and physical activity, or HbA 1c and physical activity, thus suggesting physical activity does not directly relate to psychological wellbeing in children with Type 1 diabetes. It may be that the effect of physical activity differs from that in children without Type 1 diabetes because of the place of physical activity within diabetes management and the need to balance this with insulin dosage and dietary intake to maintain blood glucose levels.

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“…Recall (Sallis, Buono, Roby, Micale, & Nelson, 1993); METS = metabolic equivalents; Exercise Beliefs = Exercise Belief Instrument for Adolescents (Loman & Galgani, 1996 NOTE: Hz = Hertz; PAR = Seven-Day Physical Activity Recall (Sallis, Buono, Roby, Micale, & Nelson, 1993); Exercise Beliefs = Exercise Belief Instrument for Adolescents (Loman & Galgani, 1996); DM = diabetes mellitus; HbA lc = glycosylated hemoglobin; SDNN = standard deviation of all R-R intervals; SDANN = standard deviation of all the means of R-R intervals for each 5-minute block; SD = mean of the standard deviation of the R-R intervals of each 5-min block; pNN50 = % of adjacent R-R intervals with ≥50 ms difference; rMSSD = square root of the mean of the sum of squares of differences between adjacent R-R intervals.…”

Section: Discussionmentioning

confidence: 99%