الإنتاج البحثي لأعضاء هيئة التدريس بالكلية V.8 - Flipbook - Page 159
the behavior dimension (R = 0.46, p = 0.042).
These findings highlight the need for effective strategies to manage fear of hypoglycemia and
promote physical activity in individuals with T1D. The use of CGM devices may provide added
safety to physical activity practices by reducing the risk of hypoglycemia.
(3) Jabbour G., Daniel-Iancu, H. (2024). Anaerobic and aerobic contributions to repeated
supramaximal cycling exercises and their adaptation to high-intensity interval training in obese
perimenopausal and postmenopausal women. Menopause 31(1):39-45.
https://doi.org/10.1097/GME.0000000000002284
This study investigated the anaerobic and aerobic contributions to total energy release during
repeated supramaximal cycling exercises (SCE) and their adaptation in response to 6 weeks of highintensity interval training (HIIT) in obese perimenopausal and postmenopausal women.
Nineteen perimenopausal women and 21 postmenopausal women with an average age of 50.1 years
participated in the 6-week HIIT intervention. Before and after the training, the accumulated oxygen
deficits (mL·min−1) and anaerobic and aerobic contributions (%) were measured in all groups via
repeated SCE.The results showed that, before training, the anaerobic contributions to repeated SCE
did not differ between the perimenopausal and postmenopausal women for the first three
repetitions. However, a higher decrease was reported for postmenopausal women at the fourth and
fifth repetitions (P < 0.01, respectively). After HIIT, anaerobic contributions increased significantly
in both groups (P < 0.01, respectively). Nevertheless, postmenopausal women still had significantly
lower anaerobic contributions to repeated SCE compared with perimenopausal women (P < 0.01,
respectively). Multiple linear regression analysis indicated that menopause status was an
independent predictor of anaerobic contribution, accounting for 17%, 21%, 15%, 19%, and 22% of
variations (β = 0.28, P = 0.03; β = 0.29, P = 0.04; β = 0.18, P = 0.05; β = 0.22, P = 0.05; and β =
0.33, P = 0.03 for the first to the fifth repetitions consecutively for perimenopausal vs
postmenopausal groups)
A 6-week HIIT intervention increased the anaerobic contributions to energy in response to repeated
SCE in obese perimenopausal and postmenopausal women. However, postmenopausal women had
lower anaerobic contributions at the fourth and fifth repetitions mainly due to the effects of
menopause.
(4) Jabbour, G., Taheri, Sh. (2022). Exercise prescription in metabolic diseases: An efficient
medicine
towards
prevention
and
cure.
Front
Physiol,
22
(13).
https://doi.org/10.3389/fphys.2022.947365
Current evidence suggest that long-term exercise and high intensity exercise can improve several
key health indicators. Concurrent with the new evidence, establishing an updated “consensus of
PA/exercise intervention” (e.g., modality; individualization) become necessary. An accurate
exercise prescription (moderate exercise/intensity vs. vigorous exercise/intensity) is still confusing
to enable the determination of the exercise mode. In fact, the common practice of prescribing
exercise at a fixed metabolic rate (# of METs) or percentage of maximal heart rate or of maximal
oxygen uptake (V̇O2max) does not acknowledge the individual variability of these metabolic
boundaries. As training adaptations occur, these boundaries will change in absolute and relative
terms (MacIntosh et al.). MacIntosh et al. provide a framework for understanding “moderate to
vigorous” physical activity intensities and advanced strategies in terms of individual identification
for exercise prescription. The authors recommend that expressing the exercise according to
ventilatory threshold 1 and 2 (VT1 and VT2) or lactate threshold 1 and 2 (LT1 and LT2) is most
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