There is a demand for effective training methods that encourage exercise adherence during advancing age, particularly in sedentary populations. This study examined the effects of high-intensity interval training (HIIT) exercise on health-related quality of life (HRQL), aerobic fitness and motivation to exercise in ageing men. Participants consisted of males who were either lifelong sedentary (SED; N = 25; age 63 +/- 5 years) or lifelong exercisers (LEX; N = 19; aged 61 +/- 5 years). [Formula: see text] and HRQL were measured at three phases: baseline (Phase A), week seven (Phase B) and week 13 (Phase C). Motivation to exercise was measured at baseline and week 13. [Formula: see text] was significantly higher in LEX (39.2 +/- 5.6 ml kg min(-1)) compared to SED (27.2 +/- 5.2 ml kg min(-1)) and increased in both groups from Phase A to C (SED 4.6 +/- 3.2 ml kg min(-1), 95 % CI 3.1 - 6.0; LEX 4.9 +/- 3.4 ml kg min(-1), 95 % CI 3.1-6.6) Physical functioning (97 +/- 4 LEX; 93 +/- 7 SED) and general health (70 +/- 11 LEX; 78 +/- 11 SED) were significantly higher in LEX but increased only in the SED group from Phase A to C (physical functioning 17 +/- 18, 95 % CI 9-26, general health 14 +/- 14, 95 % CI 8-21). Exercise motives related to social recognition (2.4 +/- 1.2 LEX; 1.5 +/- 1.0 SED), affiliation (2.7 +/- 1.0 LEX; 1.6 +/- 1.2 SED) and competition (3.3 +/- 1.3 LEX; 2.2 +/- 1.1) were significantly higher in LEX yet weight management motives were significantly higher in SED (2.9 +/- 1.1 LEX; 4.3 +/- 0.5 SED). The study provides preliminary evidence that low-volume HIIT increases perceptions of HRQL, exercise motives and aerobic capacity in older adults, to varying degrees, in both SED and LEX groups.
Objectives: To describe patterns of time use among regional and rural adolescent girls and compare identified clusters with respect to correlates of physical activity (PA) and health-related quality of life (HRQoL). Methods: Data were from Year 7-9 adolescent girls (aged 12-15 years) from 16 schools involved in a cluster-randomised trial in regional and rural Victoria, Australia (n = 494). Time use data were collected using 24-h Previous Day Physical Activity Recall (PDPAR-24) questionnaire, collapsed into 17 categories of time use. Differences between time use clusters with regard to demographics, correlates of PA and HRQoL measured using PedsQL 4.0 Generic Core Scales, were investigated. Results: Two time use clusters were identified and were associated with correlates of PA and HRQoL. Girls who spent significantly more time in teams sports, non-team sports, school classes, watching TV and sleeping had higher levels of positively aligned PA correlates (e.g. self-efficacy, perceived sports competence) and HRQoL than girls characterised with high levels of computer use and video gaming. Conclusions: These findings highlight how different activity patterns of regional and rural girls affect HRQoL and can inform future intervention strategies to improve PA levels and HRQoL. Clusters characterised by low levels of PA and high computer use and video gaming require targeted interventions to address barriers to their participation. (C) 2016 Published by Elsevier Ltd on behalf of Sports Medicine Australia.