133 results on '"Dunstan, D. W."'
Search Results
2. The effect of breaking up prolonged sitting on paired associative stimulation-induced plasticity
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Bojsen-Møller, E., Ekblom, M. M., Tarassova, O., Dunstan, D. W., and Ekblom, O.
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- 2020
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3. Influence of age and gender on fat mass, fat-free mass and skeletal muscle mass among Australian adults: The Australian diabetes, obesity and lifestyle study (AusDiab)
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Strugnell, C., Dunstan, D. W., Magliano, D. J., Zimmet, P. Z., Shaw, J. E., and Daly, Robin M.
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- 2014
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4. Associations of sedentary time patterns and TV viewing time with inflammatory and endothelial function biomarkers in children
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Gabel, L., Ridgers, N. D., Della Gatta, P. A., Arundell, L., Cerin, E., Robinson, S., Daly, R. M., Dunstan, D. W., and Salmon, J.
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- 2016
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5. Prospective relationships of adolescents' screen-based sedentary behaviour with depressive symptoms: the Millennium Cohort Study.
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Kandola, A., Owen, N., Dunstan, D. W., and Hallgren, M.
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SEDENTARY lifestyles ,CONFIDENCE intervals ,SOCIAL media ,INTERNET ,SELF-evaluation ,SCREEN time ,PHYSICAL activity ,MENTAL depression ,TEENAGERS' conduct of life ,QUESTIONNAIRES ,DESCRIPTIVE statistics ,VIDEO games ,LONGITUDINAL method ,ADOLESCENCE - Abstract
Background: Frequent use of screen-based devices could be a modifiable risk factor for adolescent depression, but findings have been inconsistent and mostly from cross-sectional studies. We examined prospective associations of video gaming, social media, and internet use with depressive symptoms in adolescents. Methods: A total of 11 341 adolescents from the Millennium Cohort Study, a representative, UK population-based. The main outcome was depressive symptoms from a Moods and Feelings Questionnaire (age 14). Exposures were frequency of video game, social media, and internet use (age 11). Physical activity (effect modifier) was measured by self-report. Results: The fully adjusted models indicated that boys playing video games most days, at least once a week, and at least once a month at age 11 had lower depression scores at age 14 by 24.2% (IRR = 0.77, 95% CI 0.66–0.91), 25.1% (IRR = 0.75, 95% CI 0.62–0.90), and 31.2% (IRR = 0.69, 95% CI 0.57–0.83), compared with playing less than once a month/never. In girls, compared with less than once a month/never, using social media most days at age 11 was associated with 13% higher depression scores at age 14 (IRR = 1.13, 95% CI 1.05–1.22). We found some evidence of associations between using the internet most days and depressive symptoms compared with less than once a month/never in boys (IRR = 0.86, 95% CI 0.75–1.00). More frequent video game use was consistently associated with fewer depressive symptoms in boys with low physical activity, but not in those with high physical activity. Conclusions: Different types of screen-time may have contrasting associations with depressive symptoms during adolescence. Initiatives to address adolescents' screen-time may require targeted approaches. [ABSTRACT FROM AUTHOR]
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- 2022
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6. Is the relationship between sedentary behaviour and cardiometabolic health in adolescents independent of dietary intake? A systematic review
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Fletcher, E., Leech, R., McNaughton, S. A., Dunstan, D. W., Lacy, K. E., and Salmon, J.
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- 2015
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7. Six-Month Outcomes from Living Well with Diabetes: A Randomized Trial of a Telephone-Delivered Weight Loss and Physical Activity Intervention to Improve Glycemic Control
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Eakin, E. G., Reeves, M. M., Winkler, E., Healy, G. N., Dunstan, D. W., Owen, N., Marshal, A. M., and Wilkie, K. C.
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- 2013
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8. Association between hyperglycaemia and fracture risk in non-diabetic middle-aged and older Australians: a national, population-based prospective study (AusDiab)
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Gagnon, C., Magliano, D. J., Ebeling, P. R., Dunstan, D. W., Zimmet, P. Z., Shaw, J. E., and Daly, R. M.
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- 2010
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9. Reducing occupational sedentary time: a systematic review and meta-analysis of evidence on activity-permissive workstations
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Neuhaus, M., Eakin, E. G., Straker, L., Owen, N., Dunstan, D. W., Reid, N., and Healy, G. N.
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- 2014
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10. Prospective relationships of adolescents’ screen-based sedentary behaviour with depressive symptoms: the Millennium Cohort Study
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Kandola, A., primary, Owen, N., additional, Dunstan, D. W., additional, and Hallgren, M., additional
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- 2021
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11. The effect of breaking up prolonged sitting on paired associative stimulation-induced plasticity.
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Bojsen-Møller, Emil, Ekblom, Maria, Tarassova, Olga, Dunstan, D W, Ekblom, Örjan, Bojsen-Møller, Emil, Ekblom, Maria, Tarassova, Olga, Dunstan, D W, and Ekblom, Örjan
- Abstract
Paired associative stimulation (PAS) can induce plasticity in the motor cortex, as measured by changes in corticospinal excitability (CSE). This effect is attenuated in older and less active individuals. Although a single bout of exercise enhances PAS-induced plasticity in young, physically inactive adults, it is not yet known if physical activity interventions affect PAS-induced neuroplasticity in middle-aged inactive individuals. Sixteen inactive middle-aged office workers participated in a randomized cross-over design investigating how CSE and short-interval intracortical inhibition (SICI) were affected by PAS preceded by 3 h of sitting (SIT), 3 h of sitting interrupted every 30 min by 3 min of frequent short bouts of physical activity (FPA) and 2.5 h of sitting followed by 25 min of moderate-intensity exercise (EXE). Transcranial magnetic stimulation was applied over the primary motor cortex (M1) of the dominant abductor pollicis brevis to induce recruitment curves before and 5 min and 30 min post-PAS. Linear mixed models were used to compare changes in CSE using time and condition as fixed effects and subjects as random effects. There was a main effect of time on CSE and planned within-condition comparisons showed that CSE was significantly increased from baseline to 5 min and 30 min post-PAS, in the FPA condition, with no significant changes in the SIT or EXE conditions. SICI decreased from baseline to 5 min post-PAS, but this was not related to changes in CSE. Our findings suggest that in middle-aged inactive adults, FPAs may promote corticospinal neuroplasticity. Possible mechanisms are discussed., Fysisk aktivitet och hälsosamma hjärnfunktioner bland kontorsarbetare. Delprojekt 2 Akuta interventioner
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- 2020
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12. Associations of TV viewing and physical activity with the metabolic syndrome in Australian adults
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Dunstan, D. W., Salmon, J., Owen, N., Armstrong, T., Zimmet, P. Z., Welborn, T. A., Cameron, A. J., Dwyer, T., Jolley, D., Shaw, J. E., and on behalf of the AusDiab Steering Committee
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- 2005
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13. Adverse associations of increases in television viewing time with 5-year changes in glucose homoeostasis markers: the AusDiab study
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Hansen, A. L. S., Wijndaele, K., Owen, N., Magliano, D. J., Thorp, A. A., Shaw, J. E., and Dunstan, D. W.
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- 2012
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14. Physical activity, family history of diabetes and risk of developing hyperglycaemia and diabetes among adults in Mainland China
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Xu, F., Wang, Y., Ware, R. S., Tse, Ah L., Dunstan, D. W., Liang, Y., Wang, Z., Hong, X., and Owen, N.
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- 2012
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15. A bi-directional relationship between obesity and health-related quality of life: evidence from the longitudinal AusDiab study
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Cameron, A J, Magliano, D J, Dunstan, D W, Zimmet, P Z, Hesketh, K, Peeters, A, and Shaw, J E
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- 2012
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16. Objectively assessed physical activity, sedentary time and waist circumference among prostate cancer survivors: findings from the National Health and Nutrition Examination Survey (2003–2006)
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LYNCH, B. M., DUNSTAN, D. W., WINKLER, E., HEALY, G. N., EAKIN, E., and OWEN, N.
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- 2011
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17. Differences in height explain gender differences in the response to the oral glucose tolerance test—the AusDiab study
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Sicree, R. A., Zimmet, P. Z., Dunstan, D. W., Cameron, A. J., Welborn, T. A., and Shaw, J. E.
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- 2008
18. Waist circumference, waist–hip ratio and body mass index and their correlation with cardiovascular disease risk factors in Australian adults
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DALTON, M., CAMERON, A. J., ZIMMET, P. Z., SHAW, J. E., JOLLEY, D., DUNSTAN, D. W., and WELBORN, T. A.
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- 2003
19. Foot complications in Type 2 diabetes: an Australian population-based study
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Tapp, R. J., Shaw, J. E., de Courten, M. P., Dunstan, D. W., Welborn, T. A., and Zimmet, P. Z.
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- 2003
20. EFFECTS OF HIGH-INTENSITY RESISTANCE TRAINING AND DIET ON GLYCEMIC CONTROL IN OLDER PERSONS WITH TYPE 2 DIABETES
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Dunstan, D W., Daly, R M., Lekhtman, E, Bauzon, H, McConell, K, Robinson, L, deCourten, M, Owen, N, and Zimmet, P
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- 2001
21. Evaluating the effectiveness of organisational-level strategies with or without an activity tracker to reduce office workers’ sitting time: a cluster-randomised trial
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Brakenridge, C. L., primary, Fjeldsoe, B. S., additional, Young, D. C., additional, Winkler, E. A. H., additional, Dunstan, D. W., additional, Straker, L. M., additional, and Healy, G. N., additional
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- 2016
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22. Building review 1980 and 1981.
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Dunstan, D. W.
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- 1983
23. Building review 1984 and 1985.
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Dunstan, D. W.
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- 1986
24. Building review 1982 and 1983.
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Dunstan, D. W.
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- 1984
25. Mediating effects of dietary intake on associations of TV viewing, body mass index and metabolic syndrome in adolescents
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Fletcher, E. A., primary, McNaughton, S. A., additional, Lacy, K. E., additional, Dunstan, D. W., additional, Carson, V., additional, and Salmon, J., additional
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- 2016
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26. Is the relationship between sedentary behaviour and cardiometabolic health in adolescents independent of dietary intake? A systematic review
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Fletcher, E, Leech, R, McNaughton, S A, Dunstan, D W, Lacy, K E, Salmon, J, Fletcher, E, Leech, R, McNaughton, S A, Dunstan, D W, Lacy, K E, and Salmon, J
- Abstract
Screen time, but not overall sedentary behaviour, is consistently related to cardiometabolic health in adolescents. Because of the associations screen time has with dietary intake, diet may be an important factor in the screen time and health relationship; however, evidence has not previously been synthesized. Thus, the aim of this systematic review was to explore whether the associations between various sedentary behaviours and cardiometabolic risk markers are independent of dietary intake in adolescents. Online databases and personal libraries were searched for peer-reviewed original research articles published in English before March 2014. Included studies assessed associations between sedentary behaviour and cardiometabolic markers in 12- to 18-year-olds and adjusted for dietary intake. Twenty-five studies met the inclusion criteria. From the 21 studies examining sedentary behaviour and adiposity, the majority found significant positive associations between television viewing, screen time and self-reported overall sedentary behaviour with markers of adiposity, independent of dietary intake. No significant associations between screen time with blood pressure and cholesterol were reported. Sedentary behaviour appears to be associated with adiposity in adolescents, irrespective of dietary intake. However, the variability of dietary variables between studies suggests further work is needed to understand the role of dietary intake when examining these associations in youth.
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- 2015
27. Associations of sedentary time patterns and TV viewing time with inflammatory and endothelial function biomarkers in children
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Gabel, L., primary, Ridgers, N. D., additional, Della Gatta, P. A., additional, Arundell, L., additional, Cerin, E., additional, Robinson, S., additional, Daly, R. M., additional, Dunstan, D. W., additional, and Salmon, J., additional
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- 2015
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28. Recommendations for physical activity in older adults
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Sparling, P. B., primary, Howard, B. J., additional, Dunstan, D. W., additional, and Owen, N., additional
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- 2015
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29. A bi-directional relationship between obesity and health-related quality of life : evidence from the longitudinal AusDiab study
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Cameron, A. J., Magliano, D. J., Dunstan, D. W., Zimmet, P. Z., Hesketh, K., Peeters, A., Shaw, J. E., Cameron, A. J., Magliano, D. J., Dunstan, D. W., Zimmet, P. Z., Hesketh, K., Peeters, A., and Shaw, J. E.
- Abstract
Objective: To assess the prospective relationship between obesity and health-related quality of life, including a novel assessment of the impact of health-related quality of life on weight gain. Design and setting: Longitudinal, national, population-based Australian Diabetes, Obesity and Lifestyle (AusDiab) study, with surveys conducted in 1999/2000 and 2004/2005. Participants: A total of 5985 men and women aged 25 years at study entry. Main outcome measure(s): At both time points, height, weight and waist circumference were measured and self-report data on health-related quality of life from the SF-36 questionnaire were obtained. Cross-sectional and bi-directional, prospective associations between obesity categories and health-related quality of life were assessed. Results: Higher body mass index (BMI) at baseline was associated with deterioration in health-related quality of life over 5 years for seven of the eight health-related quality of life domains in women (all P0.01, with the exception of mental health, P>0.05), and six out of eight in men (all P<0.05, with the exception of role-emotional, P=0.055, and mental health, P>0.05). Each of the quality-of-life domains related to mental health as well as the mental component summary were inversely associated with BMI change (all P<0.0001 for women and P0.01 for men), with the exception of vitality, which was significant in women only (P=0.008). For the physical domains, change in BMI was inversely associated with baseline general health in women only (P=0.023). Conclusions: Obesity was associated with a deterioration in health-related quality of life (including both physical and mental health domains) in this cohort of Australian adults followed over 5 years. Health-related quality of life was also a predictor of weight gain over 5 years, indicating a bi-directional association between obesity and health-rel
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- 2012
30. Response to letters regarding article, 'television viewing time and mortality : the Australian diabetes, obesity and lifestyle study (AusDiab)'
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Dunstan, D. W., Barr, E. L. M., Shaw, J. E., Magliano, D. J., Zimmet, P. Z., Salmon, J., Cameron, A. J., Owen, N., Healy, G. N, Balkau, B., Dunstan, D. W., Barr, E. L. M., Shaw, J. E., Magliano, D. J., Zimmet, P. Z., Salmon, J., Cameron, A. J., Owen, N., Healy, G. N, and Balkau, B.
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- 2010
31. Television viewing time and mortality : the Australian diabetes, obesity and lifestyle study (AusDiab)
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Dunstan, D. W., Barr, E. L. M., Healy, G. N., Salmon, J., Shaw, J. E., Balkau, B., Magliano, D. J., Cameron, A. J., Zimmet, P. Z., Owen, N., Dunstan, D. W., Barr, E. L. M., Healy, G. N., Salmon, J., Shaw, J. E., Balkau, B., Magliano, D. J., Cameron, A. J., Zimmet, P. Z., and Owen, N.
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- 2010
32. The inverse relationship between number of steps per day and obesity in a population-based sample - the AusDiab study
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Dwyer, T., Hosmer, D., Hosmer, T., Venn, A. J., Blizzard, C. L., Blair, S. N., Granger, R. H., Shaw, J. E., Zimmet, P. Z., Cochrane, J. A., Dunstan, D. W., Dwyer, T., Hosmer, D., Hosmer, T., Venn, A. J., Blizzard, C. L., Blair, S. N., Granger, R. H., Shaw, J. E., Zimmet, P. Z., Cochrane, J. A., and Dunstan, D. W.
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Background: Physical activity (PA) is inversely associated with obesity but the effect has been difficult to quantify using questionnaires. In particular, the shape of the association has not yet been well described. Pedometers provide an opportunity to better characterize the association. Methods: Residents of households over the age of 25 years in randomly selected census districts in Tasmania were eligible to participate in the AusDiab cross-sectional survey conducted in 1999–2000. 1848 completed the AusDiab survey and 1126 of these (609 women and 517 men) wore a pedometer for 2-weekdays. Questionnaire data on recent PA, TV time and other factors were obtained. The outcomes were waist circumference (in cm) and body mass index (BMI) (kg/m2). Results: Increasing daily steps were associated with a decline in the obesity measures. The logarithmic nature of the associations was indicated by a sharper decline for those with lower daily steps. For example, an additional 2000 steps for those taking only 2000 steps per day was associated with a reduction of 2.8 (95% confidence interval (CI): 2.1,4.4) cm in waist circumference among men (for women; 2.2 (95% CI: 0.6, 3.9 cm)) with a baseline of only 2000, steps compared to a 0.7 (95% CI 0.3, 1.1) cm reduction (for women; 0.6 (95% CI: 0.2, 1.0)) for those already walking 10 000 steps daily. In the multivariable analysis, clearer associations were detected for PA and these obesity measures using daily step number rather than PA time by questionnaire. Interpretation: Pedometer measures of activity indicate that the inverse association between recent PA and obesity is logarithmic in form with the greatest impact for a given arithmetic step number increase seen at lower levels of baseline activity. The findings from this study need to be examined in prospective settings.
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- 2007
33. A bi-directional relationship between obesity and health-related quality of life: evidence from the longitudinal AusDiab study
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Cameron, A J, primary, Magliano, D J, additional, Dunstan, D W, additional, Zimmet, P Z, additional, Hesketh, K, additional, Peeters, A, additional, and Shaw, J E, additional
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- 2011
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34. Physical Activity, Television Viewing Time, and Retinal Microvascular Caliber: The Multi-Ethnic Study of Atherosclerosis
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Anuradha, S., primary, Healy, G. N., additional, Dunstan, D. W., additional, Klein, R., additional, Klein, B. E., additional, Cotch, M. F., additional, Wong, T. Y., additional, and Owen, N., additional
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- 2011
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35. Waist circumference, waist-hip ratio and BMI and their correlation with cardiovascular risk factors in Australian adults
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Dalton, M., Cameron, A. J., Zimmet, P. Z., Shaw, J. E., Jolley, D., Dunstan, D. W., Welborn, T. A.., Dalton, M., Cameron, A. J., Zimmet, P. Z., Shaw, J. E., Jolley, D., Dunstan, D. W., and Welborn, T. A..
- Abstract
Objectives. To compare body mass index (BMI), waist circumference and waist–hip ratio (WHR) as indices of obesity and assess the respective associations with type 2 diabetes, hypertension and dyslipidaemia. Design and setting. A national sample of 11 247 Australians aged ≥25 years was examined in 2000 in a cross-sectional survey. Main outcome measures. The examination included a fasting blood sample, standard 2-h 75-g oral glucose tolerance test, blood pressure measurements and questionnaires to assess treatment for dyslipidaemia and hypertension. BMI, waist circumference and WHR were measured to assess overweight and obesity. Results. The prevalence of obesity amongst Australian adults defined by BMI, waist circumference and WHR was 20.8, 30.5 and 15.8% respectively. The unadjusted odds ratio for the fourth vs. first quartile of each obesity measurement showed that WHR had the strongest relationship with type 2 diabetes, dyslipidaemia (women only) and hypertension. Following adjustment for age, however, there was little difference between the three measures of obesity, with the possible exceptions of hypertension in women, where BMI had a stronger association, and dyslipidaemia in women and type 2 diabetes in men, where WHR was marginally superior. Conclusions. Waist circumference, BMI and WHR identified different proportions of the population, as measured by both prevalence of obesity and cardiovascular disease (CVD) risk factors. Whilst WHR had the strongest correlations with CVD risk factors before adjustment for age, the three obesity measures performed similarly after adjustment for age. Given the difficulty of using age-adjusted associations in the clinical setting, these results suggest that given appropriate cut-off points, WHR is the most useful measure of obesity to use to identify individuals with CVD risk factors.
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- 2003
36. Breaking up prolonged sitting reduces resting blood pressure in overweight/obese adults.
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Larsen, R N, Kingwell, B A, Sethi, P, Cerin, E, Owen, N, and Dunstan, D W
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- 2014
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37. IMPROVED CARDIOVASCULAR FITNESS AND GLYCEMIC CONTROL WITH EXERCISE TRAINING IN NIDDM PATIENTS
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Dunstan, D. W., primary, Mori, T. A., additional, Puddey, I. B., additional, Beilin, L. J., additional, Burke, V., additional, Stanton, K. G., additional, and Morton, A. R., additional
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- 1998
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38. The independent and combined effects of aerobic exercise and dietary fish intake on serum lipids and glycemic control in NIDDM. A randomized controlled study.
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Dunstan DW, Mori TA, Puddey IB, Beilin LJ, Burke V, Morton AR, Stanton KG, Dunstan, D W, Mori, T A, Puddey, I B, Beilin, L J, Burke, V, Morton, A R, and Stanton, K G
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- 1997
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39. Effects of a short-term circuit weight training program on glycaemic control in NIDDM
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Dunstan, D. W., Puddey, I. B., Beilin, L. J., Burke, V., Morton, A. R., and Stanton, K. G.
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- 1998
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40. Mediating effects of dietary intake on associations of TV viewing, body mass index and metabolic syndrome in adolescents
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Fletcher, E. A., Sarah A McNaughton, Lacy, K. E., Dunstan, D. W., Carson, V., and Salmon, J.
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BMI ,Original Article ,Original Articles ,television ,dietary intake ,metabolic syndrome - Abstract
Summary Objective Evidence suggests that TV viewing is associated with body mass index (BMI) and metabolic syndrome (MetS) in adolescents. However, it is unclear whether dietary intake mediates these relationships. Methods A cross‐sectional analysis was conducted in adolescents (12–19 years) participating in the 2003–2006 United States National Health and Nutrition Examination Survey. BMI z scores (zBMI) (n = 3,161) and MetS (n = 1,379) were calculated using age‐ and sex‐specific criteria for adolescents. TV viewing (h/day) was measured via a self‐reported questionnaire, and dietary intake was assessed using two 24‐h recalls. Using the MacKinnon method, a series of mediation analyses were conducted examining five dietary mediators (total energy intake, fruit and vegetable intake, discretionary snacks, sugar‐sweetened beverages and diet quality) of the relationships between TV viewing and zBMI and MetS. Results Small positive relationships were observed between TV viewing and zBMI (β = 0.99, p
41. Effects of dietary fish and exercise training on urinary F2-isoprostane excretion in non-insulin dependent diabetic patients
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Trevor A Mori, Dunstan, D. W., Kevin Croft, Rivera, J. H., Lawrence Beilin, and Ian Puddey
42. Health and mortality consequences of abdominal obesity: Evidence from the AusDiab study
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Cameron, A. J., Dunstan, D. W., Owen, N., Paul Zimmet, Barr, E. L. M., Tonkin, A. M., Magliano, D. J., Murray, S. G., Welborn, T. A., and Shaw, J. E.
43. Effect of omega-3 fatty acids on oxidative stress in humans: GC-MS measurement of urinary F2-isoprostane excretion
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Mori, Trevor A., Ian Puddey, Valerie Burke, Kevin Croft, Dunstan, D. W., Rivera, J. H., and Lawrence Beilin
44. Physical Activity, Television Viewing Time and Retinal Vascular Caliber: The Multi-Ethnic Study of Atherosclerosis
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Anuradha, S., Healy, G. N., Dunstan, D. W., Klein, R., Klein, B. E., Cotch, M. F., Owen, N., and Tien Y Wong
45. Iterative development of stand up Australia: a multi-component intervention to reduce workplace sitting
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Neuhaus, M., Healy, G. N., Fjeldsoe, B. S., Lawler, S., Owen, N., Dunstan, D. W., Lamontagne, A. D., and Elizabeth Eakin
46. Overweight and obesity in Australia: The 1999-2000 Australian diabetes, obesity and lifestyle study (AusDiab)
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Cameron, A. J., Welborn, T. A., Zimmet, P. Z., Dunstan, D. W., Neville Owen, Salmon, J., Dalton, M., Jolley, D., and Shaw, J. E.
47. 40 EASD Annual Meeting of the European Association for the Study of Diabetes : Munich, Germany, 5-9 September 2004
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Veitenhansl, M., Stegner, K., Hierl, F-X, Dieterle, C., Feldmeier, H., Gutt, B., Landgraf, R., Garrow, A. P., Vileikyte, L., Findlow, A., Waterman, C., Boulton, A. J. M., Shankhdhar, K., Shankhdhar, L., Shankhdhar, U., Petrova, N. L., Foster, A. V. M., Edmonds, M. E., Ferraresi, R., Caravaggi, C., Giglio, R., Cavaiani, P., Pogliaghi, I., Sommariva, E., Katz, I. A., Harlan, A., Miranda-Palma, B., Prieto-Sanchez, L., Armstrong, D. G., Bowker, J. H., Mizel, M. S., Cernea, S., Wohlgelernter, J., Kidron, M., Modi, P., Raz, I., Arbit, E., Nosek, L., Kapitza, C., Beckett, P., Gelfand, R., Goldberg, M., Heise, T., Testa, M. A., Turner, R. R., Hayes, J. F., Scranton, R. E., Simonson, D. C., Yang, Y-W, Hsu, Y-J, Naujok, O., Francini, F., Jorns, A., Tiedge, M., Lenzen, S., Abdel-Wahab, Y. H. A., Marenah, L., Orr, D. F., Shaw, C., Flatt, P. R., Chokkalingam, K., Mansell, P. I., Clausen, P., Ekbom, P., Damm, P., Feldt-Rasmussen, U., Nielsen, B., Mathiesen, E. R., Feldt-Rasmussen, B., Dewan, S., Da Silva, N., Ternan, P. Mc, Leong, K. S., Wilding, J. P. H., Asatiani, N., Kurashvili, R., Dundua, M., Shelestova, E., Pagava, K., Ramazashvili, M., Hod, M., Smirnov, S., Petersen, J. L. A., Justesen, T. I., Ringholm Nielsen, L., Muller, C., Hojlund, K., Wensaas, A., Kase, E. T., Aas, V., Rustan, A. C., Thoresen, G. H., Levin, K., Beck-Nielsen, H., Gaster, M., Im, S-S, Kang, S-Y, Kim, S-Y, Ahn, Y-H, Lihn, A. S., Schmoll, D., Werner, T., Kienitz, A., Meyer, M., Barthel, A., Ailett, F., Sutherland, C., Walther, R., Grempler, R., Sasson, S., Reich, R., Tenenbaum, T., Alpert, E., Anfossi, G., Russo, I., Traversa, M., Massucco, P., Mattiello, L., Doronzo, G., Trovati, M., Lally, S., Tan, C. Y., Owens, D., Tomkin, G. H., Porchay, I., Pean, F., Bellili, N., Betoulle, D., Balkau, B., Tichet, J., Marre, M., Fumeron, F., Group D.E.S.I.R., Chatellier, G., Alhenc-Gelas, F., Diabhycar, Study Group, Nichols, G. A., Brown, J. B., Hayes, R. P., Bowman, L., Drexel, H., Saely, C. H., Marte, T., Benzer, W., Langer, P., Hoefle, G., Moll, W., Aczel, S., Karagiannis, E., Lubben, G., Urquhart, R., Edwards, G., Bruce, S., Howlett, H. S. C., Cugnardey, N., Turner, K. C., Park, J-S, Fiedorek, F. T., Avogaro, A., Gallo, A., Pinton, P., Rizzuto, R., Murphy, E., Ceolotto, G., Caterson, I., Guy-Grand, B., Hill, J., Barone, M., Aiello, A., Allochis, G., Borzi, V., Cannata, F., Caronna, S., D Avanzo, A., Elli, R., Formoso, G., Paroli, A., Scardapane, R., Sorichetti, P., Tatti, P., Viviani, G., Santeusanio, F., Italian Repaglinide Study Group, Manzella, D., Grella, R., Abbatecola, A. M., Paolisso, G., Sondergaard, L. G., Monster, T. B. M., Johnsen, S. P., Olsen, M. L., Mclaughlin, J. K., Sorensen, H. T., Lervang, H. 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J., Kraenkel, N., Adams, V., Linke, A., Gielen, S., Schuler, G., Humbrecht, R., Cipollone, F., Iezzi, A., Fazia, M., Pini, B., Cucurullo, C., Cesare, D., Schmidt, A. M., Mazurek, T., Zang, L. F., Mannion, J., Diehl, J., Martin, J., Martella, A., Zalewski, A., Shi, Y., Otter, W., Winter, M., Doering, W., Standi, E., Schnell, O., Kragelund, C., Kober, L., Faber, J., Hildebrandt, P., Steffensen, R., Pankowska, E., Szypowska, A., Lipka, M., Herwig, J., Scholl-Schilling, G., Bohles, H., Robertson, K. J., Schonle, E., Gucev, Z., Mordhorst, L., Tamer, S. C., Gall, M-A, Ludvigsson, J., Hoogma, R. P. L., Hammond, P. J., Gomis, R., Kerr, D., Bruttomesso, D., Bouter, P., Wiefels, K. J., La Calle, H., Schweitzer, D. H., Pfohl, M., Torlone, E., Krinelke, L. G., 205-Nations Study Group, Conget, I., Storms, F., Rodriguez, J., Leperlier, C., Davies, M., At Lantus, Study Group, Peter, R., Luzio, S. D., Dunseath, G., Miles, A., Hare, B., Backx, K., Pauvaday, V., Owens, D. R., Caselli, A., Marfia, G. A., Battista, C., Veves, A., Spallone, V., Uccioli, L., Gonzalez, J. S., Peyrot, M. F., Rubin, R. R., Leventhal, H., Scheffler, N., Ulbrecht, J. S., Cavanagh, P. R., Boulton, A. J., Perrin, N. A., Oglesby, A., Bastyr, E. J., Ziegler, D., Siekierka-Kleiser, E., Meyer, B., Schweers, M., Selvarajah, D., Wilkinson, I. D., Emery, C. J., Shaw, P. J., Griffiths, P. D., Tesfaye, S., Obrosova, I. G., Arezzo, J., Phillips, K., Fidarestat Study Group, Gribble, F. M., Williams, L., Reimann, F., Iakoubov, R., Whiteside, C., Brubaker, P. L., Acitores, A., Gonzalez, N., Sancho, V., Valverde, I., Villanueva-Penacarrillo, M. L., Martin-Duce, A., Trigo, M. V., Arnes, L., Burkart, V., Ichino, N., Ohashi, A., Klein, B. S., Paxian, S., Schmid, R., Karlsen, A. E., Heding, P. E., Frobose, H., Ronn, S. G., Kruhoffer, M., Orntoft, T. F., Nerup, J., Mandrup-Poulsen, T., Billestrup, N., Cardozo, A. K., Ortis, F., Feng, Y-M, Rasschaert, J., Eylen, F., Storling, J., Herchuelz, A., Eizirik, D. L., Wang, H., Kouri, G., Wollheim, C. B., Ribaux, P., Hammar, E., Parnaud, G., Rouiller, D., Bosco, D., Halban, P., Midthjell, K., Carlsson, S., Grill, V., Lau, C., Farch, K., Glumer, C., Tetens, I., Jorgensen, T., Tillin, T., Forouhi, N., Mckeigue, P., Chaturvedi, N., Zethelius, B., Hales, C. N., Berne, C., Coleman, R. L., Stevens, R. J., Holman, R. R., Christensen, J. O., Sandbak, A., Lauritzen, T., Irwin, N., Gault, V. A., Green, B. D., Harriott, P., O Harte, F. P. M., Bouman, S. D., Urso, B., Brand, C. L., Rolin, B., Ribel, U., Schaffer, L., Maggs, D. G., Ceriello, A., Frias, J. P., Wang, Y., Ruggles, J. A., Kolterman, O. G., Piconi, L., Weyer, C., Want, L. L., Ratner, R. E., Uwaifo, G. I., Thornberry, N. A., Eiermann, G., Kim, D., Lankas, G., Leiting, B., Li, Z., Lyons, K., Petrov, A., Sinha Roy, R., Woods, A., Woods, J., Zhang, B. B., Fisher, M., Moller, D. E., Weber, A. E., Dreyer, M., Bellin, C., Schmitz, V., Roesen, R., Nescheret, A. P., Bose, A. K., Mocanu, M. M., Carr, R. 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W., Hendrie, D., Worthley, D., Nicolucci, A., Pellegrini, F., Berardis, G., Franciosi, M., Belfiglio, M., Rossi, M. C. E., Sacco, M., Valentini, M., Richardson, C. C., Jones, P., Persaud, S., Hussain, K., Clark, A., Christie, M. R., Gniuli, D., Hribal, M. L., Accili, D., Khan, M., Zervou, S., Cheung, L., Abouna, S., Ifandi, V., Pelengaris, S., Luco, R. F., Ferrer, J., Ma, D., Shield, J. P. H., Dean, W., Leclerc, I., Knauf, C., Burcelin, R., Kelsey, G., Powers, A. C., Shostak, A., Ferrara, N., Poffenberger, G., Jerome, W. G., Brissova, M., Geloneze, S. R., Tambascia, M. A., Pareja, J. C., Chaim, E., Silveira, H. V., Geloneze, B., Ravikumar, B., Carey, P. E., Snaar, J. E., Dheelchand, D., Cook, D. B., Neely, D., Taylor, G., Morris, P. G., Taylor, R., Stears, A. J., Masding, M. G., Wootton, S. A., Sandeman, D. D., Klimes, I., Wein, S., Gasperikova, D., Ukropec, J., Wiernsperger, N., Sebokova, E., Manco, M., Mingrone, G., Granato, L., Greco, A. V., Nanni, G., Castagneto, M., Vidal, H., Calvani, M., Ferrannini, E., Alvarsson, M., Sundkvist, G., Lager, I., Henricsson, M., Berntorp, K., Fernqvist-Forbes, E., Steen, L., Orn, T., Shutler, S., Bianchi-Biscay, M., Rosenstock, J., Sugimoto, D., Strange, P., Stewart, J., Soltes Rak, E., Dailey, G., Kloos, C., Muller, U., Samann, A., Femerling, M., Risse, A., Jecht, M., Haak, T., Garg, R., Lawrence, I. G., Akinsola, M. O., Davies, M. J., Mcnally, P. G., Garber, A. J., Kim, H., Draeger, E., Aydin, L., Sengul, A., Kurklu, A., Ucak, S., Basat, O., Seber, S., Altuntas, Y., Jin, J., Yu, Y., Yu, H., Zhang, X., Mattoo, V., Eckland, D., Widel, M., Duran, S., Fajardo, C., Strand, J., Knight, D., Oakley, D., Tan, M., Sato, A., Nagao, M., Aki, N., Nakagami, T., Iwamoto, Y., Zhou, Z., Li, X., Huang, G., Yan, X., Yang, L., Peng, J., Wang, J., Tan, S., Tang, W., Furnsinn, C., Brunmair, B., Wagner, L., Gras, F., Artwohl, M., Zierhut, B., Waldhausl, W., Shine, B. L., Hopkins, D., Anand, V., Lim, E., Raval, U., Sharp, P., Corder, R., Lipkin, D., Lahiri, A., Bartnik, M., Ryden, L., Ferrari, R., Malmberg, K., Pyorala, K., Simoons, M. L., Standl, E., Soler-Soler, J., Ohrvik, J., Euro Heart Survey Investigators, Bruce, D. G., Starkstein, S. E., Schauer, U. J. W., Astrup, A. S., Pietraszek, L., Nielsen, F. S., Rossing, P., Ali, S., Smidt, U. M., Yokoyama, H., Pavkov, M. E., Knowler, W. C., Bennett, P. H., Nelson, R. G., Lopez-Alba, A., Morcillo, L., Caballero, A., Montoya, L., Jimenez, A., Maceira, B., Lewis, J. B., Ravid, M., Wajman, A., Tadgell, C., Remuzzi, G., Hunsicker, L. G., Wessman, M., Taskinen, M-R, FinnDiane Study Group, Pugliese, G., Amadio, L., Menini, S., Oddi, G., Ricci, C., Iacobini, C., Pricci, F., Sorcini, M., Pesce, C., Migliaccio, E., Giorgio, M., Pelicci, P., Di Mario, U., Lassila, M., Jandeleit-Dahm, K., Seah, K. K., Calkin, A. C., Allen, T. J., Cooper, M. E., Lopes Faria, J. M., Cavakcanti, T. C., Silva, K. C., Ferrari, A. 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B., Richelsen, B., Dietze-Schroeder, D., Sell, H., Koenen, M., Eckel, J., Delporte, M-L L., Bauche, I. B., Brichard, S. M., Ait El Mkadem, S., Rezsohazy, R., Tsiotra, P. C., Tsigos, C., Gatsiou, C., Raptis, S. A., Walker, C. G., Bryson, J. M., Hancock, D. P., Caterson, I. D., Takahashi, N., Hatakeyama, H., Kasai, H., Gauthier, B. R., Iezzi, M., Fukuda, M., Duhamel, D. L., Ravier, M. A., Dufer, M., Neye, Y., Krippeit-Drews, P., Hennige, A. M., Sausbier, U., Arntz, C., Sausbier, M., Neuhuber, W., Ruth, P., Drews, G., Beauvois, M. C., Rolland, J-F, Jonas, J-C, Merezak, C., Henquin, J-C, Gilon, P., Jabin Gustafsson, A., Dzabic, M., Islam, M. S., Vaxillaire, M., Cheyssac, C., Dina, C., Vasseur-Delannoy, V., Lepretre, F., Siddiq, A., Froguel, P., Neve, B., Fernandez-Zapico, M. E., Ashkenazi-Katalan, V., Urrutia, R., Melloul, D., Froguel, R., Poulsen, P., Wojtaszewski, J., Richter, E., Vaag, A., Granhall, C., Renstrom, E., Luthman, H., Isomaa, B., Gloyn, A. L., Edghill, E. L., Pearson, E. 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48. Overweight and obesity in Australia: An underestimate of the true prevalence? (multiple letters)
- Author
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Coyne, T. J., Findlay, M. G., Ibiebele, T. I., Firman, D. W., Adrian Cameron, Zimmet, P. Z., Dunstan, D. W., and Shaw, J. E.
49. EFFECTS OF HIGHINTENSITY RESISTANCE TRAINING AND DIET ON GLYCEMIC CONTROL IN OLDER PERSONS WITH TYPE 2 DIABETES
- Author
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Dunstan, D W., Daly, R M., Lekhtman, E, Bauzon, H, McConell, K, Robinson, L, deCourten, M, Owen, N, and Zimmet, P
- Published
- 2001
50. Sedentary behaviour and bone health in older adults: a systematic review.
- Author
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McMichan L, Dick M, Skelton DA, Chastin SFM, Owen N, Dunstan DW, Fraser WD, Tang JCY, Greig CA, Agyapong-Badu S, and Mavroeidi A
- Subjects
- Absorptiometry, Photon, Aged, Cross-Sectional Studies, Female, Femur Neck, Humans, Male, Prospective Studies, Bone Density, Sedentary Behavior
- Abstract
Older adults spend more than 8 h/day in sedentary behaviours. Detrimental effects of sedentary behaviour (SB) on health are established, yet little is known about SB and bone health (bone mineral density; BMD) in older adults. The purpose of this review is to examine associations of SB with BMD in older adults. Five electronic databases were searched: Web of Science (Core Collection); PubMed; EMBASE; Sports Medicine and Education and PsycInfo. Inclusion criteria were healthy older adults mean age ≥ 65 years; measured SB and measured BMD using dual-energy X-ray absorptiometry. Quality was assessed using National Institute of Health Quality Assessment Tool for Observational Cohort and Cross-Sectional Studies. After excluding duplicates 17813 papers were assessed; 17757 were excluded on title/abstract, 49 at full text, resulting in two prospective and five cross-sectional observational studies reviewed. Four were rated 'good' and three were rated 'fair' using the quality assessment criteria. Findings varied across the studies and differed by gender. In women, four studies reported significant positive associations of SB with BMD at different sites, and two found significant negative associations. Five studies which examined both men and women, men reported negative or no associations of SB with femoral neck, pelvic, whole body, spine or leg BMD. Whilst these findings suggest differences between men and women in the associations of SB with BMD, they may be due to the varying anatomical sections examined for BMD, the different methods used to measure SB, the varied quality of the studies included and the limited number of published findings., (© 2021. International Osteoporosis Foundation and National Osteoporosis Foundation.)
- Published
- 2021
- Full Text
- View/download PDF
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