Risk factors of incident type 2-diabetes mellitus over a 3-year follow-up: Results from a large Australian sample

Ding, Ding; Chong, Shanley; Jalaludin, Bin; Comino, Elizabeth; Bauman, Adrian

doi:10.1016/j.diabres.2015.02.002

Cited by 49 publications

(61 citation statements)

References 44 publications

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“…Study characteristics Cohort size ranged from 916 to 675,496 people, with cumulative type 2 diabetes incidence ranging from 1.6% [42] to 27.5% [46]. Follow-up time varied from 3 [42] to 23.1 [60] years.…”

Section: Resultsmentioning

confidence: 99%

“…Follow-up time varied from 3 [42] to 23.1 [60] years. Twelve studies were conducted in the USA [12,14,35,38,46,58,[60][61][62][63][64][65], six in Asia [47,57,59,[66][67][68], two in Australia [40,42] and eight across Europe [13,36,37,39,41,[69][70][71]. All cohorts relied on self-reported PA collected using questionnaires or by interview, apart from one study in Hawaiians [58].…”

Section: Resultsmentioning

confidence: 99%

“…In the context of type 2 diabetes, earlier studies have found that dose-response curves may be different for Asian Ding et al (2015) [42] Burchfiel et al (1995) [58] Magliano et al (2008) [40] Steinbrecher et al (I) (2012) [38] Grøntved et al (2012) [61] Demakakos et al (2010) [71] Haapanen et al (II) (1997) [36] Krishnan et al (2009) [64] Chien et al (2009) [68] Folsom et al (2000) [62] Carlsson et al (2007) [41] Ekelund et al (II) (2012) [39] Nakanishi et al ( 2004) [57] Steinbrecher et al (II) (2012) [38] Meisinger et al (II) (2005) [37] Okada et al (2000) [66] Grøntved et al (II) (2014) [35] Fretts et al (2009) [46] Lynch et al (1996) [13] Meisinger et al (I) (2005) [37] Haapanen et al (I) (1997) [36] Subtotal (I Indians who may require more PA to be protected from their relatively higher susceptibility to develop type 2 diabetes [72,73]. A potential strength of our present analyses is the expression of PA exposure dose in MMET h/week rather than just MET h/week.…”

Section: Discussionmentioning

confidence: 99%

“…Studies reporting data independently for men and women [35][36][37][38][39] or for multiple cohorts within a study [35] were treated as separate observations. Studies reporting risk estimates relative to the highest category of PA were re-calculated to set the lowest PA [36,[40][41][42] category as the referent [43].…”

Section: Methodsmentioning

confidence: 99%

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Physical activity and incident type 2 diabetes mellitus: a systematic review and dose–response meta-analysis of prospective cohort studies

et al. 2016

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Aims/hypothesis Inverse associations between physical activity (PA) and type 2 diabetes mellitus are well known. However, the shape of the dose-response relationship is still uncertain. This review synthesises results from longitudinal studies in general populations and uses non-linear models of the association between PA and incident type 2 diabetes. Methods A systematic literature search identified 28 prospective studies on leisure-time PA (LTPA) or total PA and risk of type 2 diabetes. PA exposures were converted into metabolic equivalent of task (MET) h/week and marginal MET (MMET) h/week, a measure only considering energy expended above resting metabolic rate. Restricted cubic splines were used to model the exposure-disease relationship.Results Our results suggest an overall non-linear relationship; using the cubic spline model we found a risk reduction of 26% (95% CI 20%, 31%) for type 2 diabetes among those who achieved 11.25 MET h/week (equivalent to 150 min/week of moderate activity) relative to inactive individuals. Achieving twice this amount of PA was associated with a risk reduction of 36% (95% CI 27%, 46%), with further reductions at higher doses (60 MET h/week, risk reduction of 53%). Results for the MMET h/week dose-response curve were similar for moderate intensity PA, but benefits were greater for higher intensity PA and smaller for lower intensity activity. Conclusions/interpretation Higher levels of LTPA were associated with substantially lower incidence of type 2 diabetes in the general population. The relationship between LTPA and type 2 diabetes was curvilinear; the greatest relative benefits are achieved at low levels of activity, but additional benefits can be realised at exposures considerably higher than those prescribed by public health recommendations.

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Section: Resultsmentioning

confidence: 99%

Section: Resultsmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

See 2 more Smart Citations

Physical activity and incident type 2 diabetes mellitus: a systematic review and dose–response meta-analysis of prospective cohort studies

et al. 2016

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“…Some risk factors for the development of diabetes mellitus have been well established, such as excess weight, inadequate eating habits and physical inactivity 6,7,8 . However, recent evidence has indicated that a sedentary behavior may also be considered a risk factor for this disease 9 .…”

Section: Introductionmentioning

confidence: 99%

Associação entre tempo sentado e diabetes mellitus em idosos: um estudo de base populacional

Silva

Meneguci

Martins

et al. 2015

Rev. Bras. Cineantropom. Desempenho Hum.

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Physical activity, long‐term fine particulate matter exposure and type 2 diabetes incidence: A prospective cohort study

Li,

Liu,

Huang

et al. 2024

Chronic Diseases and Translational Medicine

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BackgroundDespite the adverse effects of ambient fine particulate matter (PM2.5) on type 2 diabetes and the beneficial role of physical activity (PA), the influence of PM2.5 on the relationship between PA and type 2 diabetes remains unclear.MethodsIn this prospective study with 71,689 participants, PA was assessed by a questionnaire and was categorized into quartiles for volume and three groups for intensity. Long‐term PM2.5 exposure was calculated using 1‐km resolution satellite‐based PM2.5 estimates. PM2.5 exposure and PA's effect on type 2 diabetes were assessed by cohort‐stratified Cox proportional hazards models, individually and in combination.ResultsIn 488,166 person‐years of follow‐up, 5487 incident type 2 diabetes cases were observed. The association between PA and type 2 diabetes was modified by PM2.5. Compared with the lowest quartile of PA volume, the highest quartile was associated with reduced type 2 diabetes risk in low PM2.5 stratification (≤65.02 µg/m3) other than in high PM2.5 stratification (>65.02 µg/m3), with the hazard ratio (HR) of 0.75 (95% confidence interval [CI]: 0.66–0.85) and 1.10 (95% CI: 0.99–1.22), respectively. Similar results were observed for PA intensity. High PM2.5 exposure combined with the highest PA levels increased the risk of type 2 diabetes the most (HR = 1.79, 95% CI: 1.59–2.01 for PA volume; HR = 1.82, 95% CI: 1.64–2.02 for PA intensity).ConclusionPA could reduce type 2 diabetes risk in low‐pollution areas, but high PM2.5 exposure may weaken or even reverse the protective effects of PA. Safety and health benefits of PA should be thoroughly assessed for long‐term polluted residents.

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Risk factors of incident type 2-diabetes mellitus over a 3-year follow-up: Results from a large Australian sample

Cited by 49 publications

References 44 publications

Physical activity and incident type 2 diabetes mellitus: a systematic review and dose–response meta-analysis of prospective cohort studies

Physical activity and incident type 2 diabetes mellitus: a systematic review and dose–response meta-analysis of prospective cohort studies

Associação entre tempo sentado e diabetes mellitus em idosos: um estudo de base populacional

Physical activity, long‐term fine particulate matter exposure and type 2 diabetes incidence: A prospective cohort study

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