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Comment
. 2023 Dec 18:14:1275182.
doi: 10.3389/fendo.2023.1275182. eCollection 2023.

Device-measured physical activity and type 2 diabetes mellitus risk

Wenzhao Li  1 , Weizhi Zhang  2 , Zhenhua Xing  3   4
Affiliations
Comment

Device-measured physical activity and type 2 diabetes mellitus risk

Wenzhao Li et al. Front Endocrinol (Lausanne). .

Abstract

Objectives: We investigated how device-measured physical activity (PA) volume (PA energy expenditure [PAEE]) and intensity (fraction of PAEE from moderate-to-vigorous PA [FMVPAEE]) were associated with the incidence of type 2 diabetes mellites (T2DM).

Methods: This population-based prospective cohort study included 90,044 participants. The primary exposures were PAEE and FMVPAEE. The secondary exposures were energy expenditure exerted during light, moderate, and vigorous PA and their fraction of PAEE.

Results: Each 1-SD increase in PAEE was associated with a 17% lower risk of T2DM (hazard ratio [HR]: 0.83, 95% confidence interval [CI]: 0.78-0.98). Each 1-SD increase in FMVPAEE was associated with a 21% lower incidence of T2DM (HR: 0.79, 95% CI: 0.74-0.83). Achieving the same PA volume (KJ/kg/day) through vigorous PA (HR: 0.88, 95% CI: 0.85-0.91) was more effective in preventing T2DM than moderate PA (HR: 0.97, 95% CI: 0.96-0.98) and light PA (HR: 0.99, 95% CI: 0.98-1.00).

Conclusion: A higher PA volume is associated with a lower incidence of T2DM. Achieving the same PA volumes through higher-intensity PA is more effective than low-intensity PA in reducing T2DM incidence.

Keywords: light physical activity; moderate physical activity; physical activity; type 2 diabetes mellites; vigorous physical activity.

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Conflict of interest statement

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Figures

Figure 1
Figure 1
Association between PA and T2DM. (A) PAEE (volume) and T2DM, The HRs were estimated using Model 3. (B) FMVPA (intensity) and T2DM, HR was estimated by adjusting for Model 3 and PAEE. The HRs are indicated by solid lines and 95% CIs by shaded areas. Distribution of PAEE and FMVPA of the sample and participants with T2DM are shown as histograms, respectively. CI, confidence interval; FMVPA, fraction of PAEE from MVPAEE; HR, hazard ratio; PA, physical activity PAEE, PA energy expenditure; T2DM, type 2 diabetes mellitus.
Figure 2
Figure 2
Risk matrix for the joint association between PAEE, FMVPA and T2DM. PAEE and FMVPAEE levels were divided into quartiles. The Q1 group was used as a reference. Hazard ratios were calculated using Cox regression Model 3. NA indicates that there was not enough participants to estimate the hazard ratio. FMVPAEE, fraction of PAEE from MVPAEE; PAEE, PA energy expenditure; T2DM, type 2 diabetes mellitus.
Figure 3
Figure 3
Joint associations between PAEE, FMVPAEE and T2DM by smooth curve. The FMVPA was divided into quartiles. The association between PAEE and T2DM risk was presented in the different FMVPAEE groups. The first quartiles of FMVPAEE and PAEE at 45 KJ/kg/day were used as references. FMVPAEE, fraction of PAEE from MVPAEE; PAEE, PA energy expenditure; T2DM, type 2 diabetes mellitus.
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References

    1. Type 2 diabetes—time to change our approach. Lancet (2010) 375(9733):2193. doi: 10.1016/S0140-6736(10)61011-2 - DOI - PubMed
    1. Shaw JE, Zimmet PZ, McCarty D, de Courten M. Type 2 diabetes worldwide according to the new classification and criteria. Diabetes Care (2000) 23 Suppl 2:B5–B10. - PubMed
    1. Burchfiel CM, Sharp DS, Curb JD, Rodriguez BL, Hwang LJ, Marcus EB, et al. Physical activity and incidence of diabetes: the Honolulu Heart Program. Am J Epidemiol (1995) 141(4):360–8. doi: 10.1093/aje/141.4.360 - DOI - PubMed
    1. Aune D, Norat T, Leitzmann M, Tonstad S, Vatten LJ. Physical activity and the risk of type 2 diabetes: a systematic review and dose-response meta-analysis. Eur J Epidemiol (2015) 30(7):529–42. doi: 10.1007/s10654-015-0056-z - DOI - PubMed
    1. Olds TS, Gomersall SR, Olds ST, Ridley K. A source of systematic bias in self-reported physical activity: The cutpoint bias hypothesis. J Sci Med Sport (2019) 22(8):924–8. doi: 10.1016/j.jsams.2019.03.006 - DOI - PubMed

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