Finally, we used univariate and you will multivariate logistic regression analyses to evaluate the brand new dating between worst glycemic control and you can every day actions

Finally, we used univariate and you will multivariate logistic regression analyses to evaluate the brand new dating between worst glycemic control and you can every day actions

Initially, the participants were segregated into 2 groups according to the glycemic control (poor glycemic control and better glycemic control). The characteristics of the participants were compared between the groups by Student’s t-test, Mann–Whitney U-test, and chi-squared test. We then divided the patients into 4 groups according to quartiles of the average daily steps for 6 months’ period after discharge (1st quartile [Q1] – 4th quartile [Q4]). In the multivariate analysis, we assessed each covariate and adjusted results for the average daily steps during hospitalization and characteristics that were significantly different between poor and better glycemic control. Statistical significance was set at a p-value of < 0.05 for all analyses. Statistical analyses were performed using SPSS software version 25.0 (IBM, Tokyo, Japan).


The clinical and demographic characteristics of the participants are shown in Table 1. Based on the inclusion and exclusion criteria, a total of 125 patients admitted to the diabetes management and education program were included in the analysis, and complete follow-up data was obtained from 94 patients. The median age (IQR) of the study participants was 59.0 (46.0–68.0) years, 27 (28.7%) were female, and the median HbA1c at baseline (IQR) was 8.9 (8.0–10.9) %. The proportions of poor glycemic control group and the better glycemic control group were 40% (n = 38) and 60% (n = 56), respectively. Significant differences were observed in the duration of diabetes (p = 0.010), diabetic microvascular complications (p = 0.013), comorbidities (p = 0.010), past education hospitalization program (p < 0.001), living alone (p = 0.035), and steps for 6 months' period after discharge (p = 0.009) between the two groups. The average daily steps for 6 months' period after discharge in the Q4, Q3, Q2, and Q1 groups were ? 10,542 steps/day, 8259–10,541 steps/day, 6107–8258 steps/day, and ? 6106 steps/day, respectively.

The outcome of logistic regression analysis into relationships ranging from mediocre everyday methods having 6 months’ period after launch and you may poor glycemic handle get in the Table dos. Q1 (potential proportion [OR]: 8.55, 95% depend on period [95% CI]: step 1.43–, p = 0.019) and you may Q2 (OR: , 95% CI: dos.63–, p = 0.003) teams got somewhat elevated dangers of poor glycemic manage predicated on multivariate analyses playing with Q4 due to the fact site.


In this prospective cohort research, i investigated the partnership anywhere between objectively mentioned PA to possess 6 months’ several months after launch and you can glycemic handle inside the T2DM customers. We learned that the new Q1 (? 6106 tips/day) and you may Q2 (6107–8258 measures/day) teams had significantly increased risks of terrible glycemic manage according to multivariate analyses using Q4 (? ten,542) because the resource. This impact helps our hypothesis one to all the way down everyday steps in the fresh new long-name is actually of bad glycemic control inside T2DM customers.

Our very own results indicated that T2DM people that have all the way down every day stages in the fresh enough time-title tended to provides worst glycemic control. Our very own wanting is consistent with previous meta-study knowledge indicating one improved PA are for the improvement in glycemic control inside T2DM customers. 14,19 Ergo, the fresh new findings of your analysis and earlier in the day training one another recommend new need for maintaining 1000s of every day stages in the latest long-label to obtain most readily useful glycemic control when you look at the T2DM people.

Within data, glycemic handle is determined by this new every day amount of steps, yet not the latest duration invested in day-after-day walking at the an average-power level. Such details apparently strongly recommend contradictory results: the number of everyday actions was relatively highest, in addition to period invested each and every day taking walks at a moderate-power peak is relatively lowest compared to those from inside the prior training. twenty-four,36–41 These inaccuracies ranging from our very own investigation and those regarding previous studies ; demographics. Our very own study provided players who were young, got large PA, together with high a position condition compared to those regarding earlier in the day training. Ergo, it’s believed that middle-aged professionals, who made every investigation players, managed ideal glycemic handle by growing light-strength PA, particularly strolling in their commute and you will moving into the office.

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