de Hoogh Iris M, Snel Tim, Kamstra Regina J M, Krone Tanja, de Graaf Albert A, Pijl Hanno
Unit Healthy Living and Work, Netherlands Organization for Applied Scientific Research (TNO), Leiden, The Netherlands.
Department of Internal Medicine, Leiden University Medical Center (LUMC), Leiden, The Netherlands.
Diabetes Obes Metab. 2025 Oct;27(10):5950-5961. doi: 10.1111/dom.16654. Epub 2025 Jul 25.
The effects of lifestyle on glucose metabolism significantly differ between individuals. Hyperglycaemia in type 2 diabetes is driven by tissue-specific insulin resistance and reduced beta-cell capacity, whose relative contribution varies between persons, potentially affecting the impact of lifestyle interventions. We quantified effects of lifestyle on continuously measured glucose (CGM) metrics and evaluated how these differ between type 2 diabetes subtypes.
This is a repeated-measures study with 40 persons with type 2 diabetes. Participants wore a CGM for 11 self-monitoring periods of 4 days, of which 3 were control and 4 were duplicated intervention periods (2× low carbohydrate diet, 2× Mediterranean diet, 2× walking after each meal and 2× 'active day' (hourly 5-min exercise bouts)). The order of the intervention periods was randomised. Tissue-specific insulin resistance and beta-cell function were quantified using an OGTT and were used to assign participants to diabetes subtypes or 'diabetypes'. A linear mixed effects model quantified lifestyle impact on CGM metrics.
On average, a low carbohydrate diet, walking after meals, and an active day, but not the Mediterranean diet, resulted in lower mean glucose (-0.95 (CI: -1.13, -0.77), -0.28 (CI: -0.46, -0.1), -0.2 (CI: -0.38, -0.02) and -0.13 (CI: -0.13, 0.05) mmol/L, respectively) as compared with control (8.73 mmol/L, CI: 8.02-9.44) in participants who did not restrict carbohydrate intake at baseline. Preliminary analysis suggests the magnitude and direction of effects may vary between diabetypes.
Traditional lifestyle interventions improved CGM metrics within 4 days. Preliminary analysis suggests the effects may vary depending on the diabetes phenotype.
生活方式对葡萄糖代谢的影响在个体间存在显著差异。2型糖尿病中的高血糖由组织特异性胰岛素抵抗和β细胞功能降低所致,其相对贡献因人而异,这可能会影响生活方式干预的效果。我们量化了生活方式对连续测量血糖(CGM)指标的影响,并评估了这些影响在2型糖尿病亚型之间的差异。
这是一项针对40名2型糖尿病患者的重复测量研究。参与者在11个为期4天的自我监测期内佩戴CGM,其中3个为对照期,4个为重复干预期(2次低碳水化合物饮食、2次地中海饮食、2次每餐饭后步行以及2次“活跃日”(每小时进行5分钟的运动时段))。干预期的顺序是随机的。使用口服葡萄糖耐量试验(OGTT)对组织特异性胰岛素抵抗和β细胞功能进行量化,并用于将参与者分配到糖尿病亚型或“糖尿病类型”。线性混合效应模型量化了生活方式对CGM指标的影响。
平均而言,低碳水化合物饮食、每餐饭后步行和活跃日,但不包括地中海饮食,与基线时不限制碳水化合物摄入量的参与者的对照期(8.73 mmol/L,可信区间:8.02 - 9.44)相比,分别导致平均血糖降低(分别为-0.95(可信区间:-1.13,-0.77)、-0.28(可信区间:-0.46,-0.1)、-0.2(可信区间:-0.38,-0.02)和-0.13(可信区间:-0.13,0.05)mmol/L)。初步分析表明,不同糖尿病类型的影响程度和方向可能有所不同。
传统生活方式干预在4天内改善了CGM指标。初步分析表明,效果可能因糖尿病表型而异。