Zhi Yuan Ning, Jing Lan Zhang, Bing Bing Fan, Yan Lin Qu, Chang Su, Tao Zhang
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Logistic regression and mediation models were used to estimate the interaction and mediation effects, respectively.</p><p><strong>Results: </strong>Three distinct BMI trajectory groups were identified: low-stable ( <i>n</i> = 1,625), medium-increasing ( <i>n</i> = 613), and high-increasing ( <i>n</i> = 98). Both interaction and mediation effects of BMI trajectories and IR on incident diabetes were significant ( <i>P</i> < 0.05). The proportion of incident diabetes was higher in the IR-obesity than in the insulin-sensitivity (IS) obesity group (18.9% <i>vs.</i> 5.8%, <i>P</i> < 0.001). After adjusting for covariates, the odds ratios (95% confidence intervals) of the IR, IS-obesity, and IR-obesity groups <i>vs.</i> the normal group were 3.22 (2.05, 5.16), 2.05 (1.00, 3.97), and 7.98 (5.19, 12.62), respectively. IR mediated 10.7% of the total effect of BMI trajectories on incident diabetes ( <i>P</i> < 0.001).</p><p><strong>Conclusion: </strong>We found strong interactions and weak mediation effects of IR on the relationship between life-course BMI trajectories and incident diabetes. IS-obesity is associated with a lower risk of incident diabetes than IR-obesity.</p>","PeriodicalId":93903,"journal":{"name":"Biomedical and environmental sciences : BES","volume":"38 6","pages":"706-715"},"PeriodicalIF":4.1000,"publicationDate":"2025-06-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Life-Course Trajectories of Body Mass Index, Insulin Resistance, and Incident Diabetes in Chinese Adults.\",\"authors\":\"Zhi Yuan Ning, Jing Lan Zhang, Bing Bing Fan, Yan Lin Qu, Chang Su, Tao Zhang\",\"doi\":\"10.3967/bes2025.072\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Objective: </strong>This study aimed to explore the interplay between the life-course body mass index (BMI) trajectories and insulin resistance (IR) on incident diabetes.</p><p><strong>Methods: </strong>This longitudinal cohort included 2,336 participants who had BMI repeatedly measured 3-8 times between 1989 and 2009, as well as glucose and insulin measured in 2009. BMI trajectories were identified using a latent class growth mixed model. The interplay between BMI trajectories and IR on diabetes was explored using the four-way effect decomposition method. Logistic regression and mediation models were used to estimate the interaction and mediation effects, respectively.</p><p><strong>Results: </strong>Three distinct BMI trajectory groups were identified: low-stable ( <i>n</i> = 1,625), medium-increasing ( <i>n</i> = 613), and high-increasing ( <i>n</i> = 98). Both interaction and mediation effects of BMI trajectories and IR on incident diabetes were significant ( <i>P</i> < 0.05). The proportion of incident diabetes was higher in the IR-obesity than in the insulin-sensitivity (IS) obesity group (18.9% <i>vs.</i> 5.8%, <i>P</i> < 0.001). 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引用次数: 0
摘要
目的:探讨生命历程体重指数(BMI)轨迹与胰岛素抵抗(IR)在糖尿病发病中的相互作用。方法:该纵向队列包括2336名参与者,他们在1989年至2009年期间重复测量BMI 3-8次,并在2009年测量葡萄糖和胰岛素。使用潜在类别增长混合模型确定BMI轨迹。采用四向效应分解法探讨BMI轨迹与IR对糖尿病的相互作用。采用Logistic回归和中介模型分别评估交互作用和中介效应。结果:确定了三个不同的BMI轨迹组:低稳定组(n = 1625)、中升高组(n = 613)和高升高组(n = 98)。BMI轨迹和IR对糖尿病发病的交互作用和中介作用均显著(P < 0.05)。ir肥胖组的糖尿病发生率高于胰岛素敏感性肥胖组(18.9% vs. 5.8%, P < 0.001)。调整协变量后,IR组、is -肥胖组和IR-肥胖组与正常组的比值比(95%置信区间)分别为3.22(2.05,5.16)、2.05(1.00,3.97)和7.98(5.19,12.62)。IR介导了BMI轨迹对糖尿病发生的10.7%的总影响(P < 0.001)。结论:我们发现IR在生命历程BMI轨迹与糖尿病发病率之间的相互作用强,中介作用弱。与ir型肥胖相比,is型肥胖发生糖尿病的风险较低。
Life-Course Trajectories of Body Mass Index, Insulin Resistance, and Incident Diabetes in Chinese Adults.
Objective: This study aimed to explore the interplay between the life-course body mass index (BMI) trajectories and insulin resistance (IR) on incident diabetes.
Methods: This longitudinal cohort included 2,336 participants who had BMI repeatedly measured 3-8 times between 1989 and 2009, as well as glucose and insulin measured in 2009. BMI trajectories were identified using a latent class growth mixed model. The interplay between BMI trajectories and IR on diabetes was explored using the four-way effect decomposition method. Logistic regression and mediation models were used to estimate the interaction and mediation effects, respectively.
Results: Three distinct BMI trajectory groups were identified: low-stable ( n = 1,625), medium-increasing ( n = 613), and high-increasing ( n = 98). Both interaction and mediation effects of BMI trajectories and IR on incident diabetes were significant ( P < 0.05). The proportion of incident diabetes was higher in the IR-obesity than in the insulin-sensitivity (IS) obesity group (18.9% vs. 5.8%, P < 0.001). After adjusting for covariates, the odds ratios (95% confidence intervals) of the IR, IS-obesity, and IR-obesity groups vs. the normal group were 3.22 (2.05, 5.16), 2.05 (1.00, 3.97), and 7.98 (5.19, 12.62), respectively. IR mediated 10.7% of the total effect of BMI trajectories on incident diabetes ( P < 0.001).
Conclusion: We found strong interactions and weak mediation effects of IR on the relationship between life-course BMI trajectories and incident diabetes. IS-obesity is associated with a lower risk of incident diabetes than IR-obesity.