Sex- and age-specific effect of known type 2 diabetes mellitus on incident mild cognitive impairment five years later: Results from the population-based Heinz Nixdorf Recall study.

IF 4.4 Q1 CLINICAL NEUROLOGY

Alzheimer''s and Dementia: Diagnosis, Assessment and Disease Monitoring Pub Date : 2025-06-11 eCollection Date: 2025-04-01 DOI:10.1002/dad2.70130

Anna Lena Platzbecker, Janine Gronewold, Sara Schramm, Susanne Moebus, Andreas Stang, Börge Schmidt, Christian Weimar, Martha Jokisch

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引用次数: 0

Abstract

Introduction: As studies on the association between type 2 diabetes mellitus (T2DM) and mild cognitive impairment (MCI), including amnestic (aMCI) and non-amnestic (naMCI) subtypes, vary by sex and age, we investigated the sex- and age-specific effects of T2DM on incident MCI after five years in a population-based sample.

Methods: A total of 145 participants with T2DM and 1322 without T2DM were included. MCI was defined using established criteria excluding subjective cognitive decline. Adjusted relative risks (aRRs) were calculated considering age, education, body mass index, smoking, and alcohol intake, and stratified by sex and age (middle-aged: 50-65 years; old-aged: 66-80 years).

Results: MCI occurred in 39.3% (n = 57) of participants with T2DM versus 27.5% (n = 363) without (aRR: 1.29, 95% confidence interval [CI]: 0.97-1.73). Middle-aged men showed an association with naMCI (aRR: 2.35, 95% CI: 1.26-4.39) and middle-aged women with aMCI (aRR: 2.05, 95% CI: 0.58-7.21).

Discussion: T2DM increases MCI risk, particularly in middle-aged individuals with poorly controlled T2DM, emphasizing the need for prevention strategies.

Highlights: Longitudinal results from the population-based Heinz Nixdorf Recall study in Germany.Incident mild cognitie impairment (MCI) was more common in type 2 diabetes mellitus (T2DM; 39% vs 28%).T2DM affects incident MCI and subtypes in middle-aged, not old-aged; stronger in men with poorly controlled T2DM.Importance of enhancing age- and sex-specific prevention at the population level.

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已知2型糖尿病对5年后轻度认知障碍的性别和年龄特异性影响：基于人群的Heinz Nixdorf回忆研究结果

导读：关于2型糖尿病（T2DM）与轻度认知障碍（MCI）（包括遗忘（aMCI）和非遗忘（naMCI）亚型）之间关系的研究因性别和年龄而异，我们在基于人群的样本中调查了5年后T2DM对MCI发生的性别和年龄特异性影响。方法：共纳入145例T2DM患者和1322例非T2DM患者。MCI的定义采用排除主观认知能力下降的既定标准。考虑年龄、受教育程度、体重指数、吸烟和饮酒，计算调整后的相对危险度（aRRs），并按性别和年龄分层(中年：50-65岁；老年：66-80岁)。结果：39.3% （n = 57）的T2DM患者发生MCI，而非T2DM患者发生MCI的比例为27.5% (n = 363) （aRR: 1.29, 95%可信区间[CI]: 0.97-1.73）。中年男性与naMCI相关（aRR: 2.35, 95% CI: 1.26-4.39），中年女性与aMCI相关（aRR: 2.05, 95% CI: 0.58-7.21）。讨论：T2DM增加MCI风险，特别是在T2DM控制不良的中年人中，强调了预防策略的必要性。重点：来自德国基于人群的Heinz Nixdorf回忆研究的纵向结果。轻度认知障碍（MCI）在2型糖尿病(T2DM；39%对28%)。T2DM影响中年MCI的发生和亚型，而不是老年；在控制不佳的2型糖尿病患者中更强。在人口层面加强针对年龄和性别的预防的重要性。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Alzheimer''s and Dementia: Diagnosis, Assessment and Disease Monitoring Medicine-Psychiatry and Mental Health

CiteScore

7.80

自引率

7.50%

发文量

101

审稿时长

8 weeks

期刊介绍： Alzheimer''s & Dementia: Diagnosis, Assessment & Disease Monitoring (DADM) is an open access, peer-reviewed, journal from the Alzheimer''s Association® that will publish new research that reports the discovery, development and validation of instruments, technologies, algorithms, and innovative processes. Papers will cover a range of topics interested in the early and accurate detection of individuals with memory complaints and/or among asymptomatic individuals at elevated risk for various forms of memory disorders. The expectation for published papers will be to translate fundamental knowledge about the neurobiology of the disease into practical reports that describe both the conceptual and methodological aspects of the submitted scientific inquiry. Published topics will explore the development of biomarkers, surrogate markers, and conceptual/methodological challenges. Publication priority will be given to papers that 1) describe putative surrogate markers that accurately track disease progression, 2) biomarkers that fulfill international regulatory requirements, 3) reports from large, well-characterized population-based cohorts that comprise the heterogeneity and diversity of asymptomatic individuals and 4) algorithmic development that considers multi-marker arrays (e.g., integrated-omics, genetics, biofluids, imaging, etc.) and advanced computational analytics and technologies.