Personal social network strengthens adherence to lifestyle changes in individuals with subjective cognitive decline.

IF 4 Q1 CLINICAL NEUROLOGY
Ismael L Calandri, Carolina A Ardohain, Sofia A Elgani, Emiliana Seminara, Micaela A Hernandez, Rik Ossenkoppele, Ricardo F Allegri
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Abstract

Introduction: Providing medical advice regarding lifestyle changes is currently the most effective intervention for delaying dementia onset among individuals with subjective cognitive decline (SCD). Adherence to such advice can be influenced by individual's social environment. We measured that impact within a Latinamerican population.

Methods: We recruited 183 SCD individuals from a Memory Clinic, analyzed their health-related, and provided them with medical advice. We assessed personal network composition and its healthy habits. We evaluated adherence to medical advice 6 months later.

Results: The proportion of heavy drinkers in the network is a risk factor to reduce alcohol consumption (odds ratio [OR] = 31.2, 95% confidence interval [CI] [3.73,301], p = 0.002), poor diets in the network hinders improving diet (p < 0.001 OR = 74.1, 95% CI [14.7,471]), and sedentary people in the network make it difficult to start exercising (OR = 4.92 95% CI [1.39,18.8], p = 0.016).

Discussion: Personal networks have an inertial effect, as relationships engaged in an unhealthy habit lower the probability of individuals to quit that habit.

个人社交网络有助于主观认知能力下降的人坚持改变生活方式。
导言:目前,向主观认知能力下降(SCD)患者提供有关改变生活方式的医疗建议是延缓痴呆症发病的最有效干预措施。个人的社会环境可能会影响对这些建议的坚持。我们在拉丁美洲人群中测量了这种影响:我们从一家记忆诊所招募了 183 名 SCD 患者,分析了他们的健康状况,并为他们提供了医疗建议。我们评估了个人网络构成及其健康习惯。6 个月后,我们对医疗建议的遵守情况进行了评估:结果:网络中酗酒者的比例是减少饮酒的风险因素(几率比 [OR] = 31.2,95% 置信区间 [CI] [3.73,301],P = 0.002),网络中的不良饮食习惯阻碍了饮食的改善(P = 0.016):讨论:人际关系网络具有惯性效应,因为从事某种不健康习惯的人际关系会降低个人戒除该习惯的概率。
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来源期刊
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.
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