Objective: To identify the midlife risk factors for subtypes of dementia newly developed later in life.
Methods: A nested case-control study was conducted on 157 demented cases and 628 comparison cases selected from 40,636 men and women who were enrolled from 1982 to 1992. Four comparison cases were frequency-matched on age, time at enrollment (within 6 months), gender, and residential township. Midlife risk factors included vascular risk factors (body mass index [BMI], total cholesterol, total triglycerides, blood glucose, cerebrovascular accident [CVA] history, diabetes mellitus history, and hypertension history), cigarette smoking, and alcohol consumption. Dementia assessments were ascertained through the computerized data linkage from National Health Insurance Database from 2000 to 2002 and clinically confirmed by neurologists or psychiatrists. Conditional logistic regression analysis was used to estimate the matched odds ratio (OR) and its 95% confidence intervals (CI) for each risk factor.
Results: A J-shaped relationship was observed between BMI (kg/m(2)) and dementia. The multivariate-adjusted ORs (95% CI) of developing dementia were 1.84 (1.02-3.33), 1.87 (1.08-3.23) and 2.44 (1.39-4.28), respectively, for BMIs of <20.5, 23.0-25.4, >or=25.5 compared with a BMI of 20.5-22.9 as the referent group (OR = 1.0). Similar findings were observed for Alzheimer disease (AD) and vascular dementia (VaD). The association between obesity (BMI >or=25.5) and both AD and VaD was statistically significant among cigarette smokers but not among nonsmokers. Additionally, history of CVA was a significant risk factor for VaD, but not for AD.
Conclusion: Being underweight, being overweight, and a cerebrovascular accident in midlife may increase the risk of dementia in late life.
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http://dx.doi.org/10.1097/JGP.0b013e318050c98f | DOI Listing |
Cardiovasc Toxicol
January 2025
Department of Cadre Ward, The First Affiliated Hospital of Harbin Medical University, No. 23, Postal Street, Harbin, 150001, Heilongjiang, PR China.
Atherosclerosis risk is elevated in diabetic patients, but the underlying mechanism such as the involvement of macrophages remains unclear. Here, we investigated the underlying mechanism related to the pro-inflammatory activation of macrophages in the development of diabetic atherosclerosis. Bioinformatics tools were used to analyze the macrophage-related transcriptome differences in patients with atherosclerosis and diabetic mice.
View Article and Find Full Text PDFEcohealth
January 2025
Forestry and Forest Products Research Institute, Matsunosato 1, Tsukuba, Ibaraki, 305-8687, Japan.
Anthropogenic disturbances degrade ecosystems, elevating the risk of emerging infectious diseases from wildlife. However, the key environmental factors for preventing tick-borne disease infection in relation to host species, landscape components, and climate conditions remain unknown. This study focuses on identifying crucial environmental factors contributing to the outbreak of severe fever with thrombocytopenia syndrome (SFTS), a tick-borne disease, in Miyazaki Prefecture, southern Japan.
View Article and Find Full Text PDFInt Urol Nephrol
January 2025
Department of Nephrology, Jiangxi Medical College, The Second Affiliated Hospital, Nanchang University, Nanchang, Jiangxi, China.
Purpose: To clarify the causal association between cardiovascular proteins and diabetic nephropathy (DN) in Europeans.
Methods: The large genome-wide association study data of cardiovascular proteins and DN were used for this two-sample Mendelian randomization (MR) analysis. We took the Inverse variance weighted (IVW) as the primary method.
Psychiatr Pol
October 2024
Śląskie Centrum Chorób Serca w Zabrzu; Katedra i Klinika Kardiochirurgii, Transplantologii, Chirurgii Naczyniowej i Endowaskularnej, Wydział Nauk Medycznych w Zabrzu, SUM w Katowicach.
During qualification for mechanical circulatory support, the comprehensive assessment of a patient's mental state is an integral element of the overall medical evaluation. It encompasses a range of psychosocial issues, and as such provides information helpful in the selection of a suitable candidate for the required treatment, and sometimes identifies contraindications to it. It allows ensuring that the patient meets expectations regarding both mental health stability and adherence to medical recommendations.
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