Association between dementia parental family history and mid-life modifiable risk factors for dementia: a cross-sectional study using propensity score matching within the Lifelines cohort

Vrijsen, Joyce; Abu‐Hanna, Ameen; Rooij, Sophia E. de; Smidt, Nynke

doi:10.1136/bmjopen-2021-049918

Cited by 6 publications

(5 citation statements)

References 54 publications

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“…The UKBDRS includes established modifiable risk factors for dementia, namely stroke, type 2 diabetes, hypertension, and depression 25. Our score also included material deprivation, fewer years of education, parental history, and living alone (ie, social isolation) as markers of increased risk, all of which have been repeatedly associated with dementia 2 26 27…”

Section: Discussionmentioning

confidence: 99%

Development and validation of a dementia risk score in the UK Biobank and Whitehall II cohorts

Anatürk,

Patel,

Ebmeier

et al. 2023

BMJ Ment Health

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BackgroundCurrent dementia risk scores have had limited success in consistently identifying at-risk individuals across different ages and geographical locations.ObjectiveWe aimed to develop and validate a novel dementia risk score for a midlife UK population, using two cohorts: the UK Biobank, and UK Whitehall II study.MethodsWe divided the UK Biobank cohort into a training (n=176 611, 80%) and test sample (n=44 151, 20%) and used the Whitehall II cohort (n=2934) for external validation. We used the Cox LASSO regression to select the strongest predictors of incident dementia from 28 candidate predictors and then developed the risk score using competing risk regression.FindingsOur risk score, termed the UK Biobank Dementia Risk Score (UKBDRS), consisted of age, education, parental history of dementia, material deprivation, a history of diabetes, stroke, depression, hypertension, high cholesterol, household occupancy, and sex. The score had a strong discrimination accuracy in the UK Biobank test sample (area under the curve (AUC) 0.8, 95% CI 0.78 to 0.82) and in the Whitehall cohort (AUC 0.77, 95% CI 0.72 to 0.81). The UKBDRS also significantly outperformed three other widely used dementia risk scores originally developed in cohorts in Australia (the Australian National University Alzheimer’s Disease Risk Index), Finland (the Cardiovascular Risk Factors, Ageing, and Dementia score), and the UK (Dementia Risk Score).Clinical implicationsOur risk score represents an easy-to-use tool to identify individuals at risk for dementia in the UK. Further research is required to determine the validity of this score in other populations.

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Section: Discussionmentioning

confidence: 99%

Development and validation of a dementia risk score in the UK Biobank and Whitehall II cohorts

Anatürk,

Patel,

Ebmeier

et al. 2023

BMJ Ment Health

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“…Existing evidence has suggested potential mechanisms for the significant interactions. In addition to genetic factors, FHx was related to risk factors influencing the risk of dementia, such as physical and social activity, lipids, obesity, blood pressure, smoking status, and alcohol intake [ 45 ]. Notably, these traits were also associated with computer use.…”

Section: Discussionmentioning

confidence: 99%

Leisure-Time Television Viewing and Computer Use, Family History, and Incidence of Dementia

Zhuang,

Zhao,

Song

et al. 2023

Neuroepidemiology

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Introduction: Time spent on screen-based sedentary activities is significantly associated with dementia risk, however, whether the associations vary by family history (FHx) of dementia is currently unknown. We aimed to examine independent associations of two prevalent types of screen-based sedentary activities (television [TV] viewing and computer use) with dementia and assess the modifying effect of FHx. Methods: We included 415,048 individuals free of dementia from the UK Biobank. Associations of TV viewing, computer use, and FHx with dementia risk were determined using Cox regression models. We estimated both multiplicative- and additive-scale interactions between TV viewing and computer use and FHx. Results: During a median follow-up of 12.6 years, 5,549 participants developed dementia. After adjusting for potential confounding factors, we observed that moderate (2–3 h/day; hazard ratio [HR] 1.13, 95% confidence interval 0.03–1.23) and high (>3 h/day; 1.33, 1.21–1.46) TV viewing was associated with a higher dementia risk, compared with low (0–1 h/day) TV viewing. Using restricted cubic spline models, the relationship of TV viewing with dementia was nonlinear (relative to 0 h/day; p for nonlinear = 0.005). We found that >3 h/day of TV viewing was associated with a 42% (1.42, 1.18–1.71) higher dementia risk in participants with FHx while a 30% (1.30, 1.17–1.45) in those without FHx. For computer use, both low (0 h/day; 1.41, 1.33–1.50) and high (>2 h/day; 1.17, 1.05–1.29) computer use were associated with elevated dementia risk, compared with moderate (1–2 h/day) computer use. We observed a J-shaped relationship with dementia (relative to 2 h/day; p for nonlinear <0.001). Compared with 1–2 h/day of computer use, the HRs of dementia were 1.46 (1.29–1.65) and 1.10 (0.90–1.36) for 0 h/day and >2 h/day of computer use in participants with FHx, respectively, while the corresponding HRs were 1.40 (1.30–1.50) and 1.19 (1.06–1.33) in those without FHx. We observed a positive additive interaction (RERI 0.29, 0.06–0.53) between computer use and FHx, while little evidence of interaction between TV viewing and FHx. Conclusions: The time spent on TV viewing and computer use were independent risk factors for dementia, and the adverse effects of computer use and FHx were additive. Our findings point to new behavioral targets for intervention on preventing an early onset of dementia, especially for those with FHx.

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“…PD is the most common progressive movement disorder characterized by motor and non-motor symptoms. Conversely, AD is the most common form of dementia, and patients experience symptoms such as memory loss, inability to learn, and deterioration of behavioural function [ 69 ]. At present, more than one million people with PAD and 10.46 million AD patients live in Europe, and this number is forecast to double by 2030 [ 70 ].…”

Section: Bioactive Compounds From Plants As Antioxidant Anti-inflamma...mentioning

confidence: 99%

From Plants to Psycho-Neurology: Unravelling the Therapeutic Benefits of Bioactive Compounds in Brain Disorders

2023

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The brain′s sensitivity to oxidative stress and neuronal cell death requires effective pharmacotherapy approaches. Current pharmacological therapies are frequently ineffective and display negative side effects. Bioactive chemicals found in plants may provide a potential alternative due to their antioxidant and neuroprotective properties and can be used in therapy and the management of a variety of neuropsychiatric, neurodevelopmental, and neurodegenerative illnesses. Several natural products, including vitamin C, Cammelia sinensis polyphenols, Hypericum perforatum, and Crocus sativus have shown promise in lowering oxidative stress and treating symptoms of major depressive disorder (MDD). Similarly, bioactive compounds such as curcumin, luteolin, resveratrol, quercetin, and plants like Acorus gramineus, Rhodiola rosea, and Ginkgo biloba are associated with neuroprotective effects and symptom improvement in neurodevelopmental disorders such as autism spectrum disorder (ASD) and attention deficit/hyperactivity disorder (ADHD). Furthermore, in neurodegenerative diseases, natural compounds from Rhodiola rosea, Morinda lucida, and Glutinous rehmannia provide neurological improvement. Further study in clinical samples is required to thoroughly investigate the therapeutic advantages of these bioactive substances for persons suffering from these illnesses.

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Association between dementia parental family history and mid-life modifiable risk factors for dementia: a cross-sectional study using propensity score matching within the Lifelines cohort

Cited by 6 publications

References 54 publications

Development and validation of a dementia risk score in the UK Biobank and Whitehall II cohorts

Development and validation of a dementia risk score in the UK Biobank and Whitehall II cohorts

Leisure-Time Television Viewing and Computer Use, Family History, and Incidence of Dementia

From Plants to Psycho-Neurology: Unravelling the Therapeutic Benefits of Bioactive Compounds in Brain Disorders

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