Nutritional status and body composition by bioelectrical impedance vector analysis: A cross sectional study in mild cognitive impairment and Alzheimer’s disease - Fig 1

<p><b>A</b> Distribution of confidence ellipses of men with Alzheimer’s dementia (AD), Mild Cognitive Impairment (MCI) and healthy controls (HC). <b>B</b> Distribution of confidence ellipses of women with Alzheimer’s dementia (AD), Mild Cognitive Impairment (MCI) and healthy controls (HC).</p

Descriptive and comparative statistics for the psycho-functional, anthropometric, multidimensional and bioelectrical variables in healthy controls (HC), Mild Cognitive Impairment (MCI) and Alzheimer’s disease (AD) women.

<p>Descriptive and comparative statistics for the psycho-functional, anthropometric, multidimensional and bioelectrical variables in healthy controls (HC), Mild Cognitive Impairment (MCI) and Alzheimer’s disease (AD) women.</p

Supplemental Material, Figure_S1 - Living Alone and Dementia Incidence: A Clinical-Based Study in People With Mild Cognitive Impairment

<p>Supplemental Material, Figure_S1 for Living Alone and Dementia Incidence: A Clinical-Based Study in People With Mild Cognitive Impairment by Giulia Grande, Davide Liborio Vetrano, Ilaria Cova, Simone Pomati, Daniele Mattavelli, Laura Maggiore, Valentina Cucumo, Roberta Ghiretti, Nicola Vanacore, Claudio Mariani, and Debora Rizzuto in Journal of Geriatric Psychiatry and Neurology</p

Risk factors for multimorbidity in adulthood: a systematic review

Multimorbidity, the coexistence of multiple chronic diseases in an individual, is highly prevalent and challenging for healthcare systems. However, its risk factors remain poorly understood. Objective To systematically review studies reporting multimorbidity risk factors. Methods A PRISMA-compliant systematic review was conducted, searching electronic databases (MEDLINE, EMBASE, Web of Science, Scopus). Inclusion criteria were studies addressing multimorbidity transitions, trajectories, continuous disease counts, and specific patterns. Non-human studies and participants under 18 were excluded. Associations between risk factors and multimorbidity onset were reported. Results Of 20,806 identified studies, 68 were included, with participants aged 18–105 from 23 countries. Nine risk factor categories were identified, including demographic, socioeconomic, and behavioral factors. Older age, low education, obesity, hypertension, depression, low pysical function were generally positively associated with multimorbidity. Results for factors like smoking, alcohol consumption, and dietary patterns were inconsistent. Study quality was moderate, with 16.2% having low risk of bias. Conclusions Several risk factors seem to be consistently associated with an increased risk of accumulating chronic diseases over time. However, heterogeneity in settings, exposure and outcome, and baseline health of participants hampers robust conclusions.</p

Risk factors for multimorbidity in adulthood: a systematic review

Multimorbidity, the coexistence of multiple chronic diseases in an individual, is highly prevalent and challenging for healthcare systems. However, its risk factors remain poorly understood. Objective To systematically review studies reporting multimorbidity risk factors. Methods A PRISMA-compliant systematic review was conducted, searching electronic databases (MEDLINE, EMBASE, Web of Science, Scopus). Inclusion criteria were studies addressing multimorbidity transitions, trajectories, continuous disease counts, and specific patterns. Non-human studies and participants under 18 were excluded. Associations between risk factors and multimorbidity onset were reported. Results Of 20,806 identified studies, 68 were included, with participants aged 18–105 from 23 countries. Nine risk factor categories were identified, including demographic, socioeconomic, and behavioral factors. Older age, low education, obesity, hypertension, depression, low pysical function were generally positively associated with multimorbidity. Results for factors like smoking, alcohol consumption, and dietary patterns were inconsistent. Study quality was moderate, with 16.2% having low risk of bias. Conclusions Several risk factors seem to be consistently associated with an increased risk of accumulating chronic diseases over time. However, heterogeneity in settings, exposure and outcome, and baseline health of participants hampers robust conclusions.</p