Association between tooth loss and cognitive impairment in community-dwelling older Japanese adults: a 4-year prospective cohort study from the Ohasama study

IntroductionThe current diagnostic pathways for cognitive impairment rarely identify babies at risk before 2 years of age. Very early detection and timely targeted intervention has potential to improve outcomes for these children and support them to reach their full life potential. Early Moves aims to identify early biomarkers, including general movements (GMs), for babies at risk of cognitive impairment, allowing early intervention within critical developmental windows to enable these children to have the best possible start to life.Method and analysisEarly Moves is a double-masked prospective cohort study that will recruit 3000 term and preterm babies from a secondary care setting. Early Moves will determine the diagnostic value of abnormal GMs (at writhing and fidgety age) for mild, moderate and severe cognitive delay at 2 years measured by the Bayley-4. Parents will use the Baby Moves smartphone application to video their babies’ GMs. Trained GMs assessors will be masked to any risk factors and assessors of the primary outcome will be masked to the GMs result. Automated scoring of GMs will be developed through applying machine-based learning to the data and the predictive value for an abnormal GM will be investigated. Screening algorithms for identification of children at risk of cognitive impairment, using the GM assessment (GMA), and routinely collected social and environmental profile data will be developed to allow more accurate prediction of cognitive outcome at 2 years. A cost evaluation for GMA implementation in preparation for national implementation will be undertaken including exploring the relationship between cognitive status and healthcare utilisation, medical costs, health-related quality of life and caregiver burden.Ethics and disseminationEthics approval has been granted by the Medical Research Ethics Committee of Joondalup Health Services and the Health Service Human Research Ethics Committee (1902) of Curtin University (HRE2019-0739).Trial registration numberACTRN12619001422112.

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Association between frequency of snacking and all‐cause mortality among community‐dwelling young‐old adults: An age‐specific prospective cohort study

Geriatrics and Gerontology International ◽

10.1111/ggi.14209 ◽

2021 ◽

Author(s):

Tohru Kobayashi ◽

Wenjing Zhao ◽

Shigekazu Ukawa ◽

Kenji Wakai ◽

Kazuyo Tsushita ◽

...

Keyword(s):

Cohort Study ◽

Prospective Cohort Study ◽

Prospective Cohort ◽

Community Dwelling ◽

Old Adults ◽

All Cause Mortality ◽

Young Old

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Fine or Gross Motor Index as a Simple Tool for Predicting Cognitive Impairment in Elderly People: Findings from The Irish Longitudinal Study on Ageing (TILDA)

Journal of Alzheimer s Disease ◽

10.3233/jad-210704 ◽

2021 ◽

pp. 1-8

Author(s):

Xiao Liu ◽

Ayiguli Abudukeremu ◽

Yuan Jiang ◽

Zhengyu Cao ◽

Maoxiong Wu ◽

...

Keyword(s):

Cohort Study ◽

Cognitive Impairment ◽

Longitudinal Study ◽

Cognitive Function ◽

Prospective Cohort Study ◽

Prospective Cohort ◽

Cross Sectional Study ◽

Sectional Study ◽

Cross Sectional ◽

Simple Tool

Background: Several kinds of motor dysfunction can predict future cognitive impairment in elderly individuals. However, the ability of the fine motor index (FINEA) and gross motor index (GROSSA) to predict the risk of cognitive impairment has not been assessed. Objective: We investigated the associations between FINEA/GROSSA and cognitive impairment. Methods: The data of 4,745 participants from The Irish Longitudinal Study on Ageing (TILDA) were analyzed. Cognitive function was assessed using the Mini-Mental State Examination (MMSE). We first assessed the correlation between the FINEA GROSSA and MMSE in a cross-sectional study. Then, we further investigated the predictive role of the incidence of cognitive impairment in a prospective cohort study. Results: We found that both FINEA and GROSSA were negatively correlated with MMSE in both the unadjusted (FINEA: B = –1.00, 95%confidence intervals (CI): –1.17, –0.83, t = –11.53, p < 0.001; GROSSA: B = –0.85, 95%CI: –0.94, –0.76, t = –18.29, p < 0.001) and adjusted (FINEA: B = –0.63, 95%CI: –0.79, –0.47, t = –7.77, p < 0.001; GROSSA: B = –0.57, 95%CI: –0.66, –0.48, t = –12.61, p < 0.001) analyses in a cross-sectional study. In a prospective cohort study, both high FINEA and high GROSSA were associated with an increased incidence of cognitive function impairment (FINEA: adjusted odds ratios (OR) = 2.35, 95%CI: 1.05, 5.23, p = 0.036; GROSSA adjusted OR = 3.00, 95%CI: 1.49, 6.03, p = 0.002) after 2 years of follow-up. Conclusion: Higher FINEA and GROSSA scores were both associated with an increased incidence of cognitive impairment. FINEA or GROSSA might be a simple tool for identifying patients with cognitive impairment.

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