Physical and cognitive profiles in motoric cognitive risk syndrome in an older population from Southern Italy

Bortone, Ilaria; Griseta, Chiara; Battista, Petronilla; Castellana, Fabio; Lampignano, Luisa; Zupo, Roberta; Sborgia, Giancarlo; Lozupone, Madia; Moretti, Biagio; Giannelli, Gianluigi; Sardone, Rodolfo

doi:10.1111/ene.14882

Cited by 31 publications

(29 citation statements)

References 52 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…It was of great interest to note that the prediction power of education level in our study population is not as important as that of diet for social deprivation, although our study subsample had an average of only about 7 years of school (34). This result leads us to hypothesize that other factors, including dietary ones, have a greater importance in defining the level of deprivation.…”

Section: Discussionmentioning

confidence: 84%

Dietary Customs and Social Deprivation in an Aging Population From Southern Italy: A Machine Learning Approach

et al. 2022

Self Cite

View full text Add to dashboard Cite

BackgroundDiet and social determinants influence the state of human health. In older adults, the presence of social, physical and psychological barriers increases the probability of deprivation. This study investigated the relationship between social deprivation and eating habits in non-institutionalized older adults from Southern Italy, and identified foods and dietary habits associated with social deprivation.MethodsWe recruited 1,002 subjects, mean age 74 years, from the large population based Salus in Apulia Study. In this cross-sectional study, eating habits and the level of deprivation were assessed with FFQ and DiPCare-Q, respectively.ResultsDeprived subjects (n = 441) included slightly more females, who were slightly older and with a lower level of education. They consumed less fish (23 vs. 26 g), fruiting vegetables (87 vs. 102 g), nuts (6 vs. 9 g) and less “ready to eat” dishes (29 vs. 33 g). A Random Forest (RF) model was used to identify a dietary pattern associated with social deprivation. This pattern included an increased consumption of low-fat dairy products and white meat, and a decreased consumption of wine, leafy vegetables, seafood/shellfish, processed meat, red meat, dairy products, and eggs.ConclusionThe present study showed that social factors also define diet and eating habits. Subjects with higher levels of deprivation consume cheaper and more readily available food.

show abstract

Section: Discussionmentioning

confidence: 84%

Dietary Customs and Social Deprivation in an Aging Population From Southern Italy: A Machine Learning Approach

et al. 2022

Self Cite

View full text Add to dashboard Cite

show abstract

“…For instance, depressive symptoms predict conversion from cognitive normalcy state to MCR [1,4], and a recent report in this journal also identified depressive symptoms as a major risk factor for conversion of MCR to dementia in two US based cohorts [9]. In addition to highlighting common pathological mechanisms underlying cognitive, motoric, and mood disorders in aging, these studies also suggest a possible target for prevention of cognitive decline [1,6,9,10].…”

mentioning

confidence: 99%

“…But conversely, the association between MCR and falls in these studies was stronger than that of its individual components of either cognitive complaints or slow walking, suggesting that the co‐occurrence of cognitive and motoric impairments may tap into mechanisms or brain networks responsible for falls that the individual MCR components of cognitive complaints or slow gait do not access completely. MCR in the Italian cohort was associated with decreased processing speed and executive function, which are linked to risk of falls in older adults [6,10].…”

mentioning

confidence: 99%

“…The MCR group in this cohort was older, less educated, and with more depressive symptoms compared to non‐MCR cases [6]. Individuals with MCR also described more exhaustion, lower muscle strength, less physical activity, and had increased levels of systemic inflammation [6], all features that are either components or markers of physical frailty. While frailty can accompany MCR, it also can be a precursor to MCR [7], indicating the complex nature of bidirectional associations between physical and cognitive frailty in aging.…”

mentioning

confidence: 99%

“…But the clinical overlap between MCR and MCI is modest; 39% in a multicountry prevalence study [3]. In the Italian study, formal MCI diagnosis was not done but only 20.4% of individuals with MCR met a cut‐off score of ≤24 on the Mini‐Mental State Examination (MMSE), which has been widely used to define cognitive impairment and MCI [6]. Hence, most MCR patients would not be eligible for current clinical trials targeting MCI patients.…”

mentioning

confidence: 99%

See 2 more Smart Citations

Motoric cognitive risk syndrome: Next steps

Verghese

2021

Euro J of Neurology

View full text Add to dashboard Cite

show abstract

Motoric Cognitive Risk Syndrome and Traffic Incidents in Older Drivers in Japan

Kurita,

Doi,

Harada

et al. 2023

JAMA Netw Open

View full text Add to dashboard Cite

ImportanceTo prevent motor vehicle collisions by older drivers, the increased risk of collisions should be considered early. Cognitive decline increases the risk of car collisions. Motoric cognitive risk syndrome (MCR), characterized by the presence of cognitive concerns and slow gait, can be assessed conveniently and is useful to assess the risk of dementia.ObjectiveTo examine the association between MCR assessment findings and car collisions among older drivers in Japan.Design, Setting, and ParticipantsThis cross-sectional study used data from a community-based cohort study, the National Center for Geriatrics and Gerontology-Study of Geriatric Syndromes, conducted in Japan from 2015 to 2018. Participants were community-dwelling older adults aged at least 65 years. Data were analyzed from February to March 2023.ExposureMCR was defined as having subjective memory concerns (SMC) and slow gait. Participants were classified into 4 groups: no SMC or slow gait, only SMC, only slow gait, and MCR.Main Outcomes and MeasuresParticipants were asked about the experience of car collisions during the last 2 years and near-miss traffic incidents during the previous year through face-to-face interviews. Odds of experiencing a collision or near-miss traffic incident were assessed using logistic regression.ResultsAmong a total of 12 475 participants, the mean (SD) age was 72.6 (5.2) years, and 7093 (56.9%) were male. The group with only SMC and the group with MCR showed a higher proportion of both car collisions and near-miss traffic incidents than the other groups (adjusted standardized residuals &gt; 1.96; P &lt; .001). Logistic regression analysis showed the only SMC and MCR groups had increased odds of car collisions (only SMC group: odds ratio [OR], 1.48; 95% CI, 1.27-1.72; MCR group: OR, 1.73; 95% CI, 1.39-2.16) and near-miss traffic incidents (only SMC group: OR, 2.07; 95% CI, 1.91-2.25; MCR group: OR, 2.13; 95% CI, 1.85-2.45) after adjusting for confounding factors. After stratifying MCR assessments by objective cognitive impairment, significant associations were still observed. In the only slow gait group, objective cognitive impairment was associated with increased odds of car collisions (OR, 1.96; 95% CI, 1.17-3.28).Conclusions and RelevanceIn this cross-sectional study of community-dwelling older drivers in Japan, SMC and MCR were associated with car collisions and near-miss traffic incidents independent from objective cognitive impairment. Future studies should examine the mechanism of these associations in more detail.

show abstract

Physical and cognitive profiles in motoric cognitive risk syndrome in an older population from Southern Italy

Cited by 31 publications

References 52 publications

Dietary Customs and Social Deprivation in an Aging Population From Southern Italy: A Machine Learning Approach

Dietary Customs and Social Deprivation in an Aging Population From Southern Italy: A Machine Learning Approach

Motoric cognitive risk syndrome: Next steps

Motoric Cognitive Risk Syndrome and Traffic Incidents in Older Drivers in Japan

Contact Info

Product

Resources

About