scholarly journals Association of APOE ε4 genotype and lifestyle with cognitive function among Chinese adults aged 80 years and older: A cross-sectional study

PLoS Medicine ◽  
2021 ◽  
Vol 18 (6) ◽  
pp. e1003597
Author(s):  
Xurui Jin ◽  
Wanying He ◽  
Yan Zhang ◽  
Enying Gong ◽  
Zhangming Niu ◽  
...  
Keyword(s):  
Physical Activity ◽  
Body Weight ◽  
Cognitive Impairment ◽  
Cognitive Function ◽  
Genetic Risk ◽  
Healthy Lifestyle ◽  
Mmse Score ◽  
Oldest Old ◽  
Cross Sectional ◽  
The Mean

Background Apolipoprotein E (APOE) ε4 is the single most important genetic risk factor for cognitive impairment and Alzheimer disease (AD), while lifestyle factors such as smoking, drinking, diet, and physical activity also have impact on cognition. The goal of the study is to investigate whether the association between lifestyle and cognition varies by APOE genotype among the oldest old. Methods and findings We used the cross-sectional data including 6,160 oldest old (aged 80 years old or older) from the genetic substudy of the Chinese Longitudinal Healthy Longevity Survey (CLHLS) which is a national wide cohort study that began in 1998 with follow-up surveys every 2–3 years. Cognitive impairment was defined as a Mini-Mental State Examination (MMSE) score less than 18. Healthy lifestyle profile was classified into 3 groups by a composite measure including smoking, alcohol consumption, dietary pattern, physical activity, and body weight. APOE genotype was categorized as APOE ε4 carriers versus noncarriers. We examined the associations of cognitive impairment with lifestyle profile and APOE genotype using multivariable logistic regressions, controlling for age, sex, education, marital status, residence, disability, and numbers of chronic conditions. The mean age of our study sample was 90.1 (standard deviation [SD], 7.2) years (range 80–113); 57.6% were women, and 17.5% were APOE ε4 carriers. The mean MMSE score was 21.4 (SD: 9.2), and 25.0% had cognitive impairment. Compared with those with an unhealthy lifestyle, participants with intermediate and healthy lifestyle profiles were associated with 28% (95% confidence interval [CI]: 16%–38%, P < 0.001) and 55% (95% CI: 44%–64%, P < 0.001) lower adjusted odds of cognitive impairment. Carrying the APOE ε4 allele was associated with 17% higher odds (95% CI: 1%–31%, P = 0.042) of being cognitively impaired in the adjusted model. The association between lifestyle profiles and cognitive function did not vary significantly by APOE ε4 genotype (noncarriers: 0.47 [0.37–0.60] healthy versus unhealthy; carriers: 0.33 [0.18–0.58], P for interaction = 0.30). The main limitation was the lifestyle measurements were self-reported and were nonspecific. Generalizability of the findings is another limitation because the study sample was from the oldest old in China, with unique characteristics such as low body weight compared to populations in high-income countries. Conclusions In this study, we observed that healthier lifestyle was associated with better cognitive function among the oldest old regardless of APOE genotype. Our findings may inform the cognitive outlook for those oldest old with high genetic risk of cognitive impairment.

scholarly journals Effect of FOXO3 and Air Pollution on Cognitive Function: A Longitudinal Cohort Study of Older Adults in China from 2000 to 2014

2022 ◽  
Author(s):  
John S Ji ◽  
Linxin Liu ◽  
Yi Zeng ◽  
Lijing L Yan
Keyword(s):  
Air Pollution ◽  
Cognitive Impairment ◽  
Cognitive Function ◽  
Mmse Score ◽  
Fine Particulate Matter ◽  
Human Longevity ◽  
Cross Sectional ◽  
Positive Effects ◽  
Minor Alleles

Abstract Forkhead Box O 3 (FOXO3) genotype is strongly associated with human longevity and may be protective against neurodegeneration. Air pollution is a risk factor for cognitive decline and dementia. We aimed to study the individual and combined effects of FOXO3 and air pollution on cognitive function in a large prospective cohort with up to 14 years of follow-up. We measured cognitive function and impairment using the Mini-Mental State Examination (MMSE). We used tagging SNPs rs2253310, rs2802292, and rs4946936 to identify the FOXO3 gene, of which roughly half of the population had the longevity associated polymorphism. We matched annual average fine particulate matter (PM2.5) concentrations within 1 km^2 grid. We conducted cross-sectional and longitudinal analyses using multivariable linear and logistic regression models and generalized estimating equation. At baseline, carriers of the longevity associated homozygous minor alleles of FOXO3 SNPs had a higher MMSE score than the carriers of homozygous major alleles. In the longitudinal follow-up, carriers of FOXO3 homozygous minor alleles had lower odds of cognitive impairment compared to non-carriers. Higher PM2.5 was associated with a lower MMSE score and higher odds of cognitive impairment. The positive effects of FOXO3 were the strongest in females, older people, and residents in areas with lower air pollution.

A Cross Sectional Analysis of Physical Activity Engagement in Adults with Mild Cognitive Impairment

2021 ◽  
Author(s):  
Leona Connolly ◽  
Joanna McHugh Power ◽  
Brian Lawlor
Keyword(s):  
Physical Activity ◽  
Cognitive Impairment ◽  
Mild Cognitive Impairment ◽  
Cognitive Function ◽  
Handgrip Strength ◽  
Secondary Data ◽  
Cross Sectional Study ◽  
Subjective Measures ◽  
Cross Sectional ◽  
Activity Engagement

Abstract Background To address the paucity of literature regarding the relationship between mild cognitive impairment and physical activity engagement, this study aimed to understand the relative contribution of cognitive, demographic, physical and psychological variables related to physical activity engagement in individuals with mild cognitive impairment. Method This was a descriptive, cross – sectional study of secondary data from 62 participants with MCI (mean age 70.53, SD = 6.34), 53.2% female, median MoCA 23 (IQR: 20, 24)) from the NeuroExercise study, a 12 – month PA intervention on the outcome of cognitive function. The independent variable of interest was global cognitive function. Age, gender, years of education, number of medications, handgrip strength, depression, and quality of life were treated as covariates. The dependent variable was PA engagement in minutes per week, using the LAPAQ physical activity questionnaire and the Actigraph triaxial accelerometer device. Results Hierarchical regression analyses showed no significant effect of cognitive function on physical activity engagement after controlling for the effects of covariates. Physical activity engagement was low relative to global physical activity guidelines ((M = 111.38, SD = 94.29) Actigraph ( t (51) = -2.95, p < .005) and the LAPAQ (M = 51.71, SD = 22.80), t (61) = -33.94, p = < .001)). A Bland- Altman measure of agreement demonstrated that objective and subjective measures of physical activity were not equivalent. Conclusions This sample of adults with MCI were not sufficiently physically active. Further, there was substantial variability between objective and subjective measures of physical activity engagement. Objective measurement of PA data may be more reliable for adults with mild cognitive impairment.

scholarly journals Accelerometer Physical Activity is Associated with Greater Gray Matter Volumes in Older Adults Without Dementia or Mild Cognitive Impairment

2018 ◽  
Vol 74 (7) ◽  
pp. 1142-1151 ◽  
Author(s):  
Shannon Halloway ◽  
Konstantinos Arfanakis ◽  
JoEllen Wilbur ◽  
Michael E Schoeny ◽  
Susan J Pressler
Keyword(s):  
Physical Activity ◽  
Older Adults ◽  
Cognitive Impairment ◽  
Mild Cognitive Impairment ◽  
Cognitive Function ◽  
Gray Matter ◽  
Cross Sectional ◽  
Gray Matter Atrophy ◽  
Age Related ◽  
Gray Matter Volumes

Abstract Objectives Physical activity (PA) is a modifiable health behavior that can protect against age-related gray matter atrophy and cognitive dysfunction. Current studies of PA and gray matter failed to utilize device measures of PA and do not focus on adults >80 years. Thus, the purpose of this secondary analysis was to examine cross-sectional associations between accelerometer lifestyle PA and (a) gray matter volumes and (b) cognitive function, controlling for demographics, and health status. Method Participants were 262 older adults without dementia or mild cognitive impairment from Rush Memory and Aging Project, an epidemiological cohort study. Participants wore an accelerometer to assess total daily lifestyle PA, and completed anatomical magnetic resonance imaging to assess gray matter volumes and a neurocognitive test battery to assess cognitive function. Results Multivariate linear regression indicated that higher levels of total daily lifestyle PA was significantly related to larger gray matter volumes, F(2, 215) = 3.61, p = .027, including subcortical gray matter (β = 0.17, p = .007) and total gray matter (β = 0.11, p = .049), with no significant associations between lifestyle PA and cognitive function. Discussion These findings may inform future lifestyle PA interventions in order to attenuate age-related gray matter atrophy.

scholarly journals Factors Related to Cognitive Function in Elderly People

2017 ◽  
Vol 1 (6) ◽  
Author(s):  
Fransiska YD Mardiyanto ◽  
Dedeh S Jahja ◽  
Yenni Limyati
Keyword(s):  
Physical Activity ◽  
Cognitive Impairment ◽  
Social Interaction ◽  
Cognitive Function ◽  
Elderly People ◽  
Elderly Population ◽  
Cognitive Activity ◽  
The Elderly ◽  
P Value ◽  
Cross Sectional

Each year in the world, especially in Indonesia, many elderly people exposed to higher risk of dementia due to an increased number of the elderly population and the incidence of mild cognitive impairment in the elderly. The aim of this study is to find out what factors are related with cognitive function in the elderly population. The study used analytic method with cross sectional study design. Subjects were 60 elderly people; male or female ≥ 60 years old. Data were analysed with Chi Square Test (α = 0.05). Cognitive function was measured by MMSE test. The result were found a significant relation between age and cognitive function ( p = 0.014), level of education and cognitive function (p value = 0.000), physical activity and cognitive function (p value = 0.003), cognitive activity and cognitive function (p value = 0.002), and social interaction and cognitive function (p value = 0.000). Gender variable did not have relation with cognitive function (p value = 0.343). This study conclude that there was a relation between age, education level, physical activity, cognitive activity and social interaction with cognitive function in the elderly population. There was no relation between gender and cognitive function in the elderly population.Keywords: cognitive function, cognitive impairment, elderly, MMSE

scholarly journals Cross-Sectional Relationships of Physical Activity and Sedentary Behavior With Cognitive Function in Older Adults With Probable Mild Cognitive Impairment

2017 ◽  
Vol 97 (10) ◽  
pp. 975-984 ◽  
Author(s):  
Ryan S. Falck ◽  
Glenn J. Landry ◽  
John R. Best ◽  
Jennifer C. Davis ◽  
Bryan K. Chiu ◽  
...  
Keyword(s):  
Physical Activity ◽  
Older Adults ◽  
Cognitive Impairment ◽  
Mild Cognitive Impairment ◽  
Cognitive Function ◽  
Sedentary Behavior ◽  
Cross Sectional

scholarly journals Frailty Severity and Cognitive Impairment Associated with Dietary Diversity in Older Adults in Taiwan

Nutrients ◽  
2021 ◽  
Vol 13 (2) ◽  
pp. 418
Author(s):  
Wei-Ching Huang ◽  
Yi-Chen Huang ◽  
Meei-Shyuan Lee ◽  
Hsing-Yi Chang ◽  
Jia-Yau Doong
Keyword(s):  
Older Adults ◽  
Cognitive Impairment ◽  
Cognitive Function ◽  
Dietary Diversity ◽  
Mmse Score ◽  
International Association ◽  
Cross Sectional Study ◽  
Cross Sectional ◽  
Cognitive Frailty ◽  
Dietary Recall

This study aims to investigate whether frailty severity in conjunction with cognitive function, termed as” cognitive frailty”, is associated with dietary diversity in older adults. This cross-sectional study used the data from the 2014–2016 Nutrition and Health Survey in Taiwan (N = 1115; age ≥ 65 years). Dietary intake was assessed using a 24 h dietary recall and food-frequency questionnaire, and dietary diversity score (DDS; range, 0–6) and food intake frequency were calculated. The presence of frailty phenotypes was determined using the FRAIL scale, which was proposed by the International Association of Nutrition and Aging, and cognitive function was assessed using the Mini–Mental State Examination (MMSE) score. The prevalence of cognitive frailty (FRAIL scale score ≥ 3 and MMSE score ≤ 26) was 4.2%. A higher consumption frequency of dairy products, whole grains, vegetables, fruit, fish and seafood, nuts, tea, and coffee, as well as lower pickled vegetable, was inversely associated with cognitive frailty. Those with prefrailty or frailty and lower DDS demonstrated a higher cognitive impairment risk (adjust odds ratio (OR) = 2.15, 95% confidence interval = 1.21–3.83) than those without frailty and higher DDS. Older adults with cognitive prefrailty or cognitive frailty were associated with lower DDS, and frailty with lower DDS was associated with worsening cognitive function.

scholarly journals Comparison of Subjective and Objective Methods to Measure the Physical Activity of Non-Depressed Middle-Aged Healthy Subjects with Normal Cognitive Function and Mild Cognitive Impairment—A Cross-Sectional Study

2021 ◽  
Vol 18 (15) ◽  
pp. 8042
Author(s):  
Aleksandra Makarewicz ◽  
Małgorzata Jamka ◽  
Maria Wasiewicz-Gajdzis ◽  
Joanna Bajerska ◽  
Anna Miśkiewicz-Chotnicka ◽  
...  
Keyword(s):  
Physical Activity ◽  
Cognitive Impairment ◽  
Mild Cognitive Impairment ◽  
Cognitive Function ◽  
Professional Status ◽  
Moderate Activity ◽  
Middle Aged ◽  
Anthropometric Parameters ◽  
Cross Sectional ◽  
Normal Cognitive Function

This study compared subjective and objective methods of measuring different categories of physical activity in non-depressed middle-aged subjects with normal cognitive function (NCF) and mild cognitive impairment (MCI). In total, 75 participants (NCF: n = 48, MCI: n = 27) were recruited and physical activity was assessed for seven days using the ActiGraph and the International Physical Activity Questionnaire (IPAQ). Anthropometric parameters, body compositions, resting metabolic rate, and energy expenditure were also assessed. ActiGraph data indicated that subjects with NCF were more active than MCI subjects. A comparison of the IPAQ and the ActiGraph data revealed a significant correlation between these methods for total (r = 0.3315, p < 0.01) and moderate (r = 0.3896, p < 0.01) physical activity in the total population and moderate activity (r = 0.2893, p < 0.05) within the NCF group. No associations between these methods were found within the MCI group. Independent predictors of subjectively evaluated total physical activity were alcohol consumption (p = 0.0358) and socio-professional status (p = 0.0288), while weight (p = 0.0285) and the Montreal Cognitive Assessment results (p = 0.0309) were independent predictors of objectively measured physical activity. In conclusion, the long version of IPAQ is a more reliable tool to assess PA in subjects with NCF than those with MCI. More studies are needed to confirm this finding.

HUBUNGAN AKTIVITAS FISIK DENGAN FUNGSI KOGNITIF LANSIA DI PANTI WREDHA YAYASAN SOSIAL SALIB PUTIH SALATIGA

2019 ◽  
pp. 137-143
Author(s):  
Dennys Christovel Dese ◽  
Cahyo Wibowo
Keyword(s):  
Physical Activity ◽  
Cognitive Function ◽  
The Elderly ◽  
Moderate Physical Activity ◽  
Cross Sectional ◽  
Significance Level ◽  
The Social ◽  
Normal Cognitive Function ◽  
Intellectual Capacity ◽  
Independent Variable

Peningkatan jumlah lansia setiap tahunnya harus dijadikan perhatian, akibat adanya peningkatan jumlah lansia masalah yang dihadapi akan menjadi semakin kompleks, salah satunya adalah masalah yang berkaitan dengan gejala penuaan. Menurunnya kapasitas intelektual berhubungan erat dengan fungsi kognitif pada lansia. Aktivitas fisik diidentifikasi sebagai salah satu faktor yang mempengaruhi fungsi kognitif. Aktivitas fisik bermanfaat untuk lansia sebagai pencegahan dan demensia. Penelitian ini merupakan penelitian analitik observasional dengan menggunakan pendekatan cross sectional. Penelitian dilakukan di yayasan sosial Panti Wredha Salib Putih Salatiga pada bulan Juni 2018. Populasi dalam penelitian ini adalah lansia yang berumur ?60 tahun. Subjek pada penelitian ini berjumlah 16 responden. Variabel independen dalam penelitian ini adalah aktivitas fisik yang dinilai dengan menggunakan instrument GPAQ. Sedangkan variabel dependen dalam penelitian ini adalah fungsi kognitif yang dinilai dengan instrument MMSE. Terdapat 4 orang (25%) yang masuk dalam kategori fungsi kognitif normal dengan kategori aktifitas fisik sedang 1 orang dan aktifitas berat 3 orang, kemudian yang termasuk dalam kategori gangguan fungsi kognitif ringan sebanyak 11 orang (68,75%), dengan kategori aktifitas fisik sedang 8 orang dan aktifitas ringan 3 orang. Sedangkan yang termasuk dalam kategori gangguan fungsi kognitif berat, terdapat 1 orang (6,25%) dengan kategori aktifitasnya ringan. Taraf signifikansi antar variabel tingkat aktifitas fisik dan fungsi kognitif pada lansia adalah p=0.007 atau p<0,05, sehingga dapat disimpulkan ada  hubungan antara tingkat aktifitas fisik dengan fungsi kognitif pada lansia.   Increasing the number of elderly people every year should be a concern, due to an increase in the number of elderly problems faced will become increasingly complex, one of which is a problem related to the symptoms of aging. Decreased intellectual capacity is closely related to cognitive function in the elderly. Physical activity is identified as one of the factors that influence cognitive function. Physical activity is beneficial for the elderly as prevention and dementia. This study was an observational analytic study using a cross sectional approach. The study was conducted at the social foundation nursing home in the white cross in June 2018. The population in this study was elderly aged ≥60 years. The subjects in this study were 16 respondents. The independent variable in this study is physical activity that is assessed using the GPAQ instrument. While the dependent variable in this study was cognitive function which was assessed by the MMSE instrument. There are 4 people (25%) who fall into the category of normal cognitive function with moderate physical activity categories 1 person and heavy activities 3 people, then those included in the category of mild cognitive function disorders are 11 people (68.75%), with the category of physical activity being 8 people and 3 light activities. While those included in the category of severe cognitive function disorders, there is 1 person (6.25%) with a mild activity category. The significance level between the level of physical activity and cognitive function in the elderly is p = 0.007 or p <0.05, so it can be concluded that there is a relationship between the level of physical activity and cognitive function in the elderly.

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