Mild cognitive impairment: vascular risk factors in community elderly in four cities of Hebei Province, China

Risk factors associated with self-rated health among elderly females with different visual abilities in Chinese urban areas: a population-based study

OBJECTIVE

Self-rated health (SRH) has been documented as an important predictor of quality of life among the elderly and its risk factors are vision-specific among elderly males. The aim of this study was to clarify vision-specific risk factors to SRH among elderly females without dementia in Chinese urban areas.

METHODS

From March to November 2012, 2147 elderly women in Liaoning Province of China were selected using a stratified sampling method. After cognitive screening, 1956 participants without dementia were finally enrolled. A questionnaire including SRH, visual ability and factors including demographic characteristics, physical conditions, lifestyle factors, social psychological status and social activities were analyzed. Multivariate logistic regression was used to clarify the association of SRH with risk factors, while stepwise multivariate logistic regression was used to examine the vision-specific associations with SRH.

RESULTS

The mean age was 73.6 ± 5.82 (mean ± SD). The percentages of good SRH in good and impaired visual ability groups were 36.2% and 24.4%, respectively. Most characteristics between elderly females with different visual abilities were significantly different. Visual ability had interactions with physical conditions, lifestyle factors and social activities to affect SRH. Among elderly females with good visual ability, depressive symptoms, rather than chronic disease had the strongest association with good SRH followed by marital status, regular diet, going out alone to distant places, taking a walk, smoking and alcohol consumption. In the impaired visual ability group, going out alone to distant places had the strongest association with good SRH followed by chronic disease, filial piety, taking a walk, participating in entertainment, ethnicity, quality of sleep, worrying about falling and alcohol consumption.

CONCLUSIONS

Good SRH status was at a low level especially among elderly females with impaired visual ability and the risk factors differed between elderly females with different visual abilities. Social psychological status was crucial for SRH among elderly females with good visual ability whereas physical conditions were prominent for impaired visual ability group.

Assessment of Cognitive Impairment and Related Factors Among Elderly People in Jordan

Background

With an increase in elderly people, it is essential to address the issue of cognitive impairment and support healthy aging. This study aimed to assess cognitive impairment and factors associated with it among older adults.

Materials and Methods

A cross-sectional study was carried out in different catchment areas within the Jerash governorate in the north of Jordan. The Elderly Cognitive Assessment Questionnaire (ECAQ) and a household face-to-face interview were used to collect data from 220 older adult participants aged 60 years and more. Descriptive statistics were conducted to describe the study variables. Correlation tests were applied to find associations between them. Logistic regression analysis was applied, with a minimum significance level (p < 0.05).

Results

About 9.10% of the older adults had cognitive impairment. Cognitive impairment was correlated with age, self-perceived health, hypertension, stroke, and mental illness. The primary predictors of cognitive impairment were age [odds ratio (OR) =1.07 (1.01-1.14), p = 0.001] and stroke [OR = 10.92 (1.44-82.85), p = 0.001].

Conclusions

While many factors were correlated with cognitive impairment, the strongest predictors of cognitive impairment were age and stroke.

Biological Risk Factors Influencing Vascular Cognitive Impairments: A Review of the Evidence

Vascular cognitive impairment encompasses several types of deficits, ranging from mild cognitive impairment to dementia. Cognitive reserve refers to the brain's ability to balance damage and improve performance through certain types of brain networks. The purpose of this review was to assess the relationship between reserve in vascular impairment, specifically looking at whether cognitive impairment is influenced by cognitive reserve, identifying significant vascular risk factors and their pathological pathways. To achieve this purpose, a review covering these issues was conducted within the Embase, Cochrane, and PubMed database. A total of 657 scientific articles were found, and 33 papers were considered for the final analysis. We concluded that there is no consensus on the protective effects of brain reserve on cognitive impairment. Stroke and diabetes can be considered significant risk factors for vascular cognitive impairment, while hypertension is not as damaging as blood pressure variability, which structurally alters the brain through a variety of mechanisms.

The use of nomogram for detecting mild cognitive impairment in patients with type 2 diabetes mellitus

BACKGROUND

Type 2 diabetes mellitus (T2DM) is highly prevalent worldwide and may lead to a higher rate of cognitive dysfunction. This study aimed to develop and validate a nomogram-based model to detect mild cognitive impairment (MCI) in T2DM patients.

METHODS

Inpatients with T2DM in the endocrinology department of Xiangya Hospital were consecutively enrolled between March and December 2021. Well-qualified investigators conducted face-to-face interviews with participants to retrospectively collect sociodemographic characteristics, lifestyle factors, T2DM-related information, and history of depression and anxiety. Cognitive function was assessed using the Mini-Mental State Examination scale. A nomogram was developed to detect MCI based on the results of the multivariable logistic regression analysis. Calibration, discrimination, and clinical utility of the nomogram were subsequently evaluated by calibration plot, receiver operating characteristic curve, and decision curve analysis, respectively.

RESULTS

A total of 496 patients were included in this study. The prevalence of MCI in T2DM patients was 34.1% (95% confidence interval [CI]: 29.9%-38.3%). Age, marital status, household income, diabetes duration, diabetic retinopathy, anxiety, and depression were independently associated with MCI. Nomogram based on these factors had an area under the curve of 0.849 (95% CI: 0.815-0.883), and the threshold probability ranged from 35.0% to 85.0%.

CONCLUSIONS

Almost one in three T2DM patients suffered from MCI. The nomogram, based on age, marital status, household income, duration of diabetes, diabetic retinopathy, anxiety, and depression, achieved an optimal diagnosis of MCI. Therefore, it could provide a clinical basis for detecting MCI in T2DM patients.

Functional deficit of sense organs as a risk factor for cognitive functional disorder in Chinese community elderly people

OBJECTIVE

To explore the relationship between mild cognitive impairment (MCI) and sense organs functional deficit in community elderly people.

METHODS

A total of 3095 community elderly people above 60 years in Hebei Province were selected by cross-sectional random cluster sampling method, who were evaluated face-to-face for general demographic data, the condition of sense organs functional deficit (vision, hearing, gustation, olfactory sensation, taste) and cognitive function by Mini-Mental State Examination (MMSE) and Montreal Cognitive Assessment (MoCA).

RESULTS

A total of 3075 valid questionnaires were obtained. (a) 1368 old people (44.49%) were defined with sense organs functional deficit (defined as one or more of glaucoma, fundus disease, hearing impairment, olfactory disorder and taste disorder) in 3095 elderly people. According to questionnaires, MCI was diagnosed in 689 of 3075 participants (22.41%). The hearing disorder and glaucoma of MCI group were higher than that of the normal control group (X² were 5.998 and 7.430, respectively, P were .014 and .006, respectively). (b) The MMSE score of the hearing disorder were significantly lower than those of non-hearing disorder group (t = 2.046, P = .041). (c) Multinomial logistics regression analysis was applied by MCI as the dependent variable and the various sensory organs defects as independent variables. The hearing impairment (Wald = 8.582, P = .003, OR = 1.485, 95% CI: 1.140-1.934) and glaucoma (Wald = 8.020, P = .005, OR = 1.847, 95% CI: 1.208-2.824) were associated with MCI.

CONCLUSION

The sensory organs functional defects is associated with the mild cognitive impartment in Chinese elderly, especially in vision and hearing disorder.

Association of Hypertension with Mild Cognitive Impairment in Population from Less-Developed Areas of Multiethnic Northwest China

BACKGROUND

Relationship between hypertension and mild cognitive impairment (MCI) remains undetermined in population from less-developed regions. We aimed to explore whether hypertension is associated with MCI in this specific population.

METHODS

In this cross-sectional study, we enrolled subjects aged ≥18 years using multistage random sampling from Emin, China, in 2019. Participants underwent questionnaires and data collection including mini-mental state examination (MMSE) and blood pressure measurement.

RESULTS

Finally, 31,329 subjects were included, with 11,270 hypertensives. Compared with normotensive subjects, hypertensives were characterized by significantly older age (55.19 ± 12.25 vs. 43.26 ± 12.71), more men (52.5% vs. 42.9%), low education attainment (≤primary education: 42.4% vs. 26.3%), more abdominal obesity (39.7% vs. 19.1%), poor sleep quality (39.1% vs. 28.7%), and chronic kidney disease (6.6% vs. 3.4%, p for all <0.001). Prevalence of MCI in hypertensives was significantly higher than that of normotensive subjects (24.3% vs. 15.6%, p < 0.001). Multivariate logistic regression analysis showed in a fully adjusted model that the odds for MCI were significantly increased in hypertensives than in normotensive population (OR = 1.19, 95% CI: 1.09, 1.30, p < 0.001) and independent of all the parameters studied including age, education level, and stroke. In the age-stratified regression model, presence of hypertension significantly increased the odds of MCI by 1.17-fold (95% CI: 1.03, 1.33, p = 0.020) and by 1.22-fold (95% CI: 1.04, 1.44, p = 0.016) in middle-aged and elderly population. Sensitivity analysis of excluding those with stroke history showed that hypertension was still a risk factor for MCI in total, middle-aged, and elderly population.

CONCLUSION

Hypertension is in independent negative association with MCI in middle-aged and elderly population from underdeveloped regions.

The Prevalence of Mild Cognitive Impairment among Chinese People: A Meta-Analysis

BACKGROUND

Mild cognitive impairment (MCI) induced the majority number of dementia patients. The prevalence of MCI in China varied across studies with different screening tools and diagnostic criteria.

OBJECTIVE

A systematic review and meta-analysis was conducted to estimate the pooled MCI prevalence among the population aged 55 years and older in China.

METHODS

PubMed, EMBASE, CNKI, Wanfang, CQVIP, and CBMdisc were searched for studies on prevalence of MCI among Chinese elderly between January 1, 1980, and February 10, 2020. The quality assessment was conducted via external validity, internal validity, and informativity, the pooled prevalence was calculated through the random-effect model, and the homogeneity was evaluated by Cochran's Q test and I2.

RESULTS

Fifty-three studies with 123,766 subjects were included. The pooled prevalence of MCI among Chinese elderly was 15.4% (95% CI: 13.5-17.4%). Subgroup analyses indicated that the prevalence calculated with different screening tools was 20.2% (95% CI: 15.1-25.9%) for Montreal Cognitive Assessment (MoCA) and 13.0% (95% CI: 10.7-15.5%) for Mini-Mental State Examination (MMSE). According to different diagnostic criteria, the prevalence was 14.8% (95% CI: 12.2-17.6%) for Petersen criteria, 15.0% (95% CI: 12.7-17.5%) for DSM-IV, and 21.2% (95% CI: 17.5-25.2%) for Chinese Expert Consensus on Cognitive Impairment (CECCI). Besides, women, older adults, illiterate people, rural residents, and those who lived with unhealthy lifestyles and morbidity showed higher prevalence.

CONCLUSIONS

The prevalence of MCI in China was 15.4%, which varied by demographics, lifestyles, morbidity, screening tools, and diagnostic criteria. In further studies, screening tools and diagnosis criteria should be considered when estimating MCI prevalence.

Prevalence and Risk of Mild Cognitive Impairment in Low and Middle-Income Countries: A Systematic Review

Background: Mild cognitive impairment (MCI) is a cognitive state associated with increased risk of dementia. Little research on MCI exists from low-and middle-income countries (LMICs), despite high prevalence of dementia in these settings. Objective: This systematic review aimed to review epidemiological reports to determine the prevalence of MCI and its associated risk factors in LMICs. Methods: Medline, Embase, and PsycINFO were searched from inception until November 2019. Eligible articles reported on MCI in population or community-based studies from LMICs and were included as long as MCI was clearly defined. Results: 5,568 articles were screened, and 78 retained. In total, n = 23 different LMICs were represented; mostly from China (n = 55 studies). Few studies were from countries defined as lower-middle income (n = 14), low income (n = 4), or from population representative samples (n = 4). There was large heterogeneity in how MCI was diagnosed; with Petersen criteria the most commonly applied (n = 26). Prevalence of amnesic MCI (aMCI) (Petersen criteria) ranged from 0.6%to 22.3%. Similar variability existed across studies using the International Working Group Criteria for aMCI (range 4.5%to 18.3%) and all-MCI (range 6.1%to 30.4%). Risk of MCI was associated with demographic (e.g., age), health (e.g., cardio-metabolic disease), and lifestyle (e.g., social isolation, smoking, diet and physical activity) factors. Conclusion: Outside of China, few MCI studies have been conducted in LMIC settings. There is an urgent need for population representative epidemiological studies to determine MCI prevalence in LMICs. MCI diagnostic methodology also needs to be standardized. This will allow for cross-study comparison and future resource planning.

Estimation of losses of quality-adjusted life expectancy attributed to the combination of cognitive impairment and multimorbidity among Chinese adults aged 45 years and older

OBJECTIVES

This study aims to estimate the losses of quality-adjusted life expectancy (QALE) due to the joint effects of cognitive impairment and multimorbidity, and to further confirm additional losses attributable to this interaction among middle-aged and elderly Chinese people.

METHODS

The National Cause of Death Monitoring Data were linked with the China Health and Retirement Longitudinal Study (CHARLS). A mapping and assignment method was used to estimate health utility values, which were further used to calculate QALE. Losses of QALE were measured by comparing the differences between subgroups. All the losses of QALE were displayed at two levels: the individual and population levels.

RESULTS

At age 45, the individual-level and population-level losses of QALE attributed to the combination of cognitive impairment and multimorbidity were 7.61 (95% CI: 5.68, 9.57) years and 4.30 (95% CI: 3.43, 5.20) years, respectively. The losses for cognitive impairment alone were 3.10 (95% CI: 2.29, 3.95) years and 1.71 (95% CI: 1.32, 2.13) years at the two levels. Similarly, the losses for multimorbidity alone were 3.53 (95% CI: 2.53, 4.56) years and 1.91 (95% CI: 1.24, 2.63) years at the two levels. Additional losses due to the interaction of cognitive impairment and multimorbidity were indicated by the 0.98 years of the individual-level gap and 0.67 years of the population-level gap.

CONCLUSION

Among middle-aged and elderly Chinese people, cognitive impairment and multimorbidity resulted in substantial losses of QALE, and additional QALE losses were seen due to their interaction at both individual and population levels.

Mild Cognitive Impairment in the Migrant Population Living in Europe: An Epidemiological Estimation of the Phenomenon

Background:

The construct of mild cognitive impairment (MCI) is triggering growing clinical and research interest. The detection of MCI may be affected by diverse ethno-cultural determinants possibly influencing the personal and social perception of the individual cognitive functioning as well as the reliability of objective cognitive assessment. These challenges may acquire special relevance in subjects with a migration background and composing ethnic minority groups.

Objective:

The present study is aimed at providing an estimate of the number of MCI cases occurring in the migrant population living in the extended European Union (EU) in 2018.

Methods:

The number of MCI cases in older migrants living in Europe and in each of the 32 considered countries was estimated by multiplying the number of migrants, provided by Eurostat, with the age-specific prevalence rates, derived by the harmonized data produced by the COSMIC collaboration and based on different operational definitions of MCI.

Results:

Nearly 686,000 cases of MCI were estimated in the extended EU by applying age-specific prevalence rates based on the International Working Group criteria. Higher figures were obtained when the Clinical Dementia Rating- and the Mini Mental State Examination-based criteria were applied. The proportion of MCI cases in migrant subjects ranged from 1.1% (Romania) to 54.1% (Liechtenstein) (median: 8.4%; IQR: 4.7%–14.2%).

Conclusions:

MCI represents and will increasingly constitute a relevant issue in the migrant population living in Europe. The present data reinforce the need of developing approaches and models of care that may be diversity-sensitive and inclusive for a culturally variegated population.

Clinical and demographic parameters predict the progression from mild cognitive impairment to dementia in elderly patients

OBJECTIVES

To evaluate the possibility of predicting the risk of progression from mild cognitive impairment (MCI) to dementia using a combination of clinical/demographic parameters.

METHODS

A total of 462 MCI elderly patients (follow-up: 33 months). Variable measured included cognitive functions, age, gender, MCI type, education, comorbidities, clinical chemistry, and functional status.

RESULTS

Amnestic type (aMCI) represented 63% of the sample, non-amnestic (naMCI) 37%; 190 subjects progressed to dementia, 49% among aMCI, and 28% among naMCI. At Cox multivariate regression analysis, only MMSE (one point increase HR 0.84; 95% CI 0.79-0.90), aMCI (HR 2.35; 95% CI 1.39-3.98), and age (1 year increase HR 1.05; 95% CI 1.01-1.10) were independently associated with progression to dementia. A score was created based on these dichotomized variables (score 0-3): age (≥ or < 78 years), MMSE score (≥ or < 25/30) and aMCI type. The conversion rate progressed from 6% in subjects with score 0 (negative predictive value: 0.94), to 31% in individuals with score 1, to 53% in subjects with score 2, to 72% in individuals with score 3 (positive predictive value: 0.72). ROC curve analysis showed an area under the curve of 0.72 (95% CI 0.66-0.75, p 0.0001).

CONCLUSIONS

We have described a simple score, based on previously recognized predictors such as age, MMSE, and MCI type, which may be useful for an initial stratification of the risk of progression to dementia in patients affected by MCI. The score might help the clinicians to evaluate the need for more expansive/invasive examinations and for a closer follow-up in MCI patients.

Prevalence of Mild Cognitive Impairment in Rural Thai Older People, Associated Risk Factors and their Cognitive Characteristics

Introduction

Mild cognitive impairment (MCI) is a transitional stage between normal cognition and dementia. A review showed that 10–15% of those with MCI annually progressed to Alzheimer's disease.

Objective

This study aimed to investigate the prevalence and risk factors associated with MCI as well as the characteristics of cognitive deficits among older people in rural Thailand.

Methods

A cross-sectional study in 482 people who were 60 years old and over was conducted in northern Thailand. The assessments were administered by trained occupational therapists using demographic and health characteristics, Mental Status Examination Thai 10, Activities of Daily Living − Thai Assessment Scale, 15-item Geriatric Depression Scale and the Montreal Cognitive Assessment-Basic (MoCA-B, Thai version).

Results

The mean age of MCI was 68.3 ± 6.82 years, and most had an education ≤4 years. The prevalence of MCI in older people was 71.4% (344 out of 482), and it increased with age. Low education and diabetes mellitus (DM) were the significant risk factors associated with cognitive decline. Older people with MCI were more likely to have an education ≤4 years (RR 1.74, 95% CI 1.21–2.51) and DM (RR 1.19, 95% CI 1.04–1.36) than those who did not. The 3 most common cognitive impairments according to MoCA-B were executive function (86%), alternating attention (33.1%) and delayed recall (31.1%).

Conclusion

The prevalence of MCI in older Thai people in a rural area is high compared with that in other countries. The explanation might be due to low education and underlying disease associated with MCI. A suitable program that can reduce the prospects of MCI in rural Thailand is needed.

The Relationship of Coronary Artery Calcium and Clinical Coronary Artery Disease with Cognitive Function: A Systematic Review and Meta-Analysis

AIM

Coronary artery disease (CAD) and cognitive impairment are common in the elderly, with evidence for shared risk factors and pathophysiological processes. The coronary artery calcium (CAC) score is a marker of subclinical CAD, which may allow early detection of individuals prone to cognitive decline. Prior studies on associations of CAC and clinical CAD with cognitive impairment had discrepant results. This systematic review aims to evaluate the association of (sub)clinical CAD with cognitive function, cognitive decline, and diagnosis of mild cognitive impairment (MCI) or dementia.

METHODS

A systematic search was conducted in MEDLINE, Embase, and Web of Science until February 2019, supplemented with citations tracking. Two reviewers independently screened studies and extracted information including odds ratios (ORs) and hazard ratios (HRs).

RESULTS

Forty-six studies, 10 on CAC and 36 on clinical CAD, comprising 1,248,908 participants were included in the systematic review. Studies about associations of (sub)clinical CAD with cognitive function and cognitive decline had heterogeneous methodology and inconsistent findings. Two population-based studies investigated the association between CAC and risk of dementia over 6-12.2 years using different CAC scoring methods. Both found a tendency toward higher risk of dementia as CAC severity increased. Meta-analysis in 15 studies (663,250 individuals) showed an association between CAD and MCI/dementia (pooled OR 1.32, 95%CI 1.17-1.48) with substantial heterogeneity (I²=87.0%, p＜0.001). Pooled HR of CAD for incident MCI/dementia over 3.2-25.5 years in six longitudinal studies (70,060 individuals) was 1.51 (95%CI 1.24-1.85), with low heterogeneity (I²=14.1%, p=0.32). Sensitivity analysis did not detect any study that was of particular influence on the pooled OR or HR.

CONCLUSIONS

Limited evidence suggests the CAC score is associated with risk of dementia. In clinical CAD, risk of MCI and dementia is increased by 50%, as supported by stronger evidence.

Demographic Factors and Cognitive Function Assessments Associated with Mild Cognitive Impairment Progression for the Elderly

Objectives

In this study, we aimed to conduct a 6-year follow-up and acquire a large sample dataset to analyze the most important demographic factors and cognitive function scale variables associated with mild cognitive impairment (MCI) progression for an elderly cohort (age ≥ 60 years old). Patients and Methods. We analyzed the subjects who had participated in a survey in 2011 and were successfully contacted in the later survey in 2017. For each subject, the basic demographic information was recorded, including sex, age, education level, marital status, working status, income level, and physical mental illness history. Cognitive assessments were performed using the following scales if possible: (1) the mini-mental state examination (MMSE) scale, (2) Montreal cognitive assessment (MoCA), (3) the clinical dementia rating (CDR) scale, and (4) Hamilton Depression Scale (HAMD-17).

Results

The progression outcomes were different between sexes, among age brackets, education degrees, occupations types, and income levels; different progression groups had distinct children numbers (p < 0.001), heights (p < 0.001), heights (p < 0.001), heights (p < 0.001), heights (

Conclusions

In conclusion, the MCI progression outcomes were associated with sex, age, education degrees, occupations types, income level, children number, height, and weight. MoCA and MMSE scales are supporting tools to predict the progression outcomes, especially combined with the demographic data.

Relationship Between Self-Care Behavior and Cognitive Function in Hospitalized Adult Patients with Type 2 Diabetes: A Cross-Sectional Study

PURPOSE

To investigate the relationship between diabetes self-care behavior and cognitive function of hospitalized young and middle-aged Chinese patients with type 2 diabetes mellitus (T2DM).

PATIENTS AND METHODS

In this cross-sectional study, young and middle-aged T2DM patients (age range, 35-65 years) were recruited at 4 tertiary hospitals between July 2016 and January 2017. Data pertaining to self-care behavior and cognitive function were collected using two questionnaires (the Summary of Diabetes Self-care Activities [SDSCA] and the Montreal Cognitive Assessment [MoCA], respectively). Multivariate linear regression analysis was performed to assess the correlation between cognitive function and self-care activities.

RESULTS

A total of 140 patients with diabetes were enrolled (mean age, 53.79±7.96 years). The mean duration of T2DM was 10.83±6.76 years. Regarding SDSCA performance, the mean scores for foot care and blood glucose monitoring were 2.20±2.57 and 1.98±2.45, respectively, which were the worst; scores for exercise (4.01±2.58) and diet (3.16±1.89) were better, while scores for medication administration (5.26±2.79) were the best. The prevalence of cognitive impairment was 37.9% (53 patients). After variables adjustment, delayed recall showed a significant correlation with blood sugar monitoring behavior (B =0.224, P=0.019); visual space and executive function (B=0.255, P=0.009) and abstraction (B=-0.337, P=0.001) showed a correlation with foot care behavior.

CONCLUSION

Cognitive ability affects the self-care behavior of patients with T2DM. Assessment of cognitive function may help inform patient education interventions to improve the self-care behavior of these patients.

Establishment of a Risk Prediction Model for Mild Cognitive Impairment among Elderly Chinese

BACKGROUND

Mild cognitive impairment (MCI) is a transitional stage of cognitive function between normal aging and dementia. Substantial variations in the prevalence of MCI in different countries have been studied including China. In this study, we established a prediction system to assess the risk of MCI among the elderly in China.

METHODS

The Rothman-Keller model was conducted on the basis of the risk factors of MCI obtained by the combined results of a meta-analysis. The accuracy of the model was verified using actual population data.

RESULTS

A total of 1826 subjects as a verification set were enrolled in this study in February 2019. There were statistically significant differences in the combined results of 10 risk factors including hypertension, diabetes, educational level, hyperlipidemia, smoking, physical exercise, living alone, stroke, drinking and heart disease (P<0.05). The area under the curve (AUC) of the actual data and the predictive results of this model was 0.859 (95%CI: 0.812-0.906, P<0.05), the sensitivity was 86.6% and the specificity was 76.5%.

CONCLUSIONS

This model performs an effective prediction that may be applied to the primary prevention for patients with MCI, helping to reduce the risk of MCI.

Non-communicable Diseases and Cognitive Impairment: Pathways and Shared Behavioral Risk Factors Among Older Chinese

Population aging has brought about a number of challenges to public health and primary health care systems due to increases in the prevalence of non-communicable diseases (NCDs). As a country with one of the largest populations globally, China is confronting a rising number of chronic NCDs including cardiometabolic related conditions. This mini-review investigates the link between NCDs and cognitive impairment through common risk factors. Identifying risk factors is important for the prevention and management of these chronic conditions. In addition, this review also identifies the role of primary health care services in reducing behavioral risk factors for NCDs and cognitive impairment. Addressing shared determinants and pathways is important in the design of public health interventions and primary health care services in China. Monitoring and management of NCD biomarkers and behavioral risk factors may also be beneficial for cognitive health among older Chinese.

Risk factors for cognitive impairment in older people with diabetes: a community-based study

AIM

The aim of this study was to investigate the risk factors for cognitive impairment in older people with diabetes.

METHODS

This cross-sectional study included 2626 community-dwelling participants with diabetes aged ⩾55 years, living in Beijing, China. The participants were screened for risk factors, including smoking, obesity, hypertension, stroke, coronary heart disease, dyslipidemia, depression, apolipoprotein E (APOE) genotype, and low physical activity. Cognitive function was assessed with the scholarship-adjusted Mini-Mental State Examination (MMSE): MMSE ⩽17 for iliterate participants; MMSE ⩽20 for primary school graduates (⩾6 years of education); and MMSE ⩽24 for junior school graduates or above (⩾9 years of education).

RESULTS

The prevalence of cognitive impairment in older people with diabetes was 9.90%. Multiple logistic regression analysis demonstrated that stroke [odds ratio (OR) = 1.71, 95% confidence interval (CI) = 1.20-2.43], less than 0.5 h exercise per day (OR = 1.89, 95% CI = 1.37-2.61), and depression (OR = 1.64, 95% CI = 1.06-2.54), but not smoking, obesity, hypertension, dyslipidemia, and coronary heart disease, were independent risks for cognitive impairment in older people with diabetes. In addition, being married (OR = 0.66, 95% CI = 0.47-0.93) and urban living (OR = 0.33, 95% CI = 0.22-0.48) could decrease the risk of cognitive impairment.

CONCLUSIONS

Stroke, depression, and less than 0.5 h exercise per day were independent risks for cognitive impairment in older people with diabetes, whereas being married and urban living were protective.

Risk factors for cognitive decline associated with gait speed in community-dwelling elderly Koreans with MMSE scores of 30

BACKGROUND AND AIM

We aimed to investigate the association between lower gait speed and cognitive decline over a 3-year period in community-dwelling older people with mini-mental state examination (MMSE) scores of 30 at baseline.

METHODS

The study was based on data from 10,003 Koreans aged 60 years or older who completed the National Elderly Survey in both 2008 and 2011. Among them 620 subjects achieved MMSE scores of 30 in 2008. Over a 3-year period, preservation of MMSE score 28 or more was defined as preserved cognition and decrease of three or more points as cognitive decline. A 4-m gait speed was measured at baseline. Data on sociodemographic factors (age, number of schooling years, and household composition), alcohol drinking, current smokers, Korean version of Short form Geriatric Depression Scale score, and self-reported comorbid conditions, were collected.

RESULTS

Of 620 (weighted 884) respondents included in the analysis, 208 (52.3 %) of 398 males (weighted 567) and 152 (68.5 %) of 222 females (weighted 317) suffered cognitive decline over the 3-year period. After adjustment, lower gait speed was associated with cognitive decline in males (OR 2.29; 95 % CI 1.07-4.89, P = 0.032). Educational level was a significant risk factor for both men and women (OR 0.86; 95 % CI 0.79-0.93 in males, OR 0.75; 95 % CI 0.65-0.87 in females). Males diagnosed with hypertension (OR 0.44; 95 % CI 0.22-0.88) or male smokers (OR 0.38; 95 % CI 0.19-0.75) were significantly less likely to have cognitive decline. There was no significant association between cognitive decline and gait speed in females.

CONCLUSIONS

Higher 4-m gait speed is associated with preservation of cognitive function over time in men, but not in women.

Cognition and Indicators of Dietary Habits in Older Adults from Southern Brazil

OBJECTIVE

To assess the association between unhealthy dietary habits and cognition in older adults from Southern Brazil.

METHODS

This cross-sectional study analyzed data from the second wave of a population- and household-based epidemiological survey (2013-2014) conducted in the city of Florianópolis. A total of 1,197 older adults (778 women) over 60 years old participated in the study. Cognition, the dependent variable, was measured by the Mini-Mental State Examination (MMSE). The independent variables were the following indicators of unhealthy dietary habits: low intake of fruits and vegetables (≤ 4 servings/day); fish (< 1 serving/week); and habitual fatty meat intake (yes/no). Adjustments were made for age, education level, income, smoking status, alcohol intake, leisure-time physical activity, depression symptoms, chronic diseases, and body mass index. Simple and multiple linear regression analyses were performed, considering sampling weights and stratification by gender.

RESULTS

The mean MMSE scores for men and women were 25.15 ± 5.56 and 24.26 ± 5.68, respectively (p = 0.009). After adjustments, in women low fruit and vegetable intake (≤ 4 servings/day) was independently associated with the lowest MMSE scores. No associations were found in men. Additionally, women's mean MMSE scores increased as their daily frequency of fruit and vegetable intake increased (p = 0.001).

CONCLUSION

Women with low fruit and vegetable intake according to the World Health Organization (WHO) have lower cognition scores. Regular intake of fruits, vegetables, and fish in exchange of fatty meats may be a viable public policy strategy to preserve cognition in aging.