Mild Cognitive Impairment More Common in Older Men than Older Women: NIH-Supported Study Suggests Gender Differences in Cognitive Problems

Abstract Background Evidence concerning the association between body mass index (BMI) and cognitive function among older people is inconsistent. This study aimed to investigate gender and age as moderators in association between BMI and mild cognitive impairment (MCI) among rural older adults. Methods Data were derived from the 2019 Health Service for Rural Elderly Families Survey in Shandong, China. In total, 3242 people aged 60 years and above were included in the analysis. Multilevel mixed-effects logistic regression was used to examine the moderating roles of gender and age, then further to explore the relationship between BMI and MCI. Results There were 601 (18.5%) participants with MCI. Compared with normal BMI group, low BMI group had a higher risk of MCI among older people [adjusted odds ratio (aOR) = 2.08, 95% confidence interval (CI): 1.26–3.44], women (aOR = 2.06, 95% CI: 1.35–3.12), or the older elderly aged ≥75 years old (aOR = 3.20, 95% CI: 1.34–7.45). This effect remained statistically significant among older women (aOR = 3.38, 95% CI: 1.69–6.73). Among older men, elevated BMI group had a higher risk of MCI (aOR = 2.32, 95% CI: 1.17–4.61) than normal BMI group. Conclusions Gender and age moderated the association between BMI and MCI among Chinese rural older adults. Older women with low BMI were more likely to have MCI, but older men with elevated BMI were more likely to have MCI. These findings suggest rural community managers strengthen the health management by grouping the weight of older people to prevent the risk of dementia.

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The Correlates of Cognitive Status Among Older Americans Living in the Community: Does Gender Make a Difference?

Innovation in Aging ◽

10.1093/geroni/igaa057.206 ◽

2020 ◽

Vol 4 (Supplement_1) ◽

pp. 63-63

Author(s):

Ethan Siu Leung Cheung ◽

Ada Mui ◽

Seth Hoffman

Keyword(s):

Gender Differences ◽

Older Women ◽

Short Form ◽

Cognitive Impairments ◽

Older Men ◽

Cognitive Status ◽

Ethnic Composition ◽

Community Safety ◽

Independent Effect ◽

Community Factors

Abstract Utilizing the data in National Social Life, Health and Aging Project (n = 3,104; 54% female), the study examined the predictors of cognitive impairments in terms of community harmony, community safety, frequency of neighbor contacts, depression, and demographic factors. Bivariate analyses suggest that there were no gender differences in cognitive status (Mean of MoCA Short Form = 9.89; SD = 3.33); nor were there gender differences in age (mean age = 72.95; SD=8.29), ethnic composition (76.1% whites; 15.3% Blacks, 8.6% Asian), community harmony, community safety, frequency of neighbor contacts. On the other hand, men had more education and income than women. Psychologically, older women reported higher level of stress and depression scores than older men. Multiple regression results show that gender has a significant independent effect and joint effects with stressors and community factors in explaining cognitive impairments. Parallel regression analyses for each gender group were conducted and models were significant (P < .0001). There were common predictors of cognitive impairments for the two groups but variables had differential impacts on older men and older women. Specifically, IADL had stronger effect on older men than on older women in predicting cognitive impairments (b = -.23 vs. b=-.10); perceived community harmony had stronger impact on older women in explaining their cognitive status (b = .26 vs. b=.22); older women’s cognitive status benefitted more from perceived community safety than older men (b = .61 vs. b=.43). Regardless of gender, older Whites scored higher than Black and Asian elders in their cognition scores.

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Sleep-Disordered Breathing, Hypoxia, and Risk of Mild Cognitive Impairment and Dementia in Older Women

Obstetrical & Gynecological Survey ◽

10.1097/ogx.0b013e3182439f33 ◽

2012 ◽

Vol 67 (1) ◽

pp. 34-36 ◽

Cited By ~ 1

Author(s):

Kristine Yaffe ◽

Alison M. Laffan ◽

Stephanie Litwack Harrison ◽

Susan Redline ◽

Adam P. Spira ◽

...

Keyword(s):

Cognitive Impairment ◽

Mild Cognitive Impairment ◽

Older Women ◽

Sleep Disordered Breathing ◽

Disordered Breathing

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Abstract 1122‐000036: Demographic and Pharmacological Characteristics of Alzheimer Dementia Patients with Mild Cognitive Impairment stratified by Gender

Stroke: Vascular and Interventional Neurology ◽

10.1161/svin.01.suppl_1.000036 ◽

2021 ◽

Vol 1 (S1) ◽

Author(s):

Oreoluwa O Coker‐Ayo ◽

Samuel Nathaniel ◽

Chika Onuoha ◽

Nneoma Madubuike ◽

Lidadi Agbomi ◽

...

Keyword(s):

Gender Differences ◽

Cognitive Impairment ◽

Mild Cognitive Impairment ◽

Regression Models ◽

Operating Characteristic ◽

Management Strategies ◽

Roc Curve Analysis ◽

Alzheimer Dementia ◽

Dementia Patients ◽

Specific Factors

Introduction : The role that specific clinical factors play in contributing to gender differences in Alzheimer’s patients with mild cognitive impairment (MCI) is not yet fully understood. In this study, we tested the hypothesis that pharmacological, demographic, and risk factors may contribute to gender difference in Alzheimer’s patients with MCI. Methods : Methods Data collected for 5 years was analyzed using a retrospective data analytical approach on 33,064 Alzheimer patients, including 13,569 men and 19,495 women that presented with MCI. Receiver operating characteristic (ROC) curve analysis and multivariate regression models were used to identify specific factors that contribute to gender differences in MCI patients. Results : Results Our records indicate that women that presented with MCI were more likely to be taking Buspirone (OR = 0.767, 95% CI, 0.683‐0.861, P<0.001) while men within this population were more likely to be taking Galantamine (OR = 0.559, 95% CI, 0.382‐0.818, P<0.001). ETOH use was associated with MCI in both men (OR = 0.696, 95% CI, 0.638‐0.760, P<0.001) and women with Alzheimer’s Dementia (OR = 0.484, 95% CI, 0.442‐0.529, P<0.001). Conclusions : Conclusion Our findings reveal gender differences in men and women that presented with MCI. Management strategies should consider identified factors to provide better care for Alzheimer patients with MCI.

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Weight Trajectory over 20 Years and Likelihood of Mild Cognitive Impairment or Dementia Among Older Women

Journal of the American Geriatrics Society ◽

10.1111/jgs.14552 ◽

2016 ◽

Vol 65 (3) ◽

pp. 511-519 ◽

Cited By ~ 10

Author(s):

Erin S. LeBlanc ◽

Joanne H. Rizzo ◽

Kathryn L. Pedula ◽

Kristine Yaffe ◽

Kristine E. Ensrud ◽

...

Keyword(s):

Cognitive Impairment ◽

Mild Cognitive Impairment ◽

Older Women

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PREDICTORS OF INSOMNIA IN INDIVIDUALS WITH MILD COGNITIVE IMPAIRMENT

Innovation in Aging ◽

10.1093/geroni/igz038.1734 ◽

2019 ◽

Vol 3 (Supplement_1) ◽

pp. S464-S464

Author(s):

Meghan Mattos ◽

Eric M Davis ◽

Carol Manning

Keyword(s):

Cognitive Impairment ◽

Mild Cognitive Impairment ◽

Total Sample ◽

Cross Sectional Study ◽

Chi Square ◽

Cross Sectional ◽

Data Set ◽

Specialized Care ◽

Using Data ◽

Cognitive Problems

Abstract Insomnia is a common disorder that affects up to 40% of people age 65 and older. Untreated insomnia can decrease quality of life, increase healthcare use, and exacerbate cognitive problems. Individuals with cognitive impairment experience more sleep disorders than those without cognitive concerns, yet little is known about insomnia and mild cognitive impairment (MCI). Our objective was to examine predictors of insomnia in persons with MCI (PwMCI). Using data from the National Alzheimer’s Coordinating Center Uniform Data Set, a cross-sectional study of older PwMCI was conducted. Independent sample t-tests and contingency tables with chi-square tests of independence were used to examine differences between PwMCI with and without insomnia. Multivariate binary logistic modeling was performed. The total sample (N=1543) was comprised of 234 (15.1%) with clinician-reported insomnia and 1309 (84.9%) without insomnia. PwMCI and insomnia were more likely to be younger, take more medications, and smoke cigarettes (p.05). Three variables significantly predicted insomnia in PwMCI subjects in a multivariate model: active depression (OR 1.66, 95%CI 1.21, 2.27), active anxiety (OR 2.16, 95%CI 1.57, 2.99) and arthritis (OR 1.78, 95%CI 1.33, 2.39). Differences in predictors of insomnia in PwMCI highlight the need for geriatric and mental health specialists to provide specialized care to this population. Future studies should examine conversion of PwMCI with insomnia to dementia and the compounding effects of insomnia on cognition.

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