ANEMIA AND MILD COGNITIVE IMPAIRMENT IN A GERMAN GENERAL POPULATION

ANEMIA AND MILD COGNITIVE IMPAIRMENT IN A GERMAN GENERAL POPULATION

Poster Presentations: P2 of incident AD across the entire group (HR¼1.63, 95%CI: 1.18-2.25, p¼0.003). However, this association was not uniformly pres...

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Poster Presentations: P2 of incident AD across the entire group (HR¼1.63, 95%CI: 1.18-2.25, p¼0.003). However, this association was not uniformly present in all subgroups. The respective HR of low physical activity regarding AD risk within each group were: CO: 1.7 (95%CI: 0.955-3.03, p¼0.072), SCDnw: 2.99 (95%CI: 1.35-6.58, p¼0.007), SCDw: 1.27 (95%CI: 0.618-2.63, p¼0.512) and MCI: 1.20 (95%CI: 0.673-2.14, p¼0.537). Conclusions: Low physical activity is associated with greatest risk increase of AD in individuals with SCDnw. There was no risk modification in the SCDw and MCI group suggesting that physical activity has the greatest protective potential at the stage of early SCD without worries and much less in more advanced at-risk stages of AD such as SCDw and MCI. This is of particular relevance for AD prevention programs. P2-284

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DIFFERENCES IN THE PREVALENCE OF DEMENTIA AND MILD COGNITIVE IMPAIRMENT BETWEEN EARLY AND DELAYED RESPONDERS IN A COMMUNITY-BASED STUDY

Moeko Noguchi-Shinohara1, Sohshi Yuki1, Chiaki Dohmoto1, Yoshihisa Ikeda1, Miharu Samuraki1, Kazuo Iwasa1, Masami Yokogawa2, Kimiko Asai3, Kiyonobu Komai4, Hiroyuki Nakamura1, Masahito Yamada5, 1Kanazawa University Graduate School of Medical Science, Kanazawa, Japan; 2School of Health Sciences, College of Medical, Pharmaceutical, and Health Sciences, Kanazawa University, Kanazawa, Japan; 3Bishoen Geriatric Health Services Facility, Suzu, Isikawa, Japan; 4 Iou Hospital Organization, Kanazawa, Japan; 5Kanazawa University, Kanazawa, Japan. Contact e-mail: [email protected]

ANEMIA AND MILD COGNITIVE IMPAIRMENT IN A GERMAN GENERAL POPULATION 1

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Background: Many studies have reported differences in demographic characteristics between responders and non-responders. We hypothesized that the prevalence of dementia and mild cognitive impairment (MCI) was higher in non-responders than responders of brain function surveys. The objective of this study was to evaluate non-responder bias in dementia screening in the general population. Methods: We compared the prevalence of dementia and MCI between early responders of a mass brain function examination and delayed responders (non-responders of the mass brain function examination) in a survey to evaluate non-responder bias. We targeted all residents in an area of Nakajima, Japan, aged 65 years, and the 783 inhabitants were considered potential candidates. Participants of a mass brain function examination were considered as "early responders." To assess the cognitive functions of non-participants, we visited them at home. Residents who participated in the in-home survey were considered "delayed responders". Results: A total of 76 subjects (29 men and 47 women) fulfilled the diagnostic criteria for dementia and 107 subjects (41 men and 66 women) fulfilled the diagnostic criteria for mild cognitive impairment, yielding a prevalence of dementia of 11.6 cases/100 persons (95% CI, 9.3-10.6) and a prevalence of MCI of 16.4 cases/100 persons (95% CI, 13.6-19.9) aged 65 years, respectively. Delayed responders (n ¼ 320) were significantly older and less educated than the early responders (n ¼ 307). The delayed responders also exhibited a higher frequency of dementia and mild cognitive impairment than the early responders, even when the groups were restricted to the age group 65-89 years. Conclusions: Delayed responders in our community survey were associated with more cognitive decline, and higher prevalence of dementia and MCI. Our results indicated that the prevalence of dementia and MCI is likely underestimated in population-based studies with low participation rates.

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Martha Dlugaj , Lewin Eisele , Angela Winkler , Jan D€urig , Martina Br€ ocker-Preuß1, Nico Dragano3, Susanne Moebus1, KarlHeinz J€ ockel4, Raimund Erbel1, Christian Weimar5, 1University Hospital Essen, Essen, Germany; 2Department of Neurology, Essen, Essen, Germany; 3Universtiy of D€ usseldorf, D€usseldorf, Germany; 4University Hospital of Essen, Essen, Germany; 5Universtiy Hospital Essen, Essen, Germany. Contact e-mail: [email protected] Background: There is increasing evidence that anemia is associated with cognitive impairment. We examined the cross-sectional association of anemia with mild cognitive impairment (MCI) and MCI subtypes in a population-based Heinz Nixdorf Recall study. Methods: Out of 4157 participants (50% men, 50-80 years old), assessed between 2006-2008, we analysed data of 4033 participants with available hemoglobin data and complete cognitive assessment. Anemia was defined as haemoglobin level <13 g/dl in men (n¼84) and <12 g/dl in women (n¼79). Group comparisons were used to compare performances among the administered cognitive subtests. Multivariate logistic regression models (adjusted for potential sociodemographic and cardiovascular confounders) were calculated to determine the association of MCI (n¼579) and MCI subtypes (amnestic (aMCI, n¼299); non-amnestic (naMCI, n¼280)) with anemia for the total sample and stratified by gender. Results: Anemic participants had lower cognitive performance in verbal memory and executive functions compared to non-anemic individuals. Using MCI as outcome variable, the fully adjusted odds ratio (OR) for anemic vs. non-anemic participants was 1.81 (95% confidence interval (CI), 1.04-3.15) in the total sample, 1.93 (0.95-3.92) for men and 1.73 (0.68-4.36) for women. For aMCI, the fully adjusted OR was 1.90 (0.983.67) in the total sample, 1.71 (0.73-3.99) for men and 2.22 (0.70-6.98) for women. Regarding naMCI, the fully adjusted OR was 1.71 (0.85-3.44) in the total sample, 2.23 (0.89-5.60) for men and 1.37 (0.43-4.39) for women. Conclusions: This population-based study suggests that anemia is associated with an increased risk of MCI independently of traditional cardiovascular risk factors.

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COMPARISON OF HEALTH PROFILES OF OLDER ADULTS WITH MCI AND WITHOUT MCI

Myonghwa Park1, Dong Young Lee2, Mi Ra Sung3, Seok Jo Yang1, 1 Chungnam National University, Daejeon, South Korea; 2Seoul National

Table 1 Comparison of comorbidity between MCI and non-MCI M

Variable HTN

DM

Stroke

None Yes Total None Yes Total None Yes Total

F

Total

Normal

MCI

Normal

MCI

Normal

MCI

(n¼994)

(n¼1007)

(n¼2017)

(n¼1651)

(n¼3011)

(n¼2658)

n

%

n

%

n

%

n

%

n

%

n

%

496 498 994 755 239 994 933 61 994

49.9 50.1

428 535 963 698 240 919 794 120 914

44.4 55.6

5.840

.016

41.1 58.9

0.553

.457

0.43

.511

75.2 24.8

18.171

<.001

74.9 25.1

15.83

<.001

86.9 13.1

27.113

<.001

93.4 6.6

7.888

.005

1,101 1,453 2,554 1,849 620 2,435 2,173 218 2,391

43.1 56.9

.433

1,324 1,686 3,010 2,391 620 3,011 2,859 151 3,010

44.0 56.0

0.615

673 918 1,591 1,151 380 1,516 1,379 98 1,477

42.3 57.7

74.4 25.6

828 1,188 2,016 1,636 381 2,017 1,926 90 2,016

90.9 9.1

35.21

<.001

76.0 24.0 93.9 6.1

p

81.1 18.9 95.5 4.5

p

79.4 20.6 95.0 5.0

p