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Late-life body mass index and dementia incidence: nine-year follow-up data from the Kungsholmen Project.
J Am Geriatr Soc. 2008 Jan; 56(1):111-6.JA

Abstract

OBJECTIVES

To describe the association between late-life body mass index (BMI) and dementia development with a time perspective and to investigate the effect of weight changes on dementia incidence.

DESIGN

Three-, 6-, and 9-year follow-up study.

SETTING

The Kungsholmen Project.

PARTICIPANTS

One thousand two hundred fifty-five subjects aged 75 and older with baseline BMI data available.

MEASUREMENTS

Cox-regression models were used to estimate hazard ratios (HRs) for dementia detected at different risk periods in relation to baseline BMI. The association between BMI changes and development of dementia after 3 and 6 years was also analyzed.

RESULTS

Subjects with a BMI of 25.0 kg/m2 or higher had a lower risk of developing dementia than subjects with a BMI of 20.0 to 24.9 (HR=0.75, 95% confidence interval (CI)=0.59-0.96), even when cases occurring only during the last follow-up period (6-9 years after BMI assessment) were included (HR=0.66. 95% CI=0.40-1.07). Severe BMI loss (>10%) was related to a greater risk of dementia, but this association was present only for dementia cases detected in the subsequent 3 years (HR=2.18, 95% CI=1.27-3.74).

CONCLUSION

This study does not confirm that being overweight in late life is a risk factor for dementia, although a protective effect for a BMI greater than 25.0 is suggested. In addition, BMI loss is confirmed as a marker of incipient dementia. The findings suggest that, from a clinical perspective, the cognitive profile of elderly persons with unexplained weight loss should be considered and that being moderately overweight at older ages might be indicative of good health status.

Authors+Show Affiliations

Aging Research Center, Karolinska Institutet and Stockholm Gerontology Research Center, Stockholm, Sweden. anna.rita.atti@ki.seNo affiliation info availableNo affiliation info availableNo affiliation info availableNo affiliation info availableNo affiliation info available

Pub Type(s)

Comparative Study
Journal Article
Research Support, Non-U.S. Gov't

Language

eng

PubMed ID

18028342

Citation

Atti, Anna Rita, et al. "Late-life Body Mass Index and Dementia Incidence: Nine-year Follow-up Data From the Kungsholmen Project." Journal of the American Geriatrics Society, vol. 56, no. 1, 2008, pp. 111-6.
Atti AR, Palmer K, Volpato S, et al. Late-life body mass index and dementia incidence: nine-year follow-up data from the Kungsholmen Project. J Am Geriatr Soc. 2008;56(1):111-6.
Atti, A. R., Palmer, K., Volpato, S., Winblad, B., De Ronchi, D., & Fratiglioni, L. (2008). Late-life body mass index and dementia incidence: nine-year follow-up data from the Kungsholmen Project. Journal of the American Geriatrics Society, 56(1), 111-6.
Atti AR, et al. Late-life Body Mass Index and Dementia Incidence: Nine-year Follow-up Data From the Kungsholmen Project. J Am Geriatr Soc. 2008;56(1):111-6. PubMed PMID: 18028342.
* Article titles in AMA citation format should be in sentence-case
TY - JOUR T1 - Late-life body mass index and dementia incidence: nine-year follow-up data from the Kungsholmen Project. AU - Atti,Anna Rita, AU - Palmer,Katie, AU - Volpato,Stefano, AU - Winblad,Bengt, AU - De Ronchi,Diana, AU - Fratiglioni,Laura, Y1 - 2007/11/20/ PY - 2007/11/22/pubmed PY - 2008/1/25/medline PY - 2007/11/22/entrez SP - 111 EP - 6 JF - Journal of the American Geriatrics Society JO - J Am Geriatr Soc VL - 56 IS - 1 N2 - OBJECTIVES: To describe the association between late-life body mass index (BMI) and dementia development with a time perspective and to investigate the effect of weight changes on dementia incidence. DESIGN: Three-, 6-, and 9-year follow-up study. SETTING: The Kungsholmen Project. PARTICIPANTS: One thousand two hundred fifty-five subjects aged 75 and older with baseline BMI data available. MEASUREMENTS: Cox-regression models were used to estimate hazard ratios (HRs) for dementia detected at different risk periods in relation to baseline BMI. The association between BMI changes and development of dementia after 3 and 6 years was also analyzed. RESULTS: Subjects with a BMI of 25.0 kg/m2 or higher had a lower risk of developing dementia than subjects with a BMI of 20.0 to 24.9 (HR=0.75, 95% confidence interval (CI)=0.59-0.96), even when cases occurring only during the last follow-up period (6-9 years after BMI assessment) were included (HR=0.66. 95% CI=0.40-1.07). Severe BMI loss (>10%) was related to a greater risk of dementia, but this association was present only for dementia cases detected in the subsequent 3 years (HR=2.18, 95% CI=1.27-3.74). CONCLUSION: This study does not confirm that being overweight in late life is a risk factor for dementia, although a protective effect for a BMI greater than 25.0 is suggested. In addition, BMI loss is confirmed as a marker of incipient dementia. The findings suggest that, from a clinical perspective, the cognitive profile of elderly persons with unexplained weight loss should be considered and that being moderately overweight at older ages might be indicative of good health status. SN - 1532-5415 UR - https://www.unboundmedicine.com/medline/citation/18028342/Late_life_body_mass_index_and_dementia_incidence:_nine_year_follow_up_data_from_the_Kungsholmen_Project_ DB - PRIME DP - Unbound Medicine ER -