A Systematic Review of Meta-Analyses that Evaluate Risk Factors for Dementia to Evaluate the Quantity, Quality, and Global Representativeness of Evidence.

Alzheimer’s disease cohort studies meta-analysis prevention risk factor vascular dementia

Journal

Journal of Alzheimer's disease : JAD
ISSN: 1875-8908
Titre abrégé: J Alzheimers Dis
Pays: Netherlands
ID NLM: 9814863

Informations de publication

Date de publication:
2019
Historique:
pubmed: 16 7 2019
medline: 21 10 2020
entrez: 16 7 2019
Statut: ppublish

Résumé

The translation of evidence on dementia risk factors into clinical advice requires careful evaluation of the methodology and scope of data from which risk estimates are obtained. To evaluate the quantity, quality, and representativeness of evidence, we conducted a review of reviews of risk factors for Alzheimer's disease (AD), Vascular dementia (VaD), and Any Dementia. PubMed, Cochrane library, and the Global Index Medicus were searched to identify meta-analyses of observational studies of risk factors for AD, VaD, and Any Dementia. PROSPERO CRD42017053920. Meta-analysis data were available for 34 risk factors for AD, 26 risk factors for Any Dementia and eight for VaD. Quality of evidence varied greatly in terms of the number of contributing studies, whether data on midlife exposure was available, and consistency of measures. The most evidence was available for cardiovascular risk factors. The most geographically representative evidence (five of six global regions) was available for alcohol, physical activity, diabetes, high midlife BMI, antihypertensives, and motor function. Evidence from Australia/Oceana or Africa was limited. With the exception of diabetes, meta-analysis data were unavailable from Latin America/Caribbean. Midlife specific data were only available for cholesterol and arthritis. There is a lack of midlife specific data, limited data on VaD, and a lack of geographical representation for many risk factors for dementia. The quality, quantity, and representativeness of evidence needs to be considered before recommendations are made about the relevance of risk factors in mid- or late-life or for dementia subtypes.

Sections du résumé

BACKGROUND
The translation of evidence on dementia risk factors into clinical advice requires careful evaluation of the methodology and scope of data from which risk estimates are obtained.
OBJECTIVE
To evaluate the quantity, quality, and representativeness of evidence, we conducted a review of reviews of risk factors for Alzheimer's disease (AD), Vascular dementia (VaD), and Any Dementia.
METHODS
PubMed, Cochrane library, and the Global Index Medicus were searched to identify meta-analyses of observational studies of risk factors for AD, VaD, and Any Dementia. PROSPERO CRD42017053920.
RESULTS
Meta-analysis data were available for 34 risk factors for AD, 26 risk factors for Any Dementia and eight for VaD. Quality of evidence varied greatly in terms of the number of contributing studies, whether data on midlife exposure was available, and consistency of measures. The most evidence was available for cardiovascular risk factors. The most geographically representative evidence (five of six global regions) was available for alcohol, physical activity, diabetes, high midlife BMI, antihypertensives, and motor function. Evidence from Australia/Oceana or Africa was limited. With the exception of diabetes, meta-analysis data were unavailable from Latin America/Caribbean. Midlife specific data were only available for cholesterol and arthritis.
CONCLUSION
There is a lack of midlife specific data, limited data on VaD, and a lack of geographical representation for many risk factors for dementia. The quality, quantity, and representativeness of evidence needs to be considered before recommendations are made about the relevance of risk factors in mid- or late-life or for dementia subtypes.

Identifiants

pubmed: 31306123
pii: JAD190181
doi: 10.3233/JAD-190181
pmc: PMC6700718
doi:

Types de publication

Journal Article Research Support, Non-U.S. Gov't Systematic Review

Langues

eng

Sous-ensembles de citation

IM

Pagination

S165-S186

Subventions

Organisme : Medical Research Council
ID : G0500997
Pays : United Kingdom
Organisme : Medical Research Council
ID : MR/J50001X/1
Pays : United Kingdom

Références

JAMA. 2001 Mar 21;285(11):1489-99
pubmed: 11255426
Addiction. 2002 Jan;97(1):15-28
pubmed: 11895267
BMJ. 2003 Jul 19;327(7407):128
pubmed: 12869452
Neuroepidemiology. 2004 Jul-Aug;23(4):159-69
pubmed: 15279021
Neuroepidemiology. 2006;26(4):226-32
pubmed: 16707907
Lancet. 2006 May 27;367(9524):1747-57
pubmed: 16731270
Dement Geriatr Cogn Disord. 2007;23(3):194-201
pubmed: 17259710
BMC Med Res Methodol. 2007 Feb 15;7:10
pubmed: 17302989
Neurol Res. 2007 Jan;29(1):91-5
pubmed: 17427282
Am J Epidemiol. 2007 Aug 15;166(4):367-78
pubmed: 17573335
Obes Rev. 2008 May;9(3):204-18
pubmed: 18331422
Arch Gerontol Geriatr. 2009 May-Jun;48(3):425-30
pubmed: 18479766
Age Ageing. 2008 Sep;37(5):505-12
pubmed: 18487267
Psychol Med. 2009 Jan;39(1):3-11
pubmed: 18570697
BMC Geriatr. 2008 Dec 23;8:36
pubmed: 19105840
PLoS One. 2009;4(1):e4144
pubmed: 19127292
Am J Geriatr Psychiatry. 2009 Jul;17(7):542-55
pubmed: 19546653
Obes Rev. 2011 May;12(5):e426-37
pubmed: 21348917
Int J Geriatr Psychiatry. 2011 Jul;26(7):661-9
pubmed: 21495075
Arch Neurol. 2011 Sep;68(9):1185-90
pubmed: 21555601
Epidemiology. 2011 Sep;22(5):646-59
pubmed: 21705906
J Alzheimers Dis. 2011;27(4):799-807
pubmed: 21876250
Int J Clin Pract. 2011 Dec;65(12):1295-305
pubmed: 22093537
Intern Med J. 2012 May;42(5):484-91
pubmed: 22372522
J Gerontol A Biol Sci Med Sci. 2013 Apr;68(4):433-40
pubmed: 22982688
Pharmacoepidemiol Drug Saf. 2013 Apr;22(4):345-58
pubmed: 23225700
Epidemiol Rev. 2013;35:152-60
pubmed: 23314404
Obesity (Silver Spring). 2013 Jan;21(1):E51-5
pubmed: 23401370
Ann Intern Med. 2013 Mar 5;158(5 Pt 1):338-46
pubmed: 23460057
Br J Psychiatry. 2013 May;202(5):329-35
pubmed: 23637108
Epidemiol Rev. 2014;36:83-103
pubmed: 24042430
Mayo Clin Proc. 2013 Nov;88(11):1213-21
pubmed: 24095248
J Alzheimers Dis. 2014;39(2):271-82
pubmed: 24164735
Ann Intern Med. 2013 Nov 19;159(10):688-97
pubmed: 24247674
J Clin Epidemiol. 2014 Apr;67(4):368-75
pubmed: 24581293
J Diabetes Investig. 2013 Nov 27;4(6):640-50
pubmed: 24843720
BMC Public Health. 2014 May 27;14:510
pubmed: 24885250
J Alzheimers Dis. 2014;42(2):565-73
pubmed: 24906231
J Alzheimers Dis. 2014;42(4):1295-310
pubmed: 25024338
J Alzheimers Dis. 2015;43(2):479-89
pubmed: 25096624
J Alzheimers Dis. 2015;44(2):385-96
pubmed: 25227314
Neurosci Biobehav Rev. 2015 Jan;48:1-9
pubmed: 25446949
Mol Neurobiol. 2016 Mar;53(2):1229-1236
pubmed: 25609141
Neuroepidemiology. 2015;44(1):51-63
pubmed: 25721193
PLoS One. 2015 Mar 12;10(3):e0118333
pubmed: 25763939
BMC Geriatr. 2015 Feb 11;15:9
pubmed: 25887627
Ageing Res Rev. 2015 Jul;22:39-57
pubmed: 25956016
Mol Neurobiol. 2016 Jul;53(5):3113-3123
pubmed: 25983035
Mol Neurobiol. 2016 May;53(4):2594-9
pubmed: 26084440
Epidemiology. 2015 Sep;26(5):769-73
pubmed: 26098935
Mol Neurobiol. 2016 May;53(4):2679-84
pubmed: 26154489
Nutr J. 2015 Aug 01;14:76
pubmed: 26231781
J Neurol Neurosurg Psychiatry. 2015 Dec;86(12):1299-306
pubmed: 26294005
J Neurosurg. 2016 Feb;124(2):511-26
pubmed: 26315003
Int J Evid Based Healthc. 2015 Sep;13(3):132-40
pubmed: 26360830
Mol Neurobiol. 2016 Nov;53(9):6144-6154
pubmed: 26553347
Diabetes Care. 2016 Feb;39(2):300-7
pubmed: 26681727
BMJ Open. 2015 Dec 21;5(12):e008853
pubmed: 26692556
Am J Clin Nutr. 2016 Feb;103(2):330-40
pubmed: 26718417
Age Ageing. 2016 Jan;45(1):14-21
pubmed: 26764391
J Hypertens. 2016 Jun;34(6):1027-35
pubmed: 26886565
Alzheimers Dement. 2016 Mar;12(3):225-32
pubmed: 26900132
Nutrition. 2016 Jun;32(6):628-36
pubmed: 26944757
J Psychiatr Res. 2016 Jun;77:109-15
pubmed: 27017287
Dement Geriatr Cogn Disord. 2016;41(5-6):251-60
pubmed: 27250528
Mayo Clin Proc. 2016 Aug;91(8):999-1020
pubmed: 27492909
Sci Rep. 2016 Aug 25;6:31975
pubmed: 27558885
Sci Rep. 2016 Sep 01;6:32222
pubmed: 27581992
Ann Intern Med. 2017 Jan 17;166(2):128-132
pubmed: 27893062
J Alzheimers Dis. 2017;56(1):215-228
pubmed: 27911314
Neuroepidemiology. 2016;47(3-4):171-180
pubmed: 27992864
PLoS One. 2017 Jan 9;12(1):e0169650
pubmed: 28068405
Diabetes Res Clin Pract. 2017 Feb;124:41-47
pubmed: 28088029
Br J Sports Med. 2017 Oct;51(20):1456-1458
pubmed: 28223307
Sleep. 2017 Jan 01;40(1):null
pubmed: 28364458
Lancet. 2017 Dec 16;390(10113):2673-2734
pubmed: 28735855
BMJ Open. 2017 Oct 22;7(10):e014706
pubmed: 29061599
Biomed Res Int. 2017;2017:4368474
pubmed: 29094046
Maturitas. 2018 Jun;112:1-11
pubmed: 29704910
Neurology. 1993 Feb;43(2):250-60
pubmed: 8094895

Auteurs

Kaarin J Anstey (KJ)

School of Psychology, University of New South Wales, Sydney, NSW, Australia.
Neuroscience Research Australia (NeuRA), Sydney, NSW, Australia.

Nicole Ee (N)

School of Psychology, University of New South Wales, Sydney, NSW, Australia.
Neuroscience Research Australia (NeuRA), Sydney, NSW, Australia.

Ranmalee Eramudugolla (R)

Neuroscience Research Australia (NeuRA), Sydney, NSW, Australia.

Carol Jagger (C)

Newcastle Institute for Ageing, Newcastle University, Newcastle, UK.

Ruth Peters (R)

School of Psychology, University of New South Wales, Sydney, NSW, Australia.
Neuroscience Research Australia (NeuRA), Sydney, NSW, Australia.

Articles similaires

[Redispensing of expensive oral anticancer medicines: a practical application].

Lisanne N van Merendonk, Kübra Akgöl, Bastiaan Nuijen
1.00
Humans Antineoplastic Agents Administration, Oral Drug Costs Counterfeit Drugs

Smoking Cessation and Incident Cardiovascular Disease.

Jun Hwan Cho, Seung Yong Shin, Hoseob Kim et al.
1.00
Humans Male Smoking Cessation Cardiovascular Diseases Female
Humans United States Aged Cross-Sectional Studies Medicare Part C
1.00
Humans Yoga Low Back Pain Female Male

Classifications MeSH