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Pre-Statistical Considerations for Harmonization of Cognitive Instruments: Harmonization of ARIC, CARDIA, CHS, FHS, MESA, and NOMAS.
Wednesday,2021-12-15 17:38 America/Los_Angeles — ecterry
| Title | Pre-Statistical Considerations for Harmonization of Cognitive Instruments: Harmonization of ARIC, CARDIA, CHS, FHS, MESA, and NOMAS. |
| Publication Type | Journal Article |
| Year of Publication | 2021 |
| Authors | Briceño, EM, Gross, AL, Giordani, BJ, Manly, JJ, Gottesman, RF, Elkind, MSV, Sidney, S, Hingtgen, S, Sacco, RL, Wright, CB, Fitzpatrick, A, Fohner, AE, Mosley, TH, Yaffe, K, Levine, DA |
| Journal | J Alzheimers Dis |
| Volume | 83 |
| Issue | 4 |
| Pagination | 1803-1813 |
| Date Published | 2021 |
| ISSN | 1875-8908 |
| Abstract | <p><b>BACKGROUND: </b>Meta-analyses of individuals' cognitive data are increasing to investigate the biomedical, lifestyle, and sociocultural factors that influence cognitive decline and dementia risk. Pre-statistical harmonization of cognitive instruments is a critical methodological step for accurate cognitive data harmonization, yet specific approaches for this process are unclear.</p><p><b>OBJECTIVE: </b>To describe pre-statistical harmonization of cognitive instruments for an individual-level meta-analysis in the blood pressure and cognition (BP COG) study.</p><p><b>METHODS: </b>We identified cognitive instruments from six cohorts (the Atherosclerosis Risk in Communities Study, Cardiovascular Health Study, Coronary Artery Risk Development in Young Adults study, Framingham Offspring Study, Multi-Ethnic Study of Atherosclerosis, and Northern Manhattan Study) and conducted an extensive review of each item's administration and scoring procedures, and score distributions.</p><p><b>RESULTS: </b>We included 153 cognitive instrument items from 34 instruments across the six cohorts. Of these items, 42%were common across ≥2 cohorts. 86%of common items showed differences across cohorts. We found administration, scoring, and coding differences for seemingly equivalent items. These differences corresponded to variability across cohorts in score distributions and ranges. We performed data augmentation to adjust for differences.</p><p><b>CONCLUSION: </b>Cross-cohort administration, scoring, and procedural differences for cognitive instruments are frequent and need to be assessed to address potential impact on meta-analyses and cognitive data interpretation. Detecting and accounting for these differences is critical for accurate attributions of cognitive health across cohort studies.</p> |
| DOI | 10.3233/JAD-210459 |
| Alternate Journal | J Alzheimers Dis |
| PubMed ID | 34459397 |
| Grant List | R01 NS029993 / NS / NINDS NIH HHS / United States R01 NS102715 / NS / NINDS NIH HHS / United States R01 AG051827 / AG / NIA NIH HHS / United States P30 AG024824 / AG / NIA NIH HHS / United States K01 AG050699 / AG / NIA NIH HHS / United States P30 AG053760 / AG / NIA NIH HHS / United States HHSN268201700001I / HL / NHLBI NIH HHS / United States HHSN268201700002I / HL / NHLBI NIH HHS / United States HHSN268201700003I / HL / NHLBI NIH HHS / United States HHSN268201700005I / HL / NHLBI NIH HHS / United States HHSN268201700004I / HL / NHLBI NIH HHS / United States U01 HL096812 / HL / NHLBI NIH HHS / United States U01 HL096814 / HL / NHLBI NIH HHS / United States U01 HL096899 / HL / NHLBI NIH HHS / United States U01 HL096902 / HL / NHLBI NIH HHS / United States U01 HL096917 / HL / NHLBI NIH HHS / United States R01 HL070825 / HL / NHLBI NIH HHS / United States HHSN268201800005I / HL / NHLBI NIH HHS / United States HHSN268201800007I / HL / NHLBI NIH HHS / United States HHSN268201800003I / HL / NHLBI NIH HHS / United States HHSN268201800006I / HL / NHLBI NIH HHS / United States HHSN268201800004I / HL / NHLBI NIH HHS / United States R01 AG063887 / AG / NIA NIH HHS / United States HHSN268201200036C / HL / NHLBI NIH HHS / United States HHSN268200800007C / HL / NHLBI NIH HHS / United States HHSN268201800001C / HL / NHLBI NIH HHS / United States N01HC55222 / HL / NHLBI NIH HHS / United States N01HC85079 / HL / NHLBI NIH HHS / United States N01 HC085080 / HC / NHLBI NIH HHS / United States N01HC85081 / HL / NHLBI NIH HHS / United States N01 HC085082 / HC / NHLBI NIH HHS / United States N01HC85083 / HL / NHLBI NIH HHS / United States N01 HC085086 / HC / NHLBI NIH HHS / United States U01 HL080295 / HL / NHLBI NIH HHS / United States U01 HL130114 / HL / NHLBI NIH HHS / United States R01 AG023629 / AG / NIA NIH HHS / United States R01 AG015928 / AG / NIA NIH HHS / United States R01 AG020098 / AG / NIA NIH HHS / United States HHSN268201500001I / HL / NHLBI NIH HHS / United States R01 NS029993 / NS / NINDS NIH HHS / United States HHSN268201500003I / HL / NHLBI NIH HHS / United States N01 HC095159 / HC / NHLBI NIH HHS / United States N01 HC095160 / HC / NHLBI NIH HHS / United States N01 HC095161 / HC / NHLBI NIH HHS / United States N01 HC095162 / HC / NHLBI NIH HHS / United States N01 HC095163 / HC / NHLBI NIH HHS / United States N01 HC095164 / HC / NHLBI NIH HHS / United States N01 HC095165 / HC / NHLBI NIH HHS / United States N01 HC095166 / HC / NHLBI NIH HHS / United States N01 HC095167 / HC / NHLBI NIH HHS / United States N01 HC095168 / HC / NHLBI NIH HHS / United States N01 HC095169 / HC / NHLBI NIH HHS / United States UL1 TR000040 / TR / NCATS NIH HHS / United States UL1 TR001079 / TR / NCATS NIH HHS / United States UL1 TR001420 / TR / NCATS NIH HHS / United States |
ePub date:
21/08