TY - JOUR
T1 - Frequency of missed or delayed diagnosis in dementia is associated with neighborhood socioeconomic status
AU - Holm, Ellen
AU - Jacobsen, Katja Kemp
AU - Lony, Thea Bang de
AU - Lembeck, Maurice
AU - Pedersen, Hanne
AU - Andersson, Charlotte
AU - Johannsen, Peter
AU - Jørgensen, Terese Sara Høj
N1 - Publisher Copyright:
© 2022 The Authors. Alzheimer's & Dementia: Diagnosis, Assessment & Disease Monitoring published by Wiley Periodicals, LLC on behalf of Alzheimer's Association.
PY - 2022
Y1 - 2022
N2 - Introduction: Underdetection of dementia in areas with low socioeconomic status (SES) may interfere with findings concerning associations between SES and dementia. Methods: Using administrative registers we assessed the associations between age- and sex-adjusted dementia incidence and neighborhood socioeconomic status (nSES) in 94 Danish municipalities. Wealth was divided into income quartiles and other nSES variables were dichotomized into high versus low according to the median. Results: High population density (odds ratio [OR] 1.21, 95% confidence interval [CI] 1.18–1.24), higher proportion of inhabitants in higher income quartiles (P for trend <.0001), and high educational level (OR 1.19, 95% CI 1.15–1.22) were associated with higher incidence of dementia. High proportion of residents above 65 years was associated with lower age-adjusted dementia incidence (OR 0.86, 95% CI 0.84–0.89). Discussion: Low nSES municipalities have a lower age-adjusted incidence of dementia diagnosis. These findings corroborate prior concerns that a large number of dementia diagnoses may be missed in municipalities characterized by low SES.
AB - Introduction: Underdetection of dementia in areas with low socioeconomic status (SES) may interfere with findings concerning associations between SES and dementia. Methods: Using administrative registers we assessed the associations between age- and sex-adjusted dementia incidence and neighborhood socioeconomic status (nSES) in 94 Danish municipalities. Wealth was divided into income quartiles and other nSES variables were dichotomized into high versus low according to the median. Results: High population density (odds ratio [OR] 1.21, 95% confidence interval [CI] 1.18–1.24), higher proportion of inhabitants in higher income quartiles (P for trend <.0001), and high educational level (OR 1.19, 95% CI 1.15–1.22) were associated with higher incidence of dementia. High proportion of residents above 65 years was associated with lower age-adjusted dementia incidence (OR 0.86, 95% CI 0.84–0.89). Discussion: Low nSES municipalities have a lower age-adjusted incidence of dementia diagnosis. These findings corroborate prior concerns that a large number of dementia diagnoses may be missed in municipalities characterized by low SES.
UR - http://www.scopus.com/inward/record.url?scp=85145085989&partnerID=8YFLogxK
U2 - 10.1002/trc2.12271
DO - 10.1002/trc2.12271
M3 - Journal article
SN - 2352-8737
VL - 8
JO - Alzheimer's & Dementia: Translational Research & Clinical Interventions
JF - Alzheimer's & Dementia: Translational Research & Clinical Interventions
IS - 1
M1 - e12271
ER -