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Petersen GL, Jørgensen TSH, Mathisen J, Osler M, Mortensen EL, Molbo D, Hougaard CØ, Lange T, Lund R. Inverse probability weighting for self-selection bias correction in the investigation of social inequality in mortality. Int J Epidemiol 2024; 53:dyae097. [PMID: 38996447 DOI: 10.1093/ije/dyae097] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/11/2023] [Accepted: 07/04/2024] [Indexed: 07/14/2024] Open
Abstract
BACKGROUND Empirical evaluation of inverse probability weighting (IPW) for self-selection bias correction is inaccessible without the full source population. We aimed to: (i) investigate how self-selection biases frequency and association measures and (ii) assess self-selection bias correction using IPW in a cohort with register linkage. METHODS The source population included 17 936 individuals invited to the Copenhagen Aging and Midlife Biobank during 2009-11 (ages 49-63 years). Participants counted 7185 (40.1%). Register data were obtained for every invited person from 7 years before invitation to the end of 2020. The association between education and mortality was estimated using Cox regression models among participants, IPW participants and the source population. RESULTS Participants had higher socioeconomic position and fewer hospital contacts before baseline than the source population. Frequency measures of participants approached those of the source population after IPW. Compared with primary/lower secondary education, upper secondary, short tertiary, bachelor and master/doctoral were associated with reduced risk of death among participants (adjusted hazard ratio [95% CI]: 0.60 [0.46; 0.77], 0.68 [0.42; 1.11], 0.37 [0.25; 0.54], 0.28 [0.18; 0.46], respectively). IPW changed the estimates marginally (0.59 [0.45; 0.77], 0.57 [0.34; 0.93], 0.34 [0.23; 0.50], 0.24 [0.15; 0.39]) but not only towards those of the source population (0.57 [0.51; 0.64], 0.43 [0.32; 0.60], 0.38 [0.32; 0.47], 0.22 [0.16; 0.29]). CONCLUSIONS Frequency measures of study participants may not reflect the source population in the presence of self-selection, but the impact on association measures can be limited. IPW may be useful for (self-)selection bias correction, but the returned results can still reflect residual or other biases and random errors.
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Affiliation(s)
- Gitte Lindved Petersen
- Section of Social Medicine, Department of Public Health, University of Copenhagen, Copenhagen, Denmark
- Department of Translational Type 1 Diabetes Research, Steno Diabetes Center Copenhagen, Herlev, Denmark
- Section of Epidemiology, Department of Public Health, University of Copenhagen, Copenhagen, Denmark
| | - Terese Sara Høj Jørgensen
- Section of Social Medicine, Department of Public Health, University of Copenhagen, Copenhagen, Denmark
| | - Jimmi Mathisen
- Section of Epidemiology, Department of Public Health, University of Copenhagen, Copenhagen, Denmark
| | - Merete Osler
- Section of Epidemiology, Department of Public Health, University of Copenhagen, Copenhagen, Denmark
- Center for Clinical Research and Prevention, Bispebjerg & Frederiksberg Hospitals, Copenhagen, Denmark
| | - Erik Lykke Mortensen
- Center for Healthy Aging, University of Copenhagen, Copenhagen, Denmark
- Unit of Medical Psychology, Section of Environmental Health, Department of Public Health, University of Copenhagen, Copenhagen, Denmark
| | - Drude Molbo
- Section of Social Medicine, Department of Public Health, University of Copenhagen, Copenhagen, Denmark
| | - Charlotte Ørsted Hougaard
- Section of Social Medicine, Department of Public Health, University of Copenhagen, Copenhagen, Denmark
| | - Theis Lange
- Section of Biostatistics, Department of Public Health, University of Copenhagen, Copenhagen, Denmark
| | - Rikke Lund
- Section of Social Medicine, Department of Public Health, University of Copenhagen, Copenhagen, Denmark
- Center for Healthy Aging, University of Copenhagen, Copenhagen, Denmark
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Osler M, Rozing MP, Wium-Andersen IK, Wium-Andersen MK, Dantoft TM, Fink P, Jørgensen MB, Jørgensen TSH. Use of register- and survey-based measures of anxiety in a population-based Danish cohort. Acta Psychiatr Scand 2021; 144:501-509. [PMID: 34139021 DOI: 10.1111/acps.13339] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/26/2021] [Accepted: 06/15/2021] [Indexed: 12/01/2022]
Abstract
OBJECTIVE We explored the comparability of anxiety measures from register- and survey-based data including analyses of prevalence and associations with selected psychiatric and somatic diseases. METHODS We measured anxiety using Danish registers (hospital diagnosis and anxiolytic drug prescriptions), self-reports, symptom checklist (SCL) scores, and a clinical interview in 7493 adults with mean age 52 (SD 13.3) years who participated in a health survey between 2012 and 2015. We estimated the prevalence of anxiety, agreement between different measures and performed quantitative bias analysis. RESULTS The lifetime prevalence of hospital diagnosed anxiety, anxiolytic drug prescriptions, and self-reported anxiety were 4.4%, 6.2%, and 5.1%, respectively, after adjusting for selective participation. The agreement between the different anxiety measures was low. Thus, 25% with an anxiety diagnosis and 20% with anxiolytic drug prescriptions also had a high SCL score. Anxiolytic drugs were the only measure significantly associated with higher odds of heart disease. Hospital diagnosis and self-reported anxiety were associated with depression with odds ratio (OR) above 15, whereas anxiolytic drug prescriptions were less strongly associated (OR = 2.2(95% confidence interval: 1.26-3.91)). The risk estimates attenuated considerably when correcting for measurement error, whereas the ORs became slightly higher when the selective participation in the survey was accounted for. CONCLUSION Anxiety diagnosed in hospitals and self-reported anxiety showed low level of agreement but provide comparable results regarding frequency measures and associations with disease outcomes.
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Affiliation(s)
- Merete Osler
- Center for Clinical Research and Prevention, Bispebjerg and Frederiksberg Hospitals, Frederiksberg, Copenhagen, Denmark.,Section of Epidemiology, Department of Public Health, University of Copenhagen, Copenhagen, Denmark
| | - Maarten Pieter Rozing
- The Research Unit for General Practice and Section of General Practice, Department of Public Health, University of Copenhagen, Copenhagen, Denmark.,Psychiatric Center Copenhagen, Frederiksberg, Copenhagen, Denmark
| | - Ida Kim Wium-Andersen
- Center for Clinical Research and Prevention, Bispebjerg and Frederiksberg Hospitals, Frederiksberg, Copenhagen, Denmark.,Psychiatric Center Copenhagen, Frederiksberg, Copenhagen, Denmark
| | - Marie Kim Wium-Andersen
- Center for Clinical Research and Prevention, Bispebjerg and Frederiksberg Hospitals, Frederiksberg, Copenhagen, Denmark
| | - Thomas Meinertz Dantoft
- Center for Clinical Research and Prevention, Bispebjerg and Frederiksberg Hospitals, Frederiksberg, Copenhagen, Denmark
| | - Per Fink
- The Research Clinic for Functional Disorders and Psychosomatics, Aarhus University Hospital, Aarhus, Denmark
| | - Martin Balslev Jørgensen
- Psychiatric Center Copenhagen, Rigshospitalet, Copenhagen, Denmark.,Institute of Clinical Medicine, University of Copenhagen, Copenhagen, Denmark
| | - Terese Sara Høj Jørgensen
- Center for Clinical Research and Prevention, Bispebjerg and Frederiksberg Hospitals, Frederiksberg, Copenhagen, Denmark.,Section of Social Medicine, Department of Public Health, University of Copenhagen, Copenhagen, Denmark
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Bergström G, Persson M, Adiels M, Björnson E, Bonander C, Ahlström H, Alfredsson J, Angerås O, Berglund G, Blomberg A, Brandberg J, Börjesson M, Cederlund K, de Faire U, Duvernoy O, Ekblom Ö, Engström G, Engvall JE, Fagman E, Eriksson M, Erlinge D, Fagerberg B, Flinck A, Gonçalves I, Hagström E, Hjelmgren O, Lind L, Lindberg E, Lindqvist P, Ljungberg J, Magnusson M, Mannila M, Markstad H, Mohammad MA, Nystrom FH, Ostenfeld E, Persson A, Rosengren A, Sandström A, Själander A, Sköld MC, Sundström J, Swahn E, Söderberg S, Torén K, Östgren CJ, Jernberg T. Prevalence of Subclinical Coronary Artery Atherosclerosis in the General Population. Circulation 2021; 144:916-929. [PMID: 34543072 PMCID: PMC8448414 DOI: 10.1161/circulationaha.121.055340] [Citation(s) in RCA: 162] [Impact Index Per Article: 54.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Supplemental Digital Content is available in the text. Background: Early detection of coronary atherosclerosis using coronary computed tomography angiography (CCTA), in addition to coronary artery calcification (CAC) scoring, may help inform prevention strategies. We used CCTA to determine the prevalence, severity, and characteristics of coronary atherosclerosis and its association with CAC scores in a general population. Methods: We recruited 30 154 randomly invited individuals age 50 to 64 years to SCAPIS (the Swedish Cardiopulmonary Bioimage Study). The study includes individuals without known coronary heart disease (ie, no previous myocardial infarctions or cardiac procedures) and with high-quality results from CCTA and CAC imaging performed using dedicated dual-source CT scanners. Noncontrast images were scored for CAC. CCTA images were visually read and scored for coronary atherosclerosis per segment (defined as no atherosclerosis, 1% to 49% stenosis, or ≥50% stenosis). External validity of prevalence estimates was evaluated using inverse probability for participation weighting and Swedish register data. Results: In total, 25 182 individuals without known coronary heart disease were included (50.6% women). Any CCTA-detected atherosclerosis was found in 42.1%; any significant stenosis (≥50%) in 5.2%; left main, proximal left anterior descending artery, or 3-vessel disease in 1.9%; and any noncalcified plaques in 8.3% of this population. Onset of atherosclerosis was delayed on average by 10 years in women. Atherosclerosis was more prevalent in older individuals and predominantly found in the proximal left anterior descending artery. Prevalence of CCTA-detected atherosclerosis increased with increasing CAC scores. Among those with a CAC score >400, all had atherosclerosis and 45.7% had significant stenosis. In those with 0 CAC, 5.5% had atherosclerosis and 0.4% had significant stenosis. In participants with 0 CAC and intermediate 10-year risk of atherosclerotic cardiovascular disease according to the pooled cohort equation, 9.2% had CCTA-verified atherosclerosis. Prevalence estimates had excellent external validity and changed marginally when adjusted to the age-matched Swedish background population. Conclusions: Using CCTA in a large, random sample of the general population without established disease, we showed that silent coronary atherosclerosis is common in this population. High CAC scores convey a significant probability of substantial stenosis, and 0 CAC does not exclude atherosclerosis, particularly in those at higher baseline risk.
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Affiliation(s)
- Göran Bergström
- Department of Molecular and Clinical Medicine (G. Bergström, E.B., O.A., B.F., O.H., A.R.), University of Gothenburg, Sweden.,Departments of Clinical Physiology (G. Bergström, O.H.), Region Västra Götaland, Gothenburg, Sweden
| | - Margaretha Persson
- Department of Clinical Sciences (M.P., G. Berglund, G.E., M. Magnusson), Lund University, Malmö, Sweden.,Departments of Internal Medicine (M.P.), Skåne University Hospital, Malmö, Sweden
| | - Martin Adiels
- Sahlgrenska Academy, and School of Public Health and Community Medicine, Institute of Medicine (M.A., C.B.), University of Gothenburg, Sweden
| | - Elias Björnson
- Department of Molecular and Clinical Medicine (G. Bergström, E.B., O.A., B.F., O.H., A.R.), University of Gothenburg, Sweden
| | - Carl Bonander
- Sahlgrenska Academy, and School of Public Health and Community Medicine, Institute of Medicine (M.A., C.B.), University of Gothenburg, Sweden
| | - Håkan Ahlström
- Section of Radiology, Department of Surgical Sciences (H.A., O.D.), Uppsala University, Sweden
| | - Joakim Alfredsson
- Departments of Cardiology (J.A., E.S.), Linköping University, Sweden.,Health, Medicine and Caring Sciences (J.A., E.S., J.E.E., F.H.N., C.J.Ö., A.P.), Linköping University, Sweden
| | - Oskar Angerås
- Department of Molecular and Clinical Medicine (G. Bergström, E.B., O.A., B.F., O.H., A.R.), University of Gothenburg, Sweden.,Cardiology (O.A.), Region Västra Götaland, Gothenburg, Sweden
| | - Göran Berglund
- Department of Clinical Sciences (M.P., G. Berglund, G.E., M. Magnusson), Lund University, Malmö, Sweden
| | - Anders Blomberg
- Department of Public Health and Clinical Medicine, Medicine and Heart Centre (A.B., J.L., A. Sandström, A. Själander, S.S.), Umeå University, Sweden
| | - John Brandberg
- Department of Radiology, Institute of Clinical Sciences (J.B., E.F., A.F.), University of Gothenburg, Sweden.,Radiology (J.B., E.F., A.F.), Region Västra Götaland, Gothenburg, Sweden
| | - Mats Börjesson
- Institute of Medicine (M.B.), University of Gothenburg, Sweden.,Center for Health and Performance (M.B.), University of Gothenburg, Sweden.,Sahlgrenska University Hospital (M.B., B.F., A.R., K.T.), Region Västra Götaland, Gothenburg, Sweden
| | - Kerstin Cederlund
- Department of Clinical Science, Intervention and Technology (K.C.), Karolinska Institutet, Stockholm, Sweden
| | - Ulf de Faire
- Unit of Cardiovascular and Nutritional Epidemiology, Institute of Environmental Medicine (U.d.F.), Karolinska Institutet, Stockholm, Sweden
| | - Olov Duvernoy
- Section of Radiology, Department of Surgical Sciences (H.A., O.D.), Uppsala University, Sweden
| | - Örjan Ekblom
- Department of Physical Activity and Health, The Swedish School of Sport and Health Sciences (GIH), Stockholm, Sweden (Ö.E.)
| | - Gunnar Engström
- Department of Clinical Sciences (M.P., G. Berglund, G.E., M. Magnusson), Lund University, Malmö, Sweden
| | - Jan E Engvall
- Health, Medicine and Caring Sciences (J.A., E.S., J.E.E., F.H.N., C.J.Ö., A.P.), Linköping University, Sweden.,Clinical Physiology (J.E.E.), Linköping University, Sweden.,CMIV, Centre of Medical Image Science and Visualization (J.E.E., A.P., C.J.Ö.), Linköping University, Sweden
| | - Erika Fagman
- Department of Radiology, Institute of Clinical Sciences (J.B., E.F., A.F.), University of Gothenburg, Sweden.,Radiology (J.B., E.F., A.F.), Region Västra Götaland, Gothenburg, Sweden
| | - Mats Eriksson
- Department of Endocrinology, Metabolism & Diabetes and Clinical Research Center, Karolinska University Hospital Huddinge, Stockholm, Sweden (M.E.)
| | - David Erlinge
- Department of Clinical Sciences Lund, Cardiology, Lund University and Skåne University Hospital, Lund, Sweden (D.E., M.A.M.)
| | - Björn Fagerberg
- Department of Molecular and Clinical Medicine (G. Bergström, E.B., O.A., B.F., O.H., A.R.), University of Gothenburg, Sweden.,Sahlgrenska University Hospital (M.B., B.F., A.R., K.T.), Region Västra Götaland, Gothenburg, Sweden
| | - Agneta Flinck
- Department of Radiology, Institute of Clinical Sciences (J.B., E.F., A.F.), University of Gothenburg, Sweden.,Radiology (J.B., E.F., A.F.), Region Västra Götaland, Gothenburg, Sweden
| | - Isabel Gonçalves
- Department of Clinical Sciences Malmö (I.G.), Lund University and Skåne University Hospital, Lund, Sweden
| | - Emil Hagström
- Cardiology (E.H.), Uppsala University, Sweden.,Department of Medical Sciences, and Uppsala Clinical Research Center (E.H.), Uppsala University, Sweden
| | - Ola Hjelmgren
- Department of Molecular and Clinical Medicine (G. Bergström, E.B., O.A., B.F., O.H., A.R.), University of Gothenburg, Sweden.,Departments of Clinical Physiology (G. Bergström, O.H.), Region Västra Götaland, Gothenburg, Sweden
| | - Lars Lind
- Clinical Epidemiology (L.L., J.S.), Uppsala University, Sweden
| | - Eva Lindberg
- Respiratory, Allergy and Sleep Research (E.L.), Uppsala University, Sweden
| | - Per Lindqvist
- Department of Surgical and Perioperative Sciences (P.L.), Umeå University, Sweden
| | - Johan Ljungberg
- Department of Public Health and Clinical Medicine, Medicine and Heart Centre (A.B., J.L., A. Sandström, A. Själander, S.S.), Umeå University, Sweden
| | - Martin Magnusson
- Department of Clinical Sciences (M.P., G. Berglund, G.E., M. Magnusson), Lund University, Malmö, Sweden.,Cardiology (M. Magnusson), Skåne University Hospital, Malmö, Sweden.,Wallenberg Center for Molecular Medicine, Lund University, Sweden (M. Magnusson).,North-West University, Hypertension in Africa Research Team (HART), Potchefstroom, South Africa (M. Magnusson)
| | - Maria Mannila
- Heart and Vascular Theme, Department of Cardiology, and Clinical Genetics, Karolinska University Hospital, Stockholm, Sweden (M. Mannila)
| | - Hanna Markstad
- Experimental Cardiovascular Research, Clinical Research Center, Clinical Sciences Malmö (H.M.), Lund University, Malmö, Sweden.,Center for Medical Imaging and Physiology (H.M.), Lund University and Skåne University Hospital, Lund, Sweden
| | - Moman A Mohammad
- Department of Clinical Sciences Lund, Cardiology, Lund University and Skåne University Hospital, Lund, Sweden (D.E., M.A.M.)
| | - Fredrik H Nystrom
- Health, Medicine and Caring Sciences (J.A., E.S., J.E.E., F.H.N., C.J.Ö., A.P.), Linköping University, Sweden
| | - Ellen Ostenfeld
- Department of Clinical Sciences Lund, Clinical Physiology (E.O.), Lund University and Skåne University Hospital, Lund, Sweden
| | - Anders Persson
- Health, Medicine and Caring Sciences (J.A., E.S., J.E.E., F.H.N., C.J.Ö., A.P.), Linköping University, Sweden.,Radiology (A.P.), Linköping University, Sweden.,CMIV, Centre of Medical Image Science and Visualization (J.E.E., A.P., C.J.Ö.), Linköping University, Sweden
| | - Annika Rosengren
- Department of Molecular and Clinical Medicine (G. Bergström, E.B., O.A., B.F., O.H., A.R.), University of Gothenburg, Sweden.,Sahlgrenska University Hospital (M.B., B.F., A.R., K.T.), Region Västra Götaland, Gothenburg, Sweden
| | - Anette Sandström
- Department of Public Health and Clinical Medicine, Medicine and Heart Centre (A.B., J.L., A. Sandström, A. Själander, S.S.), Umeå University, Sweden
| | - Anders Själander
- Department of Public Health and Clinical Medicine, Medicine and Heart Centre (A.B., J.L., A. Sandström, A. Själander, S.S.), Umeå University, Sweden
| | - Magnus C Sköld
- Respiratory Medicine Unit, Department of Medicine Solna and Center for Molecular Medicine (M.C.S.), Karolinska Institutet, Stockholm, Sweden.,Department of Respiratory Medicine and Allergy, Karolinska University Hospital Solna, Stockholm, Sweden (M.C.S.)
| | - Johan Sundström
- Clinical Epidemiology (L.L., J.S.), Uppsala University, Sweden.,The George Institute for Global Health, University of New South Wales, Sydney, Australia (J.S.)
| | - Eva Swahn
- Departments of Cardiology (J.A., E.S.), Linköping University, Sweden.,Health, Medicine and Caring Sciences (J.A., E.S., J.E.E., F.H.N., C.J.Ö., A.P.), Linköping University, Sweden
| | - Stefan Söderberg
- Department of Public Health and Clinical Medicine, Medicine and Heart Centre (A.B., J.L., A. Sandström, A. Själander, S.S.), Umeå University, Sweden
| | - Kjell Torén
- Occupational and Environmental Medicine/School of Public Health and Community Medicine (K.T.), University of Gothenburg, Sweden.,Sahlgrenska University Hospital (M.B., B.F., A.R., K.T.), Region Västra Götaland, Gothenburg, Sweden
| | - Carl Johan Östgren
- Health, Medicine and Caring Sciences (J.A., E.S., J.E.E., F.H.N., C.J.Ö., A.P.), Linköping University, Sweden.,CMIV, Centre of Medical Image Science and Visualization (J.E.E., A.P., C.J.Ö.), Linköping University, Sweden
| | - Tomas Jernberg
- Department of Clinical Sciences, Danderyd University Hospital (T.J.), Karolinska Institutet, Stockholm, Sweden
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