Background: Longitudinal studies are essential to understand the ageing process, and risk factors and consequences for disorders, but attrition may cause selection bias and impact generalizability. We describe the 1930 cohort of the Gothenburg H70 Birth Cohort Studies, followed from age 70 to 88, and compare baseline characteristics for those who continue participation with those who die, refuse, and drop out for any reason during follow-up.
Methods: A population-based sample born 1930 was examined with comprehensive assessments at age 70 ( = 524). The sample was followed up and extended to increase sample size at age 75 ( = 767). Subsequent follow-ups were conducted at ages 79, 85, and 88. Logistic regression was used to analyze baseline characteristics in relation to participation status at follow-up.
Results: Refusal to participate in subsequent examinations was related to lower educational level, higher blood pressure, and lower scores on cognitive tests. Both attrition due to death and total attrition were associated with male sex, lower educational level, smoking, ADL dependency, several diseases, poorer lung function, slower gait speed, lower scores on cognitive tests, depressive symptoms, and a larger number of medications. Attrition due to death was also associated with not having a partner.
Conclusions: It is important to consider different types of attrition when interpreting results from longitudinal studies, as representativeness and results may be differently affected by different types of attrition. Besides reducing barriers to participation, methods such as imputation and weighted analyses can be used to handle selection bias.
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http://dx.doi.org/10.3389/fepid.2023.1151519 | DOI Listing |
Alzheimers Dement
December 2024
Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, Sahlgrenska Academy, Centre for Ageing and Health (AgeCap) at the University of Gothenburg, Gothenburg, Sweden., Gothenburg, Vastra Gotaland, Sweden.
Background: C-reactive protein (CRP) is an inflammatory biomarker that has been associated with an increased risk of future cognitive decline, alongside other biomarkers such as β-amyloid (Aβ). We sought to explore the relationship between CRP levels and the amyloid/tau/neurodegeneration (A/T/N) groups in elderly individuals with and without APOE-ε4.
Method: From 1203 participants of the Gothenburg H70 Birth Cohort study, born in 1944, plasma CRP levels were collected among 300 participants (159 men & 141 women) who did not have dementia.
Clin Proteomics
December 2024
Division of Affinity Proteomics, Department of Protein Science, KTH Royal Institute of Technology, SciLifeLab, Stockholm, Sweden.
Background: The effect of varying brain ventricular volume on the cerebrospinal fluid (CSF) proteome has been discussed as possible confounding factors in comparative protein level analyses. However, the relationship between CSF volume and protein levels remains largely unexplored. Moreover, the few existing studies provide conflicting findings, indicating the need for further research.
View Article and Find Full Text PDFNeurology
January 2025
From the Department of Physical Activity and Health (R.W.), the Swedish School of Sport and Health Sciences, GIH, Stockholm; Division of Clinical Geriatrics (R.W., A.M., O.L., S.S., M.S., M.K., E.W.), Center for Alzheimer Research, Department of Neurobiology, Care Sciences and Society, Karolinska Institute, Solna, Sweden; Wisconsin Alzheimer's Disease Research Center (R.W.), University of Wisconsin School of Medicine and Public Health, Madison; Centre for Ageing and Health (AgeCap) (J.S., O.L., T.R.S., S.K., A.Z., I.S.), Neuropsychiatric Epidemiology Unit, Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, Sahlgrenska Academy at the University of Gothenburg, Mölndal; Department of Psychology (J.S.), University of Gothenburg, Göteborg; Neuro Division (J.B.P.), Department of Clinical Neurosciences, Karolinska Institute, Stockholm; FINGERS Brain Health Institute (M.K.), Stockholm; Medical Unit Aging (M.K.), Karolinska University Hospital, Solna, Sweden; Ageing Epidemiology (AGE) Research Unit (M.K.), School of Public Health, Imperial College London, Medical School Building, St Mary's Hospital, United Kingdom; Institute of Public Health and Clinical Nutrition and Institute of Clinical Medicine (M.K.), Neurology, University of Eastern Finland, Kuopio; Aging Research Center (T.R.S.), Department of Neurobiology, Care Sciences and Society, Karolinska Institutet and Stockholm University; and Department of Psychiatry Cognition and Old Age Psychiatry (I.S.), Sahlgrenska University Hospital, Region Västra Götaland, Mölndal, Sweden.
Background And Objectives: Individuals aged 70 and older frequently experience an increased risk of deficits in both physical and cognitive functions. However, the natural progression and interrelationship of these deficits, as well as their neurologic correlates, remain unclear. We aimed to classify the data-driven physical-cognitive phenotypes and then investigate their associations with neuroimaging markers.
View Article and Find Full Text PDFBrain Commun
August 2024
Division of Clinical Geriatrics, Center for Alzheimer Research, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet, 171 77 Stockholm, Sweden.
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