Purpose: Missing data is a key methodological consideration in longitudinal studies of aging. We described missing data challenges and potential methodological solutions using a case example describing five-year frailty state transitions in a cohort of older adults.
Methods: We used longitudinal data from the National Health and Aging Trends Study, a nationally-representative cohort of Medicare beneficiaries. We assessed the five components of the Fried frailty phenotype and classified frailty based on their number of components (robust: 0, prefrail: 1-2, frail: 3-5). One-, two-, and five-year frailty state transitions were defined as movements between frailty states or death. Missing frailty components were imputed using hot deck imputation. Inverse probability weights were used to account for potentially informative loss-to-follow-up. We conducted scenario analyses to test a range of assumptions related to missing data.
Results: Missing data were common for frailty components measured using physical assessments (walking speed, grip strength). At five years, 36% of individuals were lost-to-follow-up, differentially with respect to baseline frailty status. Assumptions for missing data mechanisms impacted inference regarding individuals improving or worsening in frailty.
Conclusions: Missing data and loss-to-follow-up are common in longitudinal studies of aging. Robust epidemiologic methods can improve the rigor and interpretability of aging-related research.
Download full-text PDF |
Source |
|---|---|
| http://www.ncbi.nlm.nih.gov/pmc/articles/PMC10249888 | PMC |
| http://journals.plos.org/plosone/article?id=10.1371/journal.pone.0286984 | PLOS |
Publication Analysis
Top Keywords
Similar Publications
Association of systemic immune-inflammation index (SII) with risk of psoriasis: a cross-sectional analysis of National Health and Nutrition Examination Survey 2011-2014.
Eur J Med Res
January 2025
The Department of Pediatrics, The Third Xiangya Hospital of Central South University, Changsha, 410013, Hunan, China.
Background: The systemic immune-inflammation index (SII) is an emerging marker of inflammation, and the onset of psoriasis is associated with inflammation. The aim of our study was to investigate the potential impact of SII on the incidence rate of adult psoriasis.
Methods: We conducted a cross-sectional study based on the National Health and Nutrition Examination Survey (NHANES) 2011-2014 data sets.
Methodological considerations for estimating indirect costs in children and adolescents with chronic conditions: a scoping review.
BMC Pediatr
January 2025
Chair for Institutional Economics and Health Policy, Department of Philosophy, Politics and Economics, Witten/Herdecke University, Witten, Germany.
Background: In children and adolescents, the prevalence of chronic diseases, e.g., obesity, asthma, and attention-deficit/hyperactivity disorder (ADHD), has increased in the last decades.
View Article and Find Full Text PDFExplore the factors related to the death of offspring under age five and appraise the hazard of child mortality using machine learning techniques in Bangladesh.
BMC Public Health
January 2025
Department of Statistics and Data Science, Jahangirnagar University, Dhaka, 1342, Bangladesh.
Background: Child mortality is a reliable and significant indicator of a nation's health. Although the child mortality rate in Bangladesh is declining over time, it still needs to drop even more in order to meet the Sustainable Development Goals (SDGs). Machine Learning models are one of the best tools for making more accurate and efficient forecasts and gaining in-depth knowledge.
View Article and Find Full Text PDFAssessing the feasibility of measuring residents' quality of life in English care homes and the construct validity and internal consistency of measures completed by staff proxy: a cross-sectional study.
BMJ Open
January 2025
Centre for Research in Public Health and Community Care, University of Hertfordshire, Hatfield, UK
Objectives: To assess the feasibility of capturing older care home residents' quality of life (QoL) in digital social care records and the construct validity (hypothesis testing) and internal consistency (Cronbach's alpha) of four QoL measures.
Design: Cross-sectional data collected in wave 1 of the DACHA (eveloping resources nd minimum dataset for are omes' doption) study, a mixed-methods pilot of a prototype minimum dataset (MDS).
Setting: Care homes (with or without nursing) registered to provide care for older adults (>65 years) and/or those living with dementia.
Improved Risk Adjustment for Comorbid Diagnoses in Administrative Claims Analyses of Orthopaedic Surgery.
J Bone Joint Surg Am
January 2025
Department of Orthopaedic Surgery, Stanford University, Redwood City, California.
Background: The accurate inclusion of patient comorbidities ensures appropriate risk adjustment in clinical or health services research and payment models. Orthopaedic studies often use only the comorbidities included at the index inpatient admission when quantifying patient risk. The goal of this study was to assess improvements in capture rates and in model fit and discriminatory power when using additional data and best practices for comorbidity capture.
View Article and Find Full Text PDFWant AI Summaries of new PubMed Abstracts delivered to your In-box?
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!