Evaluating bias with loss to follow-up in a community-based cohort: empirical investigation from the CARRS Study.

BIOSTATISTICS CARDIOVASCULAR DISEASES COHORT STUDIES EPIDEMIOLOGY LONGITUDINAL STUDIES

Journal

Journal of epidemiology and community health
ISSN: 1470-2738
Titre abrégé: J Epidemiol Community Health
Pays: England
ID NLM: 7909766

Informations de publication

Date de publication:
10 Jan 2024
Historique:
received: 06 06 2023
accepted: 28 12 2023
medline: 11 1 2024
pubmed: 11 1 2024
entrez: 10 1 2024
Statut: aheadofprint

Résumé

Retention of participants is a challenge in community-based longitudinal cohort studies. We aim to evaluate the factors associated with loss to follow-up and estimate attrition bias. Data are from an ongoing cohort study, Center for cArdiometabolic Risk Reduction in South Asia (CARRS) in India (Delhi and Chennai). Multinomial logistic regression analysis was used to identify sociodemographic factors associated with partial (at least one follow-up) or no follow-up (loss to follow-up). We also examined the impact of participant attrition on the magnitude of observed associations using relative ORs (RORs) of hypertension and diabetes (prevalent cases) with baseline sociodemographic factors. There were 12 270 CARRS cohort members enrolled in Chennai and Delhi at baseline in 2010, and subsequently six follow-ups were conducted between 2011 and 2022. The median follow-up time was 9.5 years (IQR: 9.3-9.8) and 1048 deaths occurred. Approximately 3.1% of participants had no follow-up after the baseline visit. Younger (relative risk ratio (RRR): 1.14; 1.04 to 1.24), unmarried participants (RRR: 1.75; 1.45 to 2.11) and those with low household assets (RRR: 1.63; 1.44 to 1.85) had higher odds of being lost to follow-up. The RORs of sociodemographic factors with diabetes and hypertension did not statistically differ between baseline and sixth follow-up, suggesting minimal potential for bias in inference at follow-up. In this representative cohort of urban Indians, we found low attrition and minimal bias due to the loss to follow-up. Our cohort's inconsistent participation bias shows our retention strategies like open communication, providing health profiles, etc have potential benefits.

Sections du résumé

BACKGROUND BACKGROUND
Retention of participants is a challenge in community-based longitudinal cohort studies. We aim to evaluate the factors associated with loss to follow-up and estimate attrition bias.
METHODS METHODS
Data are from an ongoing cohort study, Center for cArdiometabolic Risk Reduction in South Asia (CARRS) in India (Delhi and Chennai). Multinomial logistic regression analysis was used to identify sociodemographic factors associated with partial (at least one follow-up) or no follow-up (loss to follow-up). We also examined the impact of participant attrition on the magnitude of observed associations using relative ORs (RORs) of hypertension and diabetes (prevalent cases) with baseline sociodemographic factors.
RESULTS RESULTS
There were 12 270 CARRS cohort members enrolled in Chennai and Delhi at baseline in 2010, and subsequently six follow-ups were conducted between 2011 and 2022. The median follow-up time was 9.5 years (IQR: 9.3-9.8) and 1048 deaths occurred. Approximately 3.1% of participants had no follow-up after the baseline visit. Younger (relative risk ratio (RRR): 1.14; 1.04 to 1.24), unmarried participants (RRR: 1.75; 1.45 to 2.11) and those with low household assets (RRR: 1.63; 1.44 to 1.85) had higher odds of being lost to follow-up. The RORs of sociodemographic factors with diabetes and hypertension did not statistically differ between baseline and sixth follow-up, suggesting minimal potential for bias in inference at follow-up.
CONCLUSION CONCLUSIONS
In this representative cohort of urban Indians, we found low attrition and minimal bias due to the loss to follow-up. Our cohort's inconsistent participation bias shows our retention strategies like open communication, providing health profiles, etc have potential benefits.

Identifiants

pubmed: 38199804
pii: jech-2023-220963
doi: 10.1136/jech-2023-220963
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Informations de copyright

© Author(s) (or their employer(s)) 2024. No commercial re-use. See rights and permissions. Published by BMJ.

Déclaration de conflit d'intérêts

Competing interests: None declared.

Auteurs

Dimple Kondal (D)

Centre for Chronic Disease Control, New Delhi, India dimple@ccdcindia.org.

Ashish Awasthi (A)

Centre for Chronic Disease Control, New Delhi, India.
Centre for Chronic Conditions and Injuries, Public Health Foundation of India, New Delhi, India.

Shivani Anil Patel (SA)

Emory Global Diabetes Research Center,Woodruff Health Sciences Center, Emory University, Atlanta, Georgia, USA.

Howard H Chang (HH)

Emory Global Diabetes Research Center,Woodruff Health Sciences Center, Emory University, Atlanta, Georgia, USA.

Mohammed K Ali (MK)

Emory Global Diabetes Research Center,Woodruff Health Sciences Center, Emory University, Atlanta, Georgia, USA.
Department of Family and Preventive Medicine, School of Medicine, Emory University, Atlanta, Georgia, USA.

Mohan Deepa (M)

Epidemiology, Madras Diabetes Research Foundation, Chennai, Tamil Nadu, India.

Sailesh Mohan (S)

Centre for Chronic Disease Control, New Delhi, India.
Centre for Chronic Conditions and Injuries, Public Health Foundation of India, New Delhi, India.

Viswanathan Mohan (V)

Diabetology, Madras Diabetes Research Foundation and Dr Mohan's Diabetes Specialities Centre, Chennai, Tamil Nadu, India.

K M Venkat Narayan (KMV)

Emory Global Diabetes Research Center,Woodruff Health Sciences Center, Emory University, Atlanta, Georgia, USA.

Nikhil Tandon (N)

Centre for Chronic Conditions and Injuries, Public Health Foundation of India, New Delhi, India.
All India Institute of Medical Sciences, New Delhi, India.

Dorairaj Prabhakaran (D)

Centre for Chronic Disease Control, New Delhi, India.
Centre for Chronic Conditions and Injuries, Public Health Foundation of India, New Delhi, India.

Classifications MeSH