Identifying non-communicable disease multimorbidity patterns and associated factors: a latent class analysis approach.

ABSTRACT:

Objective

In the absence of adequate nationally-representative empirical evidence on multimorbidity, the existing healthcare delivery system is not adequately oriented to cater to the growing needs of the older adult population. Therefore, the present study identifies frequently occurring multimorbidity patterns among older adults in India. Further, the study examines the linkages between the identified patterns and socioeconomic, demographic, lifestyle and anthropometric correlates.

Design

The present findings rest on a large nationally-representative sample from a cross-sectional study.

Setting and participants

The study used data on 58 975 older adults (45 years and older) from the Longitudinal Ageing Study in India, 2017-2018.

Primary and secondary outcome meas

SUBMITTER: Puri P 

PROVIDER: S-EPMC9277367 | biostudies-literature | 2022 Jul

REPOSITORIES: biostudies-literature