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The New Jersey Population Health Cohort Study: Survey Design

Year: 2023
Type: article
Study design: Study Protocol
Abstract: The New Jersey Population Health Cohort Study (NJHealth) is the largest study to date to explore factors that influence health and well-being in the state. Led by the Rutgers Institute for Health, Health Care Policy and Aging Research, the study seeks to improve our understanding of how life events and stress affect health and resilience, and identify health disparities encountered by historically disadvantaged groups, multigenerational families, and immigrant groups. The study was designed to enroll and follow longitudinally up to 10,000 participants from across New Jersey, with an emphasis on historically disadvantaged groups, multi-generational families, and immigrant groups, including: South Asian Indian, Chinese, Dominican, Filipino, Korean, Mexican, Nigerian, Afro-Caribbean and/or refugees/asylees. In this manuscript, attention is given to the study's multi-stage probability sample design, the use of address-based sampling (ABS) and the model-based oversampling strategies utilized to help to increase the yields and precision of survey estimates of recent immigrant populations in the state and of multigenerational households. To help ensure target survey response rates and sample targets are achieved, the sample design is further segmented into three distinct and representative subsamples, surveyed over three distinct data collection operational periods to help best utilize the available field staff in an efficient and effective manner and permitting fast-track study estimates prior to the conclusion of the survey. The estimation and weighting strategies implemented to correct for disproportional sampling, survey nonresponse and poststratification will also be summarized. In addition, planned study investigations are presented that examine ways in which the stress and resilience experiences of the study participants, including factors related to the COVID-19 pandemic, impact their health and well-being.
Language: English
Open Access status: green
OpenAlex ID: W4386622645
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