JSM 2011 Online Program

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Abstract Details

Activity Number: 427
Type: Contributed
Date/Time: Tuesday, August 2, 2011 : 2:00 PM to 3:50 PM
Sponsor: Section on Survey Research Methods
Abstract - #303155
Title: Day-of-Week, Time-of-Year, and Meteorological Effects on Items on a Local Health Survey
Author(s): Kevin J. Konty*+
Companies: New York City Department of Health and Mental Hygiene
Address: 125 worth st, new york, NY, 11215, usa
Keywords: survey quality ; validity ; health surveys ; mental health ; physical activity and nutrition ; public use microdata
Abstract:

The New York City (NYC) Community Health Survey (CHS) is a telephone survey of adults conducted annually since 2002 by NYC's Department of Health and Mental Hygiene. The CHS collects approximately 9,500 interviews a year describing a wide variety of health outcomes and behaviors and is extensively used in public health planning and evaluation. A recent study of the items of the Kessler-6 non-specific psychological distress scale observed a distinct day-of-week pattern. Because the CHS is collected fairly evenly across days there is minimal impact on estimated trends. However, both variance calculations and measures of association with other variables may be affected if they also exhibit day-of-week patterns. To investigate this, we quantified day-of-week, time-of-year, and meteorological effects on various survey items including health status, physical activity, fruit and vegetable consumption, and drinking and sex behaviors. Though effects tend to be mild, they may alter estimates especially for smaller subpopulations suggesting a need to explicitly address the issue and this may have important ramifications for public-use microdata releases that do not include such information.


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