Estimation of Salt Intake Using List-Assisted RDD Sample

• Activity Number: 89
• Type: Roundtables
• Date/Time: Monday, July 30, 2012 : 7:00 AM to 8:15 AM
• Sponsor: Section on Survey Research Methods
• Author(s): Sohyung Park*+ and Sun Woong Kim and Moo-Yong Rhee and Sung-Joon Shin
• Companies: Dongguk University and Dongguk University and Dongguk University Hospital and Dongguk University Hospital
• Keywords: 24-hour urinary sodium excretion ; RDD frame ; within-household selection ; weighting adjustment

Abstract

The studies on estimation of salt intake have been conducted in many countries. The 24-hour recall method has been popular for many years, although the method depends on the memory of the respondents. Alternatively, the surveys of 24-hour urinary sodium excretion have been used in very few countries. In this paper we present the methodology for estimating salt intake using 24-hour urinary, successfully applied in Korea. First of all, it is important to select a representative sample in conducting the study on salt intake. We used 'List-Assisted Random Digit Dialing (LARDD)' sample. When the phone number selected from the LARDD frame was household phone number, only one person aged 20 between 65 was selected within eligible persons who use the phone number. We asked whether the respondent would like to participate in our study. We also added some questions required to adjust weights due to unequal selection probability. The details of how to select sample, how to collect data, and how to estimate salt intake will be described.