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Using a Web‐Based Diary Method to Estimate Risks and Benefits from Fish Consumption

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  • Nancy A. Connelly
  • T. Bruce Lauber
  • Jeff Niederdeppe
  • Barbara A. Knuth

Abstract

Accurate estimates of the amount and type of fish people eat are necessary to determine the health benefits and risks of consuming fish, and to assess compliance with fish consumption guidelines issued for fish affected by chemical contaminants. We developed a web‐based and mobile‐phone‐enabled diary methodology to collect detailed fish consumption information for two 16‐week periods in the summers of 2014 and 2015. We recruited study participants from two populations living in the Great Lakes region—women of childbearing age (WCBA) and urban residents who had purchased fishing licenses. In this article, we describe the methodology in detail and provide evidence related to participation rates, the representativeness of our sample over time, and both convergent validity and reliability of the data collection methods. Overall, 56% of WCBA and 50% of urban anglers provided complete data across both data collection periods. Among those who provided information at the beginning of Year 2, 97% of both audiences provided information throughout the entire 16‐week period. Those who participated throughout the two‐year period were slightly older on average (1.9–2.5 years) than other members of our original samples. We conclude that using diaries with web and smartphone technology, combined with incentives and persistent communication, has strong potential for assessing fish consumption in other areas of the country or for situations where the potential risks associated with fish consumption are substantial and the cost can be justified.

Suggested Citation

  • Nancy A. Connelly & T. Bruce Lauber & Jeff Niederdeppe & Barbara A. Knuth, 2018. "Using a Web‐Based Diary Method to Estimate Risks and Benefits from Fish Consumption," Risk Analysis, John Wiley & Sons, vol. 38(6), pages 1116-1127, June.
  • Handle: RePEc:wly:riskan:v:38:y:2018:i:6:p:1116-1127
    DOI: 10.1111/risa.12925
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    References listed on IDEAS

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    1. Lon Kissinger & Roseanne Lorenzana & Beth Mittl & Merwyn Lasrado & Samuel Iwenofu & Vanessa Olivo & Cynthia Helba & Pauline Capoeman & Ann H. Williams, 2010. "Development of a Computer‐Assisted Personal Interview Software System for Collection of Tribal Fish Consumption Data," Risk Analysis, John Wiley & Sons, vol. 30(12), pages 1833-1841, December.
    2. Jayson L. Lusk & Kathleen Brooks, 2010. "Who Participates in Household Scanning Panels?," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 93(1), pages 226-240.
    3. Friedman,Jed & Beegle,Kathleen G. & De Weerdt,Joachim & Gibson,John, 2016. "Decomposing response errors in food consumption measurement : implications for survey design from a survey experiment in Tanzania," Policy Research Working Paper Series 7646, The World Bank.
    4. Lynn, Peter & Laurie, Heather, 2008. "The use of respondent incentives on longitudinal surveys," ISER Working Paper Series 2008-42, Institute for Social and Economic Research.
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