Identification of sport fish consumption patterns in families of recreational anglers through factor analysis.
This paper reports on the identification of sport fish consumption patterns in angler families through the factor analysis technique. New York State recreational anglers and their spouses or partners were surveyed in 1991 about their consumption of Lake Ontario and Lake Erie sport fish. Respondents were surveyed again in 1997 to report the number of sport fish consumed by their children aged 5-10 years. Parental report revealed that 60% of children had consumed at least one sport fish meal over their lifetime. Anglers', partners', and children's variables were entered into three separate factor analysis models to assess consumption patterns. Factors for anglers and partners accounted for 65 and 59% of variance in consumption scores, respectively. Factors dealing with trout and salmon consumption accounted for the most variance. Children's factors accounted for 82% of variance in consumption scores, showing separation in relation to type of fish, body of water, and age at consumption. Children's factors were then used as dependent measures of separate multiple regression runs in which parental factors were entered stepwise as predictors. Significant associations between parental and children's factors were noted, suggesting that sport fish consumption patterns in parents are predictive of similar consumption patterns in children. Results suggest that sport fish consumption advisories do not fully prevent consumption of contaminated sport fish during childhood. Therefore, risk communicators may need to modify the current strategy of informing anglers and their families about sport fish consumption recommendations.
Beehler
Gregory P
GP
Social & Preventive Medicine, University at Buffalo, Buffalo, New York 14214-3000, USA. gbeehler@buffalo.edu
Weiner
John M
JM
McCann
Susan E
SE
Vena
John E
JE
Sandberg
David E
DE
D000293:Adolescent; D000328:Adult; D000818:Animals; D002648:Child; D003625:Data Collection; D004032:Diet; D004781:Environmental Exposure; D005163:Factor Analysis, Statistical; D005260:Female; D005398:Fisheries; D005399:Fishes; D005506:Food Contamination; D006114:Great Lakes Region; D006801:Humans; D008297:Male; D011998:Recreation; D018570:Risk Assessment