Abstract
Purpose
An important challenge in epidemiology is to ensure the reliability of collected data. Very few studies have been conducted in farming populations. We assessed the reliability of self-reported data on lifestyle, reproductive history, health and agricultural activities and tasks from the AGRICAN cohort.
Methods
Our analysis focused on 739 individuals from the 181,842 cohort members who completed the questionnaire twice between 2005 and 2007 with a median time interval of 452 days. Consistency in the responses to questionnaire items (lifestyle, health and agricultural activities including pesticide treatments) was assessed by the percentage of exact agreement (PA), Cohen’s Kappa value (K) and the intraclass correlation coefficient (ICC).
Results
Agreement was substantial to almost perfect for education, smoking, reproductive history and most health indicators (K/ICC > 0.61). Agreement was moderate for alcohol consumption and fair for diet. Agreement was substantial for animal and crop farming activities and tasks such as pesticide use on crops and protective equipment use (PA 81–99%, K/ICC 0.61–0.96). Most tasks showed moderate to substantial agreement, except a few with low agreement. Substantial to perfect agreement was observed for the duration of tasks, based on exact years of beginning and ending.
Conclusion
Farmers’ answers appeared reliable for most occupational data, including data used to assess individual exposure to specific pesticides, and for most potential confounders.
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Data availability
No data are available. Individual data are available only for researchers who obtained a formal validation of their project by the scientific committee of AGRICAN. The AGRICAN cohort website can be visited for further details (www.agrican.fr).
References
Machlin SR, Kleinman JC, Madans JH (1989) Validity of mortality analysis based on retrospective smoking information. Stat Med 8(8):997–1009
Johnson TP, Mott JA (2001) The reliability of self-reported age of onset of tobacco, alcohol and illicit drug use. Addict Abingdon Engl 96(8):1187–1198
Kenkel D, Lillard DR, Mathios A (2003) Smoke or fog? The usefulness of retrospectively reported information about smoking. Addict Abingdon Engl 98(9):1307–1313
Brownson RC, Jackson-Thompson J, Wilkerson JC, Kiani F (1994) Reliability of information on chronic disease risk factors collected in the Missouri Behavioral Risk Factor Surveillance System. Epidemiol Camb Mass 5(5):545–549
Stein AD, Courval JM, Lederman RI, Shea S (1995) Reproducibility of responses to telephone interviews: demographic predictors of discordance in risk factor status. Am J Epidemiol 141(11):1097–105
Bowlin SJ, Morrill BD, Nafziger AN, Lewis C, Pearson TA (1996) Reliability and changes in validity of self-reported cardiovascular disease risk factors using dual response: the behavioral risk factor survey. J Clin Epidemiol 49(5):511–517
Persson PG, Norell SE (1989) Retrospective versus original information on cigarette smoking. Implications for epidemiologic studies. Am J Epidemiol 130(4):705–12
Horwitz RI, Yu EC (1985) Problems and proposals for interview data in epidemiological research. Int J Epidemiol 14(3):463–467
Kesmodel U, Olsen SF (1999) Smoking habits among pregnant Danish women: reliability of information recorded after delivery. J Epidemiol Community Health avr 53(4):239–242
Karatela S, Purdie DM, Green AC, Webb PM, Whiteman DC (2006) Repeatability of self-reported information for population-based studies of cancer. Asian Pac J Cancer Prev APJCP 7(2):303–308
Slanger T, Mutschelknauss E, Kropp S, Braendle W, Flesch-Janys D, Chang-Claude J (2007) Test-retest reliability of self-reported reproductive and lifestyle data in the context of a German case-control study on breast cancer and postmenopausal hormone therapy. Ann Epidemiol 17(12):993–998
Chor D, Faerstein E, Alves MGM, de Souza Lopes C (2003) How reproducible is self-reported information on exposure to smoking, drinking, and dietary patterns? Evidence among Brazilian adults in the Pró-Saúde Study. Sao Paulo Med J Rev Paul Med. 121(2):63–6
Huerta M, Chodick G, Balicer RD, Davidovitch N, Grotto I (2005) Reliability of self-reported smoking history and age at initial tobacco use. Prev Med 41(2):646–650
Tomeo CA, Rich-Edwards JW, Michels KB, Berkey CS, Hunter DJ, Frazier AL et al (1999) Reproducibility and validity of maternal recall of pregnancy-related events. Epidemiol Camb Mass 10(6):774–777
Lucas R, Azevedo A, Barros H (2008) Self-reported data on reproductive variables were reliable among postmenopausal women. J Clin Epidemiol 61(9):945–950
Colditz GA, Willett WC, Stampfer MJ, Sampson L, Rosner B, Hennekens CH et al (1987) The influence of age, relative weight, smoking, and alcohol intake on the reproducibility of a dietary questionnaire. Int J Epidemiol 16(3):392–398
Friesema IHM, Veenstra MY, Zwietering PJ, Knottnerus JA, Garretsen HFL, Lemmens PHHM (2004) Measurement of lifetime alcohol intake: utility of a self-administered questionnaire. Am J Epidemiol 159(8):809–17
England CY, Thompson JL, Jago R, Cooper AR, Andrews RC (2017) Development of a brief, reliable and valid diet assessment tool for impaired glucose tolerance and diabetes: the UK Diabetes and Diet Questionnaire. Public Health Nutr 20(2):191–199
Sheikh MA, Lund E, Braaten T (2016) Test-retest reliability of self-reported diabetes diagnosis in the Norwegian Women and Cancer Study: a population-based longitudinal study (n = 33,919). SAGE Open Med 4:2050312115622857
Pattaro C, Locatelli F, Sunyer J, de Marco R (2007) Using the age at onset may increase the reliability of longitudinal asthma assessment. J Clin Epidemiol 60(7):704–711
Mirabelli MC, Beavers SF, Flanders WD, Chatterjee AB (2014) Reliability in reporting asthma history and age at asthma onset. J Asthma Off J Assoc Care Asthma 51(9):956–963
Donato F, Boffetta P, Fazioli R, Gelatti U, Porru S (1998) Reliability of data on smoking habit and coffee drinking collected by personal interview in a hospital-based case-control study. Eur J Epidemiol 14(3):259–267
Blair A, Tarone R, Sandler D, Lynch CF, Rowland A, Wintersteen W et al (2002) Reliability of reporting on life-style and agricultural factors by a sample of participants in the Agricultural Health Study from Iowa. Epidemiol Camb Mass 13(1):94–99
Levêque-Morlais N, Tual S, Clin B, Adjemian A, Baldi I, Lebailly P (2015) The AGRIculture and CANcer (AGRICAN) cohort study: enrollment and causes of death for the 2005–2009 period. Int Arch Occup Environ Health 88(1):61–73
Lemarchand C, Tual S, Boulanger M, Levêque-Morlais N, Perrier S, Clin B et al (2016) Prostate cancer risk among French farmers in the AGRICAN cohort. Scand J Work Environ Health 42(2):144–152
Tual S, Busson A, Boulanger M, Renier M, Piel C, Pouchieu C et al (2019) Occupational exposure to pesticides and multiple myeloma in the AGRICAN cohort. Cancer Causes Control CCC 30(11):1243–1250
Piel C, Pouchieu C, Migault L, Béziat B, Boulanger M, Bureau M et al (2019) Increased risk of central nervous system tumours with carbamate insecticide use in the prospective cohort AGRICAN. Int J Epidemiol 48(2):512–26
Baldi I, Carles C, Blanc-Lapierre A, Fabbro-Peray P, Druet-Cabanac M, Boutet-Robinet E et al (2017) A French crop-exposure matrix for use in epidemiological studies on pesticides: PESTIMAT. J Expo Sci Environ Epidemiol 27(1):56–63
Baldi I, Filleul L, Mohammed-Brahim B, Fabrigoule C, Dartigues JF, Schwall S et al (2001) Neuropsychologic effects of long-term exposure to pesticides: results from the French Phytoner study. Environ Health Perspect 109(8):839–844
Roulland S, Lebailly P, Lecluse Y, Briand M, Pottier D, Gauduchon P (2004) Characterization of the t(14;18) BCL2-IGH translocation in farmers occupationally exposed to pesticides. Cancer Res 64(6):2264–9
Cohen J (1960) A coefficient of agreement for nominal scales. Educ Psychol Meas 20:512–526
Landis JR, Koch GG (1977) The measurement of observer agreement for categorical data. Biometrics 33(1):159–174
Sim J, Wright CC (2005) The kappa statistic in reliability studies: use, interpretation, and sample size requirements. Phys Ther 85(3):257–268
Byrt T, Bishop J, Carlin JB (1993) Bias, prevalence and kappa. J Clin Epidemiol 46(5):423–429
Fermanian J (1984) Measuring agreement between 2 observers: a quantitative case. Rev Epidemiol Santé Publique 32:408–413
Fermanian J (1984) Measurement of agreement between 2 judges: qualitative cases. Rev Epidemiol Santé Publique 32(2):140–147
Bland JM, Altman DG (1986) Statistical methods for assessing agreement between two methods of clinical measurement. Lancet Lond Engl 1(8476):307–310
van der Gulden JW, Jansen IW, Verbeek AL, Kolk JJ (1993) Repeatability of self-reported data on occupational exposure to particular compounds. Int J Epidemiol 22(2):284–287
Hobson AJ, Sterling DA, Emo B, Evanoff BA, Sterling CS, Good L et al (2009) Validity and reliability of an occupational exposure questionnaire for parkinsonism in welders. J Occup Environ Hyg 6(6):324–331
Acknowledgements
We thank S Deant and V Tribouillard for processing data from the enrollment questionnaire and C Gaultier, AS Lacauve, C Meyer and E Niez for technical assistance. We also thank Ray Cooke for copyediting the manuscript.
Funding
This work was supported by the Ligue Contre le Cancer (Nationale and Comités du Calvados, de l’Orne, de la Manche, du Maine et Loire et de Paris), the Mutualité Sociale Agricole (caisse centrale et caisses des Alpes du Nord, de l’Alsace, de Bourgogne, des Côtes Normandes, de Franche Comté, de Gironde, de Loire Atlantique–Vendée, de Midi Pyrénées Nord, de la Picardie), the Fondation de France (Mr Edouard Serres), the Agence Nationale de Sécurité Sanitaire de l’Alimentation, de l’Environnement et du Travail (ANSES) (within the call for projects 2005, 2006 and 2010 of the program «Environnement Santé Travail» of ANSES, with funding from l’Office national de l’eau et des milieux aquatiques in support of the Ecophyto 2018 plan), the Institut National du Cancer [Grant Number InCA 8422], the Association pour la Recherche sur le Cancer [Grant Number ARC 02–010], the Conseil Régional de Basse-Normandie, the Institut National de Médecine Agricole, the Centre François Baclesse, Ministère de l’Enseignement Supérieur et de la Recherche.
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ST had full access to all the data in the study, did the statistical analyses and wrote the manuscript. PL and IB designed the study and collected the data. All authors contributed to interpretation of the results, intellectual content, commented the draft of the manuscript, and approved the final submitted version.
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The study protocol was reviewed and approved by the Advisory Committee on Information Processing in Material Research in the field of Health (Comité Consultatif sur le Traitement de l’Information en matière de Recherche dans le domaine de la Santé, Number 01.148) and the French data protection authority (Commission Nationale Informatique et Libertés, Number 05.1292).
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Tual, S., Lemarchand, C., Giovannini, J. et al. Reliability of baseline self-reported information in the AGRICAN cohort. Cancer Causes Control 33, 331–342 (2022). https://doi.org/10.1007/s10552-021-01516-z
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DOI: https://doi.org/10.1007/s10552-021-01516-z