IDEAS home Printed from https://ideas.repec.org/a/gam/jijerp/v12y2015i2p1466-1486d45153.html
   My bibliography  Save this article

Determinants of Exposure to Fragranced Product Chemical Mixtures in a Sample of Twins

Author

Listed:
  • Matthew O. Gribble

    (Department of Preventive Medicine, University of Southern California Keck School of Medicine, Los Angeles, CA 90089, USA)

  • Karen Bandeen-Roche

    (Department of Biostatistics, Johns Hopkins University Bloomberg School of Public Health, Baltimore, MD 21205, USA)

  • Mary A. Fox

    (Department of Health Policy and Management, Johns Hopkins University Bloomberg School of Public Health, Baltimore, MD 21205, USA)

Abstract

Fragranced product chemical mixtures may be relevant for environmental health, but little is known about exposure. We analyzed results from an olfactory challenge with the synthetic musk fragrance 1,3,4,6,7,8-hexahydro-4,6,6,7,8,8-hexamethyl-cyclopento-γ-2-benzopyran (HHCB), and a questionnaire about attitudes toward chemical safety and use of fragranced products, in a sample of 140 white and 17 black twin pairs attending a festival in Ohio. Data for each product were analyzed using robust ordered logistic regressions with random intercepts for “twin pair” and “sharing address with twin”, and fixed effects for sex, age, education, and “ever being bothered by fragrances”. Due to the small number of black participants, models were restricted to white participants except when examining racial differences. Overall patterns of association were summarized across product-types through random-effects meta-analysis. Principal components analysis was used to summarize clustering of product use. The dominant axis of variability in fragranced product use was “more vs. less”, followed by a distinction between household cleaning products and personal care products. Overall, males used fragranced products less frequently than females (adjusted proportionate odds ratio 0.55, 95% confidence interval 0.33, 0.93). This disparity was driven by personal care products (0.42, 95% CI: 0.19, 0.96), rather than household cleaning products (0.79, 95% CI: 0.49, 1.25) and was particularly evident for body lotion (0.12, 95% CI: 0.05, 0.27). Overall usage differed by age (0.64, 95% CI: 0.43, 0.95) but only hand soap and shampoo products differed significantly. “Ever being bothered by fragrance” had no overall association (0.92, 95% CI: 0.65, 1.30) but was associated with laundry detergent use (0.46, 95% CI: 0.23, 0.93). Similarly, black vs. white differences on average were not significant (1.34, 95% CI: 0.55, 3.28) but there were apparent differences in use of shampoo (0.01, 95% CI: 0.00, 0.69), body lotion (4.67, 95% CI: 1.18, 18.47), and perfume (6.22, 95% CI:1.08, 35.89). There was no overall association with thinking about product risks (0.90, 95% CI: 0.79, 1.02), nor with inability to smell HHCB (0.84, 95% CI: 0.63, 1.12). Exposure to fragranced products may differ demographically. The relevance for health disparities should be studied.

Suggested Citation

  • Matthew O. Gribble & Karen Bandeen-Roche & Mary A. Fox, 2015. "Determinants of Exposure to Fragranced Product Chemical Mixtures in a Sample of Twins," IJERPH, MDPI, vol. 12(2), pages 1-21, January.
    • Handle: RePEc:gam:jijerp:v:12:y:2015:i:2:p:1466-1486:d:45153
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1660-4601/12/2/1466/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1660-4601/12/2/1466/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. V. Aslihan Nasir & Fahri Karakaya, 2014. "Underlying Motivations of Organic Food Purchase Intentions," Agribusiness, John Wiley & Sons, Ltd., vol. 30(3), pages 290-308, June.
    2. Maria Dickson‐Spillmann & Michael Siegrist & Carmen Keller & Matthias Wormuth, 2009. "Phthalate Exposure Through Food and Consumers’ Risk Perception of Chemicals in Food," Risk Analysis, John Wiley & Sons, vol. 29(8), pages 1170-1181, August.
    3. Sophia Rabe-Hesketh & Anders Skrondal & Andrew Pickles, 2002. "Reliable estimation of generalized linear mixed models using adaptive quadrature," Stata Journal, StataCorp LP, vol. 2(1), pages 1-21, February.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. repec:ebl:ecbull:v:3:y:2008:i:42:p:1-13 is not listed on IDEAS
    2. Jan Brenner, 2007. "Parental Impact on Attitude Formation - A Siblings Study on Worries about Immigration," Ruhr Economic Papers 0022, Rheinisch-Westfälisches Institut für Wirtschaftsforschung, Ruhr-Universität Bochum, Universität Dortmund, Universität Duisburg-Essen.
    3. Frank Goedertier & Bert Weijters & Joeri Van den Bergh, 2024. "Are Consumers Equally Willing to Pay More for Brands That Aim for Sustainability, Positive Societal Contribution, and Inclusivity as for Brands That Are Perceived as Exclusive? Generational, Gender, a," Sustainability, MDPI, vol. 16(9), pages 1-20, May.
    4. Wenjia Zhang & Ming Zhang, 2018. "Incorporating land use and pricing policies for reducing car dependence: Analytical framework and empirical evidence," Urban Studies, Urban Studies Journal Limited, vol. 55(13), pages 3012-3033, October.
    5. Chen, Bo & Saghaian, Sayed, 2017. "Does Consumers’ Preference for Organic Foods Affect Their Store Format Choices?," 2017 Annual Meeting, February 4-7, 2017, Mobile, Alabama 252827, Southern Agricultural Economics Association.
    6. Peter Sivey, 2012. "The effect of waiting time and distance on hospital choice for English cataract patients," Health Economics, John Wiley & Sons, Ltd., vol. 21(4), pages 444-456, April.
    7. Rita Saleh & Angela Bearth & Michael Siegrist, 2019. "“Chemophobia” Today: Consumers’ Knowledge and Perceptions of Chemicals," Risk Analysis, John Wiley & Sons, vol. 39(12), pages 2668-2682, December.
    8. Marino, Maria Francesca & Alfó, Marco, 2016. "Gaussian quadrature approximations in mixed hidden Markov models for longitudinal data: A simulation study," Computational Statistics & Data Analysis, Elsevier, vol. 94(C), pages 193-209.
    9. Bambio, Yiriyibin & Bouayad Agha, Salima, 2018. "Land tenure security and investment: Does strength of land right really matter in rural Burkina Faso?," World Development, Elsevier, vol. 111(C), pages 130-147.
    10. Xia, Ye-Mao & Tang, Nian-Sheng & Gou, Jian-Wei, 2016. "Generalized linear latent models for multivariate longitudinal measurements mixed with hidden Markov models," Journal of Multivariate Analysis, Elsevier, vol. 152(C), pages 259-275.
    11. Massimiliano Bratti & Alfonso Miranda, 2010. "Non‐pecuniary returns to higher education: the effect on smoking intensity in the UK," Health Economics, John Wiley & Sons, Ltd., vol. 19(8), pages 906-920, August.
    12. Björn Andersson & Tao Xin, 2021. "Estimation of Latent Regression Item Response Theory Models Using a Second-Order Laplace Approximation," Journal of Educational and Behavioral Statistics, , vol. 46(2), pages 244-265, April.
    13. Xiang Wu & Bin Hu & Jie Xiong, 2020. "Understanding Heterogeneous Consumer Preferences in Chinese Milk Markets: A Latent Class Approach," Post-Print hal-02489646, HAL.
    14. Hongsoo Kim & Seyune Lee & Young-Il Jung & Yun-Chul Hong, 2021. "Association between Phthalate Exposure and Frailty among Community-Dwelling Older Adults: A Repeated Panel Data Study," IJERPH, MDPI, vol. 18(4), pages 1-12, February.
    15. Stephen Schilling & R. Bock, 2005. "High-dimensional maximum marginal likelihood item factor analysis by adaptive quadrature," Psychometrika, Springer;The Psychometric Society, vol. 70(3), pages 533-555, September.
    16. Nicolette D. Manglos-Weber, 2017. "Religious Transformations and Generalized Trust in Sub-Saharan Africa," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 133(2), pages 579-599, September.
    17. Aksoy, Ozan, 2019. "Social identity and social value orientations," SocArXiv 83rzv, Center for Open Science.
    18. Stanislav Kolenikov, 2009. "Confirmatory factor analysis using confa," Stata Journal, StataCorp LP, vol. 9(3), pages 329-373, September.
    19. Kristin Jürkenbeck & Achim Spiller, 2020. "Consumers’ Evaluation of Stockfree-Organic Agriculture—A Segmentation Approach," Sustainability, MDPI, vol. 12(10), pages 1-19, May.
    20. BAGLIONE, Stephen L. & TUCCI, Louis A. & STANTON, John L., 2019. "Organic Food: Identifying Actionable Segments," Holistic Marketing Management Journal, Holistic Marketing Management, vol. 9(1), pages 10-27, March.
    21. Emran, M. Shahe & Shilpi, Forhad, 2015. "Gender, Geography, and Generations: Intergenerational Educational Mobility in Post-Reform India," World Development, Elsevier, vol. 72(C), pages 362-380.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jijerp:v:12:y:2015:i:2:p:1466-1486:d:45153. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.