16 results on '"Hutchinson, Joy M."'
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2. Micronutrient deficiencies are frequent in adult patients with and without celiac disease on a gluten-free diet, regardless of duration and adherence to the diet
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Jivraj, Aseera, Hutchinson, Joy M., Ching, Emily, Marwaha, Avantika, Verdu, Elena F., Armstrong, David, and Pinto-Sanchez, M. Ines
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- 2022
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3. Digestive Manifestations in Patients Hospitalized With Coronavirus Disease 2019
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Elmunzer, B. Joseph, Spitzer, Rebecca L., Foster, Lydia D., Merchant, Ambreen A., Howard, Eric F., Patel, Vaishali A., West, Mary K., Qayed, Emad, Nustas, Rosemary, Zakaria, Ali, Piper, Marc S., Taylor, Jason R., Jaza, Lujain, Forbes, Nauzer, Chau, Millie, Lara, Luis F., Papachristou, Georgios I., Volk, Michael L., Hilson, Liam G., Zhou, Selena, Kushnir, Vladimir M., Lenyo, Alexandria M., McLeod, Caroline G., Amin, Sunil, Kuftinec, Gabriela N., Yadav, Dhiraj, Fox, Charlie, Kolb, Jennifer M., Pawa, Swati, Pawa, Rishi, Canakis, Andrew, Huang, Christopher, Jamil, Laith H., Aneese, Andrew M., Glamour, Benita K., Smith, Zachary L., Hanley, Katherine A., Wood, Jordan, Patel, Harsh K., Shah, Janak N., Agarunov, Emil, Sethi, Amrita, Fogel, Evan L., McNulty, Gail, Haseeb, Abdul, Trieu, Judy A., Dixon, Rebekah E., Yang, Jeong Yun, Mendelsohn, Robin B., Calo, Delia, Aroniadis, Olga C., LaComb, Joseph F., Scheiman, James M., Sauer, Bryan G., Dang, Duyen T., Piraka, Cyrus R., Shah, Eric D., Pohl, Heiko, Tierney, William M., Mitchell, Stephanie, Condon, Ashwinee, Lenhart, Adrienne, Dua, Kulwinder S., Kanagala, Vikram S., Kamal, Ayesha, Singh, Vikesh K., Pinto-Sanchez, Maria Ines, Hutchinson, Joy M., Kwon, Richard S., Korsnes, Sheryl J., Singh, Harminder, Solati, Zahra, Willingham, Field F., Yachimski, Patrick S., Conwell, Darwin L., Mosier, Evan, Azab, Mohamed, Patel, Anish, Buxbaum, James, Wani, Sachin, Chak, Amitabh, Hosmer, Amy E., Keswani, Rajesh N., DiMaio, Christopher J., Bronze, Michael S., Muthusamy, Raman, Canto, Marcia I., Gjeorgjievski, V. Mihajlo, Imam, Zaid, Odish, Fadi, Edhi, Ahmed I., Orosey, Molly, Tiwari, Abhinav, Patwardhan, Soumil, Brown, Nicholas G., Patel, Anish A., Ordiah, Collins O., Sloan, Ian P., Cruz, Lilian, Koza, Casey L., Okafor, Uchechi, Hollander, Thomas, Furey, Nancy, Reykhart, Olga, Zbib, Natalia H., Damianos, John A., Esteban, James, Hajidiacos, Nick, Saul, Melissa, Mays, Melanie, Anderson, Gulsum, Wood, Kelley, Mathews, Laura, Diakova, Galina, Caisse, Molly, Wakefield, Lauren, Nitchie, Haley, Waljee, Akbar K., Tang, Weijing, Zhang, Yueyang, Zhu, Ji, Deshpande, Amar R., Rockey, Don C., Alford, Teldon B., and Durkalski, Valerie
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- 2021
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4. Association Between Preadmission Acid Suppressive Medication Exposure and Severity of Illness in Patients Hospitalized With COVID-19
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Merchant, Ambreen A., Patel, Vaishali A., Willingham, Field F., Howard, Eric F., West, Mary K., Koza, Casey L., Yachimski, Patrick S., Qayed, Emad, Nustas, Rosemary, Zakaria, Ali, Piper, Marc S., Jaza, Lujain, Forbes, Nauzer, Chau, Millie, Lara, Luis F., Papachristou, Georgios I., Okafor, Uchechi, Conwell, Darwin L., Volk, Michael L., Mosier, Evan, Azab, Mohamed, Patel, Anish, Hilson, Liam G., Zhou, Selena, Buxbaum, James, Kushnir, Vladimir M., Lenyo, Alexandria M., Sloan, Ian P., Hollander, Thomas, McLeod, Caroline G., Spitzer, Rebecca L., Wakefield, Lauren, Nitchie, Haley, Ordiah, Collins O., Rockey, Don C., Alford, Teldon B., Amin, Sunil, Kuftinec, Gabriela N., Deshpande, Amar R., Yadav, Dhiraj, Saul, Melissa, Mays, Melanie, Anderson, Gulsum, Wood, Kelley, Mathews, Laura, Fox, Charlie, Kolb, Jennifer M., Wani, Sachin, Pawa, Swati, Pawa, Rishi, Canakis, Andrew, Huang, Christopher, Jamil, Laith H., Aneese, Andrew M., Gjeorgjievski, V. Mihajlo, Imam, Zaid, Odish, Fadi, Edhi, Ahmed I., Orosey, Molly, Tiwari, Abhinav, Patwardhan, Soumil, Glamour, Benita K., Smith, Zachary L., Hosmer, Amy E., Furey, Nancy, Chak, Amitabh, Hanley, Katherine A., Wood, Jordan, Keswani, Rajesh N., Patel, Harsh K., Shah, Janak N., Agarunov, Emil, Brown, Nicholas G., Patel, Anish A., Sethi, Amrita, Fogel, Evan L., McNulty, Gail, Haseeb, Abdul, Trieu, Judy A., Dixon, Rebekah E., Yang, Jeong Yun, DiMaio, Christopher J., Mendelsohn, Robin B., Calo, Delia, Aroniadis, Olga C., LaComb, Joseph F., Cruz, Lilian, Reykhart, Olga, Sauer, Bryan G., Diakova, Galina, Dang, Duyen T., Piraka, Cyrus R., Shah, Eric D., Caisse, Molly, Zbib, Natalia H., Damianos, John A., Pohl, Heiko, Mitchell, Stephanie, Bronze, Michael S., Condon, Ashwinee, Lenhart, Adrienne, Muthusamy, Raman, Dua, Kulwinder S., Kanagala, Vikram S., Esteban, James, Kamal, Ayesha, Canto, Marcia I., Singh, Vikesh K., Pinto-Sanchez, Maria Ines, Hutchinson, Joy M., Kwon, Richard S., Korsnes, Sheryl J., Waljee, Akbar K., Tang, Weijing, Zhang, Yueyang, Zhu, Ji, Singh, Harminder, Solati, Zahra, Hajidiacos, Nick, Elmunzer, B. Joseph, Wolf, Bethany J., Scheiman, James M., Tierney, William M., and Taylor, Jason R.
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- 2021
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5. Construct validity and reliability of the Canadian Eating Practices Screener to assess eating practices based on 2019 Canada's Food Guide recommendations
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Perreault, Maude, primary, Wallace, Angela, additional, Martin, Alicia, additional, Sadowski, Adam, additional, Laila, Amar, additional, Lemieux, Simone, additional, Hutchinson, Joy M., additional, Kirkpatrick, Sharon I., additional, Simpson, Janis Randall, additional, Guenther, Patricia M., additional, Lamarche, Benoît, additional, Jessri, Mahsa, additional, Louzada, Maria Laura da Costa, additional, Olstad, Dana Lee, additional, Prowse, Rachel, additional, Vatanparast, Hassan, additional, and Haines, Jess, additional
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- 2023
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6. Development of the Canadian Eating Practices Screener to assess eating practices based on 2019 Canada's Food Guide recommendations.
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Wallace, Angela, Martin, Alicia, Bédard, Alexandra, Pitre, Camille, Lemieux, Simone, Simpson, Janis Randall, Kirkpatrick, Sharon I., Hutchinson, Joy M., Williams, Tabitha E., Westaway, Ailish M., Lamarche, Benoît, Day, Meghan, Guenther, Patricia M., Jessri, Mahsa, L'Abbé, Mary R., Louzada, Maria Laura de Costa, Olstad, Dana Lee, Prowse, Rachel, Reedy, Jill, and Vatanparast, Hassan
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FOOD habits ,EXPERIMENTAL design ,RESEARCH evaluation ,SELF-evaluation ,RESEARCH methodology ,INTERVIEWING ,VIDEOCONFERENCING ,TEST validity ,HEALTH literacy ,QUESTIONNAIRES ,SOUND recordings ,JUDGMENT sampling ,THEMATIC analysis ,VIDEO recording ,EVALUATION ,ADULTS - Abstract
In 2019, Health Canada released a new iteration of Canada's Food Guide (2019-CFG), which, for the first time, highlighted recommendations regarding eating practices, i.e., guidance on where, when, why, and how to eat. The objective of this study was to develop a brief self-administered screener to assess eating practices recommended in the 2019-CFG among adults aged 18–65 years. Development of the screener items was informed by a review of existing tools and mapping of items onto 2019-CFG recommendations. Face and content validity were assessed with experts in public health nutrition and/or dietary assessment (n = 16) and individuals from Government of Canada (n = 14). Cognitive interviews were conducted with English-speaking (n = 16) and French-speaking (n = 16) adults living in Canada to assess face validity and understanding of the screener items. While some modifications were identified to improve relevance or clarity, overall, the screener items were found to be relevant, well-constructed, and clearly worded. This comprehensive process resulted in the Canadian Eating Practices Screener/Questionnaire court canadien sur les pratiques alimentaires, which includes 21 items that assess eating practices recommended in the 2019-CFG. This screener can facilitate monitoring and surveillance efforts of the 2019-CFG eating practices as well as research exploring how these practices are associated with various health outcomes. [ABSTRACT FROM AUTHOR]
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- 2023
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7. Development of the Canadian Food Intake Screener to assess alignment of adults’ dietary intake with the 2019 Canada's Food Guide healthy food choices recommendations
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Hutchinson, Joy M., primary, Williams, Tabitha E., additional, Westaway, Ailish M., additional, Bédard, Alexandra, additional, Pitre, Camille, additional, Lemieux, Simone, additional, Dodd, Kevin W., additional, Lamarche, Benoît, additional, Guenther, Patricia M., additional, Haines, Jess, additional, Wallace, Angela, additional, Martin, Alicia, additional, Louzada, Maria Laura da Costa, additional, Jessri, Mahsa, additional, Olstad, Dana Lee, additional, Prowse, Rachel, additional, Simpson, Janis Randall, additional, Vena, Jennifer E., additional, and Kirkpatrick, Sharon I., additional
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- 2023
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8. The Canadian Food Intake Screener for assessing alignment of adults’ dietary intake with the 2019 Canada’s Food Guide healthy food choices recommendations: Scoring system and construct validity
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Hutchinson, Joy M., primary, Dodd, Kevin W., additional, Guenther, Patricia M., additional, Lamarche, Benoît, additional, Haines, Jess, additional, Wallace, Angela, additional, Perreault, Maude, additional, Williams, Tabitha E., additional, Louzada, Maria-Laura, additional, Jessri, Mahsa, additional, Lemieux, Simone, additional, Olstad, Dana Lee, additional, Prowse, Rachel, additional, Randall Simpson, Janis A., additional, Vena, Jennifer E., additional, Szajbely, Kathleen, additional, and Kirkpatrick, Sharon I., additional
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- 2023
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9. Development of the Canadian Food Intake Screener to assess alignment of adults’ dietary intake with the 2019 Canada’s Food Guide healthy food choices recommendations
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Hutchinson, Joy M., primary, Williams, Tabitha E., additional, Westaway, Ailish M., additional, Bédard, Alexandra, additional, Pitre, Camille, additional, Lemieux, Simone, additional, Dodd, Kevin W., additional, Lamarche, Benoît, additional, Guenther, Patricia M., additional, Haines, Jess, additional, Wallace, Angela, additional, Martin, Alicia, additional, da Costa Louzada, Maria Laura, additional, Jessri, Mahsa, additional, Olstad, Dana Lee, additional, Prowse, Rachel, additional, Randall Simpson, Janis, additional, Vena, Jennifer E., additional, and Kirkpatrick, Sharon I., additional
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- 2022
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10. The Canadian Food Intake Screener for assessing alignment of adults’ dietary intake with the 2019 Canada’s Food Guide healthy food choices recommendations: Scoring system and construct validity
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Hutchinson, Joy M., primary, Dodd, Kevin W., additional, Guenther, Patricia M., additional, Lamarche, Benoit, additional, Haines, Jess, additional, Wallace, Angela, additional, Perreault, Maude, additional, Williams, Tabitha E., additional, Costa Louzada, Maria Laura da, additional, Jessri, Mahsa, additional, Lemieux, Simone, additional, Olstad, Dana Lee, additional, Prowse, Rachel, additional, Simpson, Janis Randall, additional, Vena, Jennifer E., additional, Szajbely, Kathleen, additional, and Kirkpatrick, Sharon I., additional
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- 2022
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11. Association Between Preadmission Acid Suppressive Medication Exposure and Severity of Illness in Patients Hospitalized With COVID-19
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Elmunzer, B. Joseph, primary, Wolf, Bethany J., additional, Scheiman, James M., additional, Tierney, William M., additional, Taylor, Jason R., additional, Merchant, Ambreen A., additional, Patel, Vaishali A., additional, Willingham, Field F., additional, Howard, Eric F., additional, West, Mary K., additional, Koza, Casey L., additional, Yachimski, Patrick S., additional, Qayed, Emad, additional, Nustas, Rosemary, additional, Zakaria, Ali, additional, Piper, Marc S., additional, Jaza, Lujain, additional, Forbes, Nauzer, additional, Chau, Millie, additional, Lara, Luis F., additional, Papachristou, Georgios I., additional, Okafor, Uchechi, additional, Conwell, Darwin L., additional, Volk, Michael L., additional, Mosier, Evan, additional, Azab, Mohamed, additional, Patel, Anish, additional, Hilson, Liam G., additional, Zhou, Selena, additional, Buxbaum, James, additional, Kushnir, Vladimir M., additional, Lenyo, Alexandria M., additional, Sloan, Ian P., additional, Hollander, Thomas, additional, McLeod, Caroline G., additional, Spitzer, Rebecca L., additional, Wakefield, Lauren, additional, Nitchie, Haley, additional, Ordiah, Collins O., additional, Rockey, Don C., additional, Alford, Teldon B., additional, Amin, Sunil, additional, Kuftinec, Gabriela N., additional, Deshpande, Amar R., additional, Yadav, Dhiraj, additional, Saul, Melissa, additional, Mays, Melanie, additional, Anderson, Gulsum, additional, Wood, Kelley, additional, Mathews, Laura, additional, Fox, Charlie, additional, Kolb, Jennifer M., additional, Wani, Sachin, additional, Pawa, Swati, additional, Pawa, Rishi, additional, Canakis, Andrew, additional, Huang, Christopher, additional, Jamil, Laith H., additional, Aneese, Andrew M., additional, Gjeorgjievski, V. Mihajlo, additional, Imam, Zaid, additional, Odish, Fadi, additional, Edhi, Ahmed I., additional, Orosey, Molly, additional, Tiwari, Abhinav, additional, Patwardhan, Soumil, additional, Glamour, Benita K., additional, Smith, Zachary L., additional, Hosmer, Amy E., additional, Furey, Nancy, additional, Chak, Amitabh, additional, Hanley, Katherine A., additional, Wood, Jordan, additional, Keswani, Rajesh N., additional, Patel, Harsh K., additional, Shah, Janak N., additional, Agarunov, Emil, additional, Brown, Nicholas G., additional, Patel, Anish A., additional, Sethi, Amrita, additional, Fogel, Evan L., additional, McNulty, Gail, additional, Haseeb, Abdul, additional, Trieu, Judy A., additional, Dixon, Rebekah E., additional, Yang, Jeong Yun, additional, DiMaio, Christopher J., additional, Mendelsohn, Robin B., additional, Calo, Delia, additional, Aroniadis, Olga C., additional, LaComb, Joseph F., additional, Cruz, Lilian, additional, Reykhart, Olga, additional, Sauer, Bryan G., additional, Diakova, Galina, additional, Dang, Duyen T., additional, Piraka, Cyrus R., additional, Shah, Eric D., additional, Caisse, Molly, additional, Zbib, Natalia H., additional, Damianos, John A., additional, Pohl, Heiko, additional, Mitchell, Stephanie, additional, Bronze, Michael S., additional, Condon, Ashwinee, additional, Lenhart, Adrienne, additional, Muthusamy, Raman, additional, Dua, Kulwinder S., additional, Kanagala, Vikram S., additional, Esteban, James, additional, Kamal, Ayesha, additional, Canto, Marcia I., additional, Singh, Vikesh K., additional, Pinto-Sanchez, Maria Ines, additional, Hutchinson, Joy M., additional, Kwon, Richard S., additional, Korsnes, Sheryl J., additional, Waljee, Akbar K., additional, Tang, Weijing, additional, Zhang, Yueyang, additional, Zhu, Ji, additional, Singh, Harminder, additional, Solati, Zahra, additional, and Hajidiacos, Nick, additional
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- 2021
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12. Snacking Patterns of Preschool-Aged Children: Opportunity for Improvement.
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HUTCHINSON, JOY M., WATTERWORTH, JESSICA C., HAINES, JESS, DUNCAN, ALISON M., MIROTTA, JULIA A., MA, DAVID W. L., and BUCHHOLZ, ANDREA C.
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- 2018
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13. Single Nucleotide Polymorphisms in Taste Receptor Genes Are Associated with Snacking Patterns of Preschool-Aged Children in the Guelph Family Health Study: A Pilot Study.
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Chamoun, Elie, Hutchinson, Joy M., Krystia, Owen, Mirotta, Julia A., Mutch, David M., Buchholz, Andrea C., Duncan, Alison M., Darlington, Gerarda, Haines, Jess, Ma, David W. L., and Guelph Family Health Study
- Abstract
Snacking is an integral component of eating habits in young children that is often overlooked in nutrition research. While snacking is a substantial source of calories in preschoolers' diets, there is limited knowledge about the factors that drive snacking patterns. The genetics of taste may help to better understand the snacking patterns of children. The rs1761667 single nucleotide polymorphism (SNP) in the CD36 gene has been linked to fat taste sensitivity, the rs35874116 SNP in the TAS1R2 gene has been related to sweet taste preference, and the rs713598 SNP in the TAS2R38 gene has been associated with aversion to bitter, green leafy vegetables. This study seeks to determine the cross-sectional associations between three taste receptor SNPs and snacking patterns among preschoolers in the Guelph Family Health Study. Preschoolers' snack quality, quantity, and frequency were assessed using three-day food records and saliva was collected for SNP genotyping (n = 47). Children with the TT genotype in TAS1R2 consumed snacks with significantly more calories from sugar, and these snacks were consumed mostly in the evening. Total energy density of snacks was highest in the CC and CG genotypes compared to the GG genotype in TAS2R38, and also greater in the AA genotype in CD36 compared to G allele carriers, however this difference was not individually attributable to energy from fat, carbohydrates, sugar, or protein. Genetic variation in taste receptors may influence snacking patterns of preschoolers. [ABSTRACT FROM AUTHOR]
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- 2018
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14. Food parenting practices and their association with child nutrition risk status: comparing mothers and fathers.
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Watterworth, Jessica C., Hutchinson, Joy M., Buchholz, Andrea C., Darlington, Gerarda, Randall Simpson, Janis A., Ma, David W.L., and Haines, Jess
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NUTRITION disorders in children , *CHILD nutrition , *COMPARATIVE studies , *COOKING , *DIET , *FATHERS , *HEALTH behavior , *MOTHERS , *NUTRITIONAL assessment , *PARENTING , *PROBABILITY theory , *QUESTIONNAIRES , *REWARD (Psychology) , *ROLE models , *HOME environment , *BODY mass index , *CROSS-sectional method , *NUTRITIONAL value , *DISEASE risk factors - Abstract
In Canada, little is known about how food parenting practices are associated with young children's dietary intakes and no studies have examined food parenting practices of Canadian fathers. This study aimed to examine associations between food parenting practices and preschool-age children's nutrition risk. We conducted a cross-sectional analysis of thirty-one 2-parent families; 31 mothers, 31 fathers, and 40 preschool-age children. Parents completed an adapted version of the Comprehensive Feeding Practices Questionnaire. We calculated children's nutrition risk using their NutriSTEP score. To account for sibling association, we used generalized estimating equations, adjusting for child age, sex, household income, and parental body mass index. Both mothers' and fathers' involvement of children in meal preparation were associated with lower child nutrition risk (mother = -3.45, p = 0.02; father = -1.74, p = 0.01), as were their healthy home environment scores (mother = -8.36, p < 0.001; father = -2.69, p = 0.04). Mothers' encouragement of balance and variety was associated with lower nutrition risk ( = -8.88, p = 0.01), whereas mothers' use of food as a reward was associated with higher nutrition risk ( = 4.67, p < 0.001). Fathers' modelling of healthy behaviours was associated with lower nutrition risk ( = -2.21, p = 0.01), whereas fathers' restriction for health ( = 2.21, p = 0.03) and pressure-to-eat scores ( = 3.26, p = <0.001) were associated with higher nutrition risk. No associations were found between child nutrition status and parental emotion regulation, control, monitoring, or restriction for weight. In conclusion, both mothers' and fathers' food parenting practices are associated with their children's nutrition status. Fathers should be included in food parenting practices interventions. [ABSTRACT FROM AUTHOR]
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- 2017
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15. Advances in methods for characterizing dietary patterns: A scoping review.
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Hutchinson JM, Raffoul A, Pepetone A, Andrade L, Williams TE, McNaughton SA, Leech RM, Reedy J, Shams-White MM, Vena JE, Dodd KW, Bodnar LM, Lamarche B, Wallace MP, Deitchler M, Hussain S, and Kirkpatrick SI
- Abstract
There is a growing focus on better understanding the complexity of dietary patterns and how they relate to health and other factors. Approaches that have not traditionally been applied to characterize dietary patterns, such as machine learning algorithms and latent class analysis methods, may offer opportunities to measure and characterize dietary patterns in greater depth than previously considered. However, there has not been a formal examination of how this wide range of approaches has been applied to characterize dietary patterns. This scoping review synthesized literature from 2005-2022 applying methods not traditionally used to characterize dietary patterns, referred to as novel methods. MEDLINE, CINAHL, and Scopus were searched using keywords including machine learning, latent class analysis, and least absolute shrinkage and selection operator (LASSO). Of 5274 records identified, 24 met the inclusion criteria. Twelve of 24 articles were published since 2020. Studies were conducted across 17 countries. Nine studies used approaches that have applications in machine learning to identify dietary patterns. Fourteen studies assessed associations between dietary patterns that were characterized using novel methods and health outcomes, including cancer, cardiovascular disease, and asthma. There was wide variation in the methods applied to characterize dietary patterns and in how these methods were described. The extension of reporting guidelines and quality appraisal tools relevant to nutrition research to consider specific features of novel methods may facilitate complete and consistent reporting and enable evidence synthesis to inform policies and programs aimed at supporting healthy dietary patterns., Competing Interests: Conflict of Interest: RML is a statistical editor for the British Journal of Nutrition. Other authors have none to declare.
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- 2024
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16. Development, validity and reliability assessment of the Canadian Food Literacy Measure.
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Martin A, Wallace A, Jacob R, Any M, Laila A, Hernandez K, Perreault M, Hutchinson JM, Sadowski A, Saher A, Dorais V, Kirkpatrick SI, and Haines J
- Abstract
Food literacy is a growing area of interest given its potential to support healthy and sustainable diets. Most existing food literacy measures focus on nutrition and food skills but fail to address food systems and socio-environmental aspects of food literacy. Further, measures developed and tested in the Canadian context are lacking. The objective of this project was to develop and test the validity and reliability of a brief self-administered measure, in French and English, designed to assess multiple dimensions of food literacy among adults living in Canada. The 23-item Canadian Food Literacy Measure was developed through an iterative process that included assessment of face and content validity through expert review (n=20) and cognitive interviews (n=20), and construct validity and reliability, i.e., internal consistency through an online survey (n=154). The results indicate that the measure is well understood by both English- and French-speaking adults. The measure's construct validity is demonstrated by the observed differences in total scores in hypothesized directions by gender (p=0.003), age (p=0.007), education level (p=0.002), health literacy (p<0.001) and smoking status (p=0.001) and the significant positive correlation (r = 0.29; p=0.002) between total scores and fruit and vegetable intake. The measure also has high internal consistency with a Cronbach's coefficient alpha of 0.80. This measure can be used in surveillance studies to provide insight into the food literacy of adults living in Canada and in epidemiologic research that aims to explore how food literacy is associated with a variety of health outcomes.
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- 2024
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