Pilot testing an electronic food diary among Registered Nurses working night shifts

References

• Ambrosini GL, Hurworth M, Giglia R, Trapp G, Strauss P. 2018. Feasibility of a commercial smartphone application for dietary assessment in epidemiological research and comparison with 24-h dietary recalls. Nutr J. 17(1):5. doi:10.1186/s12937-018-0315-4
   PubMedGoogle Scholar
• Cayanan EA, Eyre NA, Lao V, Comas M, Hoyos CM, Marshall NS, Phillips CL, Shiao JS, Guo YL, Gordon CJ. 2019. Is 24-hour energy intake greater during night shift compared to non-night shift patterns? A systematic review. Chronobiol Int. 36(12):1599–1612. doi:10.1080/07420528.2019.1666865
   PubMed Web of Science ®Google Scholar
• Chang T, Ravi N, Plegue MA, Sonneville KR, Davis MM. 2016. Inadequate hydration, BMI, and obesity among US adults: NHANES 2009–2012. Ann Fam Med. 14(4):320–324. doi:10.1370/afm.1951
   PubMed Web of Science ®Google Scholar
• Cohen, J. (1988). Statistical Power Analysis for the Behavioral Sciences(2nd ed.). Hillsdale, NJ: L. Erlbaum Associates.
   Google Scholar
• Diede T, Coogle C, Cason M, Bigand TL, Wilson ML, Furman L. 2019. Qualitative interviews of Registered Nurses’ experiences taking breaks on night shift. Accepted for poster presentation. 24th International Symposium on Shiftwork and Working Time, Coeur d’Alene, ID, September.
   Google Scholar
• Fradkin L, Raz O, Boaz M. 2019. Nurses who work rotating shifts consume more energy, macronutrients, and calcium when they work the night shift versus day shift. Chronobiol Int. 36(2):288–295. doi:10.1080/07420528.2018.1538155
   PubMed Web of Science ®Google Scholar
• Gifkins J, Johnston A, Loudoun R. 2018. The impact of shift work on eating patterns and self-care strategies utilised by experienced and inexperienced nurses. Chronobiol Int. 35(6):811–820. doi:10.1080/07420528.2018.1466790
   PubMed Web of Science ®Google Scholar
• Hales C, Carroll M, Fryar C, Ogden C. 2017. Prevalence of obesity among adults and youth: United States, 2015–2016. NCHS Data Brief. (288):1–8.
   Google Scholar
• Hegg-Deloye S, Prairie J, Larouche D, Corbeil P. 2015. Eating habits of paramedics working in the City of Québec: a pilot study. Obes Open Access. 1:2. http://dx.doi.org/10.16966/2380-5528.10
   Google Scholar
• Jacques A, Chaaya N, Beecher K, Ali SA, Belmer A, Bartlett S. 2019. The impact of sugar consumption on stress driven, emotional and addictive behaviors. Neurosci Biobeh Rev. 103:178–199. doi:10.1016/j.neubiorev.2019.05.021
   PubMed Web of Science ®Google Scholar
• Kyle RG, Wills J, Mahoney C, Hoyle L, Kelly M, Atherton IM. 2017. Obesity prevalence among healthcare professionals in England: a cross-sectional study using the health survey for England. BMJ Open. 7(12):e018498. doi:10.1136/bmjopen-2017-018498
   PubMed Web of Science ®Google Scholar
• Laermans J, Depoortere I. 2016. Chronobesity: role of the circadian system in the obesity epidemic. Obes Rev. 17(2):108–125. https://doi.org/10.1111/obr.12351
   PubMed Web of Science ®Google Scholar
• Laing BY, Mangione CM, Tseng CH, Leng M, Vaisberg E, Mahida M, Bhloat M, Glazier E, Morisky DS, Bell DS, et al. 2014. Effectiveness of a smartphone application for weight loss compared with usual care in overweight primary care patients: a randomized, controlled trial. Ann Intern Med. 161(10 Suppl):S5– S12. https://www.acpjournals.org/doi/10.7326/M13-3005
   PubMed Web of Science ®Google Scholar
• Lieberman HR, Agarwal S, Caldwell JA, Fulgoni VL. 2020. Demographics, sleep, and daily patterns of caffeine intake of shift workers in a nationally representative sample of the US adult population. Sleep. 43(3):zsz240. https://doi.org/10.1093/sleep/zsz240
   PubMed Web of Science ®Google Scholar
• Lin TK, Teymourian Y, Tursini MS. 2018. The effect of sugar and processed food imports on the prevalence of overweight and obesity in 172 countries. Glob Heal. 14(1):35. doi:10.1186/s12992-018-0344-y
   PubMedGoogle Scholar
• Moselm A, Zamirinejad S, Ghezeli F, Akaberi A. 2016. The impact of night shift on working memory performance: A pilot study. Int J Hum Cult Stud (IJHCS). 2(3):1132–1138. http://www.ijhcs.com/index.php/ijhcs/index
   Google Scholar
• MyFitnessPal. 2020. Where does MyFitnessPal get its food data? https://support.myfitnesspal.com/hc/en-us/articles/360032271252-Where-does-MyFitnessPal-get-its-food-data- Accessed June 12, 2020.
   Google Scholar
• Peplonska B, Kaluzny P, Trafalska E. 2019. Rotating night shift work and nutrition of nurses and midwives. Chronobiol Int. 36(7):945–954. doi:10.1080/07420528.2019.1602051
   PubMed Web of Science ®Google Scholar
• Qian J, Dalla Man C, Morris CJ, Cobelli C, Scheer FA. 2018. Differential effects of the circadian system and circadian misalignment on insulin sensitivity and insulin secretion in humans. Diab Obes Metab. 20(10):2481–2485. doi:10.1111/dom.13391
   PubMed Web of Science ®Google Scholar
• Racz B, Duskova MM, Starka L, Hainer V, Kunesova M. 2018. Links between the circadian rhythm, obesity and the microbiome. Physi Res. 67(Suppl3):S409– S420. doi:10.33549/physiolres.934020
   PubMedGoogle Scholar
• Sekhon M, Cartwright M, Francis JJ. 2017. Acceptability of healthcare interventions: an overview of reviews and development of a theoretical framework. BMC Heal Serv Res. 17(1):88. doi:10.1186/s12913-017-2031-8
   PubMed Web of Science ®Google Scholar
• Shaw, E, Dorrian, J, Coates, AM, Leung, GK, Davis R, Rosbotham, E, ... Bonham, MP. 2019. Temporal pattern of eating in night shift workers. Chronobiol Int., 36(12), 1613–1625. https://doi.org/10.1080/07420528.2019.1660358
   PubMed Web of Science ®Google Scholar
• Shaw E, Dorrian J, Coates AM, Leung GK, Davis R, Rosbotham E, Warnock R, Huggins CE, Bonham MP. 2019. Temporal pattern of eating in night shift workers. Chronobiol Int. 36(12):1613–1625. doi:10.1080/07420528.2019.1660358
   PubMed Web of Science ®Google Scholar
• Stanhope KL. 2016. Sugar consumption, metabolic disease and obesity: the state of the controversy. Crit Rev Clin Lab Sci. 53:1. doi:10.3109/10408363.2015.1084990
   PubMed Web of Science ®Google Scholar
• Steele EM, Popkin BM, Swinburn B, Monteiro CA. 2017. The share of ultra-processed foods and the overall nutritional quality of diets in the US: evidence from a nationally representative cross-sectional study. Pop Heal Met. 15(1):6. doi:10.1186/s12963-017-0119-3
   PubMedGoogle Scholar
• Teixeira V, Voci SM, Mendes-Netto RS, da Silva DG. 2018. The relative validity of a food record using the smartphone application MyFitnessPal. Nutr Diet. 75(2):219–225. doi:10.1111/1747-0080.12401
   PubMed Web of Science ®Google Scholar
• Turner-McGrievy GM, Beets MW, Moore JB, Kaczynski AT, Barr-Anderson DJ, Tate DF. 2013. Comparison of traditional versus mobile app self-monitoring of physical activity and dietary intake among overweight adults participating in an mHealth weight loss program. J Am Med Inform Assoc. 20(3):513–518. doi:10.1136/amiajnl-2012-001510
   PubMed Web of Science ®Google Scholar
• US Department of Health and Human Services. 2010. The registered nurse population: findings from the 2008 national sample survey of registered nurses. Health Resources and Services Administration, (ed.). US Department of Health and Human Services. Health Recourses Serv Adm.
   Google Scholar
• US Department of Health and Human Services and US Department of Agriculture. 2015–2020 dietary guidelines for Americans. 8th ed. United States Department of Health and Human Services. January 2016. https://health.gov/dietaryguidelines/2015/guidelines/ Accessed August 21, 2019
   Google Scholar