Physical Activity, Energy Expenditure, Nutritional Habits, Quality of Sleep and Stress Levels in Shift-Working Health Care Personnel
Among health care personnel working regular hours or rotating shifts can affect parameters of general health and nutrition. We have investigated physical activity, sleep quality, metabolic activity and stress levels in health care workers from both groups. We prospectively recruited 46 volunteer par...
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Published in: | PloS one Vol. 12; no. 1; p. e0169983 |
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Format: | Journal Article |
Language: | English |
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12-01-2017
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Abstract | Among health care personnel working regular hours or rotating shifts can affect parameters of general health and nutrition. We have investigated physical activity, sleep quality, metabolic activity and stress levels in health care workers from both groups.
We prospectively recruited 46 volunteer participants from the workforce of a University Medical Department of which 23 worked in rotating shifts (all nursing) and 21 non-shift regular hours (10 nursing, 13 clerical staff). All were investigated over 7 days by multisensory accelerometer (SenseWear Bodymedia® armband) and kept a detailed food diary. Physical activity and resting energy expenditure (REE) were measured in metabolic equivalents of task (METs). Quality of sleep was assessed as Pittsburgh Sleeping Quality Index and stress load using the Trier Inventory for Chronic Stress questionnaire (TICS).
No significant differences were found for overall physical activity, steps per minute, time of exceeding the 3 METs level or sleep quality. A significant difference for physical activity during working hours was found between shift-workers vs. non-shift-workers (p<0.01) and for shift-working nurses (median = 2.1 METs SE = 0.1) vs. non-shift-working clerical personnel (median = 1.5 METs SE = 0.07, p<0.05). Non-shift-working nurses had a significantly lower REE than the other groups (p<0.05). The proportion of fat in the diet was significantly higher (p<0.05) in the office worker group (median = 42% SE = 1.2) whereas shift-working nurses consumed significantly more carbohydrates (median = 46% SE = 1.4) than clerical staff (median = 41% SE = 1.7). Stress assessment by TICS confirmed a significantly higher level of social overload in the shift working group (p<0.05).
In this prospective cohort study shift-working had no influence on overall physical activity. Lower physical activity during working hours appears to be compensated for during off-hours. Differences in nutritional habits and stress load warrant larger scale trials to determine the effect on implicit health-associated conditions. |
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AbstractList | Among health care personnel working regular hours or rotating shifts can affect parameters of general health and nutrition. We have investigated physical activity, sleep quality, metabolic activity and stress levels in health care workers from both groups.
We prospectively recruited 46 volunteer participants from the workforce of a University Medical Department of which 23 worked in rotating shifts (all nursing) and 21 non-shift regular hours (10 nursing, 13 clerical staff). All were investigated over 7 days by multisensory accelerometer (SenseWear Bodymedia® armband) and kept a detailed food diary. Physical activity and resting energy expenditure (REE) were measured in metabolic equivalents of task (METs). Quality of sleep was assessed as Pittsburgh Sleeping Quality Index and stress load using the Trier Inventory for Chronic Stress questionnaire (TICS).
No significant differences were found for overall physical activity, steps per minute, time of exceeding the 3 METs level or sleep quality. A significant difference for physical activity during working hours was found between shift-workers vs. non-shift-workers (p<0.01) and for shift-working nurses (median = 2.1 METs SE = 0.1) vs. non-shift-working clerical personnel (median = 1.5 METs SE = 0.07, p<0.05). Non-shift-working nurses had a significantly lower REE than the other groups (p<0.05). The proportion of fat in the diet was significantly higher (p<0.05) in the office worker group (median = 42% SE = 1.2) whereas shift-working nurses consumed significantly more carbohydrates (median = 46% SE = 1.4) than clerical staff (median = 41% SE = 1.7). Stress assessment by TICS confirmed a significantly higher level of social overload in the shift working group (p<0.05).
In this prospective cohort study shift-working had no influence on overall physical activity. Lower physical activity during working hours appears to be compensated for during off-hours. Differences in nutritional habits and stress load warrant larger scale trials to determine the effect on implicit health-associated conditions. Background Among health care personnel working regular hours or rotating shifts can affect parameters of general health and nutrition. We have investigated physical activity, sleep quality, metabolic activity and stress levels in health care workers from both groups. Methods We prospectively recruited 46 volunteer participants from the workforce of a University Medical Department of which 23 worked in rotating shifts (all nursing) and 21 non-shift regular hours (10 nursing, 13 clerical staff). All were investigated over 7 days by multisensory accelerometer (SenseWear Bodymedia® armband) and kept a detailed food diary. Physical activity and resting energy expenditure (REE) were measured in metabolic equivalents of task (METs). Quality of sleep was assessed as Pittsburgh Sleeping Quality Index and stress load using the Trier Inventory for Chronic Stress questionnaire (TICS). Results No significant differences were found for overall physical activity, steps per minute, time of exceeding the 3 METs level or sleep quality. A significant difference for physical activity during working hours was found between shift-workers vs. non-shift-workers (p<0.01) and for shift-working nurses (median = 2.1 METs SE = 0.1) vs. non-shift-working clerical personnel (median = 1.5 METs SE = 0.07, p<0.05). Non-shift-working nurses had a significantly lower REE than the other groups (p<0.05). The proportion of fat in the diet was significantly higher (p<0.05) in the office worker group (median = 42% SE = 1.2) whereas shift-working nurses consumed significantly more carbohydrates (median = 46% SE = 1.4) than clerical staff (median = 41% SE = 1.7). Stress assessment by TICS confirmed a significantly higher level of social overload in the shift working group (p<0.05). Conclusion In this prospective cohort study shift-working had no influence on overall physical activity. Lower physical activity during working hours appears to be compensated for during off-hours. Differences in nutritional habits and stress load warrant larger scale trials to determine the effect on implicit health-associated conditions. Among health care personnel working regular hours or rotating shifts can affect parameters of general health and nutrition. We have investigated physical activity, sleep quality, metabolic activity and stress levels in health care workers from both groups.We prospectively recruited 46 volunteer participants from the workforce of a University Medical Department of which 23 worked in rotating shifts (all nursing) and 21 non-shift regular hours (10 nursing, 13 clerical staff). All were investigated over 7 days by multisensory accelerometer (SenseWear Bodymedia® armband) and kept a detailed food diary. Physical activity and resting energy expenditure (REE) were measured in metabolic equivalents of task (METs). Quality of sleep was assessed as Pittsburgh Sleeping Quality Index and stress load using the Trier Inventory for Chronic Stress questionnaire (TICS).No significant differences were found for overall physical activity, steps per minute, time of exceeding the 3 METs level or sleep quality. A significant difference for physical activity during working hours was found between shift-workers vs. non-shift-workers (p<0.01) and for shift-working nurses (median = 2.1 METs SE = 0.1) vs. non-shift-working clerical personnel (median = 1.5 METs SE = 0.07, p<0.05). Non-shift-working nurses had a significantly lower REE than the other groups (p<0.05). The proportion of fat in the diet was significantly higher (p<0.05) in the office worker group (median = 42% SE = 1.2) whereas shift-working nurses consumed significantly more carbohydrates (median = 46% SE = 1.4) than clerical staff (median = 41% SE = 1.7). Stress assessment by TICS confirmed a significantly higher level of social overload in the shift working group (p<0.05).In this prospective cohort study shift-working had no influence on overall physical activity. Lower physical activity during working hours appears to be compensated for during off-hours. Differences in nutritional habits and stress load warrant larger scale trials to determine the effect on implicit health-associated conditions. Background Among health care personnel working regular hours or rotating shifts can affect parameters of general health and nutrition. We have investigated physical activity, sleep quality, metabolic activity and stress levels in health care workers from both groups. Methods We prospectively recruited 46 volunteer participants from the workforce of a University Medical Department of which 23 worked in rotating shifts (all nursing) and 21 non-shift regular hours (10 nursing, 13 clerical staff). All were investigated over 7 days by multisensory accelerometer (SenseWear Bodymedia® armband) and kept a detailed food diary. Physical activity and resting energy expenditure (REE) were measured in metabolic equivalents of task (METs). Quality of sleep was assessed as Pittsburgh Sleeping Quality Index and stress load using the Trier Inventory for Chronic Stress questionnaire (TICS). Results No significant differences were found for overall physical activity, steps per minute, time of exceeding the 3 METs level or sleep quality. A significant difference for physical activity during working hours was found between shift-workers vs. non-shift-workers (p<0.01) and for shift-working nurses (median = 2.1 METs SE = 0.1) vs. non-shift-working clerical personnel (median = 1.5 METs SE = 0.07, p<0.05). Non-shift-working nurses had a significantly lower REE than the other groups (p<0.05). The proportion of fat in the diet was significantly higher (p<0.05) in the office worker group (median = 42% SE = 1.2) whereas shift-working nurses consumed significantly more carbohydrates (median = 46% SE = 1.4) than clerical staff (median = 41% SE = 1.7). Stress assessment by TICS confirmed a significantly higher level of social overload in the shift working group (p<0.05). Conclusion In this prospective cohort study shift-working had no influence on overall physical activity. Lower physical activity during working hours appears to be compensated for during off-hours. Differences in nutritional habits and stress load warrant larger scale trials to determine the effect on implicit health-associated conditions. BACKGROUNDAmong health care personnel working regular hours or rotating shifts can affect parameters of general health and nutrition. We have investigated physical activity, sleep quality, metabolic activity and stress levels in health care workers from both groups.METHODSWe prospectively recruited 46 volunteer participants from the workforce of a University Medical Department of which 23 worked in rotating shifts (all nursing) and 21 non-shift regular hours (10 nursing, 13 clerical staff). All were investigated over 7 days by multisensory accelerometer (SenseWear Bodymedia® armband) and kept a detailed food diary. Physical activity and resting energy expenditure (REE) were measured in metabolic equivalents of task (METs). Quality of sleep was assessed as Pittsburgh Sleeping Quality Index and stress load using the Trier Inventory for Chronic Stress questionnaire (TICS).RESULTSNo significant differences were found for overall physical activity, steps per minute, time of exceeding the 3 METs level or sleep quality. A significant difference for physical activity during working hours was found between shift-workers vs. non-shift-workers (p<0.01) and for shift-working nurses (median = 2.1 METs SE = 0.1) vs. non-shift-working clerical personnel (median = 1.5 METs SE = 0.07, p<0.05). Non-shift-working nurses had a significantly lower REE than the other groups (p<0.05). The proportion of fat in the diet was significantly higher (p<0.05) in the office worker group (median = 42% SE = 1.2) whereas shift-working nurses consumed significantly more carbohydrates (median = 46% SE = 1.4) than clerical staff (median = 41% SE = 1.7). Stress assessment by TICS confirmed a significantly higher level of social overload in the shift working group (p<0.05).CONCLUSIONIn this prospective cohort study shift-working had no influence on overall physical activity. Lower physical activity during working hours appears to be compensated for during off-hours. Differences in nutritional habits and stress load warrant larger scale trials to determine the effect on implicit health-associated conditions. Background Among health care personnel working regular hours or rotating shifts can affect parameters of general health and nutrition. We have investigated physical activity, sleep quality, metabolic activity and stress levels in health care workers from both groups. Methods We prospectively recruited 46 volunteer participants from the workforce of a University Medical Department of which 23 worked in rotating shifts (all nursing) and 21 non-shift regular hours (10 nursing, 13 clerical staff). All were investigated over 7 days by multisensory accelerometer (SenseWear Bodymedia registered armband) and kept a detailed food diary. Physical activity and resting energy expenditure (REE) were measured in metabolic equivalents of task (METs). Quality of sleep was assessed as Pittsburgh Sleeping Quality Index and stress load using the Trier Inventory for Chronic Stress questionnaire (TICS). Results No significant differences were found for overall physical activity, steps per minute, time of exceeding the 3 METs level or sleep quality. A significant difference for physical activity during working hours was found between shift-workers vs. non-shift-workers (p<0.01) and for shift-working nurses (median = 2.1 METs SE = 0.1) vs. non-shift-working clerical personnel (median = 1.5 METs SE = 0.07, p<0.05). Non-shift-working nurses had a significantly lower REE than the other groups (p<0.05). The proportion of fat in the diet was significantly higher (p<0.05) in the office worker group (median = 42% SE = 1.2) whereas shift-working nurses consumed significantly more carbohydrates (median = 46% SE = 1.4) than clerical staff (median = 41% SE = 1.7). Stress assessment by TICS confirmed a significantly higher level of social overload in the shift working group (p<0.05). Conclusion In this prospective cohort study shift-working had no influence on overall physical activity. Lower physical activity during working hours appears to be compensated for during off-hours. Differences in nutritional habits and stress load warrant larger scale trials to determine the effect on implicit health-associated conditions. |
Audience | Academic |
Author | Roskoden, Frederick Charles Vogt, Lena Johanna Lerch, Markus M Aghdassi, Ali A Gärtner, Simone Steveling, Antje Krüger, Janine Hannich, Hans Joachim |
AuthorAffiliation | 1 Department of Medicine A, University Medicine Greifswald, Greifswald, Germany 2 Institute of Medical Psychology, University Medicine Greifswald, Greifswald, Germany Old Dominion University, UNITED STATES |
AuthorAffiliation_xml | – name: Old Dominion University, UNITED STATES – name: 1 Department of Medicine A, University Medicine Greifswald, Greifswald, Germany – name: 2 Institute of Medical Psychology, University Medicine Greifswald, Greifswald, Germany |
Author_xml | – sequence: 1 givenname: Frederick Charles orcidid: 0000-0002-6002-400X surname: Roskoden fullname: Roskoden, Frederick Charles organization: Department of Medicine A, University Medicine Greifswald, Greifswald, Germany – sequence: 2 givenname: Janine surname: Krüger fullname: Krüger, Janine organization: Department of Medicine A, University Medicine Greifswald, Greifswald, Germany – sequence: 3 givenname: Lena Johanna surname: Vogt fullname: Vogt, Lena Johanna organization: Department of Medicine A, University Medicine Greifswald, Greifswald, Germany – sequence: 4 givenname: Simone surname: Gärtner fullname: Gärtner, Simone organization: Department of Medicine A, University Medicine Greifswald, Greifswald, Germany – sequence: 5 givenname: Hans Joachim surname: Hannich fullname: Hannich, Hans Joachim organization: Institute of Medical Psychology, University Medicine Greifswald, Greifswald, Germany – sequence: 6 givenname: Antje surname: Steveling fullname: Steveling, Antje organization: Department of Medicine A, University Medicine Greifswald, Greifswald, Germany – sequence: 7 givenname: Markus M surname: Lerch fullname: Lerch, Markus M organization: Department of Medicine A, University Medicine Greifswald, Greifswald, Germany – sequence: 8 givenname: Ali A surname: Aghdassi fullname: Aghdassi, Ali A organization: Department of Medicine A, University Medicine Greifswald, Greifswald, Germany |
BackLink | https://www.ncbi.nlm.nih.gov/pubmed/28081231$$D View this record in MEDLINE/PubMed |
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Cites_doi | 10.1093/sleep/30.4.519 10.1016/j.jclinepi.2007.08.012 10.1016/j.ypmed.2015.04.013 10.1097/00005768-200212000-00027 10.5271/sjweh.2898 10.1249/mss.0b013e3180616b27 10.1038/sj.ejcn.1601292 10.1017/S1368980011001650 10.1123/jpah.3.1.1 10.1186/1471-2458-11-501 10.1136/oemed-2014-102292 10.1249/mss.0b013e31815a51b3 10.1007/s11325-012-0662-x 10.1515/REVEH.2000.15.4.359 10.1371/journal.pone.0004745 10.1093/ije/dyn360 10.1097/01.ede.0000190539.03500.c1 10.1093/occmed/kqr001 10.1371/journal.pone.0063289 10.1016/0165-1781(89)90047-4 10.1093/occmed/kqg048 10.1016/0026-0495(88)90048-0 10.1111/jpi.12137 10.1093/ajcn/73.1.61 10.1590/S0080-62342013000200028 10.1136/oem.58.11.747 10.3109/07420528.2013.796966 10.1093/occmed/kqv068 10.1007/BF01296025 10.1093/aje/kwt292 10.1126/science.847460 10.1155/2015/826249 10.1249/MSS.0b013e31827563ba 10.1136/oem.2009.046797 10.1097/00005768-200009001-00009 10.1249/MSS.0b013e31819b3533 10.1249/01.MSS.0000128144.91337.38 10.1093/ajcn/40.1.168 10.1016/j.ypmed.2015.03.025 10.3109/07420528.2011.645752 10.1186/1471-2288-12-42 |
ContentType | Journal Article |
Copyright | COPYRIGHT 2017 Public Library of Science 2017 Roskoden et al. This is an open access article distributed under the terms of the Creative Commons Attribution License: http://creativecommons.org/licenses/by/4.0/ (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. 2017 Roskoden et al 2017 Roskoden et al |
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References | 19737731 - Occup Environ Med. 2010 Jan;67(1):54-7 25895842 - Prev Med. 2015 Jul;76:43-7 25460142 - J Phys Act Health. 2015 Sep;12(9):1229-37 19270740 - PLoS One. 2009;4(3):e4745 11124751 - Am J Clin Nutr. 2001 Jan;73(1):61-7 25913420 - Prev Med. 2015 Jul;76:92-102 25892993 - Int J Endocrinol. 2015;2015:826249 18091006 - Med Sci Sports Exerc. 2008 Jan;40(1):181-8 22324559 - Chronobiol Int. 2012 Mar;29(2):211-9 23964589 - Chronobiol Int. 2013 Oct;30(8):1032-41 16357603 - Epidemiology. 2006 Jan;17(1):108-11 248266 - Am J Nurs. 1978 Jun;78(6):1039-40 19129266 - Int J Epidemiol. 2009 Jun;38(3):848-54 25261528 - Occup Environ Med. 2015 Feb;72(2):100-7 17762377 - Med Sci Sports Exerc. 2007 Aug;39(8):1423-34 11199246 - Rev Environ Health. 2000 Oct-Dec;15(4):359-72 3367789 - Metabolism. 1988 May;37(5):467-72 20143038 - Scand J Work Environ Health. 2010 Mar;36(2):150-62 21355031 - Occup Med (Lond). 2011 Mar;61(2):78-89 10993420 - Med Sci Sports Exerc. 2000 Sep;32(9 Suppl):S498-504 6741850 - Am J Clin Nutr. 1984 Jul;40(1):168-82 22318784 - Sleep Breath. 2013 Mar;17(1):139-46 21806861 - Public Health Nutr. 2011 Dec;14 (12 ):2110-6 11319057 - Occup Med. 2001 Apr-Jun;16(2):359-66 23743917 - Rev Esc Enferm USP. 2013 Apr;47(2):471-6 24318278 - Am J Epidemiol. 2014 Feb 1;179(3):323-34 17520797 - Sleep. 2007 Apr;30(4):519-29 3568932 - Dig Dis Sci. 1987 May;32(5):449-53 19516162 - Med Sci Sports Exerc. 2009 Jul;41(7):1392-402 2748771 - Psychiatry Res. 1989 May;28(2):193-213 12471314 - Med Sci Sports Exerc. 2002 Dec;34(12):2045-51 18359190 - J Clin Epidemiol. 2008 Jul;61(7):646-53 21703033 - BMC Public Health. 2011 Jun 27;11:501 15179178 - Med Sci Sports Exerc. 2004 Jun;36(6):1063-9 23034646 - Med Sci Sports Exerc. 2013 Mar;45(3):481-9 22463771 - BMC Med Res Methodol. 2012 Apr 01;12:42 23675472 - PLoS One. 2013 May 10;8(5):e63289 12637594 - Occup Med (Lond). 2003 Mar;53(2):103-8 11600731 - Occup Environ Med. 2001 Nov;58(11):747-52 11857043 - Eur J Clin Nutr. 2002 Feb;56(2):105-13 26058683 - Occup Med (Lond). 2015 Aug;65(6):477-84 847460 - Science. 1977 Apr 8;196(4286):129-36 24654916 - J Pineal Res. 2014 May;56(4):371-81 J Geiger-Brown (ref15) 2012; 29 P Barbadoro (ref43) 2013; 8 J Cipolla-Neto (ref36) 2014; 56 CM Lee (ref20) 2008; 61 WJ Brown (ref34) 2006; 3 A Lowden (ref41) 2010; 36 T Ulas (ref30) 2013; 47 GL Engel (ref18) 1977; 196 DM O'Driscoll (ref25) 2013; 17 ref19 B Karlsson (ref4) 2001; 58 A Knutsson (ref35) 2000; 15 J Baillargeon (ref17) 2001; 16 TI Kinnunen (ref33) 2011; 11 ML Fruin (ref21) 2004; 36 C Tudor-Locke (ref31) 2002; 34 D De Bacquer (ref5) 2009; 38 AM Roza (ref28) 1984; 40 MP Buman (ref9) 2014; 179 CF Belanger (ref14) 1978; 78 LA Brocklebank (ref8) 2015; 76 GD Foster (ref38) 1988; 37 VK Knudsen (ref44) 2011; 14 T Morgenthaler (ref24) 2007; 30 K Petrowski (ref39) 2012; 12 S Høidrup (ref45) 2002; 56 TT Fung (ref42) 2001; 73 MA Ulhôa (ref3) 2015; 2015 K Segawa (ref6) 1987; 32 ES Schernhammer (ref11) 2006; 17 C Ramin (ref29) 2015; 72 ref27 A Pietroiusti (ref1) 2010; 67 MC Mota (ref7) 2013; 30 JD Reece (ref47) 2015; 12 XS Wang (ref12) 2011; 61 TJ Harris (ref32) 2009; 41 T Scheers (ref10) 2013; 45 PD Loprinzi (ref13) 2015; 76 BE Ainsworth (ref22) 2000; 32 R Seibt (ref16) 2015; 65 WL Haskell (ref23) 2007; 39 A Knutsson (ref2) 2003; 53 RP Troiano (ref46) 2008; 40 ref40 KR Westerterp (ref37) 2009; 4 DJ Buysse (ref26) 1989; 28 |
References_xml | – volume: 30 start-page: 519 issue: 4 year: 2007 ident: ref24 article-title: Practice parameters for the use of actigraphy in the assessment of sleep and sleep disorders: an update for 2007 publication-title: Sleep doi: 10.1093/sleep/30.4.519 contributor: fullname: T Morgenthaler – volume: 61 start-page: 646 issue: 7 year: 2008 ident: ref20 article-title: Indices of abdominal obesity are better discriminators of cardiovascular risk factors than BMI: a meta-analysis publication-title: J Clin Epidemiol doi: 10.1016/j.jclinepi.2007.08.012 contributor: fullname: CM Lee – volume: 76 start-page: 92 year: 2015 ident: ref8 article-title: Accelerometer-measured sedentary time and cardiometabolic biomarkers: A systematic review publication-title: Prev Med doi: 10.1016/j.ypmed.2015.04.013 contributor: fullname: LA Brocklebank – volume: 34 start-page: 2045 issue: 12 year: 2002 ident: ref31 article-title: Comparison of pedometer and accelerometer measures of free-living physical activity publication-title: Med Sci Sports Exerc doi: 10.1097/00005768-200212000-00027 contributor: fullname: C Tudor-Locke – volume: 36 start-page: 150 issue: 2 year: 2010 ident: ref41 article-title: Eating and shift work—effects on habits, metabolism and performance publication-title: Scand J Work Environ Health doi: 10.5271/sjweh.2898 contributor: fullname: A Lowden – volume: 39 start-page: 1423 issue: 8 year: 2007 ident: ref23 article-title: Physical activity and public health: updated recommendation for adults from the American College of Sports Medicine and the American Heart Association publication-title: Med Sci Sports Exerc doi: 10.1249/mss.0b013e3180616b27 contributor: fullname: WL Haskell – volume: 56 start-page: 105 issue: 2 year: 2002 ident: ref45 article-title: Assessment of habitual energy and macronutrient intake in adults: comparison of a seven day food record with a dietary history interview publication-title: Eur J Clin Nutr doi: 10.1038/sj.ejcn.1601292 contributor: fullname: S Høidrup – ident: ref27 – volume: 14 start-page: 2110 issue: 12 year: 2011 ident: ref44 article-title: Relative validity of the pre-coded food diary used in the Danish National Survey of Diet and Physical Activity publication-title: Public Health Nutr doi: 10.1017/S1368980011001650 contributor: fullname: VK Knudsen – volume: 3 start-page: 1 issue: 1 year: 2006 ident: ref34 article-title: 10,000 Steps Rockhampton: evaluation of a whole community approach to improving population levels of physical activity publication-title: J Phys Act Health doi: 10.1123/jpah.3.1.1 contributor: fullname: WJ Brown – volume: 11 start-page: 501 year: 2011 ident: ref33 article-title: Agreement between pedometer and accelerometer in measuring physical activity in overweight and obese pregnant women publication-title: BMC Public Health doi: 10.1186/1471-2458-11-501 contributor: fullname: TI Kinnunen – volume: 16 start-page: 359 issue: 2 year: 2001 ident: ref17 article-title: Characteristics of the healthy worker effect publication-title: Occup Med contributor: fullname: J Baillargeon – volume: 72 start-page: 100 issue: 2 year: 2015 ident: ref29 article-title: Night shift work at specific age ranges and chronic disease risk factors publication-title: Occup Environ Med doi: 10.1136/oemed-2014-102292 contributor: fullname: C Ramin – volume: 40 start-page: 181 issue: 1 year: 2008 ident: ref46 article-title: Physical activity in the United States measured by accelerometer publication-title: Med Sci Sports Exerc doi: 10.1249/mss.0b013e31815a51b3 contributor: fullname: RP Troiano – ident: ref19 – volume: 17 start-page: 139 issue: 1 year: 2013 ident: ref25 article-title: Energy expenditure in obstructive sleep apnea: validation of a multiple physiological sensor for determination of sleep and wake publication-title: Sleep Breath doi: 10.1007/s11325-012-0662-x contributor: fullname: DM O'Driscoll – volume: 15 start-page: 359 issue: 4 year: 2000 ident: ref35 article-title: Shiftwork and cardiovascular disease: review of disease mechanisms publication-title: Rev Environ Health doi: 10.1515/REVEH.2000.15.4.359 contributor: fullname: A Knutsson – volume: 4 start-page: e4745 issue: 3 year: 2009 ident: ref37 article-title: Physically active lifestyle does not decrease the risk of fattening publication-title: PLoS One doi: 10.1371/journal.pone.0004745 contributor: fullname: KR Westerterp – volume: 38 start-page: 848 issue: 3 year: 2009 ident: ref5 article-title: Rotating shift work and the metabolic syndrome: a prospective study publication-title: Int J Epidemiol doi: 10.1093/ije/dyn360 contributor: fullname: D De Bacquer – volume: 17 start-page: 108 issue: 1 year: 2006 ident: ref11 article-title: Night work and risk of breast cancer publication-title: Epidemiology doi: 10.1097/01.ede.0000190539.03500.c1 contributor: fullname: ES Schernhammer – volume: 61 start-page: 78 issue: 2 year: 2011 ident: ref12 article-title: Shift work and chronic disease: the epidemiological evidence publication-title: Occup Med (Lond) doi: 10.1093/occmed/kqr001 contributor: fullname: XS Wang – volume: 8 start-page: e63289 issue: 5 year: 2013 ident: ref43 article-title: Rotating shift-work as an independent risk factor for overweight Italian workers: a cross-sectional study publication-title: PLoS One doi: 10.1371/journal.pone.0063289 contributor: fullname: P Barbadoro – volume: 28 start-page: 193 issue: 2 year: 1989 ident: ref26 article-title: The Pittsburgh Sleep Quality Index: a new instrument for psychiatric practice and research publication-title: Psychiatry Res doi: 10.1016/0165-1781(89)90047-4 contributor: fullname: DJ Buysse – volume: 53 start-page: 103 issue: 2 year: 2003 ident: ref2 article-title: Health disorders of shift workers publication-title: Occup Med (Lond) doi: 10.1093/occmed/kqg048 contributor: fullname: A Knutsson – volume: 37 start-page: 467 issue: 5 year: 1988 ident: ref38 article-title: Resting energy expenditure, body composition, and excess weight in the obese publication-title: Metabolism doi: 10.1016/0026-0495(88)90048-0 contributor: fullname: GD Foster – volume: 56 start-page: 371 issue: 4 year: 2014 ident: ref36 article-title: Melatonin, energy metabolism, and obesity: a review publication-title: J Pineal Res doi: 10.1111/jpi.12137 contributor: fullname: J Cipolla-Neto – volume: 73 start-page: 61 issue: 1 year: 2001 ident: ref42 article-title: Association between dietary patterns and plasma biomarkers of obesity and cardiovascular disease risk publication-title: Am J Clin Nutr doi: 10.1093/ajcn/73.1.61 contributor: fullname: TT Fung – volume: 12 start-page: 1229 issue: 9 year: 2015 ident: ref47 article-title: Validation of the SenseWear™ Armband as a Measure of Sedentary Behavior and Light Activity contributor: fullname: JD Reece – volume: 47 start-page: 471 issue: 2 year: 2013 ident: ref30 article-title: Evaluation of oxidative stress parameters and metabolic activities of nurses working day and night shifts publication-title: Rev Esc Enferm USP doi: 10.1590/S0080-62342013000200028 contributor: fullname: T Ulas – ident: ref40 – volume: 58 start-page: 747 issue: 11 year: 2001 ident: ref4 article-title: Is there an association between shift work and having a metabolic syndrome? Results from a population based study of 27,485 people publication-title: Occup Environ Med doi: 10.1136/oem.58.11.747 contributor: fullname: B Karlsson – volume: 30 start-page: 1032 issue: 8 year: 2013 ident: ref7 article-title: Dietary patterns, metabolic markers and subjective sleep measures in resident physicians publication-title: Chronobiol Int doi: 10.3109/07420528.2013.796966 contributor: fullname: MC Mota – volume: 65 start-page: 477 issue: 6 year: 2015 ident: ref16 article-title: Nutrition and health in hotel staff on different shift patterns publication-title: Occup Med (Lond) doi: 10.1093/occmed/kqv068 contributor: fullname: R Seibt – volume: 32 start-page: 449 issue: 5 year: 1987 ident: ref6 article-title: Peptic ulcer is prevalent among shift workers publication-title: Dig Dis Sci doi: 10.1007/BF01296025 contributor: fullname: K Segawa – volume: 179 start-page: 323 issue: 3 year: 2014 ident: ref9 article-title: Reallocating time to sleep, sedentary behaviors, or active behaviors: associations with cardiovascular disease risk biomarkers, NHANES 2005–2006 publication-title: Am J Epidemiol doi: 10.1093/aje/kwt292 contributor: fullname: MP Buman – volume: 196 start-page: 129 issue: 4286 year: 1977 ident: ref18 article-title: The need for a new medical model: a challenge for biomedicine publication-title: Science doi: 10.1126/science.847460 contributor: fullname: GL Engel – volume: 2015 start-page: 826249 year: 2015 ident: ref3 article-title: Shift work and endocrine disorders publication-title: Int J Endocrinol doi: 10.1155/2015/826249 contributor: fullname: MA Ulhôa – volume: 45 start-page: 481 issue: 3 year: 2013 ident: ref10 article-title: SenseWear-determined physical activity and sedentary behavior and metabolic syndrome publication-title: Med Sci Sports Exerc doi: 10.1249/MSS.0b013e31827563ba contributor: fullname: T Scheers – volume: 67 start-page: 54 issue: 1 year: 2010 ident: ref1 article-title: Incidence of metabolic syndrome among night-shift healthcare workers publication-title: Occup Environ Med doi: 10.1136/oem.2009.046797 contributor: fullname: A Pietroiusti – volume: 32 start-page: S498 year: 2000 ident: ref22 article-title: Compendium of physical activities: an update of activity codes and MET intensities publication-title: Med Sci Sports Exerc doi: 10.1097/00005768-200009001-00009 contributor: fullname: BE Ainsworth – volume: 78 start-page: 1039 issue: 6 year: 1978 ident: ref14 article-title: The nurses' health study publication-title: Am J Nurs contributor: fullname: CF Belanger – volume: 41 start-page: 1392 issue: 7 year: 2009 ident: ref32 article-title: A comparison of questionnaire, accelerometer, and pedometer: measures in older people publication-title: Med Sci Sports Exerc doi: 10.1249/MSS.0b013e31819b3533 contributor: fullname: TJ Harris – volume: 36 start-page: 1063 issue: 6 year: 2004 ident: ref21 article-title: Validity of a multi-sensor armband in estimating rest and exercise energy expenditure publication-title: Med Sci Sports Exerc doi: 10.1249/01.MSS.0000128144.91337.38 contributor: fullname: ML Fruin – volume: 40 start-page: 168 issue: 1 year: 1984 ident: ref28 article-title: The Harris Benedict equation reevaluated: resting energy requirements and the body cell mass publication-title: Am J Clin Nutr doi: 10.1093/ajcn/40.1.168 contributor: fullname: AM Roza – volume: 76 start-page: 43 year: 2015 ident: ref13 article-title: The effects of shift work on free-living physical activity and sedentary behavior publication-title: Prev Med doi: 10.1016/j.ypmed.2015.03.025 contributor: fullname: PD Loprinzi – volume: 29 start-page: 211 issue: 2 year: 2012 ident: ref15 article-title: Sleep, sleepiness, fatigue, and performance of 12-hour-shift nurses publication-title: Chronobiol Int doi: 10.3109/07420528.2011.645752 contributor: fullname: J Geiger-Brown – volume: 12 start-page: 42 year: 2012 ident: ref39 article-title: Factor structure and psychometric properties of the trier inventory for chronic stress (TICS) in a representative German sample publication-title: BMC Med Res Methodol doi: 10.1186/1471-2288-12-42 contributor: fullname: K Petrowski |
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Snippet | Among health care personnel working regular hours or rotating shifts can affect parameters of general health and nutrition. We have investigated physical... Background Among health care personnel working regular hours or rotating shifts can affect parameters of general health and nutrition. We have investigated... BACKGROUNDAmong health care personnel working regular hours or rotating shifts can affect parameters of general health and nutrition. We have investigated... Background Among health care personnel working regular hours or rotating shifts can affect parameters of general health and nutrition. We have investigated... |
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SubjectTerms | Accelerometers Accelerometry Adult Biology and Life Sciences Carbohydrates Cardiovascular disease Cohort Studies Confidence intervals Disease susceptibility Energy Energy expenditure Energy measurement Energy Metabolism Exercise Expenditures Female Habits Health aspects Health care Health Personnel - psychology Health Personnel - statistics & numerical data Humans Male Medical personnel Medical research Medicine Medicine and Health Sciences Melatonin Metabolic syndrome Nurses Nursing Nutrient deficiency Nutrition Nutritional Status Obesity Occupational health People and Places Personnel Personnel Staffing and Scheduling Physical activity Prospective Studies Psychological aspects Public health Quality assessment Quality of life Shift work Sleep Sleep - physiology Stress Stress, Psychological Stresses Studies Surveys and Questionnaires Work Schedule Tolerance Workers Working conditions Working hours |
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Title | Physical Activity, Energy Expenditure, Nutritional Habits, Quality of Sleep and Stress Levels in Shift-Working Health Care Personnel |
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