Downloaded from http://bmjopen.bmj.com/ on June 17, 2017 - Published by group.bmj.com PEER REVIEW HISTORY BMJ Open publishes all reviews undertaken for accepted manuscripts. Reviewers are asked to complete a checklist review form (http://bmjopen.bmj.com/site/about/resources/checklist.pdf) and are provided with free text boxes to elaborate on their assessment. These free text comments are reproduced below. ARTICLE DETAILS TITLE (PROVISIONAL) AUTHORS Accuracy of a step counter during treadmill and daily life walking by healthy adults and cardiac patients Thorup, Charlotte; Andreasen, Jan; Sørensen, Erik; Gronkjaer, Mette; Dinesen, Birthe; Hansen, John VERSION 1 - REVIEW REVIEWER REVIEW RETURNED GENERAL COMMENTS Muaddi Alharbi Charles Perkins Centre, University of Sydney, Sydney, Australia 04-May-2016 Introduction – There is a need to explain the benefits of physical activity for healthy adults, not only for cardiac patients. Introduction – Line 38 p. 4: you state: One of Fitbit‟s step counters, the Fitbit Zip (Zip) (FITBIT, INC. 405 Howard StreetSan Francisco, Ca 94105) is small (35.6 Å~ 28.9 Å~ 9.6 mm) and has a user account connected to a computer or mobile application. The user account displays steps, active minutes, distance and energy expenditure over time, providing the user with knowledge of their own activity. Please move this paragraph to the Methods section. Please see my comment below in the methods section. Introduction – Line 38 p. 5: you state “Researchers have agreed on an acceptable level of inaccuracy at 3%". This sentence may be confusing or unclear to the reader. It would be useful to clarify that there is no universally accepted definition of acceptable degree of error for physical activity wearable devices. Some studies recommend that an acceptable measurement error under controlled conditions or for research purposes is within ±3% (Schneider, Crouter, & Bassett, 2004; Tudor-Locke et al., 2006) and under freeliving conditions is within ±10% (Schneider et al., 2004; Tudor-Locke et al., 2006). Other studies recommend that mean errors of less than 20% have acceptable validity for clinical purposes (Schneider, Crouter, Lukajic, & Bassett, 2003). Introduction – Pleases provide scientific and clinical background for the reference standard and the rationale for choosing the reference standard. Aims – Can you please re-state your aims clearly. Methods – Line 38 p. 5: you state: The descriptive statistics for the sample populationare provided in Table 1. The gender distribution was equal with ten males (mean age 34 ± 12.5) and ten females (mean age 44 ± 13.95). The overall mean age was 39±13.79, and the mean BMI was 26± 6. Also line 38 p. 5: you state: The descriptive statistics of the patients are provided in Table 2. The overall mean age was 67±10.03, and the mean BMI was 28±2.69. Downloaded from http://bmjopen.bmj.com/ on June 17, 2017 - Published by group.bmj.com There were no significant differences between the two treatment groups in either age or BMI. Please create a subheading in the Results section titled “Sample characteristics” and move these paragraphs under this subheading. Methods – Table 1 and Table 2. Please combined them in one table and move it from the Methods section to the Results section. Please also provide clinical characteristics of cardiac patients either in the text or in the Table. This may include, but not be limited to, cardiovascular diagnosis, comorbidities, and medications that may influence outcome measures. Methods – There is a need to create a subheading titled “Measures” and briefly describe the measures (i.e. Fitbit Zip, treadmill and the Shimmer) used in your study. Also, briefly report if there is evidence as to their validity and reliability. Results – The data in Table 4 are exactly the same as in Table 3. Please provide the actual data for Table 4. Discussion – There is a need for clear guidance according to the study outcomes. Thus, I expected this article to give clear messages and practical information for Fitbit and to highlight the different validity criteria between the tested and criterion PA measures for clinical purposes (e.g. <20%) compared to research purposes (within ± 3%). Discussion –You might like to consider including the paper by Alharbi et al. 2016; Validation of Fitbit-Flex as a measure of freeliving physical activity in a community-based phase III cardiac rehabilitation population in your list of references and contrasting your results with those reported in this particular study. Please revise and comment. Discussion and conclusion – There is need to consider the validity of Fitbit not only for to research purposes (within ± 3%) but also its validity for clinical purposes (i.e. <20%) Figures – It is quite difficult to visualise the intended information. Please use dashed horizontal lines to illustrate the limits of agreement and a solid horizontal line to illustrate the mean difference. General comment – There is no justification to combine two studies [„Real-life study‟ and „Treadmill study‟] in one manuscript. You should separate them. General comment – There is a need to report in Tables 3 and 4 the mean ± SD for the Fitbit and Shimmer in order to verify your percent relative error calculation. General comment – The abbreviation TP24h is used for the first time on line 34, p. 9. Please write out in full. General comment – The manuscript may need proofreading to improve its clarity. REVIEWER REVIEW RETURNED Alexander HK Montoye Ball State University, United States of America 11-May-2016 GENERAL COMMENTS Major comments: - Page 4 Line 16-18. The authors attribute the lack of use of physical Downloaded from http://bmjopen.bmj.com/ on June 17, 2017 - Published by group.bmj.com activity monitors to limited validity and reliability studies. Their sentence is a bit too strongly worded. These monitors are heavily used, at least by the general population, and there are numerous recent studies evaluating accuracy of these devices for different activities and in different populations. - The primary purpose of this study seems to be evaluating accuracy of the Zip in a clinical population. However, the healthy individuals chosen for the lab protocol were much younger than the clinical population. Why did the authors decide not to age-match the healthy sample to the clinical sample? Age-matching may have given better confidence that the results in the healthy individuals would translate to the clinical population. Moreover, the gender distribution of the clinical population is not given (please add to Methods), but it is likely that it is predominately male. Gender-matching would have further given generalizability to the results. The authors should consider addressing these as limitations in the Discussion section. - Page 7 line 26: Please don‟t use the word “proven”. “shown” would be more appropriate. Also, in what population, setting (lab vs. freeliving) and activities was this validated for? Please provide more information. - Page 8 line 13-18: How does a 24-hour assessment take 1-10 days? Please provide more detail on why some participants wore the monitor so much longer than others when it was only supposed to be a 24-hour protocol. Same comment for home activity, only taking 24-hours of 4 weeks. How was the day chosen? What were the criteria for choosing this day? - Page 8 line 36-40: Why was steps/min from the Zip taken? Need to state what the purpose of doing this was rather than just total steps. Same for Raw Z-gyro data from Shimmer. - Statistical analysis section: Why were averages taken for the Zips? In the real-world, no one would use 2 devices and average the data together to get their physical activity level. Accuracy should be assessed using individual Zip monitors instead of averaged data, especially since the real-life study did not do averaging. - Page 10 lines 26-28: What is “unacceptably high deviation”? need to define what the threshold is for high deviation. - Page 11 Table 3 and 4. First of all, Tables 3 and 4 are identical, which the reviewer believes must be an error. Also, how did the authors match speeds in the real-life to those that were used in the treadmill study? This is very unclear. Additionally, how much data were available for each speed? The reviewer has difficulty believing that there was very much time that cardiac patients spent at 6.1 km/hr. - Discussion is very short and lacks detail on study findings and implications. More detail is needed. - Page 14 lines 11-18: The fact that the Shimmer likely shifted is very concerning considering that it is the criterion measure for the study. More detail is needed to discuss why we should trust this as a criterion measure. Downloaded from http://bmjopen.bmj.com/ on June 17, 2017 - Published by group.bmj.com Minor comments: - Page 5 Line 38-41 and Table 1. Be consistent with number of places past the decimal point for your means and SDs. - Page 7 line 11: change to “four Zips on elastic belts” - Page 7 line 15: change to “triaxial” from three axial - Page 7 line 18: can say that the formulas are proprietary since no one except the company knows them - Page 7 line 40: Please list out the speeds so that the study could be replicated. - Figure 3: “Relative” spelled incorrectly - Page 12 line 28-29: “Tudor-Locke” spelled incorrectly - Page 14 line 4: Validity, not reliability REVIEWER REVIEW RETURNED GENERAL COMMENTS Christopher Barr Flinders University Australia 26-May-2016 With the prevalence of these devices, this type of study is important to ensure that they are not used in situations where they underreport steps and can become demotivational in the rehabilitaiton setting. The paper is worth while, however I have a few concerns, listed below. The introduction sets the scene well for the study. In the methods: Table 1 is mostly a replication of the text, and table 2 could also be removed if a little more information is added to the text. Alternatively, the text could be shortened and tables 1 and 2 combined For the purposes of assessing error, the results of the two fitbits worn were averaged. Can the authors justify this? In real life a person would only wear one fitbit, so if they are attempting to discuss the accuracy of the fitbit in real life then it would make sense to report the accuracy of a single device. When assessing the walking speed in the real life situation, what is the estimated error in walking speed calculation? Within this calculation there appears to be an assumption of step length based on hight, which may not hold true for slow walking populations such as those with cardiac disease. It is also unclear if walking was evident in the full 3 minute sections, or just within the 3 minutes. Inactivity at the beginning or end of the 3 minute period would also affect the speed estimation. Much of the walking activity, especially around the home, will include stops within a 3 minute period. In a few places in the manuscript, notably the study limitations and the discussion, the authors state that accuracy of the fitbit zip at Downloaded from http://bmjopen.bmj.com/ on June 17, 2017 - Published by group.bmj.com different speeds / body locations is unknown. The accuracy of the Zip has been tested at different speeds, locations, and cadence in the paper by Singh et al. Singh, A. K., Farmer, C., Van Den Berg, M. L., Killington, M., & Barr, C. J. (2015). Accuracy of the FitBit at walking speeds and cadences relevant to clinical rehabilitation populations. Disability and Health Journal. The discussion on page 13 mentions patietns with chronic heart failure had a shorter step length. This can impact on the accuracy of the fitbit in the study population and should be acknowledged. VERSION 1 – AUTHOR RESPONSE Reviewer 1: Muaddi Alharbi 2 1Introduction – Line 38 p. 4: you state: One of Fitbit‟s step counters, the Fitbit Zip (Zip) (FITBIT, INC. 405 Howard StreetSan Francisco, Ca 94105) is small (35.6 Å~ 28.9 Å~ 9.6 mm) and has a user account connected to a computer or mobile application. The user account displays steps, active minutes, distance and energy expenditure over time, providing the user with knowledge of their own activity. Please move this paragraph to the Methods section. Please see my comment below in the methods section. Answer: Thank you for this practical remark, this sentence is now placed at the methods section (line 13 p. 6). 3 Introduction – Line 38 p. 5: you state “Researchers have agreed on an acceptable level of inaccuracy at 3%". This sentence may be confusing or unclear to the reader. It would be useful to clarify that there is no universally accepted definition of acceptable degree of error for physical activity wearable devices. Some studies recommend that an acceptable measurement error under controlled conditions or for research purposes is within ±3% (Schneider, Crouter, & Bassett, 2004; Tudor-Locke et al., 2006) and under free-living conditions is within ±10% (Schneider et al., 2004; Tudor-Locke et al., 2006). Other studies recommend that mean errors of less than 20% have acceptable validity for clinical purposes (Schneider, Crouter, Lukajic, & Bassett, 2003). Answer: Thank you for this helpful remark, clarification is now done (Line 23 p. 4 – line 11 p. 5). 4 Introduction – Pleases provide scientific and clinical background for the reference standard and the rationale for choosing the reference standard. Answer: Correction is made (Line 23 p. 4 – line 11 p. 5). 5 Aims – Can you please re-state your aims clearly? Answer: Clarification is now done and a hypothesis for the real life study is set (Line 23 p. 4 – line 11 p. 5). 6 Methods – Line 38 p. 5: you state: The descriptive statistics for the sample population are provided in Table 1. The gender distribution was equal with ten males (mean age 34 ± 12.5) and ten females (mean age 44 ± 13.95). The overall mean age was 39±13.79, and the mean BMI was 26± 6. Also line 38 p. 5: you state: The descriptive statistics of the patients are provided in Table 2. The overall mean age was 67±10.03, and the mean BMI was 28±2.69. There were no significant differences between the two treatment groups in either age or BMI. Please create a subheading in the Results section titled “Sample characteristics” and move these paragraphs under this subheading. Downloaded from http://bmjopen.bmj.com/ on June 17, 2017 - Published by group.bmj.com Answer: I appreciate this useful observation and sample characteristic are moved to the result section (Line 21 page 9). 7 Methods – Table 1 and Table 2. Please combined them in one table and move it from the Methods section to the Results section. Please also provide clinical characteristics of cardiac patients either in the text or in the Table. This may include, but not be limited to, cardiovascular diagnosis, comorbidities, and medications that may influence outcome measures. Answer: Correction is made and one joint table is moved to the result section. Cardiovascular diagnosis and treatment are added (table 1 page 10). 8 Methods – There is a need to create a subheading titled “Measures” and briefly describe the measures (i.e. Fitbit Zip, treadmill and the Shimmer) used in your study. Also, briefly report if there is evidence as to their validity and reliability. Answer: I acknowledge this constructive remark and changes are made (line 10 – 24 p. 6). 9 Results – The data in Table 4 are exactly the same as in Table 3. Please provide the actual data for Table 4. Answer: The correct table 4 is displayed (table 3 page 12). 10 Discussion – There is a need for clear guidance according to the study outcomes. Thus, I expected this article to give clear messages and practical information for Fitbit and to highlight the different validity criteria between the tested and criterion PA measures for clinical purposes (e.g. <20%) compared to research purposes (within ± 3%). Answer: I acknowledge this constructive remark and because of the added hypothesis for the real life study, the discussion has provided more clear outcomes (page 13 – 14). 11 Discussion –You might like to consider including the paper by Alharbi et al. 2016; Validation of Fitbit-Flex as a measure of free-living physical activity in a community-based phase III cardiac rehabilitation population in your list of references and contrasting your results with those reported in this particular study. Please revise and comment. Answer: Thank you for this helpful remark, the interesting paper is now used in the discussion (page 13 – 14). 12 Discussion and conclusion – There is need to consider the validity of Fitbit not only for to research purposes (within ± 3%) but also its validity for clinical purposes (i.e. <20%). Answer: This is now addressed in the discussion and conclusion (page 13 – 14 and line 16 page 15). 13 Figures – It is quite difficult to visualise the intended information. Please use dashed horizontal lines to illustrate the limits of agreement and a solid horizontal line to illustrate the mean difference. Answer: The horizontal lines are now illustrated differently (Figure 6). 14 General comment – There is no justification to combine two studies [„Real-life study‟ and „Treadmill study‟] in one manuscript. You should separate them. Downloaded from http://bmjopen.bmj.com/ on June 17, 2017 - Published by group.bmj.com Answer: I appreciate this useful observation, but we decide to keep both studies in one paper. 15 General comment – There is a need to report in Tables 3 and 4 the mean ± SD for the Fitbit and Shimmer in order to verify your percent relative error calculation. Answer: Thank you for this practical remark mean and ± SD is now presented (table 2 and 3). 16 General comment – The abbreviation TP24h is used for the first time on line 34, p. 9. Please write out in full Answer: Correction is made (line 2 page 9). 17 General comment – The manuscript may need proofreading to improve its clarity. Answer: A person, competent in the English language, has performed proofreading. Reviewer 2: Alexander HK Montoye 18 Page 4 Line 16-18. The authors attribute the lack of use of physical activity monitors to limited validity and reliability studies. Their sentence is a bit too strongly worded. These monitors are heavily used, at least by the general population, and there are numerous recent studies evaluating accuracy of these devices for different activities and in different populations. Answer: Thank you for this useful comment, the word limited is replaced by cautious (line 7 p. 4). 19 The primary purpose of this study seems to be evaluating accuracy of the Zip in a clinical population. However, the healthy individuals chosen for the lab protocol were much younger than the clinical population. Why did the authors decide not to age-match the healthy sample to the clinical sample? Age-matching may have given better confidence that the results in the healthy individuals would translate to the clinical population. Moreover, the gender distribution of the clinical population is not given (please add to Methods), but it is likely that it is predominately male. Gender-matching would have further given generalizability to the results. The authors should consider addressing these as limitations in the Discussion section. Answer: I acknowledge this constructive remark. Gender distribution of the clinical population is now added in the methods and the above mentioned problems are now shortly addressed in the discussion section (Line 19 p 5 & line 1 page 6 and table 1 page 10 and discussion). 20 Page 7 line 26: Please don‟t use the word “proven”. “shown” would be more appropriate. Also, in what population, setting (lab vs. free-living) and activities was this validated for? Please provide more information. Answer: Proven is replaced by shown (line 22 page 6) and further information on population is mentioned (table 1 page 10). 21 Page 8 line 13-18: How does a 24-hour assessment take 1-10 days? Please provide more detail on why some participants wore the monitor so much longer than others when it was only supposed to be a 24-hour protocol. Same comment for home activity, only taking 24-hours of 4 weeks. How was the day chosen? What were the criteria for choosing this day? Answer: Clarification is now done (line 3 and 4 page 8). Downloaded from http://bmjopen.bmj.com/ on June 17, 2017 - Published by group.bmj.com 22 Page 8 line 36-40: Why was steps/min from the Zip taken? Need to state what the purpose of doing this was rather than just total steps. Same for Raw Z-gyro data from Shimmer. Answer: Thank you for this helpful remark, clarification is now done (Line 9 page 8). 23 Statistical analysis section: Why were averages taken for the Zips? In the real-world, no one would use 2 devices and average the data together to get their physical activity level. Accuracy should be assessed using individual Zip monitors instead of averaged data, especially since the real-life study did not do averaging. Answer: Thank you for this useful comment, all data are now displayed in the table 2-3 and used in the result and discussion section. 24 Page 10 lines 26-28: What is “unacceptably high deviation”? need to define what the threshold is for high deviation. Answer: Clarification is made (Line 20 page 15). 25 Page 11 Table 3 and 4. First of all, Tables 3 and 4 are identical, which the reviewer believes must be an error. Also, how did the authors match speeds in the real-life to those that were used in the treadmill study? This is very unclear. Additionally, how much data were available for each speed? The reviewer has difficulty believing that there was very much time that cardiac patients spent at 6.1 km/h. Answer: Thank you for this helpful remark. The correct table 4 is displayed and clarification about speed calculations is made (Line 8-16 page 9 and table 3). 26 Discussion is very short and lacks detail on study findings and implications. More detail is needed. Answer: Detailed discussion is now provided (Discussion). 27 Page 14 lines 11-18: The fact that the Shimmer likely shifted is very concerning considering that it is the criterion measure for the study. More detail is needed to discuss why we should trust this as a criterion measure. Answer: Clarification is made (Line 13 page 15). 28 Minor comments: a. Page 5 Line 38-41 and Table 1. Be consistent with number of places past the decimal point for your means and SDs Page 7 line 11: change to “four Zips on elastic belts” b. Page 7 line 15: change to “triaxial” from three axial c. Page 7 line 18: can say that the formulas are proprietary since no one except the company knows them d. Page 7 line 40: Please list out the speeds so that the study could be replicated. e. Figure 3: “Relative” spelled incorrectly f. Page 12 line 28-29: “Tudor-Locke” spelled incorrectly g. Page 14 line 4: Validity, not reliability Answer: All minor comments are now corrected. 29 Reviewer 3: Christopher Barr 30 In the methods: table 1 is mostly a replication of the text, and table 2 could also be removed if a Downloaded from http://bmjopen.bmj.com/ on June 17, 2017 - Published by group.bmj.com little more information is added to the text. Alternatively, the text could be shortened and tables 1 and 2 combined. Answer: Table 1 and 2 are combined and the text is shortened (table 1). 31 For the purposes of assessing error, the results of the two fitbits worn were averaged. Can the authors justify this? In real life a person would only wear one fitbit, so if they are attempting to discuss the accuracy of the fitbit in real life then it would make sense to report the accuracy of a single device. Answer: Thank you for this practical remark. All results from all fitbits are now shown in the table and addressed throughout the text (table 3). 32 When assessing the walking speed in the real life situation, what is the estimated error in walking speed calculation? Within this calculation there appears to be an assumption of step length based on hight, which may not hold true for slow walking populations such as those with cardiac disease. It is also unclear if walking was evident in the full 3 minute sections, or just within the 3 minutes. Inactivity at the beginning or end of the 3 minute period would also affect the speed estimation. Much of the walking activity, especially around the home, will include stops within a 3 minute period. Answer: Thank you for this useful comment, clarification is now made and the potential error for walking speed in the real life situation is addressed in the limitation section Line 8-10 page 9). 33 In a few places in the manuscript, notably the study limitations and the discussion, the authors state that accuracy of the fitbit zip at different speeds / body locations is unknown. The accuracy of the Zip has been tested at different speeds, locations, and cadence in the paper by Singh et al. Singh, A. K., Farmer, C., Van Den Berg, M. L., Killington, M., & Barr, C. J. (2015). Accuracy of the FitBit at walking speeds and cadences relevant to clinical rehabilitation populations. Disability and Health Journal. Answer: Thank you for this useful comment. The paper from Singh is now addressed in the discussion and limitation (Discussion and limitation). 34 The discussion on page 13 mentions patietns with chronic heart failure had a shorter step length. This can impact on the accuracy of the fitbit in the study population and should be acknowledged. Answer: A miner revision of this section is made in the attempt to address this study population (Discussion). VERSION 2 – REVIEW REVIEWER REVIEW RETURNED GENERAL COMMENTS Muaddi Alharbi Charles Perkins Centre, University of Sydney,Australia 05-Oct-2016 Introduction – There is still a need to explain the benefits of physical activity for healthy adults, not only for cardiac patients. Introduction – Line 38 p. 4: you state: One of Fitbit‟s step counters, the Fitbit Zip (Zip) (FITBIT, INC. 405 Howard StreetSan Francisco, Ca 94105). Please move this description to the Methods section. General comment – There is no justification to combine two studies [„Real-life study‟ and „Treadmill study‟] in one manuscript. Downloaded from http://bmjopen.bmj.com/ on June 17, 2017 - Published by group.bmj.com REVIEWER REVIEW RETURNED GENERAL COMMENTS Alexander HK Montoye Assistant Professor of Integrative Physiology and Health Science, Alma College, USA 28-Sep-2016 - Thank you to the authors for performing the revisions to this paper. The paper is markedly improved from the original version. - This reviewer‟s only remaining concern with content of the paper is that more detail is still needed in the Discussion section. Examples include the following areas. 1) More detail is needed as to the quality of the criterion measure for slow speeds (if it works poorly, then the Zip might actually be more or less accurate than you‟ve reported). 2) The fact that errors were high in the free living is very concerning. The authors mention this, but I think it deserves more acknowledgement and discussion since this will have real implications for whether this monitor (and its placement) are recommended for use in cardiac populations. 3) Page 15 lines 8-9, do you have a reference that these devices would actually be able to detect changes over time? We can‟t just assume that to be true. - The grammar still needs improvement. One example is provided (in Table 1, it‟s “Height”, not “high”), but there are many instances in which sentence wordings need work. VERSION 2 – AUTHOR RESPONSE Reviewer 2: Alexander HK Montoye 1. This reviewer‟s only remaining concern with the content of the paper is that more detail is still needed in the Discussion section. Examples include the following areas: 1) More detail is needed as to the quality of the criterion measure for slow speeds (if it works poorly, then the Zip might actually be more or less accurate than you‟ve reported); 2) The fact that errors were high in the free living is very concerning. The authors mention this, but I think it deserves more acknowledgement and discussion since this will have real implications for whether this monitor (and its placement) are recommended for use in cardiac populations; and 3) Page 15 lines 8-9, do you have a reference that these devices would actually be able to detect changes over time? We can‟t just assume that to be true. a. Answer: Thank you for these useful comments regarding the discussion section. i. With regards to 1), criterion measure (the Shimmer) is expected to have high accuracy and, to the best of our knowledge, it does not work poorly, even at slow speeds. In addition, having the Shimmer turned upside down did not matter for readings, as every step was still detectable. Shown in A, below is the gyro-Z-axis for the Shimmer (surgical patient nr. 2), and shown in B. is what it would look like if the Shimmer was turned upside down. A. B. ii. Regarding 2), this comment is interesting. The research group behind this study believes that all research should have real implications for the population under study. We do not advise against the use of the Zip in cardiac patients, we just state that a speed of 3.6 km/h or higher is required to obtain an accurate measurement of steps using the Zip. This might be challenging for cardiac patients who walk at a slower pace, and step accuracy of 24 hour real-life measurements seems challenging. Downloaded from http://bmjopen.bmj.com/ on June 17, 2017 - Published by group.bmj.com However, the Zip might motivate cardiac patients to walk more (see in the conclusions). iii. As for 3), a reference has been added (ref. 46) 2. The grammar still needs improvement. One example is provided (in Table 1, it‟s “Height”, not “high”), but there are many instances in which sentence wordings need work. a. Answer: Proofreading was performed by AJE (see attached certificate). Reviewer 1: Muaddi Alharbi 1. Introduction – There is still a need to explain the benefits of physical activity for healthy adults, not only for cardiac patients. a. Answer: Thank you for this suggestion; the benefits of physical activity for healthy adults are included in the introduction (line 1-6 p. 4). 2. Introduction – Line 38 p. 4: you state: One of Fitbit‟s step counters, the Fitbit Zip (Zip) (FITBIT, INC. 405 Howard Street San Francisco, Ca 94105). Please move this description to the Method section a. Answer: The company name is now included in the methods section (Line 18 p. 6). 3. General comment – There is no justification to combine two studies [„Real-life study‟ and „Treadmill study‟] in one manuscript. a. Answer: We appreciate this useful remark, and to a degree, you are correct. However, the authors have decided not to separate the two studies into two papers because the knowledge regarding speed is directly transferrable to the estimates of time-periods with evident walking (TP3min) and makes figure 5 possible. VERSION 3 – REVIEW REVIEWER REVIEW RETURNED Muaddi Fahad Alharbi Charles Perkins Centre, University of Sydney, Australia 20-Dec-2016 GENERAL COMMENTS Thanks for your detailed responses and editions made in the text following the reviewers' recommendations. The paper was surely improved with these changes. REVIEWER Alexander HK Montoye Assistant Professor of Integrative Physiology and Health Science Alma College USA 09-Dec-2016 REVIEW RETURNED GENERAL COMMENTS Thank you to the authors for there comments and revisions. My concerns have been appropriately addressed. Downloaded from http://bmjopen.bmj.com/ on June 17, 2017 - Published by group.bmj.com Accuracy of a step counter during treadmill and daily life walking by healthy adults and patients with cardiac disease Charlotte Brun Thorup, Jan Jesper Andreasen, Erik Elgaard Sørensen, Mette Grønkjær, Birthe Irene Dinesen and John Hansen BMJ Open 2017 7: doi: 10.1136/bmjopen-2016-011742 Updated information and services can be found at: http://bmjopen.bmj.com/content/7/3/e011742 These include: References This article cites 43 articles, 5 of which you can access for free at: http://bmjopen.bmj.com/content/7/3/e011742#BIBL Open Access This is an Open Access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited and the use is non-commercial. 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