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Ji Y, Atakan MM, Yan X, Wu J, Kuang J, Peng L. Reallocating just 10 min to moderate-to-vigorous physical activity from other components of 24-hour movement behaviors improves cardiovascular health in adults. BMC Public Health 2024; 24:1768. [PMID: 38961409 PMCID: PMC11221122 DOI: 10.1186/s12889-024-19255-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/15/2024] [Accepted: 06/24/2024] [Indexed: 07/05/2024] Open
Abstract
BACKGROUND As components of a 24-hour day, sedentary behavior (SB), physical activity (PA), and sleep are all independently linked to cardiovascular health (CVH). However, insufficient understanding of components' mutual exclusion limits the exploration of the associations between all movement behaviors and health outcomes. The aim of this study was to employ compositional data analysis (CoDA) approach to investigate the associations between 24-hour movement behaviors and overall CVH. METHODS Data from 581 participants, including 230 women, were collected from the 2005-2006 wave of the US National Health and Nutrition Examination Survey (NHANES). This dataset included information on the duration of SB and PA, derived from ActiGraph accelerometers, as well as self-reported sleep duration. The assessment of CVH was conducted in accordance with the criteria outlined in Life's Simple 7, encompassing the evaluation of both health behaviors and health factors. Compositional linear regression was utilized to examine the cross-sectional associations of 24-hour movement behaviors and each component with CVH score. Furthermore, the study predicted the potential differences in CVH score that would occur by reallocating 10 to 60 min among different movement behaviors. RESULTS A significant association was observed between 24-hour movement behaviors and overall CVH (p < 0.001) after adjusting for potential confounders. Substituting moderate-to-vigorous physical activity (MVPA) for other components was strongly associated with favorable differences in CVH score (p < 0.05), whether in one-for-one reallocations or one-for-remaining reallocations. Allocating time away from MVPA consistently resulted in larger negative differences in CVH score (p < 0.05). For instance, replacing 10 min of light physical activity (LPA) with MVPA was related to an increase of 0.21 in CVH score (95% confidence interval (95% CI) 0.11 to 0.31). Conversely, when the same duration of MVPA was replaced with LPA, CVH score decreased by 0.67 (95% CI -0.99 to -0.35). No such significance was discovered for all duration reallocations involving only LPA, SB, and sleep (p > 0.05). CONCLUSIONS MVPA seems to be as a pivotal determinant for enhancing CVH among general adult population, relative to other movement behaviors. Consequently, optimization of MVPA duration is an essential element in promoting overall health and well-being.
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Affiliation(s)
- Yemeng Ji
- Physical Education College, Southwest University, Chongqing, 400715, China
| | - Muhammed M Atakan
- Division of Nutrition and Metabolism in Exercise, Faculty of Sport Sciences, Hacettepe University, Ankara, 06800, Turkey
| | - Xu Yan
- Institute for Health and Sport, Victoria University, Melbourne, 14428, Australia
| | - Jinlong Wu
- Physical Education College, Southwest University, Chongqing, 400715, China
| | - Jujiao Kuang
- Institute for Health and Sport, Victoria University, Melbourne, 14428, Australia
| | - Li Peng
- Physical Education College, Southwest University, Chongqing, 400715, China.
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Brakenridge CJ, Koster A, de Galan BE, Carver A, Dumuid D, Dzakpasu FQS, Eussen SJPM, Savelberg HHCM, Bosma H, Owen N, Schaper NC, Healy GN, Dunstan DW. Associations of 24 h time-use compositions of sitting, standing, physical activity and sleeping with optimal cardiometabolic risk and glycaemic control: The Maastricht Study. Diabetologia 2024; 67:1356-1367. [PMID: 38656371 PMCID: PMC11153304 DOI: 10.1007/s00125-024-06145-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/30/2023] [Accepted: 02/28/2024] [Indexed: 04/26/2024]
Abstract
AIMS/HYPOTHESIS The associations of sitting, standing, physical activity and sleep with cardiometabolic health and glycaemic control markers are interrelated. We aimed to identify 24 h time-use compositions associated with optimal metabolic and glycaemic control and determine whether these varied by diabetes status. METHODS Thigh-worn activPAL data from 2388 participants aged 40-75 years (48.7% female; mean age 60.1 [SD = 8.1] years; n=684 with type 2 diabetes) in The Maastricht Study were examined. Compositional isometric log ratios were generated from mean 24 h time use (sitting, standing, light-intensity physical activity [LPA], moderate-to-vigorous physical activity [MVPA] and sleeping) and regressed with outcomes of waist circumference, fasting plasma glucose (FPG), 2 h plasma glucose, HbA1c, the Matsuda index expressed as z scores, and with a clustered cardiometabolic risk score. Overall analyses were adjusted for demographics, smoking, dietary intake and diabetes status, and interaction by diabetes status was examined separately. The estimated difference when substituting 30 min of one behaviour with another was determined with isotemporal substitution. To identify optimal time use, all combinations of 24 h compositions possible within the study footprint (1st-99th percentile of each behaviour) were investigated to determine those cross-sectionally associated with the most-optimal outcome (top 5%) for each outcome measure. RESULTS Compositions lower in sitting time and with greater standing time, physical activity and sleeping had the most beneficial associations with outcomes. Associations were stronger in participants with type 2 diabetes (p<0.05 for interactions), with larger estimated benefits for waist circumference, FPG and HbA1c when sitting was replaced by LPA or MVPA in those with type 2 diabetes vs the overall sample. The mean (range) optimal compositions of 24 h time use, considering all outcomes, were 6 h (range 5 h 40 min-7 h 10 min) for sitting, 5 h 10 min (4 h 10 min-6 h 10 min) for standing, 2 h 10 min (2 h-2 h 20 min) for LPA, 2 h 10 min (1 h 40 min-2 h 20 min) for MVPA and 8 h 20 min (7 h 30 min-9 h) for sleeping. CONCLUSIONS/INTERPRETATION Shorter sitting time and more time spent standing, undergoing physical activity and sleeping are associated with preferable cardiometabolic health. The substitutions of behavioural time use were significantly stronger in their associations with glycaemic control in those with type 2 diabetes compared with those with normoglycaemic metabolism, especially when sitting time was balanced with greater physical activity.
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Affiliation(s)
- Christian J Brakenridge
- Baker Heart and Diabetes Institute, Melbourne, VIC, Australia.
- Mary Mackillop Institute for Health Research, Australian Catholic University, Melbourne, VIC, Australia.
- Active Life Lab, South-Eastern Finland University of Applied Sciences, Mikkeli, Finland.
- Centre for Urban Transitions, Swinburne University of Technology, Melbourne, VIC, Australia.
| | - Annemarie Koster
- Department of Social Medicine, Maastricht University, Maastricht, the Netherlands
- CAPHRI Care and Public Health Research Institute, Maastricht University, Maastricht, the Netherlands
| | - Bastiaan E de Galan
- Department of Internal Medicine, Maastricht University Medical Center+, Maastricht, the Netherlands
- Department of Internal Medicine, Radboud University Medical Centre, Nijmegen, the Netherlands
- CARIM School for Cardiovascular Diseases, Maastricht University, Maastricht, the Netherlands
| | - Alison Carver
- National Centre for Healthy Ageing, The School of Translational Medicine, Monash University, Melbourne, VIC, Australia
| | - Dorothea Dumuid
- Alliance for Research in Exercise, Nutrition and Activity, University of South Australia, Adelaide, SA, Australia
| | - Francis Q S Dzakpasu
- Baker Heart and Diabetes Institute, Melbourne, VIC, Australia
- Mary Mackillop Institute for Health Research, Australian Catholic University, Melbourne, VIC, Australia
| | - Simone J P M Eussen
- CAPHRI Care and Public Health Research Institute, Maastricht University, Maastricht, the Netherlands
- CARIM School for Cardiovascular Diseases, Maastricht University, Maastricht, the Netherlands
- Department of Epidemiology, Maastricht University, Maastricht, the Netherlands
| | - Hans H C M Savelberg
- Department of Nutrition and Movement Science, Maastricht University, Maastricht, the Netherlands
- NUTRIM School for Nutrition and Translational Research in Metabolism, Maastricht University, Maastricht, the Netherlands
| | - Hans Bosma
- Department of Social Medicine, Maastricht University, Maastricht, the Netherlands
- CAPHRI Care and Public Health Research Institute, Maastricht University, Maastricht, the Netherlands
| | - Neville Owen
- Baker Heart and Diabetes Institute, Melbourne, VIC, Australia
- Centre for Urban Transitions, Swinburne University of Technology, Melbourne, VIC, Australia
| | - Nicolaas C Schaper
- CAPHRI Care and Public Health Research Institute, Maastricht University, Maastricht, the Netherlands
- CARIM School for Cardiovascular Diseases, Maastricht University, Maastricht, the Netherlands
| | - Genevieve N Healy
- School of Human Movement and Nutrition Sciences, The University of Queensland, Brisbane, QLD, Australia
| | - David W Dunstan
- Baker Heart and Diabetes Institute, Melbourne, VIC, Australia
- Institute for Physical Activity and Nutrition, School of Exercise and Nutrition Sciences, Deakin University, Melbourne, VIC, Australia
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Huang J, Li X, Li G, Haegele JA, Zou L, Chen S, Li C. Prevalence of meeting 24-hour movement guidelines and its associations with health indicators in people with disabilities: A systematic review and meta-analysis. Disabil Health J 2024; 17:101616. [PMID: 38514296 DOI: 10.1016/j.dhjo.2024.101616] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/13/2023] [Revised: 03/11/2024] [Accepted: 03/14/2024] [Indexed: 03/23/2024]
Abstract
BACKGROUND Meeting the 24-h movement guidelines (i.e., physical activity, sedentary behavior, sleep) could generate health benefits to people with disabilities. However, no systematic reviews or meta-analyses have examined the prevalence of meeting these guidelines and associations with health indicators in this group. OBJECTIVE This systematic review and meta-analysis aimed to examine the prevalence of meeting the 24-h movement guidelines and associations with health indicators among people with disabilities. METHODS Six electronic databases were searched for studies published in English from inception to May 31, 2023. Meta-analyses with the random-effects model were used to determine the prevalence of meeting the 24-h movement guidelines. Qualitative syntheses were employed to describe the associations between meeting the guidelines and health indicators. RESULTS Twenty-four studies comprising 77510 participants (41.6% females) with disabilities aged 6-65 years from eight countries were identified. Overall, 6.97% of the participants with disabilities met all 24-h movement guidelines, and 16.65% met none of the guidelines. Significant age (P = 0.006) and disability type (P = 0.001) differences were found in meeting all guidelines. Participants with disabilities who met all guidelines reported better psychosocial health indicators (9/9 studies) than those met none or only one of the guidelines. There was limited evidence or research for other health indicators. CONCLUSION There is some evidence showing that the prevalence of meeting all 24-h movement guidelines in people with disabilities is low. Meanwhile, there is preliminary evidence suggesting that meeting all guidelines is associated with better psychosocial health than meeting none of the guidelines.
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Affiliation(s)
- Jiafu Huang
- School of Physical Education & Sports Science, South China Normal University, Guangzhou, China; Adapted Physical Activity + Laboratory, South China Normal University, Guangzhou, China.
| | - Xuecheng Li
- School of Physical Education & Sports Science, South China Normal University, Guangzhou, China; Adapted Physical Activity + Laboratory, South China Normal University, Guangzhou, China.
| | - Gen Li
- School of Physical Education & Sports Science, South China Normal University, Guangzhou, China.
| | - Justin A Haegele
- Department of Human Movement Sciences, Old Dominion University, Norfolk, USA; Center for Movement, Health, & Disability, Old Dominion University, Norfolk, USA.
| | - Liye Zou
- Body-Brain-Mind Laboratory, School of Psychology, Shenzhen University, Shenzhen, China.
| | - Sitong Chen
- Institute for Health and Sport, Victoria University, Melbourne, Australia.
| | - Chunxiao Li
- School of Physical Education & Sports Science, South China Normal University, Guangzhou, China; Adapted Physical Activity + Laboratory, South China Normal University, Guangzhou, China.
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Bogaert L, Willems I, Calders P, Dirinck E, Kinaupenne M, Decraene M, Lapauw B, Strumane B, Van Daele M, Verbestel V, De Craemer M. Explanatory variables of objectively measured 24-h movement behaviors in people with prediabetes and type 2 diabetes: A systematic review. Diabetes Metab Syndr 2024; 18:102995. [PMID: 38583307 DOI: 10.1016/j.dsx.2024.102995] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/10/2023] [Revised: 02/13/2024] [Accepted: 03/25/2024] [Indexed: 04/09/2024]
Abstract
AIM Physical activity (PA), sedentary behavior (SB) and sleep (i.e. 24-h movement behaviors) are associated with health indicators in people with prediabetes and type 2 diabetes (T2D). To optimize 24-h movement behaviors, it is crucial to identify explanatory variables related to these behaviors. This review aimed to summarize the explanatory variables of 24-h movement behaviors in people with prediabetes or T2D. METHODS A systematic search of four databases (PubMed, Web of Science, Scopus & Embase) was performed. Only objective measurements of 24-h movement behaviors were included in the search strategy. The explanatory variables were classified according to the levels of the socio-ecological model (i.e. intrapersonal, interpersonal and environmental). The risk of bias was assessed using the Joanna Briggs Institute appraisal checklist. RESULTS None of the 78 included studies investigated 24-h movement behaviors. The majority of the studies investigated PA in isolation. Most studied explanatory variables were situated at the intrapersonal level. Being male was associated with more moderate to vigorous PA but less light PA in people with T2D, and more total PA in people with prediabetes. An older age was associated with a decrease in all levels of PA in people with T2D. HbA1c was positively associated with sleep and SB in both groups. No associations were found at the interpersonal or environmental level. CONCLUSION The results of this review underscore the lack of a socio-ecological approach toward explanatory variables of 24-h movement behaviors and the lack of focus on an integrated 24-h movement behavior approach in both populations.
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Affiliation(s)
- Lotte Bogaert
- Ghent University, Department of Rehabilitation Sciences, Ghent, Belgium.
| | - Iris Willems
- Ghent University, Department of Rehabilitation Sciences, Ghent, Belgium; Research Foundation Flanders, Brussels, Belgium.
| | - Patrick Calders
- Ghent University, Department of Rehabilitation Sciences, Ghent, Belgium.
| | - Eveline Dirinck
- Department of Endocrinology, Antwerp University Hospital & University of Antwerp, Antwerp, Belgium.
| | - Manon Kinaupenne
- Ghent University, Department of Rehabilitation Sciences, Ghent, Belgium.
| | - Marga Decraene
- Ghent University, Department of Rehabilitation Sciences, Ghent, Belgium; Ghent University, Department of Movement and Sports Sciences, Ghent, Belgium.
| | - Bruno Lapauw
- Department of Endocrinology & Department of Internal Medicine and Pediatrics, Ghent University Hospital & Ghent University, Ghent, Belgium.
| | - Boyd Strumane
- Faculty of Medicine and Health Sciences, Ghent, Belgium.
| | | | - Vera Verbestel
- Faculty of Health, Medicine and Life Sciences, Department of Health Promotion, Research Institute of Nutrition and Translational Research in Metabolism (NUTRIM), Maastricht University, the Netherlands; Faculty of Health, Medicine and Life Sciences, Department of Health Promotion, Care and Public Health Research Institute (CAPHRI), Maastricht University, the Netherlands.
| | - Marieke De Craemer
- Ghent University, Department of Rehabilitation Sciences, Ghent, Belgium.
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Willems I, Verbestel V, Dumuid D, Stanford TE, Calders P, Lapauw B, Bogaert L, Blom MT, den Braver NR, van der Velde JHPM, Rutters F, De Craemer M. Cross-sectional associations between 24-hour movement behaviors and cardiometabolic health among adults with type 2 diabetes mellitus: A comparison according to weight status. J Sci Med Sport 2024; 27:179-186. [PMID: 38114412 DOI: 10.1016/j.jsams.2023.11.010] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/24/2023] [Revised: 10/25/2023] [Accepted: 11/17/2023] [Indexed: 12/21/2023]
Abstract
OBJECTIVES Type 2 diabetes mellitus (T2DM) is a chronic disease associated with overweight and obesity. Evidence suggests that 24-hour movement behaviors (24 h-MBs) play a crucial role in cardiometabolic health. However, it is not yet known if 24 h-MBs differ between weight status groups among people with T2DM (PwT2DM) and how 24 h-MBs are associated with their cardiometabolic health. DESIGN Cross-sectional study. METHODS Cardiometabolic variables (i.e. Body Mass Index (BMI), waist circumference (WC), HbA1c, fasting glucose, triglycerides, total-cholesterol, HDL-cholesterol, LDL-cholesterol, blood pressure) and 24 h-MBs (accelerometry and sleep-diary) of 1001 PwT2DM were collected. Regression models using compositional data analysis explored differences in 24 h-MBs between weight status groups and analyzed associations with cardiometabolic variables. RESULTS The 24 h-MBs of PwT2DM being obese consisted of less sleep, light physical activity (LPA) and moderate to vigorous physical activity (MVPA) and more sedentary time (ST) per day as compared to PwT2DM being overweight or normal weight (p < 0.001). Regardless of weight status, the largest associations were found when reallocating 20 min a day from ST into MVPA for BMI (-0.32 kg/m2; [-0.55; -0.09], -1.09 %), WC (-1.44 cm, [-2.26; -0.62], -1.35 %) and HDL-cholesterol (0.02 mmol/l, [0.01, 0.02], +1.59 %), as well as from ST into LPA for triglycerides (-0.04 mmol/l, [-0.05; -0.03], -2.3 %). Moreover, these associations were different when stratifying people by short-to-average (7.7 h/night) versus long sleep (9.3 h/night) period. CONCLUSIONS This study highlights the importance of 24 h-MBs in the cardiometabolic health of PwT2DM. Shifting time from ST and/or sleep toward LPA or MVPA might theoretically benefit cardiometabolic health among relatively inactive PwT2DM, irrespective of weight status.
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Affiliation(s)
- Iris Willems
- Ghent University, Department of Rehabilitation Sciences, Belgium; Research Foundation Flanders, Belgium.
| | - Vera Verbestel
- Maastricht University, Department of Health Promotion, Research Institute of Nutrition and Translational Research in Metabolism & Care and Public Health Institute, the Netherlands.
| | - Dorothea Dumuid
- Alliance for Research in Exercise, Nutrition and Activity, Allied Health & Human Performance, University of South Australia, Australia.
| | - Tyman E Stanford
- Alliance for Research in Exercise, Nutrition and Activity, Allied Health & Human Performance, University of South Australia, Australia.
| | - Patrick Calders
- Ghent University, Department of Rehabilitation Sciences, Belgium.
| | - Bruno Lapauw
- Department of Internal Medicine and Pediatrics & Department of Endocrinology, Ghent University Hospital & Ghent University, Belgium.
| | - Lotte Bogaert
- Ghent University, Department of Rehabilitation Sciences, Belgium.
| | - Marieke T Blom
- Department of General Practice, Amsterdam UMC, location Vrije Universiteit, the Netherlands.
| | - Nicolette R den Braver
- Department of Epidemiology and Data Science, Amsterdam Public Health Research Institute, the Netherlands.
| | | | - Femke Rutters
- Department of Epidemiology and Data Science, Amsterdam Public Health Research Institute, the Netherlands.
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Suorsa K, Gupta N, Leskinen T, Andersen LL, Pasanen J, Hettiarachchi P, Johansson PJ, Pentti J, Vahtera J, Stenholm S. Modifications of 24-h movement behaviors to prevent obesity in retirement: a natural experiment using compositional data analysis. Int J Obes (Lond) 2023; 47:922-930. [PMID: 37221289 PMCID: PMC10511314 DOI: 10.1038/s41366-023-01326-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/03/2023] [Revised: 05/02/2023] [Accepted: 05/04/2023] [Indexed: 05/25/2023]
Abstract
BACKGROUND Retirement often leads to a more passive lifestyle and may therefore lead to weight gain. This study aims to investigate longitudinal associations between changes in 24-h movement behaviors and BMI and waist circumference in relation to the transition from work to retirement. METHODS The study population included 213 retiring public sector workers (mean age 63.5 years, standard deviation 1.1) from the Finnish Retirement and Aging study. Before and after retirement participants wore an Axivity accelerometer on their thigh and filled in a daily log for at least four days to measure daily time spent sleeping, in sedentary behavior (SED), light physical activity (LPA) and moderate-to-vigorous physical activity (MVPA). Also, their body mass index (BMI) and waist circumference were measured repeatedly. Compositional linear regression analysis and isotemporal substitution analysis were used to study associations between one-year changes in 24-h movement behaviors and concurrent changes in BMI and waist circumference. RESULTS An increase in MVPA in relation to sleep, SED and LPA was associated with a decreasing BMI (β = -0.60, p = 0.04) and waist circumference (β = -2.14, p = 0.05) over one year from before retirement to after retirement. In contrast, increasing sleep in relation to SED, LPA and MVPA was associated with an increasing BMI (β = 1.34, p = 0.02). Reallocating 60 min from MVPA to SED or sleep was estimated to increase BMI by on average 0.8-0.9 kg/m2 and waist circumference by 3.0 cm during one year. CONCLUSIONS During the transition from work to retirement, increasing MVPA was associated with a slight decrease in BMI and waist circumference, whereas increasing sleep was associated with an increasing BMI. Common life transitions, like retirement, should be considered when giving recommendations and guidance for physical activity and sleep.
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Affiliation(s)
- Kristin Suorsa
- Department of Public Health, University of Turku and Turku University Hospital, Turku, Finland.
- Centre for Population Health Research, University of Turku and Turku University Hospital, Turku, Finland.
| | - Nidhi Gupta
- National Research Centre for the Working Environment, Copenhagen, Denmark
| | - Tuija Leskinen
- Department of Public Health, University of Turku and Turku University Hospital, Turku, Finland
- Centre for Population Health Research, University of Turku and Turku University Hospital, Turku, Finland
| | - Lars L Andersen
- National Research Centre for the Working Environment, Copenhagen, Denmark
| | - Jesse Pasanen
- Department of Public Health, University of Turku and Turku University Hospital, Turku, Finland
- Centre for Population Health Research, University of Turku and Turku University Hospital, Turku, Finland
| | - Pasan Hettiarachchi
- Department of Medical Sciences, Occupational and Environmental Medicine, Uppsala University, Uppsala University Hospital, Uppsala, Sweden
| | - Peter J Johansson
- Department of Medical Sciences, Occupational and Environmental Medicine, Uppsala University, Uppsala University Hospital, Uppsala, Sweden
| | - Jaana Pentti
- Department of Public Health, University of Turku and Turku University Hospital, Turku, Finland
- Centre for Population Health Research, University of Turku and Turku University Hospital, Turku, Finland
- Clinicum, Faculty of Medicine, University of Helsinki, Helsinki, Finland
| | - Jussi Vahtera
- Department of Public Health, University of Turku and Turku University Hospital, Turku, Finland
- Centre for Population Health Research, University of Turku and Turku University Hospital, Turku, Finland
| | - Sari Stenholm
- Department of Public Health, University of Turku and Turku University Hospital, Turku, Finland
- Centre for Population Health Research, University of Turku and Turku University Hospital, Turku, Finland
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Thomas JJC, Daley AJ, Esliger DW, Kettle VE, Coombe A, Stamatakis E, Sanders JP. Accelerometer-Measured Physical Activity Data Sets (Global Physical Activity Data Set Catalogue) That Include Markers of Cardiometabolic Health: Systematic Scoping Review. J Med Internet Res 2023; 25:e45599. [PMID: 37467026 PMCID: PMC10398367 DOI: 10.2196/45599] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/12/2023] [Revised: 04/18/2023] [Accepted: 05/08/2023] [Indexed: 07/20/2023] Open
Abstract
BACKGROUND Cardiovascular disease accounts for 17.9 million deaths globally each year. Many research study data sets have been collected to answer questions regarding the relationship between cardiometabolic health and accelerometer-measured physical activity. This scoping review aimed to map the available data sets that have collected accelerometer-measured physical activity and cardiometabolic health markers. These data were then used to inform the development of a publicly available resource, the Global Physical Activity Data set (GPAD) catalogue. OBJECTIVE This review aimed to systematically identify data sets that have measured physical activity using accelerometers and cardiometabolic health markers using either an observational or interventional study design. METHODS Databases, trial registries, and gray literature (inception until February 2021; updated search from February 2021 to September 2022) were systematically searched to identify studies that analyzed data sets of physical activity and cardiometabolic health outcomes. To be eligible for inclusion, data sets must have measured physical activity using an accelerometric device in adults aged ≥18 years; a sample size >400 participants (unless recruited participants in a low- and middle-income country where a sample size threshold was reduced to 100); used an observational, longitudinal, or trial-based study design; and collected at least 1 cardiometabolic health marker (unless only body mass was measured). Two reviewers screened the search results to identify eligible studies, and from these, the unique names of each data set were recorded, and characteristics about each data set were extracted from several sources. RESULTS A total of 17,391 study reports were identified, and after screening, 319 were eligible, with 122 unique data sets in these study reports meeting the review inclusion criteria. Data sets were found in 49 countries across 5 continents, with the most developed in Europe (n=53) and the least in Africa and Oceania (n=4 and n=3, respectively). The most common accelerometric brand and device wear location was Actigraph and the waist, respectively. Height and body mass were the most frequently measured cardiometabolic health markers in the data sets (119/122, 97.5% data sets), followed by blood pressure (82/122, 67.2% data sets). The number of participants in the included data sets ranged from 103,712 to 120. Once the review processes had been completed, the GPAD catalogue was developed to house all the identified data sets. CONCLUSIONS This review identified and mapped the contents of data sets from around the world that have collected potentially harmonizable accelerometer-measured physical activity and cardiometabolic health markers. The GPAD catalogue is a web-based open-source resource developed from the results of this review, which aims to facilitate the harmonization of data sets to produce evidence that will reduce the burden of disease from physical inactivity.
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Affiliation(s)
- Jonah J C Thomas
- School of Sport, Exercise and Health Science, Loughborough University, Loughborough, United Kingdom
- National Centre for Sport and Exercise Medicine, Loughborough University, Loughborough, United Kingdom
- Centre for Lifestyle Medicine and Behaviour, Loughborough University, Loughborough, United Kingdom
| | - Amanda J Daley
- School of Sport, Exercise and Health Science, Loughborough University, Loughborough, United Kingdom
- National Centre for Sport and Exercise Medicine, Loughborough University, Loughborough, United Kingdom
- Centre for Lifestyle Medicine and Behaviour, Loughborough University, Loughborough, United Kingdom
| | - Dale W Esliger
- School of Sport, Exercise and Health Science, Loughborough University, Loughborough, United Kingdom
- National Centre for Sport and Exercise Medicine, Loughborough University, Loughborough, United Kingdom
- Centre for Lifestyle Medicine and Behaviour, Loughborough University, Loughborough, United Kingdom
- Lifestyle, National Institute of Health Research Leicester Biomedical Research Centre, Leicester, United Kingdom
| | - Victoria E Kettle
- School of Sport, Exercise and Health Science, Loughborough University, Loughborough, United Kingdom
- National Centre for Sport and Exercise Medicine, Loughborough University, Loughborough, United Kingdom
- Centre for Lifestyle Medicine and Behaviour, Loughborough University, Loughborough, United Kingdom
| | - April Coombe
- Public Health, Epidemiology and Biostatistics, Institute of Applied Health Research, University of Birmingham, Birmingham, United Kingdom
| | - Emmanuel Stamatakis
- Charles Perkin Centre, Faculty of Medicine and Health Science, University of Sydney, Sydney, Australia
| | - James P Sanders
- School of Sport, Exercise and Health Science, Loughborough University, Loughborough, United Kingdom
- National Centre for Sport and Exercise Medicine, Loughborough University, Loughborough, United Kingdom
- Centre for Lifestyle Medicine and Behaviour, Loughborough University, Loughborough, United Kingdom
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8
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Zhu P, Lao G, Li H, Tan R, Gu J, Ran J. Replacing of sedentary behavior with physical activity and the risk of mortality in people with prediabetes and diabetes: a prospective cohort study. Int J Behav Nutr Phys Act 2023; 20:81. [PMID: 37415151 DOI: 10.1186/s12966-023-01488-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/02/2023] [Accepted: 06/29/2023] [Indexed: 07/08/2023] Open
Abstract
BACKGROUND Sedentary behavior is prevalent among people with diabetes and is associated with unfavorable cardiometabolic health. However, there is limited evidence regarding the impact of replacing sedentary time (ST) with physical activity on mortality in people with prediabetes and diabetes. We prospectively examined the association between accelerometer-measured ST and mortality among people with prediabetes and diabetes after adjusting for demographic characteristics, lifestyle factors, and moderate- to vigorous-intensity PA (MVPA). We further determined the effect of replacing ST with equal time of different types of physical activities on all-cause mortality. METHODS We included 1242 adults with prediabetes and 1037 with diabetes from the National Health and Nutrition Examination Survey. Restricted cubic splines were fitted to determine the dose-response association between ST and overall mortality. Isotemporal substitution modeling was used to explore the hazard ratio (HR) effects of ST replacement. RESULTS During a median follow-up of 14.1 years, 424 adults with prediabetes and 493 with diabetes died. Compared with the lowest tertile of ST, the multivariable-adjusted HRs for all-cause mortality in the highest tertile were 1.76 (95% confidence interval [CI] 1.19, 2.60) for participants with prediabetes and 1.76 (1.17, 2.65) for those with diabetes. Additionally, a linear association between ST and all-cause mortality was observed in adults with prediabetes and diabetes, with HRs for each 60 min/day increment in ST of 1.19 (1.10, 1.30) and 1.25 (1.12, 1.40), respectively. Isotemporal substitution results indicated that individuals with prediabetes whose ST was replaced by 30 min of light-intensity physical activity (LPA) and MVPA had 9% and 40% lower all-cause mortality, respectively. In people with diabetes, replacing sedentary behavior with an equivalent time of LPA and MVPA was also associated with mortality risk reduction (HR 0.89; 95% CI 0.84, 0.95 for LPA; HR 0.73; 95% CI 0.49, 1.11 for MVPA). CONCLUSIONS Higher ST was associated in a dose-response manner with an increased risk of premature mortality among adults with prediabetes and diabetes. Statistically replacing ST with LPA was potentially beneficial for health in this high-risk population.
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Affiliation(s)
- Ping Zhu
- Department of Endocrinology and Metabolism, Guangzhou Red Cross Hospital, Jinan University, Guangzhou, China
- Institute of Disease-Oriented Nutritional Research, Guangzhou Red Cross Hospital, Jinan University, Guangzhou, China
| | - Guojuan Lao
- Department of Endocrinology and Metabolism, Sun Yat-Sen Memorial Hospital, Sun Yat-Sen University, Guangzhou, China
| | - Huipeng Li
- Department of Endocrinology and Metabolism, Guangzhou Red Cross Hospital, Jinan University, Guangzhou, China
| | - Rongshao Tan
- Institute of Disease-Oriented Nutritional Research, Guangzhou Red Cross Hospital, Jinan University, Guangzhou, China
| | - Jing Gu
- Department of Medical Statistics, School of Public Health, Sun Yat-Sen University, Guangzhou, China
| | - Jianmin Ran
- Department of Endocrinology and Metabolism, Guangzhou Red Cross Hospital, Jinan University, Guangzhou, China.
- Institute of Disease-Oriented Nutritional Research, Guangzhou Red Cross Hospital, Jinan University, Guangzhou, China.
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9
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Willems I, Verbestel V, Calders P, Lapauw B, De Craemer M. Test-Retest Reliability and Internal Consistency of a Newly Developed Questionnaire to Assess Explanatory Variables of 24-h Movement Behaviors in Adults. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2023; 20:4407. [PMID: 36901416 PMCID: PMC10001532 DOI: 10.3390/ijerph20054407] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 01/31/2023] [Revised: 02/25/2023] [Accepted: 02/26/2023] [Indexed: 06/18/2023]
Abstract
A questionnaire on explanatory variables for each behavior of the 24-h movement behaviors (i.e., physical activity, sedentary behavior, sleep) was developed based on three levels of the socio-ecological model, i.e., the intrapersonal level, interpersonal level and the physical environmental level. Within these levels, different constructs were questioned, i.e., autonomous motivation, attitude, facilitators, internal behavioral control, self-efficacy, barriers, subjective norm, social modeling, social support, home environment, neighborhood, and work environment. The questionnaire was tested for test-retest reliability (i.e., intraclass correlation (ICC)) for each item and internal consistency for each construct (i.e., Cronbach's Alpha Coefficient) among a group of 35 healthy adults with a mean age of 42.9 (±16.1) years. The total questionnaire contained 266 items, consisting of 14 items on general information, 70 items on physical activity, 102 items on sedentary behavior, 45 items on sleep and 35 items on the physical environment. Seventy-one percent of the explanatory items showed moderate to excellent reliability (ICC between 0.50 and 0.90) and a majority of constructs had a good homogeneity among items (Cronbach's Alpha Coefficient ≥ 0.70). This newly developed and comprehensive questionnaire might be used as a tool to understand adults' 24-h movement behaviors.
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Affiliation(s)
- Iris Willems
- Department of Rehabilitation Sciences, Ghent University, 9000 Ghent, Belgium
- Research Foundation Flanders, 1000 Brussels, Belgium
| | - Vera Verbestel
- Department of Public Health and Primary Care, Ghent University, 9000 Ghent, Belgium
| | - Patrick Calders
- Department of Rehabilitation Sciences, Ghent University, 9000 Ghent, Belgium
| | - Bruno Lapauw
- Department of Internal Medicine and Pediatrics, Ghent University, 9000 Ghent, Belgium
- Department of Endocrinology, Ghent University Hospital, 9000 Ghent, Belgium
| | - Marieke De Craemer
- Department of Rehabilitation Sciences, Ghent University, 9000 Ghent, Belgium
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10
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Mendham AE, Goedecke JH, Kufe NC, Soboyisi M, Smith A, Westgate K, Brage S, Micklesfield LK. Physical Behaviors and Their Association With Adiposity in Men and Women From a Low-Resourced African Setting. J Phys Act Health 2022; 19:548-557. [PMID: 35894904 DOI: 10.1123/jpah.2022-0032] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/24/2022] [Revised: 04/07/2022] [Accepted: 06/22/2022] [Indexed: 01/12/2023]
Abstract
BACKGROUND We first explored the associations between physical behaviors and total and regional adiposity. Second, we examined how reallocating time in different physical behaviors was associated with total body fat mass in men and women from a low-income South African setting. METHODS This cross-sectional study included a sample of 692 participants (384 men and 308 women) aged 41-72 years. Physical behaviors were measured using integrated hip and thigh accelerometry to estimate total movement volume and time spent in sleeping, sitting/lying, standing, light physical activity, and moderate to vigorous physical activity (MVPA). Total body fat mass and regional adiposity were measured using dual-energy X-ray absorptiometry. RESULTS The associations between total movement volume and measures of regional obesity were mediated by total body adiposity. In men, reallocating 30 minutes of sitting/lying to 30 minutes of MVPA was associated with 1.0% lower fat mass. In women, reallocation of 30 minutes of sitting/lying to MVPA and 30 minutes of standing to MVPA were associated with a 0.3% and 1.4% lower fat mass, respectively. CONCLUSIONS Although the association between physical behaviors and fat mass differed between men and women, the overall public health message is similar; reallocating sedentary time to MVPA is associated with a reduction in fat mass in both men and women.
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Affiliation(s)
- Amy E Mendham
- South African Medical Research Council/Wits Developmental Pathways for Health Research Unit (DPHRU), Department of Paediatrics, School of Clinical Medicine, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg,South Africa
- Health through Physical Activity, Lifestyle and Sport Research Centre (HPALS), FIMS International Collaborating Centre of Sports Medicine, Division of Physiological Sciences, Department of Human Biology, Faculty of Health Sciences, University of Cape Town, Cape Town,South Africa
| | - Julia H Goedecke
- South African Medical Research Council/Wits Developmental Pathways for Health Research Unit (DPHRU), Department of Paediatrics, School of Clinical Medicine, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg,South Africa
- Non-Communicable Diseases Research Unit, South African Medical Research Council, Cape Town,South Africa
| | - Nyuyki Clement Kufe
- South African Medical Research Council/Wits Developmental Pathways for Health Research Unit (DPHRU), Department of Paediatrics, School of Clinical Medicine, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg,South Africa
- Epidemiology and Surveillance Section, National Institute for Occupational Health, National Health Laboratory Service, Johannesburg,South Africa
| | - Melikhaya Soboyisi
- South African Medical Research Council/Wits Developmental Pathways for Health Research Unit (DPHRU), Department of Paediatrics, School of Clinical Medicine, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg,South Africa
| | - Antonia Smith
- MRC Epidemiology Unit, University of Cambridge, Cambridge,United Kingdom
| | - Kate Westgate
- MRC Epidemiology Unit, University of Cambridge, Cambridge,United Kingdom
| | - Soren Brage
- MRC Epidemiology Unit, University of Cambridge, Cambridge,United Kingdom
| | - Lisa K Micklesfield
- South African Medical Research Council/Wits Developmental Pathways for Health Research Unit (DPHRU), Department of Paediatrics, School of Clinical Medicine, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg,South Africa
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11
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Bianchim MS, McNarry MA, Holland A, Cox NS, Dreger J, Barker AR, Williams CA, Denford S, Mackintosh KA. A Compositional Analysis of Physical Activity, Sedentary Time, and Sleep and Associated Health Outcomes in Children and Adults with Cystic Fibrosis. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2022; 19:ijerph19095155. [PMID: 35564550 PMCID: PMC9102111 DOI: 10.3390/ijerph19095155] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 03/20/2022] [Revised: 04/15/2022] [Accepted: 04/20/2022] [Indexed: 11/23/2022]
Abstract
This study sought to investigate the association of light physical activity (LPA), moderate-to-vigorous physical activity (MVPA), sedentary time (SED), and sleep with lung function in children and adults with CF. In total, 86 children (41 females; 13.6 ± 2.8 years; FEV1%predicted: 86 ± 1%) and 43 adults (21 females; 24.6 ± 4.7 years; FEV1%predicted: 63 ± 21%) with CF participated in this study. Wrist-worn accelerometery was used to assess PA, SED and sleep. Compositional linear regression models were conducted following normalisation via isometric log-ratio transformations. Sequential binary partitioning was applied to investigate the impact of reallocating 10 to 30 min between each behaviour on FEV1%predicted. A decline in FEV1%predicted was predicted with the reallocation of 30 min from MVPA to SED or LPA or sleep to any other behaviour in children (−3.04–−0.005%) and adults (−3.58–−0.005%). Conversely, improvements in FEV1%predicted were predicted when 30 min was reallocated to MVPA from LPA or SED in children (0.12–1.59%) and adults (0.77–2.10%), or when 30 min was reallocated to sleep from any other behaviour in both children (0.23–2.56%) and adults (1.08–3.58%). This study supports the importance of MVPA and sleep for maintaining and promoting lung function in people with CF.
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Affiliation(s)
- Mayara S. Bianchim
- Applied Sports, Technology, Exercise and Medicine Research Centre, Swansea University Bay Campus, Swansea SA1 8EN, UK; (M.S.B.); (K.A.M.)
- Nursing, Midwifery and Allied Health Professions Research Unit, University of Stirling, Stirling FK9 4LA, UK
| | - Melitta A. McNarry
- Applied Sports, Technology, Exercise and Medicine Research Centre, Swansea University Bay Campus, Swansea SA1 8EN, UK; (M.S.B.); (K.A.M.)
- Correspondence: ; Tel.: +44-(0)7971220327
| | - Anne Holland
- Department of Allergy, Immunology and Respiratory Medicine, Monash University, Melbourne 3004, Australia; (A.H.); (N.S.C.); (J.D.)
- Alfred Health, Australia Institute for Breathing and Sleep, Melbourne 3004, Australia
- Alfred Health, Physiotherapy Department, Melbourne 3004, Australia
| | - Narelle S. Cox
- Department of Allergy, Immunology and Respiratory Medicine, Monash University, Melbourne 3004, Australia; (A.H.); (N.S.C.); (J.D.)
- Alfred Health, Australia Institute for Breathing and Sleep, Melbourne 3004, Australia
| | - Julianna Dreger
- Department of Allergy, Immunology and Respiratory Medicine, Monash University, Melbourne 3004, Australia; (A.H.); (N.S.C.); (J.D.)
- Alfred Health, Physiotherapy Department, Melbourne 3004, Australia
| | - Alan R. Barker
- Children’s Health and Exercise Research Centre, University of Exeter, Exeter EX1 2LU, UK; (A.R.B.); (C.A.W.); (S.D.)
| | - Craig A. Williams
- Children’s Health and Exercise Research Centre, University of Exeter, Exeter EX1 2LU, UK; (A.R.B.); (C.A.W.); (S.D.)
| | - Sarah Denford
- Children’s Health and Exercise Research Centre, University of Exeter, Exeter EX1 2LU, UK; (A.R.B.); (C.A.W.); (S.D.)
- Population Health Sciences, Bristol Medical School, University of Bristol, Bristol BS8 1UD, UK
| | - Kelly A. Mackintosh
- Applied Sports, Technology, Exercise and Medicine Research Centre, Swansea University Bay Campus, Swansea SA1 8EN, UK; (M.S.B.); (K.A.M.)
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12
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Lugones-Sanchez C, Recio-Rodriguez JI, Agudo-Conde C, Repiso-Gento I, G Adalia E, Ramirez-Manent JI, Sanchez-Calavera MA, Rodriguez-Sanchez E, Gomez-Marcos MA, Garcia-Ortiz L. Long-term Effectiveness of a Smartphone App Combined With a Smart Band on Weight Loss, Physical Activity, and Caloric Intake in a Population With Overweight and Obesity (Evident 3 Study): Randomized Controlled Trial. J Med Internet Res 2022; 24:e30416. [PMID: 35103609 PMCID: PMC8848250 DOI: 10.2196/30416] [Citation(s) in RCA: 23] [Impact Index Per Article: 11.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/13/2021] [Revised: 10/18/2021] [Accepted: 11/30/2021] [Indexed: 12/22/2022] Open
Abstract
BACKGROUND Multicomponent mobile health approaches can improve lifestyle intervention results, although little is known about their long-term effectiveness. OBJECTIVE This study aims to evaluate the long-term effectiveness (12 months) of a multicomponent mobile health intervention-combining a smartphone app, an activity tracker wristband, and brief counseling, compared with a brief counseling group only-on weight loss and improving body composition, physical activity, and caloric intake in Spanish sedentary adults with overweight or obesity. METHODS We conducted a randomized controlled, multicenter clinical trial (Evident 3). A total of 650 participants were recruited from 5 primary care centers, with 318 participants in the intervention group (IG) and 332 in the control group (CG). All participants were briefly counseled about a healthy diet and physical activity at the baseline visit. For the 3-month intervention period, the IG received training to use the app to promote healthy lifestyles and the smart band (Mi Band 2, Xiaomi). All measurements were performed at baseline and at 3 and 12 months. Physical activity was measured using the International Physical Activity Questionnaire-Short Form. Nutritional habits were assessed using the Food Frequency Questionnaire and Adherence to Mediterranean diet questionnaire. RESULTS Of the 650 participants included, 563 (86.6%) completed the 3-month visit and 443 (68.2%) completed the 12-month visit. After 12 months, the IG showed net differences in weight (-0.26, 95% CI -1.21 to 0.70 kg; P=.02), BMI (-0.06, 95% CI -0.41 to 0.28 points; P=.01), waist-height ratio (-0.25, 95% CI -0.94 to 0.44; P=.03), body adiposity index (-0.33, 95% CI -0.77 to 0.11; P=.03), waist circumference (-0.48, 95% CI -1.62 to 0.66 cm, P=.04) and hip circumference (-0.69, 95% CI -1.62 to 0.25 cm; P=.03). Both groups lowered daily caloric intake and increased adherence to the Mediterranean diet, with no differences between the groups. The IG increased light physical activity time (32.6, 95% CI -30.3 to 95.04 min/week; P=.02) compared with the CG. Analyses by subgroup showed changes in body composition variables in women, people aged >50 years, and married people. CONCLUSIONS The low-intensity intervention of the Evident 3 study showed, in the IG, benefits in weight loss, some body composition variables, and time spent in light physical activity compared with the CG at 3 months, but once the devices were collected, the downward trend was not maintained at the 12-month follow-up. No differences in nutritional outcomes were observed between the groups. TRIAL REGISTRATION ClinicalTrials.gov NCT03175614; https://clinicaltrials.gov/ct2/show/NCT03175614. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID) RR2-10.1097/MD.0000000000009633.
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Affiliation(s)
- Cristina Lugones-Sanchez
- Primary Care Research Unit of Salamanca (APISAL), Institute of Biomedical Research of Salamanca, Health Service of Castilla y León, Salamanca, Spain
| | - Jose I Recio-Rodriguez
- Primary Care Research Unit of Salamanca (APISAL), Institute of Biomedical Research of Salamanca, Health Service of Castilla y León, Salamanca, Spain.,Department of Nursing and Physiotherapy, University of Salamanca, Salamanca, Spain
| | - Cristina Agudo-Conde
- Primary Care Research Unit of Salamanca (APISAL), Institute of Biomedical Research of Salamanca, Health Service of Castilla y León, Salamanca, Spain
| | - Irene Repiso-Gento
- Renedo de Esgueva Health Center, Health Service of Castilla y León, Valladolid, Spain
| | - Esther G Adalia
- Health and Social Research Center, University of Castilla-La Mancha, Cuenca, Spain
| | - José Ignacio Ramirez-Manent
- Calvià Primary Care Center, The Health Research Institute of the Balearic Islands, Health Service of Balearic Islands, Palma de Mallorca, Spain.,Department of Medicine, University of the Balearic Islands, Palma de Mallorca, Spain
| | - Maria Antonia Sanchez-Calavera
- Las Fuentes Norte Health Center, Aragonese Group of Primary Care Research (GAIAP), Aragon Health Research Institute (IISA), Aragon Health Service, Zaragoza, Spain.,Department of Internal Medicine, Psychiatry and Dermatology, University of Zaragoza, Zaragoza, Spain
| | - Emiliano Rodriguez-Sanchez
- Primary Care Research Unit of Salamanca (APISAL), Institute of Biomedical Research of Salamanca, Health Service of Castilla y León, Salamanca, Spain.,Department of Medicine, University of Salamanca, Salamanca, Spain
| | - Manuel A Gomez-Marcos
- Primary Care Research Unit of Salamanca (APISAL), Institute of Biomedical Research of Salamanca, Health Service of Castilla y León, Salamanca, Spain.,Department of Medicine, University of Salamanca, Salamanca, Spain
| | - Luis Garcia-Ortiz
- Primary Care Research Unit of Salamanca (APISAL), Institute of Biomedical Research of Salamanca, Health Service of Castilla y León, Salamanca, Spain.,Department of Biomedical and Diagnostic Sciences, University of Salamanca, Salamanca, Spain
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- See Acknowledgements, Barcelona, Spain
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13
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Ding C, Fan J, Yuan F, Feng G, Gong W, Song C, Ma Y, Chen Z, Liu A. Association between Physical Activity, Sedentary Behaviors, Sleep, Diet, and Adiposity among Children and Adolescents in China. Obes Facts 2022; 15:26-35. [PMID: 34784593 PMCID: PMC8820170 DOI: 10.1159/000519268] [Citation(s) in RCA: 17] [Impact Index Per Article: 8.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/09/2020] [Accepted: 08/25/2021] [Indexed: 11/19/2022] Open
Abstract
INTRODUCTION Physical activity (PA), sedentary behaviors (SB), sleep, and diet are related to adiposity among children and adolescents. However, there may be interactions between PA, SB, sleep, and diet, and these lifestyle behaviors may work together to affect body weight. The purpose of this study was to explore the impact of multiple lifestyle behaviors of PA, SB, sleep, and diet on childhood adiposity (body mass index z-score and overweight/obesity), and to investigate the effect of meeting multiple guidelines on adiposity among children and adolescents in China. METHODS Cross-sectional results were based on 28,048 children aged 6-17 years from the China National Nutrition and Health Surveillance in 2010-2012. Information about PA, SB, and sleep was measured through interview-administered questionnaire. Dietary intake was assessed with food frequency questionnaire. The associations between multiple lifestyle behaviors and BMI z-score and overweight/obese were examined. RESULTS The prevalence of overweight/obesity in the participants was 19.2%. The average time of moderate-to-vigorous PA (MVPA), leisure SB, and sleep was 76.7 ± 45.5 min, 2.9 ± 1.4 h, and 8.5 ± 1.1 h per day, respectively. The China Dietary Guidelines Index for Youth (CDGI-Y) score was 62.6 ± 11.0. Sleep duration and diet score were negative associated with BMI z-score (both p < 0.001). MVPA and SB time were positive associated with BMI z-score (p = 0.041, 0.004). Meeting the SB, sleep, and diet guidelines had a lower BMI z-score (all p < 0.01) and lower odds of overweight/obesity (all p < 0.05). There were significant interactions between PA and diet. Compared with meeting no guidelines, those who met multiple guidelines had a lower risk of overweight/obesity (all p < 0.01). The more guidelines the participants met, the lower odds of overweight/obesity (p for trend <0.001). CONCLUSIONS PA, SB, sleep, and diet are important behaviors associated with adiposity among children and adolescents. Attaining adequate amounts of appropriate multiple behaviors provided an additional benefit. It is important for children to meet recommended behavioral guidelines or recommendations. Interventions that aim to improve awareness of and compliance with these guidelines are needed in future.
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Affiliation(s)
- Caicui Ding
- Department of Nutrition and Health Education, National Institute for Nutrition and Health, Chinese Center for Disease Control and Prevention, Beijing, China,
| | - Jing Fan
- Department of Nutrition and Health Education, National Institute for Nutrition and Health, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Fan Yuan
- Department of Nutrition and Health Education, National Institute for Nutrition and Health, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Ganyu Feng
- Department of Nutrition and Health Education, National Institute for Nutrition and Health, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Weiyan Gong
- Department of Nutrition and Health Education, National Institute for Nutrition and Health, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Chao Song
- Department of Nutrition and Health Education, National Institute for Nutrition and Health, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Yanning Ma
- Department of Nutrition and Health Education, National Institute for Nutrition and Health, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Zheng Chen
- Department of Nutrition and Health Education, National Institute for Nutrition and Health, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Ailing Liu
- Department of Nutrition and Health Education, National Institute for Nutrition and Health, Chinese Center for Disease Control and Prevention, Beijing, China
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14
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Navas-Carretero S, San-Cristobal R, Siig Vestentoft P, Brand-Miller JC, Jalo E, Westerterp-Plantenga M, Simpson EJ, Handjieva-Darlenska T, Stratton G, Huttunen-Lenz M, Lam T, Muirhead R, Poppitt S, Pietiläinen KH, Adam T, Taylor MA, Handjiev S, McNarry MA, Hansen S, Brodie S, Silvestre MP, Macdonald IA, Boyadjieva N, Mackintosh KA, Schlicht W, Liu A, Larsen TM, Fogelholm M, Raben A, Martinez JA. Appraisal of Triglyceride-Related Markers as Early Predictors of Metabolic Outcomes in the PREVIEW Lifestyle Intervention: A Controlled Post-hoc Trial. Front Nutr 2021; 8:733697. [PMID: 34790686 PMCID: PMC8592084 DOI: 10.3389/fnut.2021.733697] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/30/2021] [Accepted: 09/24/2021] [Indexed: 12/19/2022] Open
Abstract
Background: Individuals with pre-diabetes are commonly overweight and benefit from dietary and physical activity strategies aimed at decreasing body weight and hyperglycemia. Early insulin resistance can be estimated via the triglyceride glucose index {TyG = Ln [TG (mg/dl) × fasting plasma glucose (FPG) (mg/dl)/2]} and the hypertriglyceridemic-high waist phenotype (TyG-waist), based on TyG x waist circumference (WC) measurements. Both indices may be useful for implementing personalized metabolic management. In this secondary analysis of a randomized controlled trial (RCT), we aimed to determine whether the differences in baseline TyG values and TyG-waist phenotype predicted individual responses to type-2 diabetes (T2D) prevention programs. Methods: The present post-hoc analyses were conducted within the Prevention of Diabetes through Lifestyle intervention and population studies in Europe and around the world (PREVIEW) study completers (n = 899), a multi-center RCT conducted in eight countries (NCT01777893). The study aimed to reduce the incidence of T2D in a population with pre-diabetes during a 3-year randomized intervention with two sequential phases. The first phase was a 2-month weight loss intervention to achieve ≥8% weight loss. The second phase was a 34-month weight loss maintenance intervention with two diets providing different amounts of protein and different glycemic indices, and two physical activity programs with different exercise intensities in a 2 x 2 factorial design. On investigation days, we assessed anthropometrics, glucose/lipid metabolism markers, and diet and exercise questionnaires under standardized procedures. Results: Diabetes-related markers improved during all four lifestyle interventions. Higher baseline TyG index (p < 0.001) was associated with greater reductions in body weight, fasting glucose, and triglyceride (TG), while a high TyG-waist phenotype predicted better TG responses, particularly in those randomized to physical activity (PA) of moderate intensity. Conclusions: Two novel indices of insulin resistance (TyG and TyG-waist) may allow for a more personalized approach to avoiding progression to T2D. Clinical Trial Registration: https://clinicaltrials.gov/ct2/show/NCT01777893 reference, identifier: NCT01777893.
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Affiliation(s)
- Santiago Navas-Carretero
- Center for Nutrition Research, University of Navarra, Pamplona, Spain.,Centro de Investigación Biomédica en Red (CIBER) obn, Instituto de Salud Carlos III, Madrid, Spain.,IdiSNA, Navarra Institute for Health Research, Pamplona, Spain
| | | | - Pia Siig Vestentoft
- Department of Nutrition, Exercise and Sports, Faculty of Science, University of Copenhagen, Copenhagen, Denmark
| | - Jennie C Brand-Miller
- School of Life and Environmental Sciences and Charles Perkins Centre, The University of Sydney, Sydney, NSW, Australia
| | - Elli Jalo
- Department of Food and Nutrition, University of Helsinki, Helsinki, Finland
| | - Margriet Westerterp-Plantenga
- Department of Nutrition and Movement Sciences, NUTRIM, School of Nutrition and Translational Research in Metabolism, Maastricht University, Maastricht, Netherlands
| | - Elizabeth J Simpson
- Division of Physiology, Pharmacology and Neuroscience, MRC/ARUK Centre for Musculoskeletal Ageing Research, ARUK Centre for Sport, Exercise and Osteoarthritis, National Institute for Health Research (NIHR) Nottingham Biomedical Research Centre, School of Life Sciences, Queen's Medical Centre, Nottingham, United Kingdom
| | | | - Gareth Stratton
- Applied Sports Technology, Exercise and Medicine (A-STEM) Research Centre, College of Engineering, Swansea, United Kingdom
| | - Maija Huttunen-Lenz
- Institute of Nursing Science, University of Education, Schwäbisch Gmünd, Germany
| | - Tony Lam
- NetUnion Sarl, Lausanne, Switzerland
| | - Roslyn Muirhead
- School of Life and Environmental Sciences and Charles Perkins Centre, The University of Sydney, Sydney, NSW, Australia
| | - Sally Poppitt
- Human Nutrition Unit, Department of Medicine, School of Biological Sciences, University of Auckland, Auckland, New Zealand
| | - Kirsi H Pietiläinen
- Obesity Research Unit, Diabetes and Obesity Research Program, University of Helsinki and Endocrinology, Helsinki, Finland.,Abdominal Center, Helsinki University Hospital and University of Helsinki, Helsinki, Finland
| | - Tanja Adam
- Department of Nutrition and Movement Sciences, NUTRIM, School of Nutrition and Translational Research in Metabolism, Maastricht University, Maastricht, Netherlands
| | - Moira A Taylor
- Division of Physiology, Pharmacology and Neuroscience, MRC/ARUK Centre for Musculoskeletal Ageing Research, ARUK Centre for Sport, Exercise and Osteoarthritis, National Institute for Health Research (NIHR) Nottingham Biomedical Research Centre, School of Life Sciences, Queen's Medical Centre, Nottingham, United Kingdom
| | - Svetoslav Handjiev
- Department of Pharmacology and Toxicology, Medical University of Sofia, Sofia, Bulgaria
| | - Melitta A McNarry
- Applied Sports Technology, Exercise and Medicine (A-STEM) Research Centre, College of Engineering, Swansea, United Kingdom
| | - Sylvia Hansen
- Cologne Center for Ethics, Rights, Economics, and Social Sciences of Health, University of Cologne, Cologne, Germany
| | - Shannon Brodie
- School of Life and Environmental Sciences and Charles Perkins Centre, The University of Sydney, Sydney, NSW, Australia
| | - Marta P Silvestre
- Human Nutrition Unit, Department of Medicine, School of Biological Sciences, University of Auckland, Auckland, New Zealand.,Center for Health Technology Services Research (CINTESIS), NOVA Medical School, NMS, Universidade Nova de Lisboa, Lisboa, Portugal
| | - Ian A Macdonald
- Division of Physiology, Pharmacology and Neuroscience, MRC/ARUK Centre for Musculoskeletal Ageing Research, ARUK Centre for Sport, Exercise and Osteoarthritis, National Institute for Health Research (NIHR) Nottingham Biomedical Research Centre, School of Life Sciences, Queen's Medical Centre, Nottingham, United Kingdom
| | - Nadka Boyadjieva
- Department of Pharmacology and Toxicology, Medical University of Sofia, Sofia, Bulgaria
| | - Kelly A Mackintosh
- Applied Sports Technology, Exercise and Medicine (A-STEM) Research Centre, College of Engineering, Swansea, United Kingdom
| | - Wolfgang Schlicht
- Exercise and Health Sciences, University of Stuttgart, Nobelstraße, Germany
| | - Amy Liu
- Human Nutrition Unit, Department of Medicine, School of Biological Sciences, University of Auckland, Auckland, New Zealand
| | - Thomas M Larsen
- Department of Nutrition, Exercise and Sports, Faculty of Science, University of Copenhagen, Copenhagen, Denmark
| | - Mikael Fogelholm
- Department of Food and Nutrition, University of Helsinki, Helsinki, Finland
| | - Anne Raben
- Department of Nutrition, Exercise and Sports, Faculty of Science, University of Copenhagen, Copenhagen, Denmark.,Steno Diabetes Centre Copenhagen, Gentofte, Denmark
| | - J Alfredo Martinez
- Center for Nutrition Research, University of Navarra, Pamplona, Spain.,Centro de Investigación Biomédica en Red (CIBER) obn, Instituto de Salud Carlos III, Madrid, Spain.,IdiSNA, Navarra Institute for Health Research, Pamplona, Spain
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15
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Alme KN, Askim T, Assmus J, Mollnes TE, Naik M, Næss H, Saltvedt I, Ueland PM, Ulvik A, Knapskog AB. Investigating novel biomarkers of immune activation and modulation in the context of sedentary behaviour: a multicentre prospective ischemic stroke cohort study. BMC Neurol 2021; 21:318. [PMID: 34399717 PMCID: PMC8365944 DOI: 10.1186/s12883-021-02343-0] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/18/2021] [Accepted: 07/26/2021] [Indexed: 12/11/2022] Open
Abstract
Background Sedentary behaviour is associated with disease, but the molecular mechanisms are not understood. Valid biomarkers with predictive and explanatory properties are required. Therefore, we have investigated traditional and novel biomarkers of inflammation and immune modulation and their association to objectively measured sedentary behaviour in an ischemic stroke population. Methods Patients admitted to hospital with acute ischemic stroke were included in the multicentre Norwegian Cognitive Impairment After Stroke (Nor-COAST) study (n = 815). For this sub-study (n = 257), sedentary behaviour was registered 3 months after stroke using position transition data from the body-worn sensor, ActivPal®. Blood samples were analysed for high sensitive C-reactive protein (hsCRP), the cytokines interleukin-6 (IL-6) and 10 (IL-10), neopterin, tryptophan (Trp), kynurenine (kyn), kynurenic acid (KA), and three B6 vitamers, pyridoxal 5′-phosphate (PLP), pyridoxal (PL), and pyridoxic acid (PA). The kynurenine/tryptophan ratio (KTR) and the pyridoxic acid ratio index (PAr = PA: PL + PLP) were calculated. Results Of the 815 patients included in the main study, 700 attended the three-month follow-up, and 257 fulfilled the inclusion criteria for this study. Sedentary time was significantly associated with levels of hsCRP, IL-6, neopterin, PAr-index, and KA adjusted for age, sex, waist circumference, and creatinine. In a fully adjusted model including all the significant biomarkers except hsCRP (because of missing values), sedentary time was independently positively associated with the PAr-index and negatively with KA. We did not find an association between sedentary behaviour, IL-10, and KTR. Conclusions The PAr-index is known to capture several modes of inflammation and has previously shown predictive abilities for future stroke. This novel result indicates that the PAr-index could be a useful biomarker in future studies on sedentary behaviour and disease progression. KA is an important modulator of inflammation, and this finding opens new and exciting pathways to understand the hazards of sedentary behaviour. Trial registration The study was registered at Clinicaltrials.gov (NCT02650531). First posted 08/01/2016. Supplementary Information The online version contains supplementary material available at 10.1186/s12883-021-02343-0.
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Affiliation(s)
- Katinka Nordheim Alme
- Institute of Clinical Medicine (K1), University of Bergen, Bergen, Norway. .,Department of Internal Medicine, Haraldsplass Deaconess Hospital, Bergen, Norway.
| | - Torunn Askim
- Department of Neuromedicine and Movement Science, Faculty of Medicine and Health Science, NTNU-Norwegian University of Science and Technology, Trondheim, Norway
| | - Jörg Assmus
- Centre for Clinical Research, Haukeland University Hospital, Bergen, Norway
| | - Tom Eirik Mollnes
- Department of Immunology, Oslo University Hospital and University of Oslo, Oslo, Norway.,Research Laboratory, Nordland Hospital, Bodø, and K.G. Jebsen TREC, University of Tromsø, Tromsø, Norway.,Centre of Molecular Inflammation Research, Norwegian University of Science and Technology, Trondheim, Norway
| | - Mala Naik
- Department of Internal Medicine, Haraldsplass Deaconess Hospital, Bergen, Norway.,Department of Clinical Science (K2), University of Bergen, Bergen, Norway
| | - Halvor Næss
- Institute of Clinical Medicine (K1), University of Bergen, Bergen, Norway.,Department of Neurology, Haukeland University Hospital, Bergen, Norway.,Centre for age-related medicine, Stavanger University Hospital, Stavanger, Norway
| | - Ingvild Saltvedt
- Department of Neuromedicine and Movement Science, Faculty of Medicine and Health Science, NTNU-Norwegian University of Science and Technology, Trondheim, Norway.,Department of Geriatrics, Clinic of internal medicine, St Olavs Hospital, Trondheim University Hospital, Trondheim, Norway
| | | | | | - Anne-Brita Knapskog
- Department of Geriatric Medicine, Oslo University Hospital, Ullevaal, Oslo, Norway
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16
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Zhu R, Fogelholm M, Larsen TM, Poppitt SD, Silvestre MP, Vestentoft PS, Jalo E, Navas-Carretero S, Huttunen-Lenz M, Taylor MA, Stratton G, Swindell N, Kaartinen NE, Lam T, Handjieva-Darlenska T, Handjiev S, Schlicht W, Martinez JA, Seimon RV, Sainsbury A, Macdonald IA, Westerterp-Plantenga MS, Brand-Miller J, Raben A. A High-Protein, Low Glycemic Index Diet Suppresses Hunger but Not Weight Regain After Weight Loss: Results From a Large, 3-Years Randomized Trial (PREVIEW). Front Nutr 2021; 8:685648. [PMID: 34141717 PMCID: PMC8203925 DOI: 10.3389/fnut.2021.685648] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/25/2021] [Accepted: 04/27/2021] [Indexed: 11/13/2022] Open
Abstract
Background: Previous studies have shown an increase in hunger during weight-loss maintenance (WLM) after diet-induced weight loss. Whether a combination of a higher protein, lower glycemic index (GI) diet and physical activity (PA) can counteract this change remains unclear. Aim: To compare the long-term effects of two diets [high protein (HP)-low GI vs. moderate protein (MP)-moderate GI] and two PA programs [high intensity (HI) vs. moderate intensity (MI)] on subjective appetite sensations during WLM after ≥8% weight loss (WL). Methods: Data derived from the 3-years PREVIEW randomized intervention study. An 8-weeks WL phase using a low-energy diet was followed by a 148-weeks randomized WLM phase. For the WLM phase, participants were assigned to one of the four groups: HP-MI, HP-HI, MP-MI, and MP-HI. Available data from 2,223 participants with overweight or obesity (68% women; BMI ≥ 25 kg/m2). Appetite sensations including satiety, hunger, desire to eat, and desire to eat something sweet during the two phases (at 0, 8 weeks and 26, 52, 104, and 156 weeks) were assessed based on the recall of feelings during the previous week using visual analogue scales. Differences in changes in appetite sensations from baseline between the groups were determined using linear mixed models with repeated measures. Results: There was no significant diet × PA interaction. From 52 weeks onwards, decreases in hunger were significantly greater in HP-low GI than MP-moderate GI (P time × diet = 0.018, P dietgroup = 0.021). Although there was no difference in weight regain between the diet groups (P time × diet = 0.630), hunger and satiety ratings correlated with changes in body weight at most timepoints. There were no significant differences in appetite sensations between the two PA groups. Decreases in hunger ratings were greater at 52 and 104 weeks in HP-HI vs. MP-HI, and greater at 104 and 156 weeks in HP-HI vs. MP-MI. Conclusions: This is the first long-term, large-scale randomized intervention to report that a HP-low GI diet was superior in preventing an increase in hunger, but not weight regain, during 3-years WLM compared with a MP-moderate GI diet. Similarly, HP-HI outperformed MP-HI in suppressing hunger. The role of exercise intensity requires further investigation. Clinical Trial Registration: www.ClinicalTrials.gov, identifier: NCT01777893.
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Affiliation(s)
- Ruixin Zhu
- Department of Nutrition, Exercise and Sports, Faculty of Science, University of Copenhagen, Copenhagen, Denmark
| | - Mikael Fogelholm
- Department of Food and Nutrition, University of Helsinki, Helsinki, Finland
| | - Thomas M Larsen
- Department of Nutrition, Exercise and Sports, Faculty of Science, University of Copenhagen, Copenhagen, Denmark
| | - Sally D Poppitt
- Human Nutrition Unit, School of Biological Sciences, Department of Medicine, University of Auckland, Auckland, New Zealand
| | - Marta P Silvestre
- Human Nutrition Unit, School of Biological Sciences, Department of Medicine, University of Auckland, Auckland, New Zealand.,Center for Health Technology Services Research, NOVA Medical School, Universidade Nova de Lisboa, Lisbon, Portugal
| | - Pia S Vestentoft
- Department of Nutrition, Exercise and Sports, Faculty of Science, University of Copenhagen, Copenhagen, Denmark
| | - Elli Jalo
- Department of Food and Nutrition, University of Helsinki, Helsinki, Finland
| | - Santiago Navas-Carretero
- Department of Nutrition, University of Navarra, Pamplona, Spain.,CIBERobn, Instituto de Salud Carlos III, Madrid, Spain.,Precision Nutrition Program, IMDEA Food, Campus de Excelencia Internacional, Universidad Autónoma de Madrid + Consejo Superior de Investigaciones Científicas, Madrid, Spain
| | - Maija Huttunen-Lenz
- Institute for Nursing Science, University of Education Schwäbisch Gmünd, Schwäbisch Gmünd, Germany
| | - Moira A Taylor
- Division of Physiology, Pharmacology and Neuroscience, School of Life Sciences, Queen's Medical Centre, Nottingham, United Kingdom.,National Institute for Health Research (NIHR) Nottingham Biomedical Research Centre, Nottingham, United Kingdom
| | - Gareth Stratton
- Applied Sports, Technology, Exercise and Medicine (A-STEM) Research Centre, Swansea University, Swansea, United Kingdom
| | - Nils Swindell
- Applied Sports, Technology, Exercise and Medicine (A-STEM) Research Centre, Swansea University, Swansea, United Kingdom
| | - Niina E Kaartinen
- Department of Public Health and Welfare, Finnish Institute for Health and Welfare, Helsinki, Finland
| | - Tony Lam
- NetUnion sarl, Lausanne, Switzerland
| | | | - Svetoslav Handjiev
- Department of Pharmacology and Toxicology, Medical University of Sofia, Sofia, Bulgaria
| | - Wolfgang Schlicht
- Exercise and Health Sciences, University of Stuttgart, Stuttgart, Germany
| | - J Alfredo Martinez
- Department of Nutrition, University of Navarra, Pamplona, Spain.,CIBERobn, Instituto de Salud Carlos III, Madrid, Spain.,Precision Nutrition Program, IMDEA Food, Campus de Excelencia Internacional, Universidad Autónoma de Madrid + Consejo Superior de Investigaciones Científicas, Madrid, Spain
| | - Radhika V Seimon
- The Boden Collaboration for Obesity, Nutrition, Exercise, and Eating Disorders, Faculty of Medicine and Health, Charles Perkins Centre, The University of Sydney, Camperdown, NSW, Australia
| | - Amanda Sainsbury
- School of Human Sciences (Exercise and Sports Science), Faculty of Science, The University of Western Australia, Crawley, WA, Australia
| | - Ian A Macdonald
- Division of Physiology, Pharmacology and Neuroscience, School of Life Sciences, Queen's Medical Centre, MRC/ARUK Centre for Musculoskeletal Ageing Research, ARUK Centre for Sport, Exercise and Osteoarthritis, National Institute for Health Research (NIHR) Nottingham Biomedical Research Centre, Nottingham, United Kingdom
| | - Margriet S Westerterp-Plantenga
- Department of Nutrition and Movement Sciences, NUTRIM, School of Nutrition and Translational Research in Metabolism, Maastricht University, Maastricht, Netherlands
| | - Jennie Brand-Miller
- School of Life and Environmental Sciences and Charles Perkins Centre, The University of Sydney, Sydney, NSW, Australia
| | - Anne Raben
- Department of Nutrition, Exercise and Sports, Faculty of Science, University of Copenhagen, Copenhagen, Denmark.,Steno Diabetes Center Copenhagen, Gentofte, Denmark
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17
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Jadhav RA, Maiya GA, Hombali A, Umakanth S, Shivashankar KN. Effect of physical activity promotion on adiponectin, leptin and other inflammatory markers in prediabetes: a systematic review and meta-analysis of randomized controlled trials. Acta Diabetol 2021; 58:419-429. [PMID: 33211181 PMCID: PMC8053655 DOI: 10.1007/s00592-020-01626-1] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/01/2020] [Accepted: 10/21/2020] [Indexed: 12/16/2022]
Abstract
AIMS Inflammatory stage in prediabetes is associated with increase in level of adipokines and pro-inflammatory cytokines. Physical activity promotion considered as a first-line therapeutic strategy to treat prediabetes. We have conducted the systematic review and meta-analysis to strengthen the evidence on the impact of physical activity promotion on inflammatory markers in prediabetes. METHODS Studies were identified using electronic search and manual search techniques by choosing keywords for prediabetes, physical activity and inflammatory marker. Randomized controlled trials on individuals diagnosed with prediabetes and provided intervention in the form of physical activity were included in this review. Adiponectin, leptin, C-reactive protein, interleukin-6 and tumour necrosis factor-α were the considered outcome measures. RESULTS Our search retrieved 1,688 citations, 31 full-text articles assessed for eligibility of inclusion. Nine studies satisfied the pre-specified criteria for inclusion. Meta-analysis found that physical activity with or without dietary or lifestyle modification reduces level of leptin (MD-2.11 ng/mL, 95% CI -3.81 - -0.42) and interleukin-6 (MD -0.15 pg/mL, 95% CI -0.25--0.04). It has no effect on level of adiponectin (MD 0.26 µg/mL, 95% CI -0.42- 0.93), C-reactive protein (MD -0.05 mg/L, 95% CI -0.33-0.23) and tumour necrosis factor-α (MD 0.67 pg/mL, 95% CI -2.56-3.89). CONCLUSIONS This review suggests that physical activity promotion with dietary and lifestyle modification may reduce the level of leptin and interleukin-6 but are uncertain if there is any effect on levels of adiponectin, C-reactive protein and tumour necrosis factor-α in the individuals with prediabetes.
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Affiliation(s)
- Radhika Aditya Jadhav
- Department of Physiotherapy, Centre for Diabetic Foot Care and Research, Manipal College of Health Professions, Manipal Academy of Higher Education, Manipal, 576104, Karnataka, India
| | - G Arun Maiya
- Department of Physiotherapy, Centre for Diabetic Foot Care and Research, Manipal College of Health Professions, Manipal Academy of Higher Education, Manipal, 576104, Karnataka, India.
| | - Aditi Hombali
- Independent Systematic Reviewer, Luton, Bedfordshire, UK
| | - Shashikiran Umakanth
- Department of Medicine, Melaka Manipal Medical College, Manipal Academy of Higher Education, Manipal, 576104, Karnataka, India
| | - K N Shivashankar
- Department of Medicine, Kasturba Medical College, Manipal Academy of Higher Education, Manipal, 576104, Karnataka, India
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18
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Kim G, Lee JS, Lee SK. A Technology-Mediated Interventional Approach to the Prevention of Metabolic Syndrome: A Systematic Review and Meta-Analysis. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2021; 18:E512. [PMID: 33435158 PMCID: PMC7828066 DOI: 10.3390/ijerph18020512] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 10/26/2020] [Revised: 12/30/2020] [Accepted: 01/06/2021] [Indexed: 01/10/2023]
Abstract
BACKGROUND Technology-mediated interventions help overcome barriers to program delivery and spread metabolic syndrome prevention programs on a large scale. A meta-analysis was performed to evaluate the impact of these technology-mediated interventions on metabolic syndrome prevention. METHODS In this meta-analysis, from 30 January 2018, three databases were searched to evaluate interventions using techniques to propagate diet and exercise lifestyle programs for adult patients with metabolic syndrome or metabolic risk. RESULTS Search results found 535 citations. Of these, 18 studies met the inclusion criteria analyzed in this article. The median duration of intervention was 4 months and the follow-up period ranged from 1.5 to 30 months. The standardized mean difference (SMD) between the two groups was waist circumference -0.35 (95% CI -0.54, -0.15), triglyceride -0.14 (95% CI -0.26, -0.03), fasting blood glucose -0.31 (95% CI -0.42, -0.19), body weight -1.34 (95% CI -2.04, -0.64), and body mass index -1.36 (95% CI -2.21, -0.51). There was no publication bias in this study. CONCLUSION Technology-mediated intervention improved clinically important metabolic syndrome related indicators such as excess body fat around the waist, fasting glucose, and body mass index. These interventions will play an important role in the dissemination of metabolic syndrome prevention programs.
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Affiliation(s)
| | | | - Soo-Kyoung Lee
- Nursing College, Keimyung University, 1095 Dalgubeol-daero, Dalseo-gu, Daegu 42601, Korea; (G.K.); (J.-S.L.)
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19
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Galmes-Panades AM, Konieczna J, Varela-Mato V, Abete I, Babio N, Fiol M, Antonio de Paz J, Casas R, Olbeyra R, Ruiz-Canela M, Palau-Galindo A, Castañer O, Martín-García A, Estruch R, Vidal J, Buil-Cosiales P, Wärnberg J, Salas-Salvadó J, Martínez JA, Romaguera D. Targeting body composition in an older population: do changes in movement behaviours matter? Longitudinal analyses in the PREDIMED-Plus trial. BMC Med 2021; 19:3. [PMID: 33402165 PMCID: PMC7786490 DOI: 10.1186/s12916-020-01847-9] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/23/2020] [Accepted: 11/09/2020] [Indexed: 12/14/2022] Open
Abstract
BACKGROUND The optimal distribution between physical activity (PA) levels and sedentary behaviour (SB) for the greatest benefits for body composition among older adults with overweight/obesity and chronic health conditions remains unclear. We aimed to determine the prospective association between changes in PA and in SB with concurrent changes in body composition and to examine whether reallocating inactive time into different physical activity levels was associated with 12-month change to body composition in older adults. METHODS Longitudinal assessment nested in the PREDIMED-Plus trial. A subsample (n = 1564) of men and women (age 55-75 years) with overweight/obesity and metabolic syndrome from both arms of the PREDIMED-Plus trial was included in the present analysis. Participants were followed up at 6 and 12 months. Physical activity and SB were assessed using validated questionnaires. Out of 1564 participants, 388 wore an accelerometer to objectively measure inactive time and PA over a 7-day period. At each time point, participants' body composition was measured using dual-energy X-ray absorptiometry (DXA). Standard covariate-adjusted and isotemporal substitution modelling were applied to linear mixed-effects models. RESULTS Increasing 30 min of total PA and moderate-to-vigorous physical activity (MVPA) was associated with significant reductions in body fat (β - 0.07% and - 0.08%) and visceral adipose tissue (VAT) (- 13.9 g, and - 15.6 g) at 12 months (all p values < 0.001). Reallocating 30 min of inactive time to MVPA was associated with reductions in body fat and VAT and with an increase in muscle mass and muscle-to-fat mass ratio (all p values < 0.001). CONCLUSIONS At 12 months, increasing total PA and MVPA and reducing total SB and TV-viewing SB were associated with improved body composition in participants with overweight or obesity, and metabolic syndrome. This was also observed when substituting 30 min of inactive time with total PA, LPA and MVPA, with the greatest benefits observed with MVPA. TRIAL REGISTRATION International Standard Randomized Controlled Trial (ISRCTN), 89898870 . Retrospectively registered on 24 July 2014.
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Affiliation(s)
- Aina M Galmes-Panades
- Consorcio CIBER, M.P. Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), Madrid, Spain.,Research Group on Nutritional Epidemiology & Cardiovascular Physiopathology (NUTRECOR), Health Research Institute of the Balearic Islands (IdISBa), University Hospital Son Espases (HUSE), Palma de Mallorca, Spain
| | - Jadwiga Konieczna
- Consorcio CIBER, M.P. Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), Madrid, Spain. .,Research Group on Nutritional Epidemiology & Cardiovascular Physiopathology (NUTRECOR), Health Research Institute of the Balearic Islands (IdISBa), University Hospital Son Espases (HUSE), Palma de Mallorca, Spain.
| | - Veronica Varela-Mato
- School of Sport, Exercise and Health Science, Loughborough University, Loughborough, UK
| | - Itziar Abete
- Consorcio CIBER, M.P. Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), Madrid, Spain.,Department of Nutrition, Food Sciences and Physiology, Center for Nutrition Research, University of Navarra, Pamplona, Spain.,Navarra Institute for Health Research (IdiSNA), University of Navarra, Pamplona, Spain
| | - Nancy Babio
- Consorcio CIBER, M.P. Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), Madrid, Spain.,Universitat Rovira i Virgili, Departament de Bioquímica i Biotecnologia, Unitat de Nutrició Humana, Reus, Spain.,Institut d'Investigació Sanitària Pere Virgili (IISPV), Hospital Universitari San Joan de Reus, Reus, Spain
| | - Miquel Fiol
- Consorcio CIBER, M.P. Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), Madrid, Spain.,Research Group on Nutritional Epidemiology & Cardiovascular Physiopathology (NUTRECOR), Health Research Institute of the Balearic Islands (IdISBa), University Hospital Son Espases (HUSE), Palma de Mallorca, Spain
| | | | - Rosa Casas
- Consorcio CIBER, M.P. Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), Madrid, Spain.,Department of Internal Medicine, Institut d'Investigacions Biomèdiques August Pi Sunyer (IDIBAPS), Hospital Clinic, University of Barcelona, Barcelona, Spain
| | - Romina Olbeyra
- Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Barcelona, Spain
| | - Miguel Ruiz-Canela
- Consorcio CIBER, M.P. Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), Madrid, Spain.,Department of Preventive Medicine and Public Health, IDiSNA, University of Navarra, Pamplona, Spain
| | - Antoni Palau-Galindo
- Universitat Rovira i Virgili, Departament de Bioquímica i Biotecnologia, Unitat de Nutrició Humana, Reus, Spain.,Institut d'Investigació Sanitària Pere Virgili (IISPV), Hospital Universitari San Joan de Reus, Reus, Spain.,ABS Reus V. Centre d'Assistència Primària Marià Fortuny, SAGESSA, Reus, Spain
| | - Olga Castañer
- Consorcio CIBER, M.P. Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), Madrid, Spain.,Unit of Cardiovascular Risk and Nutrition, Institut Hospital del Mar d'Investigacions Mèdiques (IMIM), Barcelona, Spain
| | - Arturo Martín-García
- Research Group in Gene-Environment Interactions and Health, Instituto de Biomedicina (IBIOMED), University of León, León, Spain
| | - Ramón Estruch
- Consorcio CIBER, M.P. Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), Madrid, Spain.,Department of Internal Medicine, Institut d'Investigacions Biomèdiques August Pi Sunyer (IDIBAPS), Hospital Clinic, University of Barcelona, Barcelona, Spain
| | - Josep Vidal
- Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Barcelona, Spain.,CIBER Diabetes y Enfermedades Metabólicas (CIBERDEM), Instituto de Salud Carlos III (ISCIII), Madrid, Spain.,Endocrinology and Nutrition Department, Obesity Unit, Hospital Clinic, Barcelona, Spain
| | - Pilar Buil-Cosiales
- Consorcio CIBER, M.P. Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), Madrid, Spain.,Department of Preventive Medicine and Public Health, IDiSNA, University of Navarra, Pamplona, Spain.,Primary Health Care, Servicio Navarro de Salud, Navarra, Spain
| | - Julia Wärnberg
- Consorcio CIBER, M.P. Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), Madrid, Spain.,School of Health Sciences, University of Málaga-Institute of Biomedical Research in Malaga (IBIMA), Málaga, Spain
| | - Jordi Salas-Salvadó
- Consorcio CIBER, M.P. Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), Madrid, Spain.,Universitat Rovira i Virgili, Departament de Bioquímica i Biotecnologia, Unitat de Nutrició Humana, Reus, Spain.,Institut d'Investigació Sanitària Pere Virgili (IISPV), Hospital Universitari San Joan de Reus, Reus, Spain
| | - J Alfredo Martínez
- Consorcio CIBER, M.P. Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), Madrid, Spain.,Department of Nutrition, Food Sciences and Physiology, Center for Nutrition Research, University of Navarra, Pamplona, Spain.,Navarra Institute for Health Research (IdiSNA), University of Navarra, Pamplona, Spain.,Precision Nutrition and Cardiometabolic Health program, IMDEA Food, CEI UAM + CSIC, Madrid, Spain
| | - Dora Romaguera
- Consorcio CIBER, M.P. Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), Madrid, Spain.,Research Group on Nutritional Epidemiology & Cardiovascular Physiopathology (NUTRECOR), Health Research Institute of the Balearic Islands (IdISBa), University Hospital Son Espases (HUSE), Palma de Mallorca, Spain
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20
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Vaingankar JA, Müller-Riemenschneider F, Chu AHY, Subramaniam M, Tan LWL, Chong SA, van Dam RM. Sleep Duration, Sleep Quality and Physical Activity, but Not Sedentary Behaviour, Are Associated with Positive Mental Health in a Multi-Ethnic Asian Population: A Cross-Sectional Evaluation. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2020; 17:ijerph17228489. [PMID: 33207763 PMCID: PMC7697582 DOI: 10.3390/ijerph17228489] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Received: 09/30/2020] [Revised: 11/10/2020] [Accepted: 11/14/2020] [Indexed: 12/13/2022]
Abstract
BACKGROUND We assessed the associations of sleep, physical activity and sedentary behaviour with positive mental health (PMH) in the multi-ethnic population of Singapore. METHODS The Singapore Health 2 study is a nationally representative cross-sectional survey among residents aged 18-79 years. A PMH instrument was administered to 1925 participants to obtain total PMH and six sub-component scores. Self-rated sleep duration, sleep quality, sedentary behaviour and physical activity were assessed. Multivariable linear regression analyses were conducted. RESULTS The mean age of the participants was 40.1 (SD 14.3) years. Sleep duration (≥8 h/night: β = 0.17,95% CI: 0.02-0.32; 7-< 8 h/night: β = 0.17,95% CI: 0.03-0.30 versus <6 h/night, p = 0.002), sleep quality (very good: β = 0.45,95% CI: 0.29-0.60; fairly good: β = 0.20,95% CI: 0.06-0.33 versus very/fairly bad; ptrend < 0.001) and physical activity (high: β = 0.19,95% CI: 0.05-0.32; moderate: β = 0.15, 95% CI: 0.03-0.27 versus low; ptrend < 0.001) were directly associated with total PMH. Sedentary behaviour was not significantly associated with PMH. Sleep duration, sleep quality and physical activity were directly associated with the PMH sub-components 'emotional support' and 'personal growth and autonomy'. CONCLUSIONS Duration and quality of sleep and physical activity were directly associated with PMH in an urban Asian population. These findings support incorporating sleep and physical activity interventions to improve population mental health.
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Affiliation(s)
- Janhavi Ajit Vaingankar
- Research Division, Institute of Mental Health, 10, Buangkok View, Singapore 539747, Singapore; (M.S.); (S.A.C.)
- Correspondence:
| | - Falk Müller-Riemenschneider
- Saw Swee Hock School of Public Health, National University of Singapore, 12 Science Drive 2, #10-01, Singapore 117549, Singapore; (F.M.-R.); (A.H.Y.C.); (L.W.L.T.); (R.M.v.D.)
- Yong Loo Lin School of Medicine, National University of Singapore, 10 Medical Drive, Singapore 117597, Singapore
| | - Anne Hin Yee Chu
- Saw Swee Hock School of Public Health, National University of Singapore, 12 Science Drive 2, #10-01, Singapore 117549, Singapore; (F.M.-R.); (A.H.Y.C.); (L.W.L.T.); (R.M.v.D.)
| | - Mythily Subramaniam
- Research Division, Institute of Mental Health, 10, Buangkok View, Singapore 539747, Singapore; (M.S.); (S.A.C.)
- Saw Swee Hock School of Public Health, National University of Singapore, 12 Science Drive 2, #10-01, Singapore 117549, Singapore; (F.M.-R.); (A.H.Y.C.); (L.W.L.T.); (R.M.v.D.)
| | - Linda Wei Lin Tan
- Saw Swee Hock School of Public Health, National University of Singapore, 12 Science Drive 2, #10-01, Singapore 117549, Singapore; (F.M.-R.); (A.H.Y.C.); (L.W.L.T.); (R.M.v.D.)
| | - Siow Ann Chong
- Research Division, Institute of Mental Health, 10, Buangkok View, Singapore 539747, Singapore; (M.S.); (S.A.C.)
| | - Rob M. van Dam
- Saw Swee Hock School of Public Health, National University of Singapore, 12 Science Drive 2, #10-01, Singapore 117549, Singapore; (F.M.-R.); (A.H.Y.C.); (L.W.L.T.); (R.M.v.D.)
- Yong Loo Lin School of Medicine, National University of Singapore, 10 Medical Drive, Singapore 117597, Singapore
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