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Hoffmann SW, Schierbauer J, Zimmermann P, Voit T, Grothoff A, Wachsmuth NB, Rössler A, Niedrist T, Lackner HK, Moser O. Effects of Interrupting Prolonged Sitting with Light-Intensity Physical Activity on Inflammatory and Cardiometabolic Risk Markers in Young Adults with Overweight and Obesity: Secondary Outcome Analyses of the SED-ACT Randomized Controlled Crossover Trial. Biomolecules 2024; 14:1029. [PMID: 39199416 DOI: 10.3390/biom14081029] [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: 07/30/2024] [Revised: 08/16/2024] [Accepted: 08/18/2024] [Indexed: 09/01/2024] Open
Abstract
Sedentary behavior (SB) is an essential risk factor for obesity, cardiovascular disease, and type 2 diabetes. Though certain levels of physical activity (PA) may attenuate the detrimental effects of SB, the inflammatory and cardiometabolic responses involved are still not fully understood. The focus of this secondary outcome analysis was to describe how light-intensity PA snacks (LIPASs, alternate sitting and standing, walking or standing continuously) compared with uninterrupted prolonged sitting affect inflammatory and cardiometabolic risk markers. Seventeen young adults with overweight and obesity participated in this study (eight females, 23.4 ± 3.3 years, body mass index (BMI) 29.7 ± 3.8 kg/m2, glycated hemoglobin A1C (HbA1c) 5.4 ± 0.3%, body fat 31.8 ± 8.2%). Participants were randomly assigned to the following conditions which were tested during an 8 h simulated workday: uninterrupted prolonged sitting (SIT), alternate sitting and standing (SIT-STAND, 2.5 h total standing time), continuous standing (STAND), and continuous walking (1.6 km/h; WALK). Each condition also included a standardized non-relativized breakfast and lunch. Venous blood samples were obtained in a fasted state at baseline (T0), 1 h after lunch (T1) and 8 h after baseline (T2). Inflammatory and cardiometabolic risk markers included interleukin-6 (IL-6), c-reactive protein (CRP), total cholesterol (TC), high-density lipoprotein cholesterol (HDL-C), low-density lipoprotein cholesterol (LDL-C), triglycerides (TGs), visceral fat area (VFA), triglyceride-glucose (TyG) index, two lipid ratio measures, TG/HDL-C and TC/HDL-C, albumin, amylase (pancreatic), total protein, uric acid, and urea. We found significant changes in a broad range of certain inflammatory and cardiometabolic risk markers during the intervention phase for IL-6 (p = 0.014), TG (p = 0.012), TC (p = 0.017), HDL-C (p = 0.020), LDL-C (p = 0.021), albumin (p = 0.003), total protein (p = 0.021), and uric acid (p = 0.040) in favor of light-intensity walking compared with uninterrupted prolonged sitting, alternate sitting and standing, and continuous standing. We found no significant changes in CRP (p = 0.529), creatinine (p = 0.199), TyG (p = 0.331), and the lipid ratios TG/HDL-C (p = 0.793) and TC/HDL-C (p = 0.221) in response to the PA snack. During a simulated 8 h work environment replacement and interruption of prolonged sitting with light-intensity walking, significant positive effects on certain inflammatory and cardiometabolic risk markers were found in young adults with overweight and obesity.
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Affiliation(s)
- Sascha W Hoffmann
- Division of Theory and Practice of Sports and Fields of Physical Activity, BaySpo-Bayreuth Center of Sport Science, University of Bayreuth, 95440 Bayreuth, Germany
| | - Janis Schierbauer
- Division of Exercise Physiology and Metabolism, BaySpo-Bayreuth Center of Sport Science, University of Bayreuth, 95440 Bayreuth, Germany
| | - Paul Zimmermann
- Division of Exercise Physiology and Metabolism, BaySpo-Bayreuth Center of Sport Science, University of Bayreuth, 95440 Bayreuth, Germany
| | - Thomas Voit
- Division of Exercise Physiology and Metabolism, BaySpo-Bayreuth Center of Sport Science, University of Bayreuth, 95440 Bayreuth, Germany
| | - Auguste Grothoff
- Division of Exercise Physiology and Metabolism, BaySpo-Bayreuth Center of Sport Science, University of Bayreuth, 95440 Bayreuth, Germany
| | - Nadine B Wachsmuth
- Division of Exercise Physiology and Metabolism, BaySpo-Bayreuth Center of Sport Science, University of Bayreuth, 95440 Bayreuth, Germany
| | - Andreas Rössler
- Department of Physiology and Pathophysiology, Medical University of Graz, 8010 Graz, Austria
| | - Tobias Niedrist
- Clinical Institute of Medical and Chemical Laboratory Diagnostics, Medical University of Graz, 8010 Graz, Austria
| | - Helmut K Lackner
- Department of Physiology and Pathophysiology, Medical University of Graz, 8010 Graz, Austria
| | - Othmar Moser
- Division of Exercise Physiology and Metabolism, BaySpo-Bayreuth Center of Sport Science, University of Bayreuth, 95440 Bayreuth, Germany
- Interdisciplinary Metabolic Medicine Trials Unit, Department of Internal Medicine, Division of Endocrinology and Diabetology, Medical University of Graz, 8010 Graz, Austria
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Coll-Planas L, Fuente-Vidal A, Jerez-Roig J, Karkauskienė E, Romero-Mas M, Intxaurrondo A, Caserotti P, Skjødt M, Dallmeier D, Lefebvre G, Bassinah L, Forgione D, Castro R, Minobes-Molina E, Parés-Martínez C, Blancafort Alias S, Roman-Viñas B, Socorro-Cumplido JL, Nieto-Guisado A, Sansano-Nadal O, Giné-Garriga M. Boosting enjoyment and social inclusion to increase physical activity and reduce sedentary behaviour among older adults: protocol for a feasibility study to test the JOIN4JOY approach in five European countries. BMJ Open 2024; 14:e083291. [PMID: 39067876 DOI: 10.1136/bmjopen-2023-083291] [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] [Indexed: 07/30/2024] Open
Abstract
INTRODUCTION Programmes for older people aimed at increasing physical activity (PA) and reducing sedentary behaviour (SB) traditionally focus on achieving functional and health improvements. Focusing on enjoyment and social inclusion could strengthen adherence and help reach older people with social disadvantages. The aim of this study is to assess the feasibility and acceptability of the Join4Joy approach in PA programmes and its assessment tools. METHODS AND ANALYSIS A multicentric, pragmatic, pre-post feasibility study using mixed methods will be conducted. The intervention will consist of a PA programme boosting enjoyment and social inclusion, grounded on a co-creation process. Trainers will offer twelve, 1-hour weekly sessions of structured, supervised, group-based PA. Participants will be encouraged to increase activity in daily living. 144 older people will be recruited from the community and nursing homes in Spain, Denmark, Italy, Germany, and France. Additionally, participants and trainers will be invited to join virtual communities of practice to share their experiences across settings and countries. Qualitative procedures will be used to explore the acceptability of the design via interviews and focus groups with participants and trainers. Quantitative methods will be used to assess uptake, adherence, retention, reach, satisfaction, enjoyment (PACES questionnaire), physical function (e.g., Short Physical Performance Battery), quality of life (EQ-5D-5L scale), perceived improvement (Patient Global Impression of Improvement scale-I), activities of daily living (Barthel index) and SB and PA patterns (IPAQ and accelerometry). The degree and type of participation in virtual communities of practice will also be assessed. SPSS software will be used for the analysis of quantitative variables. Qualitative data will be analysed using reflective thematic analysis following Braun and Clarke (2006). ETHICS AND DISSEMINATION A favourable report by the Research Ethics Committee of UVic-UCC (282/2023) was obtained on 26 June 26th, 2023. Participation and withdrawal will be voluntary. Participants' (or their legal guardians', when necessary) written permission will be required. Results of the study will be disseminated through publication of scientific articles, presentations at sport and health-related professional conferences and congresses, as well as through social media and via the Join4Joy website. STUDY REGISTRATION ClinicalTrials.gov, NCT06100835.
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Affiliation(s)
- Laura Coll-Planas
- Research group on Methodology, Methods, Models and Outcomes of Health and Social Sciences (M3O), Faculty of Health Sciences and Welfare. Centre for Health and Social Care Research (CESS). University of Vic-Central University of Catalonia (UVic-UCC), Vic, Catalunya, Spain
- Institute for Research and Innovation in Life Sciences and Health in Central Catalonia (IRIS-CC), Vic, Spain
| | - Andrea Fuente-Vidal
- Research group on Methodology, Methods, Models and Outcomes of Health and Social Sciences (M3O), Faculty of Health Sciences and Welfare. Centre for Health and Social Care Research (CESS). University of Vic-Central University of Catalonia (UVic-UCC), Vic, Catalunya, Spain
- Institute for Research and Innovation in Life Sciences and Health in Central Catalonia (IRIS-CC), Vic, Spain
| | - Javier Jerez-Roig
- Research group on Methodology, Methods, Models and Outcomes of Health and Social Sciences (M3O), Faculty of Health Sciences and Welfare. Centre for Health and Social Care Research (CESS). University of Vic-Central University of Catalonia (UVic-UCC), Vic, Catalunya, Spain
- Institute for Research and Innovation in Life Sciences and Health in Central Catalonia (IRIS-CC), Vic, Spain
- Department of Health Promotion and Rehabilitation, Institute of Sport Science and Innovations, Lithuanian Sports University, Kaunas, Lithuania
| | - Erika Karkauskienė
- Department of Health Promotion and Rehabilitation, Institute of Sport Science and Innovations, Lithuanian Sports University, Kaunas, Lithuania
| | - Montse Romero-Mas
- Research group on Methodology, Methods, Models and Outcomes of Health and Social Sciences (M3O), Faculty of Health Sciences and Welfare. Centre for Health and Social Care Research (CESS). University of Vic-Central University of Catalonia (UVic-UCC), Vic, Catalunya, Spain
- Institute for Research and Innovation in Life Sciences and Health in Central Catalonia (IRIS-CC), Vic, Spain
| | - Aimar Intxaurrondo
- Fundació Salut i Envelliment (Foundation on Health and Ageing), Autonomous University of Barcelona, Barcelona, Catalunya, Spain
| | | | | | | | - Guillaume Lefebvre
- Sport Initiative et Loisir Bleu Association, Strasbourg, France
- Sport Initiative et Loisir Bleu Association, Barcelona, Spain
| | - Lucie Bassinah
- Sport Initiative et Loisir Bleu Association, Strasbourg, France
| | - Dolores Forgione
- Istituto Europeo Per Lo Sviluppo Socio Economico (ISES), Alexandria, Italy
| | - Ricard Castro
- Research group on Methodology, Methods, Models and Outcomes of Health and Social Sciences (M3O), Faculty of Health Sciences and Welfare. Centre for Health and Social Care Research (CESS). University of Vic-Central University of Catalonia (UVic-UCC), Vic, Catalunya, Spain
- Institute for Research and Innovation in Life Sciences and Health in Central Catalonia (IRIS-CC), Vic, Spain
| | - Eduard Minobes-Molina
- Research group on Methodology, Methods, Models and Outcomes of Health and Social Sciences (M3O), Faculty of Health Sciences and Welfare. Centre for Health and Social Care Research (CESS). University of Vic-Central University of Catalonia (UVic-UCC), Vic, Catalunya, Spain
- Institute for Research and Innovation in Life Sciences and Health in Central Catalonia (IRIS-CC), Vic, Spain
| | - Carles Parés-Martínez
- Research group on Methodology, Methods, Models and Outcomes of Health and Social Sciences (M3O), Faculty of Health Sciences and Welfare. Centre for Health and Social Care Research (CESS). University of Vic-Central University of Catalonia (UVic-UCC), Vic, Catalunya, Spain
- Institute for Research and Innovation in Life Sciences and Health in Central Catalonia (IRIS-CC), Vic, Spain
| | - Sergi Blancafort Alias
- Research group on Methodology, Methods, Models and Outcomes of Health and Social Sciences (M3O), Faculty of Health Sciences and Welfare. Centre for Health and Social Care Research (CESS). University of Vic-Central University of Catalonia (UVic-UCC), Vic, Catalunya, Spain
- Institute for Research and Innovation in Life Sciences and Health in Central Catalonia (IRIS-CC), Vic, Spain
- Fundació Salut i Envelliment (Foundation on Health and Ageing), Autonomous University of Barcelona, Barcelona, Catalunya, Spain
| | - Blanca Roman-Viñas
- Facultat de Psicologia, Ciències de l'Educació i de l'Esport Blanquerna, Universitat Ramon Llull, Barcelona, Spain
| | - José Luis Socorro-Cumplido
- Facultat de Psicologia, Ciències de l'Educació i de l'Esport Blanquerna, Universitat Ramon Llull, Barcelona, Spain
| | - Ainhoa Nieto-Guisado
- Facultat de Psicologia, Ciències de l'Educació i de l'Esport Blanquerna, Universitat Ramon Llull, Barcelona, Spain
| | - Oriol Sansano-Nadal
- Facultat de Psicologia, Ciències de l'Educació i de l'Esport Blanquerna, Universitat Ramon Llull, Barcelona, Spain
| | - Maria Giné-Garriga
- Facultat de Psicologia, Ciències de l'Educació i de l'Esport Blanquerna, Universitat Ramon Llull, Barcelona, Spain
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Montero-Torreiro MF, Rey-Brandariz J, Guerra-Tort C, Candal-Pedreira C, Santiago-Pérez MI, Varela-Lema L, Suárez Luque S, Pérez-Ríos M. [Evolution of sedentarism prevalence in Spanish population between 1987 and 2020]. Med Clin (Barc) 2024; 162:273-279. [PMID: 37985330 DOI: 10.1016/j.medcli.2023.10.010] [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: 08/04/2023] [Revised: 10/11/2023] [Accepted: 10/15/2023] [Indexed: 11/22/2023]
Abstract
BACKGROUND AND OBJECTIVE Sedentary behavior is a predictive factor for numerous diseases. The objective of this study was to assess the evolution of the prevalence of sedentary behavior in the Spanish adult population between 1987 and 2020. METHODS The data sources were the National and European Health Surveys. The prevalence of sedentary behavior was assessed in three scenarios (main activity, leisure time and all scenarios). Prevalence of sedentary behavior was estimated overall, by sex and age group. In all scenarios, prevalence was also estimated by Autonomous Community. The prevalence trend was analyzed with the annual percent change (APC) obtained through joinpoint models. RESULTS The prevalence of sedentary in the main activity ranged from 31.2% in 1987 to 38.4% in 2020 [PCA: 0.7 (0.5-1.0)], being higher in men than in women and higher in younger and older people. The prevalence of sedentary in the leisure time varied between 55.1% in 1993 and 36.4% in 2020 [PCA: -1.4 (-1.9 to -0.9)], being always higher in women, higher in those over 64 years of age and lower in those aged 16-24 years. Cantabria and the Canary Islands were the Autonomous Communities with the lowest prevalence of sedentary behavior in all scenarios. CONCLUSIONS The prevalence of sedentary behavior in the main activity is increasing in Spain, whereas during leisure time it is decreasing. It is important to implement prevention and health promotion measures aimed at reducing sedentary behavior in the population.
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Affiliation(s)
- María Fe Montero-Torreiro
- Área de Medicina Preventiva y Salud Pública, Universidade de Santiago de Compostela, Santiago de Compostela, La Coruña, España; Dirección Xeral de Saúde Pública, Consellería de Sanidade, Xunta de Galicia, Santiago de Compostela, La Coruña, España
| | - Julia Rey-Brandariz
- Área de Medicina Preventiva y Salud Pública, Universidade de Santiago de Compostela, Santiago de Compostela, La Coruña, España; CIBER en Epidemiología y Salud Pública (CIBERESP), Madrid, España.
| | - Carla Guerra-Tort
- Área de Medicina Preventiva y Salud Pública, Universidade de Santiago de Compostela, Santiago de Compostela, La Coruña, España
| | - Cristina Candal-Pedreira
- Área de Medicina Preventiva y Salud Pública, Universidade de Santiago de Compostela, Santiago de Compostela, La Coruña, España; CIBER en Epidemiología y Salud Pública (CIBERESP), Madrid, España; Instituto de Investigación Sanitaria de Santiago de Compostela (IDIS), Santiago de Compostela, La Coruña, España
| | - María Isolina Santiago-Pérez
- Dirección Xeral de Saúde Pública, Consellería de Sanidade, Xunta de Galicia, Santiago de Compostela, La Coruña, España
| | - Leonor Varela-Lema
- Área de Medicina Preventiva y Salud Pública, Universidade de Santiago de Compostela, Santiago de Compostela, La Coruña, España; CIBER en Epidemiología y Salud Pública (CIBERESP), Madrid, España; Instituto de Investigación Sanitaria de Santiago de Compostela (IDIS), Santiago de Compostela, La Coruña, España
| | - Silvia Suárez Luque
- Dirección Xeral de Saúde Pública, Consellería de Sanidade, Xunta de Galicia, Santiago de Compostela, La Coruña, España
| | - Mónica Pérez-Ríos
- Área de Medicina Preventiva y Salud Pública, Universidade de Santiago de Compostela, Santiago de Compostela, La Coruña, España; CIBER en Epidemiología y Salud Pública (CIBERESP), Madrid, España; Instituto de Investigación Sanitaria de Santiago de Compostela (IDIS), Santiago de Compostela, La Coruña, España
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Klos L, Stratton G, Mackintosh KA, McNarry MA, Fogelholm M, Drummen M, Macdonald I, Martinez JA, Navas-Carretero S, Handjieva-Darlenska T, Bogdanov G, Gant N, Poppitt SD, Silvestre MP, Brand-Miller J, Muirhead R, Schlicht W, Huttunen-Lenz M, Brodie S, Jalo E, Westerterp-Plantenga M, Adam T, Siig Vestentoft P, Tikkanen H, Quist JS, Raben A, Swindell N. Combining diaries and accelerometers to explain change in physical activity during a lifestyle intervention for adults with pre-diabetes: A PREVIEW sub-study. PLoS One 2024; 19:e0300646. [PMID: 38512828 PMCID: PMC10956823 DOI: 10.1371/journal.pone.0300646] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/20/2023] [Accepted: 02/29/2024] [Indexed: 03/23/2024] Open
Abstract
Self-report and device-based measures of physical activity (PA) both have unique strengths and limitations; combining these measures should provide complementary and comprehensive insights to PA behaviours. Therefore, we aim to 1) identify PA clusters and clusters of change in PA based on self-reported daily activities and 2) assess differences in device-based PA between clusters in a lifestyle intervention, the PREVIEW diabetes prevention study. In total, 232 participants with overweight and prediabetes (147 women; 55.9 ± 9.5yrs; BMI ≥25 kg·m-2; impaired fasting glucose and/or impaired glucose tolerance) were clustered using a partitioning around medoids algorithm based on self-reported daily activities before a lifestyle intervention and their changes after 6 and 12 months. Device-assessed PA levels (PAL), sedentary time (SED), light PA (LPA), and moderate-to-vigorous PA (MVPA) were assessed using ActiSleep+ accelerometers and compared between clusters using (multivariate) analyses of covariance. At baseline, the self-reported "walking and housework" cluster had significantly higher PAL, MVPA and LPA, and less SED than the "inactive" cluster. LPA was higher only among the "cycling" cluster. There was no difference in the device-based measures between the "social-sports" and "inactive" clusters. Looking at the changes after 6 months, the "increased walking" cluster showed the greatest increase in PAL while the "increased cycling" cluster accumulated the highest amount of LPA. The "increased housework" and "increased supervised sports" reported least favourable changes in device-based PA. After 12 months, there was only minor change in activities between the "increased walking and cycling", "no change" and "increased supervised sports" clusters, with no significant differences in device-based measures. Combining self-report and device-based measures provides better insights into the behaviours that change during an intervention. Walking and cycling may be suitable activities to increase PA in adults with prediabetes.
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Affiliation(s)
- Leon Klos
- Applied Sports, Technology, Exercise and Medicine (A-STEM) Research Centre, Faculty of Science and Engineering, Swansea University, Swansea, Wales, United Kingdom
- Institute of Sports and Sports Science, Karlsruhe Institute of Technology, Karlsruhe, Germany
| | - Gareth Stratton
- Applied Sports, Technology, Exercise and Medicine (A-STEM) Research Centre, Faculty of Science and Engineering, Swansea University, Swansea, Wales, United Kingdom
| | - Kelly A. Mackintosh
- Applied Sports, Technology, Exercise and Medicine (A-STEM) Research Centre, Faculty of Science and Engineering, Swansea University, Swansea, Wales, United Kingdom
| | - Melitta A. McNarry
- Applied Sports, Technology, Exercise and Medicine (A-STEM) Research Centre, Faculty of Science and Engineering, Swansea University, Swansea, Wales, United Kingdom
| | - Mikael Fogelholm
- Department of Food and Nutrition, University of Helsinki, Helsinki, Finland
| | - Mathijs Drummen
- Department of Nutrition and Movement Sciences, Maastricht University, Maastricht, Netherlands
| | - Ian Macdonald
- School of Life Sciences, Queen’s Medical Centre, University of Nottingham, Nottingham, United Kingdom
| | - J. Alfredo Martinez
- Center for Nutrition Research, University of Navarra, Pamplona, Spain
- CIBEROBN, Instituto de Salud Carlos III, Madrid, Spain
- IdiSNA, Navarra Institute for Health Research, Pamplona, Spain
- Program for Precision Nutrition, IMDEA Food Institute, Madrid, Spain
| | - Santiago Navas-Carretero
- Center for Nutrition Research, University of Navarra, Pamplona, Spain
- CIBEROBN, Instituto de Salud Carlos III, Madrid, Spain
- IdiSNA, Navarra Institute for Health Research, Pamplona, Spain
| | | | - Georgi Bogdanov
- Department of Pharmacology and Toxicology, Medical University of Sofia, Sofia, Bulgaria
| | - Nicholas Gant
- Department of Exercise Sciences, University of Auckland, Auckland, New Zealand
| | - Sally D. Poppitt
- Human Nutrition Unit, School of Biological Sciences, University of Auckland, Auckland, New Zealand
| | - Marta P. Silvestre
- Human Nutrition Unit, School of Biological Sciences, University of Auckland, Auckland, New Zealand
- Centro de Investigaçao em Tecnologias e Serciços de Saûde (CINTESIS), NOVA Medical School, NOVA University of Lisbon, Lisbon, Portugal
| | - Jennie Brand-Miller
- School of Life and Environmental Biosciences and Charles Perkins Centre, University of Sydney, Sydney, New South Wales, Australia
| | - Roslyn Muirhead
- School of Life and Environmental Biosciences and Charles Perkins Centre, University of Sydney, Sydney, New South Wales, Australia
| | - Wolfgang Schlicht
- Department of Exercise and Health Sciences, University of Stuttgart, Stuttgart, Germany
| | | | - Shannon Brodie
- School of Life and Environmental Biosciences and Charles Perkins Centre, University of Sydney, Sydney, New South Wales, Australia
| | - Elli Jalo
- Department of Food and Nutrition, University of Helsinki, Helsinki, Finland
| | | | - Tanja Adam
- Department of Nutrition and Movement Sciences, Maastricht University, Maastricht, Netherlands
| | - Pia Siig Vestentoft
- Department of Nutrition, Exercise and Sports, University of Copenhagen, Copenhagen, Denmark
| | - Heikki Tikkanen
- Faculty of Health Sciences School of Medicine, University of Eastern Finland, Kuopio, Finland
| | - Jonas S. Quist
- Department for Clinical and Translational Research, Copenhagen University Hospital—Steno Diabetes Center Copenhagen, Herlev, Denmark
- Department of Biomedical Sciences, University of Copenhagen, Copenhagen, Denmark
- School of Psychology, University of Leeds, Leeds, United Kingdom
| | - Anne Raben
- Department of Nutrition, Exercise and Sports, University of Copenhagen, Copenhagen, Denmark
- Department for Clinical and Translational Research, Copenhagen University Hospital—Steno Diabetes Center Copenhagen, Herlev, Denmark
| | - Nils Swindell
- Applied Sports, Technology, Exercise and Medicine (A-STEM) Research Centre, Faculty of Science and Engineering, Swansea University, Swansea, Wales, United Kingdom
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Li Y, Cui M, Pang Y, Zhan B, Li X, Wang Q, Chen F, Zhou Z, Yang Q. Association of physical activity with socio-economic status and chronic disease in older adults in China: cross-sectional findings from the survey of CLASS 2020 after the outbreak of COVID-19. BMC Public Health 2024; 24:37. [PMID: 38166980 PMCID: PMC10762973 DOI: 10.1186/s12889-023-17492-9] [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: 08/28/2023] [Accepted: 12/14/2023] [Indexed: 01/05/2024] Open
Abstract
BACKGROUND In 2021, China had a population of 264·01 million individuals over the age of 60, indicating a high prevalence of chronic diseases. Among older adults, physical inactivity (PI) is a significant risk factor for chronic diseases. However, few studies have been conducted on the correlation of physical activity (PA) with the economic status, geography and chronic disease risks in Chinese elderly. The objectives of this study were to better understand the distribution of PA among older adults in China and its relationship with economic status, geography, and chronic disease risks. METHODS This study utilized data from the China Longitudinal Aging Social Survey (CLASS) in 2020, post-COVID-19. The study employed a stratified, multistage, probabilistic sampling approach and included 11,396 adults over the age of 59 from 28 provinces in China. Data on demographics, the duration and intensity of PA, history of diseases and personalized factors influencing PA were collected via structured interviews by researchers. In this study, we conducted a comprehensive analysis, employing a range of statistical methods including descriptive analysis, Wilcoxon rank-sum tests, Bayesian networks, and chi-square tests. RESULTS The prevalence of PI among older adults over 59 in China is 28·82%. Significant regional differences were observed in the duration of PA at different intensities. Older adults residing in more economically developed areas were more likely to engage in moderate-to-vigorous physical activity (MVPA) and exhibited longer sedentary behavior. Economic status and urban-rural disparities consistently emerged as direct influential factors across all intensity types. Chronic disease risks were significantly lower in active older adults compared to inactive ones. Lack of social guidance, family support, and personal inclination towards sedentary behavior were the main personalized factors affecting PA among older adults, and these factors could be relatively easily modified. CONCLUSIONS Economic status, geography, and living areas (urban and rural) significantly influenced the distribution of physical activities in China. Particularly, economic status and living areas acted as direct factors. Older adults reaching the recommended standards for PA had significantly lower chronic disease risks, highlighting the importance of improving personalized factors which are crucial for promoting PA.
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Affiliation(s)
- Yi Li
- Capital University of Physical Education and Sports, Beijing, 100000, China
| | - Mingyuan Cui
- Capital University of Physical Education and Sports, Beijing, 100000, China
| | - Yiqun Pang
- Southwest Petroleum University, Chengdu, 610000, China
| | - Bing Zhan
- Capital University of Physical Education and Sports, Beijing, 100000, China
| | - Xiaotian Li
- Capital University of Physical Education and Sports, Beijing, 100000, China
| | - Qiurui Wang
- Capital University of Physical Education and Sports, Beijing, 100000, China
| | - Fang Chen
- Capital University of Physical Education and Sports, Beijing, 100000, China
| | - Zhixiong Zhou
- Capital University of Physical Education and Sports, Beijing, 100000, China.
| | - Qingzhu Yang
- Capital University of Physical Education and Sports, Beijing, 100000, China.
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Kongsvold A, Flaaten M, Logacjov A, Skarpsno ES, Bach K, Nilsen TIL, Mork PJ. Can the bias of self-reported sitting time be corrected? A statistical model validation study based on data from 23 993 adults in the Norwegian HUNT study. Int J Behav Nutr Phys Act 2023; 20:139. [PMID: 38012746 PMCID: PMC10680356 DOI: 10.1186/s12966-023-01541-y] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/22/2023] [Accepted: 11/18/2023] [Indexed: 11/29/2023] Open
Abstract
BACKGROUND Despite apparent shortcomings such as measurement error and low precision, self-reported sedentary time is still widely used in surveillance and research. The aim of this study was threefold; (i) to examine the agreement between self-reported and device-measured sitting time in a general adult population; (ii), to examine to what extent demographics, lifestyle factors, long-term health conditions, physical work demands, and educational level is associated with measurement bias; and (iii), to explore whether correcting for factors associated with bias improves the prediction of device-measured sitting time based on self-reported sitting time. METHODS A statistical validation model study based on data from 23 993 adults in the Trøndelag Health Study (HUNT4), Norway. Participants reported usual sitting time on weekdays using a single-item questionnaire and wore two AX3 tri-axial accelerometers on the thigh and low back for an average of 3.8 (standard deviation [SD] 0.7, range 1-5) weekdays to determine their sitting time. Statistical validation was performed by iteratively adding all possible combinations of factors associated with bias between self-reported and device-measured sitting time in a multivariate linear regression. We randomly selected 2/3 of the data (n = 15 995) for model development and used the remaining 1/3 (n = 7 998) to evaluate the model. RESULTS Mean (SD) self-reported and device-measured sitting time were 6.8 (2.9) h/day and 8.6 (2.2) h/day, respectively, corresponding to a mean difference of 1.8 (3.1) h/day. Limits of agreement ranged from - 8.0 h/day to 4.4 h/day. The discrepancy between the measurements was characterized by a proportional bias with participants device-measured to sit less overestimating their sitting time and participants device-measured to sit more underestimating their sitting time. The crude explained variance of device-measured sitting time based on self-reported sitting time was 10%. This improved to 24% when adding age, body mass index and physical work demands to the model. Adding sex, lifestyle factors, educational level, and long-term health conditions to the model did not improve the explained variance. CONCLUSIONS Self-reported sitting time had low validity and including a range of factors associated with bias in self-reported sitting time only marginally improved the prediction of device-measured sitting time.
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Affiliation(s)
- Atle Kongsvold
- Department of Public Health and Nursing, Norwegian University of Science and Technology (NTNU), Trondheim, Norway.
| | - Mats Flaaten
- Department of Public Health and Nursing, Norwegian University of Science and Technology (NTNU), Trondheim, Norway
| | - Aleksej Logacjov
- Department of Computer Science, Norwegian University of Science and Technology (NTNU), Trondheim, Norway
| | - Eivind Schjelderup Skarpsno
- Department of Public Health and Nursing, Norwegian University of Science and Technology (NTNU), Trondheim, Norway
- Department of Neurology and Clinical Neurophysiology, St. Olavs Hospital, Trondheim, Norway
| | - Kerstin Bach
- Department of Computer Science, Norwegian University of Science and Technology (NTNU), Trondheim, Norway
| | - Tom Ivar Lund Nilsen
- Department of Public Health and Nursing, Norwegian University of Science and Technology (NTNU), Trondheim, Norway
- Clinic of Anesthesia and Intensive Care, St. Olavs Hospital, Trondheim, Norway
| | - Paul Jarle Mork
- Department of Public Health and Nursing, Norwegian University of Science and Technology (NTNU), Trondheim, Norway
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Pinto AJ, Bergouignan A, Dempsey PC, Roschel H, Owen N, Gualano B, Dunstan DW. Physiology of sedentary behavior. Physiol Rev 2023; 103:2561-2622. [PMID: 37326297 PMCID: PMC10625842 DOI: 10.1152/physrev.00022.2022] [Citation(s) in RCA: 32] [Impact Index Per Article: 32.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/02/2022] [Revised: 05/10/2023] [Accepted: 06/14/2023] [Indexed: 06/17/2023] Open
Abstract
Sedentary behaviors (SB) are characterized by low energy expenditure while in a sitting or reclining posture. Evidence relevant to understanding the physiology of SB can be derived from studies employing several experimental models: bed rest, immobilization, reduced step count, and reducing/interrupting prolonged SB. We examine the relevant physiological evidence relating to body weight and energy balance, intermediary metabolism, cardiovascular and respiratory systems, the musculoskeletal system, the central nervous system, and immunity and inflammatory responses. Excessive and prolonged SB can lead to insulin resistance, vascular dysfunction, shift in substrate use toward carbohydrate oxidation, shift in muscle fiber from oxidative to glycolytic type, reduced cardiorespiratory fitness, loss of muscle mass and strength and bone mass, and increased total body fat mass and visceral fat depot, blood lipid concentrations, and inflammation. Despite marked differences across individual studies, longer term interventions aimed at reducing/interrupting SB have resulted in small, albeit marginally clinically meaningful, benefits on body weight, waist circumference, percent body fat, fasting glucose, insulin, HbA1c and HDL concentrations, systolic blood pressure, and vascular function in adults and older adults. There is more limited evidence for other health-related outcomes and physiological systems and for children and adolescents. Future research should focus on the investigation of molecular and cellular mechanisms underpinning adaptations to increasing and reducing/interrupting SB and the necessary changes in SB and physical activity to impact physiological systems and overall health in diverse population groups.
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Affiliation(s)
- Ana J Pinto
- Division of Endocrinology, Metabolism, and Diabetes, Anschutz Health and Wellness Center, University of Colorado Anschutz Medical Campus, Aurora, Colorado, United States
- Applied Physiology & Nutrition Research Group, Center of Lifestyle Medicine, Faculdade de Medicina FMUSP, Universidade de Sao Paulo, Sao Paulo, Brazil
| | - Audrey Bergouignan
- Division of Endocrinology, Metabolism, and Diabetes, Anschutz Health and Wellness Center, University of Colorado Anschutz Medical Campus, Aurora, Colorado, United States
- Institut Pluridisciplinaire Hubert Curien, Centre National de la Recherche Scientifique, Université de Strasbourg, Strasbourg, France
| | - Paddy C Dempsey
- Baker Heart & Diabetes Institute, Melbourne, Victoria, Australia
- Institute for Physical Activity and Nutrition (IPAN), School of Exercise and Nutrition Sciences, Deakin University, Geelong, Victoria, Australia
- MRC Epidemiology Unit, Institute of Metabolic Science, University of Cambridge, Cambridge Biomedical Campus, Cambridge, United Kingdom
- Diabetes Research Centre, College of Life Sciences, University of Leicester, Leicester, United Kingdom
| | - Hamilton Roschel
- Applied Physiology & Nutrition Research Group, Center of Lifestyle Medicine, Faculdade de Medicina FMUSP, Universidade de Sao Paulo, Sao Paulo, Brazil
| | - Neville Owen
- Baker Heart & Diabetes Institute, Melbourne, Victoria, Australia
- Centre for Urban Transitions, Swinburne University of Technology, Melbourne, Victoria, Australia
| | - Bruno Gualano
- Applied Physiology & Nutrition Research Group, Center of Lifestyle Medicine, Faculdade de Medicina FMUSP, Universidade de Sao Paulo, Sao Paulo, Brazil
- Food Research Center, University of Sao Paulo, Sao Paulo, Brazil
| | - David W Dunstan
- Baker Heart & Diabetes Institute, Melbourne, Victoria, Australia
- Institute for Physical Activity and Nutrition (IPAN), School of Exercise and Nutrition Sciences, Deakin University, Geelong, Victoria, Australia
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Peng L, Chen L, Wang S, Guo L, Liang W, Zhou J, Shi N, Huang J, Hu M, Liao J. Association of lifestyle habits and cardiovascular risk among sedentary adults. Medicine (Baltimore) 2023; 102:e34376. [PMID: 37478225 PMCID: PMC10662838 DOI: 10.1097/md.0000000000034376] [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: 05/08/2023] [Accepted: 06/27/2023] [Indexed: 07/23/2023] Open
Abstract
This study aimed to analyze the association of lifestyle habits (physical activity, sleep habits, and eating habits) with cardiovascular risk (arterial stiffness and autonomic nervous system function) among sedentary adults. Sixty adults of sedentariness and physical activity were evaluated by accelerometers; sleep and eating habits were assessed by questionnaires; cardiovascular risks were assessed by pulse wave velocity (PWV), ankle-brachial index, flow mediated dilation, and heart rate variability; circulating biomarkers were also determined. Prolonged sitting (represented by longer maximum length of sedentary bouts, lower length of sedentary breaks, and more total time of sitting) were (P < .05) significantly associated with matrix metalloproteinases, neuropeptide Y, C-reactive protein, peptide Y, ghrelin, and leptin; significant associations (P < .05) were also observed of total time in physical activity with most circulating biomarkers except interleukin-6, tumor necrosis factor-α, and adiponectin. Sleep habits, especially sleep efficiency, were (P < .05) significantly associated with PWV, ankle-brachial index, and circulating biomarkers. Eating habits (including emotional overeating and enjoyment of food) were (P < .05) significantly associated with PWVs and flow mediated dilation; satiety responsiveness and enjoyment of food were (P < .05) significantly associated with low-frequency spectral component expressed in normalized units, high frequency spectral component expressed in normalized units, and ratio between low-frequency/high frequency spectral component expressed in normalized units. The findings indicated that several lifestyle habits among sedentary adults were closely associated with increased cardiovascular risk. Sedentary people were encouraged to live with sufficient physical activity, good sleep, and healthy eating habits for decreasing arterial stiffness and balancing autonomic nervous function.
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Affiliation(s)
- Linyu Peng
- Guangdong Provincial Key Laboratory of Physical Activity and Health Promotion, Guangzhou Sport University, Guangzhou, China
- Graduate School, Guangzhou Sport University, Guangzhou, China
| | - Lidan Chen
- Guangdong Provincial Key Laboratory of Physical Activity and Health Promotion, Guangzhou Sport University, Guangzhou, China
- Graduate School, Guangzhou Sport University, Guangzhou, China
| | - Shen Wang
- Guangdong Provincial Key Laboratory of Physical Activity and Health Promotion, Guangzhou Sport University, Guangzhou, China
- Scientific Research Center, Guangzhou Sport University, Guangzhou, China
| | - Lianmeng Guo
- Guangdong Provincial Key Laboratory of Physical Activity and Health Promotion, Guangzhou Sport University, Guangzhou, China
| | - Wenhao Liang
- Guangdong Provincial Key Laboratory of Physical Activity and Health Promotion, Guangzhou Sport University, Guangzhou, China
- School of Foreign Languages, Neusoft Institute Guangdong, Guangzhou, China
| | - Jie Zhou
- Guangdong Provincial Key Laboratory of Physical Activity and Health Promotion, Guangzhou Sport University, Guangzhou, China
- Graduate School, Guangzhou Sport University, Guangzhou, China
| | - Niujin Shi
- Guangdong Provincial Key Laboratory of Physical Activity and Health Promotion, Guangzhou Sport University, Guangzhou, China
- Graduate School, Guangzhou Sport University, Guangzhou, China
| | - Junhao Huang
- Guangdong Provincial Key Laboratory of Physical Activity and Health Promotion, Guangzhou Sport University, Guangzhou, China
- Scientific Research Center, Guangzhou Sport University, Guangzhou, China
| | - Min Hu
- Guangdong Provincial Key Laboratory of Physical Activity and Health Promotion, Guangzhou Sport University, Guangzhou, China
- School of Sport and Health, Guangzhou Sport University, Guangzhou, China
| | - Jingwen Liao
- Guangdong Provincial Key Laboratory of Physical Activity and Health Promotion, Guangzhou Sport University, Guangzhou, China
- Scientific Research Center, Guangzhou Sport University, Guangzhou, China
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Barati Jozan MM, Ghorbani BD, Khalid MS, Lotfata A, Tabesh H. Impact assessment of e-trainings in occupational safety and health: a literature review. BMC Public Health 2023; 23:1187. [PMID: 37340453 DOI: 10.1186/s12889-023-16114-8] [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: 01/25/2023] [Accepted: 06/13/2023] [Indexed: 06/22/2023] Open
Abstract
BACKGROUND Implementing workplace preventive interventions reduces occupational accidents and injuries, as well as the negative consequences of those accidents and injuries. Online occupational safety and health training is one of the most effective preventive interventions. This study aims to present current knowledge on e-training interventions, make recommendations on the flexibility, accessibility, and cost-effectiveness of online training, and identify research gaps and obstacles. METHOD All studies that addressed occupational safety and health e-training interventions designed to address worker injuries, accidents, and diseases were chosen from PubMed and Scopus until 2021. Two independent reviewers conducted the screening process for titles, abstracts, and full texts, and disagreements on the inclusion or exclusion of an article were resolved by consensus and, if necessary, by a third reviewer. The included articles were analyzed and synthesized using the constant comparative analysis method. RESULT The search identified 7,497 articles and 7,325 unique records. Following the title, abstract, and full-text screening, 25 studies met the review criteria. Of the 25 studies, 23 were conducted in developed and two in developing countries. The interventions were carried out on either the mobile platform, the website platform, or both. The study designs and the number of outcomes of the interventions varied significantly (multi-outcomes vs. single-outcome). Obesity, hypertension, neck/shoulder pain, office ergonomics issues, sedentary behaviors, heart disease, physical inactivity, dairy farm injuries, nutrition, respiratory problems, and diabetes were all addressed in the articles. CONCLUSION According to the findings of this literature study, e-trainings can significantly improve occupational safety and health. E-training is adaptable, affordable, and can increase workers' knowledge and abilities, resulting in fewer workplace injuries and accidents. Furthermore, e-training platforms can assist businesses in tracking employee development and ensuring that training needs are completed. Overall, this analysis reveals that e-training has enormous promise in the field of occupational safety and health for both businesses and employees.
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Affiliation(s)
- Mohammad Mahdi Barati Jozan
- Department of Medical Informatics, School of Medicine, Mashhad University of Medical Sciences, Mashhad, Iran
| | | | - Md Saifuddin Khalid
- Department of Applied Mathematics and Computer Science, Technical University of Denmark, Kongens Lyngby, Denmark
| | - Aynaz Lotfata
- School Of Veterinary Medicine, Department Of Veterinary Pathology, University of California, Davis, USA
| | - Hamed Tabesh
- Department of Medical Informatics, School of Medicine, Mashhad University of Medical Sciences, Mashhad, Iran.
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Bácsné Bába É, Müller A, Pfau C, Balogh R, Bartha É, Szabados G, Bács Z, Ráthonyi-Ódor K, Ráthonyi G. Sedentary Behavior Patterns of the Hungarian Adult Population. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2023; 20:2702. [PMID: 36768067 PMCID: PMC9916297 DOI: 10.3390/ijerph20032702] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/14/2022] [Revised: 01/30/2023] [Accepted: 01/31/2023] [Indexed: 06/18/2023]
Abstract
BACKGROUND AND AIM Nowadays, a high level of sedentary behavior (SB) is an important health issue. Many studies have focused on evaluating the physical activity (PA) level, while evaluation of SB has received less attention. The main goal of the present study is to describe the sedentary lifestyle of the Hungarian adult population and identify the vulnerable groups with high amount of sitting time and the patterns of SB. Another aim of this study is to compare the two types of questionnaires (International Physical Activity Questionnaire-IPAQ and Sedentary Behavior Questionnaire-SBQ) related to sitting time. METHODS This study analyzed cross-sectional primary data using self-reported questionnaires collected by a Hungarian research market company among the adult population in Hungary. The final sample of this study consisted of 1295 participants with a mean age of 45.9 years (SD = 15.2). Analysis of variance (ANOVA) test with post-hoc (Tukey) analysis were used to analyze the link between sitting time and socio-demographic variables (sex, age, BMI, settlement type, education level, marital status, work category, working hours, employment status, sport activity) and body mass index (BMI). RESULTS AND CONCLUSIONS According to the SBQ, on average, Hungarians sit for 469.53 min per day (7.81 h) on weekdays and 421.25 min per day (7.01 h) on weekends, which suggested a significant difference compared to IPAQ data: 287.82 min per day (4.79 h) on weekdays and 224.30 min per day (3.73 h) on weekends. Young people (aged between 18 and 29) were reported to have the highest average sitting time, i.e., 545 min per day (more than 9 h), and are showing the highest prevalence (53%) of sitting at least 480 min (8 h) per day. Sitting workers also had a high average sitting time, i.e., 514.82 min per day, and a high prevalence (49.3%) of sitting at least 480 min (8 h) per day. People who live in the capital city had higher sitting time, especially on working days. Men sat longer than woman, i.e., 19 min on working days and 45 min on weekends. The most frequent sedentary activities are: working on computer (126 min) on working days and watching TV (130 min) on weekends. Our results clearly show that the self-report single-item measure (IPAQ) significantly underestimates sedentary time compared to the multi-item questionnaire (SBQ). We identified vulnerable groups with high sitting times: men, young adults, inhabitants of the capital city and sitting workers. Consequently, these groups should be continuously surveyed, and requires specific interventions and strategies that particularly counteract the increased sitting time.
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Affiliation(s)
- Éva Bácsné Bába
- Institute of Sports Economics and Management, University of Debrecen, 4032 Debrecen, Hungary
| | - Anetta Müller
- Institute of Sports Economics and Management, University of Debrecen, 4032 Debrecen, Hungary
| | - Christa Pfau
- Institute of Sports Economics and Management, University of Debrecen, 4032 Debrecen, Hungary
| | - Renátó Balogh
- Institute of Sports Economics and Management, University of Debrecen, 4032 Debrecen, Hungary
| | - Éva Bartha
- Institute of Sports Economics and Management, University of Debrecen, 4032 Debrecen, Hungary
| | - György Szabados
- Institute of Sports Economics and Management, University of Debrecen, 4032 Debrecen, Hungary
| | - Zoltán Bács
- Institute of Accounting and Finance, University of Debrecen, 4032 Debrecen, Hungary
| | - Kinga Ráthonyi-Ódor
- Institute of Sports Economics and Management, University of Debrecen, 4032 Debrecen, Hungary
| | - Gergely Ráthonyi
- Institute of Sports Economics and Management, University of Debrecen, 4032 Debrecen, Hungary
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Hayes P, Ferrara A, Keating A, McKnight K, O'Regan A. Physical Activity and Hypertension. Rev Cardiovasc Med 2022; 23:302. [PMID: 39077709 PMCID: PMC11262345 DOI: 10.31083/j.rcm2309302] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/31/2022] [Revised: 07/31/2022] [Accepted: 08/09/2022] [Indexed: 07/31/2024] Open
Abstract
Hypertension and physical inactivity are leading causes of premature mortality. While both are modifiable risk factors for cardiovascular disease, their prevalence remains high. As populations grow older, they are more likely to develop hypertension and to become less physically active. Scientific advances have contributed to understanding of how physical activity improves blood pressure and the clinically relevant ambulatory blood pressure, but this is not reflected in hypertension guidelines for clinical management of hypertension. The aim of this paper is to clearly present up to date knowledge from scientific studies that underpin the role of physical activity in hypertension management. Longitudinal studies in this review demonstrate a protective effect of higher physical activity levels as well as higher levels of cardiorespiratory fitness. Interventional studies report improvements in blood pressure associated with aerobic, resistance and concurrent exercise; the improvements in some studies were greatest among participant groups with established hypertensions; the effect was observed for groups with treatment-resistant hypertension also, a clinically important subgroup. The most recent research provides evidence for the synergy between physical activity and pharmacotherapy for the treatment of hypertension, providing an opportunity for clinicians to promote physical activity as an adjunctive treatment for hypertension as well as a preventative strategy. This review critiques the evidence and summarises the most up to date literature in the field of physical activity and hypertension.
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Affiliation(s)
- Peter Hayes
- School of Medicine, Health Research Institute, University of Limerick, V94 T9PX Limerick, Ireland
| | - Alexandra Ferrara
- School of Medicine, Health Research Institute, University of Limerick, V94 T9PX Limerick, Ireland
| | - Aoife Keating
- School of Medicine, Health Research Institute, University of Limerick, V94 T9PX Limerick, Ireland
| | - Kathryn McKnight
- School of Medicine, Health Research Institute, University of Limerick, V94 T9PX Limerick, Ireland
| | - Andrew O'Regan
- School of Medicine, Health Research Institute, University of Limerick, V94 T9PX Limerick, Ireland
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Li R, Chen G, Liu X, Pan M, Kang N, Hou X, Liao W, Dong X, Yuchi Y, Mao Z, Huo W, Wang X, Guo Y, Li S, Hou J, Wang C. Aging biomarkers: Potential mediators of association between long-term ozone exposure and risk of atherosclerosis. J Intern Med 2022; 292:512-522. [PMID: 35417071 DOI: 10.1111/joim.13500] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
Abstract
BACKGROUND Long-term exposure to ambient ozone links to aging biomarkers and increased risk for atherosclerotic cardiovascular diseases (ASCVD). However, the roles of aging biomarkers in the association of long-term exposure to ambient ozone with ASCVD are unclear. METHODS A total of 5298 participants completed the questionnaire and physical examination and provided biological specimens. Aging biomarkers (telomere length [TL] and mitochondrial copy number [mtDNA-CN]) were measured by using a real-time polymerase chain reaction method. The concentration of ambient ozone was assessed using a random forest model. Associations of ambient ozone or aging biomarkers with 10-year ASCVD risk were analyzed using logistic regression models. The roles of aging biomarkers in the association of ambient ozone exposure with 10-year ASCVD risk were explored by mediation analysis. RESULTS The adjusted odds ratios and 95% confidence interval of high 10-year ASCVD risk were 1.16 (1.08, 1.25), 0.71 (0.60, 0.85), and 0.78 (0.64, 0.96) in association with each 1-unit increment in ambient ozone (1 μg/m3 ) concentration, relative TL, and mtDNA-CN, respectively. The mediated proportion of the association between ambient ozone exposure and high 10-year ASCVD risk by TL or mtDNA-CN was 21.13% or 7.75%, respectively. The total proportion of association between ambient ozone exposure and high 10-year ASCVD risk mediated by TL plus mtDNA-CN was 21.02%. CONCLUSIONS Long-term exposure to ambient ozone was associated with increased 10-year ASCVD risk, and the association was partially mediated by aging biomarkers (shortened TL and decreased mtDNA-CN). This study indicated that ambient ozone pollution-related ASCVD risk might be partially explained by the telomere-mitochondrial axis of aging.
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Affiliation(s)
- Ruiying Li
- Department of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, Zhengzhou, PR China
| | - Gongbo Chen
- Guangdong Provincial Engineering Technology Research Center of Environmental and Health Risk Assessment, Department of Occupational and Environmental Health, School of Public Health, Sun Yat-sen University, Guangzhou, PR China
| | - Xiaotian Liu
- Department of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, Zhengzhou, PR China
| | - Mingming Pan
- Department of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, Zhengzhou, PR China
| | - Ning Kang
- Department of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, Zhengzhou, PR China
| | - Xiaoyu Hou
- Department of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, Zhengzhou, PR China
| | - Wei Liao
- Department of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, Zhengzhou, PR China
| | - Xiaokang Dong
- Department of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, Zhengzhou, PR China
| | - Yinghao Yuchi
- Department of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, Zhengzhou, PR China
| | - Zhenxing Mao
- Department of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, Zhengzhou, PR China
| | - Wenqian Huo
- Department of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, Zhengzhou, PR China
| | - Xian Wang
- Department of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, Zhengzhou, PR China
| | - Yuming Guo
- Department of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, Zhengzhou, PR China.,Department of Epidemiology and Preventive Medicine, School of Public Health and Preventive Medicine, Monash University, Melbourne, Australia
| | - Shanshan Li
- Department of Epidemiology and Preventive Medicine, School of Public Health and Preventive Medicine, Monash University, Melbourne, Australia
| | - Jian Hou
- Department of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, Zhengzhou, PR China
| | - Chongjian Wang
- Department of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, Zhengzhou, PR China
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De Craemer M, Van Stappen V, Brondeel R, Iotova V, Chakarova N, Rurik I, Lindström J, Kivelä J, Moreno LA, Mavrogianni C, Manios Y, Cardon G. Self-reported lifestyle behaviours in families with an increased risk for type 2 diabetes across six European countries: a cross-sectional analysis from the Feel4Diabetes-study. BMC Endocr Disord 2022; 22:213. [PMID: 36002885 PMCID: PMC9404668 DOI: 10.1186/s12902-022-01115-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/20/2022] [Accepted: 07/18/2022] [Indexed: 11/29/2022] Open
Abstract
BACKGROUND A healthy lifestyle decreases the risk of developing type 2 diabetes mellitus. The current cross-sectional study aimed to describe self-reported lifestyle behaviours and compare them to current health guidelines in European Feel4Diabetes-families at risk for developing type 2 diabetes across six countries (Belgium, Finland, Spain, Greece, Hungary and Bulgaria). METHODS Parents and their children were recruited through primary schools located in low socio-economic status areas. Parents filled out the FINDRISC-questionnaire (eight items questioning age, Body Mass Index, waist circumference, PA, daily consumption of fruit, berries or vegetables, history of antihypertensive drug treatment, history of high blood glucose and family history of diabetes), which was used for the risk assessment of the family. Sociodemographic factors and several lifestyle behaviours (physical activity, sedentary behaviour, water consumption, fruit and vegetable consumption, soft drink consumption, sweets consumption, snack consumption, breakfast consumption) of both adults and children were assessed by parental questionnaires. Multilevel regression analyses were conducted to investigate families' lifestyle behaviours, to compare these levels to health guidelines and to assess potential differences between the countries. Analyses were controlled for age, sex and socio-economic status. RESULTS Most Feel4Diabetes-families at risk (parents and their children) did not comply with the guidelines regarding healthy behaviours, set by the WHO, European or national authorities. Less than half of parents and children complied with the physical activity guidelines, less than 15% of them complied with the fruit and vegetable guideline, and only 40% of the children met the recommendations of five glasses of water per day. Clear differences in lifestyle behaviours in Feel4Diabetes-families at risk exist between the countries. CONCLUSIONS Countries are highly recommended to invest in policy initiatives to counter unhealthy lifestyle behaviours in families at risk for type 2 diabetes development, taking into account country-specific needs. For future research it is of great importance to focus on families at risk in order to counter the development of type 2 diabetes and reduce health inequity.
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Affiliation(s)
- Marieke De Craemer
- Department of Rehabilitation Sciences, Ghent University, Corneel Heymanslaan 10, 9000, Ghent, Belgium.
- Research Foundation Flanders (FWO), Egmontstraat 5, 1000, Brussels, Belgium.
| | - Vicky Van Stappen
- Movement and Sports Sciences, Ghent University, 9000, Ghent, Belgium
| | | | - Violeta Iotova
- Clinic of Paediatric Endocrinology, Medical University Varna, 9002, Varna, Bulgaria
| | - Nevena Chakarova
- Clinical Center of Endocrinology, Medical University of Sofia, 1431, Sofia, Bulgaria
| | - Imre Rurik
- Debreceni Egyetem (UoD), University of Debrecen, 4002, Debrecen, Hungary
| | - Jaana Lindström
- Finnish Institute for Health and Welfare, 00271, Helsinki, Finland
| | - Jemina Kivelä
- Finnish Institute for Health and Welfare, 00271, Helsinki, Finland
| | - Luis Alberto Moreno
- Growth, Exercise, Nutrition and Development (GENUD), University of Zaragoza, 50009, Saragossa, Spain
| | - Christina Mavrogianni
- Department of Nutrition and Dietetics, School of Health Science & Education, Harokopio University, 176 76, Athens, Greece
| | - Yannis Manios
- Department of Nutrition and Dietetics, School of Health Science & Education, Harokopio University, 176 76, Athens, Greece
- Institute of Agri-Food and Life Sciences, Hellenic Mediterranean University Research Centre, Heraklion, Greece
| | - Greet Cardon
- Research Foundation Flanders (FWO), Egmontstraat 5, 1000, Brussels, Belgium
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Physical activity attenuates the association between household air pollution and health-related quality of life in Chinese rural population: the Henan Rural Cohort Study. Qual Life Res 2022; 31:3165-3175. [DOI: 10.1007/s11136-022-03195-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 07/02/2022] [Indexed: 10/15/2022]
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Boutellier A, Nüesch C, Suter P, Perrot G, Mündermann A. Trunk muscle function and its association with functional limitations in sedentary occupation workers with and without chronic nonspecific low back pain. J Back Musculoskelet Rehabil 2022; 35:783-791. [PMID: 34744065 DOI: 10.3233/bmr-200269] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/04/2023]
Abstract
BACKGROUND The function of trunk muscles in chronic nonspecific low back pain (CNLBP) is controversially discussed, and trunk muscle function in sedentary occupation workers is poorly understood. OBJECTIVE To investigate whether muscle function differs between sedentary occupation workers with and without CNLBP and to determine the association between functional limitations and muscle function. METHODS This study included 32 sedentary occupation workers (16 workers with CNLBP and 16 age- and sex-matched workers without CNLBP). Group differences in isokinetic trunk flexion-extension strength, muscle cocontraction, endurance time (Biering-Sorensen test) and electromyographic muscle fatigue were assessed. The association of these parameters and Oswestry Disability Index (ODI) score were examined in the CNLBP group. RESULTS Participants with CNLBP had lower trunk extensor (-20%) and flexor (-18%) strength and less cocontraction (-22%) than participants without CNLBP, but due to large variability in both groups these differences were not statistically significant. Trunk muscle endurance and fatigue were comparable between groups. Variance in endurance time explained 28% of variance in the ODI-score in the CNLBP group (R2= 0.277). CONCLUSIONS In patients with CNLBP, greater functional disability was associated with lower endurance. Further evidence is necessary to elucidate whether specifically training endurance performance may be beneficial for sedentary occupation workers.
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Affiliation(s)
- Angela Boutellier
- School of Health Professions, Zurich University of Applied Sciences Winterthur, Winterthur, Switzerland.,Department of Orthopaedics and Traumatology, University Hospital Basel, Basel, Switzerland
| | - Corina Nüesch
- Department of Orthopaedics and Traumatology, University Hospital Basel, Basel, Switzerland.,Department of Spine Surgery, University Hospital Basel, Basel, Switzerland.,Department of Biomedical Engineering, University of Basel, Basel, Switzerland.,Department of Clinical Research, University of Basel, Basel, Switzerland
| | - Peter Suter
- Institute for Physiotherapy, University Hospital Basel, Basel, Switzerland
| | - Guido Perrot
- Institute for Physiotherapy, University Hospital Basel, Basel, Switzerland
| | - Annegret Mündermann
- Department of Orthopaedics and Traumatology, University Hospital Basel, Basel, Switzerland.,Department of Spine Surgery, University Hospital Basel, Basel, Switzerland.,Department of Biomedical Engineering, University of Basel, Basel, Switzerland.,Department of Clinical Research, University of Basel, Basel, Switzerland
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16
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Dong X, Liu X, Zhang L, Wang Y, Tu R, Liao W, Wang Y, Li R, Hou J, Mao Z, Wang C, Li Y. Snoring and napping independently increased the serum uric acid levels and hyperuricemia risk: The Henan Rural Cohort Study. Nutr Metab Cardiovasc Dis 2022; 32:1427-1436. [PMID: 35346548 DOI: 10.1016/j.numecd.2022.03.006] [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: 10/10/2021] [Revised: 01/01/2022] [Accepted: 03/07/2022] [Indexed: 10/18/2022]
Abstract
BACKGROUND AND AIMS Evidence on the association of snoring, daily sleep duration (daytime napping and night sleep duration) with hyperuricemia (HUA) was limited, especially in the resources-poor areas. This study aimed to investigate the independent effect of snoring frequency and daily sleep duration on HUA prevalence in rural Chinese adults. METHODS AND RESULTS 29,643 participants aged 18-79 years were included in the final cross-sectional analysis from the Henan Rural Cohort Study. Multivariate logistic regression and linear regression models with HUA and serum uric acid (SUA) levels as dependent variables were conducted, respectively. Of the 29,643 included adults, 3498 suffered from HUA. Compared to never snoring, the adjusted odds ratio (OR) and 95% confidence interval (CI) of HUA for rare snoring, occasional snoring, and habitual snoring were 1.35 (1.17, 1.56), 1.30 (1.14, 1.47), and 1.59 (1.47, 1.73), respectively (P for trend <0.001). Compared with no napping, participants who had daytime napping of 61-90 and > 91 min were associated with a 29% and 30% increase in the prevalence of HUA, respectively (P for trend <0.001). But in night sleep duration groups, no significant associations were observed. The positive associations between snoring and HUA were attenuated in people aged ≥65 and people with type 2 diabetes mellitus (both P for interaction <0.05). CONCLUSION Habitual snoring or longer daytime napping was independently associated with increased HUA prevalence and SUA levels in rural Chinese adults, which indicates the significance of early intervention and treatment of snoring and longer daytime napping to prevent hyperuricemia.
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Affiliation(s)
- Xiaokang Dong
- Department of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, Zhengzhou, Henan, PR China
| | - Xiaotian Liu
- Department of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, Zhengzhou, Henan, PR China
| | - Lulu Zhang
- Department of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, Zhengzhou, Henan, PR China
| | - Yan Wang
- Department of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, Zhengzhou, Henan, PR China
| | - Runqi Tu
- Department of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, Zhengzhou, Henan, PR China
| | - Wei Liao
- Department of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, Zhengzhou, Henan, PR China
| | - Yikang Wang
- Department of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, Zhengzhou, Henan, PR China
| | - Ruiying Li
- Department of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, Zhengzhou, Henan, PR China
| | - Jian Hou
- Department of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, Zhengzhou, Henan, PR China
| | - Zhenxing Mao
- Department of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, Zhengzhou, Henan, PR China
| | - Chongjian Wang
- Department of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, Zhengzhou, Henan, PR China
| | - Yuqian Li
- Department of Clinical Pharmacology, School of Pharmaceutical Science, Zhengzhou University, Zhengzhou, Henan, PR China.
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17
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Llamas-Ramos I, Llamas-Ramos R, Alonso-Domínguez R, Gómez-Sánchez L, Tamayo-Morales O, Lugones-Sánchez C, Rodríguez-Sánchez E, García-Ortiz L, Gómez-Marcos MA. Sedentary Behaviour and Its Relationship with Early Vascular Ageing in the General Spanish Population: A Cross-Sectional Study. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2022; 19:ijerph19095450. [PMID: 35564843 PMCID: PMC9101612 DOI: 10.3390/ijerph19095450] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 03/14/2022] [Revised: 04/21/2022] [Accepted: 04/27/2022] [Indexed: 12/04/2022]
Abstract
Sedentary behaviour is associated with a greater predisposition to developing cardiovascular diseases. The aim of the study was to analyse the relationship between sedentary time and early vascular ageing. A total of 501 participants (49.70% men) were recruited through random sampling stratified by age group and sex. Vascular ageing was evaluated considering three criteria: (1) the vascular ageing index (VAI); (2) the carotid−femoral pulse wave velocity (cfPWV) 10th and 90th percentiles of the reference values in the European population by age; and (3) the Framingham’s heart age. The carotid intima−media thickness was measured using a Sonosite Micromaxx ultrasound, the presence of peripheral artery disease was assessed by calculating the ankle−brachial index using a VaSera VS-1500, and the cfPWV was measured with a SphygmoCor® device. Weekly sedentary hours were evaluated through a sitting time questionnaire. The average age of the population was 55.90 ± 14.24 years. The men spent more hours sitting per week (47.6 ± 16.6 vs. 36.8 ± 17.3 h/W), at work (16.7 ± 16.2 vs. 9.73 ± 14.9 h/W), and watching TV (21.6 ± 12.5 vs. 18.7 ± 11.9 h/W). In the logistic regression analysis, the individuals with early vascular aging (EVA), with respect to those with healthy vascular aging (HVA), spent more hours sitting per week (OR = 1.03 vs. OR = 1.02; p < 0.05) and watching TV (OR = 1.03 vs. OR = 1.03; p < 0.05), using the criteria of the European guideline and VAI, and more hours sitting when commuting (OR = 1.04; p < 0.05), using Framingham’s heart age to define EVA. The results of this study indicate that sedentary time is associated with early vascular ageing. Therefore, reducing sedentary time would improve vascular health.
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Affiliation(s)
- Inés Llamas-Ramos
- Institute of Biomedical Research of Salamanca (IBSAL), Primary Care Research Unit of Salamanca (APISAL), 37005 Salamanca, Spain; (R.L.-R.); (R.A.-D.); (L.G.-S.); (O.T.-M.); (C.L.-S.); (E.R.-S.); (L.G.-O.); (M.A.G.-M.)
- Department of Nursing and Physiotherapy, Universidad de Salamanca, 37007 Salamanca, Spain
- Health Service of Castilla and Leon (SACyL), 37005 Salamanca, Spain
- University Hospital of Salamanca, 37007 Salamanca, Spain
- Correspondence: ; Tel.: +34-663005052
| | - Rocío Llamas-Ramos
- Institute of Biomedical Research of Salamanca (IBSAL), Primary Care Research Unit of Salamanca (APISAL), 37005 Salamanca, Spain; (R.L.-R.); (R.A.-D.); (L.G.-S.); (O.T.-M.); (C.L.-S.); (E.R.-S.); (L.G.-O.); (M.A.G.-M.)
- Department of Nursing and Physiotherapy, Universidad de Salamanca, 37007 Salamanca, Spain
| | - Rosario Alonso-Domínguez
- Institute of Biomedical Research of Salamanca (IBSAL), Primary Care Research Unit of Salamanca (APISAL), 37005 Salamanca, Spain; (R.L.-R.); (R.A.-D.); (L.G.-S.); (O.T.-M.); (C.L.-S.); (E.R.-S.); (L.G.-O.); (M.A.G.-M.)
- Department of Nursing and Physiotherapy, Universidad de Salamanca, 37007 Salamanca, Spain
| | - Leticia Gómez-Sánchez
- Institute of Biomedical Research of Salamanca (IBSAL), Primary Care Research Unit of Salamanca (APISAL), 37005 Salamanca, Spain; (R.L.-R.); (R.A.-D.); (L.G.-S.); (O.T.-M.); (C.L.-S.); (E.R.-S.); (L.G.-O.); (M.A.G.-M.)
| | - Olaya Tamayo-Morales
- Institute of Biomedical Research of Salamanca (IBSAL), Primary Care Research Unit of Salamanca (APISAL), 37005 Salamanca, Spain; (R.L.-R.); (R.A.-D.); (L.G.-S.); (O.T.-M.); (C.L.-S.); (E.R.-S.); (L.G.-O.); (M.A.G.-M.)
| | - Cristina Lugones-Sánchez
- Institute of Biomedical Research of Salamanca (IBSAL), Primary Care Research Unit of Salamanca (APISAL), 37005 Salamanca, Spain; (R.L.-R.); (R.A.-D.); (L.G.-S.); (O.T.-M.); (C.L.-S.); (E.R.-S.); (L.G.-O.); (M.A.G.-M.)
| | - Emiliano Rodríguez-Sánchez
- Institute of Biomedical Research of Salamanca (IBSAL), Primary Care Research Unit of Salamanca (APISAL), 37005 Salamanca, Spain; (R.L.-R.); (R.A.-D.); (L.G.-S.); (O.T.-M.); (C.L.-S.); (E.R.-S.); (L.G.-O.); (M.A.G.-M.)
- Health Service of Castilla and Leon (SACyL), 37005 Salamanca, Spain
- Department of Medicine, Universidad de Salamanca, 37007 Salamanca, Spain
| | - Luis García-Ortiz
- Institute of Biomedical Research of Salamanca (IBSAL), Primary Care Research Unit of Salamanca (APISAL), 37005 Salamanca, Spain; (R.L.-R.); (R.A.-D.); (L.G.-S.); (O.T.-M.); (C.L.-S.); (E.R.-S.); (L.G.-O.); (M.A.G.-M.)
- Health Service of Castilla and Leon (SACyL), 37005 Salamanca, Spain
- Department of Biomedical and Diagnostic Sciences, Universidad de Salamanca, 37007 Salamanca, Spain
| | - Manuel A. Gómez-Marcos
- Institute of Biomedical Research of Salamanca (IBSAL), Primary Care Research Unit of Salamanca (APISAL), 37005 Salamanca, Spain; (R.L.-R.); (R.A.-D.); (L.G.-S.); (O.T.-M.); (C.L.-S.); (E.R.-S.); (L.G.-O.); (M.A.G.-M.)
- Health Service of Castilla and Leon (SACyL), 37005 Salamanca, Spain
- Department of Medicine, Universidad de Salamanca, 37007 Salamanca, Spain
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18
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Wang J, Wang Y, Korivi M, Chen X, Zhu R. Status of Sedentary Time and Physical Activity of Rural Residents: A Cross-Sectional Population-Based Study in Eastern China. Front Public Health 2022; 10:838226. [PMID: 35493367 PMCID: PMC9047957 DOI: 10.3389/fpubh.2022.838226] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/17/2021] [Accepted: 03/14/2022] [Indexed: 11/13/2022] Open
Abstract
BackgroundThe urbanization process may affect the lifestyle of rural residents in China. Limited information exists on the extent of sedentarism and physical activity (PA) level of rural residents in middle-income countries. This is the first survey on sedentary time (ST) and PA among rural residents in eastern China.MethodsThis cross-sectional observational study randomly samples rural adults from Zhejiang Province in eastern China (n = 1,320). Participants' ST and PA levels were determined from the International Physical Activity Questionnaire Short Form through face-to-face interviews, and the influencing factors of PA levels were assessed through multi-class logistic regression analysis.ResultsThe findings showed that the daily ST of the participants ranged from 30 to 660 min, with a median of 240 min (P25, P75:120, 240 min), and 54.6% of participants were sedentary for 240 min or above. The daily ST in men, people aged 18 to 44 years, people with bachelors' degree and above, people working for government agencies or institutions, people with unmarried status, and people with an average income of < 2,000 Yuan was longer than that of other respective groups (p < 0.01). In contrast, the daily ST of people with hypertension or with patients with osteoporosis or osteopenia was less than that of normal people (p < 0.01). Additionally, 69.4% of participants generally had a low level of PA (LPA). Compared with those living in northern Zhejiang, people living in southern Zhejiang who were aged 18–44 years, had bachelor's degree or above, were farmers, and had household incomes below 10,000 Yuan per month were more likely to engage in LPA compared to people > 60 years, with high school or technical education levels or with junior college degrees, working in government agencies and institutions, and with household income above 10,000 Yuan per month (p < 0.05). Furthermore, there was no correlation between ST and PA levels.ConclusionMost rural residents in the Zhejiang Province of eastern China had longer daily ST and a LPA. This was predominant in men, young people, highly educated people, unmarried people, and middle to high-income people. Health education programs should be targeted toward specific population groups to decrease the ST and increase PA.
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Affiliation(s)
- Jiayuan Wang
- Second Clinical Medical College, Wenzhou Medical University, Wenzhou, China
| | - Ya Wang
- School of Innovation and Entrepreneurship, Wenzhou Medical University, Wenzhou, China
| | - Mallikarjuna Korivi
- Exercise Metabolism and Research Center, College of Physical Education and Health Sciences, Zhejiang Normal University, Jinhua, China
| | - Xi Chen
- School of Sports Science, Wenzhou Medical University, Wenzhou, China
- Xi Chen
| | - Rong Zhu
- Second Clinical Medical College, Wenzhou Medical University, Wenzhou, China
- School of Sports Science, Wenzhou Medical University, Wenzhou, China
- *Correspondence: Rong Zhu
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19
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Wilson JJ, Smith L, Yakkundi A, Jacob L, Martin S, Grabovac I, McDermott DT, López-Bueno R, Barnett Y, Butler LT, Schuch FB, Armstrong NC, Tully MA. Changes in Health-Related Behaviours and Mental Health in a UK Public Sample during the First Set of COVID-19 Public Health Restrictions. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2022; 19:3959. [PMID: 35409642 PMCID: PMC8997575 DOI: 10.3390/ijerph19073959] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Received: 02/07/2022] [Revised: 03/23/2022] [Accepted: 03/24/2022] [Indexed: 12/04/2022]
Abstract
Public health restrictions, in response to the COVID-19 pandemic, have had potentially wide-ranging, unintended effects on health-related behaviours such as diet and physical activity and also affected mental health due to reduced social interactions. This study explored how health-related behaviours and mental health were impacted in a sample of the UK public during the first set of COVID-19 public health restrictions. Two online surveys were administered in the UK, one within the first three months of the restrictions (Timepoints 1 (T1—involving pre-pandemic recall) and 2/T2) and another ten weeks later (Timepoint 3/T3). Moderate−vigorous physical activity (MVPA), outdoor time, sitting time, screen time and sexual activity were self-reported. Diet was assessed using the Dietary Instrument for Nutrition Education questionnaire. Mental health was measured using the short-form Warwick−Edinburgh Mental Wellbeing Scale and Becks’ Anxiety and Depression Inventories. Differences between timepoints were explored using the Friedman, Wilcoxon signed-rank, McNemar and McNemar−Bowker tests. Two hundred and ninety-six adults (74% under 65 years old; 65% female) provided data across all timepoints. Between T1 and T2, MVPA, time outdoors and sexual activity decreased while sitting, and screen time increased (p < 0.05). Between T2 and T3, saturated fat intake, MVPA, time outdoors, and mental wellbeing increased while sitting, screen time and anxiety symptoms decreased (p < 0.05). This study found that depending on the level of COVID-19 public health restrictions in place, there appeared to be a varying impact on different health-related behaviours and mental health. As countries emerge from restrictions, it is prudent to direct necessary resources to address these important public health issues.
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Affiliation(s)
- Jason J. Wilson
- Sport and Exercise Sciences Research Institute, School of Sport, Ulster University, Newtownabbey BT37 0QB, UK;
- Institute of Mental Health Sciences, School of Health Sciences, Ulster University, Newtownabbey BT37 0QB, UK
| | - Lee Smith
- The Cambridge Centre for Sport and Exercise Sciences, Anglia Ruskin University, Cambridge CB1 1PT, UK;
| | - Anita Yakkundi
- Northern Ireland Public Health Research Network, School of Health Sciences, Ulster University, Newtownabbey BT37 0QB, UK;
| | - Louis Jacob
- Faculty of Medicine, University of Versailles Saint-Quentin-en-Yvelines, 78180 Montigny-le-Bretonneux, France;
- Parc Sanitari Sant Joan de Deu/CIBERSAM, Universitat de Barcelona, Fundacio Sant Joan de Deu, Sant Boi de Llobregat, 08830 Barcelona, Spain
| | - Suzanne Martin
- Centre for Health and Rehabilitation Technologies, Institute of Nursing and Health Research, School of Health Sciences, Ulster University, Newtownabbey BT37 0QB, UK;
| | - Igor Grabovac
- Centre for Public Health, Department of Social and Preventive Medicine, Medical University of Vienna, 1090 Wien, Austria;
| | - Daragh T. McDermott
- NTU Psychology, School of Social Sciences, Nottingham Trent University, Nottingham NG1 4FQ, UK;
| | - Rubén López-Bueno
- Department of Physical Medicine and Nursing, University of Zaragoza, 50009 Zaragoza, Spain;
| | - Yvonne Barnett
- School of Life Sciences, Anglia Ruskin University, Cambridge CB1 1PT, UK;
| | - Laurie T. Butler
- Faculty of Science & Engineering, Anglia Ruskin University, Cambridge CB1 1PT, UK;
| | - Felipe B. Schuch
- Department of Sports Methods and Techniques, Federal University of Santa Maria, Santa Maria 97105-900, Brazil;
| | - Nicola C. Armstrong
- Health and Social Care Research & Development Division, Public Health Agency (Northern Ireland), Belfast BT2 8BS, UK;
| | - Mark A. Tully
- School of Medicine, Ulster University, Londonderry BT48 7JL, UK
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20
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de Hoogh IM, Reinders MJ, Doets EL, Hoevenaars FPM, Top JL. Design issues in personalized nutrition advice systems (Preprint). J Med Internet Res 2022; 25:e37667. [PMID: 36989039 PMCID: PMC10131983 DOI: 10.2196/37667] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/02/2022] [Revised: 12/21/2022] [Accepted: 01/13/2023] [Indexed: 01/15/2023] Open
Abstract
The current health status of the general public can substantially benefit from a healthy diet. Using a personalized approach to initiate healthy dietary behavior seems to be a promising strategy, as individuals differ in terms of health status, subsequent dietary needs, and their desired behavior change support. However, providing personalized advice to a wide audience over a long period is very labor-intensive. This bottleneck can possibly be overcome by digitalizing the process of creating and providing personalized advice. An increasing number of personalized advice systems for different purposes is becoming available in the market, ranging from systems providing advice about just a single parameter to very complex systems that include many variables characterizing each individual situation. Scientific background is often lacking in these systems. In designing a personalized nutrition advice system, many design questions need to be answered, ranging from the required input parameters and accurate measurement methods (sense), type of modeling techniques to be used (reason), and modality in which the personalized advice is provided (act). We have addressed these topics in this viewpoint paper, and we have demonstrated the feasibility of setting up an infrastructure for providing personalized dietary advice based on the experience of 2 practical applications in a real-life setting.
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Affiliation(s)
- Iris M de Hoogh
- Research Group Microbiology & Systems Biology, Netherlands Organization for Applied Scientific Research, Leiden, Netherlands
- Department of Endocrinology, Leiden University Medical Center, Leiden, Netherlands
| | - Machiel J Reinders
- Wageningen Economic Research, Wageningen University & Research, Den Haag, Netherlands
| | - Esmée L Doets
- Wageningen Food & Biobased Research, Wageningen University & Research, Wageningen, Netherlands
| | - Femke P M Hoevenaars
- Research Group Microbiology & Systems Biology, Netherlands Organization for Applied Scientific Research, Leiden, Netherlands
| | - Jan L Top
- Wageningen Food & Biobased Research, Wageningen University & Research, Wageningen, Netherlands
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21
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Tsagkaris C, Widmer J, Wanivenhaus F, Redaelli A, Lamartina C, Farshad M. The sitting vs standing spine. NORTH AMERICAN SPINE SOCIETY JOURNAL 2022; 9:100108. [PMID: 35310424 PMCID: PMC8924684 DOI: 10.1016/j.xnsj.2022.100108] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 01/18/2022] [Revised: 02/21/2022] [Accepted: 02/24/2022] [Indexed: 11/28/2022]
Abstract
Background Planning of surgical procedures for spinal fusion is performed on standing radiographs, neglecting the fact that patients are mostly in the sitting position during daily life. The awareness about the differences in the standing and sitting configuration of the spine has increased during the last years. The purpose was to provide an overview of studies related to seated imaging for spinal fusion surgery, identify knowledge gaps and evaluate future research questions. Methods A literature search according to the Preferred Reporting Items for Systematic Reviews and Meta-Analysis (PRISMA) extension for Scoping Reviews (PRISMASc) was performed to identify reports related to seated imaging for spinal deformity surgery. A summary of the finding is presented for healthy individuals as well as patients with a spinal disorder and/or surgery. Results The systematic search identified 30 original studies reporting on 1) the pre- and postoperative use of seated imaging of the spine (n=12), 2) seated imaging of the spine for non - surgical evaluation (n=7) and 3) seated imaging of the spine among healthy individuals (12). The summarized evidence illuminates that sitting leads to a straightening of the spine decreasing thoracic kyphosis (TK), lumbar lordosis (LL), the sacral slope (SS). Further, the postural change between standing and sitting is more significant on the lower segments of the spine. Also, the adjacent segment compensates the needed postural change of the lumbar spine while sitting with hyperkyphosis. Conclusions The spine has a different configuration in standing and sitting. This systematic review summarizes the current knowledge about such differences and reveals that there is minimal evidence about their consideration for surgical planning of spinal fusion surgery. Further, it identifies gaps in knowledge and areas of further research.
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Affiliation(s)
- Christos Tsagkaris
- Department of Orthopedics, Balgrist University Hospital, Zurich, Switzerland
- Spine Biomechanics, Department of Orthopaedics, Balgrist University Hospital, Zurich, Switzerland
| | - Jonas Widmer
- Department of Orthopedics, Balgrist University Hospital, Zurich, Switzerland
- Spine Biomechanics, Department of Orthopaedics, Balgrist University Hospital, Zurich, Switzerland
| | - Florian Wanivenhaus
- Department of Orthopedics, Balgrist University Hospital, Zurich, Switzerland
| | - Andrea Redaelli
- GSpine4 - I.R.C.C.S. Istituto Ortopedico Galeazzi, Milan, Italy
| | | | - Mazda Farshad
- Department of Orthopedics, Balgrist University Hospital, Zurich, Switzerland
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22
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Chetoui A, Kaoutar K, El Kardoudi A, Boutahar K, Elmoussaoui S, Chigr F, Najimi M. Physical activity and sedentary time levels among Moroccan type 2 diabetes patients. MEDITERRANEAN JOURNAL OF NUTRITION AND METABOLISM 2022. [DOI: 10.3233/mnm-211504] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
Abstract
BACKGROUND: Meeting physical activity (PA) guidelines and decreasing sedentary time (SED-time) are cornerstones in the management of diabetes. OBJECTIVE: This study aims to assess the level of PA, SED-time, and related factors among Moroccan diabetes patients. METHODS: From February to June 2019, 1143 patients with type 2 diabetes took part in a cross-sectional survey. PA and SED-time were assessed through a face-to-face interview using International PA Questionnaire. RESULTS: The PA recommendations were achieved by 77.7% of participants and they were significantly higher in males using oral antidiabetic alone, in normal and overweight participants, and in those with duration less than 7 years. While in females, this level was significantly higher only in participants with a family history of diabetes. The mean SED-time was high (35.66±16.88 hours/week) and increased with age, BMI, duration of diabetes, among widowers and divorced, illiterate and among those with low level of PA. CONCLUSIONS: The PA level and SED-time were high. Furthermore, participants with high SED-time have low levels of PA, which represents a combined risk of sitting and inactivity in this subgroup. As a result, patients should be encouraged to participate regularly in PA and also to minimize their SED-time.
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Affiliation(s)
- Ahmed Chetoui
- Faculty of Sciences and Techniques, Sultan Moulay Slimane University, Biological Engineering Laboratory, Mghilat, Beni Mellal, Morocco
| | - Kamal Kaoutar
- Faculty of Sciences and Techniques, Sultan Moulay Slimane University, Biological Engineering Laboratory, Mghilat, Beni Mellal, Morocco
| | - Abdesslam El Kardoudi
- Faculty of Sciences and Techniques, Sultan Moulay Slimane University, Biological Engineering Laboratory, Mghilat, Beni Mellal, Morocco
| | - Kaltoum Boutahar
- Faculty of Sciences and Techniques, Sultan Moulay Slimane University, Biological Engineering Laboratory, Mghilat, Beni Mellal, Morocco
| | - Soufiane Elmoussaoui
- Faculty of Sciences and Techniques, Sultan Moulay Slimane University, Biological Engineering Laboratory, Mghilat, Beni Mellal, Morocco
| | - Fatiha Chigr
- Faculty of Sciences and Techniques, Sultan Moulay Slimane University, Biological Engineering Laboratory, Mghilat, Beni Mellal, Morocco
| | - Mohamed Najimi
- Faculty of Sciences and Techniques, Sultan Moulay Slimane University, Biological Engineering Laboratory, Mghilat, Beni Mellal, Morocco
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Taylor FC, Pinto AJ, Maniar N, Dunstan DW, Green DJ. The Acute Effects of Prolonged Uninterrupted Sitting on Vascular Function: A Systematic Review and Meta-analysis. Med Sci Sports Exerc 2022; 54:67-76. [PMID: 34334722 DOI: 10.1249/mss.0000000000002763] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/21/2022]
Abstract
OBJECTIVE This study aimed to determine the dose-response relationship between prolonged sitting and vascular function in healthy individuals and those with metabolic disturbances and to investigate the acute effects, on vascular function, of interventions that target interrupting prolonged sitting. DESIGN This is a systematic review with meta-analysis. DATA SOURCES Ovid Embase, Ovid Medline, PubMed, and CINAHL were searched from inception to 4 December 2020. ELIGIBILITY CRITERIA Randomized crossover trials, quasi-randomized trials, and parallel group trials where vascular function (flow-mediated dilation [FMD]) was assessed before and after an acute period of sedentary behavior was used in this study. RESULTS Prolonged sitting resulted in a significant decrease in the standardized mean change (SMC) for lower-limb FMD at the 120-min (SMC = -0.85, 95% confidence interval [CI] = -1.32 to -0.38) and 180-min (SMC = -1.18, 95% CI = -1.69 to -0.66) time points. A similar pattern was observed for lower-limb shear rate. No significant changes were observed for any outcomes in the upper limb. Subgroup analysis indicated that prolonged sitting decreased lower-limb FMD in healthy adults (SMC = -1.33, 95% CI = -1.89 to -0.78) who had higher a priori vascular endothelial function, but not in those with metabolic and vascular dysfunction (SMC = -0.51, 95% CI = -1.18 to 0.15). Interrupting sitting with active interruptions increased the standardized mean difference for FMD, relative to prolonged sitting, but it was not statistically significant (0.13, 95% CI = -0.20 to 0.45). CONCLUSIONS Lower-limb vascular function is progressively impaired as a consequence of prolonged sitting, up to 180 min. A similar trend was not observed in upper-limb vascular function. Subgroup analysis indicated that prolonged sitting negatively affects healthy populations, a finding not observed in those with metabolic disturbances. Regularly interrupting sitting with activity may be beneficial for those with metabolic disturbances.
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Affiliation(s)
| | - Ana J Pinto
- Applied Physiology and Nutrition Research Group, Laboratory of Assessment and Conditioning in Rheumatology, School of Physical Education and Sport, Faculdade de Medicina FMUSP, Universidade de São Paulo, São Paulo, BRAZIL
| | | | | | - Daniel J Green
- Department of Exercise and Sport Science, School of Human Sciences, The University of Western Australia, Perth, AUSTRALIA
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Comparison of Fitness and Physical Activity Levels of Obese People with Hypertension. APPLIED SCIENCES-BASEL 2021. [DOI: 10.3390/app112110330] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/30/2023]
Abstract
This study assessed the relationships between the current level of physical activity (PA) and PA in childhood and the level of physical fitness (PF) of obese people aged 40+ with co-existing hypertension (HT). The study included 82 obese patients with co-existing HT in their history. In order to assess the level of PA, we used the IPAQ. PF was assessed by observing the performance of patients in a fitness test (a 30-s chair stand, a handgrip strength test, a sit-and-reach test, a one leg stand test, a plank test, a wall squat test, and a 2-min step-in-place test). According to the IPAQ category, 24.4% were classified as having a high level of PA, 45.1% a sufficient level of PA, and 30.5% an insufficient level of PA. We noted that the higher the level of PA, the higher the PF—even in obese participants with HT. On the other hand, co-existing diabetes lowered almost all analysed parameters, both biochemical and fitness. The current PA level, a deficiency in which seems to be related to low PF and/or HT, does seem to be related to the degree of PF.
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Wang Z, Sato K, Nawrin SS, Widatalla NS, Kimura Y, Nagatomi R. Low Back Pain Exacerbation Is Predictable Through Motif Identification in Center of Pressure Time Series Recorded During Dynamic Sitting. Front Physiol 2021; 12:696077. [PMID: 34594234 PMCID: PMC8476954 DOI: 10.3389/fphys.2021.696077] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/19/2021] [Accepted: 08/16/2021] [Indexed: 11/18/2022] Open
Abstract
Background: Low back pain (LBP) is a common health problem - sitting on a chair for a prolonged time is considered a significant risk factor. Furthermore, the level of LBP may vary at different times of the day. However, the role of the time-sequence property of sitting behavior in relation to LBP has not been considered. During the dynamic sitting, small changes, such as slight or big sways, have been identified. Therefore, it is possible to identify the motif consisting of such changes, which may be associated with the incidence, exacerbation, or improvement of LBP. Method: Office chairs installed with pressure sensors were provided to a total of 22 office workers (age = 43.4 ± 8.3 years) in Japan. Pressure sensors data were collected during working days and hours (from morning to evening). The participants were asked to answer subjective levels of pain including LBP. Center of pressure (COP) was calculated from the load level, the changes in COP were analyzed by applying the Toeplitz inverse covariance-based clustering (TICC) analysis, COP changes were categorized into several states. Based on the states, common motifs were identified as a recurring sitting behavior pattern combination of different states by motif-aware state assignment (MASA). Finally, the identified motif was tested as a feature to infer the changing levels of LBP within a day. Changes in the levels of LBP from morning to evening were categorized as exacerbated, did not change, or improved based on the survey questions. Here, we present a novel approach based on social spider algorithm (SSA) and probabilistic neural network (PNN) for the prediction of LBP. The specificity and sensitivity of the LBP inference were compared among ten different models, including SSA-PNN. Result: There exists a common motif, consisting of stable sitting and slight sway. When LBP level improved toward the evening, the frequency of motif appearance was higher than when LBP was exacerbated (p < 0.05) or the level did not change. The performance of the SSA-PNN optimization was better than that of the other algorithms. Accuracy, precision, recall, and F1-score were 59.20, 72.46, 40.94, and 63.24%, respectively. Conclusion: A lower frequency of a common motif of the COP dynamic changes characterized by stable sitting and slight sway was found to be associated with the exacerbation of LBP in the evening. LBP exacerbation is predictable by AI-based analysis of COP changes during the sitting behavior of the office workers.
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Affiliation(s)
- Ziheng Wang
- Department of Medicine and Science in Sports and Exercise, Graduate School of Medicine, Tohoku University, Sendai, Japan
| | - Keizo Sato
- Division of Biomedical Engineering for Health and Welfare, Graduate School of Biomedical Engineering, Tohoku University, Sendai, Japan
| | - Saida Salima Nawrin
- Division of Biomedical Engineering for Health and Welfare, Graduate School of Biomedical Engineering, Tohoku University, Sendai, Japan
| | - Namareq Salah Widatalla
- Next Generation Biological Information Technology, Graduate School of Biomedical Engineering, Tohoku University, Sendai, Japan
| | - Yoshitaka Kimura
- Next Generation Biological Information Technology, Graduate School of Biomedical Engineering, Tohoku University, Sendai, Japan
- Artificial Intelligence (AI) in Obstetrics and Gynecology Medical Care, Graduate School of Medicine, Tohoku University, Sendai, Japan
| | - Ryoichi Nagatomi
- Department of Medicine and Science in Sports and Exercise, Graduate School of Medicine, Tohoku University, Sendai, Japan
- Division of Biomedical Engineering for Health and Welfare, Graduate School of Biomedical Engineering, Tohoku University, Sendai, Japan
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Dey KC, Zakrzewski-Fruer JK, Smith LR, Jones RL, Bailey DP. The Prevalence of Daily Sedentary Time in South Asian Adults: A Systematic Review. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2021; 18:ijerph18179275. [PMID: 34501864 PMCID: PMC8431135 DOI: 10.3390/ijerph18179275] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 08/05/2021] [Revised: 08/27/2021] [Accepted: 08/29/2021] [Indexed: 11/16/2022]
Abstract
This study aimed to systematically review total daily sedentary time in South Asian adults. Seven electronic databases were searched, identifying relevant articles published in peer-reviewed journals between March 1990 and March 2021. The study was designed in accordance with PRISMA guidelines. Prospective or cross-sectional design studies reporting total daily sedentary time in South Asian adults (aged ≥18 years), reported in English, were included. Study quality and risk of bias were assessed, and the weighted mean total daily sedentary time was calculated. Fourteen full texts were included in this systematic review from studies that were conducted in Bangladesh, India, Norway, Singapore, and the United Kingdom. Pooled sedentary time across all studies was 424 ± 8 min/day. Sedentary time was measured using self-report questionnaires in seven studies, with a weighted mean daily sedentary time of 416 ± 19 min/day. Eight studies used accelerometers and inclinometers with a weighted mean sedentary time of 527 ± 11 min/day. South Asian adults spend a large proportion of their time being sedentary, especially when recorded using objective measures (~9 h/day). These findings suggest that South Asians are an important target population for public health efforts to reduced sedentary time, and researchers and practitioners should seek to standardise and carefully consider the tools used when measuring sedentary time in this population.
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Affiliation(s)
- Kamalesh C. Dey
- Institute for Sport and Physical Activity Research, School of Sport Science and Physical Activity, University of Bedfordshire, Bedford MK41 9EA, UK; (K.C.D.); (L.R.S.); (R.L.J.); (D.P.B.)
| | - Julia K. Zakrzewski-Fruer
- Institute for Sport and Physical Activity Research, School of Sport Science and Physical Activity, University of Bedfordshire, Bedford MK41 9EA, UK; (K.C.D.); (L.R.S.); (R.L.J.); (D.P.B.)
- Correspondence: ; Tel.: +44-(0)1234-793410
| | - Lindsey R. Smith
- Institute for Sport and Physical Activity Research, School of Sport Science and Physical Activity, University of Bedfordshire, Bedford MK41 9EA, UK; (K.C.D.); (L.R.S.); (R.L.J.); (D.P.B.)
| | - Rebecca L. Jones
- Institute for Sport and Physical Activity Research, School of Sport Science and Physical Activity, University of Bedfordshire, Bedford MK41 9EA, UK; (K.C.D.); (L.R.S.); (R.L.J.); (D.P.B.)
| | - Daniel P. Bailey
- Institute for Sport and Physical Activity Research, School of Sport Science and Physical Activity, University of Bedfordshire, Bedford MK41 9EA, UK; (K.C.D.); (L.R.S.); (R.L.J.); (D.P.B.)
- Division of Sport, Health and Exercise Sciences, Department of Life Sciences, Brunel University London, Uxbridge UB8 3PH, UK
- Sedentary Behaviour, Health and Disease Research Group, Brunel University London, Uxbridge UB8 3PH, UK
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27
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Sit less and move more for cardiovascular health: emerging insights and opportunities. Nat Rev Cardiol 2021; 18:637-648. [PMID: 34017139 DOI: 10.1038/s41569-021-00547-y] [Citation(s) in RCA: 89] [Impact Index Per Article: 29.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 03/22/2021] [Indexed: 02/01/2023]
Abstract
Sedentary behaviour - put simply, too much sitting, as a distinct concept from too little exercise - is a novel determinant of cardiovascular risk. This definition provides a perspective that is complementary to the well-understood detrimental effects of physical inactivity. Sitting occupies the majority of the daily waking hours in most adults and has become even more pervasive owing to the COVID-19 pandemic. The potential for a broad cardiovascular health benefit exists through an integrated approach that involves 'sitting less and moving more'. In this Review, we first consider observational and experimental evidence on the adverse effects of prolonged, uninterrupted sitting and the evidence identifying the possible mechanisms underlying the associated risk. We summarize the results of randomized controlled trials demonstrating the feasibility of changing sedentary behaviour. We also highlight evidence on the deleterious synergies between sedentary behaviour and physical inactivity as the underpinnings of our case for addressing them jointly in mitigating cardiovascular risk. This integrated approach should not only reduce the specific risks of too much sitting but also have a positive effect on the total amount of physical activity, with the potential to more broadly benefit the health of individuals living with or at risk of developing cardiovascular disease.
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Quan M, Xun P, Wu H, Wang J, Cheng W, Cao M, Zhou T, Huang T, Gao Z, Chen P. Effects of interrupting prolonged sitting on postprandial glycemia and insulin responses: A network meta-analysis. JOURNAL OF SPORT AND HEALTH SCIENCE 2021; 10:419-429. [PMID: 33359636 PMCID: PMC8343076 DOI: 10.1016/j.jshs.2020.12.006] [Citation(s) in RCA: 13] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/14/2020] [Revised: 10/11/2020] [Accepted: 10/30/2020] [Indexed: 06/07/2023]
Abstract
PURPOSE This study aimed to evaluate the effectiveness of physical activity (PA) interrupting prolonged sitting (PS) on postprandial glycemia and insulin responses among adults. METHODS PubMed, EMBASE, Cochrane Library, Web of Science, CINAHL, PsycINFO, and the China National Knowledge Infrastructure databases were searched through September 30, 2020. Randomized controlled trials (RCTs) that examined the effect of all forms of PA interrupting PS on postprandial glycemia and/or insulin responses among adults without chronic diseases were included in this study. The risk of bias of included studies was evaluated based on the Cochrane tool. A network meta-analysis was performed to estimate the summary standardized mean differences (SMDs) with 95% confidence intervals (95%CIs) with random effects. RESULTS Thirty crossover RCTs were included in our review. These RCTs included 9 types of interventions that interrupted PS. When compared to PS by itself, light-intensity PA intermittent interrupting (LPA-INT) PS and moderate-intensity PA intermittent interrupting (MPA-INT) PS significantly lowered postprandial glycemia (SMD = -0.46, 95%CI: -0.70 to -0.21; SMD = -0.69, 95%CI: -1.00 to -0.37, respectively) and significantly reduced postprandial insulin response (SMD = -0.46, 95%CI: -0.66 to -0.26; SMD = -0.47, 95%CI: -0.77 to -0.17, respectively). Results of the clustered ranking plot indicated that MPA-INT was the most effective intervention in lowering postprandial glycemia and insulin responses. CONCLUSION Replacing PS with MPA-INT or LPA-INT has a positive effect in reducing postprandial glycemia and insulin responses, with MPA-INT being the optimal intervention strategy.
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Affiliation(s)
- Minghui Quan
- School of Kinesiology, Shanghai University of Sport, Shanghai 200438, China.
| | - Pengcheng Xun
- Department of Epidemiology and Biostatistics, School of Public Health-Bloomington, Indiana University, Bloomington, IN 47405, USA
| | - Hua Wu
- Rehabilitation Medicine Center, The Second Affiliated Hospital of Jiaxing University, Jiaxing 314000, China
| | - Jing Wang
- School of Sports Science and Engineering, East China University of Science and Technology, Shanghai 200237, China
| | - Wei Cheng
- Department of Endocrinology, Yangpu Hospital Affiliated to Tongji University, Shanghai 200090, China
| | - Meng Cao
- Institute of Physical Education, Normal College, Shenzhen University, Shenzhen 518061, China
| | - Tang Zhou
- School of Kinesiology, Shanghai University of Sport, Shanghai 200438, China
| | - Tao Huang
- Department of Physical Education, Shanghai Jiao Tong University, Shanghai 200240, China
| | - Zan Gao
- School of Kinesiology, University of Minnesota, Minneapolis, MN 55455, USA
| | - Peijie Chen
- School of Kinesiology, Shanghai University of Sport, Shanghai 200438, China.
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Van Stappen V, Cardon G, De Craemer M, Mavrogianni C, Usheva N, Kivelä J, Wikström K, De Miquel-Etayo P, González-Gil EM, Radó AS, Nánási A, Iotova V, Manios Y, Brondeel R. The effect of a cluster-randomized controlled trial on lifestyle behaviors among families at risk for developing type 2 diabetes across Europe: the Feel4Diabetes-study. Int J Behav Nutr Phys Act 2021; 18:86. [PMID: 34210333 PMCID: PMC8252328 DOI: 10.1186/s12966-021-01153-4] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/09/2020] [Accepted: 06/09/2021] [Indexed: 12/17/2022] Open
Abstract
BACKGROUND This study investigated the effect of the Feel4Diabetes-intervention, a 2-year multilevel intervention, on energy balance-related behaviors among European families at risk for developing type 2 diabetes. Intervention effects on self-reported physical activity, sedentary behavior and eating behaviors were investigated across and within the participating countries: Belgium, Finland, Greece, Spain, Hungary and Bulgaria. METHODS Families were recruited through schools, located in low socio-economic status areas. In total, 4484 families at risk for developing type 2 diabetes were selected using the FINDRISC-questionnaire. Parents' and children's energy balance-related behaviors data were collected by questionnaires at three time points (baseline, mid- and post intervention). Families assigned to the intervention group were invited to participate in a 2-year school-, community-, and family-based intervention to promote a healthier lifestyle, including counseling sessions (first intervention year) and text messages (second intervention year). Families assigned to the control group received standard care, including medical check-up results and recommendations and tips regarding a healthy lifestyle. To assess the intervention-effects, Mixed Models were conducted using the R-Package "lmer "with R v3.2. RESULTS Significant intervention effects were found on a certain number of families' lifestyle behaviors. Significant favorable intervention effects were detected on parents' water consumption and consumption of fruit and vegetables, and on children's consumption of sweets and moderate-to-vigorous physical activity. Analyses by country revealed significant favorable intervention effects on water consumption and on moderate-to-vigorous physical activity in Belgian parents and on fruit and vegetable consumption among Belgian children, on sweets consumption among Spanish parents and children, and on moderate-to-vigorous physical activity among Finnish children. Unfavorable intervention effects were found on the consumption of soft drinks and sugar-containing juices among Hungarian children and parents, while when examining the intervention effects for the overall population and per country, 10 from the 112 investigated outcome variables were improved in the intervention group compared to the control group (9%). CONCLUSIONS The Feel4Diabetes-intervention managed to improve a certain number of targeted lifestyle behaviors while the intervention was not effective on a large number of targeted lifestyle behaviors. The findings of the current study are encouraging, but further research is needed on how we can further improve effectiveness of lifestyle interventions to prevent type 2 diabetes in families at risk. TRIAL REGISTRATION The Feel4Diabetes-study is registered with the clinical trials registry http://clinicaltrials.gov , ID: 643708.
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Affiliation(s)
- Vicky Van Stappen
- Department of Movement and Sports Sciences, Ghent University, Ghent, Belgium.
| | - Greet Cardon
- Department of Movement and Sports Sciences, Ghent University, Ghent, Belgium
| | - Marieke De Craemer
- Research Foundation Flanders (FWO), Egmontstraat 5, 1000, Brussels, Belgium
- Department of Rehabilitation Sciences, Ghent University, Ghent, Belgium
| | - Christina Mavrogianni
- Department of Nutrition and Dietetics, Harokopio University, School of Health Science & Education, Athens, Greece
| | - Nataliya Usheva
- Clinic of Paediatric Endocrinology, Medical University Varna, Varna, Bulgaria
| | - Jemina Kivelä
- Finnish Institute for Health and Welfare, Helsinki, Finland
| | - Katja Wikström
- Finnish Institute for Health and Welfare, Helsinki, Finland
| | - Pilar De Miquel-Etayo
- GENUD (Growth, Exercise, Nutrition and Development), University of Zaragoza, Zaragoza, Spain
| | - Esther M González-Gil
- GENUD (Growth, Exercise, Nutrition and Development), University of Zaragoza, Zaragoza, Spain
- Department of Biochemistry and Molecular Biology II, Center of Biomedical Research (CIBM), Instituto de Nutrición y Tecnología de los Alimentos, Universidad de Granada, Granada, Spain
- CIBER Fisiopatología de la Obesidad y Nutrición, Instituto de Salud Carlos III, Madrid, Spain
| | - Anett S Radó
- Debreceni Egyetem (UoD), University of Debrecen, Debrecen, Hungary
| | - Anna Nánási
- Debreceni Egyetem (UoD), University of Debrecen, Debrecen, Hungary
| | - Violeta Iotova
- Clinic of Paediatric Endocrinology, Medical University Varna, Varna, Bulgaria
| | - Yannis Manios
- Department of Nutrition and Dietetics, Harokopio University, School of Health Science & Education, Athens, Greece
| | - Ruben Brondeel
- Department of Movement and Sports Sciences, Ghent University, Ghent, Belgium
- Research Foundation Flanders (FWO), Egmontstraat 5, 1000, Brussels, Belgium
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Li R, Li S, Pan M, Chen H, Liu X, Chen G, Chen R, Yin S, Hu K, Mao Z, Huo W, Wang X, Yu S, Guo Y, Hou J, Wang C. Physical activity counteracted associations of exposure to mixture of air pollutants with mitochondrial DNA copy number among rural Chinese adults. CHEMOSPHERE 2021; 272:129907. [PMID: 33601207 DOI: 10.1016/j.chemosphere.2021.129907] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/19/2020] [Revised: 02/01/2021] [Accepted: 02/04/2021] [Indexed: 06/12/2023]
Abstract
BACKGROUND Exposure to single air pollutant and physical activity (PA) were associated with an altered mitochondrial DNA copy number (mtDNA-CN). However, studies on the interactive effects of single or a mixture of air pollutants and PA on mtDNA-CN were limited. METHODS A total of 2707 Chinese adults were obtained from the Henan Rural Cohort Study. Spatiotemporal models were used to estimate particulate matter (PMs) (PM with an aerodynamic diameter ≤ 1.0 μm (PM1), ≤2.5 μm (PM2.5) or ≤ 10 μm (PM10)) and nitrogen dioxide (NO2) concentrations. Relative mtDNA-CN was measured by quantitative real-time polymerase chain reaction. Linear regression and quantile g-computation models were applied to examine associations of single or mixture of air pollutants with relative mtDNA-CN. The interactive effects of single or mixture of air pollutants and PA on relative mtDNA-CN were visualized by using Interaction plots. RESULTS Each 1 μg/m3 increment in PM1, PM2.5, PM10 or NO2 was associated with a 5.11% (95% confidence interval: 3.71%, 6.53%), 6.77% (4.81%, 8.76%), 3.05% (2.22%, 3.87%) or 4.99% (3.45%, 6.55%) increase in relative mtDNA-CN. Each one-quartile increment in mixture of the four air pollutants was related to a 0.053 (0.032, 0.075) increase in relative mtDNA-CN. Negative interaction effects of single or mixture of air pollutants and PA on relative mtDNA-CN were observed. CONCLUSIONS The positive associations of single or mixture of air pollutants with relative mtDNA-CN were counteracted by PA at certain levels, implying that PA may be a costless and effective approach to decrease negative effects of air pollution on mtDNA-CN.
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Affiliation(s)
- Ruiying Li
- Department of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, Zhengzhou, Henan, PR China
| | - Shanshan Li
- Department of Epidemiology and Preventive Medicine, School of Public Health and Preventive Medicine, Monash University, Melbourne, Australia
| | - Mingming Pan
- Department of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, Zhengzhou, Henan, PR China
| | - Hao Chen
- Department of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, Zhengzhou, Henan, PR China
| | - Xiaotian Liu
- Department of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, Zhengzhou, Henan, PR China
| | - Gongbo Chen
- Guangdong Provincial Engineering Technology Research Center of Environmental and Health Risk Assessment, Department of Occupational and Environmental Health, School of Public Health, Sun Yat-sen University, Guangzhou, 510080, China
| | - Ruoling Chen
- Faculty of Education, Health and Wellbeing, University of Wolverhampton, Wolverhampton, UK
| | - Shanshan Yin
- Department of health policy research, Henan Academy of Medical Sciences, Zhengzhou, China
| | - Kai Hu
- Department of health policy research, Henan Academy of Medical Sciences, Zhengzhou, China
| | - Zhenxing Mao
- Department of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, Zhengzhou, Henan, PR China
| | - Wenqian Huo
- Department of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, Zhengzhou, Henan, PR China
| | - Xian Wang
- Department of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, Zhengzhou, Henan, PR China
| | - Songcheng Yu
- Department of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, Zhengzhou, Henan, PR China
| | - Yuming Guo
- Department of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, Zhengzhou, Henan, PR China; Department of Epidemiology and Preventive Medicine, School of Public Health and Preventive Medicine, Monash University, Melbourne, Australia
| | - Jian Hou
- Department of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, Zhengzhou, Henan, PR China.
| | - Chongjian Wang
- Department of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, Zhengzhou, Henan, PR China.
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Charles M, Thivel D, Verney J, Isacco L, Husu P, Vähä-Ypyä H, Vasankari T, Tardieu M, Fillon A, Genin P, Larras B, Chabanas B, Pereira B, Duclos M. Reliability and Validity of the ONAPS Physical Activity Questionnaire in Assessing Physical Activity and Sedentary Behavior in French Adults. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2021; 18:ijerph18115643. [PMID: 34070452 PMCID: PMC8197457 DOI: 10.3390/ijerph18115643] [Citation(s) in RCA: 13] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 04/11/2021] [Revised: 05/19/2021] [Accepted: 05/22/2021] [Indexed: 11/16/2022]
Abstract
This study was conducted to assess the validity and reliability of a new questionnaire, the ONAPS-PAQ, developed to assess physical activity (PA) and sedentary behaviors (SB) in the general population. A total of 137 healthy adults aged 18 to 69 years were included. Following completion of two physical activity questionnaires (ONAPS-PAQ and GPAQ, the Global physical activity questionnaire) to study concurrent validity, participants wore an accelerometer (UKK-RM42) for 7 days to study criterion validity. A subsample (n = 36) also completed a 7-day-interval test-retest protocol to assess its reliability. Reliability was tested by the intraclass correlation coefficient (ICC) and Kappa coefficient; concurrent and criterion validity by the Spearman correlation coefficient (ρ) and Bland-Altman plot analyses. The ONAPS-PAQ showed good reliability (ICC = 0.71-0.98; Kappa = 0.61-0.99) and concurrent validity (ρ = 0.56-0.86), but only poor criterion validity (ρ = 0.26-0.41), and wide limits of agreement. Self-reported and accelerometer-measured SB were better correlated with ONAPS-PAQ than GPAQ (0.41 vs. 0.26, respectively) and medians were comparable, whereas the GPAQ underestimated SB (SBacc = 481 (432-566), SBONAPS = 480 (360-652), SBGPAQ = 360 (240-540) min·day-1; median (q1-q3)). The ONAPS-PAQ provides good reliability and acceptable validity for the measurement of PA and SB and seems to provide a better assessment of SB than GPAQ.
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Affiliation(s)
- Marc Charles
- Département de Santé Publique, Centre Hospitalier Universitaire Gabriel Montpied, 63003 Clermont-Ferrand, France;
- Correspondence:
| | - David Thivel
- Laboratoire des Adaptations Métaboliques à l’Exercice en Condition Physiologique et Pathologique (AME2P), Université Clermont Auvergne, 63178 Aubière, France; (D.T.); (J.V.); (L.I.)
| | - Julien Verney
- Laboratoire des Adaptations Métaboliques à l’Exercice en Condition Physiologique et Pathologique (AME2P), Université Clermont Auvergne, 63178 Aubière, France; (D.T.); (J.V.); (L.I.)
| | - Laurie Isacco
- Laboratoire des Adaptations Métaboliques à l’Exercice en Condition Physiologique et Pathologique (AME2P), Université Clermont Auvergne, 63178 Aubière, France; (D.T.); (J.V.); (L.I.)
| | - Pauliina Husu
- The UKK Institute for Health Promotion Research, 3500 Tampere, Finland; (P.H.); (H.V.-Y.); (T.V.)
| | - Henri Vähä-Ypyä
- The UKK Institute for Health Promotion Research, 3500 Tampere, Finland; (P.H.); (H.V.-Y.); (T.V.)
| | - Tommi Vasankari
- The UKK Institute for Health Promotion Research, 3500 Tampere, Finland; (P.H.); (H.V.-Y.); (T.V.)
- Faculty of Medicine and Health Technology, Tampere University, 33014 Tampere, Finland
| | - Michèle Tardieu
- Observatoire National de l’Activité Physique et de la Sédentarité (ONAPS), Faculté de Médecine, Université Clermont Auvergne, 63000 Clermont-Ferrand, France; (M.T.); (A.F.); (P.G.); (B.L.)
| | - Alicia Fillon
- Observatoire National de l’Activité Physique et de la Sédentarité (ONAPS), Faculté de Médecine, Université Clermont Auvergne, 63000 Clermont-Ferrand, France; (M.T.); (A.F.); (P.G.); (B.L.)
| | - Pauline Genin
- Observatoire National de l’Activité Physique et de la Sédentarité (ONAPS), Faculté de Médecine, Université Clermont Auvergne, 63000 Clermont-Ferrand, France; (M.T.); (A.F.); (P.G.); (B.L.)
| | - Benjamin Larras
- Observatoire National de l’Activité Physique et de la Sédentarité (ONAPS), Faculté de Médecine, Université Clermont Auvergne, 63000 Clermont-Ferrand, France; (M.T.); (A.F.); (P.G.); (B.L.)
| | - Bruno Chabanas
- Département de Santé Publique, Centre Hospitalier Universitaire Gabriel Montpied, 63003 Clermont-Ferrand, France;
| | - Bruno Pereira
- Unité de Biostatistique, Direction de la Recherche Clinique et de l’Innovation, Centre Hospitalier Universitaire Gabriel Montpied, 63003 Clermont-Ferrand, France;
| | - Martine Duclos
- Service de Médecine du Sport et des Explorations Fonctionnelles, Centre Hospitalier Universitaire Gabriel Montpied, 63003 Clermont-Ferrand, France;
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Does It Work for Everyone? The Effect of the Take a Stand! Sitting-Intervention in Subgroups Defined by Socio-Demographic, Health-Related, Work-Related, and Psychosocial Factors. J Occup Environ Med 2021; 62:30-36. [PMID: 31626067 DOI: 10.1097/jom.0000000000001737] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/19/2022]
Abstract
OBJECTIVE Take a Stand! was a multicomponent workplace-based intervention reducing sitting among office-workers. This study tested whether the effect of Take a Stand! differed across subgroups. METHODS A cluster-randomized controlled trial with objectively measured sitting-time as primary outcome evaluated Take a Stand! Main analysis was reanalyzed in strata defined by four levels of preselected factors: socio-demographic (eg, sex); health-related (eg, smoking); work-related (eg, workhours); and psychosocial (eg, motivation to change sitting). RESULTS No notable differences in the effect were observed: across all assessed subgroups sitting time was ∼60 minutes less after 1 month and ∼40 minutes less after 3 months in intervention as compared with control group. CONCLUSION There was no differential effect of Take a Stand! indicating that the intervention was effective in all groups. This knowledge is advantageous when disseminating similar interventions to different populations of office workers.
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Li R, Li S, Pan M, Chen H, Liu X, Chen G, Chen R, Mao Z, Huo W, Wang X, Yu S, Duan Y, Guo Y, Hou J, Wang C. Physical activity attenuated the association of air pollutants with telomere length in rural Chinese adults. THE SCIENCE OF THE TOTAL ENVIRONMENT 2021; 759:143491. [PMID: 33218817 DOI: 10.1016/j.scitotenv.2020.143491] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/28/2020] [Revised: 10/21/2020] [Accepted: 10/25/2020] [Indexed: 06/11/2023]
Abstract
BACKGROUND Exposure to air pollutants (nitrogen dioxide (NO2) and particulate matters (PMs)) or physical inactivity is linked to telomere length (TL) shortening. However, there is a lack of research on combined effects of either NO2 or PMs and physical activity (PA) on TL. This study aimed to explore the joint associations of air pollutants (NO2 or PMs) and PA with relative TL in rural Chinese adults. METHODS This study was conducted among 2704 participants aged 18-79 years in rural China. Concentrations of NO2 and PMs (PM with an aerodynamics diameter ≤ 1.0 μm (PM1), ≤2.5 μm (PM2.5) or ≤10 μm (PM10)) were estimated using random forest models incorporated with satellites data, meteorological data, and land use information. Relative TL of each participant was measured by a quantitative real-time polymerase chain reaction. Linear regression models were applied to examine the independent associations between PA, NO2 or PMs and relative TL. Interaction plots were used to depict the altered associations between NO2, PM1, PM2.5, or PM10 and relative TL along with increasing PA levels. RESULTS Each 1 μg/m3 increment in NO2, PM1, PM2.5, or PM10 was associated with a 0.038 (95% confidence intervals (CI): -0.044, -0.033), 0.036 (95% CI: -0.041, -0.031), 0.052 (95% CI: -0.059, -0.045), or 0.022 (95% CI: -0.025, -0.019) decrease in relative TL among all participants; similar findings were observed among normal glucose tolerance or impaired fasting glucose (IFG) participants as well as type 2 diabetes mellitus (T2DM) patients. PA at certain levels counteracted the association of air pollutants (NO2, PM1, PM2.5, and PM10) with relative TL among IFG participants or T2DM patients. CONCLUSIONS Long-term exposure to NO2 and PMs was associated with relative TL shortening and these effects may be counteracted by PA at certain levels in IFG participants or T2DM patients.
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Affiliation(s)
- Ruiying Li
- Department of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, Zhengzhou, Henan, PR China
| | - Shanshan Li
- Department of Epidemiology and Preventive Medicine, School of Public Health and Preventive Medicine, Monash University, Melbourne, Australia
| | - Mingming Pan
- Department of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, Zhengzhou, Henan, PR China
| | - Hao Chen
- Department of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, Zhengzhou, Henan, PR China
| | - Xiaotian Liu
- Department of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, Zhengzhou, Henan, PR China
| | - Gongbo Chen
- Guangdong Provincial Engineering Technology Research Center of Environmental and Health Risk Assessment, Department of Occupational and Environmental Health, School of Public Health, Sun Yat-sen University, Guangzhou 510080, PR China
| | - Ruoling Chen
- Faculty of Education, Health and Wellbeing, University of Wolverhampton, Wolverhampton, UK
| | - Zhenxing Mao
- Department of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, Zhengzhou, Henan, PR China
| | - Wenqian Huo
- Department of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, Zhengzhou, Henan, PR China
| | - Xian Wang
- Department of Maternal, Child and Adolescent Health, School of Public Health, Zhengzhou University, Zhengzhou, Henan, PR China
| | - Songcheng Yu
- Department of Nutrition and Food Hygiene, College of Public Health, Zhengzhou University, Zhengzhou, Henan, PR China
| | - Yanying Duan
- Department of Occupational and Environmental Health, Xiangya School of Public Health, Central South University, Changsha 410078, PR China
| | - Yuming Guo
- Department of Epidemiology and Preventive Medicine, School of Public Health and Preventive Medicine, Monash University, Melbourne, Australia
| | - Jian Hou
- Department of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, Zhengzhou, Henan, PR China.
| | - Chongjian Wang
- Department of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, Zhengzhou, Henan, PR China.
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Dong X, Li Y, Zhang L, Liu X, Tu R, Wang Y, Li R, Li L, Hou J, Mao Z, Huo W, Wang C. Independent and interactive effect of sitting time and physical activity on prevalence of hyperuricemia: the Henan Rural Cohort Study. Arthritis Res Ther 2021; 23:7. [PMID: 33407821 PMCID: PMC7789632 DOI: 10.1186/s13075-020-02385-8] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/27/2020] [Accepted: 12/07/2020] [Indexed: 12/30/2022] Open
Abstract
Background There are few studies on the hyperuricemia (HUA) and moderate to vigorous intensity physical activity (PA) and also hardly regarding sitting time (ST). The purpose of this study was to examine the independent and interactive association of PA and ST with HUA. Methods A cross-sectional analysis was performed on 38,855 participants (aged 18–79) enrolled from the Henan Rural Cohort Study at baseline (2015 to 2017). PA and ST levels were assessed by using the International Physical Activity Questionnaire (IPAQ). HUA was defined as a serum uric acid level of > 7.0 mg/dL for males and > 6.0 mg/dL for females. Multivariable logistic regression and linear regression models were applied to examine the independent association between PA or ST and HUA and serum uric acid level. Interaction plots were used to visualize the interaction effects of PA and ST on HUA. Results PA level was inversely related with serum uric acid level (β − 0.15, 95% confidence interval (CI) − 0.22, − 0.07), but ST was positively related with uric acid level (β 2.12, 95% CI 1.90, 2.34). Metabolic equivalent (MET-hour/day) was associated with decreased prevalence of HUA (odds ratio (OR) 0.97, 95% CI 0.96, 0.99), while per hour increased for ST was associated with increased HUA (OR 1.05, 95% CI 1.04, 1.06). The interaction of PA and ST was significant (P < 0.001). Conclusion Exposure to higher ST was independently related to increased prevalence of HUA, while vigorous PA with a decreased HUA prevalence. Meanwhile, higher daily ST might attenuate the protective effect of PA on HUA. Trial registration The Henan Rural Cohort Study has been registered at Chinese Clinical Trial Register (Registration number: ChiCTR-OOC-15006699).
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Affiliation(s)
- Xiaokang Dong
- Department of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, 100 Kexue Avenue, Zhengzhou, 450001, Henan, People's Republic of China
| | - Yuqian Li
- Department of Clinical Pharmacology, School of Pharmaceutical Science, Zhengzhou University, Zhengzhou, Henan, People's Republic of China
| | - Lulu Zhang
- Department of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, 100 Kexue Avenue, Zhengzhou, 450001, Henan, People's Republic of China
| | - Xiaotian Liu
- Department of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, 100 Kexue Avenue, Zhengzhou, 450001, Henan, People's Republic of China
| | - Runqi Tu
- Department of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, 100 Kexue Avenue, Zhengzhou, 450001, Henan, People's Republic of China
| | - Yikang Wang
- Department of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, 100 Kexue Avenue, Zhengzhou, 450001, Henan, People's Republic of China
| | - Ruiying Li
- Department of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, 100 Kexue Avenue, Zhengzhou, 450001, Henan, People's Republic of China
| | - Linlin Li
- Department of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, 100 Kexue Avenue, Zhengzhou, 450001, Henan, People's Republic of China
| | - Jian Hou
- Department of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, 100 Kexue Avenue, Zhengzhou, 450001, Henan, People's Republic of China
| | - Zhenxing Mao
- Department of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, 100 Kexue Avenue, Zhengzhou, 450001, Henan, People's Republic of China
| | - Wenqian Huo
- Department of Occupational and Environmental Health Science, College of Public Health, Zhengzhou University, 100 Kexue Avenue, Zhengzhou, Henan, 450001, People's Republic of China
| | - Chongjian Wang
- Department of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, 100 Kexue Avenue, Zhengzhou, 450001, Henan, People's Republic of China.
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De Cocker K, Verloigne M, Cardon G, Van Acker R. Public health communication and education to promote more physical activity and less sedentary behaviour: Development and formative evaluation of the 'physical activity triangle'. PATIENT EDUCATION AND COUNSELING 2021; 104:75-84. [PMID: 32674949 DOI: 10.1016/j.pec.2020.06.025] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/07/2019] [Revised: 06/15/2020] [Accepted: 06/22/2020] [Indexed: 06/11/2023]
Abstract
OBJECTIVE Communication and education about health behaviours to the general population is essential in public health promotion. This paper describes the process and outcome of developing a new health education model (infographic) for physical activity (PA) and sedentary behaviour used in Flanders (Belgium). METHODS The Flanders Institute for Healthy Living, expertise centre for public health, coordinated a process, including the evaluation of its previous education model among citizens; reviewing existing models from other countries; expert panel meetings (n = 3); and a formative evaluation (34 focus groups) among citizen with various profiles. RESULTS The previous model was difficult to understand and not motivating. Foreign models (n = 18) were mostly expert-based (72 %), but not evaluated among citizens. Based on expert meetings, the new model includes a daily and weekly variety of activities at different volumes and intensities, sitting (interruptions), and physical and mental health benefits of PA. Based on the focus groups, no quantitative PA recommendations were integrated, and specific symbols, colours, and heart icons were crucial to illustrate different PA behaviours, volumes and intensities. PRACTICE IMPLICATIONS Involving several key stakeholders, especially sedentary/inactive and vulnerable citizens, is suggested when developing a health model. Citizens preferred non-quantitative PA messages and quantitative messages around sitting interruptions.
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Affiliation(s)
- Katrien De Cocker
- University of Southern Queensland, Institute for Resilient Regions, Centre for Health Research, Springfield QLD 4300, Australia; Ghent University, Department of Movement and Sports Sciences, B-9000 Ghent, Belgium.
| | - Maïté Verloigne
- Ghent University, Department of Public Health and Primary Care, B-9000 Ghent, Belgium
| | - Greet Cardon
- Ghent University, Department of Movement and Sports Sciences, B-9000 Ghent, Belgium
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Saeidifard F, Medina-Inojosa JR, Supervia M, Olson TP, Somers VK, Prokop LJ, Stokin GB, Lopez-Jimenez F. The Effect of Replacing Sitting With Standing on Cardiovascular Risk Factors: A Systematic Review and Meta-analysis. Mayo Clin Proc Innov Qual Outcomes 2020; 4:611-626. [PMID: 33367205 PMCID: PMC7749276 DOI: 10.1016/j.mayocpiqo.2020.07.017] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/17/2022] Open
Abstract
Objective To investigate the effect of replacing sitting with standing on cardiovascular risk factors tested in clinical trials. Methods We searched databases from inception up to August 28, 2019, for studies examining the effect of replacing sitting with standing on fasting blood glucose, fasting insulin, and lipid levels; blood pressure; body fat mass; weight; and waist circumference in healthy adults. Differences in mean ± SD values were used for pooling the data and calculating the mean differences and CIs. Results The search found 3507 abstracts. Nine clinical trials (8 randomized and 1 nonrandomized) with 877 (64.4% [n=565] women) participants met all inclusion criteria. The mean ± SD age was 45.34±5.41 years; mean follow-up was 3.81 months, and mean difference in standing time between the intervention and control groups was 1.33 hours per day. The follow-up fasting blood glucose and body fat mass values were slightly but significantly lower than baseline records in the intervention groups compared with control groups (−2.53; 95% CI, −4.27 to −0.79 mg/dL; and −0.75; 95% CI, −0.91 to −0.59 kg). The analysis for fasting insulin levels, lipid levels, blood pressure, weight, and waist circumference revealed no significant differences. Conclusion Replacing sitting with standing can result in very small but statistically significant decreases in fasting blood glucose levels and body fat mass with no significant effect on lipid levels, blood pressure, weight, and waist circumference. Replacing sitting with standing can be used as an adjunctive intervention to decrease the burden of cardiovascular risk factors but cannot be used as an alternative to physical activity to decrease sedentary time.
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Key Words
- BFM, body fat mass
- BMI, body mass index
- CVD, cardiovascular disease
- FBG, fasting blood glucose
- FI, fasting insulin
- HDL-C, high-density lipoprotein cholesterol
- LDL-C, low-density lipoprotein
- TC, total cholesterol
- TG, triglycerides
- WC, waist circumference
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Affiliation(s)
- Farzane Saeidifard
- Division of Preventive Cardiology, Department of Cardiovascular Medicine, Mayo Clinic, Rochester, MN
- Department of Medicine, Northwell Health, The Donald and Barbara Zucker School of Medicine at Hofstra/Northwell, New York, NY
| | - Jose R. Medina-Inojosa
- Division of Preventive Cardiology, Department of Cardiovascular Medicine, Mayo Clinic, Rochester, MN
| | - Marta Supervia
- Division of Preventive Cardiology, Department of Cardiovascular Medicine, Mayo Clinic, Rochester, MN
- Gregorio Marañón General University Hospital, Gregorio Marañón Health Research Institute, Madrid, Spain
| | - Thomas P. Olson
- Division of Preventive Cardiology, Department of Cardiovascular Medicine, Mayo Clinic, Rochester, MN
| | - Virend K. Somers
- Division of Preventive Cardiology, Department of Cardiovascular Medicine, Mayo Clinic, Rochester, MN
| | | | - Gorazd B. Stokin
- International Clinical Research Center (ICRC), St. Anne's University Hospital, Brno, Czech Republic
| | - Francisco Lopez-Jimenez
- Division of Preventive Cardiology, Department of Cardiovascular Medicine, Mayo Clinic, Rochester, MN
- Correspondence: Address to Francisco Lopez-Jimenez, MD, MSc, Division of Preventive Cardiology, Department of Cardiovascular Medicine, Mayo Clinic, 200 First St SW, Rochester, MN 55905. @preventingCVD
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Bennie JA, De Cocker K, Smith JJ, Wiesner GH. The epidemiology of muscle-strengthening exercise in Europe: A 28-country comparison including 280,605 adults. PLoS One 2020; 15:e0242220. [PMID: 33237930 PMCID: PMC7688125 DOI: 10.1371/journal.pone.0242220] [Citation(s) in RCA: 21] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/19/2020] [Accepted: 10/28/2020] [Indexed: 11/18/2022] Open
Abstract
OBJECTIVE Muscle-strengthening exercise (use of weight machines, free weights, push-ups, sit-ups), has multiple independent health benefits, and is a component of the Global physical activity guidelines. However, there is currently a lack of multi-country muscle-strengthening exercise prevalence studies. This study describes the prevalence and correlates of muscle-strengthening exercise across multiple European countries. METHODS Data were drawn from the European Health Interview Survey Wave 2 (2013-14), which included nationally representative samples (n = 3,774-24,016) from 28 European countries. Muscle-strengthening exercise was assessed using the European Health Interview Survey Physical Activity Questionnaire. Population-weighted proportions were calculated for (1) "insufficient" (0-1 days/week) or (2) "sufficient" muscle-strengthening exercise (≥2 days/week). Prevalence ratios were calculated using multivariate Poisson regression for those reporting sufficient muscle-strengthening by country and by sociodemographic/lifestyle characteristics (sex, age, education, income, self-rated health etc.). RESULTS Data were available for 280,605 European adults aged ≥18 years. Overall, 17.3% (95% CI = 17.1%-17.5%) reported sufficient muscle-strengthening exercise (≥2 days/week). Muscle-strengthening exercise was geographically patterned with the lowest prevalence reported in South-eastern European countries (Romania, Malta and Cyprus: range: 0.7%-7.4%), and the highest prevalence in the Nordic countries (Iceland, Sweden, and Denmark: range: 34.1%-51.6%). Older age, insufficient aerobic activity, poorer self-rated health, lower income/education, being female, and being overweight/obese were significantly associated with lower likelihood of reporting sufficient muscle-strengthening exercise, independently of other characteristics. CONCLUSIONS Most European adults do not report sufficient muscle-strengthening exercise, and prevalence estimates varied considerably across countries. Low participation in muscle-strengthening exercise is widespread across Europe, and warrants public health attention.
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Affiliation(s)
- Jason A. Bennie
- Physically Active Lifestyles Research Group (USQ PALs), Institute for Resilient Regions, University of Southern Queensland, Springfield, Queensland, Australia
| | - Katrien De Cocker
- Physically Active Lifestyles Research Group (USQ PALs), Institute for Resilient Regions, University of Southern Queensland, Springfield, Queensland, Australia
| | - Jordan J. Smith
- Priority Research Centre for Physical Activity and Nutrition, School of Education, University of Newcastle, Callaghan, New South Wales, Australia
| | - Glen H. Wiesner
- Institute for Health and Sport, Victoria University, Victoria, Australia
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Levels of Physical Activity Among Older Adults in the European Union. J Aging Phys Act 2020; 29:242-249. [PMID: 33027766 DOI: 10.1123/japa.2020-0177] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/21/2020] [Revised: 06/23/2020] [Accepted: 06/29/2020] [Indexed: 11/18/2022]
Abstract
The study aimed to ascertain the levels of older European people's physical activity according to sociodemographic variables. The sample size was 7,893 citizens aged 65 and over from the European Union. The participants were classified as physically inactive, adequately active, or highly active, according to the World Health Organization. The total metabolic equivalents of task minutes per week were also calculated. In the results, 55.5% of older people were adequately active, and 43.8% were highly active, especially in the North and West. The average metabolic equivalents of task minutes per week was 1,313 metabolic equivalents of task minutes, with walking as the main activity, followed by moderate physical activity and vigorous activity. Male older people of a lower age from the North and West, with a higher level of education and less difficulty in paying bills, were more likely to be physically active. As a conclusion, only slightly more than half the population were adequately active. These sociodemographic inequalities show the necessity of implementing specific measures.
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von Sommoggy J, Rueter J, Curbach J, Helten J, Tittlbach S, Loss J. How Does the Campus Environment Influence Everyday Physical Activity? A Photovoice Study Among Students of Two German Universities. Front Public Health 2020; 8:561175. [PMID: 33123509 PMCID: PMC7571200 DOI: 10.3389/fpubh.2020.561175] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/27/2020] [Accepted: 08/21/2020] [Indexed: 12/17/2022] Open
Abstract
Background: Sedentary time is high among university students. Prolonged sitting time and reduced physical activity is linked to a number of health risks, therefore interventions to increase options for physical activity on campuses are of high public health relevance. Evidence about the influence of the campus environment on movement and sedentary behavior of students is scarce. This study explores how the structural and social environment of two University campuses are related to students' everyday physical activity. Methods: We used the photovoice method to get a thorough insight into students' daily life on campus. We recruited a total of 46 University students in two German cities (University 1: n = 22, University 2: n = 24). They were asked to take ≥15 photos of places and situations on their respective campus that facilitate or hinder them to be physically active. The pictures were discussed with the participants in 10 focus groups. Focus group discussions were audio-recorded, transcribed and analyzed using content analysis. Results: Both universities do not exploit their potential of fostering daily physical activity on campus, according to the photos and discussions of the participating students. The vast green spaces offer no cues for movement: easily accessible equipment for sports (fixed or mobile) is lacking, walkways are partially hidden, and the facilities discourage from cycling to and on campus. Social norms induce participants to keep sitting during lectures and learning time. It was also pointed out that indoor hallways and foyers could be put to better use with regard to physical activity. The Photovoice project raised the participants' awareness of how the context influences their movement behavior, and helped them come up with solutions to make physical activity easier for students of their respective universities. Conclusion: The studied campuses discouraged students from being physically active by missing out on opportunities-indoors and outdoors-for fostering movement, such as designating the greens for games or walks, or providing sufficient lockers for biking gear. The results can serve as a basis to plan custom-made public health interventions.
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Affiliation(s)
- Julia von Sommoggy
- Medical Sociology, Department for Epidemiology and Preventive Medicine, University of Regensburg, Regensburg, Germany
| | - Jana Rueter
- Medical Sociology, Department for Epidemiology and Preventive Medicine, University of Regensburg, Regensburg, Germany
| | - Janina Curbach
- Medical Sociology, Department for Epidemiology and Preventive Medicine, University of Regensburg, Regensburg, Germany
| | - Jessica Helten
- Social and Health Sciences in Sport, Department of Sport Science, University of Bayreuth, Bayreuth, Germany
| | - Susanne Tittlbach
- Social and Health Sciences in Sport, Department of Sport Science, University of Bayreuth, Bayreuth, Germany
| | - Julika Loss
- Medical Sociology, Department for Epidemiology and Preventive Medicine, University of Regensburg, Regensburg, Germany
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De Cocker K, Teychenne M, White RL, Bennie JA. Adherence to aerobic and muscle-strengthening exercise guidelines and associations with psychological distress: A cross-sectional study of 14,050 English adults. Prev Med 2020; 139:106192. [PMID: 32640287 DOI: 10.1016/j.ypmed.2020.106192] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/02/2020] [Revised: 06/22/2020] [Accepted: 07/01/2020] [Indexed: 11/25/2022]
Abstract
Physical activity (PA) is beneficial for the prevention and management of psychological distress. However, no studies have investigated which combination/s of PA prescribed in the current global guidelines (i.e. aerobic moderate-to-vigorous PA [MVPA] and muscle-strengthening exercise [MSE]) are most strongly linked to reduced psychological distress. This study aimed to examine how PA guidelines adherence is associated with psychological distress. Using cross-sectional data of adults (n = 14,050) who participated in the 2012-2016 Health Survey for England, four categories of self-reported PA guidelines adherence were created: meeting none, only MSE, only aerobic MVPA, meeting both (exposure variables). Psychological distress (outcome) was measured using the General Health Questionnaire-12. The likelihood of experiencing high levels of psychological distress (cut-point of ≥4) across guidelines adherence categories was examined using logistic regression models adjusted for sociodemographic and lifestyle factors. About 17% of adults experienced high levels of psychological distress; 37.5% did not adhere to any PA guidelines (category 1), 1.3% met only MSE (category 2), 35.5% met only aerobic MVPA (category 3), and 25.7% met both guidelines (category 4). Compared to category 1, the likelihood of experiencing high psychological distress was lowest in category 4 (OR = 0.65, 95% CI: 0.54-0.77) followed by category 3 (OR = 0.78, 95% CI: 0.67-0.90), while it did not differ in category 2 (OR = 1.24, 95% CI: 0.75-2.05). This is the first study to identify the association between PA guidelines adherence and psychological distress in a large population sample. Findings suggest that meeting both aerobic MVPA and MSE guidelines might be most beneficial for mental health.
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Affiliation(s)
- Katrien De Cocker
- University of Southern Queensland, Institute for Resilient Regions, Springfield Central, Australia.
| | - Megan Teychenne
- Deakin University, Institute for Physical Activity and Nutrition (IPAN), School of Exercise and Nutrition Sciences, Geelong, Australia
| | - Rhiannon L White
- Western Sydney University, School of Health Sciences, Penrith, Australia
| | - Jason A Bennie
- University of Southern Queensland, Institute for Resilient Regions, Springfield Central, Australia
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López-Valenciano A, Mayo X, Liguori G, Copeland RJ, Lamb M, Jimenez A. Changes in sedentary behaviour in European Union adults between 2002 and 2017. BMC Public Health 2020; 20:1206. [PMID: 32843022 PMCID: PMC7448983 DOI: 10.1186/s12889-020-09293-1] [Citation(s) in RCA: 42] [Impact Index Per Article: 10.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/27/2020] [Accepted: 07/23/2020] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND Sedentary behaviour (SB) has been identified as an important mortality risk factor. Health organizations have recognised SB as a public health challenge with major health, social, and economic consequences. Researchers have alerted the need to develop specific strategies, to monitor, prevent, and reduce SB. However, there is no systematic analysis of the SB changes in European Union adults. We aimed to examine SB changes between 2002 and 2017 in the European Union (EU) adult population. METHODS SB prevalence (>4h30mins of sitting time/day) of 96,004 adults as a whole sample and country-by-country was analysed in 2002, 2005, 2013, and 2017 of the Sport and Physical Activity EU Special Eurobarometers' data. The SB question of a modified version of the International Physical Activity Questionnaire was considered. SB prevalence between countries and within years was analysed with a χ2 test, and SB between genders was analysed with the Z-Score test for two population proportions. RESULTS An association between the SB prevalence and the years was found (p < 0.001), with increases for the whole sample (2002: 49.3%, 48.5-50.0 95% confidence interval (CI); 2017: 54.5%, 53.9-55.0 95% CI) and men (2002: 51.2%, 50.0-52.4 95% CI; 2017: 55.8%, 55.0-56.7 95% CI) and women (2002: 47.6%, 46.6-48.7 95% CI; 2017: 53.4%, 52.6-54.1 95% CI) separately. The adjusted standardised residuals showed an increase in the observed prevalence versus the expected during 2013 and 2017 for the whole sample and women and during 2017 for men. For all years, differences were observed in the SB prevalence between countries for the whole sample, and men and women separately (p < 0.001). Besides, the SB prevalence was always higher in men versus women in the overall EU sample (p < 0.001). CONCLUSIONS SB prevalence increased between 2002 and 2017 for the EU as a whole and for both sexes separately. Additionally, differences in SB prevalence were observed for all years between EU countries in the whole sample and both sexes separately. Lastly, SB was consistently higher in men than women. These findings reveal a limited impact of current policies and interventions to tackle SB at the EU population level.
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Affiliation(s)
- A. López-Valenciano
- Observatory of Healthy & Active Living of Spain Active Foundation, Centre for Sport Studies, King Juan Carlos University, Madrid, Spain
- GO fit LAB, Ingesport, Madrid, Spain
| | - X. Mayo
- Observatory of Healthy & Active Living of Spain Active Foundation, Centre for Sport Studies, King Juan Carlos University, Madrid, Spain
| | - G. Liguori
- University of Rhode Island, Kingston, RI USA
| | - R. J. Copeland
- Advanced Wellbeing Research Centre, College of Health, Wellbeing, and Life Sciences, Sheffield Hallam University, Sheffield, UK
- The National Centre for Sport and Exercise Medicine, Sheffield, UK
| | - M. Lamb
- Advanced Wellbeing Research Centre, College of Health, Wellbeing, and Life Sciences, Sheffield Hallam University, Sheffield, UK
- Centre for Behavioural Science and Applied Psychology, Sheffield Hallam University, Sheffield, UK
| | - A. Jimenez
- Observatory of Healthy & Active Living of Spain Active Foundation, Centre for Sport Studies, King Juan Carlos University, Madrid, Spain
- GO fit LAB, Ingesport, Madrid, Spain
- Advanced Wellbeing Research Centre, College of Health, Wellbeing, and Life Sciences, Sheffield Hallam University, Sheffield, UK
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Liangruenrom N, Dumuid D, Craike M, Biddle SJH, Pedisic Z. Trends and correlates of meeting 24-hour movement guidelines: a 15-year study among 167,577 Thai adults. Int J Behav Nutr Phys Act 2020; 17:106. [PMID: 32838796 PMCID: PMC7446156 DOI: 10.1186/s12966-020-01011-9] [Citation(s) in RCA: 17] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/28/2020] [Accepted: 08/10/2020] [Indexed: 12/20/2022] Open
Abstract
Background Time spent in physical activity (PA), sedentary behaviour (SB), and sleep always takes up the whole day. New public health guidelines combining recommendations for PA, SB, and sleep have been issued in several countries. Thailand was the first country to release the 24-h guidelines for adults. Currently, there is no evidence on the population prevalence of meeting 24-h movement guidelines in Thailand. This study, therefore, aimed to determine 15-year trends and associations of meeting 24-h movement guidelines among Thai adults. Method We analysed cross-sectional data from 2001, 2004, 2009, and 2015 Thai Time-Use Surveys, coded using the International Classification of Activities for Time-Use Statistics (ICATUS). All ICATUS-based activities were categorised into moderate-to-vigorous PA (MVPA), light PA (LPA), SB, and sleep based on a previously developed classification system. A total of 167,577 adult participants were included. The participants were classified according to the Thai 24-h movement guidelines into meeting or not meeting the following criteria: 1) ≥150 min/week of MVPA; 2) interrupting SB every 2 h; 3) sleeping 7–9 h per day; and 4) adhering to all three guidelines. Results In 2015, the prevalence of adults who met the MVPA, SB, sleep, and overall recommendations was 81.7, 44.6, 56.4, and 21.3%, respectively. A significant linear increase was found for the prevalence of meeting the SB recommendation, while the prevalence meeting the MVPA, sleep, and overall recommendations was lowest in 2001, peaked in 2004 or 2009, and declined in 2015. The lowest odds for meeting the 24-h guidelines were found among males, those living in urban areas, inhabitants of Bangkok and South Thailand, unemployed, and those with low education level. Conclusions Despite promising trends in the prevalence of meeting PA, SB, and sleep recommendations, a majority of Thai adults still do not meet the overall 24-h movement guidelines. Further actions are needed to promote more MVPA, less SB, and adequate sleep in Thai adults, particularly among males, those living in urban areas, inhabitants of Bangkok and South Thailand, unemployed, and those with low education level.
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Affiliation(s)
- Nucharapon Liangruenrom
- Institute for Health and Sport, Victoria University, PO Box 14428, Melbourne, VIC, 8001, Australia.,Institute for Population and Social Research, Mahidol University, Phutthamonthon Sai 4 Road, Salaya, Phutthamonthon, Nakhon Pathom, 73170, Thailand
| | - Dorothea Dumuid
- Allied Health and Human Performance, Alliance for Research in Exercise, Nutrition and Activity, University of South Australia, Frome Road, Adelaide, South Australia, 5001, Australia
| | - Melinda Craike
- Institute for Health and Sport, Victoria University, PO Box 14428, Melbourne, VIC, 8001, Australia.,Mitchell Institute for Education and Health Policy, Victoria University, PO Box 14428, Melbourne, VIC, 8001, Australia
| | - Stuart J H Biddle
- Centre for Health Research, University of Southern Queensland, Education City, 37 Sinnathamby Boulevard, Springfield Central, Queensland, 4300, Australia
| | - Zeljko Pedisic
- Institute for Health and Sport, Victoria University, PO Box 14428, Melbourne, VIC, 8001, Australia.
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Murtagh EM, Murphy MH, Milton K, Roberts NW, O'Gorman CS, Foster C. Interventions outside the workplace for reducing sedentary behaviour in adults under 60 years of age. Cochrane Database Syst Rev 2020; 7:CD012554. [PMID: 32678471 PMCID: PMC7389819 DOI: 10.1002/14651858.cd012554.pub2] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/11/2023]
Abstract
BACKGROUND Adults spend a majority of their time outside the workplace being sedentary. Large amounts of sedentary behaviour increase the risk of type 2 diabetes, cardiovascular disease, and both all-cause and cardiovascular disease mortality. OBJECTIVES Primary • To assess effects on sedentary time of non-occupational interventions for reducing sedentary behaviour in adults under 60 years of age Secondary • To describe other health effects and adverse events or unintended consequences of these interventions • To determine whether specific components of interventions are associated with changes in sedentary behaviour • To identify if there are any differential effects of interventions based on health inequalities (e.g. age, sex, income, employment) SEARCH METHODS: We searched CENTRAL, MEDLINE, Embase, Cochrane Database of Systematic Reviews, CINAHL, PsycINFO, SportDiscus, and ClinicalTrials.gov on 14 April 2020. We checked references of included studies, conducted forward citation searching, and contacted authors in the field to identify additional studies. SELECTION CRITERIA We included randomised controlled trials (RCTs) and cluster RCTs of interventions outside the workplace for community-dwelling adults aged 18 to 59 years. We included studies only when the intervention had a specific aim or component to change sedentary behaviour. DATA COLLECTION AND ANALYSIS Two review authors independently screened titles/abstracts and full-text articles for study eligibility. Two review authors independently extracted data and assessed risk of bias. We contacted trial authors for additional information or data when required. We examined the following primary outcomes: device-measured sedentary time, self-report sitting time, self-report TV viewing time, and breaks in sedentary time. MAIN RESULTS We included 13 trials involving 1770 participants, all undertaken in high-income countries. Ten were RCTs and three were cluster RCTs. The mean age of study participants ranged from 20 to 41 years. A majority of participants were female. All interventions were delivered at the individual level. Intervention components included personal monitoring devices, information or education, counselling, and prompts to reduce sedentary behaviour. We judged no study to be at low risk of bias across all domains. Seven studies were at high risk of bias for blinding of outcome assessment due to use of self-report outcomes measures. Primary outcomes Interventions outside the workplace probably show little or no difference in device-measured sedentary time in the short term (mean difference (MD) -8.36 min/d, 95% confidence interval (CI) -27.12 to 10.40; 4 studies; I² = 0%; moderate-certainty evidence). We are uncertain whether interventions reduce device-measured sedentary time in the medium term (MD -51.37 min/d, 95% CI -126.34 to 23.59; 3 studies; I² = 84%; very low-certainty evidence) We are uncertain whether interventions outside the workplace reduce self-report sitting time in the short term (MD -64.12 min/d, 95% CI -260.91 to 132.67; I² = 86%; very low-certainty evidence). Interventions outside the workplace may show little or no difference in self-report TV viewing time in the medium term (MD -12.45 min/d, 95% CI -50.40 to 25.49; 2 studies; I² = 86%; low-certainty evidence) or in the long term (MD 0.30 min/d, 95% CI -0.63 to 1.23; 2 studies; I² = 0%; low-certainty evidence). It was not possible to pool the five studies that reported breaks in sedentary time given the variation in definitions used. Secondary outcomes Interventions outside the workplace probably have little or no difference on body mass index in the medium term (MD -0.25 kg/m², 95% CI -0.48 to -0.01; 3 studies; I² = 0%; moderate-certainty evidence). Interventions may have little or no difference in waist circumference in the medium term (MD -2.04 cm, 95% CI -9.06 to 4.98; 2 studies; I² = 65%; low-certainty evidence). Interventions probably have little or no difference on glucose in the short term (MD -0.18 mmol/L, 95% CI -0.30 to -0.06; 2 studies; I² = 0%; moderate-certainty evidence) and medium term (MD -0.08 mmol/L, 95% CI -0.21 to 0.05; 2 studies, I² = 0%; moderate-certainty evidence) Interventions outside the workplace may have little or no difference in device-measured MVPA in the short term (MD 1.99 min/d, 95% CI -4.27 to 8.25; 4 studies; I² = 23%; low-certainty evidence). We are uncertain whether interventions improve device-measured MVPA in the medium term (MD 6.59 min/d, 95% CI -7.35 to 20.53; 3 studies; I² = 70%; very low-certainty evidence). We are uncertain whether interventions outside the workplace improve self-reported light-intensity PA in the short-term (MD 156.32 min/d, 95% CI 34.34 to 278.31; 2 studies; I² = 79%; very low-certainty evidence). Interventions may have little or no difference on step count in the short-term (MD 226.90 steps/day, 95% CI -519.78 to 973.59; 3 studies; I² = 0%; low-certainty evidence) No data on adverse events or symptoms were reported in the included studies. AUTHORS' CONCLUSIONS Interventions outside the workplace to reduce sedentary behaviour probably lead to little or no difference in device-measured sedentary time in the short term, and we are uncertain if they reduce device-measured sedentary time in the medium term. We are uncertain whether interventions outside the workplace reduce self-reported sitting time in the short term. Interventions outside the workplace may result in little or no difference in self-report TV viewing time in the medium or long term. The certainty of evidence is moderate to very low, mainly due to concerns about risk of bias, inconsistent findings, and imprecise results. Future studies should be of longer duration; should recruit participants from varying age, socioeconomic, or ethnic groups; and should gather quality of life, cost-effectiveness, and adverse event data. We strongly recommend that standard methods of data preparation and analysis are adopted to allow comparison of the effects of interventions to reduce sedentary behaviour.
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Affiliation(s)
- Elaine M Murtagh
- Department of Physical Education and Sport Sciences, University of Limerick, Limerick, Ireland
- Physical Activity for Health Research Cluster, Health Research Institute (HRI), University of Limerick, Limerick, Ireland
| | - Marie H Murphy
- Sport & Exercise Sciences Research Institute, University of Ulster, Newtownabbey, UK
- Doctoral College, University of Ulster, Newtownabbey, UK
| | - Karen Milton
- Norwich Medical School, University of East Anglia, Norwich, UK
| | - Nia W Roberts
- Bodleian Health Care Libraries, University of Oxford, Oxford, UK
| | - Clodagh Sm O'Gorman
- Graduate Entry Medical School, Faculty of Education and Health Sciences, University of Limerick, Limerick, Ireland
| | - Charles Foster
- Centre for Exercise Nutrition and Health Sciences, School for Policy Studies, University of Bristol, Bristol, UK
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Cafruni CB, Olinto MTA, Costa JSDD, Bairros FSD, Henn RL. Comportamento sedentário em diferentes domínios de mulheres adultas do sul do Brasil: um estudo de base populacional. CIENCIA & SAUDE COLETIVA 2020; 25:2755-2768. [DOI: 10.1590/1413-81232020257.30082018] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/14/2018] [Accepted: 11/05/2018] [Indexed: 11/22/2022] Open
Abstract
Resumo O objetivo deste estudo foi descrever o comportamento sedentário (CS) nos domínios lazer, ocupação e deslocamento e verificar fatores associados ao excesso deste comportamento (ECS). Estudo transversal, com amostra representativa de 1.126 mulheres, 20-69 anos, de São Leopoldo/RS. CS, variáveis demográficas, socioeconômicas, comportamentais e relacionada à saúde foram avaliados através de questionário, aplicado em forma de entrevista. Considerou-se ECS valores acima da mediana. Utilizou-se regressão de Poisson com variância robusta. As medianas e intervalos interquartílicos (min/dia), para o CS no lazer, ocupação e deslocamento foram, respectivamente, 163,9 (86,6-2710,5), 51,4 (0-257,1) e 17,1 (5,7-37,3). A probabilidade do ECS no lazer aumentou com a escolaridade, foi maior entre as mulheres que não trabalhavam, sem crianças em casa e fumantes. Nos demais domínios, a probabilidade aumentou inversamente com a idade, foi maior entre mulheres brancas e aumentou com a classe econômica, escolaridade e renda. A probabilidade de ECS no deslocamento também aumentou com o número de carros no domicílio e foi 30% menor entre mulheres que não trabalhavam. O maior tempo de CS observado foi no domínio do lazer. As associações diferiram segundo o domínio, indicando distintas intervenções.
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Affiliation(s)
- Cristina Borges Cafruni
- Universidade Federal do Rio Grande do Sul, Brazil; Universidade do Vale do Rio dos Sinos, Brazil
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Abstract
Sitting for prolonged periods of time impairs people's health. Prior research has mainly investigated sitting behavior on an aggregate level, for example, by analyzing total sitting time per day. By contrast, taking a dynamic approach, here we conceptualize sitting behavior as a continuous chain of sit-to-stand and stand-to-sit transitions. We use multilevel time-to-event analysis to analyze the timing of these transitions. We analyze ∼30,000 objectively measured posture transitions from 156 people during work time. Results indicate that the temporal dynamics of sit-to-stand transitions differ from stand-to-sit transitions, and that people are quicker to switch postures later in the workday, and quicker to stand up after having been more active in the recent hours. We found no evidence for associations with physical fitness. Altogether, these findings provide insights into the origins of people's stand-up and sit-down decisions, show that sitting behavior is fundamentally different from exercise behavior, and provide pointers for the development of interventions.
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Virtanen M, Jokela M, Lallukka T, Magnusson Hanson L, Pentti J, Nyberg ST, Alfredsson L, Batty GD, Casini A, Clays E, DeBacquer D, Ervasti J, Fransson E, Halonen JI, Head J, Kittel F, Knutsson A, Leineweber C, Nordin M, Oksanen T, Pietiläinen O, Rahkonen O, Salo P, Singh-Manoux A, Stenholm S, Suominen SB, Theorell T, Vahtera J, Westerholm P, Westerlund H, Kivimäki M. Long working hours and change in body weight: analysis of individual-participant data from 19 cohort studies. Int J Obes (Lond) 2020; 44:1368-1375. [PMID: 31767974 PMCID: PMC7260128 DOI: 10.1038/s41366-019-0480-3] [Citation(s) in RCA: 22] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/31/2019] [Revised: 10/01/2019] [Accepted: 10/27/2019] [Indexed: 02/05/2023]
Abstract
OBJECTIVE To examine the relation between long working hours and change in body mass index (BMI). METHODS We performed random effects meta-analyses using individual-participant data from 19 cohort studies from Europe, US and Australia (n = 122,078), with a mean of 4.4-year follow-up. Working hours were measured at baseline and categorised as part time (<35 h/week), standard weekly hours (35-40 h, reference), 41-48 h, 49-54 h and ≥55 h/week (long working hours). There were four outcomes at follow-up: (1) overweight/obesity (BMI ≥ 25 kg/m2) or (2) overweight (BMI 25-29.9 kg/m2) among participants without overweight/obesity at baseline; (3) obesity (BMI ≥ 30 kg/m2) among participants with overweight at baseline, and (4) weight loss among participants with obesity at baseline. RESULTS Of the 61,143 participants without overweight/obesity at baseline, 20.2% had overweight/obesity at follow-up. Compared with standard weekly working hours, the age-, sex- and socioeconomic status-adjusted relative risk (RR) of overweight/obesity was 0.95 (95% CI 0.90-1.00) for part-time work, 1.07 (1.02-1.12) for 41-48 weekly working hours, 1.09 (1.03-1.16) for 49-54 h and 1.17 (1.08-1.27) for long working hours (P for trend <0.0001). The findings were similar after multivariable adjustment and in subgroup analyses. Long working hours were associated with an excess risk of shift from normal weight to overweight rather than from overweight to obesity. Long working hours were not associated with weight loss among participants with obesity. CONCLUSIONS This analysis of large individual-participant data suggests a small excess risk of overweight among the healthy-weight people who work long hours.
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Affiliation(s)
- Marianna Virtanen
- School of Educational Sciences and Psychology, University of Eastern Finland, Joensuu, Finland.
- Stress Research Institute, Stockholm University, Stockholm, Sweden.
| | - Markus Jokela
- Department of Psychology and Logopedics, University of Helsinki, Helsinki, Finland
| | - Tea Lallukka
- Finnish Institute of Occupational Health, Helsinki, Finland
- Department of Public Health, Clinicum, University of Helsinki, Helsinki, Finland
| | | | - Jaana Pentti
- Department of Public Health, Clinicum, University of Helsinki, Helsinki, Finland
- 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
| | - Solja T Nyberg
- Department of Public Health, Clinicum, University of Helsinki, Helsinki, Finland
| | - Lars Alfredsson
- Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden
- Centre for Occupational and Environmental Medicine, Stockholm County Council, Stockholm, Sweden
| | - G David Batty
- Department of Epidemiology & Public Health, University College London, London, UK
- School of Biological & Population Health Sciences, Oregon State University, Corvallis, USA
| | - Annalisa Casini
- IPSY, Université catholique de Louvain (UCLouvain), Louvain-la-Neuve & School of Public Health, Université libre de Bruxelles (ULB), Brussels, Belgium
| | - Els Clays
- Department of Public Health, Ghent University, Ghent, Belgium
| | - Dirk DeBacquer
- Department of Public Health, Ghent University, Ghent, Belgium
| | - Jenni Ervasti
- Finnish Institute of Occupational Health, Helsinki, Finland
- Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden
| | - Eleonor Fransson
- Stress Research Institute, Stockholm University, Stockholm, Sweden
- Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden
- School of Health and Welfare, Jönköping University, Jönköping, Sweden
| | - Jaana I Halonen
- Stress Research Institute, Stockholm University, Stockholm, Sweden
- Finnish Institute of Occupational Health, Helsinki, Finland
| | - Jenny Head
- Department of Epidemiology & Public Health, University College London, London, UK
| | - France Kittel
- IPSY, Université catholique de Louvain (UCLouvain), Louvain-la-Neuve & School of Public Health, Université libre de Bruxelles (ULB), Brussels, Belgium
| | - Anders Knutsson
- Department of Health Sciences, Mid Sweden University, Sundsvall, Sweden
| | | | - Maria Nordin
- Department of Psychology, Umeå University, Umeå, Sweden
| | - Tuula Oksanen
- Finnish Institute of Occupational Health, Helsinki, Finland
| | - Olli Pietiläinen
- Department of Public Health, Clinicum, University of Helsinki, Helsinki, Finland
| | - Ossi Rahkonen
- Department of Public Health, Clinicum, University of Helsinki, Helsinki, Finland
| | - Paula Salo
- Finnish Institute of Occupational Health, Helsinki, Finland
- Department of Psychology, University of Turku, Turku, Finland
| | - Archana Singh-Manoux
- Department of Epidemiology & Public Health, University College London, London, UK
- INSERM, U 1018, Villejuif, France
| | - 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
| | - Sakari B Suominen
- Department of Public Health, University of Turku and Turku University Hospital, Turku, Finland
- Folkhälsan Research Center, Helsinki, Finland
- University of Skövde, Skövde, Sweden
| | - Töres Theorell
- Stress Research Institute, Stockholm University, Stockholm, Sweden
| | - 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
| | - Peter Westerholm
- Occupational and Environmental Medicine, Uppsala University, Uppsala, Sweden
| | - Hugo Westerlund
- Stress Research Institute, Stockholm University, Stockholm, Sweden
| | - Mika Kivimäki
- Department of Public Health, Clinicum, University of Helsinki, Helsinki, Finland
- Department of Epidemiology & Public Health, University College London, London, UK
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Leão OADA, Knuth AG, Meucci RD. Sedentary behavior in elderly residents from the rural area in Southern Brazil. REVISTA BRASILEIRA DE EPIDEMIOLOGIA 2020; 23:e200008. [PMID: 32130397 DOI: 10.1590/1980-549720200008] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/13/2018] [Accepted: 12/10/2018] [Indexed: 11/21/2022] Open
Abstract
INTRODUCTION Sedentary behavior has been associated with several health indicators. This study aims to describe this outcome in elderly people living in rural areas. METHODOLOGY A cross-sectional study was carried out with elderly people from the rural area in the city of Rio Grande/RS, in 2017. Data were collected using an electronic questionnaire. Sedentary behavior was evaluated by eight aspects: watching television/videos/DVDs, using computer/internet, reading, socializing with friends and/or family, driving or riding a car/bike/taking public transport, practicing a hobby, working, and other activities. The analysis was composed by the description of aspects and multivariable (linear regression) analysis to test associations between the outcome and socioeconomic, demographic and physical activity characteristics. Association of the excess of sedentary behavior and time watching television within the independent variables was also verified. RESULTS The mean of sedentary behavior was 274.9 minutes/day (n = 1,030), but watching television represented almost half (130.5 minutes/ day). Age was inversely associated with sedentary behavior, while income and schooling presented a direct relation. Income had a positive association with excessive sedentary behavior and time watching television. CONCLUSION The mean sedentary behavior was lower when compared with the literature for the elderly. We suggest that actions to encourage healthy habits aim especially at reducing the time spent watching television.
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Affiliation(s)
| | - Alan Goularte Knuth
- Instituto de Educação, Programa de Pós-Graduação em Saúde Pública, Universidade Federal do Rio Grande - Rio Grande (RS), Brasil
| | - Rodrigo Dalke Meucci
- Programa de Pós-Graduação em Saúde Pública, Universidade Federal do Rio Grande - Rio Grande (RS), Brasil
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Martins J, Marques A, Teixeira PJ, Mota J, Lopes C, Nicola PJ. Socio-demographic factors associated with physical activity and sitting time patterns in adults: An analysis based on the Portuguese Food, Nutrition and Physical Activity Survey. Eur J Sport Sci 2020; 21:250-260. [PMID: 32105186 DOI: 10.1080/17461391.2020.1736643] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/20/2022]
Abstract
ABSTRACTPhysical activity (PA) and sedentary behaviours (SB) influence health. Since most people engage in different combinations of both behaviours every day, understanding the socio-demographic characteristics of adults with distinct PA and sitting time (ST) patterns is important to contribute to evidence-based planning of public health strategies. Data from a national survey on diet and activity behaviours (IAN-AF, 2015/16) including 1724 adults (50.5% women, 18-64 years) from a representative sample of Portuguese adults was used in this study. Participants were interviewed face-to-face, and the International Physical Activity Questionnaire (IPAQ) was used. Logistic regression examined the associations between socio-demographic factors each of the four-low/high PA-ST groups. PA low/high categories were defined as in IPAQ, while ST low/high categories were defined according to ST tertiles (≤180 min/day, ≥360 min/day). A 'higher risk' behaviour pattern (low PA/high ST) was present in 37.3% of the adults and was likely associated with a middle household income, and with having 12 or more years of education. The 'lower risk' (high PA/low ST) represented 26.6% of the sample and was likely associated with middle-aged adults and with having a lower educational level. Being male, young and highly educated was related to being physically active and spending large amounts of time in ST. Besides adding to the body of mixed evidence on this theme, the identification of the socio-demographic factors associated with each PA/ST pattern will permit national public health authorities to define policies and tailored actions to promote PA and reduce ST.
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Affiliation(s)
- João Martins
- Laboratório de Pedagogia, Faculdade de Motricidade Humana e UIDEF, Instituto de Educação, Universidade de Lisboa, Lisboa, Portugal.,Instituto de Saúde Ambiental, Faculdade de Medicina, Universidade de Lisboa, Lisboa, Portugal
| | - Adilson Marques
- Instituto de Saúde Ambiental, Faculdade de Medicina, Universidade de Lisboa, Lisboa, Portugal.,Centro Interdisciplinar do Estudo da Performance Humana (CIPER), Faculdade de Motricidade Humana, Universidade de Lisboa, Lisboa, Portugal
| | - Pedro J Teixeira
- Centro Interdisciplinar do Estudo da Performance Humana (CIPER), Faculdade de Motricidade Humana, Universidade de Lisboa, Lisboa, Portugal
| | - Jorge Mota
- Centro de Investigação em Actividade Física Saúde e Lazer (CIAFEL), Faculdade de Desporto, Universidade do Porto, Porto, Portugal
| | - Carla Lopes
- Departamento de Ciências da Saúde Pública e Forenses, e Educação Médica, Faculdade de Medicina, Universidade do Porto, Porto, Portugal.,EPIUnit, Institute of Public Health, University of Porto, Porto, Portugal
| | - Paulo J Nicola
- Environmental Health Institute, Lisbon Medical School, University of Lisbon, Lisboa, Portugal.,Epidemiology Unit, Institute of Preventive Medicine and Public Health, Lisbon Medical School, University of Lisbon, Lisboa, Portugal
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Bakker EA, Hopman MTE, Lee DC, Verbeek ALM, Thijssen DHJ, Eijsvogels TMH. Correlates of Total and domain-specific Sedentary behavior: a cross-sectional study in Dutch adults. BMC Public Health 2020; 20:220. [PMID: 32050958 PMCID: PMC7017477 DOI: 10.1186/s12889-020-8316-6] [Citation(s) in RCA: 14] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/28/2019] [Accepted: 02/03/2020] [Indexed: 12/29/2022] Open
Abstract
Background Sedentary behavior (SB) is associated with increased risks of detrimental health outcomes. Few studies have explored correlates of SB in physically active individuals. Furthermore, SB correlates may depend on settings of SB, such as occupation, transportation and leisure time sitting. This study aims to identify subject-, lifestyle- and health-related correlates for total SB and different SB domains: transportation, occupation, and leisure time. Methods Dutch participants were recruited between June, 2015 and December, 2016. Participant characteristics (i.e. age, sex, weight, height, marital status, education level, employment), lifestyle (sleep, smoking, alcohol consumption, physical activity) and medical history were collected via an online questionnaire. SB was assessed using the Sedentary Behavior Questionnaire and estimated for 9 different activities during weekdays and weekend days. Logistic regression was used to calculate odds ratios and 95% confidence intervals for the association between correlates and SB. Total SB was dichotomized at > 8 h/day and > 10 h/day, and being sedentary during transportation, occupation and leisure time at the 75th percentile (60 min/day, 275 min/day and 410 min/day, respectively). Results In total, 8471 participants (median age 55, 55% men) were included of whom 86% met the physical activity guidelines. Median SB was 9.1 h/day (Q25 6.3-Q75 12.0) during weekdays and 7.4 h/day (Q25 5.5-Q75 9.5) during weekend days. SB was most prevalent during leisure time (5.3 h/day; Q25 3.9-Q75 6.8), followed by occupation (2 h/day; Q25 0.1-Q75 4.6) and transportation (0.5 h/day; Q25 0.2-Q75 1.0). Younger age, male sex, being unmarried, higher education, employment and higher BMI were significantly related to higher levels of total SB. Younger age, male sex, employment, and higher BMI increased the odds for high SB volumes during occupation and transportation. Higher education, being unmarried and smoking status were positively associated with high volumes of occupational SB only, whereas older age, being unmarried, unemployment, higher BMI and poor health were positively linked to leisure time SB. Conclusions SB is highly prevalent in physically active individuals, with SB during leisure time as the most important contributor. Correlates for high volumes of SB vary substantially across SB domains, emphasizing the difficulty to target this unhealthy lifestyle.
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Affiliation(s)
- Esmée A Bakker
- Department of Physiology, Radboud Institute for Health Sciences, Radboud University Medical Center, P.O. Box 9101, 6500, HB, Nijmegen, The Netherlands.,Research Institute for Sports and Exercise Sciences, Liverpool John Moores University, Liverpool, UK
| | - Maria T E Hopman
- Department of Physiology, Radboud Institute for Health Sciences, Radboud University Medical Center, P.O. Box 9101, 6500, HB, Nijmegen, The Netherlands
| | - Duck-Chul Lee
- Department of Kinesiology, Iowa State University, Ames, USA
| | - André L M Verbeek
- Department for Health Evidence, Radboud Institute for Health Sciences, Radboud University Medical Center, Nijmegen, The Netherlands
| | - Dick H J Thijssen
- Department of Physiology, Radboud Institute for Health Sciences, Radboud University Medical Center, P.O. Box 9101, 6500, HB, Nijmegen, The Netherlands.,Research Institute for Sports and Exercise Sciences, Liverpool John Moores University, Liverpool, UK
| | - Thijs M H Eijsvogels
- Department of Physiology, Radboud Institute for Health Sciences, Radboud University Medical Center, P.O. Box 9101, 6500, HB, Nijmegen, The Netherlands.
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Zhang N, Zhang F, Chen S, Han F, Lin G, Zhai Y, He H, Zhang J, Ma G. Associations between hydration state and pregnancy complications, maternal-infant outcomes: protocol of a prospective observational cohort study. BMC Pregnancy Childbirth 2020; 20:82. [PMID: 32033597 PMCID: PMC7006388 DOI: 10.1186/s12884-020-2765-x] [Citation(s) in RCA: 18] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/21/2019] [Accepted: 01/23/2020] [Indexed: 01/06/2023] Open
Abstract
BACKGROUND Water requirements increases with gestational age. Insufficient water intake causes dehydration, which may adversely affect maternal health and birth outcomes. However, few related studies have been conducted. The purposes are to assess the water intake and hydration state among pregnant women, and to investigate the associations with pregnancy complications and maternal and infant outcomes. METHODS A prospective observational cohort study will be applied. A total of 380 pregnant women will be recruited from the First Affiliated Hospital of Hainan Medical University. Hydration biomarkers and health outcomes will be tested during 15~17 weeks' gestation, 20~22 weeks' gestation, 30~32 weeks' gestation, during childbirth and 42 days after childbirth. Daily fluid intake will be collected using a 24-h fluid intake record for 7 consecutive days. A semi-quantified food frequency method will be used to assess food intake and water intake from food. Anthropometric measurement will be taken following standardized processes. Intracellular fluid (ICF) and extracellular fluid (ECF) will be measured using a body composition analyzer. Morning fasting urine and blood osmolality will be tested by laboratory physicians using an osmotic pressure molar concentration meter. Pregnancy complications will be assessed and diagnosed throughout pregnancy and childbirth. Maternal-infant outcomes will be monitored using related indicators and technologies. In order to explore the internal mechanism and interactions from the perspective of endocrine, pregnancy related hormones (estradiol, prolactin, progesterone) and the hydration-related hormones (copeptin) will be tested during pregnancy. A mixed model of repeated measures ANOVA will be analyzed using SAS 9.2. RESULTS The results may provide basic data on water intake among pregnant women. The association between hydration state and maternal-infant outcomes will also be explored. CONCLUSIONS This preliminary exploratory study findings will fill the gaps in the research on water intake, hydration and maternal health, birth outcomes, provide scientific reference data for updating recommendation on water adequate intake among pregnant women, and provide suggestion for developing water intake interventions. TRIAL REGISTRATION The protocol has been registered on the website of Chinese Clinical Trial Registry. The Identifier code is ChiCTR1800019284. The Registry date is 3 November, 2018. Registry name is "Study for the correlation between hydration state and pregnancy complications, maternal and infant outcomes during pregnancy".
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Affiliation(s)
- Na Zhang
- Department of Nutrition and Food Hygiene, School of Public Health, Peking University, 38 Xue Yuan Road, Hai Dian District, Beijing, 100191 China
- Laboratory of Toxicological Research and Risk Assessment for Food Safety, Peking University, 38 Xue Yuan Road, Hai Dian District, Beijing, 100191 China
| | - Fan Zhang
- Department of Nutrition and Food Hygiene, School of Public Health, Hainan Medical University, 3 Xue Yuan Road, Longhua District, Haikou, 100191 China
| | - Su Chen
- Department of Obstetrics, The First Affiliated Hospital of Hainan Medical University, 31 Long Hua Road, Haikou, 100191 China
| | - Feng Han
- Department of Laboratory, The First Affiliated Hospital of Hainan Medical University, 31 Long Hua Road, Haikou, 100191 China
| | - Guotian Lin
- Department of Nutrition and Food Hygiene, School of Public Health, Hainan Medical University, 3 Xue Yuan Road, Longhua District, Haikou, 100191 China
| | - Yufei Zhai
- Department of Nutrition and Food Hygiene, School of Public Health, Hainan Medical University, 3 Xue Yuan Road, Longhua District, Haikou, 100191 China
| | - Hairong He
- Department of Nutrition and Food Hygiene, School of Public Health, Peking University, 38 Xue Yuan Road, Hai Dian District, Beijing, 100191 China
- Laboratory of Toxicological Research and Risk Assessment for Food Safety, Peking University, 38 Xue Yuan Road, Hai Dian District, Beijing, 100191 China
| | - Jianfen Zhang
- Department of Nutrition and Food Hygiene, School of Public Health, Peking University, 38 Xue Yuan Road, Hai Dian District, Beijing, 100191 China
- Laboratory of Toxicological Research and Risk Assessment for Food Safety, Peking University, 38 Xue Yuan Road, Hai Dian District, Beijing, 100191 China
| | - Guansheng Ma
- Department of Nutrition and Food Hygiene, School of Public Health, Peking University, 38 Xue Yuan Road, Hai Dian District, Beijing, 100191 China
- Laboratory of Toxicological Research and Risk Assessment for Food Safety, Peking University, 38 Xue Yuan Road, Hai Dian District, Beijing, 100191 China
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