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Lee SH, Kim E, Kim J, Kim D, Lee D, Lee HJ, Kim YH. Effect of Programed Walking Exercise Using Bot Fit in Younger Adults. SPORTS MEDICINE - OPEN 2024; 10:112. [PMID: 39400778 PMCID: PMC11473468 DOI: 10.1186/s40798-024-00773-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/28/2024] [Accepted: 09/11/2024] [Indexed: 10/15/2024]
Abstract
INTRODUCTION Physical inactivity and sedentary behavior both increase the risk of chronic disease and mortality. Regular participation in physical activity and reducing sedentary behavior play important roles in maintaining physical health and disease prevention. OBJECTIVE The purpose of this study was to investigate the effect of programed walking exercise using a wearable hip exoskeleton, Bot Fit on muscle strength, muscle effort, and the kinematics of the pelvis in younger adults. METHODS We designed three parallel experimental conditions and randomly assigned participants to one of three groups: those assigned to exercise using an interval program of Bot Fit (interval group), those who used a power program of Bot Fit (power group), and a control group who exercised without Bot Fit. A total of 45 young adults participated in 18 exercise-intervention sessions over six weeks, and all participants were assessed at two time points: before and after the 18 exercise sessions. Each assessment evaluated muscle strength, muscle effort, and the kinematics of the pelvis during walking. In addition, the number of steps, distance, energy expenditure, and heart rate for 30 min during the exercise sessions were recorded. RESULTS A significant increase in the maximum voluntary contraction (MVC) of the left biceps femoris (BF) was evident in the interval group, while significant changes in the MVC of the bilateral BF were seen in the power group after Bot Fit exercise. A significant decrease of muscle effort in the right BF in the interval group and right lumbar erector spinae and bilateral BF in the power group were also observed. In addition, the symmetry index of pelvic tilt significantly improved in the interval group, and greater exercise volume and intensity in both the interval and power groups compared with the control group were confirmed as measured by the number of steps, distance, energy expenditure, and heart rate. CONCLUSIONS The results of this study confirmed the beneficial effect of programed walking exercise using the Bot Fit on muscle strength of trunk and lower extremities, muscle effort, and pelvic movement symmetry in younger adults. Personalized exercise programs can be provided for younger adults using various resistance or assistance modes of robotic device with the Bot Fit. TRIAL REGISTRATION ClinicalTrials.gov, NCT05862077. Registered 22 March 2022, https://register. CLINICALTRIALS gov/ .
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Affiliation(s)
- Su-Hyun Lee
- Department of Physical and Rehabilitation Medicine, Sungkyunkwan University School of Medicine, Suwon, 16419, Republic of Korea
| | - Eunmi Kim
- Department of Physical and Rehabilitation Medicine, Sungkyunkwan University School of Medicine, Suwon, 16419, Republic of Korea
| | - Jinuk Kim
- Center for Neuroscience Imaging Research, Institute for Basic Science, Suwon, 16419, Republic of Korea
| | - Dongwoo Kim
- Bot Fit T/F, New Biz T/F, Samsung Electronics, Suwon, 16677, Republic of Korea
| | - Dokwan Lee
- Bot Fit T/F, New Biz T/F, Samsung Electronics, Suwon, 16677, Republic of Korea
| | - Hwang-Jae Lee
- Bot Fit T/F, New Biz T/F, Samsung Electronics, Suwon, 16677, Republic of Korea.
| | - Yun-Hee Kim
- Department of Physical and Rehabilitation Medicine, Sungkyunkwan University School of Medicine, Suwon, 16419, Republic of Korea.
- Myongii Choonhey Rehabilitation Hospital, Seoul, 07378, Republic of Korea.
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Le Steunf A, Page E, Guillodo Y, Saraux A. Does reducing smartphone use impact physical activity? PLoS One 2024; 19:e0311248. [PMID: 39392825 PMCID: PMC11469508 DOI: 10.1371/journal.pone.0311248] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/02/2024] [Accepted: 09/16/2024] [Indexed: 10/13/2024] Open
Abstract
INTRODUCTION A sedentary lifestyle and low levels of physical activity among the population are major public health challenges due to numerous associated health risks. These behaviors are influenced by a number of environmental and cultural factors, such as screen addiction. OBJECTIVE To study the impact of reducing smartphone use by one hour per day for one week on physical activity. METHOD We conducted a descriptive epidemiological study that included 490 individuals. Participants were recruited by means of a media campaign called "Let's put down our smartphones challenge", which was conducted in Brest, France. The questionnaires were widely publicized, and candidates from all over France were able to participate. Data reflecting physical activity were collected before and after the challenge, one week apart, through an online questionnaire. RESULTS Among the 490 participants, 126 (25.7%) succeeded in the challenge and reduced the time spent on their smartphones by more than 60 minutes. Among those 126 participants, 112 individuals (89%) increased their physical activity. On average, participants who succeeded in the challenge reduced their smartphone use by 110.57 minutes (±53.66) (p< 0.001) and increased their number of steps by 841 (±14710) (p = 0.02). The proportion of patient reaching an increase of both 500 and 100 daily steps was statistically significant in the group reaching a reduction of smartphone use of 60 minutes versus the remainder (p = 0.016 and 0.018, respectively), but not for a cut off at 1000. CONCLUSION A reduction in the time spent using smartphones results in an increase in the average number of daily steps. Limiting the leisure time spent on screens is a potential strategy for addressing physical inactivity and a sedentary lifestyle.
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Affiliation(s)
- Annaëlle Le Steunf
- Service de rhumatologie, CHU Brest, INSERM 1227, Université de Bretagne Occidentale, LabEx IGO, Brest, France
| | - Ewen Page
- Service de rhumatologie, CHU Brest, INSERM 1227, Université de Bretagne Occidentale, LabEx IGO, Brest, France
| | - Yannick Guillodo
- Service de rhumatologie, CHU Brest, INSERM 1227, Université de Bretagne Occidentale, LabEx IGO, Brest, France
| | - Alain Saraux
- Service de rhumatologie, CHU Brest, INSERM 1227, Université de Bretagne Occidentale, LabEx IGO, Brest, France
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Hicks J, Adams-Campbell LL, Lu J, Mills M, Dash C. Validation Study of Physical Activity and Sedentary Behavior in African-American Men and Women. J Racial Ethn Health Disparities 2024; 11:2711-2719. [PMID: 37581764 DOI: 10.1007/s40615-023-01734-y] [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: 03/17/2023] [Revised: 07/20/2023] [Accepted: 07/21/2023] [Indexed: 08/16/2023]
Abstract
BACKGROUND Self-reported data of physical activity are practical and inexpensive ways to collect data, although, subject to significant measurement errors. Most physical activity questionnaires used in the USA have been predominately validated among non-Hispanic White American populations with limited attention paid to the validity of the measures among racial/ethnic minorities. Additionally, there are limited studies that have evaluated factors related to over- and under-reporting errors linked to self-reported physical activity data, particularly among African Americans. The primary objectives of this study were to validate self-reported levels of physical activity and sedentary behavior among African-American men and women against objective measurements and to identify the factors related to under- and over-reporting. METHODS This study was a 7-day, cross-sectional study conducted on African-American men and women (n = 56) who were between 21-70 years of age. Participants were required to attend two study visits for the collection of self-reported and objective measurements of physical activity and sedentary behavior (VO2max, DEXA scan, anthropometrics, ActivPal accelerometer, resting metabolic rate (RMR) and International Physical Activity Questionnaire (IPAQ) questionnaire. RESULTS Overall, energy expenditure measured by ActivPal was 24.1 MET/hr/week whereas self-reported (IPAQ) energy expenditure was 52.66 MET/hr/week. Self-reported sedentary time was 40.37 h/week, whereas sedentary time measured by ActivPal was 63.03 h/week. Obese participants tended to over-report their physical activity levels more so than non-obese participants (Obese, Activpal-23.89 MET/hr/week vs IPAQ-58.98 MET/hr/week; Non-obese, Activpal - 24.48 MET/hr/week vs IPAQ - 42.55 MET/hr/week). Both obese and non-obese participants underestimated their sedentary time (Obese, Activpal - 66.89 h/week vs IPAQ-43.92 h/week; Non-obese, Activpal -56.07 h/week vs IPAQ - 33.98 h/week). CONCLUSIONS The results of this study found that the ActivPal validated physical activity and sedentary behavior among African-Americans. Self-reported data were found to be highly variable, whereas the objective assessments of physical activity and sedentary behavior had limited variability. It was also found that obese individuals over-estimated their self-reported physical activity levels and under-estimated sedentary behavior in comparison to the ActivPal. These findings strongly support the need to measure physical activity and sedentary behaviors objectively, particularly among African-Americans.
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Affiliation(s)
- Jennifer Hicks
- Office of Minority Health and Health Disparities Research, Georgetown Lombardi Comprehensive Cancer Center, Georgetown University Medical Center, 1010 New Jersey Ave SE, Washington, D.C, 20003, USA
| | - Lucile L Adams-Campbell
- Office of Minority Health and Health Disparities Research, Georgetown Lombardi Comprehensive Cancer Center, Georgetown University Medical Center, 1010 New Jersey Ave SE, Washington, D.C, 20003, USA
| | - Jiachen Lu
- The University of Texas Health Science Center at Houston, Houston, TX, USA
| | - Mary Mills
- Office of Minority Health and Health Disparities Research, Georgetown Lombardi Comprehensive Cancer Center, Georgetown University Medical Center, 1010 New Jersey Ave SE, Washington, D.C, 20003, USA
| | - Chiranjeev Dash
- Office of Minority Health and Health Disparities Research, Georgetown Lombardi Comprehensive Cancer Center, Georgetown University Medical Center, 1010 New Jersey Ave SE, Washington, D.C, 20003, USA.
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Zhang C, Han Y, Gao X, Teng W, Shan Z. Thyroid function, physical activity and sedentary behaviour: A bidirectional two-sample Mendelian randomisation study. J Glob Health 2024; 14:04154. [PMID: 39325929 PMCID: PMC11426939 DOI: 10.7189/jogh.14.04154] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 09/28/2024] Open
Abstract
Background The interinfluence of thyroid function and daily physical activity (PA) remains unclear. We examined the causal relationship between genetically proxied thyroid-related traits; hypothyroidism, hyperthyroidism, thyroid stimulating hormone (TSH) and free thyroxine (FT4), and daily PA measures; leisure screen time (LST) and moderate-to-vigorous physical activity (MVPA), using Mendelian randomisation (MR) analysis. Methods We used genome-wide association study (GWAS) data from the ThyroidOmics Consortium and the most comprehensive meta-analysis on PA, comprising data on hypothyroidism (n = 53 423), hyperthyroidism (n = 51 823), TSH within the reference range (n = 54 288), fT4 within the reference range (n = 49 269), LST (n = 526 725), and MVPA (n = 608 595) to conduct a bidirectional two-sample MR analysis. The inverse variance weighted (IVW) method was employed as the primary result. Sensitivity analyses included MR-Egger, weighted median, and MR pleiotropy residual sum and outlier (MR-PRESSO) regression. Similar investigations were conducted in the reverse direction. Finally, we analysed a multivariable MR using body mass index (BMI)-related traits GWAS data. Results In the primary IVW analysis, an increase in genetically proxied TSH levels significantly increased LST (correlation coefficient (β) = 0.040; 95% confidence interval (CI) = 0.020-0.061, P = 9.776 × 10-5). The multivariable MR analysis indicated that the positive causal effect still existed when considering the influence of BMI (MVMR-IVW: β = 0.042; 95% CI = 0.011-0.073, P = 0.007). Conversely, there was no evidence to suggest that PA impacts thyroid function. Conclusions The results of this MR analysis suggest that thyroid function influences daily PA. The positive association between TSH and LST is not confounded or mediated by BMI.
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Affiliation(s)
- Chenyu Zhang
- Department of Endocrinology and Metabolism, Institute of Endocrinology, NHC Key Laboratory of Diagnosis and Treatment of Thyroid Diseases, The First Hospital of China Medical University, Shenyang, Liaoning, China
| | - Yutong Han
- Department of Endocrinology and Metabolism, Institute of Endocrinology, NHC Key Laboratory of Diagnosis and Treatment of Thyroid Diseases, The First Hospital of China Medical University, Shenyang, Liaoning, China
| | - Xiaotong Gao
- The First Affiliated Hospital of China Medical University, General Medicine, Shenyang, Liaoning, China
| | - Weiping Teng
- Department of Endocrinology and Metabolism, Institute of Endocrinology, NHC Key Laboratory of Diagnosis and Treatment of Thyroid Diseases, The First Hospital of China Medical University, Shenyang, Liaoning, China
| | - Zhongyan Shan
- Department of Endocrinology and Metabolism, Institute of Endocrinology, NHC Key Laboratory of Diagnosis and Treatment of Thyroid Diseases, The First Hospital of China Medical University, Shenyang, Liaoning, China
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Shruthi PP, Chandrasekaran B, Vaishali K, Shivashankar KN, Sukumar S, Ravichandran S, Kadavigere R. Effect of physical activity breaks during prolonged sitting on vascular outcomes: A scoping review. JOURNAL OF EDUCATION AND HEALTH PROMOTION 2024; 13:294. [PMID: 39416984 PMCID: PMC11482367 DOI: 10.4103/jehp.jehp_1773_23] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 10/31/2023] [Accepted: 04/16/2024] [Indexed: 10/19/2024]
Abstract
Emerging evidence claims the vascular benefits of varied frequency and duration of physical activity (PA) breaks, whereas the efficacy of varied intensity remains unexplored. We aimed to collate and summate the studies investigating the PA breaks at various intensities on vascular protection. Seven electronic databases were searched for potential studies till Jan 31, 2022. The eligible studies should have administered PA breaks of differing intensities in prolonged sitting postures and explored regional vascular changes [flow mediated dilation (FMD), shear stress, diameter, and blood flow] using ultrasound and novel outcome markers. Two independent reviewers assessed the studies for eligibility after abstract and full-text screen, and appropriate data were extracted to summarise vascular protective effects with PA breaks. Our findings reveal adverse regional vascular outcomes with prolonged sitting (FMD ≈ -1.5%, diameter ≈ -0.06 mm), whereas PA breaks of any intensity were found to improve endothelial functions (FMD ≈ +0.5%, diameter ≈ +0.1 mm, shear ≈ +13 s-1) and mitigate the adverse effects associated with prolonged sitting. Compared with high-intensity activity, low-intensity PA breaks alleviate arterial stiffness and endothelial dysfunction risks.
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Affiliation(s)
- P Poovitha Shruthi
- Division of Yoga, Center for Integrative Medicine and Research, Manipal Academy of Higher Education, Manipal, Karnataka, India
| | - Baskaran Chandrasekaran
- Department of Exercise and Sports Sciences, Manipal College of Health Professions, Manipal Academy of Higher Education, Manipal, Karnataka, India
- Center for Sports Science, Medicine and Research, Manipal College of Health Professions, Manipal Academy of Higher Education, Manipal, Karnataka, India
| | - K Vaishali
- Department of Physiotherapy, Manipal College of Health Professions, Manipal Academy of Higher Education, Manipal, Karnataka, India
| | | | - Suresh Sukumar
- Department of Medical Imaging Technology, Manipal College of Health Professions, Manipal Academy of Higher Education, Manipal, Karnataka, India
| | - Sneha Ravichandran
- Department of Medical Imaging Technology, Manipal College of Health Professions, Manipal Academy of Higher Education, Manipal, Karnataka, India
| | - Rajagopal Kadavigere
- Department of Radiodiagnosis and Imaging, Kasturba Medical College and Hospitals, Manipal Academy of Higher Education, Manipal, Karnataka, India
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Raichlen DA, Ally M, Aslan DH, Sayre MK, Bharadwaj PK, Maltagliati S, Lai MHC, Wilcox RR, Habeck CG, Klimentidis YC, Alexander GE. Associations between accelerometer-derived sedentary behavior and physical activity with white matter hyperintensities in middle-aged to older adults. ALZHEIMER'S & DEMENTIA (AMSTERDAM, NETHERLANDS) 2024; 16:e70001. [PMID: 39183745 PMCID: PMC11342350 DOI: 10.1002/dad2.70001] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 04/14/2024] [Revised: 07/30/2024] [Accepted: 08/02/2024] [Indexed: 08/27/2024]
Abstract
INTRODUCTION We examined the relationship between sedentary behavior (SB), moderate-to-vigorous physical activity (MVPA), and white matter hyperintensity (WMH) volumes, a common magnetic resonance imaging (MRI) marker associated with risk of neurodegenerative disease in middle-aged to older adults. METHODS We used data from the UK Biobank (n = 14,415; 45 to 81 years) that included accelerometer-derived measures of SB and MVPA, and WMH volumes from MRI. RESULTS Both MVPA and SB were associated with WMH volumes (βMVPA = -0.03 [-0.04, -0.01], p < 0.001; βSB = 0.02 [0.01, 0.03], p = 0.007). There was a significant interaction between SB and MVPA on WMH volumes (βSB×MVPA = -0.015 [-0.028, -0.001], p SB×MVPA = 0.03) where SB was positively associated with WMHs at low MVPA, and MVPA was negatively associated with WMHs at high SB. DISCUSSION While this study cannot establish causality, the results highlight the potential importance of considering both MVPA and SB in strategies aimed at reducing the accumulation of WMH volumes in middle-aged to older adults. Highlights SB is associated with greater WMH volumes and MVPA is associated with lower WMH volumes.Relationships between SB and WMH are strongest at low levels of MVPA.Associations between MVPA and WMH are strongest at high levels of SB.Considering both SB and MVPA may be effective strategies for reducing WMHs.
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Affiliation(s)
- David A. Raichlen
- Human and Evolutionary Biology SectionDepartment of Biological SciencesUniversity of Southern CaliforniaLos AngelesCaliforniaUSA
- Department of AnthropologyUniversity of Southern CaliforniaLos AngelesCaliforniaUSA
| | - Madeline Ally
- Department of PsychologyUniversity of ArizonaTucsonArizonaUSA
| | - Daniel H. Aslan
- Human and Evolutionary Biology SectionDepartment of Biological SciencesUniversity of Southern CaliforniaLos AngelesCaliforniaUSA
| | | | | | - Silvio Maltagliati
- Human and Evolutionary Biology SectionDepartment of Biological SciencesUniversity of Southern CaliforniaLos AngelesCaliforniaUSA
| | - Mark H. C. Lai
- Department of PsychologyUniversity of Southern CaliforniaLos AngelesCaliforniaUSA
| | - Rand R. Wilcox
- Department of PsychologyUniversity of Southern CaliforniaLos AngelesCaliforniaUSA
| | - Christian G. Habeck
- Cognitive Neuroscience DivisionDepartment of Neurology and Taub InstituteColumbia UniversityNew YorkNew YorkUSA
| | - Yann C. Klimentidis
- Department of Epidemiology and BiostatisticsMel and Enid Zuckerman College of Public HealthUniversity of ArizonaTucsonArizonaUSA
- BIO5 InstituteUniversity of ArizonaTucsonArizonaUSA
| | - Gene E. Alexander
- Department of PsychologyUniversity of ArizonaTucsonArizonaUSA
- BIO5 InstituteUniversity of ArizonaTucsonArizonaUSA
- Evelyn F. McKnight Brain InstituteUniversity of ArizonaTucsonArizonaUSA
- Department of PsychiatryUniversity of ArizonaTucsonArizonaUSA
- Neuroscience Graduate Interdisciplinary ProgramUniversity of ArizonaTucsonArizonaUSA
- Physiological Sciences Graduate Interdisciplinary ProgramUniversity of ArizonaTucsonArizonaUSA
- Arizona Alzheimer's ConsortiumPhoenixArizonaUSA
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Chandrasekaran B, Arumugam A, Pesola AJ, Davis F, Rao CR. Association of accelerometer measured sedentary behavior patterns with cognitive functions in sedentary office workers: Insights from SMART-STEP study. Work 2024:WOR240129. [PMID: 38968035 DOI: 10.3233/wor-240129] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 07/07/2024] Open
Abstract
BACKGROUND High levels of sedentary behavior in workplaces are currently recognized as an independent risk factor for cognitive dysfunction and poor mental health. However, sedentary patterns vary between workdays and non-workdays, which may influence cognitive functions. OBJECTIVE The present study aimed to quantify and compare work and nonwork device-measured sedentary time (ST) and its association with cognitive function in Indian office workers. METHODS In an ongoing randomized controlled trial (SMART-STEP), the baseline data of 136 full-time office workers, including accelerometer-measured sedentary patterns and cognitive functions, were analyzed. The ST was measured using a hip-worn accelerometer (Actigraph wGT3X-BT) for seven days, and executive functions were measured using computer-based tests. Linear regression models were employed to analyze the relationships between ST and executive function measures. RESULTS The median daily ST of Indian office workers was 11.41 hours. The ST was greater on both workdays (11.43 hrs.) and non-workdays (11.14 hrs.) though different (F = 6.76, p = 0.001, ηp2 = 0.032). Office workers accumulate more prolonged sitting bouts (+21.36 min) during work days than non-workdays. No associations between device-measured ST and executive functions were observed. CONCLUSION Indian office workers exhibited high ST patterns, especially on workdays. Although lower than workdays, Indian office workers exhibited more ST patterns during non-workdays than did their Western counterparts. Culturally adaptable workplace and leisure time physical activity interventions are needed to address the high ST of Indian office workers.
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Affiliation(s)
- Baskaran Chandrasekaran
- Department of Exercise and Sports Sciences, Manipal College of Health Professions, Manipal Academy of Higher Education, Manipal, Karnataka, India
| | - Ashokan Arumugam
- Department of Physiotherapy, College of Health Sciences, University of Sharjah, Sharjah, United Arab Emirates
- Neuromusculoskeletal Rehabilitation Research Group, RIMHS - Research Institute of Medical and Health Sciences, University of Sharjah, Sharjah, United Arab Emirates
- Sustainable Engineering Asset Management Research Group, RISE - Research Institute of Sciences and Engineering, University of Sharjah, Sharjah, United Arab Emirates
- Department of Physiotherapy, Adjunct Faculty, Manipal College of Health Professions, Manipal Academy of Higher Education, Manipal, Karnataka, India
| | - Arto J Pesola
- Active Life Lab, South-Eastern Finland University of Applied Sciences, Mikkeli, Finland
| | - Fiddy Davis
- Department of Kinesiology, Hope College, Holland
| | - Chythra R Rao
- Department of Community Medicine, Kasturba Medical College, Manipal, Manipal Academy of Higher Education, Manipal, Karnataka, India
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Biddle GJH, Thomas N, Edwardson CL, Clemes SA, Daley AJ. Feasibility and acceptability of general practitioners using sit-stand desks: a feasibility trial. BMJ Open 2024; 14:e084085. [PMID: 38910005 PMCID: PMC11328620 DOI: 10.1136/bmjopen-2024-084085] [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: 06/25/2024] Open
Abstract
OBJECTIVES The primary aim of this study was to investigate the feasibility and acceptability of general practitioners (GPs) using sit-stand desks to facilitate standing during consultations. A further aim was to examine the views of patients about GPs standing for their consultations. DESIGN A pre-post single-group experimental trial design. SETTING General practices in England, UK. PARTICIPANTS 42 GPs (working a minimum of five clinical sessions per week) and 301 patients (aged ≥18 years). INTERVENTIONS The intervention consisted of each GP having a sit-stand desk (Opløft Sit-Stand Platform) installed in their consultation room for 4 working weeks. Sit-stand desks allow users to switch, in a few seconds, between a sitting and standing position and vice versa, by adjusting the height of the desk. MAIN OUTCOME MEASURES To test feasibility and acceptability, GPs reported their views about using sit-stand desks at work at baseline and follow-up. Sitting time and physical activity were also measured via accelerometer at baseline and follow-up. Patients who attended a consultation where their GP was standing were asked to complete an exit questionnaire about the perceived impact on the consultation. RESULTS Most GPs reported using their sit-stand desk daily (n=28, 75.7%). 16 GPs (44.4%) used their sit-stand desk during face-to-face consultations every day. Most GPs and patients did not view that GPs standing during face-to-face consultations impacted the doctor-patient relationship (GPs; 73.5%, patients; 83.7%). GPs' sitting time during work was 121 min per day lower (95% CI: -165 to -77.58) at follow-up compared with baseline. CONCLUSIONS Use of sit-stand desks is acceptable within general practice and may reduce sitting time in GPs. This may benefit GPs and help reduce sitting time in patients. TRIAL REGISTRATION NUMBER ISRCTN76982860.
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Affiliation(s)
- Gregory James Hamilton Biddle
- Diabetes Research Centre, University of Leicester, Loughborough, UK
- School of Sport, Exercise and Health Sciences, Loughborough University, Loughborough, UK
- NIHR Leicester Biomedical Research Centre, University Hospitals of Leicester NHS Trust and the University of Leicester, Leicester, UK
| | | | - Charlotte L Edwardson
- Diabetes Research Centre, University of Leicester, Loughborough, UK
- NIHR Leicester Biomedical Research Centre, University Hospitals of Leicester NHS Trust and the University of Leicester, Leicester, UK
| | - Stacy A Clemes
- School of Sport, Exercise and Health Sciences, Loughborough University, Loughborough, UK
| | - Amanda J Daley
- School of Sport, Exercise and Health Sciences, Loughborough University, Loughborough, UK
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Bae MH, Zhang X, Lee JS. Exercise, grit, and life satisfaction among Korean adolescents: a latent growth modeling analysis. BMC Public Health 2024; 24:1392. [PMID: 38783255 PMCID: PMC11119792 DOI: 10.1186/s12889-024-18899-8] [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: 03/07/2024] [Accepted: 05/20/2024] [Indexed: 05/25/2024] Open
Abstract
BACKGROUND Life satisfaction among Korean students is declining substantially, and multifaceted improvement efforts are required. METHODS We analyzed longitudinal change trajectories for exercise, grit, and life satisfaction levels among Korean adolescents using latent growth modeling with longitudinal data from the Korean Children and Youth Panel Surveys of 2,142 students (male: 1,070, female: 1,072) from sixth grade (2020) through eighth grade (2022). RESULTS The model, which tracked linear changes in the students' exercise, grit, and life satisfaction, showed consistent declines over three school years for all variables. We also identified a longitudinal causal relationship among exercise, grit, and life satisfaction. A higher grit intercept was associated with higher intercept for-and a partial mediating effect between-exercise and life satisfaction. The grit slope was positively related to the life satisfaction slope, and both the intercept and exercise slope had positive effects on life satisfaction. Moreover, grit had a longitudinal mediating effect between exercise and life satisfaction. CONCLUSIONS We discuss the longitudinal change trajectories of exercise, grit, and life satisfaction, the causal and mediating effects among them, and the implications of the findings. These findings bolster our understanding of Korean adolescents' life satisfaction and have practical significance for designing programs to improve their quality of life.
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Affiliation(s)
- Myeong-Hun Bae
- Department of Elementary Education, College of First, Korea National University of Education, Cheongju-si, Republic of Korea
| | - Xiaoyu Zhang
- Department of Physical Education, Xinzhou Normal University, Xinzhou City, The People's Republic of China
| | - Je-Seong Lee
- Department of Sports Education, Gwangju National University of Education, Gwangju Metropolitan City, Republic of Korea.
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Prince SA, Dempsey PC, Reed JL, Rubin L, Saunders TJ, Ta J, Tomkinson GR, Merucci K, Lang JJ. The Effect of Sedentary Behaviour on Cardiorespiratory Fitness: A Systematic Review and Meta-Analysis. Sports Med 2024; 54:997-1013. [PMID: 38225444 PMCID: PMC11052788 DOI: 10.1007/s40279-023-01986-y] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 12/14/2023] [Indexed: 01/17/2024]
Abstract
BACKGROUND Cardiorespiratory fitness (CRF) is an important indicator of current and future health. While the impact of habitual physical activity on CRF is well established, the role of sedentary behaviour (SB) remains less understood. OBJECTIVE We aimed to determine the effect of SB on CRF. METHODS Searches were conducted in MEDLINE, Embase, PsycINFO, CINAHL and SPORTDiscus from inception to August 2022. Randomised controlled trials, quasi-experimental studies and cohort studies that assessed the relationship between SB and CRF were eligible. Narrative syntheses and meta-analyses summarised the evidence, and Grading of Recommendations, Assessment, Development and Evaluation (GRADE) certainty was based on evidence from randomised controlled trials. RESULTS This review included 18 studies that focused on youth (four randomised controlled trials, three quasi-experimental studies, 11 cohort studies) and 24 on adult populations (15 randomised controlled trials, five quasi-experimental studies, four cohort studies). In youth and adults, evidence from randomised controlled trials suggests mixed effects of SB on CRF, but with the potential for interventions to improve CRF. Quasi-experimental and cohort studies also support similar conclusions. Certainty of evidence was very low for both age groups. A meta-analysis of adult randomised controlled trials found that interventions targeting reducing SB, or increasing physical activity and reducing SB, had a significant effect on post-peak oxygen consumption (mean difference = 3.16 mL.kg-1.min-1, 95% confidence interval: 1.76, 4.57). CONCLUSIONS Evidence from randomised controlled trials indicates mixed associations between SB and CRF, with the potential for SB to influence CRF, as supported by meta-analytical findings. Further well-designed trials are warranted to confirm the relationship between SB and CRF, explore the effects of SB independent from higher intensity activity, and investigate the existence of such relationships in paediatric populations. CLINICAL TRIAL REGISTRATION PROSPERO CRD42022356218.
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Affiliation(s)
- Stephanie A Prince
- Centre for Surveillance and Applied Research, Public Health Agency of Canada, 785 Carling Avenue, Ottawa, ON, K1A 0K9, Canada.
- School of Epidemiology and Public Health, Faculty of Medicine, University of Ottawa, Ottawa, ON, Canada.
| | - Paddy C Dempsey
- Institute for Physical Activity and Nutrition (IPAN), School of Exercise and Nutrition Sciences, Deakin University, Geelong, VIC, Australia
- MRC Epidemiology Unit, Institute of Metabolic Science, University of Cambridge, Cambridge Biomedical Campus, Cambridge, UK
- Diabetes Research Centre, College of Life Sciences, University of Leicester, Leicester, UK
- Baker Heart and Diabetes Institute, Melbourne, VIC, Australia
| | - Jennifer L Reed
- School of Epidemiology and Public Health, Faculty of Medicine, University of Ottawa, Ottawa, ON, Canada
- Exercise Physiology and Cardiovascular Health Lab, University of Ottawa Heart Institute, Ottawa, ON, Canada
- School of Human Kinetics, Faculty of Health Sciences, University of Ottawa, Ottawa, ON, Canada
| | - Lukas Rubin
- Department of Physical Education and Sport, Faculty of Science, Humanities and Education, Technical University of Liberec, Liberec, Czech Republic
- Institute of Active Lifestyle, Faculty of Physical Culture, Palacký University Olomouc, Olomouc, Czech Republic
| | - Travis J Saunders
- Department Applied Human Sciences, University of Prince Edward Island, Charlottetown, PEI, Canada
| | - Josephine Ta
- Telfer School of Management, University of Ottawa, Ottawa, ON, Canada
| | - Grant R Tomkinson
- Alliance for Research in Exercise, Nutrition and Activity, Allied Health and Human Performance, University of South Australia, Adelaide, SA, Australia
| | | | - Justin J Lang
- Centre for Surveillance and Applied Research, Public Health Agency of Canada, 785 Carling Avenue, Ottawa, ON, K1A 0K9, Canada
- School of Epidemiology and Public Health, Faculty of Medicine, University of Ottawa, Ottawa, ON, Canada
- Alliance for Research in Exercise, Nutrition and Activity, Allied Health and Human Performance, University of South Australia, Adelaide, SA, Australia
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11
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Pearse S, Léger M, Albert WJ, Cardoso M. Active workstations: A literature review on workplace sitting. J Bodyw Mov Ther 2024; 38:406-416. [PMID: 38763586 DOI: 10.1016/j.jbmt.2024.01.001] [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: 08/31/2022] [Revised: 11/26/2023] [Accepted: 01/02/2024] [Indexed: 05/21/2024]
Abstract
The purpose of this paper is to further understand current literature on prolonged sitting, sitting posture and active sitting solutions. This paper is divided into three sections: The first section (Part I) is a comprehensive overview of the literature on how a static prolonged seated posture can affect: spinal health, trunk posture, contact pressure/discomfort development and vascular issues. The second section (Part II) reviews and qualitatively compares the four working postures recognized in ANSI/HFES 100-2007: reclined sitting, upright sitting, declined sitting and standing. The final section (Part III) is a summary of research on active chairs that revolves around the two types of movement patterns: 1- sustaining continual movement over a range of postures, occasionally reaching neutral lordosis, and 2- maintaining high frequency and duration of daily light contractile activity in the legs (or lower limbs).
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Affiliation(s)
| | - Michelle Léger
- Faculty of Kinesiology, University of New Brunswick, NB, Canada
| | - Wayne J Albert
- Faculty of Kinesiology, University of New Brunswick, NB, Canada
| | - Michelle Cardoso
- École de kinésiologie et de loisir, Université de Moncton, NB, Canada.
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12
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Cooper ZW, Mowbray O, Johnson L. Social determinants of health and diabetes: using a nationally representative sample to determine which social determinant of health model best predicts diabetes risk. Clin Diabetes Endocrinol 2024; 10:4. [PMID: 38402223 PMCID: PMC10894485 DOI: 10.1186/s40842-023-00162-5] [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] [Received: 07/28/2023] [Accepted: 12/12/2023] [Indexed: 02/26/2024] Open
Abstract
OBJECTIVES Social determinants of health (SDOH) research demonstrates poverty, access to healthcare, discrimination, and environmental factors influence health outcomes. Several models are commonly used to assess SDOH, yet there is limited understanding of how these models differ regarding their ability to predict the influence of social determinants on diabetes risk. This study compares the utility of four SDOH models for predicting diabetes disparities. STUDY DESIGN We utilized The National Longitudinal Study of Adolescent to Adulthood (Add Health) to compare SDOH models and their ability to predict risk of diabetes and obesity. METHODS Previous literature has identified the World Health Organization (WHO), Healthy People, County Health Rankings, and Kaiser Family Foundation as the conventional SDOH models. We used these models to operationalize SDOH using the Add Health dataset. Add Health data were used to perform logistic regressions for HbA1c and linear regressions for body mass index (BMI). RESULTS The Kaiser model accounted for the largest proportion of variance (19%) in BMI. Race/ethnicity was a consistent factor predicting BMI across models. Regarding HbA1c, the Kaiser model also accounted for the largest proportion of variance (17%). Race/ethnicity and wealth was a consistent factor predicting HbA1c across models. CONCLUSION Policy and practice interventions should consider these factors when screening for and addressing the effects of SDOH on diabetes risk. Specific SDOH models can be constructed for diabetes based on which determinants have the largest predictive value.
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Affiliation(s)
- Zach W Cooper
- University of Georgia School of Social Work, 279 Williams Street, Athens, GA, 30602, Georgia.
| | - Orion Mowbray
- University of Georgia School of Social Work, 279 Williams Street, Athens, GA, 30602, Georgia
| | - Leslie Johnson
- Department of Family and Preventative Medicine, School of Medicine, Emory University, Atlanta, Georgia
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13
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Sánchez-Sánchez JL, He L, Morales JS, de Souto Barreto P, Jiménez-Pavón D, Carbonell-Baeza A, Casas-Herrero Á, Gallardo-Gómez D, Lucia A, Del Pozo Cruz B, Valenzuela PL. Association of physical behaviours with sarcopenia in older adults: a systematic review and meta-analysis of observational studies. THE LANCET. HEALTHY LONGEVITY 2024; 5:e108-e119. [PMID: 38310891 DOI: 10.1016/s2666-7568(23)00241-6] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/29/2023] [Revised: 11/08/2023] [Accepted: 11/13/2023] [Indexed: 02/06/2024] Open
Abstract
BACKGROUND Physical behaviours (ie, physical activity and sedentary behaviour) might have a role in the development of sarcopenia, although the evidence is unclear. We aimed to explore the association of total and intensity-specific levels of physical activity and sedentary behaviour with sarcopenia and its components (ie, muscle mass, muscle strength, and physical performance) in older adults. METHODS We conducted a systematic review and meta-analysis and searched MEDLINE (via PubMed), Scopus, and Web of Science from inception to July 26, 2022, for peer-reviewed, observational studies or baseline data from randomised clinical trials conducted in older adults (ie, individual age ≥60 years or mean age ≥65 years) and published in English that reported on the association of physical activity or sedentary behaviour or both with sarcopenia (or its determinants: muscle mass or strength, and physical performance). Physical activity and sedentary behaviour were measured by any method. The main outcome was sarcopenia, which could be diagnosed by any means. Estimates were extracted and pooled using Bayesian meta-analytic models and publication bias was assessed using the Egger's test. This study is registered with PROSPERO, CRD42022315865. FINDINGS We identified 15 766 records, of which 124 studies (230 174 older adults; 121 301 [52·7%] were female and 108 873 [47·3%] were male) were included in the systematic review. 86 studies were subsequently included in the meta-analysis. Higher levels of total physical activity were inversely associated with sarcopenia both cross-sectionally (21 studies, n=59 572; odds ratio 0·49, 95% credible interval 0·37-0·62) and longitudinally (four studies, n=7545; 0·51, 0·27-0·94). A protective association was also identified for moderate-to-vigorous physical activity in cross-sectional research (five studies, n=6787; 0·85, 0·71-0·99), whereas no association was identified for the remaining physical behaviours (ie, steps, light physical activity, or sedentary behaviour). INTERPRETATION Total and moderate-to-vigorous physical activity are inversely associated with sarcopenia. These findings might support the importance of moderate-to-vigorous, rather than light, intensity physical activity-based interventions to prevent sarcopenia. FUNDING None. TRANSLATION For the Spanish translation of the abstract see Supplementary Materials section.
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Affiliation(s)
- Juan Luis Sánchez-Sánchez
- Faculty of Sports Sciences, Universidad Europea de Madrid, Madrid, Spain; Department of Physical Education, Faculty of Education Sciences, University of Cádiz, Puerto Real, Spain; Health Sciences Department, Universidad Pública de Navarra, Pamplona, Spain.
| | - Lingxiao He
- School of Public Health, Xiamen University, Xiamen, China
| | - Javier S Morales
- Department of Physical Education, Faculty of Education Sciences, University of Cádiz, Puerto Real, Spain; Biomedical Research Innovation Institute of Cádiz, University of Cádiz, Cádiz, Spain
| | - Philipe de Souto Barreto
- IHU HealthAge, Toulouse, France; Gerontopole of Toulouse, Institute of Ageing, Toulouse University Hospital (CHU Toulouse), Toulouse, France; Maintain Aging Research Team, Centre d'Epidémiologie et de Recherche en santé des POPulations (CERPOP), Inserm, Université Paul Sabatier, Toulouse, France
| | - David Jiménez-Pavón
- Department of Physical Education, Faculty of Education Sciences, University of Cádiz, Puerto Real, Spain; Biomedical Research Innovation Institute of Cádiz, University of Cádiz, Cádiz, Spain; CIBER of Frailty and Healthy Aging (CIBERFES), Instituto de Salud Carlos III, Madrid, Spain
| | - Ana Carbonell-Baeza
- Department of Physical Education, Faculty of Education Sciences, University of Cádiz, Puerto Real, Spain; Biomedical Research Innovation Institute of Cádiz, University of Cádiz, Cádiz, Spain
| | - Álvaro Casas-Herrero
- CIBER of Frailty and Healthy Aging (CIBERFES), Instituto de Salud Carlos III, Madrid, Spain; Navarrabiomed, Hospital Universitario de Navarra, Universidad Pública de Navarra, IdiSNA, Pamplona, Spain; Geriatric Department, Hospital Universitario de Navarra, Pamplona, Spain
| | - Daniel Gallardo-Gómez
- Department of Physical Education and Sports, Faculty of Education, University of Seville, Seville, Spain; Epidemiology of Physical Activity and Fitness Across Lifespan Research Group, University of Seville, Seville, Spain
| | - Alejandro Lucia
- Faculty of Sports Sciences, Universidad Europea de Madrid, Madrid, Spain; CIBER of Frailty and Healthy Aging (CIBERFES), Instituto de Salud Carlos III, Madrid, Spain
| | - Borja Del Pozo Cruz
- Department of Physical Education, Faculty of Education Sciences, University of Cádiz, Puerto Real, Spain; Biomedical Research Innovation Institute of Cádiz, University of Cádiz, Cádiz, Spain; Department of Sports Science and Clinical Biomechanics, University of Southern Denmark, Odense, Denmark
| | - Pedro L Valenzuela
- Faculty of Sports Sciences, Universidad Europea de Madrid, Madrid, Spain; Physical Activity and Health Research Group, Research Institute of Hospital 12 de Octubre, Madrid, Spain; Department of Systems Biology, University of Alcalá, Madrid, Spain
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14
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Valles-Verdugo G, Renteria I, Gómez-Figueroa J, Villarreal-Ángeles M, Ochoa-Martínez P, Hall-López J, Gallegos-Ramírez J, Chacón-Araya Y, Moncada-Jiménez J. Breasts as a perceived barrier to physical activity in Mexican women: A cross-sectional study. WOMEN'S HEALTH (LONDON, ENGLAND) 2024; 20:17455057241231477. [PMID: 38523351 PMCID: PMC10962047 DOI: 10.1177/17455057241231477] [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: 05/24/2023] [Revised: 12/21/2023] [Accepted: 01/22/2024] [Indexed: 03/26/2024]
Abstract
BACKGROUND Scarce evidence exists on barriers to physical activity in Mexican women. Despite evidence from other countries, no research has investigated the influence of the breast on PA in this population. OBJECTIVE To determine the association between the breast and physical activity in Mexican women. DESIGN Cross-sectional observational study. METHODS Volunteers were 279 Mexican women from Veracruz, Durango, and Baja California states, who completed a paper survey of their demographics, brassiere characteristics, breast pain, and frequency and amounts of weekly physical activity. RESULTS The first barrier to physical activity was time constraints, followed by breast-related issues. Breast pain was reported by 47.1% of women, and the breast as a barrier to physical activity participation was reported by 30.6%. Responses, such as "I am embarrassed by excessive breast movement" and "My breasts are too big" were the most frequently reported breast-related barriers to physical activity. Breast pain was associated with the menstrual cycle and exercise. Breast health knowledge and pain intensity were unrelated to moderate- and vigorous-intensity physical activity. The 36.4% and 6.7% of women did not meet weekly moderate- and vigorous-intensity physical activity guidelines, respectively. Weekly moderate- and vigorous-intensity physical activity was similar between women reporting breast pain and those who did not. CONCLUSIONS Because the breast was the second most significant barrier to physical activity, it is imperative to increase breast health knowledge in Mexican women to reduce impediments to physical activity.
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Affiliation(s)
| | - Ivan Renteria
- Facultad de Deportes, Universidad Autónoma de Baja California, Ensenada, México
| | | | | | | | - Javier Hall-López
- Facultad de Deportes, Universidad Autónoma de Baja California, Ensenada, México
| | | | - Yamileth Chacón-Araya
- Human Movement Sciences Research Center, University of Costa Rica, San José, Costa Rica
| | - José Moncada-Jiménez
- Human Movement Sciences Research Center, University of Costa Rica, San José, Costa Rica
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15
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Liu Z, Liao Y, Hwang CL, Rethorst CD, Zhang X. Associations of online health information seeking with health behaviors of cancer survivors. Digit Health 2024; 10:20552076241238074. [PMID: 38495862 PMCID: PMC10943714 DOI: 10.1177/20552076241238074] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/02/2023] [Accepted: 02/22/2024] [Indexed: 03/19/2024] Open
Abstract
Objective To examine the effects of online health information seeking (OHIS) behavior on five health behaviors (regular physical activity, less sedentary, calorie checking, no alcohol consumption, and no smoking) among adult cancer survivors in the United States. Methods A cross-sectional analysis was conducted with adult cancer survivors (≥18 years old) from Cycles 2, 3, and 4 of the Health Information National Trends Survey (HINTS). The respondents self-reported OHIS, and the data on the five health behaviors were pooled to perform descriptive and multivariable logistic regression analyses using Stata 17.0. Results Of the 1245 adult cancer survivors, approximately 74% reported OHIS behavior for themselves within the previous year of the survey. We found that OHIS was significantly and positively associated with the level of physical activity (odds ratio [OR] = 1.53, p = .002) and calorie checking (OR = 1.64, p = .001), but not with sedentary behavior, smoking, and alcohol consumption after adjusting for age, sex, race/ethnicity, education, income, body mass index (BMI), marital status, depression, and general health. Conclusions Findings from this study suggest that most cancer survivors used various forms of digital tools and platforms to seek health information. The study also demonstrated an independent impact of OHIS behavior on physical activity and calorie checking. Healthcare professionals may need to encourage and guide cancer survivors to seek credible eHealth information and further utilize digital health tools as a platform for care delivery, promoting health behaviors and preventing adverse health outcomes among cancer survivors.
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Affiliation(s)
- Zhaoli Liu
- College of Nursing and Health Innovation, The University of Texas at Arlington, Arlington, Texas, USA
| | - Yue Liao
- College of Nursing and Health Innovation, The University of Texas at Arlington, Arlington, Texas, USA
| | - Chueh-Lung Hwang
- College of Nursing and Health Innovation, The University of Texas at Arlington, Arlington, Texas, USA
| | - Chad D. Rethorst
- Institute for Advancing Health Through Agriculture, Texas A&M AgriLife Research, Dallas, Texas, USA
| | - Xiaoli Zhang
- Department of Biomedical Informatics, College of Medicine, The Ohio State University, Columbus, Ohio, USA
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16
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McDonough DJ, Mathew M, Pope ZC, Schreiner PJ, Jacobs DR, VanWagner LB, Carr JJ, Terry JG, Gabriel KP, Reis JP, Pereira MA. Aerobic and Muscle-Strengthening Physical Activity, Television Viewing, and Nonalcoholic Fatty Liver Disease: The CARDIA Study. J Clin Med 2023; 12:5603. [PMID: 37685671 PMCID: PMC10488389 DOI: 10.3390/jcm12175603] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/17/2023] [Revised: 08/22/2023] [Accepted: 08/24/2023] [Indexed: 09/10/2023] Open
Abstract
BACKGROUND The prevalence of non-alcoholic fatty liver disease (NAFLD) in U.S. adults is over 30%, yet the role of lifestyle factors in the etiology of NAFLD remains understudied. We examined the associations of physical activity, by intensity and type, and television viewing with prevalent NAFLD. METHODS Cross-sectional analysis of a population-based sample of 2726 Black (49%) and White (51%) adults (Mean (SD) age, 50 (3.6) years; 57.3% female) from the CARDIA study. Exposures were aerobic activity by intensity (moderate, vigorous; hours/week); activity type (aerobic, muscle-strengthening; hours/week); and television viewing (hours/week), examined concurrently in all models and assessed by validated questionnaires. Our outcome was NAFLD (liver attenuation < 51 Hounsfield Units), measured by non-contrast computed tomography, after exclusions for other causes of liver fat. Covariates were sex, age, race, study center, education, diet quality, smoking status, alcohol consumption, and body mass index or waist circumference. RESULTS 648 participants had NAFLD. In the fully adjusted modified Poisson regression model, the risk ratios per interquartile range of each exposure were moderate-intensity aerobic activity, 1.10 (95% CI, 0.97-1.26); vigorous-intensity aerobic activity, 0.72 (0.63-0.82); muscle-strengthening activity, 0.89 (0.80-1.01); and television viewing, 1.20 (1.10-1.32). Relative to less active participants with higher levels of television viewing, those who participated in ≥2 h/week of both vigorous-intensity aerobic and muscle-strengthening activity and <7 h/week of television viewing had 65% lower risk of NAFLD (risk ratio = 0.35, 95% CI = 0.23-0.51). CONCLUSION Adults who follow public health recommendations for vigorous-aerobic and muscle-strengthening activity, as well as minimize television viewing, are considerably less likely to have NAFLD than those who do not follow the recommendations and who have relatively high levels of television viewing.
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Affiliation(s)
- Daniel J. McDonough
- Division of Epidemiology & Community Health, University of Minnesota-Twin Cities, Minneapolis, MN 55455, USA; (M.M.); (P.J.S.); (D.R.J.J.); (M.A.P.)
| | - Mahesh Mathew
- Division of Epidemiology & Community Health, University of Minnesota-Twin Cities, Minneapolis, MN 55455, USA; (M.M.); (P.J.S.); (D.R.J.J.); (M.A.P.)
| | - Zachary C. Pope
- Well Living Lab, Rochester, NY 55902, USA;
- Department of Physiology and Biomedical Engineering, Mayo Clinic, Rochester, NY 14625, USA
| | - Pamela J. Schreiner
- Division of Epidemiology & Community Health, University of Minnesota-Twin Cities, Minneapolis, MN 55455, USA; (M.M.); (P.J.S.); (D.R.J.J.); (M.A.P.)
| | - David R. Jacobs
- Division of Epidemiology & Community Health, University of Minnesota-Twin Cities, Minneapolis, MN 55455, USA; (M.M.); (P.J.S.); (D.R.J.J.); (M.A.P.)
| | - Lisa B. VanWagner
- Department of Internal Medicine, University of Texas Southwestern Medical Center, Dallas, TX 75390, USA;
| | - John Jeffrey Carr
- Vanderbilt University Medical Center, Vanderbilt University, Nashville, TN 37232, USA; (J.J.C.); (J.G.T.)
| | - James G. Terry
- Vanderbilt University Medical Center, Vanderbilt University, Nashville, TN 37232, USA; (J.J.C.); (J.G.T.)
| | - Kelley Pettee Gabriel
- Department of Epidemiology, The University of Alabama at Birmingham, Birmingham, AL 35294, USA;
| | - Jared P. Reis
- National Heart Lung and Blood Institute, Bethesda, MD 20892, USA;
| | - Mark A. Pereira
- Division of Epidemiology & Community Health, University of Minnesota-Twin Cities, Minneapolis, MN 55455, USA; (M.M.); (P.J.S.); (D.R.J.J.); (M.A.P.)
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17
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Alansare AB, Gibbs BB, Holzman C, Jennings JR, Kline CE, Nagle E, Catov JM. Isotemporal Associations of Device-Measured Sedentary Time and Physical Activity with Cardiac-Autonomic Regulation in Previously Pregnant Women. Int J Behav Med 2023; 30:497-508. [PMID: 35819720 PMCID: PMC9832172 DOI: 10.1007/s12529-022-10113-6] [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] [Accepted: 06/27/2022] [Indexed: 01/13/2023]
Abstract
BACKGROUND High sedentary time (ST) and low physical activity may increase cardiovascular risk, potentially though cardiac-autonomic dysregulation. This study investigated associations of statistically exchanging device-measured ST and physical activity with measures of cardiac-autonomic regulation in previously pregnant women. METHOD This cross-sectional, secondary analysis included 286 women (age = 32.6 ± 5.7 years; 68% white) measured 7-15 years after delivery. ST and light (LPA), moderate (MPA), vigorous (VPA), and moderate-to-vigorous (MVPA) intensity physical activity were measured by ActiGraph GT3X. ST was further partitioned into long (≥ 30 min) and short (< 30 min) bouts. MVPA was also partitioned into long (≥ 10 min) and short (< 10 min) bouts. Cardiac-autonomic regulation was assessed by heart rate variability (HRV) (resting heart rate, natural log transformed standard deviation of normal R-R intervals [lnSDNN], natural log-transformed root mean square of successive differences [lnRMSSD]) from a 5-min seated ECG. Progressive isotemporal substitution models adjusted for confounders. Sensitivity analyses removed women with related underlying medical conditions and who did not meet respiration rate criteria. RESULTS Initial analyses found no significant associations with HRV when exchanging 30 min of ST and physical activity (p > 0.05). Yet, replacing long- and short-bout ST with 30 min of long-bout MVPA yielded significantly higher (healthier) lnRMSSD (B = 0.063 ± 0.030 and B = 0.056 ± 0.027, respectively; both p < 0.05). Sensitivity analyses strengthened these associations and yielded further associations of higher lnSDNN and lnRMSSD when replacing 30 min of short-bout MVPA with equivalent amounts of long-bout MVPA (B = 0.074 ± 0.037 and B = 0.091 ± 0.046, respectively). CONCLUSION Replacing ST with long-bout MVPA is a potential strategy to improve cardiac-autonomic function in previously pregnant women.
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Affiliation(s)
- Abdullah Bandar Alansare
- Department of Exercise Physiology, College of Sport Sciences and Physical Activity, King Saud University, King Khalid Rd, B69-G1 Building, Riyadh, 80200, Saudi Arabia.
| | - Bethany Barone Gibbs
- Department of Health and Human Development, School of Education, University of Pittsburgh, 140 Trees Hall, Pittsburgh, PA, 15261, USA
- Department of Epidemiology and Biostatistics, West Virginia University, Morgantown, West Virginia, USA
| | - Claudia Holzman
- Department of Epidemiology and Biostatistics, Michigan State University, East Lansing, MI, 48824, USA
| | - J Richard Jennings
- Department of Psychiatry, University of Pittsburgh, Pittsburgh, PA, 15219, USA
| | - Christopher E Kline
- Department of Health and Human Development, School of Education, University of Pittsburgh, 140 Trees Hall, Pittsburgh, PA, 15261, USA
| | - Elizabeth Nagle
- Department of Health and Human Development, School of Education, University of Pittsburgh, 140 Trees Hall, Pittsburgh, PA, 15261, USA
| | - Janet M Catov
- Department of Obstetrics, Gynecology and Reproductive Sciences, University of Pittsburgh, 300 Halket St, Pittsburgh, PA, 15213, USA
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18
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Menezes-Júnior LAAD, de Moura SS, Miranda AG, de Souza Andrade AC, Machado-Coelho GLL, Meireles AL. Sedentary behavior is associated with poor sleep quality during the COVID-19 pandemic, and physical activity mitigates its adverse effects. BMC Public Health 2023; 23:1116. [PMID: 37308867 PMCID: PMC10258778 DOI: 10.1186/s12889-023-16041-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/06/2023] [Accepted: 06/02/2023] [Indexed: 06/14/2023] Open
Abstract
BACKGROUND We aimed to evaluate the association of sedentary behavior (SB) and moderate to vigorous leisure-time physical activity (MVPA) with sleep quality during the COVID-19 pandemic. METHODS Cross-sectional, population-based study in adults, conducted from October to December 2020 in the Iron Quadrangle region, Brazil. The outcome was sleep quality, evaluated with the Pittsburgh Sleep Quality Index. SB was assessed by self-report of total sitting time, before and during the pandemic. Individuals with ≥ 9 h of total sitting time were classified as SB. In addition, the ratio of time spent in MVPA to time in SB was analyzed. A contrasted directed acyclic graph (DAG) model was constructed to adjust logistic regression models. RESULTS A total of 1629 individuals were evaluated, the prevalence of SB before the pandemic was 11.3% (95%CI: 8.6-14.8), and during the pandemic 15.2% (95%CI: 12.1-18.9). In multivariate analysis, the chance of poor sleep quality was 77% higher in subjects with SB ≥ 9 h per day (OR: 1.77; 95% CI: 1.02-2.97). Furthermore, a one-hour increase in SB during the pandemic, increased the chance of poor sleep quality by 8% (OR: 1.08; 95%CI 1.01-1.15). In the analysis of the ratio of MVPA per SB in individuals with SB ≥ 9 h, practicing 1 min of MVPA per hour of SB reduces the chance of poor sleep quality by 19% (OR: 0.84; 95%CI: 0.73-0.98). CONCLUSION SB during the pandemic was a factor associated with poor sleep quality, and the practice of MVPA can reduce the effects of SB.
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Affiliation(s)
- Luiz Antônio Alves de Menezes-Júnior
- Postgraduate Program in Health and Nutrition, School of Nutrition, Federal University of Ouro, Preto, Ouro Preto, Minas Gerais, Brazil.
- Research and Study Group on Nutrition and Public Health (GPENSC), Federal University of Ouro Preto, Ouro Preto, Brazil.
| | - Samara Silva de Moura
- Postgraduate Program in Health and Nutrition, School of Nutrition, Federal University of Ouro, Preto, Ouro Preto, Minas Gerais, Brazil
- Research and Study Group on Nutrition and Public Health (GPENSC), Federal University of Ouro Preto, Ouro Preto, Brazil
| | - Amanda Gonçalves Miranda
- Research and Study Group on Nutrition and Public Health (GPENSC), Federal University of Ouro Preto, Ouro Preto, Brazil
| | | | | | - Adriana Lúcia Meireles
- Postgraduate Program in Health and Nutrition, School of Nutrition, Federal University of Ouro, Preto, Ouro Preto, Minas Gerais, Brazil
- Research and Study Group on Nutrition and Public Health (GPENSC), Federal University of Ouro Preto, Ouro Preto, Brazil
- Department of Clinical and Social Nutrition, School of Nutrition, Federal University of Ouro, Preto, Ouro Preto, Minas Gerais, Brazil
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19
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Gonzalez-Torres C, Yuing T, Berral-de la Rosa F, Lizana PA. Physical Inactivity, Sedentary Behavior and Quality of Life in the Chilean Population: ENCAVI Results, 2015-2016. Healthcare (Basel) 2023; 11:1020. [PMID: 37046947 PMCID: PMC10094423 DOI: 10.3390/healthcare11071020] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/31/2023] [Revised: 03/09/2023] [Accepted: 03/09/2023] [Indexed: 04/05/2023] Open
Abstract
Regular physical activity (PA) is indicated to be one of the main healthy habits that allow populations to achieve a good quality of life (QoL); however, levels of physical inactivity (PI) and sedentary behavior (SB) have risen worldwide, with negative health effects. The aim of this study is to analyze PI and SB levels, as well as their association with QoL in the Chilean population. A secondary analysis was performed based on the database from the 2015-2016 National Quality of Life Survey (ENCAVI) in Chile, using the modules for sociodemographic characteristics, health, and PA. Contingency tables and logistic regressions were conducted to determine the association between PI (low-intensity PA, LIPA; low-moderate PA, LMPA), SB (P75), and QoL adjusted for sociodemographic variables. Approximately 84%, 83%, and 47% of the participants presented LIPA, LMPA, and moderate-high SB, respectively. Participants that presented high PI and SB had lower QoL scores than those who were more active (p < 0.05). We observe that, in people with PI (LIPA), there is a higher risk of a low QoL regarding mental and physical components (OR 1.941; OR 1.189, p < 0.001) among females (OR 1.473; OR 1.513, p < 0.001) and those of a low educational level (OR 2.170; OR 1.410 p < 0.001). People with PI (LMPA) increased their risk for a low QoL in regard to mental and physical components (OR 1.750; OR 1.458, p < 0.001) among females (OR 1.528; OR 1.507, p < 0.001) and those of a low educational level (OR 2.195; OR 1.402 p < 0.001). We observe that people with SB (P75) increased their risk of a low QoL concerning physical and mental components (OR 1.475; OR 1.257, p < 0.001) for those of the female gender (OR 1.615; OR 1.563, p < 0.001) and a low educational level (OR 2.248; OR 1.423 p < 0.001). High levels of PI in both intensities and SB impact QoL in the Chilean population. It is crucial to generate public policies for more PA, especially for females and those of lower educational levels.
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Affiliation(s)
- Carlos Gonzalez-Torres
- Laboratory of Epidemiology and Morphological Sciences, Instituto de Biología, Pontificia Universidad Católica de Valparaíso, Valparaíso 2373223, Chile
- Programa de Magister en Ciencias Biológicas, Instituto de Biología, Pontificia Universidad Católica de Valparaíso, Valparaíso 2373223, Chile
| | - Tuillang Yuing
- Facultad de Salud, Escuela de Kinesiología, Universidad Santo Tomás, Viña del Mar 2520000, Chile
- Programa de Doctorado en Ciencias de la Actividad Física y del Deporte, Universidad Pablo de Olavide de Sevilla, 41013 Sevilla, Spain
| | | | - Pablo A. Lizana
- Laboratory of Epidemiology and Morphological Sciences, Instituto de Biología, Pontificia Universidad Católica de Valparaíso, Valparaíso 2373223, Chile
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20
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Nguyen L, Magno MS, Utheim TP, Hammond CJ, Vehof J. The relationship between sedentary behavior and dry eye disease. Ocul Surf 2023; 28:11-17. [PMID: 36621639 DOI: 10.1016/j.jtos.2023.01.002] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/08/2022] [Revised: 12/30/2022] [Accepted: 01/04/2023] [Indexed: 01/07/2023]
Abstract
PURPOSE Sedentary behavior (SB) has been linked with low-grade systemic inflammation, which could play a role in the development of dry eye disease (DED). This cross-sectional study aims to investigate the association between SB and DED. METHODS We assessed 48,418 participants from the population-based Lifelines cohort (58% female, 18-96 years). Women's Health Study (WHS)-defined DED was the primary outcome. SB was assessed using the Marshall Sitting Questionnaire. The relationship between DED and SB was analyzed using logistic regressions, corrected for age, sex, BMI, smoking status, demographics, and 48 comorbidities. Any potential modifying effect of physical activity (PA) was also assessed, and the analyses were repeated excluding the most computer-intensive domains, investigating SB independent from screen exposure. RESULTS WHS-defined DED was present in 9.1% of participants. Greater SB was associated with an increased risk of DED (odds ratio (OR) 1.015 per hour/day, 95%CI 1.005-1.024, P = 0.004). The association between SB and DED was only significant for those with less than WHO-recommended PA (OR 1.022, 95%CI 1.002-1.042, P = 0.027), and not in participants meeting WHO's recommendation (OR 1.011, 95%CI 0.999-1.023, P = 0.076). Lastly, when excluding computer-related sitting, the relationship between SB and DED was attenuated, and no longer significant (OR 1.009, 95%CI 0.996-1.023, P = 0.19). CONCLUSIONS Greater sedentary time was tied to an increased risk of DED, especially for those with lower PA levels than WHO recommendations. However, as there was no significant association when computer-intensive sitting time was excluded, screen use could explain the observed relationship and should be noted as a possible key confounder.
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Affiliation(s)
- Long Nguyen
- Department of Plastic and Reconstructive Surgery, Oslo University Hospital, Oslo, Norway
| | - Morten Schjerven Magno
- Department of Plastic and Reconstructive Surgery, Oslo University Hospital, Oslo, Norway; Department of Ophthalmology, Sørlandet Hospital Arendal, Arendal, Norway; Department of Medical Biochemistry, Oslo University Hospital, Oslo, Norway; Department of Ophthalmology, University of Groningen, University Medical Center Groningen, Groningen, the Netherlands
| | - Tor P Utheim
- Department of Ophthalmology, Sørlandet Hospital Arendal, Arendal, Norway; Department of Medical Biochemistry, Oslo University Hospital, Oslo, Norway; Department of Ophthalmology, Oslo University Hospital, Oslo, Norway; Department of Ophthalmology, Vestfold Hospital Trust, Tønsberg, Norway
| | - Christopher J Hammond
- Department of Medical Biochemistry, Oslo University Hospital, Oslo, Norway; Department of Twin Research & Genetic Epidemiology, King's College London, St Thomas' Hospital, London, United Kingdom; Department of Ophthalmology, King's College London, St Thomas' Hospital, London, London, United Kingdom
| | - Jelle Vehof
- Dutch Dry Eye Clinic, Velp, the Netherlands; Departments of Ophthalmology and Epidemiology, University of Groningen, University Medical Center Groningen, Hanzeplein 1, Postbus 30.001, Groningen, the Netherlands; Department of Ophthalmology, Vestfold Hospital Trust, Tønsberg, Norway.
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21
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Chaput JP, Janssen I, Lang JJ, Sampasa-Kanyinga H. Economic burden of excessive sedentary behaviour in Canada. CANADIAN JOURNAL OF PUBLIC HEALTH = REVUE CANADIENNE DE SANTE PUBLIQUE 2023; 114:165-174. [PMID: 36696033 PMCID: PMC9875753 DOI: 10.17269/s41997-022-00729-2] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 08/19/2022] [Accepted: 11/21/2022] [Indexed: 01/26/2023]
Abstract
OBJECTIVE To estimate health care and health-related productivity costs associated with excessive sedentary behaviour (> 8 h/day and > 9 h/day) in Canadian adults. METHODS Three pieces of information were used to estimate costs: (1) the pooled relative risk estimates of adverse health outcomes consistently shown to be associated with excessive sedentary behaviour, gathered from meta-analyses of prospective cohort studies; (2) the prevalence of excessive sedentary behaviour in Canadian men and women, obtained using waist-worn accelerometry in a nationally representative sample of adults (Canadian Health Measures Survey 2018-2019); and (3) the direct (health care) and indirect (lost productivity due to premature mortality) costs of the adverse health outcomes, selected using the Economic Burden of Illness in Canada 2010 data. The 2010 costs were then adjusted to 2021 costs to account for inflation, population growth, and higher average earnings. A Monte Carlo simulation was conducted to account for uncertainty in the model. RESULTS The total costs of excessive sedentary behaviour in Canada were $2.2 billion (8 h/day cut-point) and $1.8 billion (9 h/day cut-point) in 2021, representing 1.6% and 1.3% of the overall burden of illness costs, respectively. The two most expensive chronic diseases attributable to excessive sedentary behaviour were cardiovascular disease and type 2 diabetes. A 10% decrease in excessive sedentary behaviour (from 87.7% to 77.7%) would save an estimated $219 million per year in costs. CONCLUSION Excessive sedentary behaviour significantly contributes to the economic burden of illness in Canada. There is a need for evidence-based and cost-effective strategies that reduce excessive sedentary behaviour in the population.
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Affiliation(s)
- Jean-Philippe Chaput
- Healthy Active Living and Obesity Research Group, CHEO Research Institute, 401 Smyth Road, Ottawa, Ontario, K1H 8L1, Canada.
- Department of Pediatrics, Faculty of Medicine, University of Ottawa, Ottawa, Ontario, Canada.
| | - Ian Janssen
- School of Kinesiology and Health Studies, Queen's University, Kingston, Ontario, Canada
- Department of Public Health Sciences, Queen's University, Kingston, Ontario, Canada
| | - Justin J Lang
- Centre for Surveillance and Applied Research, Public Health Agency of Canada, Ottawa, Ontario, Canada
- School of Epidemiology and Public Health, Faculty of Medicine, University of Ottawa, Ottawa, Ontario, Canada
| | - Hugues Sampasa-Kanyinga
- Healthy Active Living and Obesity Research Group, CHEO Research Institute, 401 Smyth Road, Ottawa, Ontario, K1H 8L1, Canada
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22
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Zhang Y, Wang Y, Zhang S, Zhang Y, Zhang Q. Complex Association Among Diet Styles, Sleep Patterns, and Obesity in Patients with Diabetes. Diabetes Metab Syndr Obes 2023; 16:749-767. [PMID: 36936444 PMCID: PMC10015945 DOI: 10.2147/dmso.s390101] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/16/2022] [Accepted: 12/24/2022] [Indexed: 03/13/2023] Open
Abstract
Background Health risk factors (HRFs), including the adjustment of disturbed sleep patterns (including disorders and duration) and improvement of dietary intake, have become relatively novel and critical strategies to prevent the development of diabesity and treat diabetic complications. Objective We aimed to explore 1) whether there was an association between diet styles (including healthy and unhealthy diets) and diabesity; 2) whether sleep patterns could moderate this relationship; and 3) whether there was a complex interaction association between sleep patterns, diet styles, and diabesity. Methods The study was based on a national survey conducted by the China National Diabetic Chronic Complications Study Group, this study extracted data from some cities in Anhui Province and obtained basic and lifestyle information using a detailed questionnaire for analysis. The primary exposure was diet styles, and the outcomes were body mass index (BMI) and waist circumference (WC), while HbA1c and FBG and sleep patterns were moderators. Data were pooled using logistic regression and moderation analysis. Results The overall response rate was 92.0%. This study ultimately included 1765 participants. The mean age was 57.10 ± 10.0 years. Sociographically, participants with lower educational levels were more likely to have lower levels of WC (χ 2 = 2.73) and BMI (χ 2 = 3.47), were female (t=6.54), were more likely to have lower educational levels (F=13.78) and were older (F=23.75), were more likely to have higher detection rates of sleep disorders and were more likely to have other HRFs (walking, SSBs, HbA1c and TG). Additionally, diet styles were also significantly associated with BMI and WC. In the moderation analysis, SES (socioeconomic status) also affected the correlation between healthy diet style, sleep disorders and WC (β=0.20), neither in BMI nor unhealthy diet style in BMI and WC; the combination effect between diet styles, sleep patterns and HbA1c was associated with WC and BMI. Conclusion Complex associations and interactions were found between diet styles, sleep patterns, HbA1c, and diabesity. Therefore, it is necessary to understand the dietary pattern and other HRFS that cause diabesity, so as to strengthen further preventive measures. These results can provide some theoretical basis for the treatment of diabesity in the public health field.
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Affiliation(s)
- Yi Zhang
- Department of Endocrinology, The First Affiliated Hospital of Anhui Medical University, Hefei, Anhui, 230032, People’s Republic of China
- Department of Maternal, Child and Adolescent Health, School of Public Health, Anhui Medical University, Hefei, Anhui, 230032, People’s Republic of China
| | - Yanlei Wang
- Department of Endocrinology, The First Affiliated Hospital of Anhui Medical University, Hefei, Anhui, 230032, People’s Republic of China
| | - Shengwu Zhang
- Department of Endocrinology, The First Affiliated Hospital of Anhui Medical University, Hefei, Anhui, 230032, People’s Republic of China
| | - Yulin Zhang
- The Second Clinical Medical College, Anhui Medical University, Hefei, Anhui, 230032, People’s Republic of China
| | - Qiu Zhang
- Department of Endocrinology, The First Affiliated Hospital of Anhui Medical University, Hefei, Anhui, 230032, People’s Republic of China
| | - On behalf of the China National Diabetic Chronic Complications Study Group
- Department of Endocrinology, The First Affiliated Hospital of Anhui Medical University, Hefei, Anhui, 230032, People’s Republic of China
- Department of Maternal, Child and Adolescent Health, School of Public Health, Anhui Medical University, Hefei, Anhui, 230032, People’s Republic of China
- The Second Clinical Medical College, Anhui Medical University, Hefei, Anhui, 230032, People’s Republic of China
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23
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Fenton SAM, O’Brien CM, Kitas GD, Duda JL, Veldhuijzen van Zanten JJCS, Metsios GS. The behavioural epidemiology of sedentary behaviour in inflammatory arthritis: where are we, and where do we need to go? Rheumatol Adv Pract 2023; 7:rkac097. [PMID: 36699551 PMCID: PMC9870708 DOI: 10.1093/rap/rkac097] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/04/2022] [Accepted: 08/22/2022] [Indexed: 01/25/2023] Open
Abstract
In the last decade, studies into sedentary behaviour in inflammatory arthritis have raised important questions regarding its role in this condition. Specifically, evidence is needed on whether sedentary behaviour might exacerbate adverse inflammatory arthritis outcomes, and whether reducing sedentary behaviour might offer an effective avenue for self-management in this population. Research exploring these important research questions is still very much in its infancy and lacks the direction and scientific rigour required to inform effective intervention design, delivery and evaluation. Behavioural epidemiology refers to research that aims explicitly to understand and influence health behaviour patterns to prevent disease and improve health. To this end, the Behavioural Epidemiology Framework specifies a focused approach to health behaviour research, which leads to the development of evidence-based interventions directed at specific populations. In this review, we introduce the Behavioural Epidemiology Framework in the context of research into sedentary behaviour in inflammatory arthritis and ask: where are we, and where do we need to go?
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Affiliation(s)
- Sally A M Fenton
- Correspondence to: Sally A. M. Fenton, School of Sport, Exercise and Rehabilitation Sciences, University of Birmingham, Edgbaston, Birmingham B15 2TT, UK. E-mail:
| | - Ciara M O’Brien
- School of Psychology, Faculty of Health and Medical Sciences, University of Surrey, Surrey, UK
| | - George D Kitas
- School of Sport, Exercise and Rehabilitation Sciences, University of Birmingham, Edgbaston, Birmingham, UK,Department of Rheumatology, Russells Hall Hospital, The Dudley Group NHS Foundation Trust, Dudley, UK
| | - Joan L Duda
- School of Sport, Exercise and Rehabilitation Sciences, University of Birmingham, Edgbaston, Birmingham, UK
| | - Jet J C S Veldhuijzen van Zanten
- School of Sport, Exercise and Rehabilitation Sciences, University of Birmingham, Edgbaston, Birmingham, UK,Department of Rheumatology, Russells Hall Hospital, The Dudley Group NHS Foundation Trust, Dudley, UK
| | - George S Metsios
- Department of Rheumatology, Russells Hall Hospital, The Dudley Group NHS Foundation Trust, Dudley, UK,Department of Nutrition and Dietetics, School of Physical Education, Sport Science and Dietetics, University of Thessaly, Volos, Greece
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24
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Raine LB, Erickson KI, Grove G, Watrous JNH, McDonald K, Kang C, Jakicic JM, Forman DE, Kramer AF, Burns JM, Vidoni ED, McAuley E, Hillman CH. Cardiorespiratory fitness levels and body mass index of pre-adolescent children and older adults during the COVID-19 pandemic. Front Public Health 2023; 10:1052389. [PMID: 36733279 PMCID: PMC9888666 DOI: 10.3389/fpubh.2022.1052389] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/23/2022] [Accepted: 12/22/2022] [Indexed: 01/24/2023] Open
Abstract
Introduction The social and behavioral effects of the COVID-19 pandemic have impacted the health and physiology of most people, including those never diagnosed with COVID-19. While the impact of the pandemic has been felt across the lifespan, its effects on cardiorespiratory fitness (commonly considered a reflection of total body health) of older adults and children may be particularly profound due to social distancing and stay-at-home advisories, as well as the closure of sport facilities and non-essential businesses. The objective of this investigation was to leverage baseline data from two ongoing clinical trials to determine if cardiorespiratory fitness and body mass index were different during COVID-19 relative to before COVID-19 in older adults and children. Methods Healthy older individuals (N = 593; 65-80 years) and 200 typically developing children (8-10 years) completed a graded maximal exercise test and had their height and weight measured. Results Results revealed that older adults and children tested during COVID-19 had significantly lower cardiorespiratory fitness levels than those tested before COVID-19 shutdowns (older adults: 30% lower; children: 53% lower; p's ≤ 0.001). In addition, older adults and children tested during COVID-19 had significantly higher BMI (older adults: 31.34 ± 0.57 kg/m2, p = 0.004; children: 19.27 ± 0.44 kg/m2, p = 0.05) than those tested before COVID-19 shutdowns (older adults: 29.51 ± 0.26 kg/m2, children: 18.13 ± 0.35 kg/m2). However, these differences in BMI did not remain significant when controlling for cardiorespiratory fitness. Discussion Results from this investigation indicate that the COVID-19 pandemic, and behavior changes taken to reduce potential exposure, may have led to lower cardiorespiratory fitness levels in older adults and children, as well as higher body mass index. These findings provide relevant public health information as lower cardiorespiratory fitness levels and higher body mass indexes recorded during the pandemic could have far-reaching and protracted health consequences. Public health guidance is needed to encourage physical activity to maintain cardiorespiratory fitness and healthy body composition. Clinical trial registration Older adults: https://clinicaltrials.gov/ct2/show/NCT02875301, identifier: NCT02875301; Children: https://clinicaltrials.gov/ct2/show/NCT03592238, identifier: NCT03592238.
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Affiliation(s)
- Lauren B. Raine
- Department of Physical Therapy, Movement, and Rehabilitation Sciences, Northeastern University, Boston, MA, United States
| | - Kirk I. Erickson
- Department of Psychology, University of Pittsburgh, Pittsburgh, PA, United States
- PROFITH “PROmoting FITness and Health Through Physical Activity” Research Group, Department of Physical and Sports Education, Faculty of Sport Sciences, Sport and Health University Research Institute (iMUDS), University of Granada, Granada, Spain
- Research Institute, AdventHealth, Orlando, FL, United States
| | - George Grove
- Department of Psychology, University of Pittsburgh, Pittsburgh, PA, United States
| | | | - Katherine McDonald
- Department of Psychology, Northeastern University, Boston, MA, United States
| | - Chaeryon Kang
- Department of Biostatistics, University of Pittsburgh, Pittsburgh, PA, United States
| | - John M. Jakicic
- Department of Internal Medicine, University of Kansas Medical Center, Kansas City, KS, United States
| | - Daniel E. Forman
- Department of Medicine and Veterans Affairs Pittsburgh Healthcare System, Geriatrics, Research, Education and Clinical Care (GRECC), University of Pittsburgh, Pittsburgh, PA, United States
| | - Arthur F. Kramer
- Department of Psychology, Northeastern University, Boston, MA, United States
- Beckman Institute, University of Illinois, Urbana, IL, United States
| | - Jeffrey M. Burns
- Alzheimer's Disease Research Center, University of Kansas Medical Center Fairway, Fairway, KS, United States
| | - Eric D. Vidoni
- Alzheimer's Disease Research Center, University of Kansas Medical Center Fairway, Fairway, KS, United States
| | - Edward McAuley
- Beckman Institute, University of Illinois, Urbana, IL, United States
- Department of Kinesiology and Community Health, University of Illinois Urbana Champaign, Champaign, IL, United States
| | - Charles H. Hillman
- Department of Physical Therapy, Movement, and Rehabilitation Sciences, Northeastern University, Boston, MA, United States
- Department of Psychology, Northeastern University, Boston, MA, United States
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25
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Zhang Y, Liu C, Xu Y, Wang Y, Zhang Y, Jiang T, Zhang Q. The relationship between sugar-sweetened beverages, sleep disorders, and diabesity. Front Endocrinol (Lausanne) 2023; 13:1041977. [PMID: 36699031 PMCID: PMC9869278 DOI: 10.3389/fendo.2022.1041977] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/12/2022] [Accepted: 12/08/2022] [Indexed: 01/12/2023] Open
Abstract
Background Diabetes and obesity in adults are global issues. Obesity and type 2 diabetes mellitus (T2DM) are increasingly categorized under the umbrella term "diabesity." Health risk factors (HRFs), which include altering sleep habits and reducing sugar-sweetened beverages (SSBs) consumption, have emerged as relatively novel and crucial strategies for preventing and treating diabetes. Objective We aimed to explore: 1) whether SSBs could affect diabesity in China's community; 2) whether HRFs could moderate this relationship; and 3) whether a three-way interaction exists between HRFs, SSBs, and diabesity. Methods On December 10, 2018, we investigated diabetes complications in four cities in Anhui Province and obtained basic and lifestyle information using a detailed questionnaire. The primary exposure was SSBs and outcomes were body mass index (BMI) and waist circumference (WC), while glycated hemoglobin (HbA1c) and sleep patterns (including duration and disorders) were considered moderators. Results Overall, 1920 participants were enrolled, and those who did not complete the questionnaire were excluded. Finally, this study included 1765 participants, with a response rate of 92.0%. The mean age was (57.10 ± 10.0) years. Patients with lower educational levels were more likely to have a lower prevalence of WC (χ 2 = 2.73) and BMI (χ 2 = 3.47), and some HRFs were positively correlated with WC and BMI. Additionally, SSBs were significantly associated with BMI (β = 1.29) and WC (β = 2.97), and there was also differences based on sex, some HRFs, such as HbA1c, FBG and TG, showed higher levels in male participants, whereas TC level was higher in female participants. In the moderation analysis, sleep patterns were also associated with total cholesterol, triglyceride, and BMI. Furthermore, there were three-way interaction effects among HbA1c, sleep patterns, and SSBs on total cholesterol, triglyceride, BMI, and WC. Moreover, sensitivity analysis demonstrated that our results were robust. Conclusion SSBs positively correlated with patterns dose-dependently. Moreover, SSBs could also be associated with sleep patterns, and blood glucose levels were correlated with diabesity. A three-way interaction effect was discovered between SSBs, sleep patterns, blood glucose levels, and patterns. Therefore, understanding the diabesity caused by SSBs and other HRFs can help prevent its occurrence.
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Affiliation(s)
- Yi Zhang
- Department of Endocrinology, The First Affiliated Hospital of Anhui Medical University, Hefei, Anhui, China
- Department of Maternal, Child and Adolescent Health, School of Public Health, Anhui Medical University, Hefei, Anhui, China
| | - Chao Liu
- Department of Endocrinology, The First Affiliated Hospital of Anhui Medical University, Hefei, Anhui, China
| | - Yijing Xu
- Department of Endocrinology, The First Affiliated Hospital of Anhui Medical University, Hefei, Anhui, China
| | - Yanlei Wang
- Department of Endocrinology, The First Affiliated Hospital of Anhui Medical University, Hefei, Anhui, China
| | - Yulin Zhang
- The Second Clinical Medical College, Anhui Medical University, Hefei, Anhui, China
| | - Tian Jiang
- Department of Endocrinology, The First Affiliated Hospital of Anhui Medical University, Hefei, Anhui, China
| | - Qiu Zhang
- Department of Endocrinology, The First Affiliated Hospital of Anhui Medical University, Hefei, Anhui, China
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Wei W, Lin Z, Xu P, Lv X, Lin L, Li Y, Zhou Y, Lu T, Xue X. Diet Control and Swimming Exercise Ameliorate HFD-Induced Cognitive Impairment Related to the SIRT1-NF- κB/PGC-1 α Pathways in ApoE-/- Mice. Neural Plast 2023; 2023:9206875. [PMID: 36999158 PMCID: PMC10049848 DOI: 10.1155/2023/9206875] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/07/2023] [Revised: 02/04/2023] [Accepted: 03/07/2023] [Indexed: 04/01/2023] Open
Abstract
High-fat diet- (HFD-) induced neuroinflammation may ultimately lead to an increased risk of cognitive impairment. Here, we evaluate the effects of diet control and swimming or both on the prevention of cognitive impairment by enhancing SIRT1 activity. Twenty-week-old ApoE-/- mice were fed a HFD for 8 weeks and then were treated with diet control and/or swimming for 8 weeks. Cognitive function was assessed using the novel object recognition test (NORT) and Y-maze test. The expression of sirtuin-1 (SIRT1), peroxisome proliferator-activated receptor gamma coactivator 1-alpha (PGC-1α), brain-derived neurotrophic factor (BDNF), nuclear factor kappa B p65 (NF-κB p65), interleukin-1β (IL-1β), and tumour necrosis factor-α (TNF-α) in the hippocampus was measured by western blotting. The levels of fractional anisotropy (FA), N-acetylaspartate (NAA)/creatine (Cr) ratio, choline (Cho)/Cr ratio, and myo-inositol (MI)/Cr ratio in the hippocampus were evaluated by diffusion tensor imaging (DTI) and magnetic resonance spectroscopy (MRS) using 7.0-T magnetic resonance imaging (MRI). Our results showed that cognitive dysfunction and hippocampal neuroinflammation appeared to be remarkably observed in apolipoprotein E (ApoE)-/- mice fed with HFD. Diet control plus swimming significantly reversed HFD-induced cognitive decline, reduced the time spent exploring the novel object, and ameliorated spontaneous alternation in the Y-maze test. Compared with the HFD group, ApoE-/- mice fed diet control and/or subjected to swimming had an increase in FA, NAA/Cr, and Cho/Cr; a drop in MI/Cr; elevated expression levels of SIRT1, PGC-1α, and BDNF; and inhibited production of proinflammatory cytokines, including NF-κB p65, IL-1β, and TNF-α. SIRT1, an NAD+-dependent class III histone enzyme, deacetylases and regulates the activity of PGC-1α and NF-κB. These data indicated that diet control and/or swimming ameliorate cognitive deficits through the inhibitory effect of neuroinflammation via SIRT1-mediated pathways, strongly suggesting that swimming and/or diet control could be potentially effective nonpharmacological treatments for cognitive impairment.
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Affiliation(s)
- Wei Wei
- 1The Affiliated Rehabilitation Hospital, Fujian University of Traditional Chinese Medicine, Fuzhou, China
| | - Zhicheng Lin
- 1The Affiliated Rehabilitation Hospital, Fujian University of Traditional Chinese Medicine, Fuzhou, China
| | - PeiTao Xu
- 1The Affiliated Rehabilitation Hospital, Fujian University of Traditional Chinese Medicine, Fuzhou, China
| | - Xinru Lv
- 2College of Rehabilitation Medicine, Fujian University of Traditional Chinese Medicine, Fuzhou, China
| | - Libin Lin
- 2College of Rehabilitation Medicine, Fujian University of Traditional Chinese Medicine, Fuzhou, China
| | - Yongxu Li
- 2College of Rehabilitation Medicine, Fujian University of Traditional Chinese Medicine, Fuzhou, China
| | - Yangjie Zhou
- 2College of Rehabilitation Medicine, Fujian University of Traditional Chinese Medicine, Fuzhou, China
| | - Taotao Lu
- 2College of Rehabilitation Medicine, Fujian University of Traditional Chinese Medicine, Fuzhou, China
| | - Xiehua Xue
- 1The Affiliated Rehabilitation Hospital, Fujian University of Traditional Chinese Medicine, Fuzhou, China
- 3Fujian Provincial Rehabilitation Industrial Institution, Fujian Provincial Key Laboratory of Rehabilitation Technology, Fujian Key Laboratory of Cognitive Rehabilitation, Fuzhou, China
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Sinha K, Uddin Z, Kawsar H, Islam S, Deen M, Howlader M. Analyzing chronic disease biomarkers using electrochemical sensors and artificial neural networks. Trends Analyt Chem 2023. [DOI: 10.1016/j.trac.2022.116861] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/12/2022]
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28
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Paterson C, Higgins S, Sikk M, Stone K, Fryer S, Stoner L. Acute sedentary behavior and cardiovascular disease research: standardizing the methodological posture. Am J Physiol Heart Circ Physiol 2023; 324:H122-H125. [PMID: 36525481 PMCID: PMC9829480 DOI: 10.1152/ajpheart.00492.2022] [Citation(s) in RCA: 7] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/23/2022]
Abstract
Sedentary behavior has been identified as an independent predictor of future cardiovascular disease risk and all-cause mortality. To explain this association, a growing body of literature has sought to investigate the physiological underpinnings of this association with the goal of developing a biologically plausible model. In time, this biologically plausible model can be tested, and effective, translatable public health guidelines can be developed. However, to ensure that evidence across studies can be effectively synthesized, it is necessary to ensure their congruency and comparability. Although there are several key factors that should be considered and controlled across prolonged sitting studies, one pertinent issue is that of participant posture. There is currently a discourse within the literature regarding the posture that cardiovascular assessments are performed in and rest periods between posture transitions and subsequent measures. This perspectives piece makes the case for standardizing approaches across the research area and offers practical recommendations for future work.
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Affiliation(s)
- Craig Paterson
- 1Department of Exercise and Sport Science, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina
| | - Simon Higgins
- 1Department of Exercise and Sport Science, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina
| | - Merilin Sikk
- 2Department of Sport, Hartpury University, Hartpury, United Kingdom
| | - Keeron Stone
- 3Cardiff School of Sport and Health Sciences, Cardiff Metropolitan University, Cardiff, United Kingdom
| | - Simon Fryer
- 4School of Natural, Social, and Sport Sciences, University of Gloucestershire, Gloucester, United Kingdom
| | - Lee Stoner
- 1Department of Exercise and Sport Science, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina,5Department of Epidemiology, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina
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Essa-Hadad J, Rudolf MCJ, Mani N, Malatskey L. Mapping lifestyle medicine in undergraduate medical education: a lever for enhancing the curriculum. BMC MEDICAL EDUCATION 2022; 22:886. [PMID: 36539724 PMCID: PMC9769064 DOI: 10.1186/s12909-022-03929-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 08/02/2022] [Accepted: 11/28/2022] [Indexed: 06/17/2023]
Abstract
BACKGROUND In 2017, the Bipartisan Policy Center called for inclusion of lifestyle medicine (LM) in undergraduate medical education. Recognizing the requirement that lifestyle medicine should be an integral and integrated part of the curriculum, we undertook an in-depth mapping process to determine the extent of LM teaching at our Faculty, staff perceptions and the impact on medical students. METHODS The study utilized mixed methodology. In Phase 1 (Mapping) structured analysis of course syllabi were conducted followed by observation of teaching sessions throughout the pre-clinical and clinical years, recording content, the degree of coverage, and time allocated to LM Medicine. In Phase 2 (Impact and perceptions), students' attitudes and confidence in LM counselling were ascertained by questionnaire (scale 1-4) on completion of second and fourth year of studies. Interviews were conducted with course coordinators. RESULTS Phase 1: Students received 58 hours of LM teaching, 49 hours pre-clinical and 9 clinical; 42 hours were dedicated to theoretical knowledge and 16 hours to teaching practical skills related to lifestyle behavior change. Nutrition received the most attention (18 hours), alcohol, sleep, smoking and sexuality the least. On completion of the internal medicine rotation, students (n = 48) agreed that LM guidance should be part of the physician's role and that patients expected their physicians to be role models (mean ± sd; 3.4 ± 0.7). Students were fairly confident about providing general LM counselling (3.3 ± 1.1); but less so for exercise (3.0 ± 1.2), nutrition (2.7 ± 1.1), stress (2.5 ± 1.0), sleep (2.2 ± 1.2), and sexuality (2.1 ± 1.2). Staff recognized the importance of LM but reported time limitations and the need to bring in external experts to teach LM as challenges. CONCLUSIONS Real-time mapping of teaching is a valuable way to ascertain teaching in practice. Based on our mapping process, redesign of curricula is needed to integrate more competency-based, experiential teaching, particularly in the clinical years.
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Affiliation(s)
- Jumanah Essa-Hadad
- Department of Population Health, Azrieli Faculty of Medicine, Bar Ilan University, POB 1589, Henrietta Szold 8, 1311502 Safed, Israel
| | - Mary CJ Rudolf
- Department of Population Health, Azrieli Faculty of Medicine, Bar Ilan University, POB 1589, Henrietta Szold 8, 1311502 Safed, Israel
| | - Noah Mani
- Department of Population Health, Azrieli Faculty of Medicine, Bar Ilan University, POB 1589, Henrietta Szold 8, 1311502 Safed, Israel
| | - Lilach Malatskey
- Department of Population Health, Azrieli Faculty of Medicine, Bar Ilan University, POB 1589, Henrietta Szold 8, 1311502 Safed, Israel
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Ennequin G, Delrieu L, Rossary A, Jacquinot Q, Mougin F, Thivel D, Duclos M. There is a need for a complete consideration of overall movement behaviors for the prevention, treatment, and follow-up of cancer risks and patients. Front Public Health 2022; 10:1080941. [PMID: 36600945 PMCID: PMC9806166 DOI: 10.3389/fpubh.2022.1080941] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/26/2022] [Accepted: 11/21/2022] [Indexed: 12/23/2022] Open
Affiliation(s)
- Gaël Ennequin
- Université Clermont Auvergne, CRNH, AME2P, Chaire Santé en Mouvement, Clermont-Ferrand, France,*Correspondence: Gaël Ennequin
| | - Lidia Delrieu
- Residual Tumor and Response to Treatment Laboratory, RT2Lab, Translational Research Department, INSERM, U932 Immunity and Cancer, Institute Curie, Paris University, Paris, France
| | - Adrien Rossary
- Université Clermont Auvergne, INRAE, CRNH, UNH, Clermont-Ferrand, France
| | - Quentin Jacquinot
- Regional Federative Cancer Institute of Franche-Comté, Besançon, France
| | - Fabienne Mougin
- Université Bourgogne Franche-Comté, EA 3920, Besançon, France
| | - David Thivel
- Université Clermont Auvergne, CRNH, AME2P, Chaire Santé en Mouvement, Clermont-Ferrand, France
| | - Martine Duclos
- Service de Médecine du Sport et des Explorations Fonctionnelles, Centre Hospitalier Universitaire (CHU) de Clermont-Ferrand, Institut National de Recherche pour l'Agriculture, l'Alimentation et l'Environnement (INRAE), Unité de Nutrition Humaine (UNH), Centre de Recherche en Nutrition Humaine (CRNH) Auvergne, Chaire Santé en Mouvement, Université Clermont Auvergne, Clermont-Ferrand, France
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31
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Baradaran Mahdavi S, Mazaheri-Tehrani S, Riahi R, Vahdatpour B, Kelishadi R. Sedentary behavior and neck pain in children and adolescents; a systematic review and meta-analysis. Health Promot Perspect 2022; 12:240-248. [PMID: 36686056 PMCID: PMC9808908 DOI: 10.34172/hpp.2022.31] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/13/2022] [Accepted: 09/16/2022] [Indexed: 01/15/2023] Open
Abstract
Background: Sedentary behavior (SB) is considered a risk factor for musculoskeletal pain. We aimed to explore the association of sedentary behavior indicators with neck pain among children and adolescents. Methods: A comprehensive review was performed in different databases until the end of January 2022. Odds ratios (ORs) with 95% confidence intervals were used as desired effect sizes to evaluate the association between prolonged screen time or mobile phone (MP) usage and neck pain risk. Results: Among 1651 records, 15 cross-sectional studies were included in the systematic review, and 7 reports were included in the meta-analysis. Our results suggested a significant relationship between prolonged MP use and neck pain (OR=1.36, 95% CI=1.001-1.85, I2=40.8%, P value for heterogeneity test=0.119). Furthermore, a marginally insignificant association was found between prolonged screen time and neck pain (OR=1.13, 95% CI=0.98-1.30, I2=60.3%, P value=0.01); however, after sensitivity analysis and removing one study, this association became significant (OR=1.30, 95% CI=1.03-1.64). Moreover, a significant association between prolonged sitting time and neck pain was reported in two studies. Conclusion: Available good-quality evidence reveals a significant mild association between sedentary behavior and the risk of neck pain among children and adolescents. However, longitudinal studies with objective measurement tools are warranted. In particular, potential preventive educational programs are suggested for pediatrics to reduce sedentary behavior and neck pain.
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Affiliation(s)
- Sadegh Baradaran Mahdavi
- Department of Physical Medicine and Rehabilitation, School of Medicine, Isfahan University of Medical Sciences, Isfahan, Iran,Child Growth and Development Research Center, Research Institute for Primordial Prevention of Non-communicable Disease, Isfahan University of Medical Sciences, Isfahan, Iran,Student Research Committee, Isfahan University of Medical Sciences, Isfahan, Iran
| | - Sadegh Mazaheri-Tehrani
- Child Growth and Development Research Center, Research Institute for Primordial Prevention of Non-communicable Disease, Isfahan University of Medical Sciences, Isfahan, Iran,Student Research Committee, Isfahan University of Medical Sciences, Isfahan, Iran,Corresponding Author: Sadegh Mazaheri-Tehrani,
; Roya Kelishadi,
| | - Roya Riahi
- Child Growth and Development Research Center, Research Institute for Primordial Prevention of Non-communicable Disease, Isfahan University of Medical Sciences, Isfahan, Iran,Department of Epidemiology and Biostatistics, School of Public Health, Isfahan University of Medical Sciences, Isfahan, Iran
| | - Babak Vahdatpour
- Department of Physical Medicine and Rehabilitation, School of Medicine, Isfahan University of Medical Sciences, Isfahan, Iran
| | - Roya Kelishadi
- Child Growth and Development Research Center, Research Institute for Primordial Prevention of Non-communicable Disease, Isfahan University of Medical Sciences, Isfahan, Iran,Corresponding Author: Sadegh Mazaheri-Tehrani,
; Roya Kelishadi,
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Dixon-Suen SC, Lewis SJ, Martin RM, English DR, Boyle T, Giles GG, Michailidou K, Bolla MK, Wang Q, Dennis J, Lush M, Investigators A, Ahearn TU, Ambrosone CB, Andrulis IL, Anton-Culver H, Arndt V, Aronson KJ, Augustinsson A, Auvinen P, Beane Freeman LE, Becher H, Beckmann MW, Behrens S, Bermisheva M, Blomqvist C, Bogdanova NV, Bojesen SE, Bonanni B, Brenner H, Brüning T, Buys SS, Camp NJ, Campa D, Canzian F, Castelao JE, Cessna MH, Chang-Claude J, Chanock SJ, Clarke CL, Conroy DM, Couch FJ, Cox A, Cross SS, Czene K, Daly MB, Devilee P, Dörk T, Dwek M, Eccles DM, Eliassen AH, Engel C, Eriksson M, Evans DG, Fasching PA, Fletcher O, Flyger H, Fritschi L, Gabrielson M, Gago-Dominguez M, García-Closas M, García-Sáenz JA, Goldberg MS, Guénel P, Gündert M, Hahnen E, Haiman CA, Häberle L, Håkansson N, Hall P, Hamann U, Hart SN, Harvie M, Hillemanns P, Hollestelle A, Hooning MJ, Hoppe R, Hopper J, Howell A, Hunter DJ, Jakubowska A, Janni W, John EM, Jung A, Kaaks R, Keeman R, Kitahara CM, Koutros S, Kraft P, Kristensen VN, Kubelka-Sabit K, Kurian AW, Lacey JV, Lambrechts D, Le Marchand L, Lindblom A, Loibl S, Lubiński J, Mannermaa A, Manoochehri M, Margolin S, Martinez ME, Mavroudis D, Menon U, Mulligan AM, Murphy RA, Collaborators N, Nevanlinna H, Nevelsteen I, Newman WG, Offit K, Olshan AF, Olsson H, Orr N, Patel A, Peto J, Plaseska-Karanfilska D, Presneau N, Rack B, Radice P, Rees-Punia E, Rennert G, Rennert HS, Romero A, Saloustros E, Sandler DP, Schmidt MK, Schmutzler RK, Schwentner L, Scott C, Shah M, Shu XO, Simard J, Southey MC, Stone J, Surowy H, Swerdlow AJ, Tamimi RM, Tapper WJ, Taylor JA, Terry MB, Tollenaar RAEM, Troester MA, Truong T, Untch M, Vachon CM, Joseph V, Wappenschmidt B, Weinberg CR, Wolk A, Yannoukakos D, Zheng W, Ziogas A, Dunning AM, Pharoah PDP, Easton DF, Milne RL, Lynch BM. Physical activity, sedentary time and breast cancer risk: a Mendelian randomisation study. Br J Sports Med 2022; 56:1157-1170. [PMID: 36328784 PMCID: PMC9876601 DOI: 10.1136/bjsports-2021-105132] [Citation(s) in RCA: 22] [Impact Index Per Article: 11.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 06/29/2022] [Indexed: 02/02/2023]
Abstract
OBJECTIVES Physical inactivity and sedentary behaviour are associated with higher breast cancer risk in observational studies, but ascribing causality is difficult. Mendelian randomisation (MR) assesses causality by simulating randomised trial groups using genotype. We assessed whether lifelong physical activity or sedentary time, assessed using genotype, may be causally associated with breast cancer risk overall, pre/post-menopause, and by case-groups defined by tumour characteristics. METHODS We performed two-sample inverse-variance-weighted MR using individual-level Breast Cancer Association Consortium case-control data from 130 957 European-ancestry women (69 838 invasive cases), and published UK Biobank data (n=91 105-377 234). Genetic instruments were single nucleotide polymorphisms (SNPs) associated in UK Biobank with wrist-worn accelerometer-measured overall physical activity (nsnps=5) or sedentary time (nsnps=6), or accelerometer-measured (nsnps=1) or self-reported (nsnps=5) vigorous physical activity. RESULTS Greater genetically-predicted overall activity was associated with lower breast cancer overall risk (OR=0.59; 95% confidence interval (CI) 0.42 to 0.83 per-standard deviation (SD;~8 milligravities acceleration)) and for most case-groups. Genetically-predicted vigorous activity was associated with lower risk of pre/perimenopausal breast cancer (OR=0.62; 95% CI 0.45 to 0.87,≥3 vs. 0 self-reported days/week), with consistent estimates for most case-groups. Greater genetically-predicted sedentary time was associated with higher hormone-receptor-negative tumour risk (OR=1.77; 95% CI 1.07 to 2.92 per-SD (~7% time spent sedentary)), with elevated estimates for most case-groups. Results were robust to sensitivity analyses examining pleiotropy (including weighted-median-MR, MR-Egger). CONCLUSION Our study provides strong evidence that greater overall physical activity, greater vigorous activity, and lower sedentary time are likely to reduce breast cancer risk. More widespread adoption of active lifestyles may reduce the burden from the most common cancer in women.
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Affiliation(s)
- Suzanne C Dixon-Suen
- Cancer Epidemiology Division, Cancer Council Victoria, Melbourne, Victoria, Australia
| | - Sarah J Lewis
- Bristol Medical School, Department of Population Health Sciences, University of Bristol, Bristol, UK
- MRC Integrative Epidemiology Unit, University of Bristol, Bristol, UK
| | - Richard M Martin
- Bristol Medical School, Department of Population Health Sciences, University of Bristol, Bristol, UK
- MRC Integrative Epidemiology Unit, University of Bristol, Bristol, UK
- NIHR Biomedical Research Centre, University Hospitals Bristol and Weston NHS Foundation Trust and the University of Bristol, Bristol, UK
| | - Dallas R English
- Cancer Epidemiology Division, Cancer Council Victoria, Melbourne, Victoria, Australia
- Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, The University of Melbourne, Melbourne, Victoria, Australia
| | - Terry Boyle
- Allied Health and Human Performance, University of South Australia, Adelaide, South Australia, Australia
- Australian Centre for Precision Health, University of South Australia Cancer Research Institute, Adelaide, South Australia, Australia
| | - Graham G Giles
- Cancer Epidemiology Division, Cancer Council Victoria, Melbourne, Victoria, Australia
- Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, The University of Melbourne, Melbourne, Victoria, Australia
- Precision Medicine, School of Clinical Sciences at Monash Health, Monash University, Clayton, Victoria, Australia
| | - Kyriaki Michailidou
- Biostatistics Unit, The Cyprus Institute of Neurology and Genetics, Nicosia, Cyprus
- Cyprus School of Molecular Medicine, The Cyprus Institute of Neurology and Genetics, Nicosia, Cyprus
| | - Manjeet K Bolla
- Centre for Cancer Genetic Epidemiology, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK
| | - Qin Wang
- Centre for Cancer Genetic Epidemiology, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK
| | - Joe Dennis
- Centre for Cancer Genetic Epidemiology, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK
| | - Michael Lush
- Centre for Cancer Genetic Epidemiology, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK
| | - Abctb Investigators
- Australian Breast Cancer Tissue Bank, Westmead Institute for Medical Research, The University of Sydney, Sydney, New South Wales, Australia
| | - Thomas U Ahearn
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, Maryland, USA
| | | | - Irene L Andrulis
- Fred A. Litwin Center for Cancer Genetics, Lunenfeld-Tanenbaum Research Institute of Mount Sinai Hospital, Toronto, Ontario, Canada
- Department of Molecular Genetics, University of Toronto, Toronto, Ontario, Canada
| | - Hoda Anton-Culver
- Department of Medicine, Genetic Epidemiology Research Institute, University of California Irvine, Irvine, California, USA
| | - Volker Arndt
- Division of Clinical Epidemiology and Aging Research, German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Kristan J Aronson
- Department of Public Health Sciences, and Cancer Research Institute, Queen's University, Kingston, Ontario, Canada
| | - Annelie Augustinsson
- Department of Cancer Epidemiology, Clinical Sciences, Lund University, Lund, Sweden
| | - Päivi Auvinen
- Department of Oncology, Cancer Center, Kuopio University Hospital, Kuopio, Finland
- Institute of Clinical Medicine, Oncology, University of Eastern Finland, Kuopio, Finland
| | - Laura E Beane Freeman
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, Maryland, USA
| | - Heiko Becher
- Institute of Medical Biometry and Epidemiology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Matthias W Beckmann
- Department of Gynecology and Obstetrics, Comprehensive Cancer Center ER-EMN, University Hospital Erlangen, Friedrich-Alexander University Erlangen-Nuremberg, Erlangen, Germany
| | - Sabine Behrens
- Division of Cancer Epidemiology, German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Marina Bermisheva
- Institute of Biochemistry and Genetics, FSBSI Ufa Federal Research Centre of the Russian Academy of Sciences, Ufa, Russian Federation
| | - Carl Blomqvist
- Department of Oncology, Helsinki University Hospital, University of Helsinki, Helsinki, Finland
- Department of Oncology, Örebro University Hospital, Örebro, Sweden
| | - Natalia V Bogdanova
- Department of Radiation Oncology, Hannover Medical School, Hannover, Germany
- Gynaecology Research Unit, Hannover Medical School, Hannover, Germany
| | - Stig E Bojesen
- Copenhagen General Population Study, Herlev and Gentofte Hospital, Copenhagen University Hospital, Herlev, Denmark
- Department of Clinical Biochemistry, Herlev and Gentofte Hospital, Copenhagen University Hospital, Herlev, Denmark
| | - Bernardo Bonanni
- Division of Cancer Prevention and Genetics, European Institute of Oncology IRCCS, Milan, Italy
| | - Hermann Brenner
- Division of Clinical Epidemiology and Aging Research, German Cancer Research Center (DKFZ), Heidelberg, Germany
- Division of Preventive Oncology, German Cancer Research Center (DKFZ) and National Center for Tumor Diseases (NCT), Heidelberg, Germany
| | - Thomas Brüning
- Institute for Prevention and Occupational Medicine of the German Social Accident Insurance (IPA), Institute of the Ruhr University Bochum, Bochum, Germany
| | - Saundra S Buys
- Department of Internal Medicine and Huntsman Cancer Institute, The University of Utah, Salt Lake City, Utah, USA
| | - Nicola J Camp
- Department of Internal Medicine and Huntsman Cancer Institute, The University of Utah, Salt Lake City, Utah, USA
| | - Daniele Campa
- Division of Cancer Epidemiology, German Cancer Research Center (DKFZ), Heidelberg, Germany
- Department of Biology, University of Pisa, Pisa, Italy
| | - Federico Canzian
- Genomic Epidemiology Group, German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Jose E Castelao
- Oncology and Genetics Unit, Instituto de Investigación Sanitaria Galicia Sur (IISGS), Xerencia de Xestion Integrada de Vigo-SERGAS, Vigo, Spain
| | - Melissa H Cessna
- Department of Pathology, Intermountain Medical Center, Intermountain Healthcare, Salt Lake City, Utah, USA
- Intermountain Biorepository, Intermountain Healthcare, Salt Lake City, Utah, USA
| | - Jenny Chang-Claude
- Division of Cancer Epidemiology, German Cancer Research Center (DKFZ), Heidelberg, Germany
- Cancer Epidemiology Group, University Cancer Center Hamburg (UCCH), University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Stephen J Chanock
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, Maryland, USA
| | - Christine L Clarke
- Westmead Institute for Medical Research, The University of Sydney, Sydney, New South Wales, Australia
| | - Don M Conroy
- Centre for Cancer Genetic Epidemiology, Department of Oncology, University of Cambridge, Cambridge, UK
| | - Fergus J Couch
- Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, Minnesota, USA
| | - Angela Cox
- Sheffield Institute for Nucleic Acids (SInFoNiA), Department of Oncology and Metabolism, The University of Sheffield, Sheffield, UK
| | - Simon S Cross
- Academic Unit of Pathology, Department of Neuroscience, The University of Sheffield, Sheffield, UK
| | - Kamila Czene
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
| | - Mary B Daly
- Department of Clinical Genetics, Fox Chase Cancer Center, Philadelphia, Pennsylvania, USA
| | - Peter Devilee
- Department of Pathology, Leiden University Medical Center, Leiden, The Netherlands
- Department of Human Genetics, Leiden University Medical Center, Leiden, The Netherlands
| | - Thilo Dörk
- Gynaecology Research Unit, Hannover Medical School, Hannover, Germany
| | - Miriam Dwek
- School of Life Sciences, University of Westminster, London, UK
| | - Diana M Eccles
- Faculty of Medicine, University of Southampton, Southampton, UK
| | - A Heather Eliassen
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, Massachusetts, USA
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, USA
| | - Christoph Engel
- Institute for Medical Informatics, Statistics and Epidemiology, University of Leipzig, Leipzig, Germany
- LIFE - Leipzig Research Centre for Civilization Diseases, University of Leipzig, Leipzig, Germany
| | - Mikael Eriksson
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
| | - D Gareth Evans
- Division of Evolution and Genomic Sciences, School of Biological Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Manchester Academic Health Science Centre, Manchester, UK
- North West Genomics Laboratory Hub, Manchester Centre for Genomic Medicine, St Mary's Hospital, Manchester University NHS Foundation Trust, Manchester Academic Health Science Centre, Manchester, UK
| | - Peter A Fasching
- Department of Gynecology and Obstetrics, Comprehensive Cancer Center ER-EMN, University Hospital Erlangen, Friedrich-Alexander University Erlangen-Nuremberg, Erlangen, Germany
- David Geffen School of Medicine, Department of Medicine Division of Hematology and Oncology, University of California Los Angeles, Los Angeles, California, USA
| | - Olivia Fletcher
- The Breast Cancer Now Toby Robins Research Centre, The Institute of Cancer Research, London, UK
| | - Henrik Flyger
- Department of Breast Surgery, Herlev and Gentofte Hospital, Copenhagen University Hospital, Herlev, Denmark
| | - Lin Fritschi
- School of Population Health, Curtin University, Perth, Western Australia, Australia
| | - Marike Gabrielson
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
| | - Manuela Gago-Dominguez
- Genomic Medicine Group, International Cancer Genetics and Epidemiology Group, Fundación Pública Galega de Medicina Xenómica, Instituto de Investigación Sanitaria de Santiago de Compostela (IDIS), Complejo Hospitalario Universitario de Santiago, SERGAS, Santiago de Compostela, Spain
- Moores Cancer Center, University of California San Diego, La Jolla, California, USA
| | - Montserrat García-Closas
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, Maryland, USA
| | - José A García-Sáenz
- Medical Oncology Department, Hospital Clínico San Carlos, Instituto de Investigación Sanitaria San Carlos (IdISSC), Centro de Investigación Biomédica en Red de Cáncer, Madrid, Spain
| | - Mark S Goldberg
- Department of Medicine, McGill University, Montréal, Québec, Canada
- Division of Clinical Epidemiology, Royal Victoria Hospital, McGill University, Montréal, Québec, Canada
| | - Pascal Guénel
- Team 'Exposome and Heredity', Center for Research in Epidemiology and Population Health (CESP), Gustave Roussy, INSERM, University Paris-Saclay, Villejuif, France
| | - Melanie Gündert
- Molecular Epidemiology Group, C080, German Cancer Research Center (DKFZ), Heidelberg, Germany
- Molecular Biology of Breast Cancer, University Womens Clinic Heidelberg, University of Heidelberg, Heidelberg, Germany
| | - Eric Hahnen
- Center for Familial Breast and Ovarian Cancer, Faculty of Medicine and University Hospital Cologne, University of Cologne, Cologne, Germany
- Center for Integrated Oncology (CIO), Faculty of Medicine and University Hospital Cologne, University of Cologne, Cologne, Germany
| | - Christopher A Haiman
- Department of Preventive Medicine, Keck School of Medicine, University of Southern California, Los Angeles, California, USA
| | - Lothar Häberle
- Department of Gynecology and Obstetrics, Comprehensive Cancer Center ER-EMN, University Hospital Erlangen, Friedrich-Alexander University Erlangen-Nuremberg, Erlangen, Germany
| | - Niclas Håkansson
- Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden
| | - Per Hall
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
- Department of Oncology, Södersjukhuset, Stockholm, Sweden
| | - Ute Hamann
- Molecular Genetics of Breast Cancer, German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Steven N Hart
- Department of Health Sciences Research, Mayo Clinic, Rochester, Minnesota, USA
| | - Michelle Harvie
- Prevent Breast Cancer Research Unit, Manchester University Hospital Foundation NHS Trust, Manchester, UK
| | - Peter Hillemanns
- Gynaecology Research Unit, Hannover Medical School, Hannover, Germany
| | | | - Maartje J Hooning
- Department of Medical Oncology, Erasmus MC Cancer Institute, Rotterdam, The Netherlands
| | - Reiner Hoppe
- Dr Margarete Fischer Bosch Institute of Clinical Pharmacology, Stuttgart, Germany
- University of Tübingen, Tübingen, Germany
| | - John Hopper
- Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, The University of Melbourne, Melbourne, Victoria, Australia
| | - Anthony Howell
- Division of Cancer Sciences, The University of Manchester, Manchester, UK
| | - David J Hunter
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, USA
- Nuffield Department of Population Health, University of Oxford, Oxford, UK
| | - Anna Jakubowska
- Department of Genetics and Pathology, Pomeranian Medical University in Szczecin, Szczecin, Poland
- Independent Laboratory of Molecular Biology and Genetic Diagnostics, Pomeranian Medical University in Szczecin, Szczecin, Poland
| | - Wolfgang Janni
- Department of Gynaecology and Obstetrics, University Hospital Ulm, Ulm, Germany
| | - Esther M John
- Department of Epidemiology and Population Health, Stanford University School of Medicine, Stanford, California, USA
- Department of Medicine, Division of Oncology, Stanford Cancer Institute, Stanford University School of Medicine, Stanford, California, USA
| | - Audrey Jung
- Division of Cancer Epidemiology, German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Rudolf Kaaks
- Division of Cancer Epidemiology, German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Renske Keeman
- Division of Molecular Pathology, Netherlands Cancer Institute, Amsterdam, The Netherlands
| | - Cari M Kitahara
- Radiation Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, Maryland, USA
| | - Stella Koutros
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, Maryland, USA
| | - Peter Kraft
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, USA
- Program in Genetic Epidemiology and Statistical Genetics, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, USA
| | - Vessela N Kristensen
- Department of Medical Genetics, Oslo University Hospital and University of Oslo, Oslo, Norway
- Institute of Clinical Medicine, Faculty of Medicine, University of Oslo, Oslo, Norway
| | - Katerina Kubelka-Sabit
- Department of Histopathology and Cytology, Clinical Hospital Acibadem Sistina, Skopje, Macedonia (the former Yugoslav Republic of)
| | - Allison W Kurian
- Department of Epidemiology and Population Health, Stanford University School of Medicine, Stanford, California, USA
- Department of Medicine, Division of Oncology, Stanford Cancer Institute, Stanford University School of Medicine, Stanford, California, USA
| | - James V Lacey
- Department of Computational and Quantitative Medicine, City of Hope, Duarte, California, USA
- City of Hope Comprehensive Cancer Center, City of Hope, Duarte, California, USA
| | - Diether Lambrechts
- VIB Center for Cancer Biology, VIB, Gent, Oost-Vlaanderen, Belgium
- Laboratory for Translational Genetics, Department of Human Genetics, KU Leuven, Leuven, Belgium
| | - Loic Le Marchand
- Epidemiology Program, University of Hawai'i Cancer Center, Honolulu, Hawaii, USA
| | - Annika Lindblom
- Department of Molecular Medicine and Surgery, Karolinska Institutet, Stockholm, Sweden
- Department of Clinical Genetics, Karolinska University Hospital, Stockholm, Sweden
| | | | - Jan Lubiński
- Department of Genetics and Pathology, Pomeranian Medical University in Szczecin, Szczecin, Poland
| | - Arto Mannermaa
- Translational Cancer Research Area, University of Eastern Finland, Kuopio, Finland
- Institute of Clinical Medicine, Pathology and Forensic Medicine, University of Eastern Finland, Kuopio, Finland
| | - Mehdi Manoochehri
- Molecular Genetics of Breast Cancer, German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Sara Margolin
- Department of Oncology, Södersjukhuset, Stockholm, Sweden
- Department of Clinical Science and Education, Södersjukhuset, Karolinska Institutet, Stockholm, Sweden
| | - Maria Elena Martinez
- Moores Cancer Center, University of California San Diego, La Jolla, California, USA
- Herbert Wertheim School of Public Health and Human Longevity Science, University of California San Diego, La Jolla, California, USA
| | - Dimitrios Mavroudis
- Department of Medical Oncology, University Hospital of Heraklion, Heraklion, Greece
| | - Usha Menon
- MRC Clinical Trials Unit, Institute of Clinical Trials & Methodology, University College London, London, UK
| | - Anna Marie Mulligan
- Department of Laboratory Medicine and Pathobiology, University of Toronto, Toronto, Ontario, Canada
- Laboratory Medicine Program, University Health Network, Toronto, Ontario, Canada
| | - Rachel A Murphy
- Cancer Control Research, BC Cancer, Vancouver, British Columbia, Canada
- School of Population and Public Health, The University of British Columbia, Vancouver, British Columbia, Canada
| | - Nbcs Collaborators
- Department of Medical Genetics, Oslo University Hospital and University of Oslo, Oslo, Norway
- Institute of Clinical Medicine, Faculty of Medicine, University of Oslo, Oslo, Norway
| | - Heli Nevanlinna
- Department of Obstetrics and Gynecology, Helsinki University Hospital, University of Helsinki, Helsinki, Finland
| | - Ines Nevelsteen
- Leuven Multidisciplinary Breast Center, Department of Oncology, Leuven Cancer Institute, University Hospitals Leuven, Leuven, Belgium
| | - William G Newman
- Division of Evolution and Genomic Sciences, School of Biological Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Manchester Academic Health Science Centre, Manchester, UK
- North West Genomics Laboratory Hub, Manchester Centre for Genomic Medicine, St Mary's Hospital, Manchester University NHS Foundation Trust, Manchester Academic Health Science Centre, Manchester, UK
| | - Kenneth Offit
- Clinical Genetics Research Lab, Department of Cancer Biology and Genetics, Memorial Sloan Kettering Cancer Center, New York City, New York, USA
- Clinical Genetics Service, Department of Medicine, Memorial Sloan Kettering Cancer Center, New York City, New York, USA
| | - Andrew F Olshan
- Department of Epidemiology, Gillings School of Global Public Health and UNC Lineberger Comprehensive Cancer Center, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA
| | - Håkan Olsson
- Department of Cancer Epidemiology, Clinical Sciences, Lund University, Lund, Sweden
| | - Nick Orr
- Centre for Cancer Research and Cell Biology, Queen's University Belfast, Belfast, UK
| | - Alpa Patel
- Department of Population Science, American Cancer Society, Atlanta, Georgia, USA
| | - Julian Peto
- Department of Non-Communicable Disease Epidemiology, London School of Hygiene and Tropical Medicine, London, UK
| | - Dijana Plaseska-Karanfilska
- Research Centre for Genetic Engineering and Biotechnology 'Georgi D. Efremov', MASA, Skopje, Macedonia (the former Yugoslav Republic of)
| | - Nadege Presneau
- School of Life Sciences, University of Westminster, London, UK
| | - Brigitte Rack
- Department of Gynaecology and Obstetrics, University Hospital Ulm, Ulm, Germany
| | - Paolo Radice
- Unit of Molecular Bases of Genetic Risk and Genetic Testing, Department of Research, Fondazione IRCCS Istituto Nazionale dei Tumori, Milan, Italy
| | - Erika Rees-Punia
- Department of Population Science, American Cancer Society, Atlanta, Georgia, USA
| | - Gad Rennert
- Clalit National Cancer Control Center, Carmel Medical Center and Technion Faculty of Medicine, Haifa, Israel
| | - Hedy S Rennert
- Clalit National Cancer Control Center, Carmel Medical Center and Technion Faculty of Medicine, Haifa, Israel
| | - Atocha Romero
- Medical Oncology Department, Hospital Universitario Puerta de Hierro, Madrid, Spain
| | | | - Dale P Sandler
- Epidemiology Branch, National Institute of Environmental Health Sciences, NIH, Research Triangle Park, North Carolina, USA
| | - Marjanka K Schmidt
- Division of Molecular Pathology, Netherlands Cancer Institute, Amsterdam, The Netherlands
- Division of Psychosocial Research and Epidemiology, The Netherlands Cancer Institute - Antoni van Leeuwenhoek Hospital, Amsterdam, The Netherlands
| | - Rita K Schmutzler
- Center for Familial Breast and Ovarian Cancer, Faculty of Medicine and University Hospital Cologne, University of Cologne, Cologne, Germany
- Center for Integrated Oncology (CIO), Faculty of Medicine and University Hospital Cologne, University of Cologne, Cologne, Germany
| | - Lukas Schwentner
- Department of Gynaecology and Obstetrics, University Hospital Ulm, Ulm, Germany
| | - Christopher Scott
- Department of Health Sciences Research, Mayo Clinic, Rochester, Minnesota, USA
| | - Mitul Shah
- Centre for Cancer Genetic Epidemiology, Department of Oncology, University of Cambridge, Cambridge, UK
| | - Xiao-Ou Shu
- Division of Epidemiology, Department of Medicine, Vanderbilt Epidemiology Center, Vanderbilt-Ingram Cancer Center, Vanderbilt University School of Medicine, Nashville, Tennessee, USA
| | - Jacques Simard
- Genomics Center, Centre Hospitalier Universitaire de Québec - Université Laval Research Center, Québec City, Québec, Canada
| | - Melissa C Southey
- Cancer Epidemiology Division, Cancer Council Victoria, Melbourne, Victoria, Australia
- Precision Medicine, School of Clinical Sciences at Monash Health, Monash University, Clayton, Victoria, Australia
| | - Jennifer Stone
- Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, The University of Melbourne, Melbourne, Victoria, Australia
- Genetic Epidemiology Group, School of Population and Global Health, The University of Western Australia, Perth, Western Australia, Australia
| | - Harald Surowy
- Molecular Epidemiology Group, C080, German Cancer Research Center (DKFZ), Heidelberg, Germany
- Molecular Biology of Breast Cancer, University Womens Clinic Heidelberg, University of Heidelberg, Heidelberg, Germany
| | - Anthony J Swerdlow
- Division of Genetics and Epidemiology, The Institute of Cancer Research, London, UK
- Division of Breast Cancer Research, The Institute of Cancer Research, London, UK
| | - Rulla M Tamimi
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, USA
- Department of Population Health Sciences, Weill Cornell Medicine, New York City, New York, USA
| | | | - Jack A Taylor
- Epidemiology Branch, National Institute of Environmental Health Sciences, NIH, Research Triangle Park, North Carolina, USA
- Epigenetic and Stem Cell Biology Laboratory, National Institute of Environmental Health Sciences, NIH, Research Triangle Park, North Carolina, USA
| | - Mary Beth Terry
- Department of Epidemiology, Mailman School of Public Health, Columbia University, New York City, New York, USA
| | - Rob A E M Tollenaar
- Department of Surgery, Leiden University Medical Center, Leiden, The Netherlands
| | - Melissa A Troester
- Department of Epidemiology, Gillings School of Global Public Health and UNC Lineberger Comprehensive Cancer Center, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA
| | - Thérèse Truong
- Team 'Exposome and Heredity', Center for Research in Epidemiology and Population Health (CESP), Gustave Roussy, INSERM, University Paris-Saclay, Villejuif, France
| | - Michael Untch
- Department of Gynecology and Obstetrics, Helios Clinics Berlin-Buch, Berlin, Germany
| | - Celine M Vachon
- Department of Quantitative Health Sciences, Division of Epidemiology, Mayo Clinic, Rochester, Minnesota, USA
| | - Vijai Joseph
- Clinical Genetics Research Lab, Department of Cancer Biology and Genetics, Memorial Sloan Kettering Cancer Center, New York City, New York, USA
| | - Barbara Wappenschmidt
- Center for Familial Breast and Ovarian Cancer, Faculty of Medicine and University Hospital Cologne, University of Cologne, Cologne, Germany
- Center for Integrated Oncology (CIO), Faculty of Medicine and University Hospital Cologne, University of Cologne, Cologne, Germany
| | - Clarice R Weinberg
- Biostatistics and Computational Biology Branch, National Institute of Environmental Health Sciences, NIH, Research Triangle Park, North Carolina, USA
| | - Alicja Wolk
- Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden
- Department of Surgical Sciences, Uppsala University, Uppsala, Sweden
| | - Drakoulis Yannoukakos
- Molecular Diagnostics Laboratory, INRASTES, National Centre for Scientific Research-Demokritos, Athens, Greece
| | - Wei Zheng
- Division of Epidemiology, Department of Medicine, Vanderbilt Epidemiology Center, Vanderbilt-Ingram Cancer Center, Vanderbilt University School of Medicine, Nashville, Tennessee, USA
| | - Argyrios Ziogas
- Department of Medicine, Genetic Epidemiology Research Institute, University of California Irvine, Irvine, California, USA
| | - Alison M Dunning
- Centre for Cancer Genetic Epidemiology, Department of Oncology, University of Cambridge, Cambridge, UK
| | - Paul D P Pharoah
- Centre for Cancer Genetic Epidemiology, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK
- Centre for Cancer Genetic Epidemiology, Department of Oncology, University of Cambridge, Cambridge, UK
| | - Douglas F Easton
- Centre for Cancer Genetic Epidemiology, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK
- Centre for Cancer Genetic Epidemiology, Department of Oncology, University of Cambridge, Cambridge, UK
| | - Roger L Milne
- Cancer Epidemiology Division, Cancer Council Victoria, Melbourne, Victoria, Australia
- Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, The University of Melbourne, Melbourne, Victoria, Australia
- Precision Medicine, School of Clinical Sciences at Monash Health, Monash University, Clayton, Victoria, Australia
| | - Brigid M Lynch
- Cancer Epidemiology Division, Cancer Council Victoria, Melbourne, Victoria, Australia
- Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, The University of Melbourne, Melbourne, Victoria, Australia
- Physical Activity Laboratory, Baker Heart and Diabetes Institute, Melbourne, Victoria, Australia
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Vigezzi GP, Bertuccio P, Bossi CB, Amerio A, d'Oro LC, Derosa G, Iacoviello L, Stuckler D, Zucchi A, Lugo A, Gallus S, Odone A. COVID-19 pandemic impact on people with diabetes: results from a large representative sample of Italian older adults. Prim Care Diabetes 2022; 16:650-657. [PMID: 35778238 PMCID: PMC9212916 DOI: 10.1016/j.pcd.2022.06.001] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/26/2022] [Revised: 05/31/2022] [Accepted: 06/13/2022] [Indexed: 01/31/2023]
Abstract
AIMS Restrictions imposed to prevent SARS-CoV-2 transmission should be weighed against consequences on vulnerable groups' health. Lifestyles and disease management of older people with diabetes might have been differentially impacted compared to non-chronic individuals. METHODS A cross-sectional study (LOST in Lombardia) was conducted on a representative full sample of 4 400 older adults (17th-30th November 2020), collecting data on lifestyles, mental health and access to care before and during the pandemic. RESULTS We compared 947 (51.9%) people with diabetes and 879 (48.1%) healthy subjects reporting no chronic conditions. People with diabetes reported more frequently increased physical activity (odds ratio, OR 2.65, 95% confidence internals, CI 1.69-4.13), drinks/week reduction (OR 6.27, 95%CI 3.59-10.95), increased consumption of fruit (OR 2.06, 95%CI 1.62-2.63), vegetables (OR 1.41, 95%CI 1.10-1.82), fish (OR 2.51, 95%CI 1.74-3.64) and olive oil (OR 3.54, 95%CI 2.30-5.46). People with diabetes increased telephone contacts with general practitioners (OR 3.70, 95%CI 2.83-4.83), hospitalisations (OR 9.01, 95%CI 3.96-20.51), visits and surgeries cancellations (OR 3.37, 95%CI 2.58-4.42) and treatment interruptions (OR 1.95, 95%CI 1.33-2.86). CONCLUSIONS Pandemic adverse effects occurred but are heterogenous in a population with chronic diseases, who seized the opportunity to improve health behaviours, despite health system difficulties guaranteeing routine care, within and beyond COVID-19.
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Affiliation(s)
- Giacomo Pietro Vigezzi
- Department of Public Health, Experimental and Forensic Medicine, University of Pavia, Pavia, Italy; Collegio Ca' della Paglia, Fondazione Ghislieri, Pavia, Italy
| | - Paola Bertuccio
- Department of Public Health, Experimental and Forensic Medicine, University of Pavia, Pavia, Italy
| | - Camilla Bonfadini Bossi
- Department of Public Health, Experimental and Forensic Medicine, University of Pavia, Pavia, Italy
| | - Andrea Amerio
- Department of Neuroscience, Rehabilitation, Ophthalmology, Genetics, Maternal and Child Health (DINOGMI), Section of Psychiatry, University of Genoa, Genoa, Italy; IRCCS Ospedale Policlinico San Martino, Genoa, Italy
| | | | - Giuseppe Derosa
- Department of Internal Medicine and Therapeutics, University of Pavia, Pavia, Italy; Centre of Diabetes and Metabolic Diseases, University of Pavia and IRCCS Policlinico San Matteo Foundation, Pavia, Italy
| | - Licia Iacoviello
- Department of Medicine and Surgery, Research Center in Epidemiology and Preventive Medicine (EPIMED), University of Insubria, Varese, Italy; Department of Epidemiology and Prevention, IRCCS Neuromed, Pozzilli, Italy
| | - David Stuckler
- Department of Social and Political Sciences, Bocconi University, Milan, Italy
| | - Alberto Zucchi
- Epidemiology Unit, Bergamo Health Protection Agency, Bergamo, Italy
| | - Alessandra Lugo
- Department of Environmental Health Sciences, Istituto di Ricerche Farmacologiche Mario Negri IRCCS, Milan, Italy
| | - Silvano Gallus
- Department of Environmental Health Sciences, Istituto di Ricerche Farmacologiche Mario Negri IRCCS, Milan, Italy
| | - Anna Odone
- Department of Public Health, Experimental and Forensic Medicine, University of Pavia, Pavia, Italy.
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Noël Racine A, Margaritis I, Duclos M, Carré F, Vuillemin A, Gautier C. Costing the economic burden of prolonged sedentary behaviours in France. Eur J Public Health 2022; 32:i3-i7. [PMID: 36031819 PMCID: PMC9421414 DOI: 10.1093/eurpub/ckac071] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/12/2022] Open
Abstract
BACKGROUND There is strong evidence showing that sedentary behaviour time increase the risk to develop several chronic diseases and to premature death. The economic consequences of this risk have never been evaluated in France. The aim of this study was to estimate the economic burden of prolonged sedentary behaviour in France. METHODS Based on individual sedentary behaviour time, relative risk to develop cardiovascular disease, colon cancer, breast cancer and all-causes of premature mortality were identified. From relative risk and prevalence of sedentary behaviour time, a population attributable fraction approach was used to estimate the yearly number of cases for each disease. Data from the National Health Insurance were used to calculate the annual average costs per case for each disease. Disease-specific and total healthcare costs attributable to prolonged sedentary behaviour time were calculated. Indirect costs from productivity loss due to morbidity and premature mortality were estimated using a friction cost approach. RESULTS In France, 51 193 premature deaths/year appear related to a prolonged daily sedentary behaviour time. Each year prolonged sedentary behaviour cost 494 million € for the national health insurance. Yearly productivity loss due to premature mortality attributable to prolonged sedentary behaviour cost 507 million € and yearly productivity loss due to morbidity cost between 43 and 147 million €. CONCLUSION Significant saving and many deaths could be avoided by reducing prolonged sedentary behaviour prevalence in France. To address this issue, strong responses should be implemented to tackle sedentary behaviour, complementary to physical activity promotion.
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Affiliation(s)
- Antoine Noël Racine
- French Ministry of Sport, Pôle Ressources National Sport Santé Bien-Etre, CREPS AURA/Vichy, Vichy, France
| | - Irène Margaritis
- French Agency for Food, Environmental and Occupational Health & Safety (ANSES), Maisons-Alfort, France
| | - Martine Duclos
- CHU Clermont-Ferrand, Service de Médecine du Sport et des Explorations Fonctionnelles, Université Clermont Auvergne, INRAE, UNH, Clermont-Ferrand, France
| | - François Carré
- LTSI INSERM, U1099, University of Rennes 1, Rennes, France.,Department of Sport Medicine, Pontchaillou Hospital, Rennes, France
| | | | - Christèle Gautier
- French Ministry of Sport, Sport Policy Development Office, National Sport and Health Strategy, Paris, France
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Edwardson CL, Biddle SJH, Clemes SA, Davies MJ, Dunstan DW, Eborall H, Granat MH, Gray LJ, Healy GN, Jaicim NB, Lawton S, Maylor BD, Munir F, Richardson G, Yates T, Clarke-Cornwell AM. Effectiveness of an intervention for reducing sitting time and improving health in office workers: three arm cluster randomised controlled trial. BMJ 2022; 378:e069288. [PMID: 35977732 PMCID: PMC9382450 DOI: 10.1136/bmj-2021-069288] [Citation(s) in RCA: 19] [Impact Index Per Article: 9.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/27/2022]
Abstract
OBJECTIVES To evaluate the effectiveness of an intervention, with and without a height adjustable desk, on daily sitting time, and to investigate the relative effectiveness of the two interventions, and the effectiveness of both interventions on physical behaviours and physical, biochemical, psychological, and work related health and performance outcomes. DESIGN Cluster three arm randomised controlled trial with follow-up at three and 12 months. SETTING Local government councils in Leicester, Liverpool, and Greater Manchester, UK. PARTICIPANTS 78 clusters including 756 desk based employees in defined offices, departments, or teams from two councils in Leicester, three in Greater Manchester, and one in Liverpool. INTERVENTIONS Clusters were randomised to one of three conditions: the SMART Work and Life (SWAL) intervention, the SWAL intervention with a height adjustable desk (SWAL plus desk), or control (usual practice). MAIN OUTCOMES MEASURES The primary outcome measure was daily sitting time, assessed by accelerometry, at 12 month follow-up. Secondary outcomes were accelerometer assessed sitting, prolonged sitting, standing and stepping time, and physical activity calculated over any valid day, work hours, workdays, and non-workdays, self-reported lifestyle behaviours, musculoskeletal problems, cardiometabolic health markers, work related health and performance, fatigue, and psychological measures. RESULTS Mean age of participants was 44.7 years, 72.4% (n=547) were women, and 74.9% (n=566) were white. Daily sitting time at 12 months was significantly lower in the intervention groups (SWAL -22.2 min/day, 95% confidence interval -38.8 to -5.7 min/day, P=0.003; SWAL plus desk -63.7 min/day, -80.1 to -47.4 min/day, P<0.001) compared with the control group. The SWAL plus desk intervention was found to be more effective than SWAL at changing sitting time (-41.7 min/day, -56.3 to -27.0 min/day, P<0.001). Favourable differences in sitting and prolonged sitting time at three and 12 month follow-ups for both intervention groups and for standing time for the SWAL plus desk group were observed during work hours and on workdays. Both intervention groups were associated with small improvements in stress, wellbeing, and vigour, and the SWAL plus desk group was associated with improvements in pain in the lower extremity, social norms for sitting and standing at work, and support. CONCLUSIONS Both SWAL and SWAL plus desk were associated with a reduction in sitting time, although the addition of a height adjustable desk was found to be threefold more effective. TRIAL REGISTRATION ISRCTN Registry ISRCTN11618007.
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Affiliation(s)
- Charlotte L Edwardson
- Diabetes Research Centre, University of Leicester, Leicester, LE5 4PW, UK
- NIHR Leicester Biomedical Research Centre, Leicester, UK
| | - Stuart J H Biddle
- Centre for Health Research, University of Southern Queensland, Springfield Central, QLD, Australia
| | - Stacy A Clemes
- NIHR Leicester Biomedical Research Centre, Leicester, UK
- School of Sport, Exercise and Health Sciences, Loughborough University, Leicester, UK
| | - Melanie J Davies
- Diabetes Research Centre, University of Leicester, Leicester, LE5 4PW, UK
- NIHR Leicester Biomedical Research Centre, Leicester, UK
- Leicester Diabetes Centre, University Hospitals of Leicester, Leicester, UK
| | - David W Dunstan
- Baker Heart and Diabetes Institute, Melbourne, VIC, Australia
- Mary MacKillop Institute for Health Research, The Australian Catholic University, Melbourne, VIC, Australia
| | - Helen Eborall
- Department of Health Sciences, University of Leicester, Leicester, UK
- Deanery of Molecular, Genetic and Population Health Sciences, The University of Edinburgh, UK
| | - Malcolm H Granat
- School of Health and Society, University of Salford, Salford, Greater Manchester, UK
| | - Laura J Gray
- Department of Health Sciences, University of Leicester, Leicester, UK
| | - Genevieve N Healy
- School of Human Movement and Nutrition Sciences, The University of Queensland, Brisbane, QLD, Australia
| | | | - Sarah Lawton
- School of Health and Society, University of Salford, Salford, Greater Manchester, UK
| | - Benjamin D Maylor
- Diabetes Research Centre, University of Leicester, Leicester, LE5 4PW, UK
| | - Fehmidah Munir
- School of Sport, Exercise and Health Sciences, Loughborough University, Leicester, UK
| | | | - Thomas Yates
- Diabetes Research Centre, University of Leicester, Leicester, LE5 4PW, UK
- NIHR Leicester Biomedical Research Centre, Leicester, UK
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Kim SY, Yoo DM, Kwon MJ, Kim JH, Kim JH, Bang WJ, Choi HG. Physical Activity and Sedentary Time in Korean Adults before and during the COVID-19 Pandemic Using Data from the Korea National Health and Nutritional Examination Survey. J Pers Med 2022; 12:1217. [PMID: 35893311 PMCID: PMC9394236 DOI: 10.3390/jpm12081217] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/02/2022] [Revised: 07/20/2022] [Accepted: 07/23/2022] [Indexed: 11/16/2022] Open
Abstract
Several recent studies suggested reduced physical activity (PA) related to the COVID-19 pandemic without consensus. This study investigated the changes in PA and sedentary time during the COVID-19 pandemic compared to before the COVID-19 era. The Korea National Health and Nutrition Examination Survey 2019 and 2020 were used. The ≥19-year-old population was examined in 2019 and 2020 for time spent engaging in high- and moderate-intensity PA and sedentary time. Based on the recommended level of PA by the World Health Organization, ≥75 min/wk of high PA and ≥150 min/of moderate PA were classified. A sedentary time of ≥120 min/d was selected. Multiple logistic regression analysis with complex sampling was conducted for ≥75 min/wk of high PA, ≥150 min/wk of moderate PA, and ≥120 min/d of sedentary time in the 2020 group compared to the 2019 group. The ≥75 min/wk high PA was not lower in the 2020 group than in the 2019 group (adjusted odds ratio (aOR) = 0.96, 95% confidence intervals (95% CIs) = 0.79-1.18, P = 0.696). The ≥150 min/wk of moderate PA was also not lower in the 2020 group (aOR = 1.12, 95% CI = 0.94-1.32, p = 0.201). However, the ≥150 min/wk of moderate PA in the female group was higher in the 2020 group than in the 2019 group (aOR = 1.29, 95% CI = 1.01-1.65, p = 0.042). Sedentary time ≥ 120 min/d was lower in the 2020 group (aOR = 0.35, 95% CI = 0.17-0.72, p = 0.005). This association was consistent in the 19-39-year-old and female group. In conclusion, during the COVID-19 pandemic, high and moderate PA were not decreased in Korean adults, while sedentary time was reduced.
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Affiliation(s)
- So Young Kim
- Bundang CHA Medical Center, Department of Otorhinolaryngology-Head and Neck Surgery, CHA University, Seongnam 13488, Korea;
| | - Dae Myoung Yoo
- Hallym Data Science Laboratory, Hallym University College of Medicine, Anyang 14066, Korea;
| | - Mi Jung Kwon
- Department of Pathology, Hallym Sacred Heart Hospital, Hallym University College of Medicine, Anyang 14068, Korea;
| | - Ji Hee Kim
- Department of Neurosurgery, Hallym University College of Medicine, Anyang 14068, Korea;
| | - Joo-Hee Kim
- Department of Medicine, Division of Pulmonary, Allergy, and Critical Care Medicine, Hallym Sacred Heart Hospital, Hallym University College of Medicine, Anyang 14068, Korea;
| | - Woo Jin Bang
- Department of Urology, Hallym Sacred Heart Hospital, Hallym University College of Medicine, Anyang 14068, Korea
| | - Hyo Geun Choi
- Bundang CHA Medical Center, Department of Otorhinolaryngology-Head and Neck Surgery, CHA University, Seongnam 13488, Korea;
- Department of Otorhinolaryngology-Head and Neck Surgery, Hallym University College of Medicine, Anyang 14068, Korea
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Kim Y, Canada JM, Kenyon J, Billingsley H, Arena R, Lavie CJ, Carbone S. Physical activity, sedentary behaviors and all-cause mortality in patients with heart failure: Findings from the NHANES 2007–2014. PLoS One 2022; 17:e0271238. [PMID: 35839246 PMCID: PMC9286289 DOI: 10.1371/journal.pone.0271238] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/20/2021] [Accepted: 06/24/2022] [Indexed: 12/03/2022] Open
Abstract
Background Limited data are available examining the effects of both moderate- and vigorous-intensity physical activity (MVPA) and sedentary behavior (SB) on longevity among patients with heart failure (HF). This study examined the associations of MVPA and SB with all-cause mortality in HF patients using a nationally representative survey data. Methods National Health and Nutrition Examination Survey data (2007–2014) were used. 711 adults with self-reported congestive HF, linked to 2015 mortality data were analyzed. Self-reported MVPA and SB minutes were used to create the three MVPA [No-MVPA, insufficient (I-MVPA; <150 min/wk), and sufficient (S-MVPA; ≥150 min/wk)] and two SB (<8 and ≥8 hrs/d) groups. Cox proportional hazard models were constructed to test the associations of MVPA and SB with all-cause mortality. Results 119 deaths occurred over an average of 4.9 years of follow-up. Lower MVPA and higher SB were independently associated with poor survival (P < .001). Joint and stratified analyses showed that the protective effect of MVPA was most pronounced among patients with SB<8 hrs/d. There was no difference in the mortality risk by SB levels within I-MVPA and S-MVPA groups; however, in the No-MVPA group, those with SB≥8 hrs/d had a greater risk of mortality compared to those with <8 hrs/d (Hazard ratio = 1.60). Conclusion In this HF cohort, MVPA and SB were independently and jointly associated with all-cause mortality. The beneficial effect of MVPA is attenuated by excessive SB; however, engaging in some amount of MVPA may provide a protective effect and attenuates the detrimental effects associated with excessive SB.
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Affiliation(s)
- Youngdeok Kim
- Department of Kinesiology & Health Sciences, College of Humanities & Sciences, Virginia Commonwealth University, Richmond, VA, United States of America
| | - Justin M. Canada
- Division of Cardiology, Department of Internal Medicine, VCU Pauley Heart Center, Virginia Commonwealth University, Richmond, VA, United States of America
| | - Jonathan Kenyon
- Department of Kinesiology & Health Sciences, College of Humanities & Sciences, Virginia Commonwealth University, Richmond, VA, United States of America
| | - Hayley Billingsley
- Department of Kinesiology & Health Sciences, College of Humanities & Sciences, Virginia Commonwealth University, Richmond, VA, United States of America
| | - Ross Arena
- Department of Physical Therapy, College of Applied Health Sciences, University of Illinois at Chicago, Chicago, IL, United States of America
| | - Carl J. Lavie
- John Ochsner Heart and Vascular Institute, Ochsner Clinical School-the University of Queensland School of Medicine, New Orleans, LA, United States of America
| | - Salvatore Carbone
- Department of Kinesiology & Health Sciences, College of Humanities & Sciences, Virginia Commonwealth University, Richmond, VA, United States of America
- Division of Cardiology, Department of Internal Medicine, VCU Pauley Heart Center, Virginia Commonwealth University, Richmond, VA, United States of America
- * E-mail:
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Sedentary Behaviour, Physical Activity and Psychobiological Stress Reactivity: A Systematic Review. Biol Psychol 2022; 172:108374. [DOI: 10.1016/j.biopsycho.2022.108374] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/02/2022] [Revised: 05/27/2022] [Accepted: 05/31/2022] [Indexed: 11/18/2022]
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Dempsey PC, Strain T, Winkler EAH, Westgate K, Rennie KL, Wareham NJ, Brage S, Wijndaele K. Association of Accelerometer-Measured Sedentary Accumulation Patterns With Incident Cardiovascular Disease, Cancer, and All-Cause Mortality. J Am Heart Assoc 2022; 11:e023845. [PMID: 35470706 PMCID: PMC9238579 DOI: 10.1161/jaha.121.023845] [Citation(s) in RCA: 20] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/12/2021] [Accepted: 03/21/2022] [Indexed: 01/06/2023]
Abstract
Background Emerging evidence suggests accruing sedentary behavior (SB) in relatively more prolonged periods may convey additional cardiometabolic risks, but few studies have examined prospective outcomes. We examined the association of SB accumulation patterns with incident cardiovascular disease (CVD), cancer, and all-cause mortality (ACM). Methods and Results Data were from 7671 EPIC-Norfolk (European Prospective Investigation Into Cancer and Nutrition-Norfolk) cohort middle- to older-aged adults who wore accelerometers on the right hip for 4 to 7 days. Cox proportional hazards regression modeled associations between 2 measures of SB accumulation and incident CVD, cancer, and ACM. These were usual SB bout duration (the midpoint of each individual's SB accumulation curve, fitted using nonlinear regression) and alpha (hybrid measure of bout frequency and duration, with higher values indicating relatively shorter bouts and fewer long bouts). Models were adjusted for potential confounders, then further for 24-hour time-use compositions. During mean follow-up time of 6.4 years, 339 ACM, 1106 CVD, and 516 cancer events occurred. Elevated rates of incident cancer and ACM were seen with more prolonged SB accumulation (lower alpha, higher usual SB bout duration) but not CVD. For usual SB bout duration and alpha, respectively, the confounder-adjusted hazard ratios per SD of the exposure were 1.12 (95% CI, 1.02-1.23) and 0.88 (95% CI, 0.79-0.98) with incident cancer and 1.16 (95% CI, 1.07-1.26) and 0.80 (95% CI, 0.72-0.89) with ACM (all P<0.05). Further adjustment for 24-hour time use weakened associations with ACM for usual bout duration (hazard ratio, 1.06; 95% CI, 0.97-1.16; P=0.209) and partially for alpha (hazard ratio, 0.87; 95% CI, 0.77-0.99; P=0.029). Conclusions Accruing SB in longer bout durations was associated with higher rates of incident cancer and ACM but not with incident CVD, with some evidence of direct SB accumulation effects independent of 24-hour time use. Findings provide some support for considering SB accumulation as an adjunct target of messaging to "sit less and move more."
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Affiliation(s)
- Paddy C. Dempsey
- MRC Epidemiology UnitInstitute of Metabolic ScienceUniversity of CambridgeCambridge Biomedical CampusCambridgeUnited Kingdom
- Baker Heart and Diabetes InstituteMelbourneAustralia
- Diabetes Research CentreUniversity of LeicesterLeicester General HospitalLeicesterUnited Kingdom
| | - Tessa Strain
- MRC Epidemiology UnitInstitute of Metabolic ScienceUniversity of CambridgeCambridge Biomedical CampusCambridgeUnited Kingdom
| | | | - Kate Westgate
- MRC Epidemiology UnitInstitute of Metabolic ScienceUniversity of CambridgeCambridge Biomedical CampusCambridgeUnited Kingdom
| | - Kirsten L. Rennie
- MRC Epidemiology UnitInstitute of Metabolic ScienceUniversity of CambridgeCambridge Biomedical CampusCambridgeUnited Kingdom
| | - Nicholas J. Wareham
- MRC Epidemiology UnitInstitute of Metabolic ScienceUniversity of CambridgeCambridge Biomedical CampusCambridgeUnited Kingdom
| | - Soren Brage
- MRC Epidemiology UnitInstitute of Metabolic ScienceUniversity of CambridgeCambridge Biomedical CampusCambridgeUnited Kingdom
| | - Katrien Wijndaele
- MRC Epidemiology UnitInstitute of Metabolic ScienceUniversity of CambridgeCambridge Biomedical CampusCambridgeUnited Kingdom
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Gao Z, Wang R. Application of e-health programs in physical activity and health promotion. JOURNAL OF SPORT AND HEALTH SCIENCE 2022; 11:131-132. [PMID: 34551337 PMCID: PMC9068736 DOI: 10.1016/j.jshs.2021.09.007] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/20/2021] [Revised: 08/30/2021] [Accepted: 09/17/2021] [Indexed: 05/10/2023]
Affiliation(s)
- Zan Gao
- School of Kinesiology, University of Minnesota, Minneapolis, MN 55455, USA.
| | - Ru Wang
- School of Kinesiology, Shanghai University of Sport, Shanghai 200438, China.
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Liu Z, Wang J. Associations of perceived role of exercise in cancer prevention with physical activity and sedentary behavior in older adults. Geriatr Nurs 2022; 44:199-205. [PMID: 35219174 DOI: 10.1016/j.gerinurse.2022.02.012] [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: 01/14/2022] [Revised: 02/06/2022] [Accepted: 02/08/2022] [Indexed: 11/04/2022]
Abstract
This study examined whether the perceived importance of exercise in cancer prevention was related to physical activity and sedentary behavior in older adults, who are the most vulnerable to cancer and the least active among all age groups. A cross-sectional analysis was conducted with 1,308 respondents (≥ 50 years) from the cycle 2 of the 2018 Health Information National Trends Survey (HINTS). 70.23% of older adults acknowledged the protective role of exercise in cancer prevention. Logistic regression analysis revealed that the perceived role of exercise in cancer prevention was significantly and positively associated with physical activity (Odds Ratio = 1.58, p = .013), while multiple linear regression analysis revealed that the perceived role of exercise in cancer prevention was significantly and negatively associated with sedentary behavior (p < .001) in older adults. Findings from this study can guide efforts to develop interventions that could promote physical activity and reduce sedentary behavior in older adults.
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Affiliation(s)
- Zhaoli Liu
- College of Nursing and Health Innovation, The University of Texas at Arlington, 411 S. Nedderman Drive Box 19407, Arlington, TX 76019, United States.
| | - Jing Wang
- College of Nursing and Health Innovation, The University of Texas at Arlington, 411 S. Nedderman Drive Box 19407, Arlington, TX 76019, United States
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De Jong NP, Rudolph MC, Jackman MR, Sharp RR, Jones K, Houck J, Pan Z, Reusch JEB, MacLean PS, Bessesen DH, Bergouignan A. Short-Term Adaptations in Skeletal Muscle Mitochondrial Oxidative Capacity and Metabolic Pathways to Breaking up Sedentary Behaviors in Overweight or Obese Adults. Nutrients 2022; 14:nu14030454. [PMID: 35276813 PMCID: PMC8838620 DOI: 10.3390/nu14030454] [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] [Subscribe] [Scholar Register] [Received: 12/16/2021] [Revised: 01/14/2022] [Accepted: 01/16/2022] [Indexed: 12/04/2022] Open
Abstract
Breaking up sedentary behavior with short-frequent bouts of physical activity (PA) differentially influences metabolic health compared with the performance of a single-continuous bout of PA matched for total active time. However, the underlying mechanisms are unknown. We compared skeletal muscle mitochondrial respiration (high-resolution respirometry) and molecular adaptations (RNA sequencing) following 4-day exposure to breaks vs. energy-matched single-continuous PA bout in inactive adults with overweight/obesity. Participants (9M/10F, 32.2 ± 6.4 years, 30.3 ± 3.0 kg/m2) completed three 4-day interventions of a randomized cross-over study: SED, sedentary control; MICRO, 5 min brisk walking each hour for 9 h; ONE: 45 min/d continuous brisk walking bout. Fasted muscle biopsies were collected on day 5. Mitochondrial coupling in the presence of lipid-associated substrates was higher after ONE (4.8 ± 2.5) compared to MICRO (3.1 ± 1.1, p = 0.02) and SED (2.3 ± 1.0, p = 0.001). Respiratory rates did not differ across groups with carbohydrate-associated substrates. In pathways associated with muscle contraction transcription signaling, ONE and MICRO similarly enhanced Oxidative Phosphorylation and Sirtuin Signaling expression (p < 0.0001, for both). However, ONE (p < 0.001, for all), but not MICRO, had greater pathway enrichment, including Ca++, mTOR, AMPK, and HIF1α signaling, than SED. Although breaking up sedentary behavior triggered skeletal muscle molecular adaptations favoring oxidative capacity, it did not improve mitochondrial function over the short term.
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Affiliation(s)
- Nathan P. De Jong
- Division of Endocrinology, Metabolism, Diabetes and Anschutz Health and Wellness Center, University of Colorado School of Medicine, Aurora, CO 80045, USA; (N.P.D.J.); (D.H.B.)
| | - Michael C. Rudolph
- Department of Physiology, Harold Hamm Diabetes Center, Oklahoma University Health Sciences Center, Oklahoma City, OK 73104, USA; (M.C.R.); (R.R.S.)
| | - Matthew R. Jackman
- Division of Endocrinology, Metabolism, and Diabetes, Department of Medicine, Anschutz Medical Campus, University of Colorado, Aurora, CO 80045, USA; (M.R.J.); (J.H.); (P.S.M.)
| | - Rachel R. Sharp
- Department of Physiology, Harold Hamm Diabetes Center, Oklahoma University Health Sciences Center, Oklahoma City, OK 73104, USA; (M.C.R.); (R.R.S.)
- Laboratory of Molecular Biology and Cytometric Research, Oklahoma University Health Sciences Center, Oklahoma City, OK 73104, USA;
| | - Ken Jones
- Laboratory of Molecular Biology and Cytometric Research, Oklahoma University Health Sciences Center, Oklahoma City, OK 73104, USA;
| | - Julie Houck
- Division of Endocrinology, Metabolism, and Diabetes, Department of Medicine, Anschutz Medical Campus, University of Colorado, Aurora, CO 80045, USA; (M.R.J.); (J.H.); (P.S.M.)
| | - Zhaoxing Pan
- Department of Biostatistics and Informatics, Anschutz Medical Campus, University of Colorado, Aurora, CO 80045, USA;
| | - Jane E. B. Reusch
- Center for Women’s Health Research, University of Colorado School of Medicine, Aurora, CO 80045, USA;
- Department of Medicine, University of Colorado, Anschutz Medical Campus, Aurora, CO 80045, USA
- Rocky Mountain Regional Veterans Affairs Medical Center, Aurora, CO 80045, USA
| | - Paul S. MacLean
- Division of Endocrinology, Metabolism, and Diabetes, Department of Medicine, Anschutz Medical Campus, University of Colorado, Aurora, CO 80045, USA; (M.R.J.); (J.H.); (P.S.M.)
| | - Daniel H. Bessesen
- Division of Endocrinology, Metabolism, Diabetes and Anschutz Health and Wellness Center, University of Colorado School of Medicine, Aurora, CO 80045, USA; (N.P.D.J.); (D.H.B.)
- Denver Health Medical Center, Denver, CO 80204, USA
| | - Audrey Bergouignan
- Division of Endocrinology, Metabolism, Diabetes and Anschutz Health and Wellness Center, University of Colorado School of Medicine, Aurora, CO 80045, USA; (N.P.D.J.); (D.H.B.)
- Institut Pluridisciplinaire Hubert Curien, Université de Strasbourg, Centre National de la Recherche Scientifique (CNRS), UMR7178, 67037 Strasbourg, France
- Correspondence: or
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Alme KN, Ulvik A, Askim T, Assmus J, Mollnes TE, Naik M, Næss H, Saltvedt I, Ueland PM, Knapskog AB. Neopterin and kynurenic acid as predictors of stroke recurrence and mortality: a multicentre prospective cohort study on biomarkers of inflammation measured three months after ischemic stroke. BMC Neurol 2021; 21:476. [PMID: 34879833 PMCID: PMC8653541 DOI: 10.1186/s12883-021-02498-w] [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: 09/24/2021] [Accepted: 11/15/2021] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND Chronic low-grade inflammation is associated with both ischemic stroke and sedentary behaviour. The aim of this study was to investigate the predictive abilities of biomarkers of inflammation and immune modulation associated with sedentary behaviour for ischemic stroke recurrence and mortality in a stroke population. METHODS Patients admitted to hospital for acute stroke were recruited to the prospective multicentre cohort study, the Norwegian Cognitive Impairment After Stroke (Nor-COAST) study, from May 2015 until March 2017. Patients with ischemic stroke, blood samples available from the three-month follow-up, and no stroke recurrence before the three-month follow-up were included. Serum was analysed for C-reactive protein (CRP) with high-sensitive technique, and plasma for interleukin-6 (IL-6), neopterin, pyridoxic acid ratio index (PAr-index: 4-pyridoxic acid: [pyrioxal+pyridoxal-5'-phosphate]) and kynurenic acid (KA). Ischemic stroke recurrence and death were identified by the Norwegian Stroke Registry and the Cause of Death Registry until 31 December 2018. RESULTS The study included 354 patients, 57% male, mean age 73 (SD 11) years, mean observation time 2.5 (SD 0.6) years, and median National Institute of Health Stroke Scale of 0 (IQR 1) at three months. CRP was associated with mortality (HR 1.40, CI 1.01, 1.96, p = 0.046), and neopterin was associated with the combined endpoint (recurrent ischemic stroke or death) (HR 1.52, CI 1.06, 2.20, p = 0.023), adjusted for age, sex, prior cerebrovascular disease, modified Rankin Scale, and creatinine. When adding neopterin and KA to the same model, KA was negatively associated (HR 0.57, CI 0.33, 0.97, p = 0.038), and neopterin was positively associated (HR 1.61, CI 1.02, 2.54, p = 0.040) with mortality. Patients with cardioembolic stroke at baseline had higher levels of inflammation at three months. CONCLUSION Neopterin might be a valuable prognostic biomarker in stroke patients. The use of KA as a measure of anti-inflammatory capacity should be investigated further. TRIAL REGISTRATION The study was registered at Clinicaltrials.gov ( NCT02650531 ). First posted on 08/01/2016.
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Affiliation(s)
- Katinka Nordheim Alme
- Institute of Clinical Medicine (K1), University of Bergen, Bergen, Norway. .,Department of Internal Medicine, Haraldsplass Deaconess Hospital, Bergen, Norway.
| | | | - Torunn Askim
- Department of Neuromedicine and Movement Science, Faculty of Medicine and Health Science, NTNU-Norwegian University of Science and Technology, Trondheim, Norway
| | - Jörg Assmus
- Centre for Clinical Research, Haukeland University Hospital, Bergen, Norway
| | - Tom Eirik Mollnes
- Department of Immunology, Oslo University Hospital and University of Oslo, Oslo, Norway.,Research Laboratory, Nordland Hospital, Bodø, and K.G. Jebsen TREC, University of Tromsø, Tromsø, Norway.,Centre of Molecular Inflammation Research, NTNU-Norwegian University of Science and Technology, Trondheim, Norway
| | - Mala Naik
- Department of Internal Medicine, Haraldsplass Deaconess Hospital, Bergen, Norway.,Department of Clinical Science (K2), University of Bergen, Bergen, Norway
| | - Halvor Næss
- Institute of Clinical Medicine (K1), University of Bergen, Bergen, Norway.,Department of Neurology, Haukeland University Hospital, Bergen, Norway.,Centre for age-related medicine, Stavanger University Hospital, Stavanger, Norway
| | - Ingvild Saltvedt
- Department of Neuromedicine and Movement Science, Faculty of Medicine and Health Science, NTNU-Norwegian University of Science and Technology, Trondheim, Norway.,Department of Geriatrics, Clinic of internal medicine, St Olavs Hospital, Trondheim University Hospital, Trondheim, Norway
| | | | - Anne-Brita Knapskog
- Department of Geriatric Medicine, Oslo University Hospital. Ullevaal, Oslo, Norway
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Physical Activity Among Preadolescents Modifies the Long-Term Association Between Sedentary Time Spent Using Digital Media and the Increased Risk of Being Overweight. J Phys Act Health 2021; 18:1105-1112. [PMID: 34326270 DOI: 10.1123/jpah.2021-0163] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/10/2021] [Revised: 05/05/2021] [Accepted: 05/24/2021] [Indexed: 12/16/2022]
Abstract
BACKGROUND This study aimed to examine whether sedentary digital media use in preadolescence increases the risk of being overweight 3 years later, and whether this association differs based on preadolescents' leisure-time physical activity (LTPA) levels. METHODS The authors conducted a 3-year follow-up study among 4661 participants with a mean (SD) age of 11 (1) years at baseline and 14 (1) years at follow-up. A web-based questionnaire assessed sedentary digital media use and LTPA. The authors categorized baseline LTPA duration into 3 levels: 0 to 5 (low), 6 to 8 (moderate), and ≥9 (high) hours per week. In addition, the authors categorized adolescents as normal weight or overweight/obese at follow-up. RESULTS Greater amounts of sedentary digital media use at baseline associated with an increased risk of being overweight 3 years later even after adjusting for confounders. This only held for preadolescents with low baseline LTPA (OR = 1.14; 95% confidence interval, 1.05-1.24), but not among those with moderate (OR = 1.02; 0.91-1.15) or high (OR = 0.96; 0.85-1.08) LTPA. CONCLUSIONS Preadolescent LTPA modified the long-term association between sedentary digital media use and being overweight; specifically, 6 hours per week or more of LTPA mitigated the increased risk of being overweight associated with higher amounts of digital media use.
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Prediction framework for upper body sedentary working behaviour by using deep learning and machine learning techniques. Soft comput 2021; 26:12969-12984. [PMID: 34456620 PMCID: PMC8385485 DOI: 10.1007/s00500-021-06156-8] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 08/13/2021] [Indexed: 11/19/2022]
Abstract
Public health experts and healthcare professionals are gradually identifying sedentary activity as a population-wide, pervasive health risk. The purpose of this paper is to propose a method to identify the changes in posture during sedentary work and to give feedback by analysing the identified posture of the upper body, i.e. hands, shoulder, and head positioning. After capturing the image of the human pose, pre-processing of the image takes place with a bandpass filter, which helps to reduce the noise and morphological operation, which is used to carry out the process of dilation, erosion and opening of an image. To predict the results easily with the use of texture feature extraction, it helps to extract the image’s feature. Then, accuracy is predicted by using the deep neural network techniques, to predict the result accurately. After prediction and analysis, the feedback system is developed to alert individuals through the alarm system. The proposed method is formulated by using DNN for prediction in the MATLAB software tool. The results show accuracy, sensitivity and specificity of the prediction using a deep neural network are 97.2%, 88.7% and 99.1%. The proposed method is compared with the existing methods SVM, Random Forest and KNN algorithms. The accuracy, sensitivity and specificity of the existing algorithms are SVM with 77.6%, 57.4 and 97.8%; Random Forest with 80.6%, 63.7% and 97.5%; and KNN with 65.8%, 61.2%, and 95.1%. This concept helps to prevent the impact of sedentary activity on fatal and non-fatal cardiovascular and musculoskeletal diseases, respectively.
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Alansare AB, Bates LC, Stoner L, Kline CE, Nagle E, Jennings JR, Hanson ED, Faghy MA, Gibbs BB. Associations of Sedentary Time with Heart Rate and Heart Rate Variability in Adults: A Systematic Review and Meta-Analysis of Observational Studies. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2021; 18:ijerph18168508. [PMID: 34444256 PMCID: PMC8391190 DOI: 10.3390/ijerph18168508] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 07/02/2021] [Revised: 08/07/2021] [Accepted: 08/09/2021] [Indexed: 01/18/2023]
Abstract
PURPOSE To evaluate if sedentary time (ST) is associated with heart rate (HR) and variability (HRV) in adults. METHODS We systematically searched PubMed and Google Scholar through June 2020. Inclusion criteria were observational design, humans, adults, English language, ST as the exposure, resting HR/HRV as the outcome, and (meta-analysis only) availability of the quantitative association with variability. After qualitative synthesis, meta-analysis used inverse variance heterogeneity models to estimate pooled associations. RESULTS Thirteen and eight articles met the criteria for the systematic review and meta-analysis, respectively. All studies were cross-sectional and few used gold standard ST or HRV assessment methodology. The qualitative synthesis suggested no associations between ST and HR/HRV. The meta-analysis found a significant association between ST and HR (β = 0.24 bpm per hour ST; CI: 0.10, 0.37) that was stronger in males (β = 0.36 bpm per hour ST; CI: 0.19, 0.53). Pooled associations between ST and HRV indices were non-significant (p > 0.05). Substantial heterogeneity was detected. CONCLUSIONS The limited available evidence suggests an unfavorable but not clinically meaningful association between ST and HR, but no association with HRV. Future longitudinal studies assessing ST with thigh-based monitoring and HRV with electrocardiogram are needed.
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Affiliation(s)
- Abdullah Bandar Alansare
- Department of Exercise Physiology, College of Sport Sciences and Physical Activity, King Saud University, King Khalid Rd, Riyadh 80200, Saudi Arabia
- Correspondence: ; Tel.: +966-555061381; Fax: +966-11-806-3370
| | - Lauren C. Bates
- Department of Exercise and Sport Science, University of North Carolina, Chapel Hill, NC 27599, USA; (L.C.B.); (L.S.); (E.D.H.)
| | - Lee Stoner
- Department of Exercise and Sport Science, University of North Carolina, Chapel Hill, NC 27599, USA; (L.C.B.); (L.S.); (E.D.H.)
| | - Christopher E. Kline
- Department of Health and Human Development, School of Education, University of Pittsburgh, 140 Trees Hall, Pittsburgh, PA 15261, USA; (C.E.K.); (E.N.); (B.B.G.)
| | - Elizabeth Nagle
- Department of Health and Human Development, School of Education, University of Pittsburgh, 140 Trees Hall, Pittsburgh, PA 15261, USA; (C.E.K.); (E.N.); (B.B.G.)
| | - J. Richard Jennings
- Department of Psychiatry, University of Pittsburgh, Pittsburgh, PA 15219, USA;
| | - Erik D. Hanson
- Department of Exercise and Sport Science, University of North Carolina, Chapel Hill, NC 27599, USA; (L.C.B.); (L.S.); (E.D.H.)
| | - Mark A. Faghy
- Human Sciences Research Centre, University of Derby, Derby DE22 1GB, UK;
| | - Bethany Barone Gibbs
- Department of Health and Human Development, School of Education, University of Pittsburgh, 140 Trees Hall, Pittsburgh, PA 15261, USA; (C.E.K.); (E.N.); (B.B.G.)
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Biddle SJH, Henson J, Davies MJ, Khunti K, Sutton S, Yates T, Edwardson CL. Device-assessed total and prolonged sitting time: associations with anxiety, depression, and health-related quality of life in adults. J Affect Disord 2021; 287:107-114. [PMID: 33774318 DOI: 10.1016/j.jad.2021.03.037] [Citation(s) in RCA: 13] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/20/2021] [Revised: 03/11/2021] [Accepted: 03/15/2021] [Indexed: 12/30/2022]
Abstract
OBJECTIVE Assessment of sitting has been challenging and nuances in the length of sitting are often missed. METHODS The present study assessed total, short and prolonged sitting time, and number of breaks from sitting, and their association with anxiety, depression, and health-related quality of life (HRQoL). Adults (M=59.1 years) in three studies (n=1,574) wore the activPAL accelerometer (thigh) to obtain a measure of sitting, and the Actigraph accelerometer (hip) for estimating moderate-to-vigorous physical activity (MVPA). Anxiety and depression were assessed using the Hospital Anxiety and Depression Scale, and HRQoL using the EQ-5D-5L (for health state and utility scores). Generalised linear modelling tested associations. RESULTS Total and prolonged sitting were associated with higher depression [total: β = 0.132 (0.010, 0.254); prolonged: β = 0.178 (0.053, 0.304)] and worse HRQoL health state scores [(total: β = -0.985 (-1.471, -0.499); prolonged: β = -0.834 (-1.301, -0.367)] and utility scores [(total: β = -0.008 (-0.012, -0.003); prolonged: β = -0.008 (-0.012, -0.004)], after controlling for covariates. MVPA was associated with better HRQoL health state and utility scores [health state: β =0.554 (0.187, 0.922); utility: β = 0.001 (0.001, 0.002)]. Total and prolonged sitting were associated with a 14% increased odds of being in the borderline/abnormal category for depression. No interactions were observed between MVPA status (active vs. inactive) and total or prolonged sitting. Anxiety was unrelated to any sitting variable. CONCLUSION Device-based measures of both total and prolonged sitting time were associated with depression and health-related quality of life, but not anxiety.
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Affiliation(s)
- Stuart J H Biddle
- Centre for Health Research, University of Southern Queensland, Springfield, Australia.
| | - Joseph Henson
- Diabetes Research Centre, University of Leicester, Leicester General Hospital Leicester LE5 4PW, UK; NIHR Leicester Biomedical Research Centre, Leicester General Hospital, Leicester, LE5 4PW, UK
| | - Melanie J Davies
- Diabetes Research Centre, University of Leicester, Leicester General Hospital Leicester LE5 4PW, UK; NIHR Leicester Biomedical Research Centre, Leicester General Hospital, Leicester, LE5 4PW, UK; Leicester Diabetes Centre, University Hospitals of Leicester, Leicester General Hospital, Leicester, LE5 4PW, UK
| | - Kamlesh Khunti
- Diabetes Research Centre, University of Leicester, Leicester General Hospital Leicester LE5 4PW, UK; Leicester Diabetes Centre, University Hospitals of Leicester, Leicester General Hospital, Leicester, LE5 4PW, UK; NIHR Applied Health Research Collaboration - East Midlands (NIHR ARC-EM), Leicester Diabetes Centre, Leicester, UK
| | - Stephen Sutton
- Behavioural Science Group, Primary Care Unit, Department of Public Health and Primary Care, University of Cambridge, Cambridge, United Kingdom
| | - Thomas Yates
- Diabetes Research Centre, University of Leicester, Leicester General Hospital Leicester LE5 4PW, UK; NIHR Leicester Biomedical Research Centre, Leicester General Hospital, Leicester, LE5 4PW, UK; Leicester Diabetes Centre, University Hospitals of Leicester, Leicester General Hospital, Leicester, LE5 4PW, UK
| | - Charlotte L Edwardson
- Diabetes Research Centre, University of Leicester, Leicester General Hospital Leicester LE5 4PW, UK; NIHR Leicester Biomedical Research Centre, Leicester General Hospital, Leicester, LE5 4PW, UK; Leicester Diabetes Centre, University Hospitals of Leicester, Leicester General Hospital, Leicester, LE5 4PW, UK
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Koohsari MJ, Nakaya T, McCormack GR, Shibata A, Ishii K, Oka K. Changes in Workers' Sedentary and Physical Activity Behaviors in Response to the COVID-19 Pandemic and Their Relationships With Fatigue: Longitudinal Online Study. JMIR Public Health Surveill 2021; 7:e26293. [PMID: 33727211 PMCID: PMC8006899 DOI: 10.2196/26293] [Citation(s) in RCA: 29] [Impact Index Per Article: 9.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/05/2020] [Revised: 02/02/2021] [Accepted: 03/09/2021] [Indexed: 12/12/2022] Open
Abstract
Background Sedentary behaviors and physical activity are likely to be affected by the COVID-19 outbreak, and sedentary lifestyles can increase subjective fatigue. The nonpharmaceutical policies imposed as a result of the COVID-19 pandemic may also have adverse effects on fatigue. Objective This study has two aims: to examine the changes in sedentary behaviors and physical activity of company workers in response to the COVID-19 pandemic in Japan and to examine relationships between changes in these sedentary behaviors and physical activity and changes in fatigue. Methods Data from a nationwide prospective online survey conducted in 2019 and 2020 were used. On February 22, 2019, an email with a link to participate in the study was sent to 45,659 workers, aged 20 to 59 years, who were randomly selected from a database of approximately 1 million individuals. A total of 2466 and 1318 participants, who self-reported their occupation as company workers, answered the baseline and follow-up surveys, respectively. Surveys captured fatigue, workday and daily domain-specific sedentary behaviors and physical activity, and total sedentary behaviors and physical activity. We used multivariable linear regression models to estimate associations of changes in sedentary behaviors and physical activity with changes in fatigue. Results Increases in public transportation sitting during workdays, other leisure sitting time during workdays, and other leisure sitting time were associated with an increase in the motivation aspect of fatigue (b=0.29, 95% CI 0-0.57, P=.048; b=0.40, 95% CI 0.18-0.62, P<.001; and b=0.26, 95% CI 0.07-0.45, P=.007, respectively). Increases in work-related sitting time during workdays, total sitting time during workdays, and total work-related sitting time were significantly associated with an increase in the physical activity aspect of fatigue (b=0.06, 95% CI 0-0.12, P=.03; b=0.05, 95% CI 0.01-0.09, P=.02; and b=0.07, 95% CI 0-0.14, P=.04, respectively). The motivation and physical activity aspects of fatigue increased by 0.06 for each 1-hour increase in total sitting time between baseline and follow-up (b=0.06, 95% CI 0-0.11, P=.045; and b=0.06, 95% CI 0.01-0.10, P=.009, respectively). Conclusions Our findings demonstrated that sedentary and active behaviors among company workers in Japan were negatively affected during the COVID-19 outbreak. Increases in several domain-specific sedentary behaviors also contributed to unfavorable changes in workers’ fatigue. Social distancing and teleworking amid a pandemic may contribute to the sedentary lifestyle of company workers. Public health interventions are needed to mitigate the negative effects of the COVID-19 pandemic or future pandemics on sedentary and physical activity behaviors and fatigue among company workers.
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Affiliation(s)
- Mohammad Javad Koohsari
- Faculty of Sport Sciences, Waseda University, Tokorozawa, Japan.,Melbourne School of Population and Global Health, The University of Melbourne, Melbourne, Australia.,Behavioural Epidemiology Laboratory, Baker Heart and Diabetes Institute, Melbourne, Australia
| | - Tomoki Nakaya
- Graduate School of Environmental Studies, Tohoku University, Sendai, Japan
| | - Gavin R McCormack
- Faculty of Sport Sciences, Waseda University, Tokorozawa, Japan.,Department of Community Health Sciences, Cumming School of Medicine, University of Calgary, Calgary, AB, Canada.,Faculty of Kinesiology, University of Calgary, Calgary, AB, Canada.,School of Architecture, Planning and Landscape, University of Calgary, Calgary, AB, Canada
| | - Ai Shibata
- Faculty of Health and Sport Sciences, University of Tsukuba, Tsukuba, Japan
| | - Kaori Ishii
- Faculty of Sport Sciences, Waseda University, Tokorozawa, Japan
| | - Koichiro Oka
- Faculty of Sport Sciences, Waseda University, Tokorozawa, Japan
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Cole AG, Laxer RE, Patte KA, Leatherdale ST. Can We Reverse this Trend? Exploring Health and Risk Behaviours of Grade 12 Cohorts of Ontario Students from 2013-2019. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2021; 18:3109. [PMID: 33803500 PMCID: PMC8002993 DOI: 10.3390/ijerph18063109] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 02/26/2021] [Revised: 03/15/2021] [Accepted: 03/17/2021] [Indexed: 12/23/2022]
Abstract
Adolescents engage in multiple health risk behaviours that put them at risk of future chronic disease. By the time students graduate from secondary school, they may be engaging in behaviours that set them on a particular health trajectory. It is important to monitor the co-occurrence of health risk behaviours of cohorts of grade 12 students over time to highlight important areas for intervention. The purpose of this study was to examine trends in health and risk behaviours over six waves among subsequent cohorts of grade twelve students from Ontario, Canada. A total of 44,740 grade 12 students participated in the COMPASS study across the six waves (2013/14 to 2018/19), and self-reported movement (physical activity, screen time, sleep), dietary (fruit and vegetables, breakfast), and substance use (smoking, vaping, binge drinking, and cannabis use) behaviours. Over 91.0% of students reported engaging in three or more health risk behaviours, with increases in the number of students reporting inadequate sleep, not eating breakfast on every school day, and vaping over time. Although modest, the wave 6 cohort reported slightly more risk behaviours compared with the wave 1 cohort, highlighting the importance of multidimensional health promotion strategies across multiple settings.
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Affiliation(s)
- Adam G. Cole
- Faculty of Health Sciences, Ontario Tech University, Oshawa, ON L1G 0C5, Canada
| | | | - Karen A. Patte
- Faculty of Applied Health Sciences, Brock University, St. Catharines, ON L2S 3A1, Canada;
| | - Scott T. Leatherdale
- School of Public Health and Health Systems, University of Waterloo, Waterloo, ON N2L 3G1, Canada;
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50
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Zheng C, Feng J, Huang W, Wong SHS. Associations between weather conditions and physical activity and sedentary time in children and adolescents: A systematic review and meta-analysis. Health Place 2021; 69:102546. [PMID: 33714181 DOI: 10.1016/j.healthplace.2021.102546] [Citation(s) in RCA: 18] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/24/2020] [Revised: 02/25/2021] [Accepted: 02/27/2021] [Indexed: 02/07/2023]
Abstract
This systematic review and meta-analysis aimed to investigate the associations between weather conditions and physical activity (PA) and sedentary time (ST) in children and adolescents. A systematic search of six databases identified 11,816 articles, of which 26 studies were included in the review. Several weather conditions were included, such as rainfall, temperature, wind speed, day length, sunlight, humidity, snowfall, and clouds. Meta-analyses showed that higher temperatures were associated with more moderate-to-vigorous PA, while lower temperature and heavily rainfall was associated with longer ST. Children and adolescents showed more PA and less ST during favorable weather conditions. Future longitudinal and intervention studies on PA and ST should focus on how weather conditions promote or hinder these behaviors.
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Affiliation(s)
- Chen Zheng
- Department of Sports Science and Physical Education, The Chinese University of Hong Kong, Hong Kong, China
| | - Jie Feng
- Department of Sport, Physical Education and Health, Hong Kong Baptist University, Hong Kong, China
| | - WendyYajun Huang
- Department of Sport, Physical Education and Health, Hong Kong Baptist University, Hong Kong, China
| | - Stephen Heung-Sang Wong
- Department of Sports Science and Physical Education, The Chinese University of Hong Kong, Hong Kong, China.
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