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Keadle S, Hasanaj K, Leonard-Corzo KS, Fernandez A, Freid L, Weiss S, Legato M, Anand H, Hagobian T, Phillips S, Phelan S, Guastaferro K, Seltzer R, Buman M. StandUPTV: A full-factorial optimization trial to reduce sedentary screen time among adults. RESEARCH SQUARE 2025:rs.3.rs-5984168. [PMID: 40060037 PMCID: PMC11888546 DOI: 10.21203/rs.3.rs-5984168/v1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Indexed: 03/21/2025]
Abstract
Background Using the multiphase optimization strategy (MOST) framework, we aimed to identify a feasible, acceptable and optimized set of mHealth-delivered behavioral strategies for reducing recreational sedentary screen time (rSST) by at least 60 min/day. Methods Eligible participants were 23-64 years old and had high rSST (> 3 h/day). We used a full factorial (23) design in which participants received a "core" mHealth application and were randomized to combinations of three components (on vs. off): LOCKOUT: rSST electronically restricted; TEXT: rSST reduction prompts; and EARN: rSST through physical activity. rSST was assessed at baseline and at 8 and 16 weeks of age via an integrated measure of sedentary time and screen time. We used a linear mixed effect model to test the change in rSST for the three intervention components and their interactions. Results A total of 82% of the randomized participants (N = 110) were female, with a mean ± SD age of 41 ± 11.7 y and a BMI of 29.7 ± 7.8 kg/m2, and their mean (95% CI) rSST was 184.7 (172.8, 196.5) min/day at baseline. The expected difference (baseline vs 16 weeks) in rSST was greatest for the intervention versions with a core, LOCKOUT, TEXT, & EARN (-125.7 [-172.0, -79.3] min/day) at the "on" level. The participants were satisfied with the study and found the app helpful in reducing rSST (> 94%). Technical issues resulted in 20% being somewhat dissatisfied with the app. Conclusions We identified several promising intervention versions that exceeded our optimization objective. The intervention version that included core, LOCKOUT, TEXT, & EARN components "on" was efficacious, feasible and acceptable and should be used to test the effect of rSST reductions on health outcomes. Trial registration (clinicaltrials.gov NCT04464993).
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Aguiar EJ, Mora-Gonzalez J, Ducharme SW, Moore CC, Gould ZR, Chase CJ, Amalbert-Birriel MA, Chipkin SR, Staudenmayer J, Zheng P, Tudor-Locke C. Cadence-based classification of moderate-intensity overground walking in 41- to 85-year-old adults. Scand J Med Sci Sports 2023; 33:433-443. [PMID: 36403207 DOI: 10.1111/sms.14274] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/09/2022] [Revised: 08/24/2022] [Accepted: 11/10/2022] [Indexed: 11/21/2022]
Abstract
BACKGROUND Walking cadence (steps/min) has emerged as a valid proxy of physical activity intensity, with consensus across numerous laboratory-based treadmill studies that ≥100 steps/min approximates absolutely defined moderate intensity (≥3 metabolic equivalents; METs). We recently reported that this cadence threshold had a classification accuracy of 73.3% for identifying moderate intensity during preferred pace overground walking in young adults. The purpose of this study was to evaluate and compare the performance of a cadence threshold of ≥100 steps/min for correctly classifying moderate intensity during overground walking in middle- and older-aged adults. METHODS Participants (N = 174, 48.3% female, 41-85 years of age) completed laboratory-based cross-sectional study involving an indoor 5-min overground walking trial at their preferred pace. Steps were manually counted and converted to cadence (total steps/5 min). Intensity was measured using indirect calorimetry and expressed as METs. Classification accuracy (sensitivity, specificity, accuracy) of a cadence threshold of ≥100 steps/min to identify individuals walking at ≥3 METs was calculated. RESULTS The ≥100 steps/min threshold demonstrated accuracy of 74.7% for classifying moderate intensity. When comparing middle- vs. older-aged adults, similar accuracy (73.4% vs. 75.8%, respectively) and specificity (33.3% vs. 34.5%) were observed. Sensitivity was high, but was lower for middle- vs. older-aged adults (85.2% vs. 93.9%, respectively). CONCLUSION A cadence threshold of ≥100 steps/min accurately identified moderate-intensity overground walking. Furthermore, accuracy was similar when comparing middle- and older-aged adults. These findings extend our previous analysis in younger adults and confirm the appropriateness of applying this cadence threshold across the adult lifespan.
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Affiliation(s)
- Elroy J Aguiar
- Department of Kinesiology, The University of Alabama, Tuscaloosa, Alabama, USA
| | - Jose Mora-Gonzalez
- College of Health and Human Services, University of North Carolina at Charlotte, Charlotte, North Carolina, USA
- PROFITH "PROmoting FITness and Health through physical activity" Research Group, Sport and Health University Research Institute (iMUDS), Department of Physical Education and Sports, Faculty of Sport Sciences, University of Granada, Granada, Spain
| | - Scott W Ducharme
- Department of Kinesiology, California State University Long Beach, Long Beach, California, USA
| | - Christopher C Moore
- Department of Epidemiology, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA
| | - Zachary R Gould
- Department of Kinesiology, University of Massachusetts Amherst, Amherst, Massachusetts, USA
| | - Colleen J Chase
- Department of Kinesiology, University of Massachusetts Amherst, Amherst, Massachusetts, USA
| | | | - Stuart R Chipkin
- Department of Kinesiology, University of Massachusetts Amherst, Amherst, Massachusetts, USA
| | - John Staudenmayer
- Department of Mathematics and Statistics, University of Massachusetts Amherst, Amherst, Massachusetts, USA
| | - Peixuan Zheng
- Department of Kinesiology, The University of Alabama, Tuscaloosa, Alabama, USA
| | - Catrine Tudor-Locke
- College of Health and Human Services, University of North Carolina at Charlotte, Charlotte, North Carolina, USA
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Latomme J, Morgan PJ, Chastin S, Brondeel R, Cardon G. Effects of a family-based lifestyle intervention on co-physical activity and other health-related outcomes of fathers and their children: the 'Run Daddy Run' intervention. BMC Public Health 2023; 23:342. [PMID: 36793044 PMCID: PMC9930712 DOI: 10.1186/s12889-023-15191-z] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/28/2021] [Accepted: 02/02/2023] [Indexed: 02/17/2023] Open
Abstract
BACKGROUND Fathers are important in establishing healthy behaviors in their children, but are rarely engaged in lifestyle programs. Focusing on physical activity (PA) of both fathers and their children by engaging them together in PA (i.e. "co-PA") is therefore a promising novel strategy for interventions. The study aim was to investigate the effect of the 'Run Daddy Run' on co-PA and PA of fathers and their children, and secondary outcomes such as weight status and sedentary behaviour (SB). METHODS This study is a non-randomized controlled trial (nRCT), including 98 fathers and one of their 6 to 8 years old children (intervention = 35, control = 63). The intervention was implemented over a 14-week period, and consisted of six (inter)active father-child sessions and an online component. Due to COVID-19, only 2/6 sessions could be implemented as planned, the remaining sessions were delivered online. In November 2019-January 2020 pre-test measurements took place, and post-test measurements in June 2020. Additional follow-up test was conducted in November 2020. PA (i.e. LPA, MPA, VPA and volume) of fathers and children were objectively measured using accelerometry, co-PA and the secondary outcomes were questioned using an online questionnaire. RESULTS Significant intervention effects were found for co-PA (+ 24 min./day in the intervention compared to the control group, p = 0.002), and MPA of the father (+ 17 min./day, p = 0.035). For children, a significant increase in LPA (+ 35 min./day, p < 0.001) was found. However, an inverse intervention effect was found for their MPA and VPA (-15 min./day, p = 0.005 and - 4 min./day, p = 0.002, respectively). Also decreases in fathers' and children's SB were found (-39 min./day, p = 0.022 and - 40 min./day, p = 0.003, respectively), but no changes in weight status, the father-child relationship, and the PA-family health climate (all p > 0.05). CONCLUSION The Run Daddy Run intervention was able to improve co-PA, MPA of fathers and LPA of children, and decreasing their SB. Inverse intervention effects were however found for MPA and VPA of children. These results are unique given their magnitude and clinical relevance. Targeting fathers together with their children might be a novel and potential intervention strategy to improve overall physical activity levels, however, further efforts should however be made to target children's MPA and VPA. Last, replicating these findings in a randomized controlled trial (RCT) is recommended for future research. TRIAL REGISTRATION NUMBER This study is registered as a clinical trial (clinicaltrials.gov, ID number: NCT04590755, date: 19/10/2020).
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Affiliation(s)
- Julie Latomme
- Department of Movement and Sports Sciences, Ghent University, 9000, Ghent, Belgium.
| | - Philip J. Morgan
- grid.266842.c0000 0000 8831 109XPRCPAN (Priority Research Centre for Physical Activity and Nutrition), School of Education, University of Newcastle, 2308 Newcastle, Australia
| | - Sebastien Chastin
- grid.5214.20000 0001 0669 8188Department of Physiotherapy and Paramedicine, School of Health and Life Sciences, Glasgow Caledonian University, Scotland, UK
| | - Ruben Brondeel
- grid.5342.00000 0001 2069 7798Department of Movement and Sports Sciences, Ghent University, 9000 Ghent, Belgium
| | - Greet Cardon
- grid.5342.00000 0001 2069 7798Department of Movement and Sports Sciences, Ghent University, 9000 Ghent, Belgium
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Crane M, Cobbold A, Beck M, Nau T, Standen C, Rissel C, Smith BJ, Greaves S, Bellew W, Bauman A. Interventions Designed to Support Physical Activity and Disease Prevention for Working from Home: A Scoping Review. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2022; 20:73. [PMID: 36612407 PMCID: PMC9819910 DOI: 10.3390/ijerph20010073] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 10/28/2022] [Revised: 12/08/2022] [Accepted: 12/19/2022] [Indexed: 06/17/2023]
Abstract
Working from home (WfH) has public health implications including changes to physical activity (PA) and sedentary behavior (SB). We reviewed published and grey literature for interventions designed to support PA or reduce SB in WfH contexts. From 1355 published and grey literature documents since 2010, we screened 136 eligible documents and extracted ten intervention studies. Interventions designed specifically for WfH were limited and included structured exercise programs, infrastructure (e.g., sit-stand workstations), online behavioral and educational programs, health professional advice and peer support, activity trackers and reminder prompts. Evidence of interventions to improve PA and reduce SB in WfH contexts is emergent but lacking in variety and in utilization of local environments to promote good health. Evidence is needed on the adaptation of existing workplace interventions for home environments and exploration of opportunities to support PA through alternative interventions, such as urban planning and recreational strategies.
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Affiliation(s)
- Melanie Crane
- Prevention Research Collaboration, Sydney School of Public Health, The Charles Perkins Centre, The University of Sydney, Camperdown, Sydney, NSW 2006, Australia
| | - Alec Cobbold
- Prevention Research Collaboration, Sydney School of Public Health, The Charles Perkins Centre, The University of Sydney, Camperdown, Sydney, NSW 2006, Australia
| | - Matthew Beck
- Institute of Transport and Logistics Studies, The University of Sydney Business School, The University of Sydney, Darlington, Sydney, NSW 2006, Australia
| | - Tracy Nau
- Prevention Research Collaboration, Sydney School of Public Health, The Charles Perkins Centre, The University of Sydney, Camperdown, Sydney, NSW 2006, Australia
| | - Christopher Standen
- Centre for Primary Health Care and Equity, School of Population Health, UNSW Sydney, Sydney, NSW 2052, Australia
- Health Equity Research and Development Unit, Sydney Local Health District, Camperdown, Sydney, NSW 2006, Australia
| | - Chris Rissel
- Prevention Research Collaboration, Sydney School of Public Health, The Charles Perkins Centre, The University of Sydney, Camperdown, Sydney, NSW 2006, Australia
- College of Medicine and Public Health, Flinders University, Sturt Rd, Adelaide, SA 5024, Australia
| | - Ben J. Smith
- Prevention Research Collaboration, Sydney School of Public Health, The Charles Perkins Centre, The University of Sydney, Camperdown, Sydney, NSW 2006, Australia
- Western Sydney Local Health District, Westmead Hospital, Westmead, Sydney, NSW 2145, Australia
| | - Stephen Greaves
- Institute of Transport and Logistics Studies, The University of Sydney Business School, The University of Sydney, Darlington, Sydney, NSW 2006, Australia
| | - William Bellew
- Prevention Research Collaboration, Sydney School of Public Health, The Charles Perkins Centre, The University of Sydney, Camperdown, Sydney, NSW 2006, Australia
| | - Adrian Bauman
- Prevention Research Collaboration, Sydney School of Public Health, The Charles Perkins Centre, The University of Sydney, Camperdown, Sydney, NSW 2006, Australia
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Yu Y, Niu R, Zhao F, Zhao Y, Wang J, Wang J, Cao Q, Fu R, Nateghahmadi MH, Sun Z. Moderate exercise relieves fluoride-induced liver and kidney inflammatory responses through the IKKβ/NFκB pathway. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH INTERNATIONAL 2022; 29:78429-78443. [PMID: 35688983 DOI: 10.1007/s11356-022-21360-1] [Citation(s) in RCA: 13] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/11/2022] [Accepted: 06/05/2022] [Indexed: 06/15/2023]
Abstract
With the intensification of environmental pollution, the content of fluoride is increasing in human and animal living environments. Long-term fluoride exposure can cause damage to the liver and kidney, which are the main sites for fluoride metabolism, storage and removal. Moreover, exercise often accompanies the entire process of fluoride exposure in humans and animals. However, the mechanism of exercise on fluoride-induced liver and kidney injury remains unclear. Hence, we established a fluoride exposure and/or exercise mouse model to explore the influence of exercise on fluoride-induced liver and kidney inflammation and the potential mechanism. The results showed that fluoride caused obvious structural and functional damage and the notable recruitment of immunocytes in the liver and kidney. In addition, fluoride increased the levels of IL-1β, IL-2, IL-4, IL-6, IL-10, IL-12, IL-13, IL-21, TNF-α, and TGF-β but decreased the ratio of IFN-γ/IL-4 and IL-2/IL-10, which indicated that fluoride disturbed the inflammatory balance and caused hepatonephritis. In addition, the expression levels of IKKβ and NFκB were increased, and the expression of IκBα was decreased after fluoride exposure, indicating that fluoride activated the IKKβ/NFκB pathway. In summary, long-term moderate treadmill exercise relieved fluoride-induced liver and kidney inflammatory responses through the IKKβ/NFκB pathway, and exercise can be used to prevent fluoride-induced liver and kidney damage.
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Affiliation(s)
- Yanghuan Yu
- Shanxi Key Laboratory of Ecological Animal Science and Environmental Veterinary Medicine, College of Veterinary Medicne, Shanxi Agricultural University, Jinzhong, 030801, Shanxi, China
| | - Ruiyan Niu
- Shanxi Key Laboratory of Ecological Animal Science and Environmental Veterinary Medicine, College of Veterinary Medicne, Shanxi Agricultural University, Jinzhong, 030801, Shanxi, China
| | - Fangye Zhao
- Department of Sport, Shanxi Agricultural University, Jinzhong, 030801, Shanxi, China
| | - Yangfei Zhao
- Shanxi Key Laboratory of Ecological Animal Science and Environmental Veterinary Medicine, College of Veterinary Medicne, Shanxi Agricultural University, Jinzhong, 030801, Shanxi, China
| | - Jinglu Wang
- Shanxi Key Laboratory of Ecological Animal Science and Environmental Veterinary Medicine, College of Veterinary Medicne, Shanxi Agricultural University, Jinzhong, 030801, Shanxi, China
| | - Jixiang Wang
- Shanxi Key Laboratory of Ecological Animal Science and Environmental Veterinary Medicine, College of Veterinary Medicne, Shanxi Agricultural University, Jinzhong, 030801, Shanxi, China
| | - Qiqi Cao
- Shanxi Key Laboratory of Ecological Animal Science and Environmental Veterinary Medicine, College of Veterinary Medicne, Shanxi Agricultural University, Jinzhong, 030801, Shanxi, China
| | - Rong Fu
- Shanxi Key Laboratory of Ecological Animal Science and Environmental Veterinary Medicine, College of Veterinary Medicne, Shanxi Agricultural University, Jinzhong, 030801, Shanxi, China
| | - Mohammad Hassan Nateghahmadi
- Shanxi Key Laboratory of Ecological Animal Science and Environmental Veterinary Medicine, College of Veterinary Medicne, Shanxi Agricultural University, Jinzhong, 030801, Shanxi, China
| | - Zilong Sun
- Shanxi Key Laboratory of Ecological Animal Science and Environmental Veterinary Medicine, College of Veterinary Medicne, Shanxi Agricultural University, Jinzhong, 030801, Shanxi, China.
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Kumar S, Kant R, Yadav P, Kumar B. Effect of non-pharmacological interventions on adults with cardiovascular risk in a rural community. J Family Med Prim Care 2022; 11:5521-5526. [PMID: 36505636 PMCID: PMC9730992 DOI: 10.4103/jfmpc.jfmpc_2472_21] [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: 12/24/2021] [Revised: 06/10/2022] [Accepted: 06/20/2022] [Indexed: 12/15/2022] Open
Abstract
Background Non-communicable diseases (NCDs) are the leading cause of morbidity and mortality worldwide, with three-fourth of deaths occurring in low- and middle-income countries (LMICs) like India. Currently, three out of the top five causes of morbidity and mortality in the country are NCDs. Objective This study evaluated the impact of non-pharmacological interventions as a comprehensive approach toward adults with cardiovascular risk in Indian rural communities. Material and Methods It was a quasi-experimental study conducted in Rishikesh, a holy city of Uttarakhand known as the world's yoga capital at the foothills of Himalaya. Out of 87 villages, four villages were randomly selected. Eighty-eight participants were enrolled (22 from each village and household). It was a multi-stage random sampling. All the participants with cardiovascular risk and age >30 years were recruited. Pregnant, severely ill, and unwilling to consent were excluded. Non-pharmacological intervention as a comprehensive approach, including yoga, meditation, mental health counseling, dietary counseling, tobacco, and alcohol cessation counseling has been provided to cardiovascular risk participants. Results Data of 76 participants were analyzed as the per-protocol analysis method. The drop-out rate was 13.63%. Male and female participants were 52 (68.4%) and 24 (31.6%) in number. Mean age of the participants was 55.28 ± 13.64 years. Diastolic blood pressure or DBP (P = 0.017*), systolic blood pressure or SBP (P = 0.008**), waist circumference (WC) (P = 0.000**), waist-to-hip ratio (P = 0.000**) and waist-to-height ratio (P = 0.000**) significantly improved in the post intervention group. Conclusion Non-pharmacological interventions as a comprehensive approach can significantly reduce modifiable risk factors for cardio-metabolic disease.
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Affiliation(s)
- Santosh Kumar
- Department of Community and Family Medicine, All India Institute of Medical Sciences, Rishikesh, Uttarakhand, India
| | - Ravi Kant
- Department of Medicine, All India Institute of Medical Sciences, Rishikesh, Uttarakhand, India
| | - Poonam Yadav
- College of Nursing, All India Institute of Medical Sciences, Rishikesh, Uttarakhand, India,Address for correspondence: Mrs. Poonam Yadav, Ph. D. Scholar, College of Nursing, All India Institute of Medical Sciences, Rishikesh, Uttrakhand, India. E-mail:
| | - Barun Kumar
- Department of Cardiology, All India Institute of Medical Sciences, Rishikesh, Uttarakhand, India
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Mugler N, Baurecht H, Lam K, Leitzmann M, Jochem C. The Effectiveness of Interventions to Reduce Sedentary Time in Different Target Groups and Settings in Germany: Systematic Review, Meta-Analysis and Recommendations on Interventions. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2022; 19:10178. [PMID: 36011821 PMCID: PMC9408392 DOI: 10.3390/ijerph191610178] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 07/08/2022] [Revised: 08/07/2022] [Accepted: 08/11/2022] [Indexed: 06/15/2023]
Abstract
BACKGROUND Sedentary behavior is an important risk factor for several chronic diseases and is associated with an increased risk of mortality. We assessed the effectiveness of interventions to reduce sedentary time in Germany and provide recommendations on interventions to reduce sedentary time in children and adults. METHODS We comprehensively searched PubMed, Web of Science and the German Clinical Trials Register up to April 2022 for intervention studies targeting sedentary behavior in Germany. We performed a systematic review and qualitative synthesis of the interventions and a meta-analysis in children. RESULTS We included 15 studies comprising data from 4588 participants. The results of included primary studies in adults and children showed inconsistent evidence regarding change in sedentary time, with a majority of studies reporting non-significant intervention effects. The meta-analysis in children showed an increase in sedentary time for children in the control and intervention groups. CONCLUSION We found inconsistent evidence regarding the effectiveness of interventions to reduce time spent sedentary and our meta-analysis showed an increase in sedentary time in children. For children, we recommend physical and social environment interventions with an active involvement of families. For adults, we recommend physical environment interventions, such as height-adjustable desks at work.
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Koeder C, Kranz RM, Anand C, Husain S, Alzughayyar D, Schoch N, Hahn A, Englert H. Effect of a 1-Year Controlled Lifestyle Intervention on Body Weight and Other Risk Markers (the Healthy Lifestyle Community Programme, Cohort 2). Obes Facts 2022; 15:228-239. [PMID: 34923493 PMCID: PMC9021650 DOI: 10.1159/000521164] [Citation(s) in RCA: 13] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/10/2021] [Accepted: 11/23/2021] [Indexed: 11/19/2022] Open
Abstract
INTRODUCTION The prevalence of obesity is high and increasing worldwide. Obesity is generally associated with an increased risk of chronic disease and mortality. The objective of the study was to test the effect of a lifestyle intervention on body weight and other chronic disease risk markers. METHODS A non-randomized controlled trial was conducted, including mostly middle-aged and elderly participants recruited from the general population in rural northwest Germany (intervention: n = 114; control: n = 87). The intervention consisted of a 1-year lifestyle programme, focussing on four key areas: a largely plant-based diet (strongest emphasis), physical activity, stress management, and community support. Parameters were assessed at baseline, 10 weeks, 6 months, and 1 year. The control group received no intervention. RESULTS Compared to the control, in the intervention group, significantly lower 1-year trajectories were observed for body weight, body mass index (BMI), waist circumference (WC), total cholesterol, calculated LDL cholesterol, non-HDL cholesterol, remnant cholesterol (REM-C), glucose, HbA1c, and resting heart rate (RHR). However, between-group differences at 1 year were small for glucose, HbA1c, and cholesterol (apart from REM-C). No significant between-group differences were found for 1-year trajectories of measured LDL cholesterol, HDL cholesterol, triglycerides, insulin, blood pressure, and pulse pressure. CONCLUSION The intervention successfully reduced body weight, BMI, WC, REM-C, and RHR. However, at 1 year, effectiveness of the intervention regarding other risk markers was either very modest or could not be shown.
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Affiliation(s)
- Christian Koeder
- Institute of Food Science and Human Nutrition, Leibniz University Hannover, Hannover, Germany
- Department of Nutrition, University of Applied Sciences Münster, Münster, Germany
- *Christian Koeder,
| | - Ragna-Marie Kranz
- Department of Nutrition, University of Applied Sciences Münster, Münster, Germany
| | - Corinna Anand
- Department of Nutrition, University of Applied Sciences Münster, Münster, Germany
| | - Sarah Husain
- Department of Nutrition, University of Applied Sciences Münster, Münster, Germany
| | - Dima Alzughayyar
- Department of Nutrition, University of Applied Sciences Münster, Münster, Germany
| | - Nora Schoch
- Department of Nutrition, University of Applied Sciences Münster, Münster, Germany
| | - Andreas Hahn
- Institute of Food Science and Human Nutrition, Leibniz University Hannover, Hannover, Germany
| | - Heike Englert
- Department of Nutrition, University of Applied Sciences Münster, Münster, Germany
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Rohwer A, Taylor M, Ryan R, Garner P, Oliver S. Enhancing Public Health Systematic Reviews With Diagram Visualization. Am J Public Health 2021; 111:1029-1034. [PMID: 33950720 PMCID: PMC8101596 DOI: 10.2105/ajph.2021.306225] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 02/07/2021] [Indexed: 11/04/2022]
Affiliation(s)
- Anke Rohwer
- Anke Rohwer is with the Centre for Evidence-Based Health Care, Stellenbosch University, Stellenbosch, South Africa. Melissa Taylor and Paul Garner are with the Department of Clinical Sciences, Liverpool School of Tropical Medicine, Liverpool, UK. Rebecca Ryan is with the Centre for Health Communication and Participation, La Trobe University, Melbourne, Australia. Sandy Oliver is with the Evidence for Policy and Practice Information and Co-ordinating Centre, Social Research Institute, University College London, London, UK, and the Africa Centre for Evidence, University of Johannesburg, Johannesburg, South Africa
| | - Melissa Taylor
- Anke Rohwer is with the Centre for Evidence-Based Health Care, Stellenbosch University, Stellenbosch, South Africa. Melissa Taylor and Paul Garner are with the Department of Clinical Sciences, Liverpool School of Tropical Medicine, Liverpool, UK. Rebecca Ryan is with the Centre for Health Communication and Participation, La Trobe University, Melbourne, Australia. Sandy Oliver is with the Evidence for Policy and Practice Information and Co-ordinating Centre, Social Research Institute, University College London, London, UK, and the Africa Centre for Evidence, University of Johannesburg, Johannesburg, South Africa
| | - Rebecca Ryan
- Anke Rohwer is with the Centre for Evidence-Based Health Care, Stellenbosch University, Stellenbosch, South Africa. Melissa Taylor and Paul Garner are with the Department of Clinical Sciences, Liverpool School of Tropical Medicine, Liverpool, UK. Rebecca Ryan is with the Centre for Health Communication and Participation, La Trobe University, Melbourne, Australia. Sandy Oliver is with the Evidence for Policy and Practice Information and Co-ordinating Centre, Social Research Institute, University College London, London, UK, and the Africa Centre for Evidence, University of Johannesburg, Johannesburg, South Africa
| | - Paul Garner
- Anke Rohwer is with the Centre for Evidence-Based Health Care, Stellenbosch University, Stellenbosch, South Africa. Melissa Taylor and Paul Garner are with the Department of Clinical Sciences, Liverpool School of Tropical Medicine, Liverpool, UK. Rebecca Ryan is with the Centre for Health Communication and Participation, La Trobe University, Melbourne, Australia. Sandy Oliver is with the Evidence for Policy and Practice Information and Co-ordinating Centre, Social Research Institute, University College London, London, UK, and the Africa Centre for Evidence, University of Johannesburg, Johannesburg, South Africa
| | - Sandy Oliver
- Anke Rohwer is with the Centre for Evidence-Based Health Care, Stellenbosch University, Stellenbosch, South Africa. Melissa Taylor and Paul Garner are with the Department of Clinical Sciences, Liverpool School of Tropical Medicine, Liverpool, UK. Rebecca Ryan is with the Centre for Health Communication and Participation, La Trobe University, Melbourne, Australia. Sandy Oliver is with the Evidence for Policy and Practice Information and Co-ordinating Centre, Social Research Institute, University College London, London, UK, and the Africa Centre for Evidence, University of Johannesburg, Johannesburg, South Africa
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Murtagh EM, Murphy MH, Milton K, Roberts NW, O'Gorman CS, Foster C. Interventions outside the workplace for reducing sedentary behaviour in adults under 60 years of age. Cochrane Database Syst Rev 2020; 7:CD012554. [PMID: 32678471 PMCID: PMC7389819 DOI: 10.1002/14651858.cd012554.pub2] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/11/2023]
Abstract
BACKGROUND Adults spend a majority of their time outside the workplace being sedentary. Large amounts of sedentary behaviour increase the risk of type 2 diabetes, cardiovascular disease, and both all-cause and cardiovascular disease mortality. OBJECTIVES Primary • To assess effects on sedentary time of non-occupational interventions for reducing sedentary behaviour in adults under 60 years of age Secondary • To describe other health effects and adverse events or unintended consequences of these interventions • To determine whether specific components of interventions are associated with changes in sedentary behaviour • To identify if there are any differential effects of interventions based on health inequalities (e.g. age, sex, income, employment) SEARCH METHODS: We searched CENTRAL, MEDLINE, Embase, Cochrane Database of Systematic Reviews, CINAHL, PsycINFO, SportDiscus, and ClinicalTrials.gov on 14 April 2020. We checked references of included studies, conducted forward citation searching, and contacted authors in the field to identify additional studies. SELECTION CRITERIA We included randomised controlled trials (RCTs) and cluster RCTs of interventions outside the workplace for community-dwelling adults aged 18 to 59 years. We included studies only when the intervention had a specific aim or component to change sedentary behaviour. DATA COLLECTION AND ANALYSIS Two review authors independently screened titles/abstracts and full-text articles for study eligibility. Two review authors independently extracted data and assessed risk of bias. We contacted trial authors for additional information or data when required. We examined the following primary outcomes: device-measured sedentary time, self-report sitting time, self-report TV viewing time, and breaks in sedentary time. MAIN RESULTS We included 13 trials involving 1770 participants, all undertaken in high-income countries. Ten were RCTs and three were cluster RCTs. The mean age of study participants ranged from 20 to 41 years. A majority of participants were female. All interventions were delivered at the individual level. Intervention components included personal monitoring devices, information or education, counselling, and prompts to reduce sedentary behaviour. We judged no study to be at low risk of bias across all domains. Seven studies were at high risk of bias for blinding of outcome assessment due to use of self-report outcomes measures. Primary outcomes Interventions outside the workplace probably show little or no difference in device-measured sedentary time in the short term (mean difference (MD) -8.36 min/d, 95% confidence interval (CI) -27.12 to 10.40; 4 studies; I² = 0%; moderate-certainty evidence). We are uncertain whether interventions reduce device-measured sedentary time in the medium term (MD -51.37 min/d, 95% CI -126.34 to 23.59; 3 studies; I² = 84%; very low-certainty evidence) We are uncertain whether interventions outside the workplace reduce self-report sitting time in the short term (MD -64.12 min/d, 95% CI -260.91 to 132.67; I² = 86%; very low-certainty evidence). Interventions outside the workplace may show little or no difference in self-report TV viewing time in the medium term (MD -12.45 min/d, 95% CI -50.40 to 25.49; 2 studies; I² = 86%; low-certainty evidence) or in the long term (MD 0.30 min/d, 95% CI -0.63 to 1.23; 2 studies; I² = 0%; low-certainty evidence). It was not possible to pool the five studies that reported breaks in sedentary time given the variation in definitions used. Secondary outcomes Interventions outside the workplace probably have little or no difference on body mass index in the medium term (MD -0.25 kg/m², 95% CI -0.48 to -0.01; 3 studies; I² = 0%; moderate-certainty evidence). Interventions may have little or no difference in waist circumference in the medium term (MD -2.04 cm, 95% CI -9.06 to 4.98; 2 studies; I² = 65%; low-certainty evidence). Interventions probably have little or no difference on glucose in the short term (MD -0.18 mmol/L, 95% CI -0.30 to -0.06; 2 studies; I² = 0%; moderate-certainty evidence) and medium term (MD -0.08 mmol/L, 95% CI -0.21 to 0.05; 2 studies, I² = 0%; moderate-certainty evidence) Interventions outside the workplace may have little or no difference in device-measured MVPA in the short term (MD 1.99 min/d, 95% CI -4.27 to 8.25; 4 studies; I² = 23%; low-certainty evidence). We are uncertain whether interventions improve device-measured MVPA in the medium term (MD 6.59 min/d, 95% CI -7.35 to 20.53; 3 studies; I² = 70%; very low-certainty evidence). We are uncertain whether interventions outside the workplace improve self-reported light-intensity PA in the short-term (MD 156.32 min/d, 95% CI 34.34 to 278.31; 2 studies; I² = 79%; very low-certainty evidence). Interventions may have little or no difference on step count in the short-term (MD 226.90 steps/day, 95% CI -519.78 to 973.59; 3 studies; I² = 0%; low-certainty evidence) No data on adverse events or symptoms were reported in the included studies. AUTHORS' CONCLUSIONS Interventions outside the workplace to reduce sedentary behaviour probably lead to little or no difference in device-measured sedentary time in the short term, and we are uncertain if they reduce device-measured sedentary time in the medium term. We are uncertain whether interventions outside the workplace reduce self-reported sitting time in the short term. Interventions outside the workplace may result in little or no difference in self-report TV viewing time in the medium or long term. The certainty of evidence is moderate to very low, mainly due to concerns about risk of bias, inconsistent findings, and imprecise results. Future studies should be of longer duration; should recruit participants from varying age, socioeconomic, or ethnic groups; and should gather quality of life, cost-effectiveness, and adverse event data. We strongly recommend that standard methods of data preparation and analysis are adopted to allow comparison of the effects of interventions to reduce sedentary behaviour.
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Affiliation(s)
- Elaine M Murtagh
- Department of Physical Education and Sport Sciences, University of Limerick, Limerick, Ireland
- Physical Activity for Health Research Cluster, Health Research Institute (HRI), University of Limerick, Limerick, Ireland
| | - Marie H Murphy
- Sport & Exercise Sciences Research Institute, University of Ulster, Newtownabbey, UK
- Doctoral College, University of Ulster, Newtownabbey, UK
| | - Karen Milton
- Norwich Medical School, University of East Anglia, Norwich, UK
| | - Nia W Roberts
- Bodleian Health Care Libraries, University of Oxford, Oxford, UK
| | - Clodagh Sm O'Gorman
- Graduate Entry Medical School, Faculty of Education and Health Sciences, University of Limerick, Limerick, Ireland
| | - Charles Foster
- Centre for Exercise Nutrition and Health Sciences, School for Policy Studies, University of Bristol, Bristol, UK
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