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Johnson M, Braun S, Hecimovich M, Schultz K, Bauer C, Bohn A, Janot J. Risk of metabolic syndrome among law enforcement officers due to physical activity and posture behaviors. J Occup Health 2024; 66:uiad005. [PMID: 38258937 PMCID: PMC11020259 DOI: 10.1093/joccuh/uiad005] [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: 10/17/2022] [Revised: 08/27/2023] [Accepted: 10/03/2023] [Indexed: 01/24/2024] Open
Abstract
BACKGROUND There are limited data on objectively measured activity and postural behaviors of law enforcement officers (LEOs) in relation to risk of metabolic syndrome (MetS). OBJECTIVES To examine the associations between objectively measured activity and postural behaviors and MetS risk among LEOs. METHODS Thirty-one LEOs, mean (SD) age 33 (10) years, participated in the study. LEOs had their metabolic risk factors measured using blood samples after fasting for at least 10 hours prior to testing. Participants wore activity-monitoring devices for 7 consecutive days during on-duty and off-duty shifts. Eighteen participants adhered to wearing the devices. Descriptive statistics were used to determine means for all MetS risk factors; time in intensity-specific physical activity behaviors; and time in various postural shifts. Correlation analyses were employed to examine relationships between activity behaviors, postures, and MetS risk factors. RESULTS Over half (51.6%; n = 16) of the participants had 2 or more positive MetS risk factors. Mean (SD) on-duty sedentary behavior was 273 (59) minutes compared with off-duty sedentary behavior of 401 (146) minutes. Mean on-duty moderate-intensity activity was 236 (40) minutes compared with off-duty moderate-intensity activity of 305 (80) minutes. Average on-duty sitting time was 435 (69) minutes compared with off-duty sitting time of 528 (142) minutes. Average on-duty standing time was 116 (43) minutes compared with off-duty standing time of 171 (51) minutes. There were negative correlations between on-duty sedentary activity and Systolic Blood Pressure (r = -0.48) and Diastolic Blood Pressure (r = -0.48), respectively. CONCLUSIONS Law enforcement officers have unfavorable activity and postural behaviors during a typical day regardless of working status and may be at risk for developing MetS.
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Affiliation(s)
- Marquell Johnson
- Department of Kinesiology, McPhee Physical Education Center 221, University of Wisconsin Eau Claire, 105 Garfield Avenue, P.O. Box 4004, Eau Claire, Wisconsin 54702, United States
| | - Saori Braun
- Department of Kinesiology, McPhee Physical Education Center 221, University of Wisconsin Eau Claire, 105 Garfield Avenue, P.O. Box 4004, Eau Claire, Wisconsin 54702, United States
| | - Michelle Hecimovich
- Department of Kinesiology, McPhee Physical Education Center 221, University of Wisconsin Eau Claire, 105 Garfield Avenue, P.O. Box 4004, Eau Claire, Wisconsin 54702, United States
| | - Katrina Schultz
- Department of Kinesiology, McPhee Physical Education Center 221, University of Wisconsin Eau Claire, 105 Garfield Avenue, P.O. Box 4004, Eau Claire, Wisconsin 54702, United States
| | - Chantal Bauer
- Department of Kinesiology, McPhee Physical Education Center 221, University of Wisconsin Eau Claire, 105 Garfield Avenue, P.O. Box 4004, Eau Claire, Wisconsin 54702, United States
| | - Anna Bohn
- Department of Kinesiology, McPhee Physical Education Center 221, University of Wisconsin Eau Claire, 105 Garfield Avenue, P.O. Box 4004, Eau Claire, Wisconsin 54702, United States
| | - Jeff Janot
- Department of Kinesiology, McPhee Physical Education Center 221, University of Wisconsin Eau Claire, 105 Garfield Avenue, P.O. Box 4004, Eau Claire, Wisconsin 54702, United States
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Dicks ND, Shoemaker ME, DeShaw KJ, Carper MJ, Hackney KJ, Barry AM. Contributions from incumbent police officer's physical activity and body composition to occupational assessment performance. Front Public Health 2023; 11:1217187. [PMID: 37415704 PMCID: PMC10321756 DOI: 10.3389/fpubh.2023.1217187] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/05/2023] [Accepted: 06/05/2023] [Indexed: 07/08/2023] Open
Abstract
Introduction Police officers must perform various tasks in unpredictable work environments and potentially volatile situations. This study aimed to determine if cardiovascular fitness, body composition, and physical activity levels could predict performance in a Midwest Police Department's Physical Readiness Assessment (PRA). Methods Researchers collected data from thirty incumbent police officers (33.9 ± 8.3 years, female = 5). Anthropometric data included height, body mass, body fat percentage (BF%), fat-free mass (FFM), and maximal hand grip strength. The police officers also completed a physical activity rating (PA-R) scale to estimate maximal oxygen consumption (V ˙ O2max) and the International Physical Activity Questionnaire (IPAQ). Police officers then conducted their department's PRA. Stepwise linear regression analyses were used to determine the relationship between predictor variables and PRA performance. Pearson's product-moment correlations investigated relationships between anthropometric, physical fitness, and physical activity variables and PRA performance using SPSS (v.28). The significance level was set at p < 0.05. Results Descriptive data for the sample includes BF%: 27.85 ± 7.57%, FFM: 65.73 ± 10.72 kg, hand grip strength: 55.51 ± 11.07 kg, weekday sedentary time (WST): 328 ± 28.26 min, weekend day sedentary time (WDST): 310 ± 28.92 min, daily moderate-to-vigorous physical activity (MVPA): 29.02 ± 39.41 min, PRA: 273.6 ± 51.4 s and estimated V ˙ O2max: 43.26 ± 6.35 mL kg-1 min-1. The stepwise regression analyses indicated that BF% was predictive of PRA time (R2 = 0.32, p < 0.01); estimated V ˙ O2max predictive of PRA time (R2 = 0.45, p < 0.001). There were significant correlations between BF % and PRA time (r = 0.57, p < 0.001), PA-R and MVPA (r = 0.71, p < 0.001), %BF % and WDST (r = -0.606, p < 0.001), hand grip and FFM (r = 0.602, p < 0.001) and PA-R and PRA time (r = -0.36, p < 0.05). Discussion The results of this exploratory study highlight that higher estimated V ˙ O2max and lower BF% were the best predictors for faster PRA completion times, accounting for 45% and 32% of the variance, respectively. The findings of this study support the need for wellness and fitness initiatives in law enforcement agencies focused on increasing cardiovascular fitness and physical activity while decreasing BF% to ensure optimal performance in policing and overall health.
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Affiliation(s)
- Nathan D. Dicks
- Department of Health, Nutrition, and Exercise Sciences, North Dakota State University, Fargo, ND, United States
| | - Marni E. Shoemaker
- School of Health and Consumer Sciences, South Dakota State University, Brookings, SD, United States
| | | | - Michael J. Carper
- Department of Health, Human Performance, and Recreation, Pittsburg State University, Pittsburg, KS, United States
| | - Kyle J. Hackney
- Department of Health, Nutrition, and Exercise Sciences, North Dakota State University, Fargo, ND, United States
| | - Allison M. Barry
- School of Health and Consumer Sciences, South Dakota State University, Brookings, SD, United States
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Sergi TE, Bode KB, Hildebrand DA, Dawes JJ, Joyce JM. Relationship between Body Mass Index and Health and Occupational Performance among Law Enforcement Officers, Firefighters, and Military Personnel: A Systematic Review. Curr Dev Nutr 2023; 7:100020. [PMID: 37181120 PMCID: PMC10100923 DOI: 10.1016/j.cdnut.2022.100020] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/22/2022] [Revised: 12/01/2022] [Accepted: 12/04/2022] [Indexed: 12/26/2022] Open
Abstract
The prevalence of overweight and obesity among tactical populations is estimated at 70%-75%, which may negatively impact health and performance. The relationship between BMI and health and performance is well established among the general population, however, literature on such relationships among tactical populations has yet to be reviewed and evaluated. The purpose of this study was to systematically review available literature on the relationship between BMI and health and occupational performance among law enforcement officer, firefighters, and military personnel. After reviewing the literature, 27 articles were included. Nine studies found BMI was positively associated with cardiovascular disease (CVD) risk factors. Studies involving BMI and cancer were lacking. One study found BMI was positively associated with type 2 diabetes (T2DM) risk. Five studies on occupational/physical performance and 12 studies on injury found a higher BMI was often indicative of decreased performance and increased risk of injury in general, but protective against stress fractures. Overall, higher BMI was often associated with negative health and performance outcomes among tactical populations, especially when beyond the overweight classification. Public health practitioners should focus efforts on improving nutrition and physical activity to promote a healthy BMI among these individuals.
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Affiliation(s)
- Tina E. Sergi
- Department of Nutritional Sciences, Oklahoma State University, Stillwater, OK, USA
- Tactical Fitness and Nutrition Lab, Oklahoma State University, Stillwater, OK, USA
| | - Katherine B. Bode
- Department of Nutritional Sciences, Oklahoma State University, Stillwater, OK, USA
- Tactical Fitness and Nutrition Lab, Oklahoma State University, Stillwater, OK, USA
| | - Deana A. Hildebrand
- Department of Nutritional Sciences, Oklahoma State University, Stillwater, OK, USA
| | - J Jay Dawes
- Tactical Fitness and Nutrition Lab, Oklahoma State University, Stillwater, OK, USA
- Department of Kinesiology, Applied Health, and Recreation, Oklahoma State University, Stillwater, OK, USA
| | - Jillian M. Joyce
- Department of Nutritional Sciences, Oklahoma State University, Stillwater, OK, USA
- Tactical Fitness and Nutrition Lab, Oklahoma State University, Stillwater, OK, USA
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Barbosa WG, Saint Martin DR, Soares EDMKVKS, Fontana KE, Lan FY, Kales SN, Molina GE, Porto LGG. The effects of a 6-month mandatory military police academy training on recruits’ physical fitness. Work 2022; 73:1297-1306. [DOI: 10.3233/wor-210031] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022] Open
Abstract
BACKGROUND: Physical fitness for health and professional performance play important roles in police workforce considering that policing is a dangerous job, associated with high physical demands. OBJECTIVES: (1) To evaluate the effects of a 6-month course of police academy training on health-related physical fitness (HRPF) of military police recruits. (2) To investigate whether recruits’ HRPF still met the academy entry standards after an unsupervised 7-month period prior to academy. METHODS: We conducted an observational and longitudinal study with 219 male police recruits (aged 25.5±3.6 years; BMI of 24.4±2.5 kg/m2). HRPF parameters included the Cooper 12-min running test for cardiorespiratory fitness (CRF), curl-ups, pull-ups and push-ups for muscle strength/endurance which were evaluated 3 times: 7 months prior to academy course and pre- and post- the academy training period. RESULTS: Participants maintained optimal age-related HRPF during the unsupervised period prior to academy. After academy training upon graduation, all HRPF parameters further increased an average of 7.7 to 69.0% (p < 0.001; calculated Cohen’s d effect size ≥0.95). CRF was the only HRPF that improved less than 10% after the academy course. CONCLUSIONS: Police recruits that had passed the application fitness standards maintained their HRPF prior to academy, and all their HRPF parameters increased after a 6-month academy training period which was not primarily focused on exercise training. Among all components of HRPF, CRF appears to be the most challenging one to improve among police recruits. Our findings suggest that regular training with minimum physical standards could be potentially beneficial to police officers’ health and career longevity.
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Affiliation(s)
- Wélere G. Barbosa
- Faculty of Physical Education, University of Brasilia, Brasilia, Brazil
- Police Tocantins State Military, Palmas, Brazil
| | | | | | | | - Fan-Yun Lan
- Department of Occupational and Environmental Medicine, National Cheng Kung University Hospital, College of Medicine, National Cheng Kung University, Tainan, Taiwan
- Department of Occupational Medicine, Cambridge Health Alliance, Harvard Medical School, Cambridge, MA, USA
| | - Stefanos N. Kales
- Department of Occupational Medicine, Cambridge Health Alliance, Harvard Medical School, Cambridge, MA, USA
- Department of Environmental Health, Harvard T. H. Chan School of Public Health, Harvard University, Boston, MA, USA
| | | | - Luiz Guilherme G. Porto
- Faculty of Physical Education, University of Brasilia, Brasilia, Brazil
- Department of Environmental Health, Harvard T. H. Chan School of Public Health, Harvard University, Boston, MA, USA
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Shin YA, Kim JH, Song R, Cha E. The Effects of Obesity and Physical Activity on Dyslipidemia in Persons With Type 2 Diabetes. THE ASIAN JOURNAL OF KINESIOLOGY 2022. [DOI: 10.15758/ajk.2022.24.3.52] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/05/2022] Open
Abstract
OBJECTIVES This study was conducted to examine the effect of obesity, and physical activity on the prevalence of dyslipidemia in persons with type 2 diabetes mellitus (T2DM).METHODS A cross-sectional , correlational design was used. Participants aged 20 years or older were recruited from a diabetes clinic affiliated with a university hospital. Body composition, blood glucose, glycated hemoglobin, and blood lipid level were measured in addition to self-reported physical activity. Final data analysis was conducted with 177 participants. The differences on physical activity measures and body composition between those with or without dyslipidemia were analyzed using independent t-tests. The associations between dyslipidemia and physical activity and obesity were assessed with the odds Ratio (OR) and 95% confidence intervals (CI) after adjusting potential confounding factors.RESULTS The participation rate of regular physical activity in T2DM patients was 55.9%. BMI and regular physical activity participation influenced the prevalence of dyslipidemia in persons with T2DM. The regular physical activity participation rate of T2DM patients without dyslipidemia was higher than that of T2DM patients with dyslipidemia (p<.05). Moreover, participation in regular physical activity decreased the risk of dyslipidemia prevalence (p<.05). With regard to body composition, T2DM patients with dyslipidemia had a higher body mass index (p<.01). As the body mass index 1 increased, odd ratio of the dyslipidemia prevalence increased 1.21 times (p<.05).CONCLUSIONS The risk of dyslipidemia in T2DM patients was influenced by BMI and participation in regular physical activity. Therefore, reducing obesity through regular physical activity will be a way to lower the prevalence of dyslipidemia in T2DM.
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Gonzalez DE, McAllister MJ, Waldman HS, Ferrando AA, Joyce J, Barringer ND, Dawes JJ, Kieffer AJ, Harvey T, Kerksick CM, Stout JR, Ziegenfuss TN, Zapp A, Tartar JL, Heileson JL, VanDusseldorp TA, Kalman DS, Campbell BI, Antonio J, Kreider RB. International society of sports nutrition position stand: tactical athlete nutrition. J Int Soc Sports Nutr 2022; 19:267-315. [PMID: 35813846 PMCID: PMC9261739 DOI: 10.1080/15502783.2022.2086017] [Citation(s) in RCA: 14] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/26/2022] [Accepted: 06/01/2022] [Indexed: 10/26/2022] Open
Abstract
This position stand aims to provide an evidence-based summary of the energy and nutritional demands of tactical athletes to promote optimal health and performance while keeping in mind the unique challenges faced due to work schedules, job demands, and austere environments. After a critical analysis of the literature, the following nutritional guidelines represent the position of the International Society of Sports Nutrition (ISSN). General Recommendations Nutritional considerations should include the provision and timing of adequate calories, macronutrients, and fluid to meet daily needs as well as strategic nutritional supplementation to improve physical, cognitive, and occupational performance outcomes; reduce risk of injury, obesity, and cardiometabolic disease; reduce the potential for a fatal mistake; and promote occupational readiness. Military Recommendations Energy demands should be met by utilizing the Military Dietary Reference Intakes (MDRIs) established and codified in Army Regulation 40-25. Although research is somewhat limited, military personnel may also benefit from caffeine, creatine monohydrate, essential amino acids, protein, omega-3-fatty acids, beta-alanine, and L-tyrosine supplementation, especially during high-stress conditions. First Responder Recommendations Specific energy needs are unknown and may vary depending on occupation-specific tasks. It is likely the general caloric intake and macronutrient guidelines for recreational athletes or the Acceptable Macronutrient Distribution Ranges for the general healthy adult population may benefit first responders. Strategies such as implementing wellness policies, setting up supportive food environments, encouraging healthier food systems, and using community resources to offer evidence-based nutrition classes are inexpensive and potentially meaningful ways to improve physical activity and diet habits. The following provides a more detailed overview of the literature and recommendations for these populations.
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Affiliation(s)
- Drew E. Gonzalez
- Exercise & Sport Nutrition Laboratory, Human Clinical Research Facility, Department of Health & Kinesiology Texas A&M University, College Station, TX, USA
| | - Matthew J. McAllister
- Texas State University, Metabolic and Applied Physiology Laboratory, Department of Health & Human Performance, San Marcos, TX, USA
| | - Hunter S. Waldman
- University of North Alabama, Department of Kinesiology, Florence, AL, USA
| | - Arny A. Ferrando
- University of Arkansas for Medical Sciences, Department of Geriatrics, Little Rock, AR, USA
| | - Jill Joyce
- Oklahoma State University, Department of Nutritional Sciences, Stillwater, OK, USA
| | - Nicholas D. Barringer
- US. Army-Baylor Master’s Program in Nutrition, Department of Nutrition, San Antonio, TX, USA
| | - J. Jay Dawes
- Oklahoma State University, Department of Kinesiology, Applied Health, and Recreation, Stillwater, OK, USA
| | - Adam J. Kieffer
- Brooke Army Medical Center, Department of Nutritional Medicine, San Antonio, TX, USA
| | - Travis Harvey
- United States Special Operations Command, Preservation of the Force and Family, Tampa, FL, USA
| | - Chad M. Kerksick
- Lindenwood University, Exercise and Performance Nutrition Laboratory, College of Science, Technology, and Health, St. Charles, MO, USA
| | - Jeffrey R. Stout
- University of Central Florida, Institute of Exercise Physiology and Rehabilitation Sciences, School of Kinesiology and Physical Therapy, Orlando, FL, USA
| | | | | | - Jamie L. Tartar
- Nova Southeastern University, Department of Psychology and Neuroscience, Fort Lauderdale, FL, USA
| | - Jeffery L. Heileson
- Baylor University, Department of Health, Human Performance, and Recreation, Waco, TX, USA
| | | | - Douglas S. Kalman
- Dr. Kiran C Patel College of Osteopathic Medicine, Nova Southeastern University, Nutrition Department, Davie, FL, USA
| | - Bill I. Campbell
- University of South Florida, Performance & Physique Enhancement Laboratory, Exercise Science Program, Tampa, FL, USA
| | - Jose Antonio
- Fight Science Laboratory, Nova Southeastern University, Department of Health and Human Performance, Davie, FL, USA
| | - Richard B. Kreider
- Exercise & Sport Nutrition Laboratory, Human Clinical Research Facility, Department of Health & Kinesiology Texas A&M University, College Station, TX, USA
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High Intensity Functional Training (HIFT) Improves Fitness in Recruit Firefighters. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2021; 18:ijerph182413400. [PMID: 34949008 PMCID: PMC8704463 DOI: 10.3390/ijerph182413400] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Received: 11/26/2021] [Revised: 12/15/2021] [Accepted: 12/18/2021] [Indexed: 11/16/2022]
Abstract
BACKGROUND Firefighting is a strenuous profession requiring adequate levels of fitness for effective job performance. Providing firefighters with a safe and effective fitness program is essential for optimal performance. The purpose of this project was to examine changes in various parameters of physical fitness and firefighter ability following a 7-week high intensity functional training (HIFT) program. METHODS Participants were male firefighter recruits (N = 89; age = 27.1 ± 4.2 years, height = 1.78 ± 0.1 m, BMI = 28.1 ± 4.2) enrolled in a Basic Operations Firefighter Academy. Fitness and firefighting ability (via the Academy Firefighter Challenge) were assessed at Weeks 1 and 7 of the Academy. RESULTS Significant improvements in both fitness and firefighter ability were seen following the HIFT program. Specifically, fitness (BMI, cardiovascular fitness, muscular endurance) improved significantly [Hotelling's T2 = 8.98, F(5, 84) = 150.92, p < 0.001, η2p = 0.90]. Firefighter ability also improved significantly [Hotelling's T2 = 3.95, F(7, 88) = 46.26, p < 0.001, η2p = 0.80]. CONCLUSIONS Following a 7-week Basic Operations Firefighter Academy that included daily HIFT, significant increases in fitness and firefighting ability were observed. These findings suggest that HIFT appears to be an effective means of improving fitness and firefighting ability in recruit firefighters.
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Mumford EA, Liu W, Taylor BG, Ramey S. Profiles of US Law Enforcement Officers' Diagnosed Health Conditions: Results From a Probability-Based Sample of Officers. J Occup Environ Med 2021; 63:422-431. [PMID: 33560070 DOI: 10.1097/jom.0000000000002162] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/07/2023]
Abstract
OBJECTIVE To assess comorbidity across five common health conditions. METHODS Surveys were collected from a probability-based sample of US law enforcement officers, and latent class models estimated for hypertension (HTN), high blood cholesterol (LDL), diabetes (DM), a gastrointestinal disorder (GI), and sleep apnea (SA). RESULTS The majority of officers (69.4%) were classified in a Healthy profile. One in four officers (23.7%) were classified in a LDL-HTN-DM profile. About 7% of officers were classified in a GI-SA-HTN profile. Age, sex, body mass index (BMI), exercise, and working a rotating shift assignment distinguished class membership. CONCLUSION Most officers reported good health. Law enforcement administrative or clinical assessments using readily accessible measures might be informative in identifying risk categories of need for more targeted prevention and treatment support.
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Affiliation(s)
- Elizabeth A Mumford
- National Opinion Research Center at the University of Chicago, Bethesda, Maryland (Dr Mumford, Dr Liu, Dr Taylor); University of Iowa, Iowa City, Iowa (Dr Ramey)
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Gebreegziabiher G, Belachew T, Mehari K, Tamiru D. Magnitude and Associated Factors of Metabolic Syndrome Among Adult Urban Dwellers of Northern Ethiopia. Diabetes Metab Syndr Obes 2021; 14:589-600. [PMID: 33603424 PMCID: PMC7882458 DOI: 10.2147/dmso.s287281] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/22/2020] [Accepted: 01/27/2021] [Indexed: 12/11/2022] Open
Abstract
BACKGROUND Metabolic Syndrome (MetS) is becoming a big public health problem in developing countries like Ethiopia. Developing countries have an almost two-fold higher risk of death due to non-communicable diseases (NCDs) compared to high-income countries. This study aimed to assess the magnitude and factors associated with MetS among adult residents of Mekelle city. METHODS A population-based cross-sectional study was carried out among 266 randomly selected adults from July to September 2019. Data were collected on socio-demographic, clinical, anthropometric, and lifestyle characteristics using a structured questionnaire adapted from the WHO STEPs survey tool. Fasting Blood Glucose (FBG) and lipid profiles were tested using a blood sample. Bivariate and multivariable logistic regression analyses were used to identify factors associated with MetS and variables were considered statistically significant at p ≤0.05. RESULTS The findings of this study showed the magnitude of MetS was 21.8%. The proportion of MetS was relatively higher among women (24.6%) than men (18.5%). Raised blood pressure was the most prominent (42.5%) component of MetS followed by central obesity (41.7%). The magnitude of the other components of MetS was 38.0%, 21.4%, and 14.3% for elevated triglyceride, raised FBG, and low HDL-C, respectively. Advanced age, medium and high monthly income, walking less than 10 minutes per day, raised Body Mass Index (BMI), higher waist to hip ratio, and elevated total cholesterol were significantly associated with a higher risk of metabolic syndrome. CONCLUSION In this study, we found a high prevalence of metabolic syndrome and its components, which highlights an urgent need for a public health strategy for its prevention, early diagnosis, and management.
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Affiliation(s)
- Gebremedhin Gebreegziabiher
- Department of Human Nutrition, Adigrat University, Adigrat, Ethiopia
- Correspondence: Gebremedhin Gebreegziabiher Jimma University, P.O. Box: +251378, Addis Ababa, Ethiopia Email
| | - Tefera Belachew
- Department of Nutrition and Dietetics, Faculty of Public Health, Jimma University, Jimma, Ethiopia
| | | | - Dessalegn Tamiru
- Department of Nutrition and Dietetics, Faculty of Public Health, Jimma University, Jimma, Ethiopia
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Buckingham SA, Morrissey K, Williams AJ, Price L, Harrison J. The Physical Activity Wearables in the Police Force (PAW-Force) study: acceptability and impact. BMC Public Health 2020; 20:1645. [PMID: 33143665 PMCID: PMC7607613 DOI: 10.1186/s12889-020-09776-1] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/17/2020] [Accepted: 10/26/2020] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND Policing is a highly stressful and increasingly sedentary occupation. The study aim was to assess the acceptability and impact of a mobile health (mHealth) technology intervention (Fitbit® activity monitor and 'Bupa Boost' smartphone app) to promote physical activity (PA) and reduce sedentary time in the police force. METHODS Single-group, pre-post, mixed methods pilot study. Police officers and staff (n = 180) were recruited from two police forces in South West England. Participants used the technology for 12 weeks (an 'individual' then 'social' phase) followed by 5 months of optional use. Data sources included Fitbit®-recorded objective step count, questionnaire surveys and semi-structured interviews (n = 32). Outcome assessment points were baseline (week 0), mid-intervention (week 6), post-intervention (week 12) and follow-up (month 8). Paired t-tests were used to investigate changes in quantitative outcomes. Qualitative analysis involved framework and thematic analysis. RESULTS Changes in mean daily step count were non-significant (p > 0.05), but self-reported PA increased in the short term (e.g. + 465.4 MET-minutes/week total PA baseline to week 12, p = 0.011) and longer term (e.g. + 420.5 MET-minutes/week moderate-to-vigorous PA baseline to month 8, p = 0.024). The greatest impact on behaviour was perceived by less active officers and staff. There were no significant changes in sedentary time; the qualitative findings highlighted the importance of context and external influences on behaviour. There were no statistically significant changes (all p-values > 0.05) in any secondary outcomes (physical and mental health-related quality of life, perceived stress and perceived productivity), with the exception of an improvement in mental health-related quality of life (SF-12 mental component score + 1.75 points, p = 0.020) from baseline to month 8. Engagement with and perceived acceptability of the intervention was high overall, but a small number of participants reported negative physical (skin irritation) and psychological (feelings of guilt and anxiety) consequences of technology use. Individual app features (such as goal-setting and self-monitoring) were generally preferred to social components (social comparison, competitions and support). CONCLUSIONS mHealth technology is an acceptable and potentially impactful intervention for increasing PA in the police force. The intervention was less useful for reducing sedentary time and the impact on secondary outcomes is unclear. TRIAL REGISTRATION NCT03169179 (registered 30th May 2017).
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Affiliation(s)
- Sarah Ann Buckingham
- European Centre for Environment and Human Health, Knowledge Spa, Royal Cornwall Hospitals NHS Trust, University of Exeter Medical School, 2nd Floor Knowledge Spa, Royal Cornwall Hospital, Truro, TR1 3HD, UK.
| | - Karyn Morrissey
- European Centre for Environment and Human Health, Knowledge Spa, Royal Cornwall Hospitals NHS Trust, University of Exeter Medical School, 2nd Floor Knowledge Spa, Royal Cornwall Hospital, Truro, TR1 3HD, UK
| | - Andrew James Williams
- European Centre for Environment and Human Health, Knowledge Spa, Royal Cornwall Hospitals NHS Trust, University of Exeter Medical School, 2nd Floor Knowledge Spa, Royal Cornwall Hospital, Truro, TR1 3HD, UK.,Population and Behavioural Science, School of Medicine, University of St Andrews, St Andrews, UK
| | - Lisa Price
- Sport and Health Sciences, College of Life and Environmental Sciences, University of Exeter, Exeter, UK
| | - John Harrison
- Occupational Health Support Unit, Devon and Cornwall Police, Middlemoor, Exeter, UK
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Šoštarič A, Jenko B, Kozjek NR, Ovijač D, Šuput D, Milisav I, Dolžan V. Detection of metabolic syndrome burden in healthy young adults may enable timely introduction of disease prevention. Arch Med Sci 2019; 15:1184-1194. [PMID: 31572463 PMCID: PMC6764305 DOI: 10.5114/aoms.2019.87462] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/22/2017] [Accepted: 03/03/2018] [Indexed: 02/07/2023] Open
Abstract
INTRODUCTION Metabolic syndrome and associated diseases are a global health problem. Detection of early metabolic modifications that may lead to metabolic syndrome would enable timely introduction of preventive lifestyle modifications. MATERIAL AND METHODS In total 103 young, healthy adults were assessed for indicators of metabolic alterations. Anthropometric, lifestyle, genetic and biochemical parameters were assessed. Individuals who fulfilled at least one criterion for diagnosis of metabolic syndrome were assigned to the group with the higher metabolic syndrome burden (B-MeS). RESULTS The 34 young healthy individuals who were assigned to the B-MeS group had lower fat-free mass, higher body mass index, waist-to-hip ratio, fat mass, and blood pressure, more visceral fat, they were less physically active, had higher C-reactive protein values and higher catalase activity. Their phenotype was more similar to that of patients diagnosed with metabolic syndrome than the rest of the population. CONCLUSIONS Simple anthropometric measurements, lifestyle assessment and basic biochemical measurements can be used to identify young healthy individuals with increased risk for metabolic syndrome. These assessments can be performed at periodic check-ups of the healthy population so that timely diagnosis of B-MeS can be made. As lifestyle factors have a big influence on development or improvement of the MeS, the timely diagnosis for B-MeS would enable an early opportunity for intervention for lifestyle modification in the still healthy population, saving costs and reducing disability adjusted life years.
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Affiliation(s)
- Anja Šoštarič
- Faculty of Health Sciences, University of Ljubljana, Ljubljana, Slovenia
| | - Barbara Jenko
- Institute of Biochemistry, Faculty of Medicine, University of Ljubljana, Ljubljana, Slovenia
| | - Nada Rotovnik Kozjek
- Institute of Biochemistry, Faculty of Medicine, University of Ljubljana, Ljubljana, Slovenia
- Institute of Oncology, Ljubljana, Slovenia
| | - Darja Ovijač
- Faculty of Health Sciences, University of Ljubljana, Ljubljana, Slovenia
| | - Dušan Šuput
- Institute of Pathophysiology, Faculty of Medicine, University of Ljubljana, Ljubljana, Slovenia
| | - Irina Milisav
- Faculty of Health Sciences, University of Ljubljana, Ljubljana, Slovenia
- Institute of Pathophysiology, Faculty of Medicine, University of Ljubljana, Ljubljana, Slovenia
| | - Vita Dolžan
- Institute of Biochemistry, Faculty of Medicine, University of Ljubljana, Ljubljana, Slovenia
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MOTA JACOBA, KERR ZACHARYY, GERSTNER GENAR, GIULIANI HAYDENK, RYAN ERICD. Obesity Prevalence and Musculoskeletal Injury History in Probation Officers. Med Sci Sports Exerc 2019; 51:1860-1865. [DOI: 10.1249/mss.0000000000001996] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/21/2022]
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Zhang Y, Yang J, Ye J, Guo Q, Wang W, Sun Y, Zeng Q. Separate and combined associations of physical activity and obesity with lipid-related indices in non-diabetic and diabetic patients. Lipids Health Dis 2019; 18:49. [PMID: 30755212 PMCID: PMC6371482 DOI: 10.1186/s12944-019-0987-6] [Citation(s) in RCA: 19] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/15/2018] [Accepted: 01/24/2019] [Indexed: 11/17/2022] Open
Abstract
BACKGROUND This study evaluated the separate and combined associations of physical activity and obesity with blood lipids in Chinese adults with and without diabetes. METHODS Data of 17,535 participants aged 18 to 78 years old were collected. Physical activity was categorized as inactive (low) or active (moderate or high) according to the International Physical Activity Questionnaire. Linear and logistic regression analyses were performed to investigate the associations of physical activity and obesity with lipid-related indices. RESULTS Compared with physically active participants, inactive participants had higher triglyceride (TG) level, lower high-density lipoprotein cholesterol (HDL-C) level, and higher odds ratios for abnormal TG and HDL-C. Compared with non-obese participants, obese participants had higher levels of total cholesterol (TC), TG and low-density lipoprotein cholesterol (LDL-C), lower HDL-C level, and higher odds ratios for the four abnormal lipid indices. Inactive obese participants had highest levels of TC, TG and LDL-C, lowest HDL-C level, and highest odds ratios compared to the other groups. No significant associations were found between obesity and TC, LDL-C in patients with diabetes. CONCLUSIONS Irrespective of diabetes, physical inactivity and obesity were associated with the presences of abnormal TG and HDL-C. Moreover, there were additive effects on blood lipids when physical inactivity and obesity co-occur.
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Affiliation(s)
- Yongliang Zhang
- Institute of Health Management, Chinese PLA General Hospital, No.28, Fuxing Road, Haidian District, Beijing, 100853, People's Republic of China
- Research Center for Information Technology of Sports and Health, Institute of Intelligent Machines, Chinese Academy of Sciences, Hefei, 230031, Anhui, People's Republic of China
- National Clinical Research Center for Geriatric Diseases, Beijing, 100853, People's Republic of China
| | - Jian Yang
- Research Center for Information Technology of Sports and Health, Institute of Intelligent Machines, Chinese Academy of Sciences, Hefei, 230031, Anhui, People's Republic of China
- University of Science and Technology of China, Hefei, 230026, Anhui, People's Republic of China
| | - Jun Ye
- Research Center for Information Technology of Sports and Health, Institute of Intelligent Machines, Chinese Academy of Sciences, Hefei, 230031, Anhui, People's Republic of China
| | - Qiao Guo
- University of Science and Technology of China, Hefei, 230026, Anhui, People's Republic of China
| | - Weimin Wang
- Institute of Health Management, Chinese PLA General Hospital, No.28, Fuxing Road, Haidian District, Beijing, 100853, People's Republic of China
| | - Yining Sun
- Research Center for Information Technology of Sports and Health, Institute of Intelligent Machines, Chinese Academy of Sciences, Hefei, 230031, Anhui, People's Republic of China
| | - Qiang Zeng
- Institute of Health Management, Chinese PLA General Hospital, No.28, Fuxing Road, Haidian District, Beijing, 100853, People's Republic of China.
- National Clinical Research Center for Geriatric Diseases, Beijing, 100853, People's Republic of China.
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Sedentary Occupation Workers Who Meet the Physical Activity Recommendations Have a Reduced Risk for Metabolic Syndrome: A Cross-Sectional Study. J Occup Environ Med 2018; 59:1029-1033. [PMID: 28742767 DOI: 10.1097/jom.0000000000001104] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/20/2022]
Abstract
OBJECTIVE We tested the hypothesis that sedentary occupation workers who meet the physical activity recommendations present a lower risk for metabolic syndrome (MetS) than their nonactive counterparts. METHODS A cross-sectional study involving 502 sedentary occupation workers. Physical activity level was self-reported. MetS was defined by International Diabetes Federation criteria. RESULTS The active group showed lower odds for MetS [odds ratio (OR) 0.52, 95% confidence interval (95% CI) 0.27 to 0.98], abdominal obesity (OR 0.36, 95% CI 0.16 to 0.82), elevated blood pressure (OR 0.47, 95% CI 0.26 to 0.84), and reduced high-density lipoprotein cholesterol (OR 0.54, 95% CI 0.31 to 0.93) than the sedentary group after adjustments for age, time in job, body mass index, and tobacco use. CONCLUSIONS Sedentary occupation workers who meet the physical activity recommendations have a reduced risk for MetS.
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A cross-sectional investigation into the occupational and socio-demographic characteristics of British police force employees reporting a dietary pattern associated with cardiometabolic risk: findings from the Airwave Health Monitoring Study. Eur J Nutr 2017; 57:2913-2926. [PMID: 29098424 PMCID: PMC6267403 DOI: 10.1007/s00394-017-1562-4] [Citation(s) in RCA: 23] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/10/2017] [Accepted: 10/13/2017] [Indexed: 01/04/2023]
Abstract
Purpose The aims of this study were to (1) determine the association between diet quality using the Dietary Approaches to Stop Hypertension (DASH) score and cardiometabolic risk in a British working population and (2) identify employee characteristics associated with reporting a poorer quality dietary pattern. Methods British police employees enrolled (2007–2012) into the Airwave Health Monitoring Study (n = 5527) were included for sex-specific cross-sectional analyses. Dietary intakes were measured using 7-day food records. DASH score was calculated to determine diet quality. Logistic regression evaluated associations between (1) diet quality and increased cardiometabolic risk (defined as ≥ 3 risk markers: dyslipidaemia, elevated blood pressure, waist circumference, CRP or HbA1c), and (2) poor diet quality (lowest fifth of DASH score distribution) and employee characteristics. Results Employees recording a poor diet quality had greater odds (OR) of increased cardiometabolic risk independent of established risk factors (demographic, lifestyle and occupational) and BMI: men OR 1.50 (95% CI 1.12–2.00), women: OR 1.84 (95% CI 1.19–2.97) compared to the healthiest diet group. Characteristics associated with reporting a poor quality diet were employment in Scotland vs. England: men OR 1.88 (95% CI 1.53–2.32), women: OR 1.49 (95% CI 1.11–2.00), longer working hours (≥ 49 vs. ≤40 h) men: OR 1.53 (95% CI 1.21–1.92) women: OR 1.53 (95% CI 1.12–2.09). For men, job strain (high vs. low) was associated with reporting a poor diet quality OR 1.66 (95% CI 1.30–2.12). Conclusions The general population disparities in diet quality between England and Scotland were reflected in British police employees. The association of longer working hours and job strain with diet quality supports the targeting of workplace nutritional interventions. Electronic supplementary material The online version of this article (doi:10.1007/s00394-017-1562-4) contains supplementary material, which is available to authorized users.
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Association of body composition assessed by bioelectrical impedance analysis with metabolic risk factor clustering among middle-aged Chinese. Prev Med Rep 2017; 6:191-196. [PMID: 28367400 PMCID: PMC5369856 DOI: 10.1016/j.pmedr.2017.03.011] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/14/2016] [Revised: 02/25/2017] [Accepted: 03/20/2017] [Indexed: 12/25/2022] Open
Abstract
Body composition monitor (BCM) based on the bioelectric impedance analysis is very convenient to use. However, whether percentage body fat (PBF) and visceral fat index (VFI) that acquired by BCM are superior to anthropometric measures is unknown. The study explored whether PBF and VFI are better than anthropometric indexes [body mass index (BMI), waist circumference (WC) and waist circumference to height ratio(WHtR)] in predicating metabolic risk factor clustering in a representive sample across China which included 9574 Chinese men and women that were investigated in 2009–2010. PBF and VFI were compared with the BMI, WC, and WHtR through the area under the curve (AUC) of the receiver operating characteristic (ROC) curve and logistic regression. The results showed that the AUC for VFI was higher than BMI and PBF but lower than WHtR and WC in both men and Women. The AUC for WHtR, WC, VFI, BMI and PBF was 0.710, 0.706, 0.700, 0.693, 0.656 in men and 0.705, 0.699, 0.698, 0.675, 0.657 in women, respectively. After adjusting for the potential confounding factors, the odds ratios (ORs) tended to increase with all the indexes. The curve of ORs for WHtR was steepest and the curve for PBF was flattest in both men and women; the curve for VFI was similar to WC in women, but flatter than WC in men. From the data we concluded that VFI seems better than BMI and PBF, but not superior to WC and WHtR in predicating metabolic risk factor clustering in the middle-aged Chinese. Controversy remains with regard to the best index for diagnosis of obesity. A representive sample of 9574 middle-aged Chinese across China were analyzed. The value of Visceral fat index (VFI) and percentage body fat (PBF) were explored. VFI seems better than BMI and PBF in predicating metabolic risk factor clustering. VFI is not superior to WC and WHtR in predicating metabolic risk factor clustering.
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