1
|
Hsu KJ, Chen SC, Chien KY, Chen CN. Muscle Mass Adjusted by Body Height is not Correlated with Mobility of Middle-Aged and Older Adults. Curr Dev Nutr 2024; 8:104412. [PMID: 39157007 PMCID: PMC11327516 DOI: 10.1016/j.cdnut.2024.104412] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/01/2024] [Revised: 06/25/2024] [Accepted: 06/27/2024] [Indexed: 08/20/2024] Open
Abstract
Background Low muscle mass and obesity are associated with mobility disability, cardiometabolic diseases, and loss of independence. Three skeletal muscle indices (SMIs) are proposed to adjust the body size of individuals. However, it is unknown which index is better correlated with mobility. Additionally, it remains unclear whether low muscle mass or abdominal obesity has a greater impact on the mobility and cardiometabolic health of older adults. Objectives This study explored the association between different SMIs {appendicular skeletal muscle mass [ASM] adjusted by body height [Ht], body weight [Wt], or body mass index [BMI (kg/m2)]} and mobility/cardiometabolic health. The roles of low muscle mass and abdominal obesity in the mobility and cardiometabolic health of individuals were also identified. Methods Four-hundred and twenty-seven community-dwelling middle-aged and older adults underwent body composition assessments [dual-energy x-ray absorptiometry and waist circumference (WC)], grip strength, and mobility (timed up-and-go test and chair stand test). Spearman's rank correlation coefficient and regression models were used to examine research questions. This study was registered in the Thai Clinical Trials Registry (registration number: TCTR20210521007). Results All SMIs were positively correlated with the grip strength (ASM/Ht2: r = 0.392; ASM/Wt: r = 0.439; ASM/BMI: r = 0.569). Regarding mobility, only ASM/Ht2 wasn't relevant. After adjusting for age, sex, and WC, ASM/BMI was the only SMI associated with grip strength (β = 0.274). When age and sex were controlled, WC, but not SMI, was associated with mobility and cardiometabolic health. Conclusions ASM/Ht2 did not correlate with mobility in middle-aged and older adults, whereas ASM/Wt and ASM/BMI did. Abdominal obesity has a greater impact on mobility and cardiometabolic health than low muscle mass in middle-aged and older adults. We recommend using ASM/BMI to identify the low muscle mass of individuals. In addition, clinicians should note the important role of abdominal obesity when considering mobility in middle-aged and older adults.
Collapse
Affiliation(s)
- Kuo-Jen Hsu
- Department of Physical Therapy and Assistive Technology, School of Biomedical Science and Engineering, National Yang Ming Chiao Tung University, Taipei, Taiwan
| | - Shu-Chen Chen
- Department of Recreational Sports Management, Yu Da University of Science and Technology, Miaoli County, Taiwan
| | - Kuei-Yu Chien
- Graduate Institute of Sports Science, National Taiwan Sport University, Taoyuan, Taiwan
| | - Chiao-Nan Chen
- Department of Physical Therapy and Assistive Technology, School of Biomedical Science and Engineering, National Yang Ming Chiao Tung University, Taipei, Taiwan
| |
Collapse
|
2
|
Crisafulli O, Grattarola L, Bottoni G, Lacetera J, Lavaselli E, Beretta-Piccoli M, Tupler R, Soldini E, D’Antona G. Maximal Oxygen Consumption Is Negatively Associated with Fat Mass in Facioscapulohumeral Dystrophy. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2024; 21:979. [PMID: 39200589 PMCID: PMC11353994 DOI: 10.3390/ijerph21080979] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/24/2024] [Revised: 07/17/2024] [Accepted: 07/24/2024] [Indexed: 09/02/2024]
Abstract
Facioscapulohumeral dystrophy (FSHD) leads to progressive changes in body composition such as loss of muscle mass and increase in adiposity. In healthy subjects, anthropometric parameters are associated with the maximum volume of oxygen consumed per minute (VO2max), which is a health and function indicator in several populations of subjects, both healthy and pathological. Since VO2max can be difficult to test in patients with FSHD due to exercise intolerance, the identification of associated anthropometric parameters could provide new easily obtainable elements for the patients' clinical stratification. The aim of this study was to evaluate whether anthropometric and body composition parameters are associated with VO2max in patients with FSHD. A total of 22 subjects with a molecular genetics-based diagnosis of FSHD (6 females, 16 males, mean age of 35.18 years) were recruited for the study. VO2max was measured by cardiopulmonary exercise tests (CPETs) on a cycle ergometer, utilizing a step incremental technique (15 Watts (W) every 30 s). Weight (Kg) and height (m) were obtained and utilized to calculate body mass index (BMI). Body composition parameters (fat mass (FM), fat free mass (FFM), and body cell mass (BCM)) were obtained by bioelectrical impedance analysis (BIA). Significant negative associations were found between VO2max and FM (Spearman correlation coefficient (SCC) -0.712), BMI (SCC -0.673), age (SCC -0.480), and weight (SCC -0.634), unlike FFM and BCM. Our results indicate that FM, BMI, age, and body weight are negatively associated with VO2max in patients with FSHD. This evidence may help practitioners to better stratify patients with FSHD.
Collapse
Affiliation(s)
- Oscar Crisafulli
- CRIAMS-Sport Medicine Centre Voghera, University of Pavia, 27058 Voghera, Italy
| | - Luca Grattarola
- CRIAMS-Sport Medicine Centre Voghera, University of Pavia, 27058 Voghera, Italy
| | - Giorgio Bottoni
- CRIAMS-Sport Medicine Centre Voghera, University of Pavia, 27058 Voghera, Italy
| | - Jessica Lacetera
- CRIAMS-Sport Medicine Centre Voghera, University of Pavia, 27058 Voghera, Italy
| | - Emanuela Lavaselli
- CRIAMS-Sport Medicine Centre Voghera, University of Pavia, 27058 Voghera, Italy
| | - Matteo Beretta-Piccoli
- CRIAMS-Sport Medicine Centre Voghera, University of Pavia, 27058 Voghera, Italy
- Rehabilitation Research Laboratory 2rLab, Department of Business Economics, Health and Social Care, University of Applied Sciences and Arts of Southern Switzerland, 6928 Manno, Switzerland
| | - Rossella Tupler
- Department of Life Sciences, University of Modena and Reggio Emilia, 41125 Modena, Italy
| | - Emiliano Soldini
- Competence Centre for Healthcare Practices and Policies, Department of Business Economics, Health and Social Care, University of Applied Sciences and Arts of Southern Switzerland, 6928 Manno, Switzerland
| | - Giuseppe D’Antona
- CRIAMS-Sport Medicine Centre Voghera, University of Pavia, 27058 Voghera, Italy
- Department of Public Health, Experimental and Forensic Medicine, University of Pavia, 27058 Voghera, Italy
| |
Collapse
|
3
|
Milne RL, Fletcher AS, MacInnis RJ, Hodge AM, Hopkins AH, Bassett JK, Bruinsma FJ, Lynch BM, Dugué PA, Jayasekara H, Brinkman MT, Popowski LV, Baglietto L, Severi G, O'Dea K, Hopper JL, Southey MC, English DR, Giles GG. Cohort Profile: The Melbourne Collaborative Cohort Study (Health 2020). Int J Epidemiol 2018. [PMID: 28641380 DOI: 10.1093/ije/dyx085] [Citation(s) in RCA: 111] [Impact Index Per Article: 18.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/12/2022] Open
Affiliation(s)
- R L Milne
- Cancer Epidemiology & Intelligence Division, Cancer Council Victoria, Melbourne, VIC, Australia.,Centre for Epidemiology and Biostatistics, University of Melbourne, Parkville, VIC, Australia
| | - A S Fletcher
- Cancer Epidemiology & Intelligence Division, Cancer Council Victoria, Melbourne, VIC, Australia
| | - R J MacInnis
- Cancer Epidemiology & Intelligence Division, Cancer Council Victoria, Melbourne, VIC, Australia.,Centre for Epidemiology and Biostatistics, University of Melbourne, Parkville, VIC, Australia
| | - A M Hodge
- Cancer Epidemiology & Intelligence Division, Cancer Council Victoria, Melbourne, VIC, Australia
| | - A H Hopkins
- Cancer Epidemiology & Intelligence Division, Cancer Council Victoria, Melbourne, VIC, Australia
| | - J K Bassett
- Cancer Epidemiology & Intelligence Division, Cancer Council Victoria, Melbourne, VIC, Australia
| | - F J Bruinsma
- Cancer Epidemiology & Intelligence Division, Cancer Council Victoria, Melbourne, VIC, Australia
| | - B M Lynch
- Cancer Epidemiology & Intelligence Division, Cancer Council Victoria, Melbourne, VIC, Australia.,Centre for Epidemiology and Biostatistics, University of Melbourne, Parkville, VIC, Australia.,Physical Activity Laboratory, Baker IDI Heart and Diabetes Institute, Melbourne, VIC, Australia
| | - P A Dugué
- Cancer Epidemiology & Intelligence Division, Cancer Council Victoria, Melbourne, VIC, Australia.,Centre for Epidemiology and Biostatistics, University of Melbourne, Parkville, VIC, Australia
| | - H Jayasekara
- Cancer Epidemiology & Intelligence Division, Cancer Council Victoria, Melbourne, VIC, Australia.,Centre for Epidemiology and Biostatistics, University of Melbourne, Parkville, VIC, Australia
| | - M T Brinkman
- Cancer Epidemiology & Intelligence Division, Cancer Council Victoria, Melbourne, VIC, Australia
| | - L V Popowski
- Cancer Epidemiology & Intelligence Division, Cancer Council Victoria, Melbourne, VIC, Australia
| | - L Baglietto
- Cancer Epidemiology & Intelligence Division, Cancer Council Victoria, Melbourne, VIC, Australia.,Centre for Epidemiology and Biostatistics, University of Melbourne, Parkville, VIC, Australia.,Centre de Recherche en Épidémiologie et Santé des Populations, Université Paris-Saclay, Villejuif, France.,Department of Clinical and Experimental Medicine, University of Pisa, Pisa, Italy
| | - G Severi
- Cancer Epidemiology & Intelligence Division, Cancer Council Victoria, Melbourne, VIC, Australia.,Centre for Epidemiology and Biostatistics, University of Melbourne, Parkville, VIC, Australia.,Centre de Recherche en Épidémiologie et Santé des Populations, Université Paris-Saclay, Villejuif, France.,Human Genetics Foundation (HuGeF), Turin, Italy
| | - K O'Dea
- Cancer Epidemiology & Intelligence Division, Cancer Council Victoria, Melbourne, VIC, Australia.,Centre of Population Health Research, University of South Australia, Adelaide, SA, Australia
| | - J L Hopper
- Cancer Epidemiology & Intelligence Division, Cancer Council Victoria, Melbourne, VIC, Australia.,Centre for Epidemiology and Biostatistics, University of Melbourne, Parkville, VIC, Australia
| | - M C Southey
- Cancer Epidemiology & Intelligence Division, Cancer Council Victoria, Melbourne, VIC, Australia.,Genetic Epidemiology Laboratory, University of Melbourne, Parkville, VIC, Australia
| | - D R English
- Cancer Epidemiology & Intelligence Division, Cancer Council Victoria, Melbourne, VIC, Australia.,Centre for Epidemiology and Biostatistics, University of Melbourne, Parkville, VIC, Australia
| | - G G Giles
- Cancer Epidemiology & Intelligence Division, Cancer Council Victoria, Melbourne, VIC, Australia.,Centre for Epidemiology and Biostatistics, University of Melbourne, Parkville, VIC, Australia
| |
Collapse
|
4
|
Abstract
PURPOSE OF REVIEW To discuss recent progress in sarcopenia research and to highlight controversies in the field particularly around reaching consensus on a definition of sarcopenia. RECENT FINDINGS Accordingly, this review begins with a discussion of the increasing awareness of this condition; briefly describes evolving definitions of sarcopenia; suggests a framework for consistent terminology for sarcopenia; discusses outstanding issues in the definition of sarcopenia; and reviews the association between sarcopenia and adverse outcome in older adults. In addition, the role of sarcopenia in other diseases is discussed. The field of sarcopenia continues to hold considerable promise and work continues to resolve outstanding concerns in this field with a unifying consensus definition on the horizon.
Collapse
Affiliation(s)
- Peggy M Cawthon
- San Francisco Coordinating Center, 550 16th Street, 2nd Floor, Box #0560, San Francisco, CA, 94143, USA.
| |
Collapse
|
5
|
「高齢者肥満症診療ガイドライン2018」. Nihon Ronen Igakkai Zasshi 2018. [PMID: 30464154 DOI: 10.3143/geriatrics.55.g1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/09/2023]
|
6
|
|
7
|
Potential contributions of skeletal muscle contractile dysfunction to altered biomechanics in obesity. Gait Posture 2017; 56:100-107. [PMID: 28528004 DOI: 10.1016/j.gaitpost.2017.05.003] [Citation(s) in RCA: 46] [Impact Index Per Article: 6.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/03/2017] [Revised: 05/04/2017] [Accepted: 05/06/2017] [Indexed: 02/08/2023]
Abstract
Obesity alters whole body kinematics and joint kinetics during activities of daily living which are thought to contribute to increased risk of musculoskeletal injury, development of lower extremity joint osteoarthritis (OA), and physical disability. To date, it has widely been accepted that excess adipose tissue mass is the major driver of biomechanical alterations in obesity. However, it is well established that obesity is a systemic disease affecting numerous, if not all, organ systems of the body. Indeed, obesity elicits numerous adaptations within skeletal muscle, including alterations in muscle structure (ex. myofiber size, architecture, lipid accumulation, and fiber type), recruitment patterns, and contractile function (ex. force production, power production, and fatigue) which may influence kinematics and joint kinetics. This review discusses the specific adaptations of skeletal muscle to obesity, potential mechanisms underlying these adaptations, and how these adaptations may affect biomechanics.
Collapse
|
8
|
Donini LM, Rosano A, Di Lazzaro L, Poggiogalle E, Lubrano C, Migliaccio S, Carbonelli M, Pinto A, Lenzi A. Validation of the Italian version of the Laval questionnaire: health-related quality of life in subjects with obesity. Health Qual Life Outcomes 2017; 15:101. [PMID: 28506319 PMCID: PMC5432971 DOI: 10.1186/s12955-017-0671-3] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/10/2017] [Accepted: 04/28/2017] [Indexed: 01/22/2023] Open
Abstract
Background Obesity is associated to increased risk of metabolic comorbidity as well as increased mortality. Notably, obesity is also associated to the impairment of the psychological status and of quality of life. Only three questionnaires are available in the Italian language evaluating the health-related quality of life in subjects with obesity. The aim of the present study was to test the validity and reliability of the Italian version of the Laval Questionnaire. Methods The original French version was translated into Italian and back-translated by a French native speaker. 273 subjects with obesity (Body Mass Index ≥ 30 kg/m2) were enrolled; the Italian version of the Laval Questionnaire and the O.R.Well-97 questionnaire were administered in order to assess health- related quality of life. The Laval questionnaire consists of 44 items distributed in 6 domains (symptoms, activity/mobility, personal hygiene/clothing, emotions, social interaction, sexual life). Disability and overall psychopathology levels were assessed through the TSD-OC test (SIO test for obesity correlated disabilities) and the SCL-90 (Symptom Checklist-90) questionnaire, respectively. To verify the validity of the Italian version, the analysis of internal consistency, test-retest reliability, and construct validity were performed. Results The observed proportion of agreement concordance of results was 50.2% with Cohen’s K = 0.336 (CI 95%: 0.267–0.404), indicating a fair agreement between the two tests. Test-retest correlation was statistically significant (ρ = 0.82; p < 0.01); validity (standardized Chronbach’s alpha) was considered reliable (α > 0.70). The analysis of construct validity showed a statistically significant association in terms of both total score (ρ = −0.66) and scores at each single domain (p < 0.01). A high correlation (p < 0.01) was observed between Laval questionnaire total and single domain scores and other related measures (Body Mass Index, TSD-OC scores, SCL-90 global severity index), revealing a high construct validity of the test. Conclusions The Italian version of the Laval Questionnaire is a valid and reliable measure to assess the health-related quality of life in subjects with obesity.
Collapse
Affiliation(s)
- Lorenzo Maria Donini
- High Specialization Centre for the Care of Obesity ("CASCO"), Department of Experimental Medicine, Medical Pathophysiology, Food Science and Endocrinology Section, "Sapienza" University of Rome, Rome, Italy. .,"Sapienza" University of Rome, Department of Experimental Medicine- Medical Pathophysiology, Food Science and Endocrinology Section, Food Science and Human Research Unit, p.le Aldo Moro n.5, 00185, Rome, Italy.
| | | | - Luca Di Lazzaro
- High Specialization Centre for the Care of Obesity ("CASCO"), Department of Experimental Medicine, Medical Pathophysiology, Food Science and Endocrinology Section, "Sapienza" University of Rome, Rome, Italy
| | - Eleonora Poggiogalle
- High Specialization Centre for the Care of Obesity ("CASCO"), Department of Experimental Medicine, Medical Pathophysiology, Food Science and Endocrinology Section, "Sapienza" University of Rome, Rome, Italy
| | - Carla Lubrano
- High Specialization Centre for the Care of Obesity ("CASCO"), Department of Experimental Medicine, Medical Pathophysiology, Food Science and Endocrinology Section, "Sapienza" University of Rome, Rome, Italy
| | | | | | - Alessandro Pinto
- High Specialization Centre for the Care of Obesity ("CASCO"), Department of Experimental Medicine, Medical Pathophysiology, Food Science and Endocrinology Section, "Sapienza" University of Rome, Rome, Italy
| | - Andrea Lenzi
- High Specialization Centre for the Care of Obesity ("CASCO"), Department of Experimental Medicine, Medical Pathophysiology, Food Science and Endocrinology Section, "Sapienza" University of Rome, Rome, Italy
| |
Collapse
|
9
|
Murgatroyd D, Harris IA, Chen JS, Adie S, Mittal R, Cameron ID. Predictors of seeking financial compensation following motor vehicle trauma: inception cohort with moderate to severe musculoskeletal injuries. BMC Musculoskelet Disord 2017; 18:177. [PMID: 28464812 PMCID: PMC5414133 DOI: 10.1186/s12891-017-1535-z] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/05/2016] [Accepted: 04/25/2017] [Indexed: 12/31/2022] Open
Abstract
BACKGROUND Compensation related factors have been repeatedly associated with poor recovery following orthopaedic trauma. There is limited research into the factors associated with seeking financial compensation. Further understanding of these factors could facilitate injury recovery by purposeful compensation scheme design. The aim of this study was to investigate the predictors of seeking financial compensation, namely making a claim and seeking legal representation, following motor vehicle related orthopaedic trauma. The study was conducted in New South Wales (NSW), Australia, in motor vehicle crash and workers' compensation schemes. METHODS Participants were patients admitted with upper or lower extremity factures following a motor vehicle crash to two trauma hospitals. Data were collected at baseline within two weeks of injury. Participants were followed up at six months. Analysis involved: descriptive statistics for baseline characteristics; comparison of compensable and non-compensable participants with Analysis of Variance (ANOVA) and chi-squared tests; and logistic regression for predictor models. RESULTS The cohort consisted of 452 participants with a mean age 40 years; 75% male; 74% working pre-injury; 30% in excellent pre-injury health; 56% sustained serious injuries with an Injury Severity Score (ISS) 9-15; 61% had a low-middle range household income; and 35% self-reported at fault in the crash. There was no significant difference in pre-injury/baseline health between compensable and non-compensable participants. Follow up data was available for 301 (67%) participants. The significant predictor of claiming compensation in the adjusted analysis was higher body mass index (BMI) (overweight Odds Ratio [OR] 3.05, 95% Confidence Interval [CI] 1.63-5.68; obese OR 1.63, 95% CI 0.83-3.20). Participants less likely to claim were: involved in a motorcycle crash (OR 0.47, 95% CI 0.28-0.82); socioeconomically less disadvantaged (OR 0.37, 95% CI 0.17-0.82) or least disadvantaged (OR 0.39, 95% CI 0.17-0.90); at risk for short term harm (injury) due to alcohol consumption (OR 0.56, 95% CI 0.32-0.97); and with fair-poor pre-injury health (OR 0.30, 95% CI 0.09-0.94). The predictors for seeking legal representation were speaking a language other than English at home (OR 2.80, 95% CI 1.2-6.52) and lower household income (OR 3.63, 95% CI 1.22-10.72). Participants less likely to seek legal representation were least socioeconomically disadvantaged (OR 0.15, 95% CI 0.04-0.50). CONCLUSIONS Seeking financial compensation was associated with a higher pre-injury BMI rather than injury-related factors. Seeking legal representation was solely related to socio-economic factors.
Collapse
Affiliation(s)
- Darnel Murgatroyd
- John Walsh Centre for Rehabilitation Research, The University of Sydney, Kolling Institute, Sydney, NSW Australia
| | - Ian A. Harris
- Orthopaedic Surgery, Ingham Institute for Applied Medical Research, South Western Sydney Clinical School, UNSW, Sydney, NSW Australia
| | - Jian Sheng Chen
- Department of Rheumatology, Royal North Shore Hospital, St Leonards, NSW Australia
| | - Sam Adie
- South West Sydney Clinical School, UNSW, Sydney, NSW Australia
| | - Rajat Mittal
- Ingham Institute for Applied Medical Research, South Western Sydney Clinical School, UNSW, Sydney, NSW Australia
| | - Ian D. Cameron
- Rehabilitation Medicine, John Walsh Centre for Rehabilitation Research, The University of Sydney, Kolling Institute, Sydney, NSW Australia
| |
Collapse
|
10
|
Walaszek MC, Ransom AL, Capehart S, Pohl MB, Shapiro R, Bollinger LM. External loading alters trunk kinematics and lower extremity muscle activity in a distribution-specific manner during sitting and rising from a chair. J Electromyogr Kinesiol 2017; 34:102-108. [PMID: 28460239 DOI: 10.1016/j.jelekin.2017.04.005] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/26/2016] [Revised: 04/10/2017] [Accepted: 04/10/2017] [Indexed: 11/15/2022] Open
Abstract
BACKGROUND Excess body mass alters gait biomechanics in a distribution-specific manner. The effects of adding mass centrally or peripherally on biomechanics during sitting and rising from a chair are unknown. METHODS Motion analysis and lower extremity EMG were measured for fifteen healthy, normal weight subjects during sit-to-stand (SitTS) and stand-to-sit (StandTS) from a chair under unloaded (UN), centrally loaded (CL), and peripherally loaded (PL) conditions. RESULTS Compared to UN, PL significantly increased support width (SitTS and StandTS), increased peak trunk flexion velocity (SitTS), and trended to increase peak trunk flexion angle (SitTS). During StandTS, CL significantly reduced peak trunk flexion compared to UN and PL. EMG activity of the semitendinosus, vastus lateralis and/or medialis was significantly increased in CL compared to UN during SitTS and StandTS. CONCLUSIONS Adding mass centrally or peripherally induces contrasting biomechanical strategies to successfully sit or rise from a chair. CL limits trunk flexion and increases knee extensor muscle activity whereas; PL increases support width and trunk flexion, thus preventing increased EMG activity.
Collapse
Affiliation(s)
- Michelle C Walaszek
- Department of Kinesiology and Health Promotion, University of Kentucky, Lexington, KY, United States
| | - Amanda L Ransom
- Department of Kinesiology and Health Promotion, University of Kentucky, Lexington, KY, United States
| | - Steven Capehart
- Department of Kinesiology and Health Promotion, University of Kentucky, Lexington, KY, United States
| | - Michael B Pohl
- Department of Kinesiology and Health Promotion, University of Kentucky, Lexington, KY, United States; Department of Exercise Science, University of Puget Sound, Tacoma, WA, United States
| | - Robert Shapiro
- Department of Kinesiology and Health Promotion, University of Kentucky, Lexington, KY, United States
| | - Lance M Bollinger
- Department of Kinesiology and Health Promotion, University of Kentucky, Lexington, KY, United States; Center for Muscle Biology, University of Kentucky, Lexington, KY, United States.
| |
Collapse
|
11
|
Ilvig PM, Christensen JR. Degree of disability among female healthcare workers who are overweight or obese. COGENT MEDICINE 2017. [DOI: 10.1080/2331205x.2017.1282032] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/20/2022] Open
Affiliation(s)
- Pia Maria Ilvig
- Department of Public Health, University of Southern Denmark, Campusvej 55, 5230 Odense M, Denmark
| | | |
Collapse
|
12
|
Comparison of different measures of obesity in their association with health-related quality of life in older adults - results from the KORA-Age study. Public Health Nutr 2016; 19:3276-3286. [PMID: 27337156 DOI: 10.1017/s1368980016001270] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/01/2023]
Abstract
OBJECTIVE As ageing is associated with changes in body composition, BMI may not be the appropriate obesity measure for older adults. To date, little is known about associations between obesity measures and health-related quality of life (HRQoL). Thus, we aimed to compare different obesity measures in their association with HRQoL and self-rated physical constitution (SRPC) in older adults. DESIGN Seven obesity measures (BMI, waist circumference (WC), waist-to-hip ratio, waist-to-height ratio, fat mass percentage based on bioelectrical impedance analysis, hypertriglyceridaemic waist (HTGW) and sarcopenic obesity) were assessed at baseline in 2009. HRQoL, using the EQ-5D questionnaire, and SRPC, using one single question, were collected at baseline and at the 3-year follow-up in 2012. Linear and logistic regression analyses were used to examine the associations between the obesity measures and both outcomes. Model comparisons were conducted by area under the receiver-operating characteristic curve, R 2, Akaike and Schwarz Bayesian information criteria. SETTING KORA-Age study in Southern Germany (2009-2012). SUBJECTS Older adults (n 883; aged ≥65 years). RESULTS Nearly all obesity measures were significantly inversely associated with both outcomes in cross-sectional analyses. Concerning HRQoL, the WC model explained most of the variance and had the best model adaption, followed by the BMI model. Regarding SRPC, the HTGW and BMI models were best as rated by model quality criteria, followed closely by the WC model. Longitudinal analyses showed no significant associations. CONCLUSIONS These results suggest that, with regard to HRQoL/SRPC, simple anthropometric measures are sufficient to determine obesity in older adults in medical practice.
Collapse
|
13
|
Prevalence of class-I, class-II and class-III obesity in Australian adults between 1995 and 2011–12. Obes Res Clin Pract 2015; 9:553-62. [DOI: 10.1016/j.orcp.2015.02.004] [Citation(s) in RCA: 41] [Impact Index Per Article: 4.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/12/2014] [Revised: 11/21/2014] [Accepted: 02/08/2015] [Indexed: 11/19/2022]
|
14
|
Lee CW, Kim SG, An BW. The effects of horseback riding on body mass index and gait in obese women. J Phys Ther Sci 2015; 27:1169-71. [PMID: 25995581 PMCID: PMC4434002 DOI: 10.1589/jpts.27.1169] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/27/2014] [Accepted: 12/11/2014] [Indexed: 11/26/2022] Open
Abstract
[Purpose] The aim of this study was to examine the effect of horseback riding on body
mass index (BMI) and gait in obese women. [Subjects and Methods] Twenty-four obese women
residing in Seoul and Gyeonggi-do were randomly divided into a horseback riding group and
a walking group and conducted their respective exercises 3 times a week for 8 weeks.
[Results] Step length increased significantly and BMI and width of the base of support
significantly decreased in both groups. A comparison of BMI and width of the base of
support after the intervention between the two groups revealed that the horseback riding
group showed larger decreases than the walking group. [Conclusion] The result of this
study indicated that the horseback riding may improve gait ability and obesity.
Collapse
Affiliation(s)
- Chae-Woo Lee
- Department of Physical Therapy, College of Rehabilitation Science, Daegu University, Republic of Korea
| | - Seong-Gil Kim
- Department of Physical Therapy, College of Rehabilitation Science, Daegu University, Republic of Korea
| | - Byung-Wook An
- Department of Physical Therapy, College of Rehabilitation Science, Daegu University, Republic of Korea
| |
Collapse
|
15
|
Wong E, Stevenson C, Backholer K, Woodward M, Shaw JE, Peeters A. Predicting the risk of physical disability in old age using modifiable mid-life risk factors. J Epidemiol Community Health 2014; 69:70-6. [PMID: 25216667 DOI: 10.1136/jech-2014-204456] [Citation(s) in RCA: 24] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/03/2022]
Abstract
BACKGROUND We aimed to investigate the relationship between potentially modifiable risk factors in middle age and disability after 13 years using the Framingham Offspring Study (FOS). We further aimed to develop a disability risk algorithm to estimate the risk of future disability for those aged 45-65 years. METHODS FOS is a longitudinal study. We used examination 5 (1991-1995; 'baseline') and examination 8 (2005-2008; 'follow-up'). We included participants aged between 45-65 years at 'baseline' with complete predictor and outcome measures (n=2031; mean age 53.9 years). Predictors considered were body mass index, smoking, hypertension, diabetes and dyslipidaemia. We used multinomial logistic regression to identify predictors of disability or death.We assessed external validity using Australian data. RESULTS By examination 8, 156 participants had disability and 198 had died. Disability was associated with smoking (OR (95% CI) 1.81 (1.18 to 2.78)); obesity (2.95 (1.83 to 4.77)); diabetes 1.96 (1.11 to 3.45) and being female (OR 1.67 (1.13 to 2.45). The model performed moderately well in predicting disability and death in an Australian population. Based on our algorithm, a 45-year-old man/woman with the combined risk factors of obesity, diabetes and smoking has similar likelihood of surviving free of disability to a 65-year-old man/woman without any of the same risk factors. CONCLUSIONS AND RELEVANCE The derived risk algorithm allows, for the first time, quantification of the substantial combined impact on future disability of key modifiable risk factors in mid-life. Here we demonstrated the combined impact of obesity, diabetes and smoking to be similar to 20 years of aging.
Collapse
Affiliation(s)
- Evelyn Wong
- Baker IDI Heart and Diabetes Institute, Melbourne, Australia Department of Epidemiology and Preventive Medicine, Monash University, Melbourne, Australia
| | | | - Kathryn Backholer
- Baker IDI Heart and Diabetes Institute, Melbourne, Australia Department of Epidemiology and Preventive Medicine, Monash University, Melbourne, Australia
| | - Mark Woodward
- The George Institute for Global Health, University of Sydney, Camperdown, New South Wales, Australia Nuffield Department of Population Health, University of Oxford, Oxford, UK Department of Epidemiology, Johns Hopkins University, Baltimore, USA
| | - Jonathan E Shaw
- Baker IDI Heart and Diabetes Institute, Melbourne, Australia
| | - Anna Peeters
- Baker IDI Heart and Diabetes Institute, Melbourne, Australia Department of Epidemiology and Preventive Medicine, Monash University, Melbourne, Australia
| |
Collapse
|
16
|
A Hand G, N Blair S. Energy Flux and its Role in Obesity and Metabolic Disease. EUROPEAN ENDOCRINOLOGY 2014; 10:131-135. [PMID: 29872477 PMCID: PMC5983082 DOI: 10.17925/ee.2014.10.02.131] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/25/2014] [Accepted: 05/01/2014] [Indexed: 01/22/2023]
Abstract
In order to reverse the global obesity pandemic, there is a need for an enhanced understanding of the energy dynamics that underlie the problem. To maintain a stable body weight, energy intake must, over time, match or equal energy expenditure, a concept known as energy balance. Obesity results from a positive state of energy balance (i.e. when energy intake exceeds energy expenditure). However, recent research suggests that strategies to combat obesity should focus on energy flux (the amount of calories going through a system), rather than energy balance alone. In other words, it is easier to maintain weight loss at higher levels of physical activity. Recent findings suggest that a high energy flux, maintained by increasing energy expenditure, can improve an individual's metabolic profile without changing weight. Further understanding of this concept may help in the design of interventions to achieve and maintain a healthy weight.
Collapse
Affiliation(s)
| | - Steven N Blair
- Department of Epidemiology and Biostatistics, University of South Carolina, Columbia, South Carolina, US
| |
Collapse
|
17
|
de Hollander EL, Picavet HSJ, Milder IE, Verschuren WMM, Bemelmans WJE, de Groot LCPGM. The impact of long-term body mass index patterns on health-related quality of life: the Doetinchem Cohort Study. Am J Epidemiol 2013; 178:804-12. [PMID: 23820786 DOI: 10.1093/aje/kwt053] [Citation(s) in RCA: 19] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/06/2023] Open
Abstract
Overweight is associated with a reduced health-related quality of life (QOL), but less is known about the impact of long-term body mass index (BMI, calculated as weight (kg)/height (m)(2)) patterns on QOL in adults. In the Dutch Doetinchem Cohort Study (1989-2009) that included 1,677 men and 1,731 women aged 20-66 years, 6 BMI patterns were defined by using 4 measurements over a 15-year period: 1) persistent healthy weight (18.5-24.9, reference pattern); 2) persistent overweight (25.0-29.9); 3) persistent obesity (≥30.0); 4) developing overweight; 5) developing obesity; and 6) switching between BMI categories. For each BMI pattern, adjusted QOL (measured on a 0-100 scale) was estimated at the end of this period. The lowest QOL was observed for persistent obesity of all BMI patterns. It was 5.0 points (P = 0.02) lower for 1 mental dimension in men and 6.2-11.6 points (P < 0.05) lower for 5 (mainly physical) dimensions in women. Developing overweight or obesity scored 1.8-6.3 points (P < 0.05) lower on 2-5 (mainly physical) dimensions. Persistent overweight hardly differed from a persistent healthy weight. In women, switching between BMI categories resulted in a lower QOL on the mental dimensions. Studying long-term BMI patterns over a 15-year period showed that persistent obesity, developing overweight, and developing obesity resulted in a lower QOL-particularly on the physical dimensions-compared with a persistent healthy weight.
Collapse
Affiliation(s)
- Ellen L de Hollander
- Centre for Nutrition, Prevention, and Health Services, National Institute for Public Health and the Environment, Bilthoven, the Netherlands.
| | | | | | | | | | | |
Collapse
|
18
|
Saris C, Kremers S, Van Assema P, Hoefnagels C, Droomers M, De Vries N. What moves them? Active transport among inhabitants of Dutch deprived districts. J Obes 2013; 2013:153973. [PMID: 24191193 PMCID: PMC3804400 DOI: 10.1155/2013/153973] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/27/2013] [Revised: 08/26/2013] [Accepted: 08/30/2013] [Indexed: 11/18/2022] Open
Abstract
BACKGROUND Active modes of transport like walking and cycling have been shown to be valuable contributions to daily physical activity. The current study investigates associations between personal and neighbourhood environmental characteristics and active transport among inhabitants of Dutch deprived districts. METHOD Questionnaires about health, neighbourhoods, and physical activity behaviour were completed by 742 adults. Data was analysed by means of multivariate linear regression analyses. RESULTS Being younger, female, and migrant and having a normal weight were associated with more walking for active transport. Being younger, male, and native Dutch and having a normal weight were associated with more cycling for active transport. Neighbourhood characteristics were generally not correlated with active transport. Stratified analyses, based on significant person-environment interactions, showed that migrants and women walked more when cars did not exceed maximum speed in nearby streets and that younger people walked more when speed of traffic in nearby streets was perceived as low. Among migrants, more cycling was associated with the perceived attractiveness of the neighbourhood surroundings. DISCUSSION AND CONCLUSION Results indicated that among inhabitants of Dutch deprived districts, personal characteristics were associated with active transport, whereas neighbourhood environmental characteristics were generally not associated with active transport. Nevertheless, interaction effects showed differences among subgroups that should be considered in intervention development.
Collapse
Affiliation(s)
- Carla Saris
- Caphri School of Public Health and Primary Care, Maastricht University, P.O. Box 616, 6200 MD Maastricht, The Netherlands
- Faculty of Health Medicine and Life Sciences, Department of Health Promotion, Maastricht University, P.O. Box 616, 6200 MD Maastricht, The Netherlands
- *Carla Saris:
| | - Stef Kremers
- Faculty of Health Medicine and Life Sciences, Department of Health Promotion, Maastricht University, P.O. Box 616, 6200 MD Maastricht, The Netherlands
- NUTRIM, School for Nutrition, Toxicology and Metabolism, Maastricht University, P.O. Box 616, 6200 MD Maastricht, The Netherlands
| | - Patricia Van Assema
- Caphri School of Public Health and Primary Care, Maastricht University, P.O. Box 616, 6200 MD Maastricht, The Netherlands
- Faculty of Health Medicine and Life Sciences, Department of Health Promotion, Maastricht University, P.O. Box 616, 6200 MD Maastricht, The Netherlands
- NUTRIM, School for Nutrition, Toxicology and Metabolism, Maastricht University, P.O. Box 616, 6200 MD Maastricht, The Netherlands
| | - Cees Hoefnagels
- Caphri School of Public Health and Primary Care, Maastricht University, P.O. Box 616, 6200 MD Maastricht, The Netherlands
- Faculty of Health Medicine and Life Sciences, Department of Health Promotion, Maastricht University, P.O. Box 616, 6200 MD Maastricht, The Netherlands
- Trimbos Institute, Netherlands Institute for Mental Health and Addiction, P.O. Box 725, 3500 AS Utrecht, The Netherlands
| | - Mariël Droomers
- Faculty of Medicine, Department of Public Health, University of Amsterdam, P.O. Box 19268, 1000 GG Amsterdam, The Netherlands
| | - Nanne De Vries
- Caphri School of Public Health and Primary Care, Maastricht University, P.O. Box 616, 6200 MD Maastricht, The Netherlands
- Faculty of Health Medicine and Life Sciences, Department of Health Promotion, Maastricht University, P.O. Box 616, 6200 MD Maastricht, The Netherlands
- NUTRIM, School for Nutrition, Toxicology and Metabolism, Maastricht University, P.O. Box 616, 6200 MD Maastricht, The Netherlands
| |
Collapse
|