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Efficacy of Telephone Health Coaching Integration with Standard Multidisciplinary Care for Adults with Obesity Attending a Weight Management Service: A Pilot Study. Nutrients 2021; 13:nu13114078. [PMID: 34836331 PMCID: PMC8625904 DOI: 10.3390/nu13114078] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/08/2021] [Revised: 11/08/2021] [Accepted: 11/12/2021] [Indexed: 12/23/2022] Open
Abstract
Australia has one of the highest prevalences of obesity in the developed world with recognised gaps in patient access to obesity services. This non-randomised before and after study investigated the health benefits and patient acceptability of integrating the Get Healthy Service, a state-funded telephone-delivered coaching service in Australia, as an adjunct to multidisciplinary care for adults attending a public obesity service. Forty-one participants received multidisciplinary care alone while 39 participants were subsequently allocated to receive adjunctive treatment with the Get Healthy Service. Weight, body mass index, glycosylated haemoglobin, measurement of hepatic steatosis and liver enzymes were collected at baseline and 6 months. Participant evaluation was obtained post intervention. Statistically significant reductions from baseline were achieved for both control and intervention with respect to weight (−6.7 ± 2.2 kg, p = 0.01; −12.6 ± 3.2, p = 0.002), body mass index (−2.3 ± 0.8, p = 0.01; −4.8 ± 1.2 kg/m2, p = 0.002) and glycosylated haemoglobin (−0.2 ± 0.2%, p = 0.2 (NS); −0.7 ± 0.2%, p = 0.02), respectively. There were no significant differences in steatosis or liver enzymes or in outcomes between control and intervention cohorts. A high level of patient acceptability was reported. Integrating telephone-delivered coaching provided non-inferior care and high levels of patient satisfaction. Telephone coaching aligned with the principles of an obesity service should be trialled to improve patient access to obesity interventions.
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Sieczkowska SM, de Lima AP, Swinton PA, Dolan E, Roschel H, Gualano B. Health Coaching Strategies for Weight Loss: A Systematic Review and Meta-Analysis. Adv Nutr 2021; 12:1449-1460. [PMID: 33339042 DOI: 10.1093/advances/nmaa159] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/05/2020] [Revised: 10/01/2020] [Accepted: 11/11/2020] [Indexed: 02/07/2023] Open
Abstract
Health coaching has emerged as a potential supporting tool for health professionals to overcome behavioral barriers, but its efficacy in weight management remains unclear. We conducted a systematic review and meta-analysis to synthesize and evaluate the quality of evidence supporting the use of self-reported health coaching for weight loss. Seven electronic databases (PubMed, Web of Science, Scopus, Cochrane, Psyinfo, Virtual Health Library, and Scielo) were independently searched from inception to May 2020. This review was conducted in accordance with the Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines and quality of evidence was assessed using the Grading of Recommendations, Assessment, Development and Evaluation recommendations. Any study that investigated a self-reported health coaching intervention with the goal of inducing weight loss in individuals of any age, health, or training status was considered for inclusion. Quantitative data were analyzed using multilevel hierarchical metaregression models conducted within a Bayesian framework. A total of 653 studies were screened and 38 were selected for inclusion. The quality of evidence supporting outcomes based on the entire evidence base was very low and studies were deemed to have high risk of bias. Meta-analysis of controlled studies provided evidence of an effect favoring coaching compared with usual care but was trivial in magnitude [effect size (ES)0.5: -0.09; 95% credible interval (CrI): -0.17, -0.02]. The multilevel extension of Egger's regression-intercept test indicated the existence of publication bias, whereas a sensitivity analysis based only on those studies deemed to be of high quality provided no evidence of an effect of coaching on weight loss (ES0.5: -0.04; 95% CrI: -0.12, 0.09). Considered collectively, the results of this investigation indicate that the available evidence is not of sufficient quality to support the use of self-reported health coaching as a health care intervention for weight loss. This trial was registered at Prospective Register of Systematic Reviews (PROSPERO) as CRD42020159023.
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Affiliation(s)
- Sofia Mendes Sieczkowska
- Applied Physiology & Nutrition Research Group; School of Physical Education and Sport; Laboratory of Assessment and Conditioning in Rheumatology; School of Medicine, FMUSP, University of Sao Paulo, Sao Paulo, SP, BR
| | - Alisson Padilha de Lima
- Applied Physiology & Nutrition Research Group; School of Physical Education and Sport; Laboratory of Assessment and Conditioning in Rheumatology; School of Medicine, FMUSP, University of Sao Paulo, Sao Paulo, SP, BR.,School of Physical Education, Faculty IELUSC, Joinville-SC, BR
| | - Paul Alan Swinton
- School of Health Sciences, Robert Gordon University, Aberdeen, United Kingdom
| | - Eimear Dolan
- Applied Physiology & Nutrition Research Group; School of Physical Education and Sport; Laboratory of Assessment and Conditioning in Rheumatology; School of Medicine, FMUSP, University of Sao Paulo, Sao Paulo, SP, BR
| | - Hamilton Roschel
- Applied Physiology & Nutrition Research Group; School of Physical Education and Sport; Laboratory of Assessment and Conditioning in Rheumatology; School of Medicine, FMUSP, University of Sao Paulo, Sao Paulo, SP, BR
| | - Bruno Gualano
- Applied Physiology & Nutrition Research Group; School of Physical Education and Sport; Laboratory of Assessment and Conditioning in Rheumatology; School of Medicine, FMUSP, University of Sao Paulo, Sao Paulo, SP, BR
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Finn MTM, Brown HR, Friedman ER, Kelly AG, Hansen K. Preference for Telehealth Sustained Over Three Months at an Outpatient Center for Integrative Medicine. Glob Adv Health Med 2021; 10:2164956121997361. [PMID: 33680574 PMCID: PMC7900841 DOI: 10.1177/2164956121997361] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/17/2021] [Revised: 01/17/2021] [Accepted: 01/28/2021] [Indexed: 11/22/2022] Open
Abstract
Background Integrative medicine is a key framework for the treatment of chronic medical
conditions, particularly chronic pain conditions. The COVID-19 pandemic
prompted rapid implementation of telehealth services. Objective We present outcomes of a complete and rapid transition to telehealth visits
at an outpatient integrative medicine center in the Southeastern United
States. Method Patients and administrative staff took surveys comparing telehealth to
in-person visits within four weeks of our clinic's transition to telehealth
and three months later. Beginning four weeks after the clinic’s telehealth
conversion in March 2020, patients who had a telehealth visit at the center
completed a survey about their telehealth experience and another survey
three months later. Results Patient quality judgements significantly favored telehealth at baseline,
B = .77 [0.29 – 1.25], SE = .25, t(712) = 3.15, p = .002,
and increased at three months, B = .27 [–0.03 – 0.57], SE = .15,
t(712) = 1.76, p = .079. Telehealth technology
usability and distance from the center predicted patient ratings of
telehealth favorability. Providers favored in-person visits more than
patients, B = –1.00 [–1.56 – –0.44], SE = .29,
t(799) = –3.48, p < .001, though did not favor either
in-person or telehealth more than the other. Patient discrete choice between
telehealth and in-person visits was split at baseline (in-person: n = 86
[54%]; telehealth: n = 73 [46%]), but favored telehealth at three months
(in-person: n = 17 [40%]; telehealth: n = 26 [60%]). Overall, discrete
choice favored telehealth at follow-up across providers and patients,
OR = 2.69 [.1.18 – 6.14], z = 2.36, p = .018. Major qualitative themes
highlight telehealth as acceptable and convenient, with some challenges
including technological issues. Some felt a loss of interpersonal connection
during telehealth visits, while others felt the opposite. Conclusion We report converging mixed-method data on the successful and sustained
implementation of telehealth with associated policy and clinical
implications during and beyond the COVID-19 pandemic.
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Affiliation(s)
- Michael T M Finn
- Osher Center for Integrative Medicine, Vanderbilt University Medical Center, Nashville, Tennessee.,Adult Congenital Heart Disease Program, Helen DeVos Children's Hospital, Grand Rapids, Michigan
| | - Hannah R Brown
- Osher Center for Integrative Medicine, Vanderbilt University Medical Center, Nashville, Tennessee.,Vanderbilt University School of Nursing, Nashville, Tennessee
| | - Emily R Friedman
- Osher Center for Integrative Medicine, Vanderbilt University Medical Center, Nashville, Tennessee.,Vanderbilt University School of Nursing, Nashville, Tennessee
| | - A Grace Kelly
- Osher Center for Integrative Medicine, Vanderbilt University Medical Center, Nashville, Tennessee
| | - Kathryn Hansen
- Osher Center for Integrative Medicine, Vanderbilt University Medical Center, Nashville, Tennessee
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Canuto R, Garcez A, de Souza RV, Kac G, Olinto MTA. Nutritional intervention strategies for the management of overweight and obesity in primary health care: A systematic review with meta-analysis. Obes Rev 2021; 22:e13143. [PMID: 33006421 DOI: 10.1111/obr.13143] [Citation(s) in RCA: 25] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/22/2020] [Revised: 08/17/2020] [Accepted: 08/22/2020] [Indexed: 12/29/2022]
Abstract
A systematic review with meta-analysis (MA) was conducted to synthesize the effectiveness of nutrition intervention strategies for managing overweight and obesity in the adult population attending primary health care. Relevant articles were searched in the PubMed, Embase, Web of Science, Cochrane and LILACS databases from inception to January 2020. Seventy studies were identified: 45 randomized controlled trials (RCTs) and 25 uncontrolled before-after studies (UBAs). The MA of nutritional intervention revealed a reduced average estimate of the effect on weight in RCTs (weighted mean differences [WMD] = -1.80 kg, 95% confidence interval [CI], -2.40 to -1.19), BMI (WMD = -0.80 kg/m2 , 95% CI, -1.11 to -0.49), and WC (WMD = -2.28 cm, 95% CI, -3.06 to -1.49); and for UBAs showed reductions in weight (WMD = -4.17 kg; 95% CI, -5.18 to -1.70), BMI (WMD = -1.26 kg/m2 ; 95% CI, -1.81 to -0.72) and (WMD = -2.90 cm; 95%CI, -4.21 to -1.59). There was no association between treatment effect and follow-up for both designs. Nutritional interventions alone yielded a higher but nonsignificant average reduction on weight when compared with combined components intervention. Interventions delivered through individual or group sessions showed a similar positive effect on weight decrease. The dietary prescription approach yielded a greater effect on weight loss than did the behavioural approaches but only in UBA studies.
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Affiliation(s)
- Raquel Canuto
- Postgraduate Program in Food, Nutrition and Health, Federal University of Rio Grande do Sul, UFRGS, Porto Alegre, Rio Grande do Sul, Brazil.,Postgraduate Graduate Program in Nutrition Sciences, Federal University of Health Science of Porto Alegre, UFCSPA, Porto Alegre, Rio Grande do Sul, Brazil
| | - Anderson Garcez
- Postgraduate Graduate Program in Nutrition Sciences, Federal University of Health Science of Porto Alegre, UFCSPA, Porto Alegre, Rio Grande do Sul, Brazil.,Postgraduate Program in Collective Health, University of Vale do Rio dos Sinos, UNISINOS, São Leopoldo, Rio Grande do Sul, Brazil
| | | | - Gilberto Kac
- Institute of Nutrition, Federal University of Rio de Janeiro, UFRJ, Rio de Janeiro, Rio Grande do Sul, Brazil
| | - Maria Teresa Anselmo Olinto
- Postgraduate Program in Food, Nutrition and Health, Federal University of Rio Grande do Sul, UFRGS, Porto Alegre, Rio Grande do Sul, Brazil.,Postgraduate Program in Collective Health, University of Vale do Rio dos Sinos, UNISINOS, São Leopoldo, Rio Grande do Sul, Brazil
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Cingil D, Göger S. Effect of education and counseling on anthropometric measures and healthy lifestyle behavior among overweight and obese women. Transl Behav Med 2020; 10:1450-1457. [PMID: 31170295 DOI: 10.1093/tbm/ibz084] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/14/2022] Open
Abstract
BACKGROUND It is extremely important to develop and maintain healthy lifestyle behaviors, particularly in overweight and obese women. PURPOSE This study aimed to evaluate the effect of education and counseling on healthy lifestyle behaviors among overweight and obese women who attend a sports center. METHODS This pretest-posttest interventional study included a total of 60 women aged 18-49 years [intervention (n = 30) and control (n = 30)]. The data were collected using an introductory information form, the Healthy Lifestyle Behaviours Scale II, and an anthropometric measurements follow-up form. The participants in the intervention group were provided with education and counseling. The control group was administered the standard procedure at the sports center. RESULTS In the pretest comparison of the intervention and control groups, values of health responsibility, interpersonal relations, and spiritual development were greater in the control group than in the intervention group, and the difference was statistically significant (p < 0.05). In the posttest comparison, there was no statistically significant difference between the groups in terms of waist/hip ratio, BMI, interpersonal relations, and spiritual development (p > 0.05). It was found in multiple regression analysis: the BMI posttest (β = -0.250, p = 0.028) predict negatively 25% of the HLBS II posttest total score and being in the intervention group (β = 0.486, p < 0.001) predict positively 49% of (p < 0.001). CONCLUSIONS Training and counseling based on the health promotion model are effective in developing healthy lifestyle behaviors. Women aged 18-49 years should be more frequently monitored in terms of obesity.
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Affiliation(s)
- Dilek Cingil
- Nursing Faculty, Public Health Nursing, Necmettin Erbakan University, Konya, Turkey
| | - Seda Göger
- Geriatric Care, Department of Health Care Services, Vocational School of Health Services, Sakarya University, Sakarya, Turkey
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