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Mack M, Savila F, Bagg W, Harwood M, Swinburn B, Goodyear-Smith F. Interventions to prevent or manage obesity in Māori and Pacific adults: a systematic review and narrative synthesis. ETHNICITY & HEALTH 2023; 28:562-585. [PMID: 35608909 DOI: 10.1080/13557858.2022.2078482] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/05/2023]
Abstract
OBJECTIVES Obesity and its sequelae are an increasing problem, disproportionally affecting Māori and Pacific peoples, secondary to multifactorial systemic causes, including the effects of colonisation and the impact of globalisation. There is limited synthesised evidence on interventions to address obesity in these populations. The objective of this review is to identify evaluated interventions for prevention and management of obesity amongst Māori and Pacific adults, assess the effectiveness of these interventions, and identify enablers and barriers to their uptake. DESIGN Systematic review of databases (Medline, PubMed, EMBASE, CINAHL, Scopus, CENTRAL), key non-indexed journals, and reference lists of included articles were searched from inception to June 2021. Eligibility criteria defined using a Population, Intervention, Control, Outcome format and study/publication characteristics. Quantitative and qualitative data were extracted and analysed using narrative syntheses. Study quality was assessed using modified GRADE approach. RESULTS From the 8190 articles identified, 21 were included, with 18 eligible for quantitative and five for qualitative analysis. The studies were heterogenous, with most graded as low quality. Some studies reported small but statistically significant improvements in weight and body mass index. Key enablers identified were social connection, making achievable sustainable lifestyle changes, culturally-centred interventions and incentives including money and enjoyment. Barriers to intervention uptake included difficulty in maintaining adherence to a programme due to intrinsic programme factors such as lack of social support and malfunctioning or lost equipment. CONCLUSIONS Normal weight trajectory is progressive increase over time. Modest weight loss or no weight gain after several years may have a positive outcome in lowering progression to diabetes, or improvement of glycaemic control in people with diabetes. We recommend urgent implementation of Māori and Pacific-led, culturally-tailored weight loss programmes that promote holistic, small and sustainable lifestyle changes delivered in socially appropriate contexts.
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Affiliation(s)
- Michaela Mack
- Department of General Practice & Primary Health Care, University of Auckland, Auckland, New Zealand
| | - F Savila
- Pacific Health, School of Population Health, University of Auckland, Auckland, New Zealand
| | - W Bagg
- Department of Medicine, University of Auckland, Auckland, New Zealand
| | - M Harwood
- Department of General Practice & Primary Health Care, University of Auckland, Auckland, New Zealand
| | - B Swinburn
- Department of Epidemiology & Biostatistics, University of Auckland, Auckland, New Zealand
| | - F Goodyear-Smith
- Department of General Practice & Primary Health Care, University of Auckland, Auckland, New Zealand
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Bohn-Goldbaum E, Cashmore A, Bauman A, Sullivan A, Fonua LR, Milat A, Reid K, Grunseit A. Team characteristics associated with weight loss in a First Nations community intervention: An observational study. Health Promot J Austr 2023; 34:9-12. [PMID: 36089699 PMCID: PMC10092725 DOI: 10.1002/hpja.663] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/21/2021] [Revised: 09/07/2022] [Accepted: 09/07/2022] [Indexed: 01/30/2023] Open
Abstract
ISSUE ADDRESSED Group-based weight-loss programs can be effective in addressing high rates of overweight and obesity among Aboriginal and Torres Strait Islander Peoples. The purpose was to determine associations between demographic and baseline weight-related variables and team weight loss in a community-based intervention as no previous studies have analysed this at a team level. METHODS Binomial models tested associations between team-level age, proportion female and baseline weight and classification as higher weight-loss team (HWT) (>50% persons losing 2.5% of initial weight) vs lower weight-loss team (LWT). Linear regressions compared HWT and LWT on diet and physical activity (PA) outcomes adjusted for age and gender. RESULTS For each 1 kg increment in mean baseline weight, a team's likelihood of higher weight loss was increased by 4% (APR: 1.04, 95%CI: 1.00, 1.08). HWTs increased vigorous PA by 0.32 sessions more than LWTs (P = .02). Fruit and vegetable intakes were not associated with team weight loss classification. CONCLUSIONS Only baseline weight and vigorous PA distinguished HWT and LWT. Promoting PA components in team-based weight-loss approaches may be beneficial as these lend themselves to group participation. SO WHAT?: Demographic and baseline weight-related variables are largely not predictive of weight loss success in group programs. Identifying other characteristics shared by HWT may help teams achieve weight loss.
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Affiliation(s)
- Erika Bohn-Goldbaum
- Faculty of Medicine and Health, Sydney School of Public Health, Prevention Research Collaboration, The University of Sydney, Camperdown, New South Wales, Australia.,The Australian Partnership for Prevention Centre, Glebe, New South Wales, Australia
| | - Aaron Cashmore
- Population and Public Health Division, NSW Ministry of Health, St Leonards, New South Wales, Australia.,Faculty of Medicine and Health, Sydney School of Public Health, The University of Sydney, Camperdown, New South Wales, Australia
| | - Adrian Bauman
- Faculty of Medicine and Health, Sydney School of Public Health, Prevention Research Collaboration, The University of Sydney, Camperdown, New South Wales, Australia.,The Australian Partnership for Prevention Centre, Glebe, New South Wales, Australia
| | - Anna Sullivan
- Population and Public Health Division, NSW Ministry of Health, St Leonards, New South Wales, Australia
| | - Lose Rose Fonua
- Population and Public Health Division, NSW Ministry of Health, St Leonards, New South Wales, Australia
| | - Andrew Milat
- Faculty of Medicine and Health, Sydney School of Public Health, Prevention Research Collaboration, The University of Sydney, Camperdown, New South Wales, Australia.,The Australian Partnership for Prevention Centre, Glebe, New South Wales, Australia.,Population and Public Health Division, NSW Ministry of Health, St Leonards, New South Wales, Australia
| | - Kate Reid
- Population and Public Health Division, NSW Ministry of Health, St Leonards, New South Wales, Australia
| | - Anne Grunseit
- Faculty of Medicine and Health, Sydney School of Public Health, Prevention Research Collaboration, The University of Sydney, Camperdown, New South Wales, Australia.,The Australian Partnership for Prevention Centre, Glebe, New South Wales, Australia
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Krakauer NY, Krakauer JC. Diet Composition, Anthropometrics, and Mortality Risk. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2022; 19:12885. [PMID: 36232184 PMCID: PMC9566505 DOI: 10.3390/ijerph191912885] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 08/18/2022] [Revised: 09/29/2022] [Accepted: 10/04/2022] [Indexed: 06/16/2023]
Abstract
While overeating is considered a cause of the obesity epidemic as quantified by body mass index (BMI), the association of diet with a body shape index (ABSI) and hip index (HI), which are transformations of waist and hip circumference that are independent of BMI and which predict mortality risk, is poorly known. We used data from the Atherosclerosis Risk in Communities (ARIC) study of about 15,000 middle-aged adults to investigate associations between macronutrient intake (energy, carbohydrate, protein, and fat, the latter two divided into plant and animal sources, all based on self-reported food frequency) with anthropometric indices (BMI, ABSI, and HI). We also analyzed the association of diet and anthropometrics with death rate during approximately 30 years of follow-up. High intake of energy and animal fat and protein was generally associated with higher ABSI and lower HI at baseline, as well as greater mortality hazard. BMI was also positively linked with animal fat and protein intake. In contrast, higher intake of carbohydrates and plant fat and protein was associated with lower ABSI and BMI, higher HI, and lower mortality hazard. For example, after adjustment for potential confounders, each standard deviation of additional plant fat intake (as a fraction of total energy) was associated with a 5% decrease in mortality rate, while animal fat intake was associated with a 5% mortality increase per standard deviation. The directions of the associations between diet and anthropometrics are consistent with those found between anthropometrics and mortality without reference to diet.
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Affiliation(s)
- Nir Y. Krakauer
- Department of Civil Engineering, City College of New York, New York, NY 10031, USA
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Palu E, MacMillan DF, McBride DKA, Thomson DR, Zarora R, Simmons D. Effects of lifestyle interventions on weight amongst Pasifika communities: A systematic review and meta-analysis. THE LANCET REGIONAL HEALTH. WESTERN PACIFIC 2022; 25:100483. [PMID: 35669931 PMCID: PMC9162936 DOI: 10.1016/j.lanwpc.2022.100483] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 06/15/2023]
Abstract
BACKGROUND Pasifika populations experience high incidence and prevalence of obesity and T2DM. However, no international review of lifestyle intervention studies amongst Pasifika communities exists. This study seeks to identify the effect and translatability of lifestyle strategies on weight amongst Pasifika populations. METHODS Lifestyle studies involving ≥90% adult Pasifika participants measuring weight change were eligible for inclusion. Database searching was carried out up to December 2021. Databases searched were MEDLINE (Ovid), EMBASE (Ovid), CINAHL (EBSCOhost) and ProQuest Central. Risk of bias was assessed using RoB2 (RCTs) and the National Heart, Lung and Blood Institute (NHLBI) quality assessment tool. Meta-analysis and meta-regression used a bivariate random-effects model. Strategies were coded against pre-identified components of the newly proposed Cultural and Sustainability Assessment of Intervention (CSAI) framework. FINDINGS Twenty-three studies (n = 4258 participants) met inclusion and exclusion criteria. Thirty-two lifestyle strategies targeting weight loss (WL) and 7 targeting weight maintenance (WM) were extracted. Meta-analysis estimates small but significant effect of -0.26 standard deviations (95% CI -0.51 to -0.02), with RCTs demonstrating a non-significant effect of -0.23 standard deviations (95% CI -0.49 to 0.035). Culturally relevant strategies included community and peer support facilitators and team-based activities. The CSAI identified 14 out of 23 studies with low cultural competency and sustainability scores (<60%). INTERPRETATION Qualitative and quantitative analysis show tailored lifestyle interventions has had an estimated small but beneficial effect on WL amongst Pasifika communities. Potential for tailored interventions design to incorporate psychosocial and behavioural considerations. The CSAI has the potential for systematically identifying cultural and sustainability components of efficacy in interventions. FUNDING This review was funded under Western Sydney University's Postgraduate Research Scholarship.
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Glover M, Kira A, McRobbie H, Kruger R, Funaki-Tahifote M, Stephen J, Breier BH, Kira G. Outcomes of a culturally informed weight-loss competition for New Zealand Indigenous and Pacific peoples: a quasi-experimental trial. BMC Nutr 2021; 7:52. [PMID: 34503549 PMCID: PMC8431855 DOI: 10.1186/s40795-021-00457-9] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/08/2020] [Accepted: 07/20/2021] [Indexed: 11/30/2022] Open
Abstract
Background Reducing obesity prevalence among marginalised subgroups with disproportionately high obesity rates is challenging. Given the promise of incentives and group-based programmes we trialled a culturally tailored, team-based weight-loss competition with New Zealand Māori (Indigenous) and Pacific Island people. Methods A quasi-experimental 12-months trial was designed. The intervention consisted of three six-months competitions, each with seven teams of seven members. Eligible participants were aged 16 years and older, with a BMI ≥30 kg/m2 and being at risk of or already diagnosed with type-2 diabetes or cardiovascular disease. Height, weight and waist circumference were measured at baseline, 6 and 12 months. Results Recruitment of a control group (n = 29) versus the intervention (n = 132) was poor and retention rates were low (52 and 27% of intervention participants were followed-up at six and 12 months, respectively). Thus, analysis of the primary outcome of individual percentage weight loss was restricted to the 6-months follow-up data. Although not significant, the intervention group appeared to lose more weight than the control group, in both the intention to treat and complete-case analyses. Conclusions The intervention promoted some behaviour change in eating behaviours, and a resulting trend toward a reduction in waist circumference. Trial registration ACTRN12617000871347 Registered 15/6/2017 Retrospectively registered. Supplementary Information The online version contains supplementary material available at 10.1186/s40795-021-00457-9.
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Affiliation(s)
- Marewa Glover
- School of Health Sciences, College of Health, Massey University, Auckland, New Zealand.
| | | | - Hayden McRobbie
- Lakes District Health Board, New Zealand and National Drug and Alcohol Research Centre, UNSW, Sydney, Australia
| | - Rozanne Kruger
- School of Sport, Exercise and Nutrition, College of Health, Massey University, Auckland, New Zealand
| | | | - Jane Stephen
- School of Health Sciences, College of Health, Massey University, Auckland, New Zealand
| | - Bernhard H Breier
- School of Sport, Exercise and Nutrition, College of Health, Massey University, Auckland, New Zealand
| | - Geoff Kira
- School of Health Sciences, College of Health, Massey University, Auckland, New Zealand
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Kim J, Kam HJ, Kim Y, Lee Y, Lee JH. Understanding Time Series Patterns of Weight and Meal History Reports in Mobile Weight Loss Intervention Programs: Data-Driven Analysis. J Med Internet Res 2020; 22:e17521. [PMID: 32780028 PMCID: PMC7448179 DOI: 10.2196/17521] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/17/2019] [Revised: 04/02/2020] [Accepted: 06/03/2020] [Indexed: 01/23/2023] Open
Abstract
Background Mobile apps for weight loss provide users with convenient features for recording lifestyle and health indicators; they have been widely used for weight loss recently. Previous studies in this field generally focused on the relationship between the cumulative nature of self-reported data and the results in weight loss at the end of the diet period. Therefore, we conducted an in-depth study to explore the relationships between adherence to self-reporting and weight loss outcomes during the weight reduction process. Objective We explored the relationship between adherence to self-reporting and weight loss outcomes during the time series weight reduction process with the following 3 research questions: “How does adherence to self-reporting of body weight and meal history change over time?”, “How do weight loss outcomes depend on weight changes over time?”, and “How does adherence to the weight loss intervention change over time by gender?” Methods We analyzed self-reported data collected weekly for 16 weeks (January 2017 to March 2018) from 684 Korean men and women who participated in a mobile weight loss intervention program provided by a mobile diet app called Noom. Analysis of variance (ANOVA) and chi-squared tests were employed to determine whether the baseline characteristics among the groups of weight loss results were different. Based on the ANOVA results and slope analysis of the trend indicating participant behavior along the time axis, we explored the relationship between adherence to self-reporting and weight loss results. Results Adherence to self-reporting levels decreased over time, as previous studies have found. BMI change patterns (ie, absolute BMI values and change in BMI values within a week) changed over time and were characterized in 3 time series periods. The relationships between the weight loss outcome and both meal history and self-reporting patterns were gender-dependent. There was no statistical association between adherence to self-reporting and weight loss outcomes in the male participants. Conclusions Although mobile technology has increased the convenience of self-reporting when dieting, it should be noted that technology itself is not the essence of weight loss. The in-depth understanding of the relationship between adherence to self-reporting and weight loss outcome found in this study may contribute to the development of better weight loss interventions in mobile environments.
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Affiliation(s)
- Junetae Kim
- Graduate School of Cancer Science and Policy, National Cancer Center, Goyang-si, Republic of Korea.,Cancer Data Center, National Cancer Control Institute, National Cancer Center, Goyang-si, Republic of Korea.,Healthcare AI Team, Healthcare Platform Center, National Cancer Center, Goyang-si, Republic of Korea
| | | | - Youngin Kim
- Noom Inc., New York, NY, United States.,Department of Biomedical Systems Informatics, Yonsei University College of Medicine, Seoul, Republic of Korea
| | - Yura Lee
- Department of Information Medicine, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Republic of Korea
| | - Jae-Ho Lee
- Department of Information Medicine, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Republic of Korea.,Department of Emergency Medicine, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Republic of Korea
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