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      Development and evaluation of a digital, community-based intervention to reduce noncommunicable disease risk in a low-resource urban setting in Malaysia: a research protocol

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          Abstract

          Background

          Noncommunicable disease burden is rising in Malaysia, accounting for 72% of all deaths. Urbanization and globalization have contributed to changing patterns of diet and physical activity, creating an obesogenic environment that increases noncommunicable disease risk, especially in low-income populations. Community-based and technological interventions can play an important role in addressing structural determinants that influence noncommunicable disease burden. The Better Health Programme Malaysia aims to co-create and develop a community-based digital intervention for low-income populations to enable community stakeholders to address obesogenic environments and improve people’s knowledge, attitudes, and practices related to noncommunicable disease risk.

          Methods

          This quasi-experimental study will assess community member and community health volunteer knowledge, attitudes, and practices on noncommunicable disease prevention, risk factors, and health-seeking behavior in three geographical areas of Kuala Lumpur, each representing a different ethnicity (Malay, Indian, and Chinese). Assessment will take place before and after a 9-month intervention period, comparing intervention areas with matched control geographies. We plan to engage 2880 community members and 45 community health volunteers across the six geographic areas. A digital health needs assessment will inform modification of digital health tools to support project aims. Intervention co-creation will use a discrete choice experiment to identify community preferences among evidence-based intervention options, building from data collected on community knowledge, attitudes, and practices. Community health volunteers will work with local businesses and other stakeholders to effect change in obesogenic environments and NCD risk. The study has been approved by the Malaysian Ministry of Health Medical Research Ethical Committee.

          Discussion

          The Better Health Programme Malaysia anticipates a bottom-up approach that relies on community health volunteers collaborating with local businesses to implement activities that address obesogenic environments and improve community knowledge, attitudes, and practices related to NCD risk. The planned co-creation process will determine which interventions will be most locally relevant, feasible, and needed. The effort aims to empower community members and community health volunteers to drive change that improves their own health and wellbeing. The learnings can be useful nationally and sub-nationally in Malaysia, as well as across similar settings that are working with community stakeholders to reduce noncommunicable disease risk.

          Trial registration

          National Medical Research Register, Malaysia; NMRR-20-1004-54787 (IIR); July 7, 2020

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          Most cited references15

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          The overweight and obesity transition from the wealthy to the poor in low- and middle-income countries: A survey of household data from 103 countries

          Background In high-income countries, obesity prevalence (body mass index greater than or equal to 30 kg/m2) is highest among the poor, while overweight (body mass index greater than or equal to 25 kg/m2) is prevalent across all wealth groups. In contrast, in low-income countries, the prevalence of overweight and obesity is higher among wealthier individuals than among poorer individuals. We characterize the transition of overweight and obesity from wealthier to poorer populations as countries develop, and project the burden of overweight and obesity among the poor for 103 countries. Methods and findings Our sample used 182 Demographic and Health Surveys and World Health Surveys (n = 2.24 million respondents) from 1995 to 2016. We created a standard wealth index using household assets common among all surveys and linked national wealth by country and year identifiers. We then estimated the changing probability of overweight and obesity across every wealth decile as countries’ per capita gross domestic product (GDP) rises using logistic and linear fixed-effect regression models. We found that obesity rates among the wealthiest decile were relatively stable with increasing national wealth, and the changing gradient was largely due to increasing obesity prevalence among poorer populations (3.5% [95% uncertainty interval: 0.0%–8.3%] to 14.3% [9.7%–19.0%]). Overweight prevalence among the richest (45.0% [35.6%–54.4%]) and the poorest (45.5% [35.9%–55.0%]) were roughly equal in high-income settings. At $8,000 GDP per capita, the adjusted probability of being obese was no longer highest in the richest decile, and the same was true of overweight at $10,000. Above $25,000, individuals in the richest decile were less likely than those in the poorest decile to be obese, and the same was true of overweight at $50,000. We then projected overweight and obesity rates by wealth decile to 2040 for all countries to quantify the expected rise in prevalence in the relatively poor. Our projections indicated that, if past trends continued, the number of people who are poor and overweight will increase in our study countries by a median 84.4% (range 3.54%–383.4%), most prominently in low-income countries. The main limitations of this study included the inclusion of cross-sectional, self-reported data, possible reverse causality of overweight and obesity on wealth, and the lack of physical activity and food price data. Conclusions Our findings indicate that as countries develop economically, overweight prevalence increased substantially among the poorest and stayed mostly unchanged among the wealthiest. The relative poor in upper- and lower-middle income countries may have the greatest burden, indicating important planning and targeting needs for national health programs.
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            What is driving global obesity trends? Globalization or “modernization”?

            Background Worldwide obesity has more than doubled since 1980. Researchers have attributed rising obesity rates to factors related to globalization processes, which are believed to contribute to obesity by flooding low-income country markets with inexpensive but obesogenic foods and diffusing Western-style fast food outlets (dependency/world systems theory). However, alternative explanations include domestic factors such as increases in unhealthy food consumption in response to rising income and higher women’s labor force participation as countries develop economically (“modernization” theory). To what extent are processes of globalization driving rising global overweight/obesity rates versus domestic economic and social development processes? This study evaluates the influence of economic globalization versus economic development and associated processes on global weight gain. Results Using two-way fixed-effects OLS regression with a panel dataset of mean body weight for 190-countries over a 30-year period (1980–2008), we find that domestic factors associated with “modernization” including increasing GDP per capita, urbanization and women’s empowerment were associated with increases in mean BMI over time. There was also evidence of a curvilinear relationship between GDP per capita and BMI: among low income countries, economic growth predicted increases in BMI whereas among high-income countries, higher GDP predicted lower BMI. By contrast, economic globalization (dependency/world systems theory) did not significantly predict increases in mean BMI and cultural globalization had mixed effects. These results were robust to different model specifications, imputation approaches and variable transformations. Discussion Global increases in overweight/obesity appear to be driven more by domestic processes including economic development, urbanization and women’s empowerment, and are less clearly negatively impacted by external globalization processes suggesting that the harms to health from global trade regimes may be overstated. Electronic supplementary material The online version of this article (10.1186/s12992-019-0457-y) contains supplementary material, which is available to authorized users.
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              A systematic review and meta-analysis of whole of community interventions to prevent excessive population weight gain.

              Population-based, 'whole of community' interventions utilise community engagement processes and implement multiple strategies to improve the health of populations defined by geographical boundaries (i.e. cities, villages or regions). The aim of the review was to systematically assess the current state of knowledge about the effectiveness of population-based whole of community interventions in preventing excessive population weight gain. Systematic searches of electronic databases (1990-2011) and reference lists of included trials and previous reviews were conducted to identify interventions to prevent excessive weight gain. Population-based, whole of community interventions were defined as those targeting the weight status of a population characterised along geographical boundaries. The review included eight trials. All of the identified trials targeted children or adolescents. Seven trials reported a significant effect favouring the intervention on at least one measure of adiposity. Meta-analysis of six trials revealed a small reduction in BMI z-score among participants in intervention communities (mean difference (MD) -0.09; 95% confidence interval (CI) -0.16 to -0.02). The review suggests that population-based, whole of community interventions can be effective in achieving modest reductions in population weight gain among children. Copyright © 2014 Elsevier Inc. All rights reserved.
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                Author and article information

                Contributors
                ikataria@rti.org
                Journal
                Implement Sci Commun
                Implement Sci Commun
                Implementation Science Communications
                BioMed Central (London )
                2662-2211
                7 October 2020
                7 October 2020
                2020
                : 1
                : 87
                Affiliations
                [1 ]Center for Global Noncommunicable Diseases, RTI International, New Delhi, India
                [2 ]GRID grid.62562.35, ISNI 0000000100301493, Center for Global Noncommunicable Diseases, , RTI International, ; Seattle, USA
                [3 ]RTI International, Kuala Lumpur, Malaysia
                [4 ]Better Health Programme Southeast Asia, Yangon, Myanmar
                [5 ]GRID grid.415759.b, ISNI 0000 0001 0690 5255, Ministry of Health, ; Putrajaya, Malaysia
                [6 ]British High Commission, Kuala Lumpur, Malaysia
                [7 ]GRID grid.271308.f, ISNI 0000 0004 5909 016X, Public Health England, ; London, UK
                Author information
                http://orcid.org/0000-0002-8483-8243
                Article
                80
                10.1186/s43058-020-00080-y
                7538851
                33033807
                c0d22b9f-85a3-41a6-b6df-3a204c02594c
                © The Author(s) 2020

                Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver ( http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.

                History
                : 8 September 2020
                : 21 September 2020
                Funding
                Funded by: The Secretary of State for Foreign and Commonwealth Affairs of the United Kingdom via PricewaterhouseCoopers Consulting (Singapore) Pte Ltd
                Categories
                Study Protocol
                Custom metadata
                © The Author(s) 2020

                noncommunicable diseases,community health volunteer,digital health,kospen,intervention,malaysia

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