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The effectiveness of digital interventions for increasing physical activity in individuals of low socioeconomic status: a systematic review and meta-analysis.
Western, MJ, Armstrong, MEG, Islam, I, Morgan, K, Jones, UF, Kelson, MJ
The international journal of behavioral nutrition and physical activity. 2021;18(1):148
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Low physical activity levels are responsible for many non-communicable diseases and a huge cost to health services. Low socioeconomic status is associated with lower physical activity levels and therefore it is important to increase activity amongst this group of people. The use of digital technologies to increase exercise has become popular in recent years, however it is unknown whether they have differing effectiveness depending on the socioeconomic status of the user. This systematic review and meta-analysis of 19 studies aimed to determine whether digital technologies which target physical activity levels are beneficial for those from low socioeconomic status. The results showed that digital interventions targeting activity have differing effectiveness depending on the socioeconomic status, with those from high socioeconomic status benefitting from these interventions, and those from a low socioeconomic status did not. It was concluded that future technologies need to be tailored to target individuals from low socioeconomic status to improve effectiveness. This study could be used by healthcare professionals to understand that digital technologies designed to increase physical activity may not be sufficient for individuals from a low socioeconomic status and extra support and guidance may be needed.
Abstract
BACKGROUND Digital technologies such as wearables, websites and mobile applications are increasingly used in interventions targeting physical activity (PA). Increasing access to such technologies makes an attractive prospect for helping individuals of low socioeconomic status (SES) in becoming more active and healthier. However, little is known about their effectiveness in such populations. The aim of this systematic review was to explore whether digital interventions were effective in promoting PA in low SES populations, whether interventions are of equal benefit to higher SES individuals and whether the number or type of behaviour change techniques (BCTs) used in digital PA interventions was associated with intervention effects. METHODS A systematic search strategy was used to identify eligible studies from MEDLINE, Embase, PsycINFO, Web of Science, Scopus and The Cochrane Library, published between January 1990 and March 2020. Randomised controlled trials, using digital technology as the primary intervention tool, and a control group that did not receive any digital technology-based intervention were included, provided they had a measure of PA as an outcome. Lastly, studies that did not have any measure of SES were excluded from the review. Risk of Bias was assessed using the Cochrane Risk of Bias tool version 2. RESULTS Of the 14,589 records initially identified, 19 studies were included in the final meta-analysis. Using random-effects models, in low SES there was a standardised mean difference (SMD (95%CI)) in PA between intervention and control groups of 0.06 (- 0.08,0.20). In high SES the SMD was 0.34 (0.22,0.45). Heterogeneity was modest in both low (I2 = 0.18) and high (I2 = 0) SES groups. The studies used a range of digital technologies and BCTs in their interventions, but the main findings were consistent across all of the sub-group analyses (digital interventions with a PA only focus, country, chronic disease, and duration of intervention) and there was no association with the number or type of BCTs. DISCUSSION Digital interventions targeting PA do not show equivalent efficacy for people of low and high SES. For people of low SES, there is no evidence that digital PA interventions are effective, irrespective of the behaviour change techniques used. In contrast, the same interventions in high SES participants do indicate effectiveness. To reduce inequalities and improve effectiveness, future development of digital interventions aimed at improving PA must make more effort to meet the needs of low SES people within the target population.
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The impact of educational attainment on cardiorespiratory fitness and metabolic syndrome in Korean adults.
Chang, M, Lee, HY, Seo, SM, Koh, YS, Park, HJ, Kim, PJ, Seung, KB
Medicine. 2020;99(17):e19865
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Lower socioeconomic status is associated with worse health outcomes, and in particular with cardiovascular disease and metabolic syndrome. This association is thought to be mediated through lifestyle factors such as physical activity, diet and smoking. Level of education is commonly used as an indicator for socioeconomic status. This Korean cross-sectional study, involving 988 healthy adults, evaluated the association between level of education (<12 years, 12-16 years, >16 years), cardiorespiratory fitness (CRF) and metabolic syndrome. People in the highest education group were more likely to be younger and male. There was no difference in the prevalence of metabolic syndrome, hypertension or diabetes mellitus between the three educational attainment groups, 36.1% overall had metabolic syndrome. There was also no difference in dyslipidaemia, physical activity or smoking status. Whilst BMI was similar in all groups, the higher the level of education, the lower the body fat and the higher lean mass and CRF were. Although education was not associated with metabolic syndrome, better CRF was associated with lower rates of metabolic syndrome. Limitations of the study as pointed out by the authors include the retrospective design and a potentially non-representative sample.
Abstract
The aim of this study was to evaluate the relationship between educational attainment and cardiorespiratory fitness (CRF) as a predictor of metabolic syndrome in a Korean population.In this single-center, retrospective cross-sectional study, 988 healthy adults (601 men and 387 women) who underwent regular health check-up in Seoul St. Mary's Hospital were analyzed. Educational attainment was categorized into 3 groups according to their final grade of educational course: middle or high school (≤12 years of education), college or university (12-16 years of education), and postgraduate (≥16 years of education). CRF was assessed by cardiopulmonary exercise testing, biceps strength, hand grip strength, bioelectrical impedance analysis, and echocardiography. Metabolic syndrome was diagnosed according to the 3rd report of the National Cholesterol Education Program.Among the subjects, 357 (36.1%) had metabolic syndrome. The postgraduate group had significantly higher peak oxygen consumption (VO2), biceps strength, hand grip strength, and peak expiratory flow than other groups (all P < .001). This group showed better left ventricular diastolic function, in terms of deceleration time of mitral inflow, maximal tricuspid valve regurgitation velocity, and left atrial volume index than other groups. Peak VO2 (%) was significantly correlated with all the parameters of metabolic syndrome, including insulin resistance (r = -0.106, P = .002), waist circumference (r = -0.387, P < .001), triglyceride (r = -0.109, P = .001), high density lipoprotein-cholesterol (r = 0.219, P < .001), systolic blood pressure (r = -0.143, P < .001), and diastolic blood pressure (r = -0.177, P < .001). And Peak VO2 (%) was found to be a predictor of metabolic syndrome (adjusted β = .988, P < .001). However, the level of education was not able to predict metabolic syndrome (postgraduate group; β = .955, P = .801).Although the postgraduate group had better CRF than other groups, the educational attainment could not exclusively predict metabolic syndrome in this study. Further research is needed to reveal the socioeconomic mechanism of developing metabolic syndrome.
3.
Dietary and Policy Priorities for Cardiovascular Disease, Diabetes, and Obesity: A Comprehensive Review.
Mozaffarian, D
Circulation. 2016;133(2):187-225
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Diet-related cardiometabolic conditions, such as heart disease and diabetes, pose a significant health and economic burden across the world. In recent years, scientific advances and research have generated enormous insights, yet there remain many controversies and unanswered questions. This extensive review summarizes recent evidence of key-dietary components and their impact on cardiometabolic health. Amongst the topics covered are dietary patterns, food quality and processing, genetics, personalized nutrition, supplements, functional foods and the existing knowledge on selected food groups such as carbohydrates, meat and fats alongside relevant vitamins, minerals and plant compounds. The author highlights how an oversimplified concept of nutrition from previous decades, has led to an array of conflicting advice and undermined the nuanced and complex impact that diet and nutrition can have on the body. Thus in light of the evidence, food-based interventions and dietary patterns are suggested as favourable, with less focus on dietary components in isolation. Throughout the paper, the need for adjunct support to facilitate sustainable health-promoting behaviour changes is recognized. Calling for additional measures to address behaviour change, health systems reforms, targeting socioeconomic inequalities, employing novel technologies, and adequate policymaking. This overview of recent evidence yields a comprehensive source of information, worthwhile reviewing when designing personalised diet plans in support of cardiometabolic health.
Abstract
Suboptimal nutrition is a leading cause of poor health. Nutrition and policy science have advanced rapidly, creating confusion yet also providing powerful opportunities to reduce the adverse health and economic impacts of poor diets. This review considers the history, new evidence, controversies, and corresponding lessons for modern dietary and policy priorities for cardiovascular diseases, obesity, and diabetes mellitus. Major identified themes include the importance of evaluating the full diversity of diet-related risk pathways, not only blood lipids or obesity; focusing on foods and overall diet patterns, rather than single isolated nutrients; recognizing the complex influences of different foods on long-term weight regulation, rather than simply counting calories; and characterizing and implementing evidence-based strategies, including policy approaches, for lifestyle change. Evidence-informed dietary priorities include increased fruits, nonstarchy vegetables, nuts, legumes, fish, vegetable oils, yogurt, and minimally processed whole grains; and fewer red meats, processed (eg, sodium-preserved) meats, and foods rich in refined grains, starch, added sugars, salt, and trans fat. More investigation is needed on the cardiometabolic effects of phenolics, dairy fat, probiotics, fermentation, coffee, tea, cocoa, eggs, specific vegetable and tropical oils, vitamin D, individual fatty acids, and diet-microbiome interactions. Little evidence to date supports the cardiometabolic relevance of other popular priorities: eg, local, organic, grass-fed, farmed/wild, or non-genetically modified. Evidence-based personalized nutrition appears to depend more on nongenetic characteristics (eg, physical activity, abdominal adiposity, gender, socioeconomic status, culture) than genetic factors. Food choices must be strongly supported by clinical behavior change efforts, health systems reforms, novel technologies, and robust policy strategies targeting economic incentives, schools and workplaces, neighborhood environments, and the food system. Scientific advances provide crucial new insights on optimal targets and best practices to reduce the burdens of diet-related cardiometabolic diseases.