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Meta-Analysis
. 2022 Oct 11;19(20):13059.
doi: 10.3390/ijerph192013059.

Intersectoral Actions for the Promotion and Prevention of Obesity, Diabetes and Hypertension in Brazilian Cities: A Systematic Review and Meta-Analysis

Affiliations
Meta-Analysis

Intersectoral Actions for the Promotion and Prevention of Obesity, Diabetes and Hypertension in Brazilian Cities: A Systematic Review and Meta-Analysis

Stephen Kunihiro et al. Int J Environ Res Public Health. .

Abstract

This study showed the effectiveness of biomedical interventions in obesity, diabetes and hypertension (NCDs), but innovative and intersectoral elements in the fight against obesity, type 2 diabetes and hypertension were rare.

Background: Is it possible to find effective and innovative actions to promote health and prevent NCDs in Brazilian municipalities? Can they be replicated?

Objective: Our objectives were to identify innovative and effective intersectoral actions for promoting and preventing NCDs in Brazilian municipalities.

Methods: This is a systematic review in an exploratory theoretical essay with a qualitative and quantitative approach. It is descriptive and analytical in terms of reporting findings and results. Inclusion and exclusion criteria favored health promotion work. Bias risk assessments was performed using the Cochrane GRADE and bias risk, with meta-analyses using RevMan and Iramuteq.

Results: Meta-analysis of biometric markers resulted in -4.46 [95% IC; -5.42, -3.49], p = 0.00001, indicating a reduction in NCD risk rates. The textual meta-analysis revealed P(r) ≈ 83% (Reinert), meaning low connectivity between the 'halos'.

Conclusions: There is evidence of the effectiveness in interventions, but innovative and intersectoral elements to combat and prevent NCDs were barely seen. While evidence of intervention effectiveness was observed, innovative and intersectoral elements to combat and prevent NCDs were barely noticed.

Keywords: NCDs; diabetes mellitus; hypertension; intersectoral actions; non-communicable chronic diseases; obesity; prevention of diseases.

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Conflict of interest statement

The authors declare no conflict of interest.

Figures

Figure 1
Figure 1
Systematic review diagram. Source: Prepared by the authors, adapted from the diagram proposed by Boers and Mayo-Wilson [39,40].
Scheme 1
Scheme 1
Study bias risk analysis. Source: Prepared by the authors using ROB2 9th edition [33,37,69].
Figure 2
Figure 2
Analysis of the risk of bias results. Source: Prepared by the authors using Minitab® 19 software [39,70]. (Some information contained in this publication is printed with permission of Minitab, LLC.).
Scheme 2
Scheme 2
Meta-analysis of studies. Source: prepared by the authors using RevMan® 5.4.1 software [33,37,72,73].
Scheme 3
Scheme 3
Pooled meta-analysis of biomarker intervention studies. Source: prepared by the authors using RevMan® 5.4.1 software [33,37,73].
Scheme 4
Scheme 4
Funnel plot of the pooled meta-analysis of biomarker intervention studies. Source: prepared by the authors using RevMan 5.4.1 software [33,37,73].
Figure 3
Figure 3
Analysis of similarity of studies. Source: Prepared by the authors using Iramuteq® software [35,79].

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