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      Association between socioeconomic level and cardiovascular risk in the Peruvian population

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          ABSTRACT

          OBJECTIVE

          To determine the association between socioeconomic level and the presence of obesity, hypertension and type 2 diabetes mellitus in the Peruvian population.

          METHODS

          Secondary analysis of data from the National Demographic and Family Health Survey ( Encuesta Nacional Demográfica y de Salud Familiar , Endes) from 2018 to 2020. The outcomes were obesity, hypertension, and type 2 diabetes mellitus. The exposure variables were two indicators of socioeconomic status: educational level (< 7 years, 7–11 years, and 12+ years) and wealth index (in tertiles). Models were created using Poisson regression, reporting prevalence ratios (PR) and 95% confidence intervals (95%CI).

          RESULTS

          Data from 98,846 subjects were analyzed. Mean age: 45.3 (SD: 16.0) years, and 55.5% were women. The prevalence of obesity was 26.0% (95%CI: 25.4–26.6); of hypertension, 24.9% (95%CI: 24.3–25.5); and of type 2 diabetes mellitus, 4.8% (95%CI: 4.5–5.1). In multivariate model, and compared with those with a low wealth index, those with a high wealth index had a higher prevalence of obesity (PR = 1.49; 95%CI: 1.38–1.62), hypertension (PR = 1.09; 95%CI: 1.02–1.17) and type 2 diabetes mellitus (PR = 1.72; 95%CI: 1.29–2.29). On the other hand, higher educational level was only associated with a reduction in the prevalence of obesity (PR = 0.89; 95%CI: 0.84–0.95).

          CONCLUSIONS

          There is a differential association between the wealth index, educational level and markers of noncommunicable diseases. There is evidence of a positive association between wealth index and obesity, hypertension and type 2 diabetes mellitus, whereas educational level was only negatively associated with obesity.

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          Most cited references32

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          Worldwide trends in body-mass index, underweight, overweight, and obesity from 1975 to 2016: a pooled analysis of 2416 population-based measurement studies in 128·9 million children, adolescents, and adults

          Summary Background Underweight, overweight, and obesity in childhood and adolescence are associated with adverse health consequences throughout the life-course. Our aim was to estimate worldwide trends in mean body-mass index (BMI) and a comprehensive set of BMI categories that cover underweight to obesity in children and adolescents, and to compare trends with those of adults. Methods We pooled 2416 population-based studies with measurements of height and weight on 128·9 million participants aged 5 years and older, including 31·5 million aged 5–19 years. We used a Bayesian hierarchical model to estimate trends from 1975 to 2016 in 200 countries for mean BMI and for prevalence of BMI in the following categories for children and adolescents aged 5–19 years: more than 2 SD below the median of the WHO growth reference for children and adolescents (referred to as moderate and severe underweight hereafter), 2 SD to more than 1 SD below the median (mild underweight), 1 SD below the median to 1 SD above the median (healthy weight), more than 1 SD to 2 SD above the median (overweight but not obese), and more than 2 SD above the median (obesity). Findings Regional change in age-standardised mean BMI in girls from 1975 to 2016 ranged from virtually no change (−0·01 kg/m2 per decade; 95% credible interval −0·42 to 0·39, posterior probability [PP] of the observed decrease being a true decrease=0·5098) in eastern Europe to an increase of 1·00 kg/m2 per decade (0·69–1·35, PP>0·9999) in central Latin America and an increase of 0·95 kg/m2 per decade (0·64–1·25, PP>0·9999) in Polynesia and Micronesia. The range for boys was from a non-significant increase of 0·09 kg/m2 per decade (−0·33 to 0·49, PP=0·6926) in eastern Europe to an increase of 0·77 kg/m2 per decade (0·50–1·06, PP>0·9999) in Polynesia and Micronesia. Trends in mean BMI have recently flattened in northwestern Europe and the high-income English-speaking and Asia-Pacific regions for both sexes, southwestern Europe for boys, and central and Andean Latin America for girls. By contrast, the rise in BMI has accelerated in east and south Asia for both sexes, and southeast Asia for boys. Global age-standardised prevalence of obesity increased from 0·7% (0·4–1·2) in 1975 to 5·6% (4·8–6·5) in 2016 in girls, and from 0·9% (0·5–1·3) in 1975 to 7·8% (6·7–9·1) in 2016 in boys; the prevalence of moderate and severe underweight decreased from 9·2% (6·0–12·9) in 1975 to 8·4% (6·8–10·1) in 2016 in girls and from 14·8% (10·4–19·5) in 1975 to 12·4% (10·3–14·5) in 2016 in boys. Prevalence of moderate and severe underweight was highest in India, at 22·7% (16·7–29·6) among girls and 30·7% (23·5–38·0) among boys. Prevalence of obesity was more than 30% in girls in Nauru, the Cook Islands, and Palau; and boys in the Cook Islands, Nauru, Palau, Niue, and American Samoa in 2016. Prevalence of obesity was about 20% or more in several countries in Polynesia and Micronesia, the Middle East and north Africa, the Caribbean, and the USA. In 2016, 75 (44–117) million girls and 117 (70–178) million boys worldwide were moderately or severely underweight. In the same year, 50 (24–89) million girls and 74 (39–125) million boys worldwide were obese. Interpretation The rising trends in children's and adolescents' BMI have plateaued in many high-income countries, albeit at high levels, but have accelerated in parts of Asia, with trends no longer correlated with those of adults. Funding Wellcome Trust, AstraZeneca Young Health Programme.
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            Worldwide trends in diabetes since 1980: a pooled analysis of 751 population-based studies with 4·4 million participants

            Summary Background One of the global targets for non-communicable diseases is to halt, by 2025, the rise in the age-standardised adult prevalence of diabetes at its 2010 levels. We aimed to estimate worldwide trends in diabetes, how likely it is for countries to achieve the global target, and how changes in prevalence, together with population growth and ageing, are affecting the number of adults with diabetes. Methods We pooled data from population-based studies that had collected data on diabetes through measurement of its biomarkers. We used a Bayesian hierarchical model to estimate trends in diabetes prevalence—defined as fasting plasma glucose of 7·0 mmol/L or higher, or history of diagnosis with diabetes, or use of insulin or oral hypoglycaemic drugs—in 200 countries and territories in 21 regions, by sex and from 1980 to 2014. We also calculated the posterior probability of meeting the global diabetes target if post-2000 trends continue. Findings We used data from 751 studies including 4 372 000 adults from 146 of the 200 countries we make estimates for. Global age-standardised diabetes prevalence increased from 4·3% (95% credible interval 2·4–7·0) in 1980 to 9·0% (7·2–11·1) in 2014 in men, and from 5·0% (2·9–7·9) to 7·9% (6·4–9·7) in women. The number of adults with diabetes in the world increased from 108 million in 1980 to 422 million in 2014 (28·5% due to the rise in prevalence, 39·7% due to population growth and ageing, and 31·8% due to interaction of these two factors). Age-standardised adult diabetes prevalence in 2014 was lowest in northwestern Europe, and highest in Polynesia and Micronesia, at nearly 25%, followed by Melanesia and the Middle East and north Africa. Between 1980 and 2014 there was little change in age-standardised diabetes prevalence in adult women in continental western Europe, although crude prevalence rose because of ageing of the population. By contrast, age-standardised adult prevalence rose by 15 percentage points in men and women in Polynesia and Micronesia. In 2014, American Samoa had the highest national prevalence of diabetes (>30% in both sexes), with age-standardised adult prevalence also higher than 25% in some other islands in Polynesia and Micronesia. If post-2000 trends continue, the probability of meeting the global target of halting the rise in the prevalence of diabetes by 2025 at the 2010 level worldwide is lower than 1% for men and is 1% for women. Only nine countries for men and 29 countries for women, mostly in western Europe, have a 50% or higher probability of meeting the global target. Interpretation Since 1980, age-standardised diabetes prevalence in adults has increased, or at best remained unchanged, in every country. Together with population growth and ageing, this rise has led to a near quadrupling of the number of adults with diabetes worldwide. The burden of diabetes, both in terms of prevalence and number of adults affected, has increased faster in low-income and middle-income countries than in high-income countries. Funding Wellcome Trust.
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              Worldwide trends in blood pressure from 1975 to 2015: a pooled analysis of 1479 population-based measurement studies with 19·1 million participants

              Summary Background Raised blood pressure is an important risk factor for cardiovascular diseases and chronic kidney disease. We estimated worldwide trends in mean systolic and mean diastolic blood pressure, and the prevalence of, and number of people with, raised blood pressure, defined as systolic blood pressure of 140 mm Hg or higher or diastolic blood pressure of 90 mm Hg or higher. Methods For this analysis, we pooled national, subnational, or community population-based studies that had measured blood pressure in adults aged 18 years and older. We used a Bayesian hierarchical model to estimate trends from 1975 to 2015 in mean systolic and mean diastolic blood pressure, and the prevalence of raised blood pressure for 200 countries. We calculated the contributions of changes in prevalence versus population growth and ageing to the increase in the number of adults with raised blood pressure. Findings We pooled 1479 studies that had measured the blood pressures of 19·1 million adults. Global age-standardised mean systolic blood pressure in 2015 was 127·0 mm Hg (95% credible interval 125·7–128·3) in men and 122·3 mm Hg (121·0–123·6) in women; age-standardised mean diastolic blood pressure was 78·7 mm Hg (77·9–79·5) for men and 76·7 mm Hg (75·9–77·6) for women. Global age-standardised prevalence of raised blood pressure was 24·1% (21·4–27·1) in men and 20·1% (17·8–22·5) in women in 2015. Mean systolic and mean diastolic blood pressure decreased substantially from 1975 to 2015 in high-income western and Asia Pacific countries, moving these countries from having some of the highest worldwide blood pressure in 1975 to the lowest in 2015. Mean blood pressure also decreased in women in central and eastern Europe, Latin America and the Caribbean, and, more recently, central Asia, Middle East, and north Africa, but the estimated trends in these super-regions had larger uncertainty than in high-income super-regions. By contrast, mean blood pressure might have increased in east and southeast Asia, south Asia, Oceania, and sub-Saharan Africa. In 2015, central and eastern Europe, sub-Saharan Africa, and south Asia had the highest blood pressure levels. Prevalence of raised blood pressure decreased in high-income and some middle-income countries; it remained unchanged elsewhere. The number of adults with raised blood pressure increased from 594 million in 1975 to 1·13 billion in 2015, with the increase largely in low-income and middle-income countries. The global increase in the number of adults with raised blood pressure is a net effect of increase due to population growth and ageing, and decrease due to declining age-specific prevalence. Interpretation During the past four decades, the highest worldwide blood pressure levels have shifted from high-income countries to low-income countries in south Asia and sub-Saharan Africa due to opposite trends, while blood pressure has been persistently high in central and eastern Europe. Funding Wellcome Trust.
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                Author and article information

                Journal
                Rev Saude Publica
                Rev Saude Publica
                rsp
                Revista de Saúde Pública
                Faculdade de Saúde Pública da Universidade de São Paulo
                0034-8910
                1518-8787
                19 October 2022
                2022
                : 56
                : 91
                Affiliations
                [I ] orgnameUniversidad Científica del Sur orgdiv1Facultad de Ciencias de la Salud Lima Perú original Universidad Científica del Sur . Facultad de Ciencias de la Salud . Lima , Lima, Perú
                [II ] orgnameUniversidad Peruana Cayetano Heredia orgdiv1Centro de Excelencia en Enfermedades Crónicas Lima Perú original Universidad Peruana Cayetano Heredia . Centro de Excelencia en Enfermedades Crónicas . Lima , Lima, Perú
                [I ] Perú originalUniversidad Científica del Sur. Facultad de Ciencias de la Salud. Lima, Lima, Perú
                [II ] Perú originalUniversidad Peruana Cayetano Heredia. Centro de Excelencia en Enfermedades Crónicas. Lima, Lima, Perú
                Author notes
                Correspondence: Antonio Bernabe-Ortiz Universidad Científica del Sur Carr Panamericana Sur, km 19 Villa El Salvador, Lima, Perú E-mail: abernabeo@ 123456cientifica.edu.pe

                Authors’ Contribution: Study design and planning: SKC-A, LMR-P, AB-O. Data collection, analysis and interpretation: SKC-A, LMR-P, AB-O. Drafting or revising the manuscript: SKC-A, LMR-P, AB-O. Approval of the final version: SKC-A, LMR-P, AB-O. Public responsibility for the article content: AB-O.

                Conflict of Interest: The authors declare no conflict of interest.

                Correspondencia: Antonio Bernabe-Ortiz Universidad Científica del Sur Carr Panamericana Sur, km 19 Villa El Salvador, Lima, Perú E-mail: abernabeo@cientifica.edu.pe

                Contribución de los autores: Diseño y planificación del estudio: SKC-A, LMR-P, AB-O. Recopilación, análisis e interpretación de los datos: SKC-A, LMR-P, AB-O. Redacción o revisión del manuscrito: SKC-A, LMR-P, AB-O. Aprobación de la versión final: SKC-A, LMR-P, AB-O. Responsabilidad pública por el contenido del artículo: AB-O.

                Conflicto de Intereses: Los autores declaran no haber conflicto de intereses.

                Author information
                https://orcid.org/0000-0003-1604-8968
                https://orcid.org/0000-0001-7809-2070
                https://orcid.org/0000-0002-6834-1376
                Article
                00275
                10.11606/s1518-8787.2022056004132
                9586518
                36287488
                7c0b1722-45e3-4162-8a28-1d280ceaebca

                This is an Open Access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

                History
                : 10 August 2021
                : 22 November 2021
                Page count
                Figures: 0, Tables: 6, Equations: 0, References: 30
                Categories
                Original Article

                chronic disease, epidemiology,heart disease risk factors,risk factors,socioeconomic factors,peru

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