4
views
0
recommends
+1 Recommend
0 collections
    0
    shares
      • Record: found
      • Abstract: found
      • Article: found
      Is Open Access

      Shop-to-Stop Hypertension: A multicenter cluster-randomized controlled trial protocol to improve screening and text message follow-up of adults with high blood pressure at health kiosks in hardware retail stores

      Read this article at

      Bookmark
          There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.

          Related collections

          Most cited references20

          • Record: found
          • Abstract: found
          • Article: found
          Is Open Access

          Global burden of 87 risk factors in 204 countries and territories, 1990–2019: a systematic analysis for the Global Burden of Disease Study 2019

          Summary Background Rigorous analysis of levels and trends in exposure to leading risk factors and quantification of their effect on human health are important to identify where public health is making progress and in which cases current efforts are inadequate. The Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) 2019 provides a standardised and comprehensive assessment of the magnitude of risk factor exposure, relative risk, and attributable burden of disease. Methods GBD 2019 estimated attributable mortality, years of life lost (YLLs), years of life lived with disability (YLDs), and disability-adjusted life-years (DALYs) for 87 risk factors and combinations of risk factors, at the global level, regionally, and for 204 countries and territories. GBD uses a hierarchical list of risk factors so that specific risk factors (eg, sodium intake), and related aggregates (eg, diet quality), are both evaluated. This method has six analytical steps. (1) We included 560 risk–outcome pairs that met criteria for convincing or probable evidence on the basis of research studies. 12 risk–outcome pairs included in GBD 2017 no longer met inclusion criteria and 47 risk–outcome pairs for risks already included in GBD 2017 were added based on new evidence. (2) Relative risks were estimated as a function of exposure based on published systematic reviews, 81 systematic reviews done for GBD 2019, and meta-regression. (3) Levels of exposure in each age-sex-location-year included in the study were estimated based on all available data sources using spatiotemporal Gaussian process regression, DisMod-MR 2.1, a Bayesian meta-regression method, or alternative methods. (4) We determined, from published trials or cohort studies, the level of exposure associated with minimum risk, called the theoretical minimum risk exposure level. (5) Attributable deaths, YLLs, YLDs, and DALYs were computed by multiplying population attributable fractions (PAFs) by the relevant outcome quantity for each age-sex-location-year. (6) PAFs and attributable burden for combinations of risk factors were estimated taking into account mediation of different risk factors through other risk factors. Across all six analytical steps, 30 652 distinct data sources were used in the analysis. Uncertainty in each step of the analysis was propagated into the final estimates of attributable burden. Exposure levels for dichotomous, polytomous, and continuous risk factors were summarised with use of the summary exposure value to facilitate comparisons over time, across location, and across risks. Because the entire time series from 1990 to 2019 has been re-estimated with use of consistent data and methods, these results supersede previously published GBD estimates of attributable burden. Findings The largest declines in risk exposure from 2010 to 2019 were among a set of risks that are strongly linked to social and economic development, including household air pollution; unsafe water, sanitation, and handwashing; and child growth failure. Global declines also occurred for tobacco smoking and lead exposure. The largest increases in risk exposure were for ambient particulate matter pollution, drug use, high fasting plasma glucose, and high body-mass index. In 2019, the leading Level 2 risk factor globally for attributable deaths was high systolic blood pressure, which accounted for 10·8 million (95% uncertainty interval [UI] 9·51–12·1) deaths (19·2% [16·9–21·3] of all deaths in 2019), followed by tobacco (smoked, second-hand, and chewing), which accounted for 8·71 million (8·12–9·31) deaths (15·4% [14·6–16·2] of all deaths in 2019). The leading Level 2 risk factor for attributable DALYs globally in 2019 was child and maternal malnutrition, which largely affects health in the youngest age groups and accounted for 295 million (253–350) DALYs (11·6% [10·3–13·1] of all global DALYs that year). The risk factor burden varied considerably in 2019 between age groups and locations. Among children aged 0–9 years, the three leading detailed risk factors for attributable DALYs were all related to malnutrition. Iron deficiency was the leading risk factor for those aged 10–24 years, alcohol use for those aged 25–49 years, and high systolic blood pressure for those aged 50–74 years and 75 years and older. Interpretation Overall, the record for reducing exposure to harmful risks over the past three decades is poor. Success with reducing smoking and lead exposure through regulatory policy might point the way for a stronger role for public policy on other risks in addition to continued efforts to provide information on risk factor harm to the general public. Funding Bill & Melinda Gates Foundation.
            Bookmark
            • Record: found
            • Abstract: found
            • Article: not found

            Trends in Blood Pressure Control Among US Adults With Hypertension, 1999-2000 to 2017-2018

            Has blood pressure control changed among adults with hypertension over the past 20 years in the US? In this serial cross-sectional study that included 18 262 US adults aged 18 years or older with hypertension, with data weighted to be representative of the US population, the age-adjusted estimated proportion with controlled blood pressure increased from 31.8% in 1999-2000 to 48.5% in 2007-2008, remained stable through 2013-2014 (53.8%), and then declined to 43.7% in 2017-2018. The prevalence of controlled blood pressure in the US may have decreased from 2013-2014 to 2017-2018. Controlling blood pressure (BP) reduces the risk for cardiovascular disease. To determine whether BP control among US adults with hypertension changed from 1999-2000 through 2017-2018. Serial cross-sectional analysis of National Health and Nutrition Examination Survey data, weighted to be representative of US adults, between 1999-2000 and 2017-2018 (10 cycles), including 18 262 US adults aged 18 years or older with hypertension defined as systolic BP level of 140 mm Hg or higher, diastolic BP level of 90 mm Hg or higher, or use of antihypertensive medication. The date of final data collection was 2018. Calendar year. Mean BP was computed using 3 measurements. The primary outcome of BP control was defined as systolic BP level lower than 140 mm Hg and diastolic BP level lower than 90 mm Hg. Among the 51 761 participants included in this analysis, the mean (SD) age was 48 (19) years and 25 939 (50.1%) were women; 43.2% were non-Hispanic White adults; 21.6%, non-Hispanic Black adults; 5.3%, non-Hispanic Asian adults; and 26.1%, Hispanic adults. Among the 18 262 adults with hypertension, the age-adjusted estimated proportion with controlled BP increased from 31.8% (95% CI, 26.9%-36.7%) in 1999-2000 to 48.5% (95% CI, 45.5%-51.5%) in 2007-2008 ( P  < .001 for trend), remained stable and was 53.8% (95% CI, 48.7%-59.0%) in 2013-2014 ( P  = .14 for trend), and then declined to 43.7% (95% CI, 40.2%-47.2%) in 2017-2018 ( P  = .003 for trend). Compared with adults who were aged 18 years to 44 years, it was estimated that controlled BP was more likely among those aged 45 years to 64 years (49.7% vs 36.7%; multivariable-adjusted prevalence ratio, 1.18 [95% CI, 1.02-1.37]) and less likely among those aged 75 years or older (37.3% vs 36.7%; multivariable-adjusted prevalence ratio, 0.81 [95% CI, 0.65-0.97]). It was estimated that controlled BP was less likely among non-Hispanic Black adults vs non-Hispanic White adults (41.5% vs 48.2%, respectively; multivariable-adjusted prevalence ratio, 0.88; 95% CI, 0.81-0.96). Controlled BP was more likely among those with private insurance (48.2%), Medicare (53.4%), or government health insurance other than Medicare or Medicaid (43.2%) vs among those without health insurance (24.2%) (multivariable-adjusted prevalence ratio, 1.40 [95% CI, 1.08-1.80], 1.47 [95% CI, 1.15-1.89], and 1.36 [95% CI, 1.04-1.76], respectively). Controlled BP was more likely among those with vs those without a usual health care facility (48.4% vs 26.5%, respectively; multivariable-adjusted prevalence ratio, 1.48 [95% CI, 1.13-1.94]) and among those who had vs those who had not had a health care visit in the past year (49.1% vs 8.0%; multivariable-adjusted prevalence ratio, 5.23 [95% CI, 2.88-9.49]). In a series of cross-sectional surveys weighted to be representative of the adult US population, the prevalence of controlled BP increased between 1999-2000 and 2007-2008, did not significantly change from 2007-2008 through 2013-2014, and then decreased after 2013-2014. This study uses US National Health and Nutrition Examination Survey data to characterize changes in blood pressure control among adults with hypertension between 1999-2000 and 2017-2018 overall and by age, race, insurance type, and health care access.
              Bookmark
              • Record: found
              • Abstract: not found
              • Article: not found

              Critical Perspectives on Digital Health Technologies

                Bookmark

                Author and article information

                Journal
                Contemporary Clinical Trials
                Contemporary Clinical Trials
                Elsevier BV
                15517144
                August 2024
                August 2024
                : 143
                : 107610
                Article
                10.1016/j.cct.2024.107610
                edb88ab3-0709-40a9-874d-0905b34e97f1
                © 2024

                https://www.elsevier.com/tdm/userlicense/1.0/

                https://www.elsevier.com/legal/tdmrep-license

                http://creativecommons.org/licenses/by/4.0/

                History

                Comments

                Comment on this article