45
views
0
recommends
+1 Recommend
0 collections
    0
    shares
      • Record: found
      • Abstract: found
      • Article: found
      Is Open Access

      Age- and gender-specific population attributable risks of metabolic disorders on all-cause and cardiovascular mortality in Taiwan

      research-article

      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.

          Abstract

          Background

          The extent of attributable risks of metabolic syndrome (MetS) and its components on mortality remains unclear, especially with respect to age and gender. We aimed to assess the age- and gender-specific population attributable risks (PARs) for cardiovascular disease (CVD)-related mortality and all-cause mortality for public health planning.

          Methods

          A total of 2,092 men and 2,197 women 30 years of age and older, who were included in the 2002 Taiwan Survey of Hypertension, Hyperglycemia, and Hyperlipidemia (TwSHHH), were linked to national death certificates acquired through December 31, 2009. Cox proportional hazard models were used to calculate adjusted hazard ratios and PARs for mortality, with a median follow-up of 7.7 years.

          Results

          The respective PAR percentages of MetS for all-cause and CVD-related mortality were 11.6 and 39.2 in men, respectively, and 18.6 and 44.4 in women, respectively. Central obesity had the highest PAR for CVD mortality in women (57.5%), whereas arterial hypertension had the highest PAR in men (57.5%). For all-cause mortality, younger men and post-menopausal women had higher PARs related to Mets and its components; for CVD mortality, post-menopausal women had higher overall PARs than their pre-menopausal counterparts.

          Conclusions

          MetS has a limited application to the PAR for all-cause mortality, especially in men; its PAR for CVD mortality is more evident. For CVD mortality, MetS components have higher PARs than MetS itself, especially hypertension in men and waist circumference in post-menopausal women. In addition, PARs for diabetes mellitus and low HDL-cholesterol may exceed 20%. We suggest differential control of risk factors in different subpopulation as a strategy to prevent CVD-related mortality.

          Related collections

          Most cited references34

          • Record: found
          • Abstract: not found
          • Article: not found

          Use and misuse of population attributable fractions.

            Bookmark
            • Record: found
            • Abstract: found
            • Article: not found

            The metabolic syndrome and mortality from cardiovascular disease and all-causes: findings from the National Health and Nutrition Examination Survey II Mortality Study.

            The prospective associations between the metabolic syndrome as defined by the National Cholesterol Education Program (NCEP/ATP III) expert panel and mortality from cardiovascular disease and all-causes has not been extensively examined. Using data from the National Health and Nutrition Examination Survey II Mortality Study (1976-1992), the author examined the association between the metabolic syndrome and mortality from all-causes and cardiovascular disease among 2431 US adults aged 30-75 years. The NCEP/ATP III criteria were modified to substitute body mass index >/=25 kg/m(2) for waist circumference for women and >/=30 kg/m(2) for men. After multiple-adjustment, the hazard ratios for participants with the metabolic syndrome were 1.37 (95% confidence interval (CI): 1.02, 1.85) for mortality from cardiovascular disease, 1.29 (95% CI: 0.92, 1.82) for mortality from coronary heart disease, 1.68 (95% CI: 0.86, 3.27) for mortality from stroke, 1.23 (95% CI: 0.95, 1.59) for mortality from diseases of the circulatory system, and 1.15 (95% CI: 0.92, 1.45) for all-cause mortality compared with participants without the syndrome. The association between the number of metabolic syndrome criteria and mortality from cardiovascular disease was near linear (P = 0.007). Three criteria of the syndrome-excess weight, hypertriglyceridemia, and low high-density lipoprotein cholesterol concentration-were not independently associated with any of the outcomes. Additional prospective studies are needed to examine the association between the metabolic syndrome and the incidence of cardiovascular disease and mortality from cardiovascular disease and all-causes.
              Bookmark
              • Record: found
              • Abstract: found
              • Article: not found

              Metabolic syndrome and all-cause mortality: a meta-analysis of prospective cohort studies.

              To synthesize the available data on the association between metabolic syndrome and all-cause mortality, we conducted a meta-analysis of prospective cohort studies. We performed a literature search using Medline, EMBASE and Cochrane Library from 2001 to December 2009, with no restrictions. We included studies if they were prospective, had an assessment of metabolic syndrome at baseline and risk of all-cause mortality. We recorded several characteristics for each study. We extracted relative risks (RR) and 95% confidence intervals (CI) and pooled them using fixed or random effects models. We performed sensitivity analysis, and assessed heterogeneity and publication bias. A total of 21 studies including 372,411 participants were included in our meta-analysis. 18,556 deaths from any cause occurred during a mean follow-up of 11.5 years. Individuals with the metabolic syndrome, compared to those without, had an increased mortality from all causes (pooled RR 1.46; 95% CI 1.35-1.57). The RR of all-cause mortality associated with metabolic syndrome was higher in studies using the National Cholesterol Education Program Adult Treatment Panel (NCEP) than the revised NCEP criteria (RR: 1.45 vs. 1.25; P = 0.0002). Metabolic syndrome is an important risk factor for all-cause mortality. The diagnosis and treatment of the underlying risk factors for the metabolic syndrome should be an important strategy for the reduction of all-cause mortality associated with metabolic syndrome in the general population.
                Bookmark

                Author and article information

                Journal
                BMC Public Health
                BMC Public Health
                BioMed Central
                1471-2458
                2012
                10 February 2012
                : 12
                : 111
                Affiliations
                [1 ]Division of Biostatistics and Bioinformatics, Institute of Population Health Sciences, National Health Research Institutes, No. 35, Keyan Road, Zhunan, Miaoli County 35053, Taiwan
                [2 ]Division of Health Service Research and Preventive Medicine, Institute of Population Health Sciences, National Health Research Institutes, No. 35, Keyan Road, Zhunan, Miaoli County 35053, Taiwan
                Article
                1471-2458-12-111
                10.1186/1471-2458-12-111
                3305485
                22321049
                0329201e-b64b-438e-9f9d-6bcc64038c42
                Copyright ©2012 Wang et al; licensee BioMed Central Ltd.

                This is an Open Access article distributed under the terms of the Creative Commons Attribution License ( http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

                History
                : 17 June 2011
                : 10 February 2012
                Categories
                Research Article

                Public health
                Public health

                Comments

                Comment on this article

                scite_
                0
                0
                0
                0
                Smart Citations
                0
                0
                0
                0
                Citing PublicationsSupportingMentioningContrasting
                View Citations

                See how this article has been cited at scite.ai

                scite shows how a scientific paper has been cited by providing the context of the citation, a classification describing whether it supports, mentions, or contrasts the cited claim, and a label indicating in which section the citation was made.

                Similar content50

                Cited by24

                Most referenced authors389