ObjectivesThis study explored the relationship between self-management and blood pressure (BP) control in China.DesignA cross-sectional study.SettingEight community health centres from four cities in the Northeast (Shenyang), Northwest (Xi’an), Southwest (Chengdu) and South (Changsha) of China.ParticipantsA total of 873 adults with hypertension, including 360 men and 513 women. Hypertension was defined as systolic BP ≥140 mm Hg and/or diastolic BP ≥90 mm Hg.Outcome measurementsBP control was the primary outcome variable. This was categorised as good control if individuals with hypertension reduced their BP to <140/90 mm Hg, otherwise, it was categorised as poor control. Secondary outcomes included self-management, defined as: (1) context or condition-specific factors or physical/social environments (eg, age, sex, marital status, education, personal income and health insurance) and (2) process or knowledge/beliefs, self-regulation skills/abilities and social facilitation (eg, treatment, diet, exercise and risk factor management). Data were analysed using logistic regression models using SPSS V.20.ResultsA total of 67.1% (n=586) participants had poor BP control. Limited outpatient care benefits in mainly rural residents (OR 2.26, 95% CI 1.06 to 4.81) and longer disease duration (OR 1.03, 95% CI 1.01 to 1.04) were associated with poor BP control. Self-management practices reduced the odds of having poor BP control (OR 0.98, 95% CI 0.97 to 0.99).ConclusionsThe individual and family self-management theory can serve as an effective theory for understanding the key contexts, processes and outcomes essential for BP control in China. Future research should evaluate the effect of a self-management intervention (eg, self-monitoring, medication adherence, regular and routine doctor visits, and social supports) for BP control in China using a multisite cluster randomised controlled trial. Sex and gender difference, cost and patient-reported outcomes should also be examined.
Diabetes mellitus along with insulin resistance, hypertension, and hyperlipidemia are closely associated with the development of coronary artery disease (CAD), which is reported to be one of the major causes of morbidity and mortality in certain developed countries (1,2). In addition to these traditional cardiovascular risk factors, a genetic predisposition is considered to have an important role in the development of CAD (3). Multiple genes are likely to be involved in the pathogenesis of CAD, including those with role in lipoprotein metabolism (4). Despite the fact that low-and high-density lipoprotein (LDL and HDL, respectively) cholesterol levels may be normal in patients with T2DM, lipoprotein glycation could be the reason for this abnormality (5). Therefore, genetic markers involved in lipoprotein metabolism and modification may be remarkably important in the development process of CAD in patients with T2DM. Human PON1/arylesterase is an HDL-associated Ca 2+ dependent glycoprotein (lactonase), which Summary Numerous published studies have investigated the relationship between the paraoxonase 1 (PON1) gene Q192R (rs662) polymorphism and the risk of coronary artery disease (CAD) in type 2 diabetes mellitus (T2DM) patients. However, the results are still conflicting and inconclusive. Potentially eligible articles were searched for in related databases. Odds ratios (OR) with 95% confidence intervals (CI) were used to estimate the associations. Subgroup analysis was performed based on ethnicity. Ten case-control studies were included. A significant increase in the susceptibility for CAD in T2DM patients was found in the allelic model (OR = 1.49, p < 0.001), homozygote model (OR = 2.47, p < 0.001), heterozygote model (OR = 1.47, p < 0.001), dominant model (OR = 1.64, p < 0.001), and recessive model (OR = 1.74, p = 0.001). In subgroup analysis by ethnicity, a significant increase susceptibility was found in Asian populations in the allelic model (OR = 1.39, p = 0.001), homozygote model (OR = 2.15, p = 0.002), heterozygote model (OR = 1.37, p = 0.006), recessive model (OR = 1.65, p = 0.012), and dominant model (OR = 1.54, p < 0.001). A similar significant increase in susceptibility was found in Caucasian populations in the allelic model (OR = 1.75, p = 0.002), homozygote model (OR = 3.39, p = 0.002), recessive model (OR = 1.98, p = 0.030), heterozygote model (OR = 1.64, p = 0.001), and dominant model (OR = 1.83, p < 0.001). The results suggest that the PON1 Q192R polymorphism is associated with a significantly increased risk of CAD in T2DM patients in both Asian and Caucasian populations.
Many studies have explored how using a pneumatic tube system (PTS) is related to the hemolysis of blood samples, but their conclusions have been inconsistent. This meta-analysis was to clarify whether using a PTS induces the hemolysis of blood samples. The PubMed, Embase, Scopus, CNKI, CqVip, SinoMed and WanFang databases were searched for studies published between January 1970 and August 2019. The primary outcomes were the hemolysis rate and hemolysis index of blood samples after applying a PTS and manual transportation. We estimated the pooled risk ratio (RR) and the standardized mean difference (SMD), using random-effects models. This meta-analysis included 29 studies covering 3121 blood samples. No significant differences were found between the PTS and manual-transportation groups in the hemolysis rate [RR: 0.99, 95% confidence interval (CI): 0.57 to 1.70], hemolysis index (SMD: 0.19, 95% CI: À0.00 to 0.38), or level of potassium (SMD: 0.05, 95% CI: À0.03 to 0.12), alanine aminotransferase (SMD: 0.00, 95% CI: À0.10 to 0.11), or aspartate aminotransferase (SMD: 0.04, 95% CI: À0.08 to 0.17). However, lactate dehydrogenase (LDH) level was significantly higher in the PTS group than in the manual-transportation group (SMD: 0.20, 95% CI: 0.06 to 0.34). Subgroup analysis revealed that the LDH level was clearly higher in the PTS group than in the manual-transportation group only when the PTS speed was !6 m/s or when the PTS distance was !250 m. According to this meta-analysis, PTSs were associated with alterations in LDH measurements, so it is sensible that each hospital validates and monitors their PTSs.
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