Background: Lifestyle interventions have been recognized as a line of treatment for noncommunicable diseases. This study aimed to evaluate a bespoke mHealth approach to deliver personalized feedback to improve blood pressure and weight for hypertensive patients in community settings.Methods: A total of 307 participants, 50 from each community, were expected to be in the intervention or control group. A professional health facilitator was assigned for each of the 6 communities. The primary outcomes of the study are the reduction in blood pressure and weight at baseline and postintervention.Results: Of 307 recruited, 192 participants (62.5%) completed the study (intervention: 104 and control: 88). There was no difference in attrition rates between the 2 groups (33.5% vs 41.9%, P = .291). After 6 month of intensive feedback intervention through the mHealth approach, patients had better blood pressure (133.4 ± 15.3 vs 139.7 ± 16.0) compared with control.Conclusions: People who were adherent to the intervention demonstrated a clinical benefit in weight and blood pressure.

Background. The triglyceride glucose (TyG) index is a novel surrogate marker of insulin resistance and increases cardiovascular disease risk. We sought to explore sex differences in the relationship between TyG and cardiovascular (CV) risk factors in metabolically obese normal weight (MONW) phenotype. Method. We analyzed data of 1208 healthy men and nonpregnant women enrolled in a population-based longitudinal study from January 2017–June 2020. MONW phenotype was defined by normal body mass index (BMI: 18–<25 kg/m2) with at least one of the following metabolic disorders (MONW phenotype): elevated blood pressure (BP), hypertriglyceridemia, hyperglycemia, and low HDL cholesterol. Multiple logistic regression analysis was performed to assess the association between elevated TyG index and the CV risk factors in women and men and was presented in odds ratio (OR) with 95% confidence interval (CI). Results. Of 1208 subjects, 350 (29%) were MONW phenotype (mean age (years): male: 43.5 ± 12.4 and female: 43.1 ± 12.7) and 858 were metabolically healthy normal weight (MHNW; n = 858 (71%)). MONW women had higher mean values of the TyG index (8.03 ± 5.07) than men (7.47 ± 4.68). Multivariate analysis revealed that the elevated TyG index is significantly associated with MONW phenotype in women (adjusted OR: 8.73, 95% CI: 5.62–13.57) and men (aOR: 5.90, 95% CI: 4.23–8.23). TyG was found to be an excellent predictor of MONW status in both women (receiver operating characteristic (ROC) area under the curve (AUC): 0.979, 95% CI: 0.969–0.988) and men (ROC-AUC: 0.968, 95% CI: 0.952–0.983). Conclusion. Our study revealed that the TyG index may represent a cost-effective and informative screening tool for the high-risk MONW phenotype.

Background: Studies put it there was an interaction between diabetes and abnormal blood pressure rhythm, and they both increased the morbidity and mortality of coronary artery disease (CAD). We aimed at analyzing the effects of abnormal rhythm (AR) of blood pressure (BP) and each kind of systolic or diastolic blood pressure (SBP, DBP) pattern on CAD in patients with type 2 diabetes in Southwest China.Methods: A retrospective cross-sectional study involved 853 type 2 diabetic patients with 24-hour ambulatory blood pressure monitoring divided into CAD and non-CAD groups through imaging examination of the coronary artery. SBP and DBP were divided into dipper (D), non-dipper (ND), reverse dipper (RD), and extreme dipper (ED) by nocturnal BP decline rate, respectively. The difference in mean 24-hour, daytime, bedtime SBP and DBP, and BP rhythm between groups was compared by variance analysis. The association between different BP rhythms and CAD was analyzed by multivariate logistic regression when adjust for clinical, laboratory, and BP parameters.Results: Most diabetic patients had non-dipper BP patterns in both CAD and non-CAD groups, while the CAD group had a higher percentage of RD in both SBP and DBP than non-CAD. More CAD occurred in RD-SBP than D-SBP (P<0.001), RD-SBP than ND-SBP (P<0.001), RD-DBP than D-DBP (P<0.001), and ND-DBP than D-DBP (p=0.006). AR-SBP (OR=1.622, P=0.015), AR-DBP (OR=1.774, P=0.001), RD-SBP (OR=2.320, P<0.001), RD-DBP (OR=2.140, P<0.001), ND-DBP (OR=1.648, P=0.006) were risk factors for CAD and those relationships were still significant after adjust for different parameters.Conclusion: Abnormal BP rhythm, especially reverse dipper pattern was a risk factor for CAD regardless of SBP or DBP in diabetic patients. While for non-dipper, only the non-dipper DBP pattern had a risky influence.

Background: Studies put it there was an interaction between diabetes and abnormal blood pressure rhythm, and they both increased the morbidity and mortality of coronary artery disease (CAD). We aimed at analyzing the effects of abnormal rhythm (AR) of blood pressure (BP) and each kind of systolic or diastolic blood pressure (SBP, DBP) pattern on CAD in patients with type 2 diabetes in Southwest China. Methods: A retrospective cross-sectional study involved 853 type 2 diabetic patients with 24-hour ambulatory blood pressure monitoring divided into CAD and non-CAD groups through imaging examination of the coronary artery. SBP and DBP were divided into dipper (D), non-dipper (ND), reverse dipper (RD), and extreme dipper (ED) by nocturnal BP decline rate, respectively. The difference in mean 24-hour, daytime, bedtime SBP and DBP, and BP rhythm between groups was compared by variance analysis. The association between different BP rhythms and CAD was analyzed by multivariate logistic regression when adjust for clinical, laboratory, and BP parameters.Results: Most diabetic patients had non-dipper BP patterns in both CAD and non-CAD groups, while the CAD group had a higher percentage of RD in both SBP and DBP than non-CAD. More CAD occurred in RD-SBP than D-SBP (P<0.001), RD-SBP than ND-SBP (P<0.001), RD-DBP than D-DBP (P<0.001), and ND-DBP than D-DBP (p=0.006). AR-SBP (OR=1.622, P=0.015), AR-DBP (OR=1.774, P=0.001), RD-SBP (OR=2.320, P<0.001), RD-DBP (OR=2.140, P<0.001), ND-DBP (OR=1.648, P=0.006) were risk factors for CAD and those relationships were still significant after adjust for different parameters.Conclusion: Abnormal BP rhythm, especially reverse dipper pattern was a risk factor for CAD regardless of SBP or DBP in diabetic patients. While for non-dipper, only the non-dipper DBP pattern had a risky influence.