Background Emerging studies have shown the effectiveness of mobile health (mHealth) interventions in reducing depressive symptoms among people living with HIV. Most of these studies included only short-term follow-up, with limited data on long-term effects. Objective The purpose of this study is to assess the long-term effects of a randomized controlled trial called Run4Love on depressive symptoms among people living with HIV at 1-year and 3-year follow-ups. Methods A total of 300 people living with HIV with depressive symptoms were recruited and randomized to an intervention or a control group in Guangzhou, China, from September 2017 to January 2018. The intervention group received a 3-month Run4Love program, including adapted evidence-based cognitive behavioral stress management courses and exercise promotion via WeChat (Tencent), a popular social media app. The control group received usual care and a brochure on nutrition. The primary outcome was reduction in depressive symptoms, measured using the Center for Epidemiological Studies–Depression (CES-D) scale. Data used in this study were collected at baseline and at the 1-year and 3-year follow-ups. Generalized estimating equations were used to examine the group differences at 1-year and 3-year follow-ups. Results Approximately half of the participants completed the assessment at 1-year (149/300, 49.7%) and 3-year (177/300, 59%) follow-ups. At 1-year follow-up, participants in the intervention group reported significant reduction in depressive symptoms compared with the control group (CES-D: from 23.9 to 18.1 in the intervention group vs from 24.3 to 23.3 in the control group; mean −4.79, SD 13.56; 95% CI −7.78 to −1.81; P=.002). At 3-year follow-up, between-group difference in CES-D remained statistically significant (from 23.9 to 20.5 in the intervention group vs from 24.3 to 24.4 in the control group; mean −3.63, SD 13.35; 95% CI −6.71 to −0.54; P=.02). No adverse events were reported during the 3-year follow-up period. Conclusions The mHealth intervention, Run4Love, significantly reduced depressive symptoms among people living with HIV, and the intervention effects were sustained at 1-year and 3-year follow-ups. Further research is needed to explore the mechanisms of the long-term effects of mHealth interventions such as Run4Love and to implement these effective interventions among people living with HIV. Trial Registration Chinese Clinical Trial Registry ChiCTR-IPR-17012606; https://trialsearch.who.int/Trial2.aspx?TrialID=ChiCTR-IPR-17012606 International Registered Report Identifier (IRRID) RR2-10.2196/10274

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BackgroundThe association between dietary energy patterns, calories, and the outcomes of heart failure (HF) is still unclear.ObjectivesTo evaluate the proper energy intake patterns and daily calorie intake in patients with heart failure among US adults.MethodsThe data were derived from the 2001–2014 National Health and Nutrition Examination Survey (NHANES). A calorie intake pattern variable was created using latent class analysis (LCA) based on the calorie ratio of three major nutrients. Cox proportional hazard regression models were used to evaluate the hazard ratios (HR) and 95% confidence intervals (CI) of the association between calorie intake and energy patterns. The primary endpoint was all-cause mortality.ResultsAmong 991 participants (mean age 67.3 ± 12.9 years; 55.7% men) who suffered from heart failure; the median calorie intake was 1,617 kcal/day [interquartile range (IQR): 1,222–2,154 kcal/day]. In the multivariable-adjusted model, moderate malnutrition was more frequent to death (HR: 2.15; 95% CI: 1.29–3.56). Low-carbohydrate pattern (LCP) and median-carbohydrate pattern (MCP) had lower risks of death compared to high-carbohydrate pattern (HCP) (LCP: HR: 0.76; 95% CI: 0.59–0.97; MCP: HR: 0.77; 95% CI: 0.60–0.98). No association between different amounts of calorie intake and all-cause mortality was found. There was an adjusted significant interaction between calorie intake and energy intake patterns (p = 0.019). There was a linear relationship between energy intake through HCP and all-cause mortality (p for non-linear = 0.557). A non-linear relationship between energy intake through MCP and all-cause mortality (p for non-linear = 0.008) was observed.ConclusionBoth LCP and MCP, compared to HCP, were associated with better outcomes in the HF population. The relationship between energy intake and all-cause death may be influenced by energy intake patterns in HF patients.

Although the effect of intensive systolic blood pressure lowering is widely recognized, treatment-related low diastolic blood pressure still worrisome. This was a prospective cohort study based on the National Health and Nutrition Examination Survey. Adults (≥20 years old) with guideline-recommended blood pressure were included and pregnant women were excluded. Survey-weighted logistic regression and cox models were used for analysis. A total of 25 858 participants were included in this study. After weighted, the overall mean age of the participants was 43.17 (16.03) years, including 53.7% women and 68.1% non-Hispanic white. Numerous factors were associated with low DBP (<60 mmHg), including advanced age, heart failure, myocardial infarction, and diabetes. The use of antihypertensive drugs was also associated with lower DBP (OR, 1.52; 95% CI, 1.26-1.83). DBP of less than 60 mmHg were associated with a higher risk of all-cause death (HR, 1.30; 95% CI, 1.12-1.51) and cardiovascular death (HR, 1.34; 95% CI, 1.00-1.79) compared to those with DBP between 70 and 80 mmHg. After regrouping, DBP <60 mmHg (no antihypertensive drugs) was associated with a higher risk of all-cause death (HR, 1.46; 95% CI,. DBP <60 mmHg after taking antihypertensive drugs was not associated with a higher risk of all-cause death (HR, 0.99; 95% CI, 0.73-1.36). Antihypertensive drug is an important factor contributing to DBP below 60 mmHg. But the pre-existing risk does not increase further with an additional reduction of DBP after antihypertensive drugs treatment.

Introduction There is ongoing controversy regarding the prognostic value of PR prolongation among individuals free of cardiovascular diseases. It is necessary to risk-stratify this population according to other electrocardiographic parameters. Methods and Results This study based on the Third National Health and Nutrition Examination Survey. A total of 6188 participants (58.1±13.1 years; 55% women) were included. The median frontal QRS axis of the entire study population was 37° (IQR: 11–60°). PR prolongation was present in 7.6% of the participants, of whom 61.2% had QRS axis ≤37°. In a multivariable-adjusted model, mortality risk was highest in the group with concomitant prolonged PR interval and QRS axis ≤37° (HR: 1.20, 95% CI: 1.04-1.39). In models with similar adjustment where population were reclassified depending on PR prolongation and QRS axis, prolonged PR interval and QRS axis ≤37° was still associated with increased risk of mortality (HR: 1.18, 95% CI: 1.03-1.36) compared with normal PR interval. Conclusion QRS axis is an important factor for risk stratification in population with PR prolongation. The extent to which this population with PR prolongation and QRS axis ≤37° is at higher risk of death compared with the population without PR prolongation.