Background and aims: Research reports on the relationship between systemic immune-inflammation index (SII) and hypertension are limited. We aim to evaluate the possible relationship between SII and hypertension. Methods and results: We conducted a cross-sectional analysis of adults from the National Nutrition and Health Database from 2017 to 2020. In this study, 13 742 participants were included. The exposure variable in this study was the systemic inflammatory state as defined by SII and an outcome was hypertension. There is a nonlinear association between SII and hypertension. Two piecewise logistic regression models were used to analyze the relationship between them and calculated the cut-off point of SII to be 501.2. We found that SII on the left side of the cut-off point has nothing to do with the prevalence of hypertension. However, in patients with SII at least 501.2, the prevalence of hypertension increased with the increase of SII (odds ratio, 3.13; 95% confidence interval, 2.04–4.81). The nonlinear association between LgSII and hypertension still existed stably in the subgroups of sex, age, BMI, diabetes, and cardiovascular disease (P for interaction > 0.05). Conclusion: A cross-sectional analysis reported the threshold effect of SII on and hypertension and calculated the turning point of SII to be 501.2.

Background: Few studies have examined the relationship between fatty liver index (FLI) and hyperuricemia (HUA). This study explores the relationship between FLI and HUA in hypertensive patients.Methods: A total of 13,716 hypertensive subjects were included in the current study. FLI, a simple index calculated from triglycerides (TG), waist circumference (WC), body mass index (BMI), and γ -glutamyltransferase (GGT), was used as a useful predictor of nonalcoholic fatty liver disease (NAFLD) distribution. HUA was defined as serum uric acid ≥ 360 μmol/L for females and ≥ 420 μmol/L for males.Results: The mean value of total FLI was 31.8 ± 25.1. Multiple logistic analyses revealed a significant positive correlation between FLI and HUA (OR, 1.78; 95% CI: 1.69–1.87). A subgroup analysis demonstrated that the correlation between FLI (< 30 vs. ≥ 30) and HUA was significant in both sexes (P for interaction = 0.006). Further analyses stratified by sex indicated a positive correlation between FLI and HUA prevalence among male and female subjects. However, the correlation between FLI and HUA was stronger in female subjects than in males (male: OR, 1.70; 95% CI: 1.58–1.83; female: 1.85; 95% CI: 1.73–1.98).Conclusion: This study demonstrates a positive correlation between FLI and HUA in hypertensive adults, but stronger in females than males.

Background and Aim Research on the correlation between Dietary Inflammation Index (DII) and stroke is limited. Patients with high body mass index (BMI), as a high-risk group for stroke, require attention. Therefore, we aimed to examine the interactive effects of dietary inflammation and BMI on the risk of stroke among adults in the United States. Methods and Results Overall, 9,384 participants were included in this study. The exposure variable was the DII, which was calculated based on the overall inflammatory effect score, and the outcome was stroke. Overall, there was a positive relationship between DII (as a continuous variable) and stroke. Increased level of DII was significantly associated with increased risk of stroke (odds ratio [OR]: 1.21, 95% CI: 1.06–1.38), which was enhanced by higher BMI (OR: 1.35, 95% CI: 1.15–1.58) with significant additive interactions. There was a significant secondary interaction of copresence of BMI ≥25 kg/m2, systolic blood pressure (SBP) ≥140 mmHg, and high DII for increased stroke, with a further increase in OR to 1.41 (1.19–1.67). Conclusions This cross-sectional study shows that the relationship between higher DII levels and the significant increase in stroke prevalence was further amplified in patients with SBP ≥140 mmHg and higher BMI.

Background. Association between age at menarche (AAM) and hypertension remains a controversial topic, and data in China were sparse. Therefore, we aimed to investigate the association between AAM and hypertension in Chinese female population. Methods. In this cross-sectional study, 5,102 females aged ≥15 years were enrolled. Self-reported AAM was assessed by the questionnaire. Multiple linear regression analysis was used to evaluate the association between systolic blood pressure (SBP), diastolic blood pressure (DBP), and AAM. Logistic regression analysis was performed to evaluate the association between hypertension and AAM. Generalized additive model (GAM) and smooth curve fitting (penalized spline method) were conducted to explore the exact shape of curve between them. Results. The overall mean of AAM was 15.5 years. Each additional year of AAM was associated with a 15% higher risk of hypertension (odds ratio (OR) = 1.15, 95% confidence interval (CI): 1.11–1.19). Among females with hypertension, there was a significant positive association between AAM and SBP (β = 0.88, 95% CI: 0.29–1.46) and DBP (β = 0.80, 95% CI: 0.47–1.13). A significantly higher risk of hypertension was found in younger subjects (15–44 y: OR = 1.37, 95% CI: 1.21–1.55; P for interaction = 0.009) compared with those aged between 62 and 97 y.Conclusions. AAM was positively associated with hypertension and blood pressure, especially among females in early adulthood from southern China.

Objective: This study aimed to assess the associations of sleep duration, midday napping and the risk of atrial fibrillation (AF) in patients with hypertension. Methods: We conducted a cross-sectional study enrolling 11,524 hypertensive participates from the Chinese Hypertension Registry Study. Information on sleep duration and midday napping were obtained by a self-administered questionnaire. Multivariate logistic regression analyses were performed to estimate odds ratio (OR) and 95% confidence intervals (CIs) for the risk of AF. Results: Compared with sleeping 6 to ≤ 8 hours/night, those reporting shorter sleep duration (≤ 5 hours/night) had a greater risk of AF (OR 1.95; 95% CI 1.28– 2.95) in the fully adjusted model, while longer sleep (≥ 9 hours/night) was not significantly associated with the risk of AF. Compared with nonhabitual nappers, nappers had a higher risk of AF (OR 1.28; 95% CI 1.03– 1.60) in the fully adjusted model. Moreover, we observed significant joint effects of sleeping ≤ 5 hours/night and nap (OR 2.13; 95% CI 1.09– 4.14) on the risk of AF after adjusting for confounding factors. Conclusion: Short sleep duration and midday napping were independently and jointly associated with higher risks of AF in patients with hypertension.