Association between height and hypertension among US adults: analyses of National Health and Nutrition Examination Survey 2007-18

Systolic blood pressure as a critical mediator in the association between adult height and 25-year risk of stroke

BACKGROUND

Adult height is associated with the risk of stroke. However, the underlying mechanism remains unclear. We explored the mediating role of metabolic factors in the association between adult height and stroke incidence.

METHODS

We used data from 3306 community-dwelling participants with complete information on adult height, metabolic factors, and 25-year cardiovascular outcomes. Participants were classified into three adult height groups based on sex-specific height quartiles: short (Q1), average (Q2-Q3), and tall (Q4). The primary endpoint was the occurrence of cardiovascular disease, including coronary artery disease and stroke.

RESULTS

Taller adult height was associated with a lower risk of stroke. Compared with the short group the risk of stroke reduced with taller height with a hazard ratio (HR) of 0.68 in the average group (95% confidence interval [CI]: 0.50-0.93), and 0.45 in the tall group (95% CI: 0.31-0.65). Low systolic blood pressure was considered as a protective mediator in the effect of adult height on the risk of stroke in the average (HR: 0.86; 95% CI: 0.82-0.93) and the tall group (HR: 0.85; 95% CI: 0.78-0.91). Systolic blood pressure significantly contributed to height-related stroke risk (proportion mediated: 0.41; 95% CI: 0.19-1.56).

CONCLUSIONS

This study found an inverse association between adult height and stroke risk, which is partly driven by lower systolic blood pressure. These findings highlight the importance of systolic blood pressure management as a potential preventive strategy against stroke.

Instrumental variable model average with applications in Mendelian randomization

Mendelian randomization is a technique used to examine the causal effect of a modifiable exposure on a trait using an observational study by utilizing genetic variants. The use of many instruments can help to improve the estimation precision but may suffer bias when the instruments are weakly associated with the exposure. To overcome the difficulty of high-dimensionality, we propose a model average estimator which involves using different subsets of instruments (single nucleotide polymorphisms, SNPs) to predict the exposure in the first stage, followed by weighting the submodels' predictions using penalization by common penalty functions such as least absolute shrinkage and selection operator (LASSO), smoothly clipped absolute deviation (SCAD) and minimax concave penalty (MCP). The model averaged predictions are then used as a genetically predicted exposure to obtain the estimation of the causal effect on the response in the second stage. The novelty of our model average estimator also lies in that it allows the number of submodels and the submodels' sizes to grow with the sample size. The practical performance of the estimator is examined in a series of numerical studies. We apply the proposed method on a real genetic dataset investigating the relationship between stature and blood pressure.

Emergent Anthropometric Indices in Differential Prediction of Prehypertension and Hypertension in Mexican Population: Results according to Age and Sex

Background

Hypertension (HTN) is recognized as a significant public health problem in the world. The objective of this study is to evaluate emergent anthropometric indices as predictors of preHTN and HTN according to age and sex in a sample of Mexican adults.

Methods

A cross-sectional study was conducted in 1,150 participants aged 18-80 years old. Anthropometric data and blood pressure measurements were analyzed. Comparisons between men and women were carried out by independent analysis. Cutoff points for each emergent anthropometric index were obtained using the values' upper second and third tertiles. Logistic regression models and receiver operating characteristics curve analyses were used to assess the association and the predictive value of several emergent anthropometric indices with the presence of preHTN and HTN.

Results

The prevalence of preHTN and HTN was 29.74% and 14.35%, respectively. In a logistic regression analysis adjusted by age and sex, the body roundness index (BRI) (OR = 2.08, p < 0.001) and conicity index (CI) (OR = 1.37, p=0.044) were associated with preHTN, while CI (OR = 2.47, p < 0.001) and waist to height squared (W/Ht2) (OR = 2.19, p < 0.001) were associated with HTN. Furthermore, in both sexes, BRI was the main predictor of preHTN (AUC: 0.634 and 0.656, respectively). Particularly, according to sex and age range, the predictive emergent anthropometric indices in men were the body shape index (ABSI) and waist to height cubic (W/Ht3) (AUC = 0.777 and 0.771, respectively), whereas in women, the predictors were CI and ABSI (AUC = 0.737 and 0.729, respectively). In men ≤40 years old, central body fat indices were predictors of preHTN and HTN, but in men >40 years old, the predictor indices were W/Ht3 and W/Ht2. In women ≤40 years, the pulse mass index (PMI) was the best main predictor (AUC = 0.909) of HTN.

Conclusion

CI, PMI, W/Ht3, W/Ht2, and ABSI could represent differential predictors of preHTN and HTN between men and women according to age range.

Prevalence, time-trends and clinical characteristics of hypertension in young adults: nationwide cross-sectional study of 1.7 million Swedish 18-year-olds, 1969-2010

OBJECTIVE

The prevalence of hypertension in young adulthood, as well as the clinical characteristics associated with different hypertension subtypes, have been inconsistently described. Our aim was to assess the prevalence, time-trends and characteristics associated with isolated systolic hypertension (ISH), isolated diastolic hypertension and combined systodiastolic hypertension.

METHODS

Serial cross-sectional analysis, using data from the Swedish conscription registry, including 1701 314 (99.2% male) individuals from 1969 to 2010. Risk factor associations were assessed through multivariable logistic regression.

RESULTS

The prevalence of hypertension increased progressively during the study period, from 20.4% in 1969 to 29.3% in 2010, with ISH being the most common subtype (94.3%). ISH was associated with elevated resting heart rate (odds ratio 1.85, 95% confidence interval 1.84-1.86, per SD), increased exercise capacity (1.37, 1.36-1.39) and increased BMI (1.30, 1.29-1.31). Isolated diastolic hypertension and combined hypertension were also associated with elevated resting heart rate (1.37, 1.32-1.41 and 2.05, 1.99-2.11, respectively) and more strongly associated with increased BMI (1.36, 1.33-1.40 and 1.54, 1.51 - 1.58), but inversely associated with exercise capacity (0.79, 0.75-0.83 and 0.90, 0.86-0.95).

CONCLUSION

The prevalence of hypertension in young adulthood has increased substantially over time, predominantly due to an increase in ISH. Risk factor patterns differed between ISH and other forms of hypertension, suggesting potentially different underlying mechanisms.

The Association between Nutritional Status and Length of Hospital Stay among Patients with Hypertension

Background: Nutritional status is related to the prognosis and length of hospital stay (LOS) of patients with hypertension (HT). This study aimed to assess how nutritional status and body mass index (BMI) affect LOS for patients with hypertension. Method: We performed a retrospective analysis of 586 medical records of patients who had been admitted to the Institute of Heart Diseases of the University Clinical Hospital in Wroclaw, Poland. Results: A total of 586 individuals were included in the analysis. Individuals who were at a nutritional risk represented less than 2% of the study population, but more than 60% were overweight or obese. The mean BMI was 28.4 kg/m² (SD: 5.16). LOS averaged 3.53 days (SD = 2.78). In the case of obese individuals, hospitalisation lasted for 3.4 ± 2.43 days, which was significantly longer than for patients of normal weight. For underweight patients, hospitalisation lasted for 5.14 ± 2.27 days, which was also significantly longer than for those in other BMI categories (p = 0.017). The independent predictors of shorter hospitalisations involved higher LDL concentration (parameter of regression: −0.015) and HDL concentration (parameter of regression: −0.04). Conclusions: The study revealed that with regard to the nutritional status of hypertensive patients, being either underweight or obese was associated with longer LOS. Additional factors that related to prolonged LOS were lower LDL and HDL levels and higher CRP concentrations.