Predictors of poor blood pressure control among Iranian hypertensive patients

Risk factors for uncontrolled blood pressure among individuals with hypertension on treatment: the CONSTANCES population-based study

BACKGROUND

We aimed to assess factors associated with uncontrolled blood pressure (BP) among individuals with hypertension on treatment, by sex.

METHODS

We conducted a nested cross-sectional analysis using data from the population-based cohort study CONSTANCES, designed as a randomly selected sample of French adults aged 18-69 years at study inception. We included 11 760 participants previously diagnosed with hypertension and taking antihypertensive medications. Uncontrolled BP was defined as mean systolic BP ≥140 mmHg and/or mean diastolic BP ≥90 mmHg. Sex-specific age-adjusted multivariable analyses were performed using logistic regression models stratified by stages of uncontrolled hypertension.

RESULTS

The mean age of participants was 59.4 years. The prevalence of uncontrolled BP was 51.4%, and it was higher in men than in women [adjusted odds ratio (aOR), 1.80; 95% CI, 1.67-1.94]. In both sexes, the lower the age, the lower the prevalence of uncontrolled hypertension. Low level of education and history of cardiovascular events had, respectively, higher and lower odds of uncontrolled BP. In men, additional risk factors included overweight and obesity (aOR, 1.15; 95% CI, 1.00-1.32; and aOR, 1.45; 95% CI, 1.23-1.70, respectively), lack of physical activity (aOR, 1.20; 95% CI, 1.04-1.40), low adherence to a Dietary Approach to Stop Hypertension diet (aOR, 1.21; 95% CI, 1.05-1.40) and heavy alcohol consumption (aOR, 1.33; 95% CI, 1.08-1.63), with the last two factors persisting across different stages of uncontrolled BP.

CONCLUSIONS

From a population-based perspective, socio-economic and behavioural characteristics were risk factors for uncontrolled hypertension, but they differed by sex and by stage of uncontrolled hypertension. Modifiable risk factors, such as weight, diet, physical activity and alcohol consumption, have an important role in the control of hypertension.

Renal Denervation: A Practical Guide for Health Professionals Managing Hypertension

Growing evidence demonstrates the suitability of renal denervation in a broad population of patients; however, questions remain over its suitability and practical implementation. Given the rapidity of emerging data, this has been a challenging field for potential adopters to navigate. The purpose of this article is twofold: to provide navigation through emerging clinical data and evolving guidance; and to provide physicians with practical, evidence-based advice for identifying eligible patients and providing appropriate management in the pre- and postintervention settings. Although many of these recommendations are based on existing published guidance documents, we reflect equally on our own experiences of using this technology.

Blood pressure control status of patients with hypertension on treatment in Dessie City Northeast Ethiopia

INTRODUCTION

Uncontrolled blood pressure contributes a huge contribution to many hypertension-related complications and it is one of the unbeaten problems for patients taking antihypertensive drugs. The association of social support and other factors with uncontrolled blood pressure during the covid-19 pandemic is not well investigated. Therefore, this study explored the determinants of blood pressure control status during the COVID-19 pandemic among patients with hypertension who were on an antihypertensive treatment.

METHOD

A cross-sectional study was done from March to May 2021 among adults aged 18 or more patients with hypertension for three months or more on treatment in Dessie City. An interview-administered questionnaire was done using simple random sampling from hypertension follow-up register for 380 patients with hypertension. Blood pressure measurement was taken from their arm using a stethoscope and mercury sphygmomanometer at a sitting position with 90-degree back support. Uncontrolled blood pressure was also computed either the systolic or diastolic blood pressure greater than or less than the limit of uncontrolled blood pressure with regarding the age and diabetic status of patients. The perceived social support-related questionnaire was adopted from the Multidimensional Scale of Perceived Social Support (MSPSS) -12 item checklist. It was sum-up and transformed into three categories using tertile of their computed raw scores. The adjusted prevalence ratio with a 95 percent confidence interval (CI) was used to calculate the strength of the association between uncontrolled blood pressure and independent predictors using log-binomial regression analysis. A P-value less than 0.05 was declared as statistically significant in multivariable log-binomial regression analysis.

RESULT

A total of 360 study participants were included in this study. The prevalence of uncontrolled blood measures in patients with hypertension with a 95% CI was 55.8(50.7, 61.0). In a multivariable analysis adjusted prevalence ratio with 95% CI for poor medication adherence 1.86(1.59,2.19), being male 1.35(1.11,1.64), secondary education 0.52(0.35,0.77), and low social support 1.24(1.01, 1.54) were the predictors of uncontrolled blood pressure.

CONCLUSION

Uncontrolled blood pressure for patients with hypertension on treatment is higher during the COVID-19 pandemic. Being male, poor medication adherence, educational status and low social support are factors that contribute to uncontrolled blood pressure.

Non-Adherence to Prescribed Antihypertensives in Primary, Secondary and Tertiary Healthcare Settings in Islamabad, Pakistan: A Cross-Sectional Study

OBJECTIVE

This study aimed to assess the prevalence and predictors of non-adherence to antihypertensive medication among patients with hypertension attending various healthcare settings in Islamabad, Pakistan.

METHODS

A questionnaire-based cross-sectional study was conducted in selected healthcare facilities between September 2017 and December 2018. The study was conducted in primary, secondary and tertiary healthcare settings in Islamabad, Pakistan. Medication adherence was assessed using the eight-item Morisky Medication Adherence Scale (MMAS-8). Sociodemographic and clinical data of recruited patients were collected through a structured questionnaire. Binary logistic regression analysis was performed to determine covariates significantly associated with medication adherence and blood pressure control.

RESULTS

A total of 776 hypertensive patients were invited and 741 (95%) completed the questionnaire. The mean ± SD age of participants was 53.6±12.6 years; 284 patients (38.3%) had high adherence, 178 (24%) had moderate adherence and 279 (37.7%) were non-adherent to the prescribed antihypertensive therapy. Binary regression analysis revealed that old age (OR 1.783 [95% CI: 1.172-2.712]; P=0.013), being educated (OR 2.018 [95% CI: 1.240-3.284]; P=0.036), entitlement to free medical care (OR 1.369 [95% CI: 1.009-1.859]; P=0.044), treatment duration (OR 2.868 [95% CI: 1.913-4.299]; P=0.001), number of medications (OR 1.973 [95% CI: 1.560-2.495]; P=0.001), presence of any comorbidity (OR 2.658 [95% CI: 1.836-3.848]; P=0.001) and blood pressure control (OR 3.103 [95% CI: 2.268-4.247]; P=0.001) were significantly associated with good adherence. Similarly, age (OR 1.998 [95% CI: 1.313-3.040]; P=0.004), entitlement to free medical care (OR 1.498 [95% CI: 1.116-2.010]; P=0.007), treatment duration (OR 1.886 [95% CI: 1.143-3.113]; P=0.013), presence of any comorbidity (OR 1.552 [95% CI: 1.123-2.147]; P=0.008) and adherence level (OR 3.103 [95% CI: 2.268-4.247]; P=0.001) had significant association with controlled blood pressure. The following were the main reasons for non-adherence to prescribed antihypertensive medication: "don't feel need for regular use" (24.7%), "Carelessness" (13.4%) and "adverse effects" (11.2%).

CONCLUSION

The prevalence of non-adherence to antihypertensive medications was high in the study population and poor medication adherence could potentially explain poor blood pressure control. Evidence-based targeted interventions on both medication adherence and blood pressure control should be introduced and implemented for better treatment outcomes.

Prevalence of risk factors of non-communicable diseases in Kerala, India: results of a cross-sectional study

OBJECTIVE

To estimate the prevalence of non-communicable disease (NCD) risk factors in Kerala.

DESIGN

A community-based, cross-sectional survey.

PARTICIPANTS

In 2016-2017 a multistage, cluster sample of 12 012 (aged 18-69 years) participants from all 14 districts of Kerala were studied.

MAIN OUTCOME MEASURES

NCD risk factors as stipulated in the WHO's approach to NCD risk factors surveillance were studied. Parameters that were studied included physical activity score, anthropometry, blood pressure (BP), and fasting blood glucose (FBG) and morning urine sample to estimate dietary intake of salt.

RESULTS

The mean age was 42.5 years (SD=14.8). Abdominal obesity was higher in women (72.6%; 95% CI 70.7 to 74.5) compared with men (39.1%; 95% CI 36.6 to 41.7), and also higher among urban (67.4%; 95% CI 65.0 to 69.7) compared with rural (58.6%; 95% CI 56.6 to 60.5) residents. Current use of tobacco and alcohol in men was 20.3% (95% CI 18.6 to 22.1) and 28.9% (95% CI 26.5 to 31.4), respectively. The estimated daily salt intake was 6.7 g/day. The overall prevalence of raised BP was 30.4% (95% CI 29.1 to 31.7) and raised FBG was 19.2% (95% CI 18.1 to 20.3). Raised BP was higher in men (34.6%; 95% CI 32.6 to 36.7) compared with women (28%; 95% CI 26.4 to 29.4), but was not different between urban (33.1%; 95% CI 31.3 to 34.9) and rural (29.8%; 95% CI 28.3 to 31.3) residents. Only 12.4% of individuals with hypertension and 15.3% of individuals with diabetes were found to have these conditions under control. Only 13.8% of urban and 18.4% of rural residents did not have any of the seven NCD risk factors studied.

CONCLUSION

Majority of the participants had more than one NCD risk factor. There was no rural-urban difference in terms of raised BP or raised FBG prevalence in Kerala. The higher rates of NCD risk factors and lower rates of hypertension and diabetes control call for concerted primary and secondary prevention strategies to address the future burden of NCDs.