The Relationship Between Psychosocial Status and Hypertensive Condition

Matei, Ştefania; Cutler, Stephen J.; Preda, Marian; Dorobanțu, Maria; Ilinca, Corina; Gheorghe‐Fronea, Oana; Rădulescu, Luminiţa; Oprescu, Nicoleta; Deaconu, Alexandru; Zorila, C.; Dorobanţu, Bogdan

doi:10.1007/s11906-018-0902-y

Cited by 8 publications

(4 citation statements)

References 54 publications

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“…Prior work indicates that lower socioeconomic status (SES) is related to higher SBP (SBP) (Brummett et al, 2011; Chaix et al, 2010; Manuck, Phillips, Gianaros, Flory, & Muldoon, 2010; Metcalf et al, 2008). Individuals lacking in higher education are more likely to have hypertension, along with uncontrolled blood pressure values (Matei et al, 2018). Related work also shows that neighborhood socioeconomic status is related to systolic blood pressure among older individuals (Wagner, Boing, Subramanian, Hofelmann, & D'Orsi, 2016).…”

Section: Introductionmentioning

confidence: 99%

Systolic Blood Pressure and Socioeconomic Status in a large multi-study population

Brummett

Babyak

Jiang

et al. 2019

SSM - Population Health

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The present study used harmonized data from eight studies (N = 28,891) to examine the association between socioeconomic status (SES) and resting systolic blood pressure (SBP). The study replicates and extends our prior work on this topic by examining potential moderation of this association by race and gender. We also examined the extent to which body mass index (BMI), waist circumference (WC), and smoking might explain the association between SES and SBP. Data were available from six race/gender groups: 9200 Black women; 2337 Black men; 7248 White women; 6519 White men; 2950 Hispanic women; and 637 Hispanic men. Multivariable regression models showed that greater annual household income was associated with lower SBP in all groups except Hispanic men. The magnitude and form of this negative association differed across groups, with White women showing the strongest linear negative association. Among Black men and Hispanic women, the association was curvilinear: relatively flat among lower income levels, but then negative among higher income ranges. Education also was independently, negatively related to SBP, though evidence was weaker for race and gender differences in the strength of the association. Higher BMI and WC were associated with higher SBP, and current smoking with lower SBP. Inclusion of these risk factors resulted in only a modest change in the magnitude of the SBP and SES relation, accounting on average about 0.4 mmHg of the effect of income and 0.2 mmHg of the effect of education—effects unlikely to be clinically significant. Further understanding of mechanisms underlying the association between SBP and SES may improve risk stratification in clinical settings and potentially inform interventions aimed at reductions in social disparities in health.

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Section: Introductionmentioning

confidence: 99%

Systolic Blood Pressure and Socioeconomic Status in a large multi-study population

Brummett

Babyak

Jiang

et al. 2019

SSM - Population Health

View full text Add to dashboard Cite

show abstract

“…Utilizing individual socioeconomic status (SES) indicators, such as household income, educational attainment, and occupation, to investigate the association with hypertension may introduce potential bias [ 49 ]. It is imperative to consider multiple indicators of SES when examining the relationship between SES and hypertension, as the influence of SES on hypertension may be the result of multiple factors such as family income, personal education level and occupation.…”

Section: Discussionmentioning

confidence: 99%

Relationship between socioeconomic status and hypertension incidence among adults in southwest China: a population-based cohort study

Luo,

Lin,

Zhang

et al. 2024

BMC Public Health

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Purpose To investigate the correlation between socioeconomic status (SES) and the incidence of hypertension among adults aged 18 or above in southwest China. Methods A multistage proportional stratified cluster sampling method was employed to recruited 9280 adult residents from 12 counties in southwest China, with all participants in the cohort tracked from 2016 to 2020. The questionnaire survey gathered information on demographics, lifestyle habits, and household income. The physical exam recorded height, weight, and blood pressure. Biochemical tests measured cholesterol levels. The chi-square test was employed to assess the statistical differences among categorical variables, while the Cox proportional hazards regression model was applied to evaluate the association between socioeconomic status (SES) and the incidence of hypertension. Results The finally effective sample size for the cohort study was 3546 participants, after excluding 5734 people who met the exclusion criteria. Adults in the highest household income group had a significantly lower risk of hypertension compared to those in the lowest income group (HR = 0.636, 95% CI: 0.478–0.845). Besides, when compared to individuals in the illiterate population, the risk of hypertension among adults with elementary school, junior high school, senior high school and associate degree educational level decreased respectively by 34.4% (HR = 0.656, 95%CI: 0.533–0.807), 44.9% (HR = 0.551, 95%CI: 0.436–0.697), 44.9% (HR = 0.551, 95%CI: 0.405–0.750), 46.1% (HR = 0.539, 95%CI: 0. 340–0.854). After conducting a thorough analysis of socioeconomic status, compared with individuals with a score of 6 or less, the risk of hypertension in participants with scores of 8, 10, 11, 12, and greater than 12 decreased respectively by 23.9% (HR = 0.761, 95%CI: 0.598–0.969), 29.7% (HR = 0.703, 95%CI: 0.538–0.919), 34.0% (HR = 0.660, 95%CI: 0.492–0.885), 34.3% (HR = 0.657, 95%CI: 0.447–0.967), 43.9% (HR = 0.561, 95%CI: 0.409–0.769). Conclusion The findings indicate a negative correlation between socioeconomic status and hypertension incidence among adults in southwest China, suggesting that individuals with higher socioeconomic status are less likely to develop hypertension.

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“…The reason for this may be that in the young and middle-aged population, high education improved the awareness level and rate of hypertension, thus helping to control the treatment of hypertension [21]. in elderly people with high education, high mental stress and a poor mental state were closely related to hypertension [22]. For this population, in addition to hypertension education, stress education should be provided.…”

Section: Discussionmentioning

confidence: 99%

Distribution of risk factors of hypertension patients in different age groups in Tianjin

Yang

Ren²,

Wang

et al. 2021

BMC Public Health

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Background To analyze the risk factors for hypertension in different age groups of urban and rural residents in Tianjin. Methods A total of 33,997 people (35–75 years old) from 13 community health service centers and primary hospitals in Tianjin participated in this study. They were divided into the youth group (≤ 40 years old), middle-aged group (41–65 years old), and elderly group (> 65 years old). Then, a questionnaire survey was administered, followed by physical and blood biochemical examinations. The demographic characteristics and prevalence were recorded and counted. Subsequently, risk factors were analyzed using univariate and stepwise multivariate logistic regression analysis. Results In the youth, middle-aged, and elderly groups, the prevalence rate of hypertension was 18.65, 51.80, and 76.61%, respectively. Logistic regression analysis showed that obesity(OR: 3.263, 95% CI: 1.039–1.656), men (OR: 2.117, 95% CI: 1.691–2.651), diabetes (OR: 1.978, 95% CI: 1.398–2.799), high triglycerides(OR 1.968 95% CI: 1.590–2.434) and family history of stroke (OR: 1.936, 95% CI: 1.287–2.911) are the five factors in youth. In middle-aged group, the significantly associating factors were obesity (OR: 2.478, 95% CI: 2.330–2.636), diabetes (OR: 2.173, 95% CI: 1.398–2.799), family history of stroke (OR: 1.808, 95% CI: 1.619–2.020), maleness (OR: 1.507, 95% CI: 1.412–1.609),Hypertriglyceridemia (OR 1.490 95% CI: 1.409–1.577),family history of cardiovascular disease (OR: 1.484, 95% CI: 1.307–1.684),Hypercholesterolemia (OR 1.228 95% CI: 1.160–1.299). In the elderly group, obesity (OR: 2.104, 95% CI: 1.830–2.418), family history of strokes (OR: 1.688, 95% CI: 1.243–2.292), diabetes mellitus (OR: 1.544, 95% CI: 1.345–1.773), family history of cardiovascular disease (OR: 1.470, 95% CI: 1.061–2.036), hypertriglyceridemia (OR: 1.348, 95% CI: 1.192–1.524) increased the risk for hypertension. Waist circumference (WC) and waist-to-height ratio (WHtR) increased with age, and the value of these two measures for predicting hypertension was better than BMI in middle-aged group. Conclusion Obesity is the most important risk factor for hypertension in all age groups. Diabetes, family history of strokes and high triglyceride were also significant risk factors for all age groups. There was a gender difference between the young and middle-aged groups, with men more likely to hypertension. Waist circumference (WC) and waist-to-height ratio (WHtR) were better predictors of hypertension than BMI in middle-aged group.

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The Relationship Between Psychosocial Status and Hypertensive Condition

Cited by 8 publications

References 54 publications

Systolic Blood Pressure and Socioeconomic Status in a large multi-study population

Systolic Blood Pressure and Socioeconomic Status in a large multi-study population

Relationship between socioeconomic status and hypertension incidence among adults in southwest China: a population-based cohort study

Distribution of risk factors of hypertension patients in different age groups in Tianjin

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