Co-occurrence of risk factors for cardiovascular disease by social class: 1958 British birth cohort

Hypertension management in patients with cardiovascular comorbidities

Arterial hypertension is a leading cause of death globally. Due to ageing, the rising incidence of obesity, and socioeconomic and environmental changes, its incidence increases worldwide. Hypertension commonly coexists with Type 2 diabetes, obesity, dyslipidaemia, sedentary lifestyle, and smoking leading to risk amplification. Blood pressure lowering by lifestyle modifications and antihypertensive drugs reduce cardiovascular (CV) morbidity and mortality. Guidelines recommend dual- and triple-combination therapies using renin–angiotensin system blockers, calcium channel blockers, and/or a diuretic. Comorbidities often complicate management. New drugs such as angiotensin receptor-neprilysin inhibitors, sodium–glucose cotransporter 2 inhibitors, glucagon-like peptide-1 receptor agonists, and non-steroidal mineralocorticoid receptor antagonists improve CV and renal outcomes. Catheter-based renal denervation could offer an alternative treatment option in comorbid hypertension associated with increased sympathetic nerve activity. This review summarises the latest clinical evidence for managing hypertension with CV comorbidities.

[Impact of socioeconomic factors on blood pressure control: Observational study about 2887 hypertensive patients]

INTRODUCTION

Despite therapeutic progress, less than half of hypertensive patients are controlled. The objective of this study was to examine the links between blood pressure control and socioeconomic factors.

METHODS

We used data collected in the cardiology department of Sfax University Hospital as part of the Tunisian national hypertension registry. We studied the associations between the socio-economic variables (educational level, profession, medical insurance) and optimal blood pressure control (SBP<140mmHg and DBP<90mmHg) using logistic regression models.

RESULTS

The average age of our population was 65 and the sex ratio was 0.95. We found, as expected, the clinical and behavioral factors associated with a good blood pressure control, namely: female sex, low-sodium diet, therapeutic compliance, and regular physical activity. However, obesity and an increased number of antihypertensive drugs have been associated with poor blood pressure control. The study of the effect of socio-economic variables on BP control finds a significant gradient against the most disadvantaged social categories for our three social variables in the univariate analysis. The inclusion of clinical and behavioral factors in the multivariate analysis attenuated these associations but did not fully explain them.

CONCLUSION

Our study shows that there are social inequalities in the control of blood pressure. Social justice and improving living conditions are probably the real solutions to the problem of these social inequalities in health.

Association of socioeconomic status with hearing loss in Chinese working-aged adults: A population-based study

Hearing loss is the most common sensory impairment, but limited studies focused on the association of socioeconomic status (SES) with hearing loss among adults of working age. This paper aimed to fill this gap among Chinese adults. We obtained data from Ear and Hearing Disorder Survey conducted in four provinces of China in 2014-2015. The survey was based on WHO Ear and Hearing Disorders Survey Protocol and 25,860 adults aged 25 to 59 years were selected in this study. Trained local examiners performed pure tone audiometry to screen people with hearing loss, and those who were screened positively for hearing loss were referred to audiologists to make final diagnosis. SES was measured by occupation, education and income. Results show after adjusting for SES measures and covariates, in urban areas, compared with white-collar workers, blue-collar workers and the unemployed were more likely to have hearing loss, with an odds ratio of 1.2 (95%CI: 1.0, 1.3) and 1.2 (95%CI: 1.0, 1.4), respectively. Compared with people with education of senior high school or above, those with junior high school, primary school and illiteracy had 1.6 (95%CI: 1.4, 1.8), 2.1(95%CI: 1.7, 2.5) and 2.6 (95%CI: 1.9, 3.7) times as likely to have hearing loss, respectively. In rural areas, the unemployed had 1.5 (95%CI: 1.0, 2.3) times the risk of hearing loss compared with white-collar workers, and illiterates had 1.6 (95%CI: 1.6, 2.1) times the risk of hearing loss compared with people with education of senior high school or above, after SES variables and covariates were taken into considerations. Income was not significantly associated with hearing loss in urban and rural areas. In conclusion, SES, in the form of occupation and education, was associated with hearing loss among working-aged population, and further studies are needed to explore the mechanism of such association.

Prevalence, co-occurrence, and clustering of health-risk behaviors among people with different socio-economic trajectories: A population-based study

Only a few previously published studies have investigated the co-occurrence and clustering of health-risk behaviors in people with different socio-economic trajectories from childhood to adulthood. This study was based on data collected through the Stockholm County Council's public health surveys. We selected the 24,241 participants aged 30 to 65years, who responded to a postal questionnaire in 2010. Information on parents' and participants' educational levels was used for classification of four socio-economic trajectories, from childhood to adulthood: the 'stable high', the 'upwardly mobile', the 'downwardly mobile', and the 'stable low'. Information on daily smoking, risky drinking, physical inactivity, and poor diet was used for assessment of health-risk behaviors: their prevalence, co-occurrence, and clustering. We found all health-risk behaviors to be more prevalent among women and men with a downwardly mobile or stable low socio-economic trajectory. Accordingly, having three or four co-occurring health-risk behaviors were much more likely (up to 4 times, in terms of odds ratios) in these groups as compared to the women and men with an upwardly mobile or a stable high socio-economic trajectory. However, clustering of the health-risk behaviors was not found to be stronger in those with a downwardly mobile or stable low socio-economic trajectory. Thus, the fact that women and men with a disadvantageous socio-economic career were found to have co-occurring health-risk behaviors more often than people with an advantageous socio-economic career seemed to be generated by differences in prevalence of the health-risk behaviors, not by differences in clustering of the behaviors.

The Association between Educational Level and Cardiovascular and Cerebrovascular Diseases within the EPICOR Study: New Evidence for an Old Inequality Problem

BACKGROUND

A consistent association has been reported between low socioeconomic status (SES) and cardiovascular events (CE), whereas the association between SES and cerebrovascular events (CBVD) is less clear. The aim of this study was to investigate the association between SES (measured using education) and CE/CBVD in a cohort study, as well as to investigate lifestyle and clinical risk factors, to help to clarify the mechanisms by which SES influences CE/CBVD.

MATERIAL AND METHODS

We searched for diagnoses of CE and CBVD in the clinical records of 47,749 members of the EPICOR cohort (average follow-up time: 11 years). SES was determined by the relative index of inequality (RII).

RESULTS

A total of 1,156 CE and 468 CBVD were found in the clinical records. An increased risk of CE was observed in the crude Cox model for the third tertile of RII compared to the first tertile (hazard ratio [HR] = 1.39; 95% confidence interval [CI] 1.21-1.61). The increased risk persisted after adjustment for lifestyle risk factors (HR = 1.19; 95%CI 1.02-1.38), clinical risk factors (HR = 1.35; 95%CI 1.17-1.56), and after full adjustment (HR = 1.17; 95%CI 1.01-1.37). Structural equation model showed that lifestyle rather than clinical risk factors are involved in the mechanisms by which education influences CE. No significant association was found between education and CBVD. A strong relationship was observed between education and diabetes at baseline.

CONCLUSION

The most important burden of inequality in CE incidence in Italy is due to lifestyle risk factors.

Correlates of cardiovascular disease risk scores in women in Riyadh, Kingdom of Saudi Arabia

Saudi Arabia has a high prevalence of obesity and physical inactivity. We measured cardiovascular (CVD) risk scores and determined the factors associated with them in women in Riyadh, Saudi Arabia. A cross-sectional study using a self-administered questionnaire was conducted on 291 women aged ≥ 30 years. Information was collected on socio-demographics and physical health status. Anthropometric and blood pressure measurements were taken. Physical activity was measured using Kaiser's Physical Activity Survey and Godin's Leisure Time Exercise questionnaire. CVD risk scores were calculated using the non-laboratory-based Framingham Risk (FRS) prediction model for primary care. FRS scores ranged from 0.50 to 21.9. A total of 2.7% (n = 8) of women had a high FRS score (>20), 5.5% (n = 16) had intermediate scores (11-20), and 91.8% (n = 267) of women had low scores (<10) CVD risk scores. Multiple linear regression results indicated that a one-unit change in physical activity (household/caregiver index), strenuous exercise, waist circumference, number of children, television watching, and knee pain were significantly associated with -0.20 (p < .01), -0.12 (p = .03), 0.19 (p = .001), 0.29 (p < .01), 0.13 (p = .04), and 0.11 (p = .05) unit change in CVD risk scores, respectively. Household activities and strenuous exercise had a protective role in females in relation to CVD risk. Programs recommending physical activity at all levels should be encouraged.

Genome-wide association study meta-analysis of chronic widespread pain: evidence for involvement of the 5p15.2 region

BACKGROUND AND OBJECTIVES

Chronic widespread pain (CWP) is a common disorder affecting ∼10% of the general population and has an estimated heritability of 48-52%. In the first large-scale genome-wide association study (GWAS) meta-analysis, we aimed to identify common genetic variants associated with CWP.

METHODS

We conducted a GWAS meta-analysis in 1308 female CWP cases and 5791 controls of European descent, and replicated the effects of the genetic variants with suggestive evidence for association in 1480 CWP cases and 7989 controls. Subsequently, we studied gene expression levels of the nearest genes in two chronic inflammatory pain mouse models, and examined 92 genetic variants previously described associated with pain.

RESULTS

The minor C-allele of rs13361160 on chromosome 5p15.2, located upstream of chaperonin-containing-TCP1-complex-5 gene (CCT5) and downstream of FAM173B, was found to be associated with a 30% higher risk of CWP (minor allele frequency=43%; OR=1.30, 95% CI 1.19 to 1.42, p=1.2×10(-8)). Combined with the replication, we observed a slightly attenuated OR of 1.17 (95% CI 1.10 to 1.24, p=4.7×10(-7)) with moderate heterogeneity (I2=28.4%). However, in a sensitivity analysis that only allowed studies with joint-specific pain, the combined association was genome-wide significant (OR=1.23, 95% CI 1.14 to 1.32, p=3.4×10(-8), I2=0%). Expression levels of Cct5 and Fam173b in mice with inflammatory pain were higher in the lumbar spinal cord, not in the lumbar dorsal root ganglions, compared to mice without pain. None of the 92 genetic variants previously described were significantly associated with pain (p>7.7×10(-4)).

CONCLUSIONS

We identified a common genetic variant on chromosome 5p15.2 associated with joint-specific CWP in humans. This work suggests that CCT5 and FAM173B are promising targets in the regulation of pain.

Multi-exposure and clustering of adverse childhood experiences, socioeconomic differences and psychotropic medication in young adults

Purpose

Stressful childhood experiences have negative long-term health consequences. The present study examines the association between adverse childhood experiences, socioeconomic position, and risk of psychotropic medication in young adulthood.

Methods

This register-based cohort study comprises the birth cohorts between 1985 and 1988 in Sweden. We followed 362 663 individuals for use of psychotropic medication from January 2006 until December 2008. Adverse childhood experiences were severe criminality among parents, parental alcohol or drug abuse, social assistance recipiency, parental separation or single household, child welfare intervention before the age of 12, mentally ill or suicidal parents, familial death, and number of changes in place of residency. Estimates of risk of psychotropic medication were calculated as odds ratio (OR) with 95% confidence intervals (CIs) using logistic regression analysis.

Results

Adverse childhood experiences were associated with increased risks of psychotropic medication. The OR for more than three adverse childhood experiences and risk of psychotropic medication was for women 2.4 (95% CI 2.3–2.5) and for men 3.1 (95% CI 2.9–3.2). The risk of psychotropic medication increased with a higher rate of adverse childhood experiences, a relationship similar in all socioeconomic groups.

Conclusions

Accumulation of adverse childhood experiences increases the risk of psychotropic medication in young adults. Parental educational level is of less importance when adjusting for adverse childhood experiences. The higher risk for future mental health problems among children from lower socioeconomic groups, compared to peers from more advantaged backgrounds, seems to be linked to a higher rate of exposure to adverse childhood experiences.

Unevenly distributed: a systematic review of the health literature about socioeconomic inequalities in adult obesity in the United Kingdom

BACKGROUND

There is a growing literature documenting socioeconomic inequalities in obesity risk among adults in the UK, with poorer groups suffering higher risk.

METHODS

In this systematic review, we summarize and appraise the extant peer-reviewed literature about socioeconomic inequalities in adult obesity risk in the UK published between 1980 and 2010. Only studies featuring empirical assessments of relations between socioeconomic indicators and measures of obesity among adults in the UK were included.

RESULTS

A total of 35 articles met inclusion criteria, and were reviewed here.

CONCLUSION

Socioeconomic indicators of low socioeconomic position (SEP), including occupational social class of the head-of-household at birth and during childhood, earlier adulthood occupational social class, contemporaneous occupational social class, educational attainment, and area-level deprivation were generally inversely associated with adult obesity risk in the UK. Measures of SEP were more predictive of obesity among women than among men. We outline important methodological limitations to the literature and recommend avenues for future research.

Familial [corrected] transmission of coronary heart disease: a cohort study of 80,214 Swedish adoptees linked to their biological and adoptive parents

BACKGROUND

Studies of adoptees have the potential to disentangle the contributions of genetic versus family environmental factors in the familial [corrected] transmission of coronary heart disease (CHD) because adoptees do not share the same family environment as their biological parents. The aims of this study were as follows: (1) to examine the risk of CHD in adopted men and women with at least one biological parent with CHD and (2) to examine the risk of CHD in adopted men and women with at least one adoptive parent with CHD.

METHODS

The Swedish Multigenerational register was used to follow all Swedish-born adoptees (born in or after 1932, n = 80,214) between January 1, 1973, and December 31, 2008, for CHD. The risk of CHD was estimated in adopted men and women with at least one biological parent with CHD and adopted men and women with at least one adoptive parent with CHD. The control groups consisted of adopted men or women without a biological parent with CHD or adopted men or women without an adoptive parent with CHD.

RESULTS

Adopted men and women with at least one biological parent with CHD (n = 749) were 1.4 to 1.6 times (statistically significant, 95% CI) more likely to have CHD than adoptees without a biological parent with CHD. In contrast, men and women with at least one adoptive parent with CHD (n = 1,009) were not at increased risk of the disease.

CONCLUSIONS

These findings (based on validated hospital diagnoses unbiased by recall) suggest that the familial [corrected] transmission of CHD from parents to offspring is more related to genetic factors than to family environmental factors.

Physical (in)activity over 20 y in adulthood: associations with adult lipid levels in the 1958 British birth cohort

OBJECTIVES

To investigate associations between physical (in)activity at different life-stages and lipids in mid-adulthood, examining the role of potential confounding and mediating factors, such as adiposity.

METHODS

Data from the 1958 British birth cohort (n=7824) were examined. Using linear regression, we analysed prospectively reported frequency of activity and TV-viewing (23, 33, 42 and 45 y) in relation to total, LDL-, HDL-cholesterol and triglycerides, at 45 y.

RESULTS

Activity at different ages was associated with HDL-cholesterol and triglycerides at 45 y: e.g. in men, a 1 day/week greater activity frequency at 42 y was associated with 0.006 mmol/L higher HDL-cholesterol and 1.4% lower triglycerides. Most associations attenuated, but were not entirely explained by adjustment for covariates (life-styles and socio-economic factors): e.g. among men, the estimated 2.0% lower triglycerides per 1 day/week greater frequency at 33 y reduced to 1.8% after adjustment. Among women, though not men, activity at both 23 and 45 y contributed cumulatively to HDL-cholesterol. For sedentary behaviour, associations were found for sitting at work: a 1 h/day greater sitting among men was associated with a 0.012 mmol/L lower HDL-cholesterol after adjustment for covariates. Associations were seen for TV-viewing: e.g. in men, a 0.04 mmol/L lower HDL-cholesterol and 5.9% higher triglycerides per hour/day greater TV-viewing at 45 y, attenuated, respectively, to 0.03 mmol/L and 4.6% after adjustment for covariates. Associations attenuated further after adjustment for current BMI. Associations for total and LDL-cholesterol were less consistent.

CONCLUSION

Activity and sedentary behaviour at different adult ages were associated with HDL-cholesterol and triglycerides in mid-adulthood. Associations were partly mediated by other life-style factors and by BMI.

Education, occupation, noise exposure history and the 10-yr cumulative incidence of hearing impairment in older adults

The purpose of this study was to determine the 10-yr cumulative incidence of hearing impairment and associations of education, occupation and noise exposure history with the incidence of hearing impairment in a population-based cohort study of 3753 adults ages 48-92 yr at the baseline examinations during 1993-1995 in Beaver Dam, WI. Hearing thresholds were measured at baseline, 2.5 yr-, 5 yr-, and 10-yr follow-up examinations. Hearing impairment was defined as a pure-tone average (PTA)>25 dB HL at 500, 1000, 2000, and 4000 Hz. Demographic characteristics and occupational histories were obtained by questionnaire. The 10-yr cumulative incidence of hearing impairment was 37.2%. Age (5 yr; Hazard Ratio (HR)=1.81), sex (M vs W; HR=2.29), occupation based on longest held job (production/operations/farming vs others; HR=1.34), marital status (unmarried vs married; HR=1.29) and education (<16 vs 16+yr; HR=1.40) were associated with the 10 yr incidence. History of noisy jobs was not associated with the 10-yr incidence of hearing impairment. The risk of hearing impairment was high, with women experiencing a slightly later onset. Markers of socioeconomic status were associated with hearing impairment, suggesting that hearing impairment in older adults may be associated with modifiable lifestyle and environmental factors, and therefore, at least partially preventable.

Individual socioeconomic factors conditioning cardiovascular disease risk

BACKGROUND

Our objective is to ascertain whether the socioeconomic situation of individuals has an influence on the cardiovascular disease (CVD) risk estimation.

METHODS

The subjects were part of VAMPAHICA study and had been recently diagnosed as hypertensive. The study subjects were seen in primary care centers, were aged between 15 and 75 years and have never been treated for hypertension (HT). Normotensive individuals were also included in the study sample. All individuals answered a questionnaire that included questions related to sociodemographic and socioeconomic variables as well as habit and lifestyle variables. Of a total of 424 individuals initially invited to answer the questionnaire, 388 finally did so. Due to missing data in the dependent variables, 304 individuals were included in the European Society of Hypertension (ESH) risk tables and 287 in the Systematic Coronary Risk Evaluation (SCORE) tables. The response variable CVD risk, which is a polytomic variable, was estimated using an ordered probit model.

RESULTS

We found that individual's socioeconomic status, expressed mainly as their level of education, was an independent variable that had repercussions on the estimated CVD risk. This finding was more evident in the SCORE tables, and when risk was stratified according to the ESH tables the repercussions were only marginal. In particular, we found that individuals with only primary education had a 27% higher probability of CVD risk (> or =5%) in the SCORE tables, whereas individuals with a higher level of education had 50% less probability of high risk.

CONCLUSIONS

The CVD risk estimation tables for the general population (SCORE) reflect the socioeconomic factor better than the CVD risk stratification tables for HT (ESH tables). Target organ damage (TOD) is an important factor for stratifying risk in the ESH tables; however, the SCORE tables do not take this into account. Therefore, socioeconomic factors may already be incorporated in the ESH tables through an intermediate variable, such as TOD.