Patient perspectives on priorities for research on conventional and sex- and gender-related cardiovascular risk factors.

BACKGROUND: Recently, cardiovascular disease (CVD) research has focused on sex- and gender-related cardiovascular risk factors, in addition to conventional risk factors. This raises the question which factors are perceived by the target group (patients with CVD) as priorities for further research. METHODS: We carried out a survey to study priority setting for more research into conventional and sex- and gender-related risk factors according to 980 men and women with CVD or those at increased risk of CVD in the Netherlands. Data on conventional and sex- and gender-related risk factors were descriptively analysed, stratified by gender group. RESULTS: The most frequently prioritised conventional factors according to men were heritability, overweight and unhealthy diet, while women most frequently listed stress, heritability and hypertension. The most frequently prioritised sex- and gender-related risk factors were depression or depressive feelings, migraine and having many caretaking responsibilities (men), and pregnancy complications, contraceptive pill use and early age at menopause (women). New research on sex- and gender-related risk factors was perceived roughly as relevant as that on conventional factors by men (mean 7.4 and 8.3 on a 1-10 scale, respectively) and women (8.2 and 8.6, respectively). Ethnic and gender minority groups placed more emphasis on risk factors related to sociocultural aspects (gender) than the majority group. CONCLUSION: Men and women with CVD or those at increased risk of CVD perceived new research on conventional and sex- and gender-related risk factors as a priority. These findings may guide researchers and funders in further prioritising new CVD research.

Is early menopause a potential criterion for cardiovascular risk screening to detect high risk in a multi-ethnic population? The Helius study.

BACKGROUND: Women at risk of cardiovascular disease (CVD) may be missed with current eligibility criteria for CVD risk screening, particularly those from ethnic minority groups, among whom high risk is prevalent at a younger age. Early menopause (EM; menopause before 45 years) is associated with increased risk of CVD, and may be a potential eligibility criterion for CVD risk screening. AIMS AND OBJECTIVES: To determine the contribution of EM to current criteria from patient history (having a family history of CVD, current smoking, obesity and age over 50 years) for identifying women eligible for CVD risk screening in a multi-ethnic population. METHODS AND RESULTS: We used baseline data (2011-2015) from 4512 women aged 45-70 years of Dutch, South-Asian Surinamese, African Surinamese, Ghanaian, Turkish and Moroccan ethnic origin from the HELIUS study (Amsterdam, Netherlands). Models based on current eligibility criteria with and without EM were compared on area under the curve (AUC) with regard to estimated 10-year CVD risk using the Dutch SCORE. Overall, models with EM had a higher AUC, but changes were not statistically significant. In our total sample of women aged between 45 and 70 years, the AUC changed from 0.70 (95%CI 0.69-0.72) to 0.71 (95%CI 0.69-0.72). Among women aged 45-50 years the AUC changed from 0.66 (95%CI 0.58-0.74) to 0.68 (95%CI 0.59-0.74). Results were consistent across ethnic groups. CONCLUSIONS: The addition of EM to current eligibility criteria did not improve the detection of women at high CVD risk in a multi-ethnic sample of women aged 45-70 years.

Daytime sleep duration and the development of childhood overweight: the KOALA Birth Cohort Study.

Reduced nighttime sleep is a risk factor for childhood overweight, but the association between daytime sleep and overweight is unknown. The aim of this study is to evaluate daytime sleep duration as an independent risk factor for childhood overweight. Data from the KOALA Birth Cohort Study on daytime and nighttime sleep at 2 years (N = 2322), and body mass index (BMI) around 2, 5, 6, 7, 8 and 9 years were used. Multivariable general estimating equation regression analyses were performed to examine the associations of sleep duration with BMI (linear) and overweight (logistic). No associations between daytime sleep and BMI or overweight were found, whereas longer nighttime sleep was associated with lower BMI and lower risk of overweight persisting up to age 9. Daytime sleep duration is probably less relevant for prevention of childhood overweight.