scholarly journals Habitual Nightly Fasting Duration, Eating Timing, and Eating Frequency are Associated with Cardiometabolic Risk in Women

Nutrients ◽  
2020 ◽  
Vol 12 (10) ◽  
pp. 3043
Author(s):  
Nour Makarem ◽  
Dorothy D. Sears ◽  
Marie-Pierre St-Onge ◽  
Faris M. Zuraikat ◽  
Linda C. Gallo ◽  
...  
Keyword(s):  
Cardiovascular Health ◽  
Cardiometabolic Risk ◽  
Heart Association ◽  
Cardiometabolic Health ◽  
Linear Regression Models ◽  
Cross Sectional ◽  
Eating Frequency ◽  
Nighttime Eating ◽  
Fasting Duration ◽  
Prospective Analyses

Nightly fasting duration (NFD) and eating timing and frequency may influence cardiometabolic health via their impact on circadian rhythms, which are entrained by food intake, but observational studies are limited. This 1-year prospective study of 116 US women (33 ± 12y, 45% Hispanic) investigated associations of habitual NFD and eating timing and frequency with cardiovascular health (CVH; American Heart Association Life’s Simple 7 score) and cardiometabolic risk factors. NFD, eating timing and frequency, and nighttime eating levels were evaluated from 1-week electronic food records completed at baseline and 1 y. In multivariable-adjusted linear regression models, longer NFD was associated with poorer CVH (β = −0.22, p = 0.016 and β = −0.22, p = 0.050) and higher diastolic blood pressure (DBP) (β = 1.08, p < 0.01 and β = 1.74, p < 0.01) in cross-sectional and prospective analyses, respectively. Later timing of the first eating occasion at baseline was associated with poorer CVH (β = −0.20, p = 0.013) and higher DBP (β = 1.18, p < 0.01) and fasting glucose (β = 1.43, p = 0.045) at 1 y. After adjustment for baseline outcomes, longer NFD and later eating times were also associated with higher waist circumference (β = 0.35, p = 0.021 and β = 0.27, p < 0.01, respectively). Eating frequency was inversely related to DBP in cross-sectional (β = −1.94, p = 0.033) and prospective analyses (β = −3.37, p < 0.01). In cross-sectional analyses of baseline data and prospective analyses, a higher percentage of daily calories consumed at the largest evening meal was associated with higher DBP (β = 1.69, p = 0.046 and β = 2.32, p = 0.029, respectively). Findings suggest that frequent and earlier eating may lower cardiometabolic risk, while longer NFD may have adverse effects. Results warrant confirmation in larger multi-ethnic cohort studies with longer follow-up periods.

Associations of Vigorous Gardening With Cardiometabolic Risk Markers for Middle-Aged and Older Adults

2021 ◽  
pp. 1-7
Author(s):  
Jonathan Kingsley ◽  
Nyssa Hadgraft ◽  
Neville Owen ◽  
Takemi Sugiyama ◽  
David W. Dunstan ◽  
...  
Keyword(s):  
Older Adults ◽  
Cardiometabolic Risk ◽  
Cross Sectional Study ◽  
Cardiometabolic Health ◽  
Risk Markers ◽  
Linear Regression Models ◽  
Cross Sectional ◽  
Vigorous Intensity ◽  
And Gender ◽  
Cardiometabolic Risk Markers

This study investigates the associations of vigorous-intensity gardening time with cardiometabolic health risk markers. This cross-sectional study (AusDiab) analyzed 2011–2012 data of 3,664 adults (55% women, mean [range], age = 59.3 [34–94] years) in Australia. Multiple linear regression models examined associations of time spent participating in vigorous gardening (0, <150 min/week, ≥150 min/week) with a clustered cardiometabolic risk (CMR) score and its components, for the whole sample and stratified by age and gender. Of participants, 61% did no vigorous gardening, 23% reported <150 min/week, and 16% reported ≥150 min/week. In the whole sample, spending ≥150 min/week in vigorous gardening was associated with lower CMR (lower CMR score, waist circumference, diastolic blood pressure, and triglycerides) compared with no vigorous gardening. Stratified analyses suggested that these associations were almost exclusively observed for older adults and women. These findings suggest the public health potential of vigorous-intensity gardening in reducing CMR.

Abstract P349: Accelerometer-measured Sleep Duration and Markers of Cardiometabolic Health: Findings From a Large Racially Ethnic Diverse Cohort of Older Adult Women

Circulation ◽  
2018 ◽  
Vol 137 (suppl_1) ◽  
Author(s):  
Kelsie M Full ◽  
Jacqueline Kerr ◽  
Dana Song ◽  
Atul Malhotra ◽  
Linda Gallo ◽  
...  
Keyword(s):  
Sleep Duration ◽  
Older Adult ◽  
Cardiovascular Health ◽  
Cardiometabolic Risk ◽  
Hdl Cholesterol ◽  
Cardiometabolic Health ◽  
Adult Women ◽  
Cross Sectional ◽  
Race Ethnicity ◽  
The Relationship

Background: Cross-sectional and prospective studies have demonstrated that self-reported short sleep is a predictor of cardiometabolic conditions including obesity, Type 2 Diabetes, and cardiovascular events. The relationship may be non-linear, with short and long sleep related to markers of cardiometabolic risk. Research on sleep duration and cardiometabolic health is limited by use of single item self-report sleep measures and homogeneous populations. The current study tested the hypothesis that accelerometer-measured sleep duration would be significantly associated with objective markers of cardiometabolic risk in older adult women. Methods: Cross-sectional data were analyzed in 2662 women (mean age: 79.05, 52.8% white, 29.8% black, 17.4% Hispanic), from the Objective Physical Activity and Cardiovascular Health Study, ancillary study to the Women’s Health Initiative. Women wore accelerometers on the hip for 24 hours over 7 days and completed a daily sleep log. To be included in the present analysis women must have validated night wear for at least 3 nights. Sleep data were scored according to a standard protocol using sleep logs and visual inspection of the accelerometer data. Body mass index (BMI) and fasting blood samples were obtained at home visits prior to accelerometer monitoring. Adjusting for age and race/ethnicity, linear regression models estimated the relationship between sleep duration and BMI (kg/m 2 ), HDL cholesterol, triglycerides, and glucose (mg/dL each), and C-reactive protein (CRP; mg/L). A quadratic term for sleep was included in the models to evaluate nonlinearity. Results: The mean nightly sleep duration in the sample was 489.6 mins per night (8.16 hours) with 14.8% of the sample sleeping less than 7 hours per night and 21% sleeping more than 9 hours per night. After adjusting for age and race/ethnicity, sleep duration was significantly related to BMI (regression coefficient [ B ] :- 0.034, p<.01), and the relationship appeared to be non-linear (quadratic, p=.02). The estimated quadratic function indicated a decreasing BMI as sleep duration increased up to 500 minutes/night, and then an increasing BMI as sleep duration continued to increase beyond 500 minutes/night. Additionally, sleep duration was significantly related to CRP ( B: - 0.005, p=.03), triglycerides ( B: 0.002, p=.03) and glucose ( B: - 0.125, p=.05), with both the CRP (quadratic, p =.02) and glucose (quadratic, p =.03) relationships appearing to be u-shaped and the triglyceride relationship linear. Sleep duration was not significantly related to HDL cholesterol. Conclusions: In older women, there is a significant relationship between sleep duration and cardiometabolic risk factors, independent of age and race/ethnicity. These cross-sectional relationships should be further explored in prospective studies to inform sleep guidelines for better cardiovascular health in older adult women.

scholarly journals Association of cardiovascular health and epigenetic age acceleration

2021 ◽  
Vol 13 (1) ◽  
Author(s):  
Tess D. Pottinger ◽  
Sadiya S. Khan ◽  
Yinan Zheng ◽  
Wei Zhang ◽  
Hilary A. Tindle ◽  
...  
Keyword(s):  
Dna Methylation ◽  
Cardiovascular Health ◽  
Heart Association ◽  
The United States ◽  
Cross Sectional ◽  
Epigenetic Age ◽  
Younger Age ◽  
Cardiovascular Morbidity And Mortality ◽  
Epigenetic Age Acceleration ◽  
Linear Regression Modeling

Abstract Background Cardiovascular health (CVH) has been defined by the American Heart Association (AHA) as the presence of the “Life’s Simple 7” ideal lifestyle and clinical factors. CVH is known to predict longevity and freedom from cardiovascular disease, the leading cause of death for women in the United States. DNA methylation markers of aging have been aggregated into a composite epigenetic age score, which is associated with cardiovascular morbidity and mortality. However, it is unknown whether poor CVH is associated with acceleration of aging as measured by DNA methylation markers in epigenetic age. Methods and results We performed a cross-sectional analysis of racially/ethnically diverse post-menopausal women enrolled in the Women’s Health Initiative cohort recruited between 1993 and 1998. Epigenetic age acceleration (EAA) was calculated using DNA methylation data on a subset of participants and the published Horvath and Hannum methods for intrinsic and extrinsic EAA. CVH was calculated using the AHA measures of CVH contributing to a 7-point score. We examined the association between CVH score and EAA using linear regression modeling adjusting for self-reported race/ethnicity and education. Among the 2,170 participants analyzed, 50% were white and mean age was 64 (7 SD) years. Higher or more favorable CVH scores were associated with lower extrinsic EAA (~ 6 months younger age per 1 point higher CVH score, p < 0.0001), and lower intrinsic EAA (3 months younger age per 1 point higher CVH score, p < 0.028). Conclusions These cross-sectional observations suggest a possible mechanism by which ideal CVH is associated with greater longevity.

scholarly journals Relation between uric acid and metabolic syndrome in subjects with cardiometabolic risk

2015 ◽  
Vol 13 (2) ◽  
pp. 202-208 ◽  
Author(s):  
Hellen Abreu da Silva ◽  
Júlia Cristina Cardoso Carraro ◽  
Josefina Bressan ◽  
Helen Hermana Miranda Hermsdorff
Keyword(s):  
Metabolic Syndrome ◽  
Uric Acid ◽  
Serum Uric Acid ◽  
Abdominal Obesity ◽  
Health Program ◽  
Cardiovascular Health ◽  
Cardiometabolic Risk ◽  
Cross Sectional Study ◽  
Cross Sectional ◽  
Potential Biomarker

Objective To identify possible relations between serum uric acid levels and metabolic syndrome and its components in a population with cardiometabolic risk. Methods This cross-sectional study included 80 subjects (46 women), with mean age of 48±16 years, seen at the Cardiovascular Health Program. Results The prevalence of hyperuricemia and metabolic syndrome was 6.3% and 47.1%, respectively. Uric acid level was significantly higher in individuals with metabolic syndrome (5.1±1.6mg/dL), as compared to those with no syndrome or with pre-syndrome (3.9±1.2 and 4.1±1.3mg/dL, respectively; p<0.05). The uric acid levels were significantly higher in men presenting abdominal obesity, and among women with abdominal obesity, lower HDL-c levels and higher blood pressure (p<0.05). Conclusion Uric acid concentrations were positively related to the occurrence of metabolic syndrome and its components, and there were differences between genders. Our results indicate serum uric acid as a potential biomarker for patients with cardiometabolic risk.

Abstract P113: The Probability of Maintaining Ideal Levels of Glucose in US Populations: The Hispanic Community Health Study/Study of Latinos (HCHS/SOL) and the National Health and Nutrition Examination Survey (NHANES)

Circulation ◽  
2014 ◽  
Vol 129 (suppl_1) ◽  
Author(s):  
Christy L Avery ◽  
Donglin Zeng ◽  
Sujatro Chakladar ◽  
Katelyn M Holliday ◽  
Dan Yu Lin ◽  
...  
Keyword(s):  
Ethnic Groups ◽  
Cardiovascular Health ◽  
Markov Models ◽  
Fasting Glucose ◽  
Heart Association ◽  
Health Study ◽  
Cross Sectional ◽  
Ideal Cardiovascular Health ◽  
Glucose Levels ◽  
Race Ethnicity

Ideal cardiovascular health is a novel concept adopted by the American Heart Association (AHA) that is operationalized through measurement and classification (ideal; intermediate; poor) of seven health metrics, including fasting glucose. Declines in the prevalence of ideal fasting glucose levels have been consistently associated with higher rates of cardiovascular disease, yet few studies have examined the ages at which such declines begin. We used cross-sectional data from NHANES (2007-2010, n=5,961) and the HCHS/SOL (n=14,357) to estimate the age-specific prevalence of ideal (<100 mg/dl without medication), intermediate (100-125 mg/dl or treated to <100 mg/dl) and poor (≥126 mg/dl) fasting glucose levels defined per AHA criteria among European American (EA), African American (AA), and Hispanic/Latino (H/L) participants ≥16 years of age. Race/ethnicity-stratified age-specific net probabilities of transitioning between ideal, intermediate and poor glucose levels were then calculated from cross-sectional estimates using state-of-the-art Markov models that accommodated complex sampling under the assumption that transitions remained stable across time. In all race/ethnic groups, approximately 80% of participants ≤20 years of age had ideal glucose levels. However, the estimated probability of maintaining ideal glucose levels after age 20 varied by race/ethnicity. For example, by the age of 40, the estimated probability of maintaining ideal levels of glucose over the next five years was approximately 90% for EAs and AAs and slightly higher for H/Ls (five-year probability: 92.1%, 95% CI: 91.1%, 93.1%). Among individuals with intermediate glucose levels at age 40, the estimated five-year probability of transitioning to poor levels of glucose was twice as high for AAs (five-year probability: 8.1%, 95% CI: 4.3%, 11.9%) and H/Ls (five-year probability: 9.8%, 95% CI: 8.0%, 11.6%) compared to EAs (five-year probability = 3.9%, 95% CI: 2.7%, 5.3%). Unfortunately, among participants with poor glucose levels, the estimated probability of transitioning to ideal glucose levels remained 0% for all race/ethnic groups and across all ages. Our results suggest that efforts to maintain ideal glucose levels should target young adults and extend through 40 years of age, given the sizeable prevalence of intermediate and poor levels of glucose observed by age 20, the estimated acceleration in the transition to intermediate and poor glucose levels that occurs between the second and fourth decade of life, and the negligible estimated probability of successfully re-attaining ideal glucose levels among those with intermediate or poor glucose levels. Enhanced efforts to identify and treat populations with poor glucose levels also are needed, since these populations would include persons with undiagnosed and therefore untreated type 2 diabetes.

scholarly journals Assessing nutritional quality as a ‘vital sign’ of cardiometabolic health

2019 ◽  
Vol 122 (2) ◽  
pp. 195-205
Author(s):  
Dorothée Buteau-Poulin ◽  
Paul Poirier ◽  
Jean-Pierre Després ◽  
Natalie Alméras
Keyword(s):  
Vital Sign ◽  
Nutritional Quality ◽  
Cardiovascular Health ◽  
Heart Association ◽  
Hdl Cholesterol ◽  
Activity Level ◽  
Cardiometabolic Health ◽  
Lifestyle Habits ◽  
Ideal Cardiovascular Health ◽  
Cholesterol Ratio

AbstractHigh overall nutritional quality (NQ) is an important component of ideal cardiovascular health, a concept introduced in 2010 by the American Heart Association. However, data on the independent contribution of overall NQ to the variation in the cardiometabolic risk (CMR) profile are limited. This observational study aimed to investigate the association between overall NQ and the CMR profile in 4785 participants (65⋅4 % of men, age 43⋅3 (sd 10⋅8) years) who underwent a cardiometabolic health evaluation, including lifestyle habits, anthropometric measurements, blood pressure, lipid profile and HbA1c concentrations. In addition, a submaximal exercise test was conducted to assess cardiorespiratory fitness (CRF). Using a standardised NQ questionnaire (twenty-five items food-based questionnaire), participants were classified into three subgroups: (1) low, (2) moderate or (3) high NQ and variance and multiple linear regression analyses were performed. Results showed that less than 15 % of participants presented a high NQ. A high NQ was associated with a healthier lifestyle habits and a more favourable CMR profile (lower values of waist circumference and cholesterol:HDL-cholesterol ratio, lower concentrations of non-HDL-cholesterol, TAG and HbA1c). Some of these associations were independent of age, physical activity level (PAL) and CRF. A better NQ was also associated with a lower proportion of participants presenting the hypertriacylglycerolaemic waist phenotype independently of both PAL and CRF. The present study suggests that overall NQ can be assessed with a short food-based questionnaire and should be considered in clinical practice as a new ‘vital sign’ associated with other health behaviours and cardiometabolic health.

scholarly journals The Influence of Sitting, Standing, and Stepping Bouts on Cardiometabolic Health Markers in Older Adults

2021 ◽  
pp. 1-9
Author(s):  
Simone J.J.M. Verswijveren ◽  
Cormac Powell ◽  
Stephanie E. Chappel ◽  
Nicola D. Ridgers ◽  
Brian P. Carson ◽  
...  
Keyword(s):  
Physical Activity ◽  
Older Adults ◽  
Body Composition ◽  
Linear Regression ◽  
Regression Models ◽  
Fasting Glucose ◽  
Cardiometabolic Health ◽  
Linear Regression Models ◽  
Cross Sectional

Aside from total time spent in physical activity behaviors, how time is accumulated is important for health. This study examined associations between sitting, standing, and stepping bouts, with cardiometabolic health markers in older adults. Participants from the Mitchelstown Cohort Rescreen Study (N = 221) provided cross-sectional data on activity behaviors (assessed via an activPAL3 Micro) and cardiometabolic health. Bouts of ≥10-, ≥30-, and ≥60-min sitting, standing, and stepping were calculated. Linear regression models were fitted to examine the associations between bouts and cardiometabolic health markers. Sitting (≥10, ≥30, and ≥60 min) and standing (≥10 and ≥30 min) bouts were detrimentally associated with body composition measures, lipid markers, and fasting glucose. The effect for time spent in ≥60-min sitting and ≥30-min standing bouts was larger than shorter bouts. Fragmenting sitting with bouts of stepping may be targeted to benefit cardiometabolic health. Further insights for the role of standing need to be elicited.

Sociodemographic characteristics and dietary patterns in cardiometabolic risk subjects

2019 ◽  
Vol 121 (11) ◽  
pp. 2780-2790 ◽  
Author(s):  
Brenda Kelly Souza Silveira ◽  
Juliana Farias de Novaes ◽  
Sarah Aparecida Vieira ◽  
Daniela Mayumi Usuda Prado Rocha ◽  
Arieta Carla Gualandi Leal ◽  
...  
Keyword(s):  
Principal Component Analysis ◽  
Dietary Patterns ◽  
Cardiovascular Health ◽  
Cardiometabolic Risk ◽  
Principal Component ◽  
Component Analysis ◽  
Unhealthy Lifestyle ◽  
Cross Sectional ◽  
Content Type ◽  
Traditional Pattern

Purpose The purpose of this paper is to examine the associations of dietary patterns with sociodemographic and lifestyle characteristics in a cardiometabolic risk population. Design/methodology/approach In this cross-sectional study data from 295 (n=123 men/172 women, 42±16 years) participants in a Cardiovascular Health Care Program were included. After a 24-hour recall interview the dietary patterns were determined using principal component analysis. Sociodemographic, clinical and lifestyle data were collected by medical records. Findings Subjects with diabetes and hypertension had a higher adherence in the “traditional” pattern (rice, beans, tubers, oils and meats). Poisson regression models showed that male subjects with low schooling and smokers had greater adherence to the “traditional” pattern. Also, students, women, and those with higher schooling and sleeping =7 h/night showed higher adherence to healthy patterns (whole grains, nuts, fruits and dairy). Women, young adults and those with higher schooling and fewer sleep hours had greater adherence to healthy dietary patterns. Those with low schooling and unhealthy lifestyle showed more adherence to the “traditional” pattern. Social implications The results indicate the importance to personalized nutritional therapy and education against cardiometabolic risk, considering the dietary patterns specific to each population. Originality/value Socioeconomic and lifestyle characteristics can influence dietary patterns and this is one of the few studies that investigated this relationship performing principal component analysis.

Clustering of Cardiometabolic Risk Factors among Children and Adolescents in a Rural Community in Ondo, Southwest Nigeria

2019 ◽  
Vol 66 (4) ◽  
pp. 366-376
Author(s):  
Akinwumi Ayodeji Akinbodewa ◽  
Ademola Oluseyi Adejumo ◽  
Oluwakemi Abiola Lamidi ◽  
Ogunleye Adeyemi
Keyword(s):  
Risk Factors ◽  
Risk Factor ◽  
Children And Adolescents ◽  
Cardiovascular Health ◽  
Cardiometabolic Risk ◽  
Density Lipoprotein ◽  
Serum Levels ◽  
High Serum ◽  
Cardiometabolic Risk Factors ◽  
Cross Sectional

Abstract Background Clustering of cardiometabolic risk factors is rapidly becoming prevalent among children and adolescents with grave implications for their cardiovascular health. We set out to determine prevalence and pattern of clustering of risk factors and, identify factors (if any) that determine their clustering. Methods A cross-sectional study of children (3–9 years) and adolescents (10–17 years) in a rural, agrarian community. Their blood pressure, body mass index and lipids were measured. Data was analyzed with SPSS 20. Results A total of 114 (M : F, 1 : 1.1) subjects were studied. The mean age of children and adolescents were 5.6 ± 2.1 and 12.9 ± 2.2 years respectively. The most prevalent cardiometabolic risk factors were elevated non-high density lipoprotein-cholesterol (HDL-c; 39.5%), low HDL-c (33.3%), prehypertension (12.3%) and overweight (9.6%). The prevalence of hypertension was higher among females (11.9% vs. 1.8%, p = 0.024) and adolescents (13.2% vs. 1.6%, p = 0.037). Serum levels of non-HDL-c was higher among adolescents than children (50.9% vs. 29.5%, p = 0.013). At least one risk factor was present in 68.4% of the subjects. Clustering of two and three risk factors were present in 18.4% and 6.1%. The presence of prehypertension (χ2 23.93, p &lt; .001), hypertension (χ2 12.19, p = 0.002), high serum non-HDL-c (χ2 6.336, p = 0.011) and high serum total cholesterol (TC; χ2 8.810, p &lt; 0.001) were associated with clustering of cardiometabolic risk factors. Conclusion The burden of cardiometabolic risk factors among children and adolescents is high. Identified determinants of risk factor clustering were prehypertension, hypertension, non-HDL-c and TC.

Abstract P315: Is Self-rated Health Associated With Ideal Cardiovascular Health? The Multi-Ethnic Study of Atherosclerosis

Circulation ◽  
2018 ◽  
Vol 137 (suppl_1) ◽  
Author(s):  
Olatokunbo I Osibogun ◽  
Oluseye Ogunmoroti ◽  
Erica S Spatz ◽  
Gregory L Burke ◽  
Erin D Michos
Keyword(s):  
Cardiovascular Health ◽  
Reference Group ◽  
Multinomial Logistic Regression ◽  
Heart Association ◽  
Cross Sectional ◽  
Ethnic Study ◽  
Ideal Cardiovascular Health ◽  
Health Insurance Status ◽  
Self Rated Health ◽  
Race Ethnicity

Introduction: Self-rated health (SRH) is a commonly used indicator of health status. It has been identified as a determinant of health-promoting behaviors and a predictor of morbidity and mortality. However, little is known about the association between SRH and ideal cardiovascular health (CVH) as measured by the American Heart Association Life’s Simple 7 (LS7) criteria. We examined whether SRH was associated with ideal CVH, for the overall cohort and by sex and race/ethnicity. Methods: We conducted a cross-sectional analysis of 6457 men and women of 4 race/ethnicities, aged 45 to 84 years, who participated in the Multi-Ethnic Study of Atherosclerosis. SRH was measured on a 5-point Likert scale (excellent, very good, good, fair and poor). CVH was determined using the LS7 score with each of the 7 metrics scored from 0-2, and a total score ranging from 0-14. Scores of 0-8 indicate an inadequate score, 9-10, average and 11-14, optimal. Odds ratios (OR) and 95% confidence intervals were calculated for the associations between SRH and LS7 score categories using multinomial logistic regression, adjusted for age, sex, race/ethnicity, education, income, marital status, health insurance status and chronic diseases Results: The mean age (SD) of participants was 62 (10) years; 53% were women. Approximately, 16% of participants rated their health as excellent, 33% very good, 41% good and 9% poor-fair. In this population, 47% had inadequate LS7 scores, 33%, average and 20% optimal. The odds of having a higher LS7 score increased as SRH improved. Using participants who rated their health as poor-fair as the reference group, the adjusted OR for having an optimal LS7 score in the overall cohort was: excellent 3.0 (2.1-4.3); very good 1.6 (1.1-2.1); good 1.2 (0.9-1.7). A similar trend was observed in the stratified analyses by sex and race/ethnicity ( Table ) Conclusion: A more favorable SRH was associated with better CVH irrespective of sex or race/ethnicity. Further research could explore whether optimization of SRH predicts cardiovascular outcomes.

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