Author Correction: Validation of the Sleep Regularity Index in Older Adults and Associations with Cardiometabolic Risk

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.

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14. Dietary considerations for reducing cardiometabolic risk in older adults

Human Health Handbooks - Handbook of nutrition in heart health ◽

10.3920/978-90-8686-853-7_14 ◽

2017 ◽

pp. 285-301

Author(s):

A.H. Lichtenstein

Keyword(s):

Older Adults ◽

Cardiometabolic Risk

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Changes in Cardiometabolic Risk Among Obese Older Adults After a 12-Month Exercise and Diet Intervention

Current Developments in Nutrition ◽

10.1093/cdn/nzaa063_010 ◽

2020 ◽

Vol 4 (Supplement_2) ◽

pp. 1612-1612

Author(s):

Anna Bragg ◽

Kristi Crowe-White ◽

Amy Ellis ◽

Julie Locher ◽

Jamy Ard ◽

...

Keyword(s):

Older Adults ◽

Weight Loss ◽

Cardiometabolic Risk ◽

Weight Maintenance ◽

Exercise Group ◽

Group Differences ◽

Intentional Weight Loss ◽

Time Interaction ◽

Weight Loss Group ◽

Syndrome Classification

Abstract Objectives Obesity imposes risk to cardiometabolic health; however, intentional weight loss in obese older adults remains controversial. Using data from the CROSSROADS Study (clinicaltrials.gov #NCT00955903), this ancillary study investigated effects of exercise with and without intentional weight loss on changes in cardiometabolic risk assessed by four risk-scoring tools. Methods Participants (n = 134, 39% male, 23% African American, 70.2 ± 4.7 y) were randomized to exercise (n = 48), exercise + nutrient-dense weight maintenance diet (n = 44), or exercise + nutrient-dense caloric restriction of 500 kcals/day (n = 42). The following risk scores were calculated using baseline and 12-month data: Framingham risk assessment, Cardiometabolic Disease Staging (CMDS), metabolic syndrome classification by the International Diabetes Federation (IDF), and metabolic syndrome classification by the National Cholesterol Education Program's Adult Treatment Panel (ATP III). Generalized Estimating Equations were employed to determine differences between groups with ethnicity, sex, and age as covariates. Results Group-time interaction was not significant in application of IDF or ATPIII. Group-time interaction was significant for Framingham and CMDS (P = 0.005 and 0.041, respectively). Upon post-hoc analysis, significant within-group improvements in Framingham scores were observed for exercise + weight maintenance (P < 0.001, r = −1.682) and exercise + weight loss (P = 0.020, r = −0.881). In analysis of between-group differences in Framingham scores, a significant decrease was observed in the exercise + weight maintenance group (P = 0.001, r = −1.723) compared to the exercise group. For CMDS, the exercise + weight loss group had significant within-group improvements (P = 0.023, r = - 0.102). For between-group differences in CMDS, the exercise + weight loss group showed significant risk score reduction (P = 0.012, r = −0.142) compared to the exercise group. Conclusions Risk assessment by Framingham and CMDS showed greater sensitivity to change in cardiometabolic risk factors. Results suggest obese older adults can lower cardiometabolic risk by engaging in exercise + weight maintenance or exercise + weight loss by moderate caloric restriction. Funding Sources R01AG033094 NIA, K07AG043588 NIA, P30DK056336 NIDDK.

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WHAT'S MOTIVATION GOT TO DO WITH IT? USING LATENT PROFILE ANALYSIS FOR BIOMARKERS & PHYSICAL ACTIVITY IN OLDER ADULTS

Innovation in Aging ◽

10.1093/geroni/igz038.3384 ◽

2019 ◽

Vol 3 (Supplement_1) ◽

pp. S930-S930

Author(s):

Elizabeth Teas ◽

Jay Kimiecik ◽

Rose Marie Ward ◽

Kyle Timmerman

Keyword(s):

Physical Activity ◽

Risk Factors ◽

Older Adults ◽

Latent Profile Analysis ◽

Cardiometabolic Risk ◽

Profile Analysis ◽

Cardiometabolic Risk Factors ◽

Self Determination ◽

Intuitive Eating ◽

Diet And Exercise

Abstract Heart disease is prevalent among older adults. The aim of this study was to a) identify different health behavioral motivation profiles among older adults; and b) investigate if these profiles differed in physical activity and cardiometabolic risk factors. Data on 79 participants (mean age = 68.76 years) was collected. Participants’ degree of intrinsic/extrinsic motivation for diet and exercise was assessed using intuitive eating and self-determination scales. Cardiometabolic risk factors included inflammation and blood lipids. Latent profile analysis was used to identify the optimal number of groups and one-way ANOVAs assessed group differences on the variables of interest. Three profiles were found to best represent the data. The most self-determined, or most intrinsically motivated, group comprised the highest number of participants. In line with Self-Determination Theory, this group demonstrated the highest levels of objective and self-reported physical activity as well as the lowest inflammation and most optimal cholesterol measures. The group with the lowest intuitive eating and high identified exercise regulation scores exhibited the worst outcomes among the three groups. The results suggest that among older adults, different types and levels of motivation for diet and exercise can coexist and interact, and these differences produce varying health outcomes. If supported by future work, these findings can inform practitioners in developing more specific and tailored interventions relevant to older adults based on their motivational profile.

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Physical Function and Strength in Relation to Inflammation in Older Adults with Obesity and Increased Cardiometabolic Risk

The journal of nutrition health & aging ◽

10.1007/s12603-019-1260-4 ◽

2019 ◽

Vol 23 (10) ◽

pp. 949-957 ◽

Cited By ~ 3

Author(s):

Jeannie Tay ◽

A. M. Goss ◽

J. L. Locher ◽

J. D. Ard ◽

B. A. Gower

Keyword(s):

Older Adults ◽

Physical Function ◽

Cardiometabolic Risk

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Light-Intensity Physical Activity and Cardiometabolic Risk Among Older Adults With Multiple Chronic Conditions

American Journal of Health Promotion ◽

10.1177/0890117118796459 ◽

2018 ◽

Vol 33 (4) ◽

pp. 507-515 ◽

Cited By ~ 4

Author(s):

Yueyao Li ◽

Kellee White ◽

Katherine R. O’Shields ◽

Alexander C. McLain ◽

Anwar T. Merchant

Keyword(s):

Physical Activity ◽

Risk Factors ◽

Blood Pressure ◽

Older Adults ◽

Light Intensity ◽

Total Cholesterol ◽

Chronic Conditions ◽

Cardiometabolic Risk ◽

Multiple Chronic Conditions ◽

Intensity Physical Activity

Purpose: To assess the relationship between light-intensity physical activity (LIPA) and cardiometabolic risk factors among middle-aged and older adults with multiple chronic conditions. Design: Cross-sectional design utilizing data from the Health and Retirement Study (2010, 2012). Setting: Laboratory- and survey-based testing of a nationally representative sample of community-dwelling middle aged and older adults. Participants: Adults aged 50 years and older (N = 14 996). Measures: Weighted metabolic equivalent of tasks was calculated using self-reported frequency of light, moderate, and vigorous physical activity. Cardiometabolic risk factors (systolic and diastolic blood pressure, glycosylated hemoglobin [HbA1c], high-density lipoprotein cholesterol [HDL-C], total cholesterol, and non-HDL-C) were objectively measured. A multiple chronic condition index was based on 8 self-reported chronic conditions. Analysis: Weighted multivariate linear regression models. Results: Light-intensity physical activity was independently associated with favorable HDL-C (β = 1.25; 95% confidence interval [CI]: 0.46-2.05) and total cholesterol (β = 2.72; 95% CI: 0.53-4.90) after adjusting for relevant confounders. The HDL-C health benefit was apparent when stratified by number of chronic conditions, for individuals with 2 to 3 conditions (β = 1.73; 95% CI: 0.58-2.89). No significant associations were observed between LIPA and blood pressure, HbA1c, or non-HDL-C. Conclusions: Engaging in LIPA may be an important health promotion activity to manage HDL-C and total cholesterol. Additional longitudinal research is needed to determine the causal association between LIPA and cardiometabolic risk which can potentially inform physical activity guidelines targeting older adults with multiple chronic conditions.

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