Physical Activity for the Prevention of Cardiometabolic Disease

Author(s):  
Fiona Bull ◽  
Shifalika Goenka ◽  
Vicki Lambert ◽  
Michael Pratt
Author(s):  
Juned Siddique ◽  
Whitney A. Welch ◽  
David Aaby ◽  
Barbara Sternfeld ◽  
Kelley Pettee Gabriel ◽  
...  

2018 ◽  
Vol 43 (2) ◽  
pp. 139-144 ◽  
Author(s):  
Chelsea A. Pelletier ◽  
Maryam Omidvar ◽  
Masae Miyatani ◽  
Lora Giangregorio ◽  
B. Catharine Craven

Increased visceral adiposity places individuals with chronic spinal cord injury (SCI) at increased risk of cardiometabolic disease. The purpose of this study was to identify if people with chronic SCI who participate in any moderate- to vigorous-intensity leisure time physical activity (LTPA) have lower visceral adipose tissue (VAT) area compared with those who report none. Participants included 136 adult men (n = 100) and women (n = 36) with chronic (mean (±SD) 15.6 ± 11.3 years post-injury) tetraplegia (n = 66) or paraplegia (n = 70) recruited from a tertiary rehabilitation hospital. VAT area was assessed via whole-body dual-energy X-ray absorptiometry using a Hologic densitometer and the manufacturer’s body composition software. Moderate-to-vigorous LTPA was assessed using the Leisure Time Physical Activity Questionnaire for People with SCI (LTPAQ-SCI) or the Physical Activity Recall Assessment for People with SCI (PARA-SCI). Summary scores were dichotomized into any or no participation in moderate-to-vigorous LTPA to best represent the intensity described in current population-specific physical-activity guidelines. Data were analyzed using univariate and multiple regression analyses to identify the determinants of VAT. Overall, the model explained 67% of the variance in VAT area and included time post-injury, age-at-injury, android/gynoid ratio, waist circumference, and moderate-to-vigorous LTPA. Participation in any moderate-to-vigorous LTPA was significantly (95% confidence interval: –34.71 to –2.61, p = 0.02) associated with VAT after controlling for injury-related and body-composition correlates. Moderate-to-vigorous LTPA appears to be related to lower VAT area, suggesting potential for LTPA to reduce cardiometabolic disease risk among individuals with chronic SCI.


BMJ ◽  
2019 ◽  
pp. l1495 ◽  
Author(s):  
Mika Kivimäki ◽  
Archana Singh-Manoux ◽  
Jaana Pentti ◽  
Séverine Sabia ◽  
Solja T Nyberg ◽  
...  

AbstractObjectiveTo examine whether physical inactivity is a risk factor for dementia, with attention to the role of cardiometabolic disease in this association and reverse causation bias that arises from changes in physical activity in the preclinical (prodromal) phase of dementia.DesignMeta-analysis of 19 prospective observational cohort studies.Data sourcesThe Individual-Participant-Data Meta-analysis in Working Populations Consortium, the Inter-University Consortium for Political and Social Research, and the UK Data Service, including a total of 19 of a potential 9741 studies.Review methodThe search strategy was designed to retrieve individual-participant data from prospective cohort studies. Exposure was physical inactivity; primary outcomes were incident all-cause dementia and Alzheimer’s disease; and the secondary outcome was incident cardiometabolic disease (that is, diabetes, coronary heart disease, and stroke). Summary estimates were obtained using random effects meta-analysis.ResultsStudy population included 404 840 people (mean age 45.5 years, 57.7% women) who were initially free of dementia, had a measurement of physical inactivity at study entry, and were linked to electronic health records. In 6.0 million person-years at risk, we recorded 2044 incident cases of all-cause dementia. In studies with data on dementia subtype, the number of incident cases of Alzheimer’s disease was 1602 in 5.2 million person-years. When measured <10 years before dementia diagnosis (that is, the preclinical stage of dementia), physical inactivity was associated with increased incidence of all-cause dementia (hazard ratio 1.40, 95% confidence interval 1.23 to 1.71) and Alzheimer’s disease (1.36, 1.12 to 1.65). When reverse causation was minimised by assessing physical activity ≥10 years before dementia onset, no difference in dementia risk between physically active and inactive participants was observed (hazard ratios 1.01 (0.89 to 1.14) and 0.96 (0.85 to 1.08) for the two outcomes). Physical inactivity was consistently associated with increased risk of incident diabetes (hazard ratio 1.42, 1.25 to 1.61), coronary heart disease (1.24, 1.13 to 1.36), and stroke (1.16, 1.05 to 1.27). Among people in whom cardiometabolic disease preceded dementia, physical inactivity was non-significantly associated with dementia (hazard ratio for physical activity assessed >10 before dementia onset 1.30, 0.79 to 2.14).ConclusionsIn analyses that addressed bias due to reverse causation, physical inactivity was not associated with all-cause dementia or Alzheimer’s disease, although an indication of excess dementia risk was observed in a subgroup of physically inactive individuals who developed cardiometabolic disease.


2014 ◽  
Vol 46 ◽  
pp. 375
Author(s):  
VITTORIO E. BIANCHI ◽  
William G. Herbert ◽  
Jonathan Myers ◽  
Paul M. Ribisl ◽  
Ronald L. Dalman

2021 ◽  
Vol 5 (Supplement_2) ◽  
pp. 604-604
Author(s):  
Marie Palmnäs-Bédard ◽  
Viktor Skantze ◽  
Agnetha Rastgaard-Hansen ◽  
Johan Dicksved ◽  
Jytte Halkjaer ◽  
...  

Abstract Objectives We hypothesize that individuals can be grouped into robust metabolic phenotypes (metabotypes) based on biochemical, anthropometric, gut microbial and metabolomics data and that such metabotypes will reflect differences in cardiometabolic disease risk and can act as targets for tailored nutritional prevention. We furthermore hypothesize that diet-gut microbiota interactions will be major determinants of the metabotypes. Methods Metabotyping is currently performed based on baseline data from 628 Danish adults from a validation sub-study of the Danish Diet Cancer and Health-Next Generation cohort. Participants were followed for one year, also providing data at 6 and 12 months. Dietary data was obtained by food frequency questionnaire and repeated 24h recalls and data on physical activity, smoking, sociodemographic factors, disease prevalence and use of medication was collected by questionnaires. Untargeted metabolomics and gut microbiota are currently determined. Metabotypes will be identified using clustering algorithms, variable optimization and data integration of the plasma metabolome, the 16S rRNA microbiota and 14 biochemical and anthropometric variables. Differences in habitual diet and physical activity across metabotypes will be determined as well as main metabotype determinants and potential plasma metabolite biomarkers. We will also assess the reproducibility of the metabotypes and biomarkers over time. Results Two clusters of individuals were identified by using the currently available clinical and anthropometric data. One of the clusters presented with mean values consistent with overweight, hypertension and dyslipidemia. Next, we will integrate the plasma metabolomics and gut microbial data into the analysis to determine the metabotypes. Conclusions We have identified one higher risk group and one lower risk group for cardiometabolic disease and will identify and characterize metabotypes based on more extensive data. Future research will assess whether individuals belonging to different metabotypes respond differently to dietary interventions. Funding Sources Formas, Sweden.


Circulation ◽  
2016 ◽  
Vol 133 (suppl_1) ◽  
Author(s):  
Fei Dong ◽  
Annie-Green Howard ◽  
Amy Herring ◽  
Amanda Thompson ◽  
Barry Popkin ◽  
...  

Introduction: While the household context is important for lifestyle interventions to reduce cardiometabolic disease, few studies have examined parent-child associations for diet and physical activity (PA) changes over time in a rapidly urbanizing country with burgeoning cardiometabolic disease rates. Hypotheses: We tested the hypotheses that although changes in diet and PA are associated in parents and their children, the magnitude of this association will decline over time and changes in these behaviors over time differ in adults versus children. Methods: We studied dietary and PA behaviors in parent-child pairs (children aged 7-17y) using longitudinal data from the China Health and Nutrition Survey (survey years: 1991, 1993, 1997, 2000, 2004, 2006, and 2009). Sample size varied at each year and on average there were 1,692 mother-child and 1,594 father-child pairs across all visits. Three-day 24-hour recall diet data were collected to generate percentage of total energy from animal-source foods (ASF), eating away from home, and snacking. Seven day PA recall across domains of PA included screen-based activity hours per week, and metabolic equivalent hours (MET-hrs) per week from commuting and leisure-time sports. Spearman partial correlation was used to test parent-child association, adjusting for child’s age and household sociodemographics. We used the Kruskal-Wallis test to examine differences of these behaviors across years. All models were stratified by child’s sex and parent’s sex. Results: We found statistically significant positive parent-child correlations for all dietary variables (correlation coefficients ranged from 0.49 to 0.89 across all years and all parent-child combinations, p<0.01), with stronger mother-child compared to father-child correlation. Whereas, parent-child associations for PA were weaker in magnitude. Coefficients ranged from 0.1 to 0.34 for screen-based hours, 0.08 to 0.17 for commuting, and 0.07 to 0.16 for leisure-time sports (p<0.05). Associations for commuting and leisure-time sports became non-significant at later years. Children and adults experienced statistically significant increases in the percentage of energy from ASF, eating away from home, and snacking, as well as in screen-based hours over time. Parents experienced a decrease in commuting MET-hrs over two decades (p<0.05), whereas children had minimal change. Leisure-time sports MET-hrs increased in children, and decreased in adults over time (p<0.05). Conclusions: Parent-child associations were comparatively stronger for diet than for PA. We observed an increase in energy from ASF, eating away from home, and snacking in parents and children over time, increases in PA in children and declines in adults. Our findings support household-based health behavior intervention strategies, particularly around diet-related behaviors.


2014 ◽  
Vol 2014 ◽  
pp. 1-18 ◽  
Author(s):  
Nisa M. Maruthur ◽  
Kimberly Gudzune ◽  
Susan Hutfless ◽  
Oluwakemi A. Fawole ◽  
Renee F. Wilson ◽  
...  

Patients with cardiometabolic disease are at higher risk for obesity-related adverse effects. Even without weight loss, weight maintenance may be beneficial. We performed a systematic review to identify the effect of nonweight loss-focused lifestyle interventions in adults with cardiometabolic disease. We searched MEDLINE, Embase, and the Cochrane Central Register of Controlled Trials to identify comparative studies of lifestyle interventions (self-management, diet, exercise, or their combination) without a weight loss focus in adults with or at risk for diabetes and cardiovascular disease. Weight, BMI, and waist circumference at ≥12 months were the primary outcomes. Of 24,870 citations, we included 12 trials (self-management,n=2; diet,n=2; exercise,n=2; combination,n=6) studying 4,206 participants. Self-management plus physical activity ± diet versus minimal/no intervention avoided meaningful weight (−0.65 to −1.3 kg) and BMI (−0.4 to −0.7 kg/m2) increases. Self-management and/or physical activity prevented meaningful waist circumference increases versus control (−2 to −4 cm). In patients with cardiometabolic disease, self-management plus exercise may prevent weight and BMI increases and self-management and/or exercise may prevent waist circumference increases versus minimal/no intervention. Future studies should confirm these findings and evaluate additional risk factors and clinical outcomes.


2019 ◽  
Vol 3 (Supplement_1) ◽  
Author(s):  
Sumera Inam ◽  
Nadia Shah

Abstract Objectives Substantial mortality and morbidity due to cardiometabolic diseases (CMD's) has significantly increased in low resource settings, including Pakistan. Ageing and unhealthy lifestyle practices (smoking, an unhealthy diet and physical inactivity) upsurge the risk, resulting in double burden on health care system. In this study, we determined the prevalence of CMD's and the associated risk factors using data from a large community survey. Methods A large community survey was conducted in Gulshan-e-Iqbal town, Karachi, Pakistan, using multi-stage sampling technique. Medical camps were set up accordingly to collect data. Data collection was based on socio-demographics, clinical diagnosis and self-reported history of the diseases. Hypertension, stroke, adiposity, dyslipidemia and diabetes were defined using standardized, cut-off values. Cardiometabolic disease was defined as the presence of at least one of the listed illnesses. Chi-square test and logistic regression was used to identify the risk factors for cardio metabolic diseases. Odd's ratio and 95% confidence interval were used to report the findings. Results Of the total 2968 participants, 51.8% adults were found with cardio-metabolic diseases. Of all, 39.7% had hypertension followed by 29.7% obesity, 23.1% diabetes and 11.9% dyslipidemia, respectively. A significant increasing trend was observed for age and body mass index (BMI) with the risk of CMD. Older respondents aged 50–59 years (OR = 2.18, 95% CI [1.77–2.70]), 60–69 years (OR = 3.0, 95% CI [2.28–3.96]) and > 70 years (OR = 3.04, 95% CI [2.06–4.48]) were significantly more likely to have CMD as compared to younger adults. Similarly, participants being overweight (OR = 1.39, 95% CI [1.16–1.67]), obese (OR = 1.70, 95% CI [1.41–2.05]) and married (OR = 1.41, 95% CI [1.07–1.86]) had higher of odds of developing cardiometabolic diseases. Moreover, physical activity was found to have a protective effect on CMD. Conclusions An apparent profile of cardiometabolic disease emerges as BMI and age increases; however a protective behavior was observed with physical activity. Understanding these findings, suggest multidisciplinary programs and policies for early detection of multiple chronic illnesses, additionally with behavioral guidelines to prevent further disease progression and complications. Funding Sources No funding was available.


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