Health Behavior Risk Factors Across Age as Predictors of Cardiovascular Disease Diagnosis

Cardi, Michelle; Munk, Niki; Zanjani, Faika; Kruger, Tina M.; Schaie, K. Warner; Willis, Sherry L.

doi:10.1177/0898264309333312

Cited by 18 publications

(19 citation statements)

References 19 publications

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“…The majority of investigations that have examined relationships among health behaviors and inflammation in the context of aging have focused on poor health behaviors such as excessive alcohol use, smoking, lack of physical activity and short sleep duration (8, 10–12). More recently, however, there has been a paradigm shift in health behaviors research to focus on positive health behaviors, defined as voluntary and modifiable actions that help prevent illness and promote health, and their associated health benefits.…”

Section: Introductionmentioning

confidence: 99%

Sleep Variability, Health-Related Practices, and Inflammatory Markers in a Community Dwelling Sample of Older Adults

Okun

Reynolds

Buysse

et al. 2011

Psychosomatic Medicine

103

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Background Low-grade chronic inflammation is an important risk factor for age-related morbidity. Health behaviors, including average aggregate measures of sleep, have been linked to increased inflammation in older adults. Variability in sleep timing may also be associated with increased inflammation. This study evaluated relationships among several health behaviors and circulating proinflammatory cytokines (IL-6 and TNF-α). Method Participants were community dwelling older adults >60 years (N = 222: 39 bereaved, 55 caregivers, 52 with insomnia, and 76 good sleepers). Mean values and intra-individual variability in sleep, as well as caffeine and alcohol use, exercise, and daytime napping were assessed by sleep diaries. Blood draws were obtained in the morning. Results Several interactions were noted between sleep behaviors, inflammatory markers, and participant group. Greater variability in wake time and time in bed was associated with higher IL-6 among good sleepers relative to caregivers and older adults with insomnia. Good sleepers who consumed moderate amounts of alcohol had the lowest concentrations of IL-6 compared to the other three groups who consumed alcohol. Insomnia subjects, but not good sleepers, showed increased concentrations of IL-6 associated with caffeine use. Caregivers showed increased concentrations of TNF-α with alcohol use relative to good sleepers. Greater variability in bedtime, later wake times and longer time in bed was associated with higher TNF-α regardless of group. Conclusions Moderation and regularity in the practice of certain health behaviors, including sleep practices, were associated with lower plasma levels of inflammatory markers in older adults. Life circumstances and specific sleep disorders may modify these associations.

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Section: Introductionmentioning

confidence: 99%

Sleep Variability, Health-Related Practices, and Inflammatory Markers in a Community Dwelling Sample of Older Adults

Okun

Reynolds

Buysse

et al. 2011

Psychosomatic Medicine

103

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“…Among adults, it has been shown that clustering of adverse health behaviours is common and increases the morbidity and mortality (Boden-Albala and Sacco 2000; Cardi et al 2009). It was also demonstrated that unhealthy behaviours tend to aggregate since early ages (Jessor 1984;Talashek et al 2003;Gorely et al 2007;te Velde et al 2007), but it is still unknown if dietary habits cluster together with other known unhealthy behaviours in early adolescence, since it may be expected that at this age dietary choices are still under a relatively high parental control (Birch and Fisher 1998;Savage et al 2007).…”

Section: Introductionmentioning

confidence: 99%

Clustering behaviours among 13-year-old Portuguese adolescents

et al. 2010

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Aim: The aims of this study were to identify clustering of behaviours in young adolescents and to analyse differences in food intake according to clusters. Subject and methods: A cross-sectional study was carried out on adolescents’ behaviours comprising 2,160 adolescents aged 13 years attending schools of Porto, Portugal. We used data of 875 girls and 737 boys with complete information for all variables considered in the cluster definition (tobacco and alcohol use, sport activities, fruit intake, daily sleep hours). The average method was used to find the natural structure of clusters. Results: We identified three clusters: cluster 1 characterized by never smokers and never drinkers represented those with higher intake of fruits and lower intake of soft drinks. Cluster 2 comprised essentially tobacco and alcohol experimenters and was almost similar to cluster 1 regarding the other characteristics. Cluster 3 represented mostly regular smokers and drinkers, and those with the lowest daily sport activities, the lowest number of daily sleep hours, the lowest mean of fruit consumption and the highest intake of sweets and soft drinks. Conclusion: Our findings show that even in the early stages of adolescence there is a cluster of smoking, alcohol use and food intake, providing further evidence of the clustering of unhealthy behaviours

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“…The prevalence of CV disease has been shown to increase not only with increased number of behavioral risk factors but also with age and obesity level [59]. In addition, obesity was positively associated with the risk of premature death from endogenous causes in populations as young as children supporting the view that childhood obesity is a marker of early metabolic derangement, whereas most of the other risk factors evolve later [60].…”

Section: Discussionmentioning

confidence: 99%

The relationships between body composition and cardiovascular risk factors in young Australian men

Liberato

Maple-Brown

Bressan

et al. 2013

Nutr J

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IntroductionCardiovascular (CV) disease is a leading cause of global mortality. Despite clear evidence of the coexistence of several risk factors in young people as children and an understanding of the importance of the health behaviors in controlling CV disease, there are limited data on the relationships between risk factors and CV disease in young people. Therefore further study is required.ObjectiveThis study aimed to investigate associations among body composition, health behaviors and CV risk factors in young Australian men.MethodsThirty five healthy men aged 18–25 years had their blood pressure (BP), blood lipids, body composition, resting metabolic rate (RMR), physical activity, dietary intake and cardiorespiratory fitness assessed.ResultsParticipants were categorised according to the percentage of body fat into two groups: lean and overweight men. There were no between-group differences in the biochemical indicators except that overweight men had lower HDL-C compared to lean men. Both groups had similar mean energy, protein, fat, carbohydrate and alcohol intake, RMR, physical activity level (PAL) and energy expenditure (EE). Most of the participants (65.7%) had LDL≥2.5 mmol/L. Other common individual risk factors were body fat≥20% (42.9%), waist circumference≥88 cm (28.6%), PAL<1.8 (22.9%) and systolic BP≥130 mmHg (20%). The mean number of CV risk factors was lower among men having a high intake of monounsaturated fatty acids (MUFA, >12% of the energy intake) regardless of whether they were overweight or lean and did not seem to differ according to the source of MUFA consumed.ConclusionsIt is a serious concern to observe such a high percentage of CV risk factors in a group of apparently healthy young men. The likelihood of multiple CV risk factors is greater among those with high body fatness and low MUFA intake. Intake of MUFA favorably affects CV risk factors regardless of the source.

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Health Behavior Risk Factors Across Age as Predictors of Cardiovascular Disease Diagnosis

Cited by 18 publications

References 19 publications

Sleep Variability, Health-Related Practices, and Inflammatory Markers in a Community Dwelling Sample of Older Adults

Sleep Variability, Health-Related Practices, and Inflammatory Markers in a Community Dwelling Sample of Older Adults

Clustering behaviours among 13-year-old Portuguese adolescents

The relationships between body composition and cardiovascular risk factors in young Australian men

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