Dataset Information

Among 10 sociodemographic and lifestyle variables, smoking is strongly associated with biomarkers of acrylamide exposure in a representative sample of the U.S. Population.

ABSTRACT: Hemoglobin adducts of acrylamide (HbAA) and glycidamide (HbGA) have been measured as biomarkers of acrylamide exposure and metabolism in a nationally representative sample of the U.S. population in the NHANES 2003-2004. We assessed the association of sociodemographic (age, sex, race-ethnicity, education, and income) and lifestyle (smoking, alcohol consumption, BMI, physical activity, and dietary supplement use) variables with these biomarkers in U.S. adults (aged ? 20 y). We used bivariate and multiple regression models and assessed the magnitude of an estimated change in biomarker concentration with change in a covariable for 2 biomarkers of acrylamide exposure. Smoking was strongly and significantly correlated with HbAA and HbGA concentrations (rs = 0.51 and 0.42, respectively), with biomarker concentrations being 126 and 101% higher in smokers compared with nonsmokers after adjusting for sociodemographic and lifestyle covariates. Age was moderately and significantly correlated with both biomarkers (rs = -0.21 and -0.22, respectively). BMI (rs = -0.11) and alcohol consumption (rs = 0.13) were weakly yet significantly correlated with HbAA concentrations only. The estimated percentage change in biomarker concentration was ? 20% for all variables other than smoking after adjusting for sociodemographic and lifestyle covariates. Using multiple regression models, the sociodemographic variables explained 9 and 7% whereas the sociodemographic and lifestyle variables together explained 46 and 25% of the variability in HbAA and HbGA, respectively, showing the importance of considering and adequately controlling for these variables in future studies. Our findings will be useful in the design and analysis of future studies that assess and evaluate exposure to acrylamide and its metabolism to glycidamide.

SUBMITTER: Vesper HW

PROVIDER: S-EPMC4822994 | biostudies-literature | 2013 Jun

REPOSITORIES: biostudies-literature

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Among 10 sociodemographic and lifestyle variables, smoking is strongly associated with biomarkers of acrylamide exposure in a representative sample of the U.S. Population.

Vesper Hubert W HW Sternberg Maya R MR Frame Tunde T Pfeiffer Christine M CM

The Journal of nutrition 20130417 6

Hemoglobin adducts of acrylamide (HbAA) and glycidamide (HbGA) have been measured as biomarkers of acrylamide exposure and metabolism in a nationally representative sample of the U.S. population in the NHANES 2003-2004. We assessed the association of sociodemographic (age, sex, race-ethnicity, education, and income) and lifestyle (smoking, alcohol consumption, BMI, physical activity, and dietary supplement use) variables with these biomarkers in U.S. adults (aged ≥ 20 y). We used bivariate and m ...[more]

PMID: 23596166

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Project description:BackgroundResearchers are increasingly acknowledging the importance of understanding patterns of engagement in multiple, as opposed to isolated, health behaviours. Accordingly, several studies, targeting various geographical regions, have begun to identify and characterize unique classes of individuals in terms of their engagement in health behaviours, towards gaining insights that might guide tailored health interventions. Our study extends this stream of research to the Israeli context, as well as examines whether certain sociodemographic characteristics tend to be associated with affiliation to a specific group of individuals, i.e., class membership.MethodsTwo large representative samples were obtained from the 2010 and 2017 National Social Surveys of the Israel Central Bureau of Statistics. Latent Class Analysis was used to identify different classes, based on levels of engagement in five health behaviours: fruit-and-vegetable consumption, physical activity, smoking avoidance, sleep, and influenza vaccination. Multinomial logistic regression was applied to test the associations between sociodemographic characteristics (age, gender, religion, education level) and class membership.ResultsWe identified three distinct classes (denoted "healthy", "unhealthy", and "mixed"). Overall, the "healthy" class was characterized by healthy levels of fruit-and-vegetable consumption and physical activity, a low rate of currently-smoking individuals, and a high proportion of influenza vaccination. The "mixed" class was characterized by healthy levels of fruit-and-vegetable consumption and sleep duration, moderate levels of physical exercise, a high proportion of currently light smokers, and a low rate of vaccination. The "unhealthy" class was marked by relatively low levels of engagement in health behaviours. Generally, older, Jewish, and more-educated individuals were more likely to belong to the "healthy" class, while young, non-Jewish, and less-educated individuals were more likely to belong to the "unhealthy" class. We further identified differences between the 2010 and 2017 samples (e.g., differences in men's likelihood of being in the "unhealthy" class), suggesting that some behavioural patterns might have changed over time.ConclusionThis research identified three classes of engagement in health behaviours across two large and representative samples. Moreover, the classes were associated with unique sociodemographic characteristics. Consequently, our findings can highlight health-behavioural patterns relevant to different sub-populations that should be considered in public health interventions.

Project description:Palliative care aims to improve quality of life for people with serious illness and their families. One potential barrier to palliative care uptake is inaccurate knowledge and/or negative beliefs among the general population, which may inhibit early interest in, communication about, and integration of palliative care following subsequent illness diagnosis. We explored knowledge and beliefs about palliative care among the general public using nationally-representative data collected in 2018 as part of the cross-sectional Health Information National Trends Survey. Only individuals who had heard of palliative care (n = 1,162, Mage = 51.8, 64% female) were queried on knowledge and beliefs. We examined whether self-assessed level of awareness of palliative care (i.e., knowing a little vs. enough to explain it) was associated with the relative likelihood of having accurate/positive beliefs, inaccurate/negative beliefs, or responding "don't know" to questions about palliative care. Respondents who indicated knowing a lot about palliative care had more accurate versus inaccurate knowledge than those who knew a little on only two of six items and more positive attitudes on only one of three items. In particular, respondents with greater awareness were equally likely to report that palliative care is the same as hospice and requires stopping other treatments, and equally likely to believe that palliative care means giving up and to associate palliative care with death. Those with higher awareness were less likely than those with lower awareness to respond "don't know," but greater awareness was not necessarily associated with having accurate or positive beliefs about palliative care as opposed to inaccurate or negative beliefs. Thus, even members of the general public who perceived themselves to know a lot about palliative care were often no less likely to report inaccurate knowledge or negative beliefs (versus accurate and positive, respectively). Findings suggest a need to improve awareness and attitudes about palliative care.

Dataset Information

Among 10 sociodemographic and lifestyle variables, smoking is strongly associated with biomarkers of acrylamide exposure in a representative sample of the U.S. Population.

Publications

Among 10 sociodemographic and lifestyle variables, smoking is strongly associated with biomarkers of acrylamide exposure in a representative sample of the U.S. Population.

Similar Datasets

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