Let's read! We will often find out this sentence everywhere. When still being a kid, mom used to order us to always read, so did the teacher. Some books are fully read in a week and we need the obligation to support reading. What about now? Do you still love reading? Is reading only for you who have obligation? Absolutely not! We here offer you a new book enPDFd preventing chronic diseases a vital investment to read.

Preventing Chronic Diseases: A Vital Investment

This article reviews the scientific research that indicates that despite marked declines in public support for negative racial attitudes in the United States, racism, in its multiple forms, remains embedded in American society. The focus of the article is on the review of empirical research that suggests that racism adversely affects the health of nondominant racial populations in multiple ways. First, institutional racism developed policies and procedures that have reduced access to housing, neighborhood and educational quality, employment opportunities, and other desirable resources in society. Second, cultural racism, at the societal and individual level, negatively affects economic status and health by creating a policy environment hostile to egalitarian policies, triggering negative stereotypes and discrimination that are pathogenic and fostering health-damaging psychological responses, such as stereotype threat and internalized racism. Finally, a large and growing body of evidence indicates that experiences of racial discrimination are an important type of psychosocial stressor that can lead to adverse changes in health status and altered behavioral patterns that increase health risks.

/pdf/racism-and-health-i-pathways-and-scientific-evidence-uvsdsykho9.pdf

Racism and Health I: Pathways and Scientific Evidence

The prevalence of obesity has increased worldwide over the past few decades. In 2013, the prevalence of obesity exceeded the 50% of the adult population in some countries from Oceania, North Africa, and Middle East. Lower but still alarmingly high prevalence was observed in North America (≈30%) and in Western Europe (≈20%). These figures are of serious concern because of the strong link between obesity and disease. In the present review, we summarize the current evidence on the relationship of obesity with cardiovascular disease (CVD), discussing how both the degree and the duration of obesity affect CVD. Although in the general population, obesity and, especially, severe obesity are consistently and strongly related with higher risk of CVD incidence and mortality, the one-size-fits-all approach should not be used with obesity. There are relevant factors largely affecting the CVD prognosis of obese individuals. In this context, we thoroughly discuss important concepts such as the fat-but-fit paradigm, the metabolically healthy but obese (MHO) phenotype and the obesity paradox in patients with CVD. About the MHO phenotype and its CVD prognosis, available data have provided mixed findings, what could be partially because of the adjustment or not for key confounders such as cardiorespiratory fitness, and to the lack of consensus on the MHO definition. In the present review, we propose a scientifically based harmonized definition of MHO, which will hopefully contribute to more comparable data in the future and a better understanding on the MHO subgroup and its CVD prognosis.

Obesity and Cardiovascular Disease

The Epidemiology of Sarcopenia

Which modifiable health risk behaviours are related? A systematic review of the clustering of Smoking, Nutrition, Alcohol and Physical activity (‘SNAP’) health risk factors

Objective: The purposes of this study were to determine the relationship between muscle mass, muscle strength, muscle quality, and fat mass with a composite measure of physical function in older adults, and to determine whether these relations differed by age and sex. Method: Participants consisted of 1280 adults aged ≥ 55 yr from the NHANES study. Reduced rank regression was used to identify patterns of muscle mass, muscle strength, muscle quality, and fat mass related to physical function. Results: A single relevant pattern emerged that included leg strength and fat mass as predictors of the 7 physical function variables. The leg strength loading was significantly greater than the fat mass loading in men and women aged 55-64 and ≥75, and differed between sexes. Conclusion: Leg strength and fat mass best predict physical function in older adults and the relative importance varies according to age and sex.

Association Between Muscle Mass, Leg Strength, and Fat Mass With Physical Function in Older Adults: Influence of Age and Sex

Background
Clustering of unhealthy behaviors has been reported in previous studies; however the link with all-cause mortality and differences between those with and without chronic disease requires further investigation.

https://link.springer.com/content/pdf/10.1007%2Fs11121-011-0255-0.pdf

Clustering of Unhealthy Behaviors in the Aerobics Center Longitudinal Study

We would like to thank Drs Ding, Hu and Pischon for their insights and commentaries on our paper ‘Dietary patterns and the risk of mortality: impact of cardiorespiratory fitness’. 1 In the spirit of a healthy debate, there are a few issues that we would like to address in our response. We would first like to highlight that the purpose of our paper was not to argue against the role of an unhealthy diet as a risk factor for morbidity and mortality. We are in full agreement that a healthy diet is important and that there is an abundance of evidence to support this position. Rather, our goal was to highlight that previous studies examining the relation between dietary patterns and health have not properly controlled for the confounding effects of physical activity, which, without exception, have been measured by self-report. Validation studies have consistently found that self-reported physical activity measures are biased (e.g. most people overestimate their activity) and only modestly associated with objective measures of physical activity. 2–4 The imprecision of these estimates would result in an underestimated effect of physical activity on the morbidity and mortality outcomes, and in studies of unhealthy dietary patterns and poor health, would result in residual confounding for physical activity. Our study attempted to overcome this limitation by including an objective marker of physical activity as a covariate in the analyses. Indeed, the risk estimates for dietary patterns were substantively smaller when cardiorespiratory fitness was the covariate compared with when self-reported physical activity was the covariate. Next, we would like to address the concern regarding the use of cardiorespiratory fitness as a marker of physical activity participation. We appreciate that fitness is not a direct measure of physical activity and that other factors such as genetics, age and sex play a role in determining one’s fitness. However, by using age- and sex-specific cut-points to define the different fitness groups, our analyses accounted for some of the most meaningful non-activity determinants of fitness. Furthermore, several studies have shown that fitness is highly related to physical activity participation in recent months 2,5,6 and that fitness is responsive to changes in physical activity. 7–9 Thus, while we recognize that there is not a perfect relation between physical activity and fitness, it is clear that physical activity is a major driver of fitness. We, therefore, are confident that cardiorespiratory fitness can be used as a proxy and objective measure of physical activity. Both commentaries argued that diet is an important determinant of cardiorespiratory fitness. We do not support this position. Randomized controlled trials have clearly demonstrated that diet-induced weight loss is not associated with improvements in fitness,

Author's Response Dietary patterns and the risk of mortality: impact of cardiorespiratory fitness

Methods This was a prospective cohort study. Participants consisted of 13 621 men and women from the Aerobics Center Longitudinal Study (ACLS). Participants completed a clinical exam and 3-day diet record between 1987 and 1999. Participants were followed for mortality until 2003. Reduced rank regression (RRR) was used to identify dietary patterns that predicted unfavourable total and high-density lipoprotein-cholesterol, triglyceride, glucose, blood pressure, uric acid, white blood cell and body mass index values. Results One primary dietary pattern emerged and was labelled the Unhealthy Eating Index. This pattern was characterized by elevated consumption of processed and red meat, white potato products, nonwhole grains, added fat and reduced consumption of non-citrus fruits. The hazard ratio for all-cause mortality in the fifth vs the first quintile of the Unhealthy Eating Index was 1.40 (1.02–1.91). This risk estimate was reduced by 13.5 and 55.0% after controlling for self-reported physical activity and fitness, respectively. Conclusion In this study the association between diet and overall mortality was, in large part, confounded by fitness.

/pdf/dietary-patterns-and-the-risk-of-mortality-impact-of-1fsda684es.pdf

Dietary patterns and the risk of mortality: impact of cardiorespiratory fitness.

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Association Between Muscle Mass, Leg Strength, and Fat Mass With Physical Function in Older Adults: Influence of Age and Sex

Clustering of Unhealthy Behaviors in the Aerobics Center Longitudinal Study

Author's Response Dietary patterns and the risk of mortality: impact of cardiorespiratory fitness

Dietary patterns and the risk of mortality: impact of cardiorespiratory fitness.