Risk Factors for Ebola Virus Persistence in Semen of Survivors in Liberia.

BACKGROUND: Long-term persistence of Ebola virus (EBOV) in immunologically privileged sites has been implicated in recent outbreaks of Ebola virus disease (EVD) in Guinea and the Democratic Republic of Congo. This study was designed to understand how the acute course of EVD, convalescence, and host immune and genetic factors may play a role in prolonged viral persistence in semen. METHODS: A cohort of 131 male EVD survivors in Liberia were enrolled in a case-case study. "Early clearers" were defined as those with 2 consecutive negative EBOV semen test results by real-time reverse-transcription polymerase chain reaction (rRT-PCR) ≥2 weeks apart within 1 year after discharge from the Ebola treatment unit or acute EVD. "Late clearers" had detectable EBOV RNA by rRT-PCR >1 year after discharge from the Ebola treatment unit or acute EVD. Retrospective histories of their EVD clinical course were collected by questionnaire, followed by complete physical examinations and blood work. RESULTS: Compared with early clearers, late clearers were older (median, 42.5 years; P < .001) and experienced fewer severe clinical symptoms (median 2, P = .006). Late clearers had more lens opacifications (odds ratio, 3.9 [95% confidence interval, 1.1-13.3]; P = .03), after accounting for age, higher total serum immunoglobulin G3 (IgG3) titers (P = .005), and increased expression of the HLA-C*03:04 allele (0.14 [.02-.70]; P = .007). CONCLUSIONS: Older age, decreased illness severity, elevated total serum IgG3 and HLA-C*03:04 allele expression may be risk factors for the persistence of EBOV in the semen of EVD survivors. EBOV persistence in semen may also be associated with its persistence in other immunologically protected sites, such as the eye.

A paradigm shift for socioeconomic justice and health: from focusing on inequalities to aiming at sustainable equity.

OBJECTIVES: To measure the 'best possible health for all', incorporating sustainability, and to establish the magnitude of global health inequity. STUDY DESIGN: Observational, retrospective. METHODS: We identified countries with three criteria: (1) a healthy population-life expectancy above world average; (2) living conditions feasible to replicate worldwide-per-capita gross domestic product (GDP-pc) below the world average; and (3) sustainability-per-capita carbon dioxide emissions lower than the planetary pollution boundary. Using these healthy, feasible, and sustainable (HFS) countries as the gold standard, we estimated the burden of global health inequity (BGHiE) in terms of excess deaths, analyzing time-trends (1950-2012) by age, sex, and geographic location. Finally, we defined a global income 'equity zone' and quantified the economic gap needed to achieve global sustainable health equity. RESULTS: A total of 14 countries worldwide met the HFS criteria. Since 1970, there has been a BGHiE of ∼17 million avoidable deaths per year (∼40% of all deaths), with 36 life-years-lost per excess death. Young children and women bore a higher BGHiE, and, in recent years, the highest proportion of avoidable deaths occurred in Africa, India, and the Russian Federation. By 2012, the most efficient HFS countries had a GDP-pc/year of USD$2,165, which we proposed as the lower equity zone threshold. The estimated USD$2.58 trillion economic gap represents 3.6% of the world's GDP-twenty times larger than current total global foreign aid. CONCLUSIONS: Sustainable health equity metrics provide a benchmark tool to guide efforts toward transforming overall living conditions, as a means to achieve the 'best possible health for all.'

Association between Depression and C-Reactive Protein.

Objective. Depression has been associated with increased cardiovascular disease risk, and a depression-related elevation of high sensitivity C-reactive protein (hs-CRP) has been proposed as a possible mechanism. The objective of this paper is to examine association between depression and high sensitivity C-reactive protein (hs-CRP). Methods. Subjects consisted of 508 healthy adults (mean age 48.5 years; 49% women, 88% white) residing in central Massachusetts. Data were collected at baseline and at quarterly intervals over a one-year period per individual. Multivariable linear mixed models were used to assess the association for the entire sample and by gender. Results. The mean Beck Depression Inventory score was 5.8 (standard deviation (SD) 5.4; median 4.3), and average serum hs-CRP was 1.8 mg/L (SD 1.7; median 1.2). Results from the multivariable linear mixed models show that individuals with higher depression scores have higher levels of hs-CRP. Analyses by gender show persistence of an independent association among women, but not among men. Body mass index (BMI = weight(kg)/height(m)(2)) appears to be a partial mediator of this relationship. Conclusion. Depression score was correlated to hs-CRP levels in women. Further studies are required to elucidate the biological mechanisms underlying these associations and their implications.

Could dietary seaweed reverse the metabolic syndrome?

Incidence of the metabolic syndrome is increasing worldwide, with notable exceptions of some Asian countries where seaweeds are commonly consumed. 13 men (mean age 47.4+/-9.9 yr) and 14 women (average age 45.6+/-12.2 yr) with at least one symptom of the metabolic syndrome were recruited in Quito Ecuador to a randomized double-blinded placebo-controlled trial. Subjects were assigned to either Group 1 (1 m placebo, followed by 1 m 4 g/d seaweed [Undaria pinnatifida]) or Group 2 (1 m of 4 g/d seaweed, followed by 1 m of 6 g/d of seaweed). Blood pressure, weight, waist circumference, inflammation biomarkers, and lipids were measured monthly. Repeated measures analysis of variance with Tukey's multiple comparison tests were used for statistical analysis. In Group 2, systolic blood pressure decreased 10.5 mmHg after a month of 6 g/d seaweed (95% CI: 4.1, 16.8 mmHg; p<0.05), primarily in subjects with high-normal baseline blood pressure. Waist circumference changed only for women participants, with a 2.4 cm decrease in Group 1 after treatment with placebo (95% CI: 1.0, 3.7 cm; p<0.01). In Group 2, women had a mean decrease of 2.1 cm after 4 g/d (95% CI: 0.4, 3.7 cm; p<0.05) and a further 1.8 cm decrease after 1 m 6 g/d seaweed (95 % CI: 0.1, 3.4, p<0.05). No other changes were observed. Consumption of 4 to 6 g/d seaweed, typical for most people in Japan, may be associated with low metabolic syndrome prevalence.

Seasonal and sex variation of high-sensitivity C-reactive protein in healthy adults: a longitudinal study.

BACKGROUND: Cross-sectional studies have reported seasonal variation in high-sensitivity C-reactive protein (hsCRP). However, longitudinal data are lacking. METHODS: We collected data on diet, physical activity, psychosocial factors, physiology, and anthropometric measurements from 534 healthy adults (mean age 48 years, 48.5% women, 87% white) at quarterly intervals over a 1-year period between 1994 and 1998. Using sinusoidal regression models, we estimated peak-to-trough amplitude and phase of the peaks. RESULTS: At baseline, average hsCRP was 1.72 mg/L (men, 1.75 mg/L; women, 1.68 mg/L). Overall seasonal variation amplitude was 0.16 mg/L (95% CI 0.02 to 0.30) and was lower in men (0.10 mg/L, 95% CI -0.11 to 0.31) than in women (0.23 mg/L, 95% CI 0.04 to 0.42). In both sexes, hsCRP peaked in November, with a corresponding trough in May. Relative plasma volume, waist and hip circumference, diastolic blood pressure, and depression scores were major factors associated with changes in amplitude of seasonal variation of hsCRP, and taken together explain most of the observed seasonal change. There was a 20% increase in the percentage of participants classified in the high-risk category for hsCRP (> or =3 mg/L) during late fall and early winter compared with late spring and early summer. CONCLUSIONS: Concentrations of hsCRP were modestly increased in fall and winter compared to summer, with greater seasonal amplitude of variation observed in women. Conventional classification methods fail to consider seasonality in hsCRP and may result in substantial misclassifications in the spring and fall. Future clinical practice and research should take these variations into account.

Association between dietary glycemic index, glycemic load, and high-sensitivity C-reactive protein.

OBJECTIVE: This study examined the relation between quality of dietary carbohydrate intake, as measured by glycemic index (GI) and glycemic load (GL), and serum high-sensitivity C-reactive protein (hs-CRP) levels. METHODS: During a 1-y observational study, data were collected at baseline and at each quarter thereafter. GI and GL were calculated from multiple 24-h dietary recalls (24HRs), 3 randomly selected 24HRs at every quarter, with up to 15 24HRs per participant. The hs-CRP was measured in blood samples collected at baseline and each of the four quarterly measurement points. Multivariable linear mixed models were used to examine the cross-sectional and longitudinal associations of GI, GL, and hs-CRP. RESULTS: Among 582 adult men and women with at least two measurements of diet and hs-CRP, average daily GI score (white bread = 100) was 85 and average GL was 198, and average hs-CRP was 1.84 mg/L. Overall, there was no association between GI or GL and hs-CRP. Subgroup analyses revealed an inverse association between GL and hs-CRP among obese individuals (body mass index > or =30 kg/m(2)). CONCLUSION: Quality of dietary carbohydrates does not appear to be associated with serum hs-CRP levels. Among obese individuals, higher dietary GL appears to be related to lower hs-CRP levels. Due to the limited number of studies on this topic and their conflicting results, further investigation is warranted.

Dietary quality 1 year after diagnosis of coronary heart disease.

OBJECTIVE: The purpose of this ancillary study is to determine the quality of diets in patients with documented coronary heart disease (CHD). DESIGN: Dietary data were originally collected using a 24-hour dietary recall in 555 patients with CHD, 1 year after a diagnostic coronary angiography. Data used for this investigation were collected between March 2001 and November 2003. SUBJECTS/SETTING: Patients were participants in a clinical trial to improve adherence to lipid-lowering medications. The Alternate Healthy Eating Index, an instrument designed to evaluate the degree to which a diet has the potential to prevent cardiovascular disease, measured dietary quality. MAIN OUTCOME MEASURES: Linear regression models were used to assess the association of dietary quality with patients' sociodemographic and clinical characteristics. RESULTS: Mean age of participants was 61 years, with an average body mass index of 30 (calculated as kg/m(2)). Sixty percent were men. Average daily caloric intake was 1,775 kcal, with 50% of calories derived from carbohydrates, 18% from protein, and 32% from total fat. Average Alternate Healthy Eating Index score was 30.8 out of a possible maximum score of 80. Only 12.4% of subjects met the recommended consumption of vegetables, 7.8% for fruit, 8% for cereal fiber, and 5.2% for trans-fat intake. Lower dietary quality was associated with lower total caloric intake, as well as with smoking, obesity, and lower educational level. CONCLUSIONS: A high proportion of patients reported poor dietary quality 1 year after experiencing a coronary event. Our data support continued efforts to enhance healthful dietary changes over time for secondary prevention of CHD. Dietary change should be emphasized with CHD patients who are less educated, smokers, or obese.

Gender differences in predictors of body weight and body weight change in healthy adults.

BACKGROUND: Overweight and obesity are important predictors of a wide variety of health problems. Analysis of naturally occurring changes in body weight can provide valuable insights in improving our understanding of the influence of demographic, lifestyle, and psychosocial factors on weight gain in middle-age adults. OBJECTIVE: To identify gender-specific predictors of body weight using cross-sectional and longitudinal analyses. METHODS AND PROCEDURES: Anthropometric, lifestyle and psychosocial factors were measured at baseline and then quarterly for 1 year in 572 healthy adult volunteers from Central Massachusetts who were recruited between 1994 and 1998. Linear mixed models were used to analyze the relationship between body weight and potential predictors, including demographic (e.g., age, educational level), lifestyle (e.g., diet, physical activity, smoking), and psychosocial (e.g., anxiety, depression) factors. RESULTS: Over the 1-year study period, on average, men gained 0.3 kg and women lost 0.2 kg. Predictors of lower body weight at baseline in both men and women included current cigarette smoking, greater leisure-time physical activity, and lower depression and anxiety scores. Lower body weights were associated with a lower percentage of caloric intake from protein and greater occupational physical activity levels only among men; and with higher education level only among women. Longitudinal predictors of 1-year weight gain among women included increased total caloric intake and decreased leisure-time physical activity, and among men, greater anxiety scores. DISCUSSION: Demographic, lifestyle and psychosocial factors are independently related to naturally occurring changes in body weight and have marked differential gender effects. These effects should be taken into consideration when designing interventions for weight-loss and maintenance at the individual and population levels.

A randomized clinical trial comparing low-glycemic index versus ADA dietary education among individuals with type 2 diabetes.

OBJECTIVE: We compared the effects of a low glycemic index (GI) diet with the American Diabetes Association (ADA) diet on glycosylated hemoglobin (HbA1c) among individuals with type 2 diabetes. METHODS: Forty individuals with poorly controlled type 2 diabetes were randomized to a low-GI or an ADA diet. The intervention, consisting of eight educational sessions (monthly for the first 6 mo and then at months 8 and 10), focused on a low-GI or an ADA diet. Data on demographics, diet, physical activity, psychosocial factors, and diabetes medication use were assessed at baseline and 6 and 12 mo. Generalized linear mixed models were used to compare the two groups on HbA1c, diabetic medication use, blood lipids, weight, diet, and physical activity. RESULTS: Participants (53% female, mean age 53.5 y) were predominantly white with a mean body mass index of 35.8 kg/m(2). Although both interventions achieved similar reductions in mean HbA1c at 6 mo and 12 mo, the low-GI diet group was less likely to add or increase dosage of diabetic medications (odds ratio 0.26, P = 0.01). Improvements in high-density lipoprotein cholesterol, triacylglycerols, and weight loss were similar between groups. CONCLUSION: Compared with the ADA diet, the low-GI diet achieved equivalent control of HbA1c using less diabetic medication. Despite its limited size, this trial suggests that a low-GI diet is a viable alternative to the ADA diet. Findings should be evaluated in a larger randomized controlled trial.

Low-carbohydrate and high-fat intake among adult patients with poorly controlled type 2 diabetes mellitus.

OBJECTIVE: This study examined baseline dietary intake, body weight, and physiologic status in patients enrolled in a dietary intervention for type 2 diabetes mellitus (T2DM). METHODS: Dietary, physiologic, and demographic information were collected at baseline from 40 adult patients with poorly controlled T2DM (glycosylated hemoglobin >7%) who participated in a clinical trial at an academic medical center in Worcester, Massachusetts, USA. RESULTS: The average age at enrollment was 53.5 y (SD 8.4), average body mass index was 35.48 kg/m(2) (SD 7.0), and glycosylated hemoglobin was 8.3% (SD 1.2). Participants were predominantly white, married, and employed full time. Forty-eight percent were men. Seventy-eight percent had hyperlipidemia, and 68% had hypertension. Reported baseline daily average energy intake was 1778 kcal (SD 814), daily carbohydrate was 159 g (SD 71.5), and dietary fiber was 11.4 g (SD 5.2). The dietary composition was 35% carbohydrate, 45% fat (15% saturated fat), and 20% protein. The American Diabetes Association (ADA) guidelines recommends 45-65% of energy from carbohydrate, 20-35% from fat (<7% saturated), and 20% from protein. CONCLUSION: These patients reported a low-carbohydrate, low-fiber, high-fat (especially saturated) diet, although they stated they are not following any of the popular low-carbohydrate diets. Patients with T2DM may find the current trend toward reducing weight through low-carbohydrate diets attractive for control of blood glucose, despite ADA recommendations. This dietary pattern may represent a popular trend that extends beyond our particular study and, if so, has serious cardiovascular implications in this vulnerable population of T2DM patients.

Association between carbohydrate intake and serum lipids.

BACKGROUND: The effect of dietary carbohydrate on blood lipids has received considerable attention in light of the current trend in lowering carbohydrate intake for weight loss. OBJECTIVES: To evaluate the association between carbohydrate intake and serum lipids. METHODS: Blood samples and 24-hour dietary and physical activity recall interviews were obtained from each subject at quarterly intervals for five consecutive quarters between 1994 and 1998 from 574 healthy adults in Central Massachusetts. Relationships between serum lipids and dietary carbohydrate factors were assessed using linear mixed models and adjusting for other risk factors known to be related to blood lipids. Both cross-sectional and longitudinal results were reported. RESULTS: Cross-sectional analysis results from this study suggest that higher total carbohydrate intake, percentage of calories from carbohydrate, glycemic index (GI) and/or glycemic load (GL) are related to lower high-density lipoprotein cholesterol (HDL-C) and higher serum triacylglycerol levels, while higher total carbohydrate intake and/or GL are related to lower total and low-density lipoprotein cholesterol (LDL-C) levels. In a one-year longitudinal analysis, GL was positively associated with total and LDL-C levels, and there was an inverse association between percentage of calories from carbohydrate and HDL-C levels. CONCLUSIONS: Results suggest that there is a complex and predominantly unfavorable effect of increased intake of highly processed carbohydrate on lipid profile, which may have implications for metabolic syndrome, diabetes, and coronary heart disease. Further studies in the form of randomized controlled trials are required to investigate these associations and determine the implications for lipid management.

Seasonal variation in serum cholesterol levels: treatment implications and possible mechanisms.

BACKGROUND: A variety of studies have noted seasonal variation in blood lipid levels. Although the mechanism for this phenomenon is not clear, such variation could result in larger numbers of people being diagnosed as having hypercholesterolemia during the winter. METHODS: We conducted a longitudinal study of seasonal variation in lipid levels in 517 healthy volunteers from a health maintenance organization serving central Massachusetts. Data collected during a 12-month period for each individual included baseline demographics and quarterly anthropometric, blood lipid, dietary, physical activity, light exposure, and behavioral information. Data were analyzed using sinusoidal regression modeling techniques. RESULTS: The average total cholesterol level was 222 mg/dL (5.75 mmol/L) in men and 213 mg/dL (5.52 mmol/L) in women. Amplitude of seasonal variation was 3.9 mg/dL (0.10 mmol/L) in men, with a peak in December, and 5.4 mg/dL (0.14 mmol/L) in women, with a peak in January. Seasonal amplitude was greater in hypercholesterolemic participants. Seasonal changes in plasma volume explained a substantial proportion of the observed variation. Overall, 22% more participants had total cholesterol levels of 240 mg/dL or greater (> or =6.22 mmol/L) in the winter than in the summer. CONCLUSIONS: This study confirms seasonal variation in blood lipid levels and suggests greater amplitude in seasonal variability in women and hypercholesterolemic individuals, with changes in plasma volume accounting for much of the variation. A relative plasma hypervolemia during the summer seems to be linked to increases in temperature and/or physical activity. These findings have implications for lipid screening guidelines. Further research is needed to better understand the effects of a relative winter hemoconcentration.

Barriers to preventive interventions for coronary heart disease.

Many barriers exist to the delivery of preventive services by cardiologists and other physicians. Appropriate training and the development of supportive infrastructures can effectively overcome these barriers. In addition, institutional priorities must change to encourage such efforts. Cardiologists must continue to recognize the importance of risk-factor modification, and training programs in cardiology should teach appropriate counseling techniques, the use of risk-factor-lowering pharmacologic agents, and the manner in which cardiologists should interface with dietitians and other ancillary personnel [77]. In addition, it is important to recognize and teach, both didactically and by example, that counseling patients and carrying out long-term preventive interventions can be as gratifying and interesting as performing dramatic procedures that, although valuable and rewarding, take place at a very late point in the patient's clinical course, a point that might have been averted by greater attention to risk-factor modification. Increasingly, the public and governmental agencies are becoming involved in encouraging such an approach [66], and health care provider groups [78] and organizations [67] are also facilitating the development of a more comprehensive approach to the delivery of preventive intervention [79].