Ruth W Kimokoti

Global Burden of Hypertension and Systolic Blood Pressure of at Least 110 to 115 mm Hg, 1990-2015

Importance Elevated systolic blood (SBP) pressure is a leading global health risk. Quantifying the levels of SBP is important to guide prevention policies and interventions. Objective To estimate the association between SBP of at least 110 to 115 mm Hg and SBP of 140 mm Hg or higher and the burden of different causes of death and disability by age and sex for 195 countries and territories, 1990-2015. Design A comparative risk assessment of health loss related to SBP. Estimated distribution of SBP was based on 844 studies from 154 countries (published 1980-2015) of 8.69 million participants. Spatiotemporal Gaussian process regression was used to generate estimates of mean SBP and adjusted variance for each age, sex, country, and year. Diseases with sufficient evidence for a causal relationship with high SBP (eg, ischemic heart disease, ischemic stroke, and hemorrhagic stroke) were included in the primary analysis. Main Outcomes and Measures Mean SBP level, cause-specific deaths, and health burden related to SBP (≥110-115 mm Hg and also ≥140 mm Hg) by age, sex, country, and year. Results Between 1990-2015, the rate of SBP of at least 110 to 115 mm Hg increased from 73 119 (95% uncertainty interval [UI], 67 949-78 241) to 81 373 (95% UI, 76 814-85 770) per 100 000, and SBP of 140 mm Hg or higher increased from 17 307 (95% UI, 17 117-17 492) to 20 526 (95% UI, 20 283-20 746) per 100 000. The estimated annual death rate per 100 000 associated with SBP of at least 110 to 115 mm Hg increased from 135.6 (95% UI, 122.4-148.1) to 145.2 (95% UI 130.3-159.9) and the rate for SBP of 140 mm Hg or higher increased from 97.9 (95% UI, 87.5-108.1) to 106.3 (95% UI, 94.6-118.1). Loss of disability-adjusted life-years (DALYs) associated with SBP of at least 110 to 115 mm Hg increased from 148 million (95% UI, 134-162 million) to 211 million (95% UI, 193-231 million), and for SBP of 140 mm Hg or higher, the loss increased from 5.2 million (95% UI, 4.6-5.7 million) to 7.8 million (95% UI, 7.0-8.7 million). The largest numbers of SBP-related deaths were caused by ischemic heart disease (4.9 million [95% UI, 4.0-5.7 million]; 54.5%), hemorrhagic stroke (2.0 million [95% UI, 1.6-2.3 million]; 58.3%), and ischemic stroke (1.5 million [95% UI, 1.2-1.8 million]; 50.0%). In 2015, China, India, Russia, Indonesia, and the United States accounted for more than half of the global DALYs related to SBP of at least 110 to 115 mm Hg. Conclusions and Relevance In international surveys, although there is uncertainty in some estimates, the rate of elevated SBP (≥110-115 and ≥140 mm Hg) increased substantially between 1990 and 2015, and DALYs and deaths associated with elevated SBP also increased. Projections based on this sample suggest that in 2015, an estimated 3.5 billion adults had SBP of at least 110 to 115 mm Hg and 874 million adults had SBP of 140 mm Hg or higher.

Diet quality and obesity in women: the Framingham Nutrition Studies.

Obesity affects one in three American adult women and is associated with overall mortality and major morbidities. A composite diet index to evaluate total diet quality may better assess the complex relationship between diet and obesity, providing insights for nutrition interventions. The purpose of the present investigation was to determine whether diet quality, defined according to the previously validated Framingham nutritional risk score (FNRS), was associated with the development of overweight or obesity in women. Over 16 years, we followed 590 normal-weight women (BMI < 25 kg/m2), aged 25 to 71 years, of the Framingham Offspring and Spouse Study who presented without CVD, cancer or diabetes at baseline. The nineteen-nutrient FNRS derived from mean ranks of nutrient intakes from 3 d dietary records was used to assess nutritional risk. The outcome was development of overweight or obesity (BMI > or = 25 kg/m2) during follow-up. In a stepwise multiple logistic regression model adjusted for age, physical activity and smoking status, the FNRS was directly related to overweight or obesity (P for trend = 0.009). Women with lower diet quality (i.e. higher nutritional risk scores) were significantly more likely to become overweight or obese (OR 1.76; 95 % CI 1.16, 2.69) compared with those with higher diet quality. Diet quality, assessed using a comprehensive composite nutritional risk score, predicted development of overweight or obesity. This finding suggests that overall diet quality be considered a key component in planning and implementing programmes for obesity risk reduction and treatment recommendations.

Nutritional risk and the metabolic syndrome in women: opportunities for preventive intervention from the Framingham Nutrition Study

BACKGROUND Diet is recognized as a key factor in the cause and management of the metabolic syndrome (MetS). However, policies to guide preventive clinical nutrition interventions of the condition are limited. OBJECTIVES We examined the relation between dietary quality and incident MetS in adult women and identified foci for preventive nutrition interventions. DESIGN This was a prospective study of 300 healthy women (aged 30-69 y) in the Framingham Offspring-Spouse study who were free of MetS risk factors at baseline. The development of individual MetS traits and overall MetS status during 12 y of follow-up were compared in women by tertile of nutritional risk, based on intake of 19 nutrients. Multivariate logistic regression models considered age, smoking, physical activity, and menopausal status. RESULTS Baseline age-adjusted mean nutrient intake and ischemic heart disease risk profiles differed by tertile of nutritional risk. Women with higher nutritional risk profiles consumed more dietary lipids (total, saturated, and monounsaturated fats) and alcohol and less fiber and micronutrients; they had higher cigarette use and waist circumferences. Compared with women with the lowest nutritional risk, those in the highest tertile had a 2- to 3-fold risk of the development of abdominal obesity and overall MetS during 12 y of follow-up [odds ratio: 2.3 (95% CI: 1.2, 4.3) and 3.0 (95% CI: 1.2, 7.6), respectively]. CONCLUSIONS Higher composite nutritional risk predicts the development of abdominal obesity and MetS during long-term follow-up in healthy women, independent of lifestyle and ischemic heart disease risk factors. Preventive nutrition interventions for obesity and MetS risk reduction should focus on the overall nutritional quality of womens dietary profiles.

Diet Quality, Physical Activity, Smoking Status, and Weight Fluctuation Are Associated with Weight Change in Women and Men

The effect of diet quality on weight change, relative to other body weight determinants, is insufficiently understood. Furthermore, research on long-term weight change in U.S. adults is limited. We evaluated prospectively patterns and predictors of weight change in Framingham Offspring/Spouse (FOS) women and men (n = 1515) aged > or =30 y with BMI > or = 18.5 kg/m2 and without cardiovascular disease, diabetes, and cancer at baseline over a 16-y period. Diet quality was assessed using the validated Framingham Nutritional Risk Score. In women, older age (P < 0.0001) and physical activity (P < 0.05) were associated with lower weight gain. Diet quality interacted with former smoking status (P-interaction = 0.02); former smokers with lower diet quality gained an additional 5.2 kg compared with those with higher diet quality (multivariable-adjusted P-trend = 0.06). Among men, older age (P < 0.0001) and current smoking (P < 0.01) were associated with lower weight gain, and weight fluctuation (P < 0.01) and former smoking status (P < 0.0001) were associated with greater weight gain. Age was the strongest predictor of weight change in both women (partial R(2) = 11%) and men (partial R(2) = 8.6%). Normal- and overweight women gained more than obese women (P < 0.05) and younger adults gained more weight than older adults (P < 0.0001). Patterns and predictors of weight change differ by sex. Age in both sexes and physical activity among women as well as weight fluctuation and smoking status in men were stronger predictors of weight change than diet quality among FOS adults. Women who stopped smoking over follow-up and had poor diet quality gained the most weight. Preventive interventions need to be sex-specific and consider lifestyle factors.

Nutrition, health, and aging in sub‐Saharan Africa

The proportion of the population that is > or = 60 years of age in sub-Saharan Africa (SSA) is increasing rapidly and is likely to constrain healthcare systems in the future. Nevertheless, the elderly are not a health policy priority for African countries. This paper reviews the nutritional and health status of older adults in SSA and their determinants. Literature was abstracted through the Medline, Google Scholar, and Dogpile databases using the following search terms: sub-Saharan Africa, older adults, nutrition, health. Findings showed that up to half (6-48%) of elderly Africans in SSA are underweight and almost a quarter (2.5-21%) are overweight, while 56% of older South Africans are obese. Low-quality diets contribute to poor nutritional status. Poverty, HIV/AIDS, and complex humanitarian emergencies are major determinants of undernutrition. Effective interventions need to consider socioeconomic, health, and demographic factors; social pensions may be the most cost-effective option for improving the health and nutritional status of the elderly in SSA.

Diet, the Global Obesity Epidemic, and Prevention

In 2008, 34% of adults (1.46 billion) globally were overweight and obese (body mass index [BMI] 25); of these, an equal proportion (502 million) were obese. This translates to a twofold increase over the last 30 years. Whereas the increase in mean BMI in high-income countries was highest in the United States, Nauru in the Oceania reported the greatest gain in BMI globally (1). China is expected to have the largest number of overweight and obese individuals in 2030 (2). Overweight and obesity are major risk factors for cardiovascular disease (CVD), type 2 diabetes mellitus, and certain forms of cancer (3,4), and account for approximately 10% of direct medical costs of countries globally (5). Furthermore, abdominal obesity and insulin resistance are the main underlying factors of the metabolic syndrome, a multiplex of cardiometabolic risk factors, generally considered to include abdominal obesity, elevated blood pressure, impaired fasting glucose, low highdensity lipoprotein (HDL) cholesterol, and elevated triglycerides (6-8). Metabolic syndrome is associated with a twofold risk for CVD and a fivefold risk for type 2 diabetes mellitus (6,9,10), and currently affects 20% to 30% of the global adult population (11). In Seychelles, a middleincome country with comprehensive data on CVD risk factors, the prevalence of metabolic syndrome increased by 16% over a 15-year period, from 20% in 1989 to 36% in 2004 (12), whereas South Korea, a high-income country, experienced an increase of 6% over 7 years from 1998 to 2005 (13,14). Medical costs for metabolic syndrome increase by approximately 24% for each additional metabolic syndrome trait present (15). The obesity epidemic and corresponding increase in metabolic syndrome prevalence are in part attributable to a global nutrition transition, with a shift from traditional plant-based foods to consumption of a more energy-

Patterns of weight change and progression to overweight and obesity differ in men and women: implications for research and interventions.

OBJECTIVE To evaluate long-term patterns of weight change and progression to overweight and obesity during adulthood. DESIGN Prospective study. Changes in mean BMI, waist circumference (WC) and weight were assessed over a mean 26-year follow-up (1971–1975 to 1998–2001). Mean BMI (95% CI) and mean WC (95% CI) of men and women in BMI and age groups were computed. Mean weight change in BMI and age categories was compared using analysis of covariance. SETTING Framingham Heart Study Offspring/Spouse Nutrition Study. SUBJECTS Men and women (n 2394) aged 20–63 years. RESULTS During follow-up, increases in BMI (men: 2?2 kg/m2; women: 3?7 kg/m2) and WC (men: 5?7 cm; women: 15?1 cm) were larger in women than men. BMI gains were greatest in younger adults (20–39 years) and smallest in obese older adults (50–69 years). The prevalence of obesity doubled in men (to 33?2%) and tripled in women (to 26?6 %). Among normal-weight individuals, abdominal obesity developed in women only. The prevalence of abdominal obesity increased 1?8-fold in men (to 53?0%) and 2?4-fold in women (to 71?2 %). Weight gain was greatest in the youngest adults (20–29 years), particularly women. Gains continued into the fifth decade among men and then declined in the sixth decade; in women gains continued into the sixth decade. CONCLUSIONS Patterns of weight change and progression to obesity during adulthood differ in men and women. Preventive intervention strategies for overweight and obesity need to consider age- and sex-specific patterns of changes in anthropometric measures.

Dietary Patterns of Women Are Associated with Incident Abdominal Obesity but Not Metabolic Syndrome

Data on the relationship between empirical dietary patterns and metabolic syndrome (MetS) and its components in prospective study designs are limited. In addition, demographic and lifestyle determinants of MetS may modify the association between dietary patterns and the syndrome. We prospectively examined the relationship between empirically derived patterns and MetS and MetS components among 1146 women in the Framingham Offspring/Spouse cohort. They were aged 25-77 y with BMI ≥18.5 kg/m(2) and free of cardiovascular disease, diabetes, cancer, and MetS at baseline, and followed for a mean of 7 y. Five dietary patterns, Heart Healthier, Lighter Eating, Wine and Moderate Eating, Higher Fat, and Empty Calorie, were previously identified using cluster analysis from food intake collected using a FFQ. After adjusting for potential confounders, we observed lower odds for abdominal obesity for Higher Fat [OR = 0.48 (95% CI: 0.25, 0.91)] and Wine and Moderate Eating clusters [OR = 0.28 (95% CI: 0.11, 0.72)] compared with the Empty Calorie cluster. Additional adjustment for BMI somewhat attenuated these OR [Higher Fat OR = 0.52 (95% CI: 0.27, 1.00); Wine and Moderate Eating OR = 0.34 (95% CI: 0.13, 0.89)]. None of the clusters was associated with MetS or other MetS components. Baseline smoking status and age did not modify the relation between dietary patterns and MetS. The Higher Fat and Wine and Moderate Eating patterns showed an inverse association with abdominal obesity; certain foods might be targeted in these habitual patterns to achieve optimal dietary patterns for MetS prevention.

Methodology for Adding Glycemic Index to the National Health and Nutrition Examination Survey Nutrient Database

Generating valid estimates of dietary glycemic index (GI) and glycemic load (GL) has been a challenge in nutritional epidemiology. The methodologic issues may have contributed to the wide variation of GI/GL associations with health outcomes observed in existing literature. We describe a standardized methodology for assigning GI values to items in the National Health and Nutrition Examination Survey (NHANES) nutrient database using the new International Tables to develop research-driven, systematic procedures and strategies to estimate dietary GI/GL exposures of a nationally representative population sample. Nutrient databases for NHANES 2003-2006 contain information on 3,155 unique foods derived from the US Department of Agriculture National Nutrient Database for Standard Reference versions 18 and 20. Assignment of GI values were made to a subset of 2,078 carbohydrate-containing foods using systematic food item matching procedures applied to 2008 international GI tables and online data sources. Matching protocols indicated that 45.4% of foods had identical matches with existing data sources, 31.9% had similar matches, 2.5% derived GI values calculated with the formula for combination foods, 13.6% were assigned a default GI value based on low carbohydrate content, and 6.7% of GI values were based on data extrapolation. Most GI values were derived from international sources; 36.1% were from North American product information. To confirm data assignments, dietary GI and GL intakes of the NHANES 2003-2006 adult participants were estimated from two 24-hour recalls and compared with published studies. Among the 3,689 men and 4,112 women studied, mean dietary GI was 56.2 (men 56.9, women 55.5), mean dietary GL was 138.1 (men 162.1, women 116.4); the distribution of dietary GI was approximately normal. Estimates of population GI and GL compare favorably with other published literature. This methodology of adding GI values to an existing population nutrient database utilized systematic matching protocols and the latest comprehensive data sources on food composition. The database can be applied in clinical and survey research settings where there is interest in estimating individual and population dietary exposures and relating them to health outcomes.

Food Intake Does Not Differ between Obese Women Who Are Metabolically Healthy or Abnormal

BACKGROUND Metabolically healthy obesity may confer lower risk of adverse health outcomes compared with abnormal obesity. Diet and race are postulated to influence the phenotype, but their roles and their interrelations on healthy obesity are unclear. OBJECTIVE We evaluated food intakes of metabolically healthy obese women in comparison to intakes of their metabolically healthy normal-weight and metabolically abnormal obese counterparts. METHODS This was a cross-sectional study in 6964 women of the REasons for Geographic And Racial Differences in Stroke (REGARDS) study. Participants were aged 45-98 y with a body mass index (BMI; kg/m(2)) ≥18.5 and free of cardiovascular diseases, diabetes, and cancer. Food intake was collected by using a food-frequency questionnaire. BMI phenotypes were defined by using metabolic syndrome (MetS) and homeostasis model assessment of insulin resistance (HOMA-IR) criteria. Mean differences in food intakes among BMI phenotypes were compared by using ANCOVA. RESULTS Approximately one-half of obese women (white: 45%; black: 55%) as defined by MetS criteria and approximately one-quarter of obese women (white: 28%; black: 24%) defined on the basis of HOMA-IR values were metabolically healthy. In age-adjusted analyses, healthy obesity and normal weight as defined by both criteria were associated with lower intakes of sugar-sweetened beverages compared with abnormal obesity among both white and black women (P < 0.05). HOMA-IR-defined healthy obesity and normal weight were also associated with higher fruit and low-fat dairy intakes compared with abnormal obesity in white women (P < 0.05). Results were attenuated and became nonsignificant in multivariable-adjusted models that additionally adjusted for BMI, marital status, residential region, education, annual income, alcohol intake, multivitamin use, cigarette smoking status, physical activity, television viewing, high-sensitivity C-reactive protein, menopausal status, hormone therapy, and food intakes. CONCLUSIONS Healthy obesity was not associated with a healthier diet. Prospective studies on relations of dietary patterns, which may be a better indicator of usual diet, with the phenotype would be beneficial.