Dietary patterns and changes in body mass index and waist circumference in adults

Association between temporomandibular disorders and obesity

Psychological stress can induce altered eating patterns, and studies have indicated that there is a correlation between temporomandibular disorder (TMD) and psychological stress. This study investigated the relationship between TMD and body mass index (BMI) in a large representative sample of the South Korean population using data from the Korea National Health and Nutrition Examination Survey (KNHANES). Men and women with TMD showed decreased prevalence of abdominal obesity. Women with TMD had lower age, lower BMI, lower metabolic syndromic waist circumference, lower prevalence of metabolic syndrome, and lower prevalence of diabetes compared with the group without TMD. However, males with TMD didn't show any statistically significant difference between BMI, and metabolic syndromic waist circumference compared with the group without TMD, although there were similar tendencies in the female subject groups. Overall, TMD was associated with decreased BMI and abdominal obesity in women.

Food patterns measured by principal component analysis and obesity in the Nepalese adult

OBJECTIVE

About one-fourth of Nepalese adults are overweight or obese but no studies have examined their risk factors, especially pertaining to diet. The present study aimed to identify dietary patterns in a suburban Nepalese community and assess their associations with overweight and obesity prevalence.

METHODS

This cross-sectional study used data from 1073 adults (18 years or older) participating in the baseline survey of the Dhulikhel Heart Study. We derived major dietary patterns from a principal component analysis of reported intake from a Food Frequency Questionnaire. Overweight was defined as Body Mass Index (BMI) of 25 kg/m(2) or higher and obesity was defined as BMI of 30 kg/m(2) or higher. Statistical analysis was conducted using generalised estimating equations with multivariate logistic regression (with household as cluster) adjusting for age, sex, ethnicity, religion, marital status, income, education, alcohol consumption, smoking, physical activity and systolic blood pressure.

RESULTS

Four dietary patterns were derived: mixed, fast food, refined grain-meat-alcohol and solid fats-dairy. The refined grain-rice-alcohol pattern was significantly associated with overweight (adjusted OR 1.19, 95% CI 1.03 to 1.39; p=0.02) after adjusting for demographic and traditional cardiovascular risk factors. In adults of 40 years or older, the fast food pattern was associated with obesity controlling for demographic and traditional risk factors (adjusted OR 1.69, 95% CI 1.19 to 2.39; p value=0.003).

CONCLUSIONS

Our results suggest that refined grains-meat-alcohol intake is associated with higher prevalence of overweight, and fast food intake is associated with higher prevalence of obesity in older adults (40 years or above) in suburban Nepalese adults.

Analysis of Dietary Pattern Impact on Weight Status for Personalised Nutrition through On-Line Advice: The Food4Me Spanish Cohort

Obesity prevalence is increasing. The management of this condition requires a detailed analysis of the global risk factors in order to develop personalised advice. This study is aimed to identify current dietary patterns and habits in Spanish population interested in personalised nutrition and investigate associations with weight status. Self-reported dietary and anthropometrical data from the Spanish participants in the Food4Me study, were used in a multidimensional exploratory analysis to define specific dietary profiles. Two opposing factors were obtained according to food groups’ intake: Factor 1 characterised by a more frequent consumption of traditionally considered unhealthy foods; and Factor 2, where the consumption of “Mediterranean diet” foods was prevalent. Factor 1 showed a direct relationship with BMI (β = 0.226; r² = 0.259; p < 0.001), while the association with Factor 2 was inverse (β = −0.037; r² = 0.230; p = 0.348). A total of four categories were defined (Prudent, Healthy, Western, and Compensatory) through classification of the sample in higher or lower adherence to each factor and combining the possibilities. Western and Compensatory dietary patterns, which were characterized by high-density foods consumption, showed positive associations with overweight prevalence. Further analysis showed that prevention of overweight must focus on limiting the intake of known deleterious foods rather than exclusively enhance healthy products.

Association between Dietary Patterns and the Indicators of Obesity among Chinese: A Cross-Sectional Study

No previous study has investigated dietary pattern in association with obesity risk in a middle-aged Chinese population. The purpose of this study was to evaluate the associations between dietary patterns and the risk of obesity in the city of Hangzhou, the capital of Zhejiang Province, east China. In this cross-sectional study of 2560 subjects aged 45–60 years, dietary intakes were evaluated using a semi-quantitative food frequency questionnaire (FFQ). All anthropometric measurements were obtained using standardized procedures. The partial correlation analysis was performed to assess the associations between dietary patterns and body mass index (BMI), waist circumference (WC), and waist to hip ratio (WHR). Multivariate logistic regression analysis was used to examine the associations between dietary patterns and obesity, with adjustment for potential confounders. Four major dietary patterns were extracted by means of factor analysis: animal food, traditional Chinese, western fast-food, and high-salt patterns. The animal food pattern was positively associated with BMI (r = 0.082, 0.144, respectively, p < 0.05) and WC (r = 0.102, 0.132, respectively, p < 0.01), and the traditional Chinese pattern was inversely associated with BMI (r = −0.047, −0.116, respectively, p < 0.05) and WC (r = −0.067, −0.113, respectively, p < 0.05) in both genders. After controlling for potential confounders, subjects in the highest quartile of animal food pattern scores had a greater odds ratio for abdominal obesity (odds ratio (OR) = 1.67; 95% confidence interval (CI): 1.188–2.340; p < 0.01), in comparison to those from the lowest quartile. Compared with the lowest quartile of the traditional Chinese pattern, the highest quartile had a lower odds ratio for abdominal obesity (OR = 0.63; 95% CI: 0.441–0.901, p < 0.05). Conclusions: Our findings indicated that the animal food pattern was associated with a higher risk of abdominal obesity, while the traditional Chinese pattern was associated with a lower risk of abdominal obesity. Further prospective studies are warranted to confirm these findings.

You Are What You Tweet: Connecting the Geographic Variation in America's Obesity Rate to Twitter Content

We conduct a detailed investigation of the relationship among the obesity rate of urban areas and expressions of happiness, diet and physical activity on social media. We do so by analyzing a massive, geo-tagged data set comprising over 200 million words generated over the course of 2012 and 2013 on the social network service Twitter. Among many results, we show that areas with lower obesity rates: (1) have happier tweets and frequently discuss (2) food, particularly fruits and vegetables, and (3) physical activities of any intensity. Additionally, we provide evidence that each of these results offer different and unique insight into the variation of the obesity rate in urban areas within the United States. Our work shows how the contents of social media may potentially be used to estimate real-time, population-scale measures of factors related to obesity.

Adherence to the food-based Japanese dietary guidelines in relation to metabolic risk factors in young Japanese women

While Japanese diets have attracted considerable attention because of, for example, the long-life expectancy in Japan, their health benefits have not been examined. In the present study, we cross-sectionally examined whether adherence to the food-based Japanese dietary guidelines is associated with metabolic risk factors in 1083 Japanese women aged 18-22 years. Based on the Japanese Food Guide Spinning Top, adherence to the food-based Japanese dietary guidelines was assessed using dietary information on consumed servings of grain dishes, vegetable dishes, fish and meat dishes, milk and fruits and energy from snacks and alcoholic beverages during the preceding month, which was derived from a comprehensive diet history questionnaire. Higher dietary adherence was associated with higher intakes of protein, carbohydrate, dietary fibre, Na, K and vitamin C, and lower intakes of total and saturated fat. There was also an inverse association between dietary adherence and dietary energy density. After adjustment for potential confounding factors, dietary adherence was inversely associated with waist circumference (P for trend = 0·002). It also showed an inverse association with LDL-cholesterol concentrations (P for trend = 0·04). There was no association with the other metabolic risk factors examined, including BMI, systolic and diastolic blood pressure, total and HDL-cholesterol, TAG, glucose, glycated Hb and insulin concentrations. In conclusion, higher adherence to the food-based Japanese dietary guidelines, which was characterised by favourable dietary intakes of foods and nutrients as well as lower energy density, was associated with lower waist circumference and LDL-cholesterol concentrations in this group of young Japanese women.

Major Dietary Patterns in Relation to General and Central Obesity among Chinese Adults

Limited evidence exists for the association between diet pattern and obesity phenotypes among Chinese adults. In the present study, we analyzed the cross-sectional data from 474,192 adults aged 30-79 years from the China Kadoorie Biobank baseline survey. Food consumption was collected by an interviewer-administered questionnaire. Three dietary patterns were extracted by factor analysis combined with cluster analysis. After being adjusted for potential confounders, individuals following a traditional southern dietary pattern had the lowest body mass index (BMI) and waist circumference (WC); the Western/new affluence dietary pattern had the highest BMI; and the traditional northern dietary pattern had the highest WC. Compared to the traditional southern dietary pattern in multivariable adjusted logistic models, individuals following a Western/new affluence dietary pattern had a significantly increased risk of general obesity (prevalence ratio (PR): 1.06, 95% confidence interval (CI): 1.03-1.08) and central obesity (PR: 1.07, 95% CI: 1.06-1.08). The corresponding risks for the traditional northern dietary pattern were 1.05 (1.02-1.09) and 1.17 (1.25-1.18), respectively. In addition, the associations were modified by lifestyle behaviors, and the combined effects with alcohol drinking, tobacco smoking, and physical activity were analyzed. Further prospective studies are needed to elucidate the diet-obesity relationships.

Assessment of American Heart Association's Ideal Cardiovascular Health Metrics Among Employees of a Large Healthcare Organization: The Baptist Health South Florida Employee Study

BACKGROUND

Healthcare organizations and their employees are critical role models for healthy living in their communities. The American Heart Association (AHA) 2020 impact goal provides a national framework that can be used to track the success of employee wellness programs with a focus on improving cardiovascular (CV) health. This study aimed to assess the CV health of the employees of Baptist Health South Florida (BHSF), a large nonprofit healthcare organization.

HYPOTHESIS

HRAs and wellness examinations can be used to measure the cardiovascular health status of an employee population.

METHODS

The AHA's 7 CV health metrics (diet, physical activity, smoking, body mass index, blood pressure, total cholesterol, and blood glucose) categorized as ideal, intermediate, or poor were estimated among employees of BHSF participating voluntarily in an annual health risk assessment (HRA) and wellness fair. Age and gender differences were analyzed using χ(2) test.

RESULTS

The sample consisted of 9364 employees who participated in the 2014 annual HRA and wellness fair (mean age [standard deviation], 43 [12] years, 74% women). Sixty (1%) individuals met the AHA's definition of ideal CV health. Women were more likely than men to meet the ideal criteria for more than 5 CV health metrics. The proportion of participants meeting the ideal criteria for more than 5 CV health metrics decreased with age.

CONCLUSIONS

A combination of HRAs and wellness examinations can provide useful insights into the cardiovascular health status of an employee population. Future tracking of the CV health metrics will provide critical feedback on the impact of system wide wellness efforts as well as identifying proactive programs to assist in making substantial progress toward the AHA 2020 Impact Goal.

Association between dietary patterns and metabolic syndrome in a sample of Tehranian adults

AIM

Metabolic syndrome is one of the most known risk factors of cardiovascular disease. The aim of the current study was to investigate relationships between major dietary patterns and cardio-metabolic risk factors in patients with metabolic syndrome.

METHODS

This cross-sectional study was conducted among patients with metabolic syndrome. All of the participants underwent anthropometric and blood pressure measurements. Biochemical assessments including serum aspartate aminotransferase (AST), alanine amino transferase (ALT), fating serum glucose (FSG), serum lipids, insulin and adiponectin concentrations were performed by enzymatic methods. Dietary patterns were obtained by factor analysis procedure using principal component method. Nutrient intakes were analyzed by a semi-quantitative food frequency questionnaire (FFQ).

RESULTS

Four major dietary patterns including healthy, meats and fats, sweets, potatoes and refined grains were extracted in the current study. Higher healthy pattern score was in relation with higher concentrations of AST and lower systolic blood pressure. Lower diastolic blood pressure and higher serum triglyceride concentrations were also observed in upper quintiles of meat and fats pattern (P<0.05). Upper quintile of sweet pattern was accompanied with higher serum FSG and insulin concentrations (P<0.05).

CONCLUSIONS

The independent associations between dietary patterns and blood pressure and serum lipids further support the protective role of healthy diet with fruits, vegetables and fish as predominant food items and an un-favorable effect of unhealthy diets with meat, fats and sweets as major ingredients.

Dietary patterns are associated with metabolic risk factors in South Asians living in the United States

BACKGROUND

South Asians are at high risk of metabolic syndrome, and dietary patterns may influence this risk.

OBJECTIVES

We aimed to determine prevalent dietary patterns for South Asians in the United States and their associations with risk factors for metabolic syndrome.

METHODS

South Asians aged 40-84 y without known cardiovascular disease were enrolled in a community-based cohort called Mediators of Atherosclerosis in South Asians Living in America. A validated food frequency questionnaire and serum samples for fasting and 2-h glucose, insulin, glycated hemoglobin, triglycerides, and total and HDL cholesterol were collected cross-sectionally. We used principal component analysis with varimax rotation to determine dietary patterns, and sequential linear and logistic regression models for associations with metabolic factors.

RESULTS

A total of 892 participants were included (47% women). We identified 3 major dietary patterns: animal protein; fried snacks, sweets, and high-fat dairy; and fruits, vegetables, nuts, and legumes. These were analyzed by tertile of factor score. The highest vs. the lowest tertile of the fried snacks, sweets, and high-fat dairy pattern was associated with higher homeostasis model assessment of insulin resistance (HOMA-IR) (β: 1.88 mmol/L ⋅ uIU/L) and lower HDL cholesterol (β: -4.48 mg/dL) in a model adjusted for age, sex, study site, and caloric intake (P < 0.05). The animal protein pattern was associated with higher body mass index (β: 0.73 m/kg(2)), waist circumference (β: 0.84 cm), total cholesterol (β: 8.16 mg/dL), and LDL cholesterol (β: 5.69 mg/dL) (all P < 0.05). The fruits, vegetables, nuts, and legumes pattern was associated with lower odds of hypertension (OR: 0.63) and metabolic syndrome (OR: 0.53), and lower HOMA-IR (β: 1.95 mmol/L ⋅ uIU/L) (P < 0.05).

CONCLUSIONS

The animal protein and the fried snacks, sweets, and high-fat dairy patterns were associated with adverse metabolic risk factors in South Asians in the United States, whereas the fruits, vegetables, nuts, and legumes pattern was linked with a decreased prevalence of hypertension and metabolic syndrome.

Higher Intake of Fruit, but Not Vegetables or Fiber, at Baseline Is Associated with Lower Risk of Becoming Overweight or Obese in Middle-Aged and Older Women of Normal BMI at Baseline

BACKGROUND

Fruit, vegetable, and dietary fiber intake have been associated with lower risk of cardiovascular disease (CVD); however, little is known about their role in obesity prevention.

OBJECTIVE

Our goal was to investigate whether intake of fruits, vegetables, and dietary fiber is associated with weight change and the risk of becoming overweight and obese.

METHODS

We studied 18,146 women aged ≥45 y from the Women's Health Study free of CVD and cancer with an initial body mass index (BMI) of 18.5 to <25 kg/m². Fruit, vegetable, and dietary fiber intakes were assessed at baseline through a 131-item food-frequency questionnaire, along with obesity-related risk factors. Women self-reported body weight on annual questionnaires.

RESULTS

During a mean follow-up of 15.9 y, 8125 women became overweight or obese (BMI ≥25 kg/m²). Intakes of total fruits and vegetables, fruits, and dietary fiber were not associated with the longitudinal changes in body weight, whereas higher vegetable intake was associated with greater weight gain (P-trend: 0.02). In multivariable analyses, controlling for total energy intake and physical activity along with other lifestyle, clinical, and dietary factors, women in the highest vs. lowest quintile of fruit intake had an HR of 0.87 (95% CI: 0.80, 0.94; P-trend: 0.01) of becoming overweight or obese. No association was observed for vegetable or dietary fiber intake. The association between fruit intake and risk of becoming overweight or obese was modified by baseline BMI (P-interaction: <0.0001) where the strongest inverse association was observed among women with a BMI <23 kg/m² (HR: 0.82; 95% CI: 0.71, 0.94).

CONCLUSION

Our results suggest that greater baseline intake of fruit, but not vegetables or fiber, by middle-aged and older women with a normal BMI at baseline is associated with lower risk of becoming overweight or obese.

Impacts of a farmers' market incentive programme on fruit and vegetable access, purchase and consumption

OBJECTIVE

The present study examines the impact of Health Bucks, a farmers' market incentive programme, on awareness of and access to farmers' markets, and fruit and vegetable purchase and consumption in low-income New York City neighbourhoods.

DESIGN

The evaluation used two primary data collection methods: (i) an on-site point-of-purchase survey of farmers' market shoppers; and (ii) a random-digit-dial telephone survey of residents in neighbourhoods where the programme operates. Additionally, we conducted a quasi-experimental analysis examining differential time trends in consumption before and after programme introduction using secondary Community Health Survey (CHS) data.

SETTING

New York City farmers' markets and communities.

SUBJECTS

Farmers' market shoppers (n 2287) completing point-of-purchase surveys in a representative sample of New York City farmers' markets in 2010; residents (n 1025) completing random-digit-dial telephone survey interviews in 2010; and respondents (n 35 606) completing CHS interviews in 2002, 2004, 2008 and 2009.

RESULTS

Greater Health Bucks exposure was associated with: (i) greater awareness of farmers' markets; (ii) increased frequency and amount of farmers' market purchases; and (iii) greater likelihood of a self-reported year-over-year increase in fruit and vegetable consumption. However, our CHS analysis did not detect impacts on consumption.

CONCLUSIONS

While our study provides promising evidence that use of farmers' market incentives is associated with increased awareness and use of farmers' markets, additional research is needed to better understand impacts on fruit and vegetable consumption.

Empirically derived dietary patterns and incident type 2 diabetes mellitus: a systematic review and meta-analysis on prospective observational studies

OBJECTIVE

To systematically review prospective cohort studies about the association between dietary patterns and type 2 diabetes mellitus (T2DM) incidence, and to quantify the effects using a meta-analysis.

DESIGN

Databases such as PubMed, ISI Web of Science, SCOPUS and Google Scholar were searched up to 15 January 2015. Cohort studies which tried to examine the association between empirically derived dietary patterns and incident T2DM were selected. The relative risks (RR) and their 95 % confidence intervals for diabetes among participants with highest v. lowest adherence to derived dietary patterns were incorporated into meta-analysis using random-effects models.

RESULTS

Ten studies (n 404 528) were enrolled in the systematic review and meta-analysis; our analysis revealed that adherence to the 'healthy' dietary patterns significantly reduced the risk of T2DM (RR=0·86; 95 % CI 0·82, 0·90), while the 'unhealthy' dietary patterns adversely affected diabetes risk (RR=1·30; 95 % CI 1·18, 1·43). Subgroup analysis showed that unhealthy dietary patterns in which foods with high phytochemical content were also loaded did not significantly increase T2DM risk (RR=1·06; 95 % CI 0·87, 1·30).

CONCLUSIONS

'Healthy' dietary patterns containing vegetables, fruits and whole grains can lower diabetes risk by 14 %. Consuming higher amounts of red and processed meats, high-fat dairy and refined grains in the context of 'unhealthy' dietary patterns will increase diabetes risk by 30 %; while including foods with high phytochemical content in these patterns can modify this effect.

An energy-reduced dietary pattern, including moderate protein and increased nonfat dairy intake combined with walking promotes beneficial body composition and metabolic changes in women with excess adiposity: a randomized comparative trial

Moderate protein and nonfat dairy intake within an energy-reduced diet (ERD) may contribute to health benefits achieved with body weight (BW) loss. The current study examined the effectiveness of a weight-loss/weight-loss maintenance intervention using an ERD with moderate dietary protein (30% of kcals) and increased nonfat dairy intake (4-5 svg/d), including yogurt (INT group) and daily walking compared to an ERD with standard protein (16-17% of kcals) and standard nonfat dairy intake (3 svg/d) (COM group) with daily walking. A randomized comparative trial with 104 healthy premenopausal women with overweight/obesity was conducted in a university setting. Women were randomized to INT group or COM group. Anthropometric measurements, as well as dietary intake, selected vital signs, resting energy expenditure, blood lipids, glucose, insulin, and selected adipose-derived hormones were measured at baseline, and weeks 2, 12, and 24. Targets for dietary protein and nonfat dairy intake, while initially achieved, were not sustained in the INT group. There were no significant effects of diet group on anthropometric measurements. Women in the INT group and COM group, respectively, reduced BW (-4.9 ± 3.2 and -4.3 ± 3.3 kg, P < 0.001) and fat mass (-3.0 ± 2.2 and -2.3 ± 2.3 kg, P < 0.001) during the 12-week weight-loss phase and maintained these losses at 24 weeks. Both groups experienced significant decreases in body mass index, fat-free soft tissue mass, body fat percentage, waist and hip circumferences and serum triglycerides, total cholesterol, and leptin (all P < 0.001). Healthy premenopausal women with excess adiposity effectively lost BW and fat mass and improved some metabolic risk factors following an ERD with approximately 20% protein and 3 svg/d of nonfat dairy intake.

Dietary Patterns as Predictors of Body Fat and BMI in Women: A Factor Analytic Study

Purpose.

To identify independent patterns of diet using factor analysis to determine the extent to which dietary patterns account for differences in body fat percentage (BF%) and body mass index (BMI). Also, to ascertain the extent to which the associations are influenced by age, education, menopause, energy intake, and physical activity.

Design.

Study design was cross-sectional.

Setting.

Study setting was approximately 20 cities in the Mountain West.

Subjects.

The study included 281 apparently healthy female nonsmokers.

Measures.

Diet was assessed using 7-day weighed food records, and foods were categorized using the American Diabetes and American Dietetic Associations Exchange Lists and expressed as servings per 1000 kcal. BF% was measured using the Bod Pod, and physical activity was estimated using accelerometers worn for 1 week.

Analysis.

We used factor analysis, general linear models, and partial correlations.

Results.

Three dietary patterns were identified: (1) Prudent Pattern, (2) Low-fat Milk, and (3) Meat. Higher consumption of the Prudent Pattern corresponded with significantly lower BF% (F = 8.5, p = .0038) and BMI (F = 4.4, p = .0363). The Low-fat Milk pattern was inversely related to BF% (F= 5.4, p = .0207) and BMI (F= 9.5, p = .0023). Higher intake of the Meat pattern was related to higher levels of BF% (F= 4.5, p= .0346) and BMI (F= 4.2, p = .0418).

Conclusion.

These findings support an association between dietary patterns and body composition. Dietary patterns reflect the complex interrelationships inherent in day-to-day eating and are strongly related to differences in BF% and BMI in women.

Comparison of treatment outcomes in patients with and without diabetes mellitus attending a multidisciplinary cardiovascular prevention programme (a retrospective analysis of the EUROACTION trial)

Background

The objective was to compare the improvements in lifestyle and risk factor profiles in patients with and without diabetes mellitus (DM) in the intervention arm of EUROACTION study.

Methods

This was a retrospective analysis of the intervention arm of EUROACTION trial. Primary outcome was proportions meeting the European targets for not smoking, diet, physical activity (PA), body mass index (BMI), waist circumference (WC), blood pressure (BP), total and low-density lipoprotein (LDL) cholesterol and cardio-protective drug use at one year.

Results

179 and 777 coronary patients with and without DM, and 340 and 917 high-risk individuals (HRI) with and without DM, respectively were identified. The proportions of coronary patients achieving the lifestyle targets improved from the initial assessment (IA) except non-smoking, which reduced. At one year, significantly fewer patients with DM attained the targets for BMI (13.2% vs 31.3%, p = 0.002) and BP <140/90 mmHg (53.5% vs 74.0%, p < 0.001) compared to patients without DM despite a higher proportion of patients with DM prescribed angiotensin converting enzyme inhibitors/angiotensin receptor blockers (79.1% vs 65.3%, p = 0.021).

Among the HRIs, fewer patients with DM achieved targets for oily fish intake (9.3% vs 11.9%, p = 0.043), physical activity (65.8% vs 75.8%, p = 0.011), and BMI (9.9% vs 28.1%, p = 0.022) at one year. While more patients with DM achieved the targets for total cholesterol (48.2% vs 22.9%, p < 0.001) and LDL (57.9% vs 30.7%, p < 0.001).

Conclusions

Multidisciplinary intervention had a beneficial effect on several cardiovascular risk factors in both patients with and without DM. Poorer achievement of mostly lifestyle (and BP in coronary patients) targets among those with DM emphasises the need for more intensive lifestyle modification and BP management for the prevention of cardiovascular disease.

Electronic supplementary material

The online version of this article (doi:10.1186/s12872-015-0006-4) contains supplementary material, which is available to authorized users.

Dietary patterns in India and their association with obesity and central obesity

OBJECTIVE

Obesity is a growing problem in India, the dietary determinants of which have been studied using an 'individual food/nutrient' approach. Examining dietary patterns may provide more coherent findings, but few studies in developing countries have adopted this approach. The present study aimed to identify dietary patterns in an Indian population and assess their relationship with anthropometric risk factors.

DESIGN

FFQ data from the cross-sectional sib-pair Indian Migration Study (IMS; n 7067) were used to identify dietary patterns using principal component analysis. Mixed-effects logistic regression was used to examine associations with obesity and central obesity.

SETTING

The IMS was conducted at four factory locations across India: Lucknow, Nagpur, Hyderabad and Bangalore.

SUBJECTS

The participants were rural-to-urban migrant and urban non-migrant factory workers, their rural and urban resident siblings, and their co-resident spouses.

RESULTS

Three dietary patterns were identified: 'cereals-savoury foods' (cooked grains, rice/rice-based dishes, snacks, condiments, soups, nuts), 'fruit-veg-sweets-snacks' (Western cereals, vegetables, fruit, fruit juices, cooked milk products, snacks, sugars, sweets) and 'animal-food' (red meat, poultry, fish/seafood, eggs). In adjusted analysis, positive graded associations were found between the 'animal-food' pattern and both anthropometric risk factors. Moderate intake of the 'cereals-savoury foods' pattern was associated with reduced odds of obesity and central obesity.

CONCLUSIONS

Distinct dietary patterns were identified in a large Indian sample, which were different from those identified in previous literature. A clear 'plant food-based/animal food-based pattern' dichotomy emerged, with the latter being associated with higher odds of anthropometric risk factors. Longitudinal studies are needed to further clarify this relationship in India.

Dietary Patterns Derived Using Exploratory and Confirmatory Factor Analysis are Stable and Generalizable Across Race, Region, and Gender Subgroups in the REGARDS Study

Background: Examining diet as a whole using dietary patterns as exposures is a complementary method to using single food or nutrients in studies of diet and disease, but the generalizability of intake patterns across race, region, and gender in the United States has not been established.

Objective: To employ rigorous statistical analysis to empirically derive dietary patterns in a large bi-racial, geographically diverse population and examine whether results are stable across population subgroups.

Design: The present analysis utilized data from 21,636 participants in the Reasons for Geographic and Racial Differences in Stroke (REGARDS) study who completed the Block 98 food frequency questionnaire. We employed exploratory factor analysis and confirmatory factor analyses on 56 different food groups iteratively and examined differences by race, region, and sex to determine the optimal factor solution in our sample.

Results: Five dietary patterns emerged: the “Convenience” pattern was characterized by mixed dishes; the “Plant-based” pattern by fruits, vegetables, and fish; the “Sweets/Fats” pattern by sweet snacks, desserts, and fats and oils; the “Southern” pattern by fried foods, organ meat, and sweetened beverages; and the “Alcohol/Salads” pattern by beer, wine, liquor, and salads. Differences were most pronounced in the Southern pattern with black participants, those residing in the Southeast, and participants not completing high school having the highest scores.

Conclusion: Five meaningful dietary patterns emerged in the REGARDS study and showed strong congruence across race, sex, and region. Future research will examine associations between these patterns and health outcomes to better understand racial disparities in disease and inform prevention efforts.

Dietary patterns and maternal anthropometry in HIV-infected, pregnant Malawian women

Diet is a modifiable factor that can contribute to the health of pregnant women. In a sample of 577 HIV-positive pregnant women who completed baseline interviews for the Breastfeeding, Antiretrovirals, and Nutrition Study in Lilongwe, Malawi, cluster analysis was used to derive dietary patterns. Multiple regression analysis was used to identify associations between the dietary patterns and mid-upper arm circumference (MUAC), arm muscle area (AMA), arm fat area (AFA), and hemoglobin at baseline. Three key dietary patterns were identified: animal-based, plant-based, and grain-based. Women with relatively greater wealth were more likely to consume the animal-based diet, which had the highest intake of energy, protein, and fat and was associated with higher hemoglobin levels compared to the other diets. Women with the lowest wealth were more likely to consume the grain-based diet with the lowest intake of energy, protein, fat, and iron and were more likely to have lower AFA than women on the animal-based and plant-based diets, but higher AMA compared to women on the animal-based diet. Pregnant, HIV-infected women in Malawi could benefit from nutritional support to ensure greater nutrient diversity during pregnancy, when women face increased nutrient demands to support fetal growth and development.

Eating in moderation and the essential role of awareness. A Dutch longitudinal study identifying psychosocial predictors

BACKGROUND

Eating in moderation, i.e. the attempt to monitor and limit the intake of energy-dense foods, is a promising strategy in the prevention of weight gain. The purpose of this study was to examine which psychosocial factors derived from the I-Change Model (ICM) were associated with eating in moderation, and whether these factors differed between adults with a correct (aware) or incorrect (unaware) perception of their dietary behaviour.

METHODS

This study used a longitudinal design with measurements at baseline (N = 483) and six-month follow-up (N = 379). Eating in moderation was defined as the average daily energy intake from energy-dense food products and was measured by a validated food frequency questionnaire. Linear regression analyses were used to assess the associations between the ICM factors and eating in moderation. The moderating role of awareness was examined by including interactions between awareness and the ICM factors in the regression analyses using the pick-a-point approach to further examine the associations for aware and unaware participants.

RESULTS

Participants who were aware of their dietary behaviour had a significantly lower average daily energy intake compared to those who were unaware. Eating in moderation was predicted by awareness, risk perception, social influence and intention. Among the aware participants, eating in moderation was predicted by risk perception, attitude, social influence and intention. Among the unaware participants, only risk perception and self-efficacy were significantly associated with eating in moderation.

CONCLUSIONS

Our findings show that psychosocial factors may only predict eating in moderation when people are aware of their risk behaviour. Therefore, interventions aimed at promoting complex behaviours, such as eating in moderation, should first focus on improving individuals' awareness of their risk behaviour before targeting motivational factors.

Can whole grain help in weight management?

BACKGROUND

Evidence from epidemiological studies suggests that higher whole grain intake is associated with improvements in body weight measures. Evidence from randomized controlled intervention studies is controversial.

OBJECTIVE

To assess the scientific evidence, using a descriptive systematic approach, related to the relationship/effects of whole grain on weight management.

METHODS

Medicine Medical Subject Headings (MeSH) were used to search in Medline and Scopus, dating from 1980 to July 2013. Subsequently, 2 researchers assessed independently the resulting abstracts, using hierarchically targeted selection criteria.

RESULTS

A moderate body of evidence from epidemiological studies consistently demonstrates that a higher intake of whole grains is associated with lower body weight, BMI, waist circumference, abdominal adiposity, and weight gain. The evidence from intervention studies is, in comparison, limited and less consistent. Current evidence fails to clearly demonstrate that whole grain intake can contribute to weight loss independent of hypocaloric diets. The lack of consistency in intervention studies may partly be explained by heterogeneity in study duration, types and amounts of whole grain foods included, population, and sample sizes.

CONCLUSIONS

Future epidemiological and intervention studies are needed to address the limitations observed in the current body of evidence, importantly using a consistent definition of whole grain foods, and the amount of whole grains consumed. Furthermore, studies need to be conducted on diets that potentially include single grains.

Dietary patterns associated with anthropometric indicators of abdominal fat in adults

This study aimed to identify dietary patterns and assess their association with abdominal fat. A cross-sectional study was conducted in the Central West Region of Brazil with a probabilistic sample of 208 adults of both sexes. Data on food intake was obtained using a food frequency questionnaire and factor analysis (principal components) was conducted to identify dietary patterns. Waist circumference (WC) and waist-to-hip ratio (WHR) were used to assess abdominal fat. The association between dietary patterns and body fat distribution was examined using multiple linear regression analysis adjusted for confounders. Three dietary patterns were identified: Western, regional traditional, and prudent. A positive association was found between the Western pattern and WC (p = 0.04) and WHR (p = 0.001) and between the regional traditional pattern and WHR (p = 0.05) among women. A slight association was also found between the latter pattern and WC (p = 0.07) also among women. An association was found between the Western and regional traditional dietary patterns and a larger concentration of abdominal fat among women.

Dietary patterns are associated with general and central obesity in elderly living in a Brazilian city

Objective: dietary pattern evaluation is often used in order to determine wheter a diet is healthy, as well as to predict the onset of diseases. This study aimed to identify dietary patterns, and to examine their associations with general (body mass index) and central (waist circumference and waist-to-hip ratio) obesity in community-living elderly in a Brazilian city. Methods: this cross-sectional study included 126 elderly subjects aged 60 or older (57.1% females and mean age 74.2 ± 6.46 years). Anthropometric variables, weight, height, waist (WC) and hip (HC) circumferences, were measured. Body mass index (BMI) and waist-to-hip ratio (WHR) were calculated. Answers to a Food Frequency Questionnaire were interpreted by Principal Component Analysis in order to identify dietary patterns. Results: five dietary patterns were identified and named as prudent (fruit, vegetables and meat), sweets and fats (pastries, sugary foods, fatty foods, whole milk), typical Brazilian (fried eggs, cooked beans, beef, candy, string beans, fried cassava), Mediterranean (fruit, vegetables, olive oil and nuts) and traditional meal (rice and beans). Moderate and high adherences to the Mediterranean pattern were protective factors to general and central obesity (WHR). High adherence to prudent was also protective to central obesity (WC). Conclusion: adherences to the dietary patterns prudent and Mediterranean were protective factors to general and central obesity in elderly.

Variation in dietary intake and physical activity pattern as predictors of change in body mass index (BMI) Z-score among Brazilian adolescents

OBJECTIVE

To assess whether changes in dietary intake and physical activity pattern are associated with the annual body mass index (BMI) z-score change among adolescents.

METHODS

The study was conducted in public schools in the city of Piracicaba, Sao Paulo, Brazil, with a probabilistic sample of 431 adolescents participating in wave I (2004) (hereafter, baseline) and 299 in wave II (2005) (hereafter, follow-up). BMI, usual food intake, physical activity, screen time, sexual maturation and demographic variables were assessed twice. The association between annual change in food intake, physical activity, screen time, and annual BMI z-score changes were assessed by multiple regression.

RESULTS

The study showed a positive variation in BMI z-score over one-year. Among variables related to physical activity pattern only playing videogame and using computer increased over the year. The intake of fruits and vegetables and sugar-sweetened beverages increased over one year, while the others variables showed a reduction. An increased consumption of fatty foods (β = 0.04, p = 0.04) and sweetened natural fruit juices (β = 0.05, p = 0.03) was positively associated with the rise in BMI z-score.

CONCLUSIONS

Unhealthy dietary habits can predict the BMI z-score gain more than the physical activity pattern. The intake of fatty foods and sweetened fruit juices is associated with the BMI z-score over one year.

High carbohydrate diet and physical inactivity associated with central obesity among premenopausal housewives in Sri Lanka

Background

Prevalence of obesity and overweight is rising in developing countries, including Sri Lanka at a rapid pace due to dietary and lifestyle changes. This study aimed to assess the association between high carbohydrate diet, physical inactivity and central obesity among premenopausal housewives in Sri Lanka.

Methods

This study was conducted as a cross-sectional study. A sample of 100 premenopausal women with home duties aged between 20 to 45 years were selected randomly from two divisional secretariats (DS), representing urban and rural sectors in Sri Lanka. Data on basic characteristics, anthropometric measurements, dietary assessment and physical activity were collected. We defined central obesity as a waist circumference ≥80 cm, which is the WHO recommended cut-off. Independent sample t test was used to compare the mean values. Linear and binary logistic regression analyses were performed to find out the relationship and the magnitude of association between central obesity and percentage of energy contributed from carbohydrate and physical activity level, respectively.

Results

The women reported an average of 18 starch portions per day, which was well above the national recommendations. Seventy percent of energy in the diet came from carbohydrate. The mean BMI and waist circumference of total sample was 25.4 kgm^-2 and 78.5 cm, respectively. Prevalence of overweight, obesity and centrally obesity among total sample was 38%, 34% and 45%, respectively. A significant positive correlation observed between high carbohydrate diet and waist circumference (r = 0.628, p < 0.0001). There was a significant negative correlation between energy expenditure from physical activity and waist circumference (r = -0.742, p < 0.0001). High carbohydrate diet and physical inactivity were significantly associated with central obesity (OR = 6.26, p = 0.001, 95% CI-2.11-18.57, OR = 3.32, p = 0.028, 95% CI-1.14-9.68).

Conclusion

High carbohydrate diet and physical inactivity are possible explanations for the high prevalence of central obesity. There is an urgent need to implement effective specific public health interventions at household level to reverse this trend among the housewives in Sri Lanka.

Instant noodle intake and dietary patterns are associated with distinct cardiometabolic risk factors in Korea

The consumption of instant noodles is relatively high in Asian populations. It is unclear whether a higher intake of instant noodles is associated with cardiometabolic risk independent of overall dietary patterns. We therefore investigated the association using the Korean National Health and Nutrition Examination Survey IV 2007-2009, a nationally representative cross-sectional survey of the Korean population with a clustered, multistage, stratified, and rolling sampling design. A total of 10,711 adults (54.5% women) 19-64 y of age were analyzed, with adjustment for sampling design complexity. Diet was assessed by using a 63-item food-frequency questionnaire. We identified 2 major dietary patterns with the use of principal components analysis: the "traditional dietary pattern" (TP), rich in rice, fish, vegetables, fruit, and potatoes, and the "meat and fast-food pattern" (MP), with less rice intake but rich in meat, soda, fried food, and fast food including instant noodles. The highest MP quintile was associated with increased prevalence of abdominal obesity (OR: 1.41; 95% CI: 1.05, 1.90), LDL cholesterol ≥130 mg/dL (1.3 g/L) (OR: 1.57, 95% CI 1.26, 1.95), decreased prevalence of low HDL cholesterol (OR: 0.65; 95% CI: 0.53, 0.80), and high triglycerides [≥150 mg/dL (1.5 g/L); OR: 0.73; 95% CI: 0.57, 0.93]. The highest quintile for the TP was associated with decreased prevalence of elevated blood pressure (OR: 0.73; 95% CI: 0.59, 0.90) and marginally lower trends for abdominal obesity (OR: 0.76; 95% CI: 0.58, 0.98; P-trend = 0.06), but neither of the dietary patterns was associated with prevalence of metabolic syndrome. The consumption of instant noodles ≥2 times/wk was associated with a higher prevalence of metabolic syndrome (OR: 1.68; 95% CI: 1.10, 2.55) in women but not in men (OR: 0.93; 95% CI: 0.58, 1.49; P-interaction = 0.04). The 2 major dietary patterns were associated with distinct cardiometabolic risk factors. The consumption of instant noodles was associated with increased prevalence of metabolic syndrome in women, independent of major dietary patterns.

Dietary pattern trajectories during 15 years of follow-up and HbA1c, insulin resistance and diabetes prevalence among Chinese adults

BACKGROUND

Most research on dietary patterns and health outcomes does not include longitudinal exposure data. We used an innovative technique to capture dietary pattern trajectories and their association with haemoglobin A1c (HbA1c), homeostasis model of insulin resistance (HOMA-IR) and prevalence of newly diagnosed diabetes.

METHODS

We included 4096 adults with 3-6 waves of diet data (1991-2006) and biomarkers measured in 2009 from the China Health and Nutrition Survey. Diet was assessed with three 24-h recalls and a household food inventory. We used a dietary pattern previously identified with reduced rank regression that positively predicted diabetes in 2006 (high in wheat products and soy milk and low in rice, legumes, poultry, eggs and fish). We estimated a score for this dietary pattern for each subject at each wave. Using latent class trajectory analysis, we grouped subjects with similar dietary pattern score trajectories over time into five classes.

RESULTS

Three trajectory classes were stable over time, and in two classes the diet became unhealthier over time (upward trend in dietary pattern score). Among two classes with similar scores in 2006, the one with the lower (healthier) initial score had an HbA1c 1.64% lower (-1.64 (95% CI -3.17 to -0.11)) and non-significantly a HOMA-IR 6.47% lower (-6.47 (-17.37 to 4.42)) and lower odds of diabetes (0.86 (0.44 to 1.67)).

CONCLUSIONS

Our findings suggest that dietary pattern trajectories with healthier scores longitudinally had a lower HbA1c compared with those with unhealthier scores, even when the trajectories had similar scores in the end point.

Dietary patterns are associated with obesity in Japanese patients with schizophrenia

BACKGROUND

Obesity among patients with schizophrenia is a growing concern because being overweight is widely regarded as a major risk factor for cardiovascular disease and premature death. Dietary patterns have been suggested as one modifiable factor that may play a role in development of obesity. The objective of this study was to examine the association between dietary patterns and obesity among patients with schizophrenia in Japan.

METHODS

We recruited patients (n = 338) aged 44.0 ± 13.2 (mean ± SD) years with a DSM-IV diagnosis of schizophrenia who were admitted to four psychiatric hospitals using a cross-sectional design. Diet was assessed with a validated brief-type self-administered diet history questionnaire (BDHQ). Dietary patterns from 52 predefined food groups were extracted by principal component analysis.

RESULTS

A total of 61 subjects (18.0%) were classified as obese. Three dietary patterns were identified: the healthy dietary pattern, the processed food dietary pattern, and the alcohol and accompanying dietary patterns. After adjusting for age and gender, patients within the high tertile of each healthy dietary pattern (OR = 0.29, 95% CI = 0.13 to 0.62) and processed food dietary pattern (OR = 0.44, 95% CI = 0.22 to 0.89) had a significantly lower risk for obesity compared with low tertile of dietary pattern.

CONCLUSIONS

Our findings suggest that dietary patterns, including higher intake of protein, fat, n-3 polyunsaturated fatty acids, n-6 polyunsaturated fatty acids, and vitamins, may be related to a decreased prevalence of obesity within patients with schizophrenia. Future longitudinal research exploring dietary patterns and obesity among patients with schizophrenia is warranted.

Food Classification Systems Based on Food Processing: Significance and Implications for Policies and Actions: A Systematic Literature Review and Assessment

This paper is the first to make a systematic review and assessment of the literature that attempts methodically to incorporate food processing into classification of diets. The review identified 1276 papers, of which 110 were screened and 21 studied, derived from five classification systems. This paper analyses and assesses the five systems, one of which has been devised and developed by a research team that includes co-authors of this paper. The quality of the five systems is assessed and scored according to how specific, coherent, clear, comprehensive and workable they are. Their relevance to food, nutrition and health, and their use in various settings, is described. The paper shows that the significance of industrial food processing in shaping global food systems and supplies and thus dietary patterns worldwide, and its role in the pandemic of overweight and obesity, remains overlooked and underestimated. Once food processing is systematically incorporated into food classifications, they will be more useful in assessing and monitoring dietary patterns. Food classification systems that emphasize industrial food processing, and that define and distinguish relevant different types of processing, will improve understanding of how to prevent and control overweight, obesity and related chronic non-communicable diseases, and also malnutrition. They will also be a firmer basis for rational policies and effective actions designed to protect and improve public health at all levels from global to local.

The association of taste with change in adiposity-related health measures

The relationship between taste-intensity patterns and 5-year change in adiposity-related health measures was determined. Participants were members of the Beaver Dam Offspring Study, a study of the adult children of participants in the population-based Epidemiology of Hearing Loss Study. There were 1,918 participants (mean baseline age=48.8 years; range=22 to 84 years) with baseline taste (2005 to 2008) and follow-up (2010 to 2013) data. Outcomes included 5-year change in body mass index, waist circumference, blood pressure, non-high-density lipoprotein cholesterol, and glycosylated hemoglobin A1c, and hedonic ratings of specific foods. Cluster analysis with Ward's minimum variance method identified the following 5 patterns of the suprathreshold taste intensities of salt, sweet, sour, and bitter: salt and sweet intensities slightly above population averages, average sour and bitter intensities; salt, sour, and bitter intensities above population average, average sweet intensity; salt, sour, and bitter intensities above population average, sweet intensity substantially above average; all intensities below population averages; and all intensities close to population average. The General Linear Model procedure was used for testing cluster differences in the outcomes. With covariate adjustment, the group with all intensities close to population averages had a significantly lower average increase in body mass index compared with the group with above-average intensities for salt, sour, and bitter (+0.4 vs +0.9), and in glycosylated hemoglobin A1c compared with the group with above-average intensities for all tastes (+0.20% vs +0.34%). Clusters differed in the hedonics of foods representing sweetness and saltiness. The study's findings provide evidence that perceived taste intensity might be related to changes in adiposity-related health.

The independent association between diet quality and body composition

Excess body weight is associated with an imbalance between energy expenditure and dietary intake but evidence on the association between diet quality and body composition remains equivocal. Rather than relying on differences in diet quality between overweight/obese and normal weight adults, this study examined the association between the Healthy Eating Index 2010 (HEI-2010) and body fatness on a continuous scale, independent of physical activity (PA). Further the association between components of the HEI-2010 and risk for overweight/obesity was explored. 407 adults (27.6 ± 3.7 years) provided at least two 24-hour diet recalls over a period of 14 days, which were used to calculate the HEI-2010. Percent body fat (BF) was assessed via dual X-ray absorptiometry and PA was determined via a multi-sensor device, worn over a period of 10 days. PA was a stronger contributor to the variability in BF than the HEI-2010 and the association between HEI-2010 and BF was significant only in men. Particularly a high consumption of protein, sodium and empty calories increased the risk for overweight/obesity. Adherence to dietary guidelines positively affects body fatness in men, independent of PA. In contrast to current dietary recommendations, the risk for overweight/obesity was increased with a higher protein intake.

Predictors of increased body weight and waist circumference for middle-aged adults

OBJECTIVE

To identify predictors of increased adiposity for different measures of adiposity.

DESIGN

Prospective cohort study, the Melbourne Collaborative Cohort Study (MCCS), with data at baseline (1990-1994) and wave 2 (2003-2007).

SETTING

Participants recruited from the community.

SUBJECTS

Australian-born participants (n 5879) aged 40 to 69 years who were not current smokers and who were free from common chronic diseases at recruitment. At baseline and at wave 2, weight and waist circumference were measured; while demographic and lifestyle variables were obtained at baseline via structured interviews.

RESULTS

Participants who reported any recreational physical activity at baseline had lower weight and smaller waist circumference at wave 2 than those who did not, particularly for younger participants and for vigorous physical activity. Walking for leisure was not associated, and greater physical activity at work was associated, with greater adiposity measures at wave 2. A diet low in carbohydrates and fibre, but high in fat and protein, predicted greater weight and waist circumference at wave 2. Participants were less likely to have elevated weight or waist circumference at wave 2 if they consumed low to moderate amounts of alcohol.

CONCLUSIONS

Our findings indicate that promoting vigorous physical activity, encouraging a diet high in carbohydrate and fibre but low in fat and protein, and limiting alcohol intake could be promising approaches for preventing obesity in middle-aged adults. Similar interventions should successfully address the management of both weight and waist circumference, as they were predicted by similar factors.

Multiple myeloma in the very old: an IASIA conference report

Multiple myeloma (MM) in patients aged greater than 80 years poses an increasingly common challenge for oncology providers. A multidisciplinary workshop was held in which MM-focused hematologists/oncologists, geriatricians, and associated health-care team members discussed the state of research for MM therapy, as well as themes from geriatric medicine that pertain directly to this patient population. A summary statement of our discussions is presented here, in which we highlight several topics. MM disproportionately affects senior adults, and demographic trends indicate that this trend will accelerate. Complex issues impact cancer in seniors, and although factors such as social environment, comorbidities, and frailty have been well characterized in nononcological geriatric medicine, these themes have been inadequately explored in cancers such as MM, despite their clear relevance to this field. Therapeutically, novel agents have improved survival for MM patients of all ages, but less so for seniors than younger patients for a variety of reasons. Lastly, both MM- and treatment-related symptoms and toxicities require special attention in senior adults. Existing research provides limited insight into how best to manage these often complex patients, who are often not reflected in typical clinical trial populations. We hence offer suggestions for clinical trials that address knowledge gaps in how to manage very old and/or frail patients with MM, given the complicated issues that often surround this patient population.

Healthy Eating Index is associated with certain markers of inflammation and insulin resistance but not with lipid profile in individuals at cardiometabolic risk

Eating habits may influence inflammatory status and insulin resistance, both involved in the genesis of cardiometabolic diseases; an index of overall diet quality may be useful to identify risk for these diseases. We investigated whether the Healthy Eating Index (HEI-2005), adapted to Brazilian habits (B-HEI), was associated with markers of inflammation, insulin resistance and lipid profile in individuals at cardiometabolic risk. Two hundred and four prediabetic individuals (64.7% women) were enrolled in this cross-sectional study. Anthropometric measurements, 24-h dietary recalls used to calculate the B-HEI, and blood samples were collected. ANOVA was used for comparisons of clinical variables across the B-HEI tertiles and multiple linear regressions employed to test associations between clinical variables and B-HEI total score. Significant trends to decrease mean values of body mass index (BMI) (p = 0.03) and C-reactive protein concentrations (p = 0.02) across the tertiles of B-HEI, but not other biomarkers, were observed. Waist circumference, HOMA-IR and C-reactive protein were inversely associated with the B-HEI (p < 0.05), after adjusting for age, sex, BMI, and physical activity level. Also, a direct association of adiponectin concentrations with B-HEI was detected after adjustments (p = 0.001). Data from this study indicate that the B-HEI may be useful to identify the body adiposity-induced pro-inflammatory status and insulin resistance in individuals at cardiometabolic risk.

Central obesity is associated with lower intake of whole-grain bread and less frequent breakfast and lunch: results from the HUNT study, an adult all-population survey

All-population and area-based investigations of diet in central obesity are scarce. We used cross-sectional data from 50 339 individuals who responded to the HUNT3 survey of 2006-2008, which recruited from all county-residing adults 20 years and older, to investigate whether those with central obesity eat and drink differently than others. Answers to dietary questions were recoded and analyzed with multiple linear regression, using waist/hip ratio (WHR), age, and sex as explanatory variables. Frequencies of consumption or amounts of food, beverages, and meals were compared among WHR quartiles. Central obesity was present in the quartile with the highest WHR, WHR4 (WHR ≥ 0.917 for women and 0.981 for men) but not in the quartile with the lowest WHR, WHR1 (WHR < 0.817 for women and 0.895 for men). Dietary variables differed markedly by age and sex. After adjustment for these factors and for multiple testing, we found significant differences between WHR4 and WHR1 for 19 of 30 dietary variables. Central obesity was associated with a lower intake of any bread, and of whole-grain bread in particular. Intake of fruits and berries, vegetables, and pasta and rice was less, and intake of sausages and hamburgers and boiled potatoes was more frequent. Intake of alcohol, tea, and fruit juice was lower in those with central obesity, whereas intake of sugar-free soft drinks and coffee was higher. The frequency of breakfast and lunch was lower and of nightly meals was higher in those with central obesity. In conclusion, in this large area-based population, central obesity was associated with differences in dietary habits, some of which (such as decreased consumption of whole-grain bread and increased intake of sugar-free drinks) are of possible clinical significance.

Dietary quality and 6-year anthropometric changes in a sample of French middle-aged overweight and obese adults

BACKGROUND

Understanding the role of dietary quality in the progression of adiposity in populations already affected by overweight or obesity is crucial for the guidance of secondary prevention strategies.

OBJECTIVE

To examine the association of diet quality, as reflected by the French Nutrition and Health Programme (Programme National Nutrition Santé, PNNS)-Guideline Score (GS), with 6-year-changes in weight and waist circumference.

DESIGN AND METHODS

Subjects were 1029 male and 450 female participants of the SUplémentation en VItamines et Minéraux AntioXydants (SU.VI.MAX) cohort (1994-2002) with anthropometric variables at baseline and follow-up and available data for estimating diet quality at baseline. We employed analysis of variance and covariance models to investigate anthropometric changes (% of the initial value) by categories of the PNNS-GS, which contains both dietary components and a physical activity component, and of a modified score (mPNNS-GS) containing dietary components only.

RESULTS

In men, a low (<6 points) PNNS-GS was associated with greater 6-year weight gain (adjusted mean: 3.63% [95% confidence interval: 2.87%; 4.39%]) as compared to a high (≥9 points) PNNS-GS (2.10% [1.39%; 2.81%]); p = 0.01. Results for the mPNNS-GS were very similar. In women, no associations between diet scores and weight change were observed. No significant relation between dietary quality and change in waist circumference was present among either men or women.

CONCLUSIONS

These results support a beneficial role of high dietary quality--as characterized by good adherence to official French nutritional guidelines--in secondary obesity prevention, among men.

Impact of the revised Special Supplemental Nutrition Program for Women, Infants, and Children (WIC) food package policy on fruit and vegetable prices

Obesity is generally inversely related to income among women in the United States. Less access to healthy foods is one way lower income can influence dietary behaviors and body weight. Federal food assistance programs, such as the Special Supplemental Nutrition Program for Women, Infants, and Children (WIC), are an important source of healthy food for low-income populations. In 2009, as part of a nationwide policy revision, WIC added a fruit and vegetable (F/V) voucher to WIC food packages. This quasi-experimental study determined whether F/V prices at stores authorized to accept WIC (ie, WIC vendors) decreased after the policy revision in seven Illinois counties. It also examined cross-sectional F/V price variations by store type and neighborhood characteristics. Two pre-policy observations were conducted in 2008 and 2009; one post-policy observation was conducted in 2010. Small pre- to post-policy reductions in some F/V prices were found, particularly for canned fruit and frozen vegetables at small stores. Compared with chain supermarkets, mass merchandise stores had lower prices for fresh F/V and frozen F/V and small stores and non-chain supermarkets had higher canned and frozen F/V prices, but lower fresh F/V prices. Limited price differences were found across neighborhoods, although canned vegetables were more expensive in neighborhoods with higher concentrations of either Hispanics or blacks and fresh F/V prices were lower in neighborhoods with more Hispanics. Results suggest the WIC policy revision contributed to modest reductions in F/V prices. WIC participants' purchasing power can differ depending on the type and neighborhood of the WIC vendor used.

Individualized tailor-made dietetic intervention program at schools enhances eating behaviors and dietary habits in obese Hispanic children of low socioeconomic status

Hispanic children and those from low-socioeconomic status are predisposed to unhealthy eating habits and obesity.

AIM

to implement an individualized, face-to-face, parent supported, and school-partnership dietetic intervention to promote healthy eating habits and decrease body mass index. Prospective school year dietetic intervention of 101 obese, Hispanic, low-socioeconomic school-age children representative of Monterrey, Mexico, consisted of anthropometrics, dietetic assessment, energy-restriction tailor-made daily menus, and parental education every three weeks. Student's t-test was used for means comparison. A significant decrease was found in body mass index percentile (96.43 ± 3.32 to 93.42 ± 8.12/P = 0.00) and energy intake/day of -755.7 kcal/day (P = 0.00). Among other energy dense foods with significant decline in servings/day and servings/week were processed meats (3.13 ± 1.43 to 2.19 ± 1.04/P = 0.00 and 5.60 ± 1.75 to 4.37 ± 2.10/P = 0.00, resp.), saturated fat (1.47 ± 1.08 to 0.78 ± 0.79/P = 0.00 and 2.19 ± 2.18 to 1.1 ± 1.36/P = 0.00), sweetened beverages (2.79 ± 1.99 to 1.42 ± 1.21 and 6.21 ± 1.72 to 3.89 ± 2.80/P = 0.00), and desserts and refined-grain bakery (1.99 ± 1.54 to 1.32 ± 1.59 and 2.85 ± 2.54 to 1.57 ± 2.20/P = 0.00). There was a significant increase in servings/day and servings/week of water (2.98 ± 2.02 to 4.91 ± 2.37 and 6.62 ± 2.03 to 6.87 ± 0.91/P = 0.00, resp.) and nutrient dense foods such as fruits (1.31 ± 0.89 to 1.66 ± 0.96 and 3.34 ± 2.24 to 4.28 ± 2.43/P = 0.00) and fish and poultry (3.76 ± 2.15 to 4.54 ± 2.25/P = 0.00). This intervention created healthy eating habits and decreased body mass index in a high risk population.

TRIAL REGISTRATION NUMBER

NCT01925976.

Diversity of eating patterns in older adults: A new scenario?

OBJECTIVE: To identify eating patterns and their distribution in a representative sample of older adults from the municipality of Botucatu, São Paulo, Brazil. METHODS: This cross-sectional study used food frequency and sociodemographic questionnaires to collect the respective data from 355 older users, selected by stratified sampling, of Botucatu's primary health care units from March to June 2011. Principal component analysis extracted six eating patterns. Individual food intake scores were divided into tertiles, classifying individual adherence to each eating pattern as low, moderate, or high, to measure the relationship between adherence tertiles and sociodemographic variables. RESULTS: Six eating patterns were identified and named as follows: healthy foods; snacks and weekend meals; fruits; light and whole foods; soft diet; and traditional diet. Individuals with elementary school adhered highly to the patterns 'healthy foods' and 'fruits'. On the other hand, men and individuals with the highest education levels adhered highly to the pattern 'snacks and weekend meal'. Females adhered more often to the patterns 'light and whole foods' and 'soft diet'. The pattern 'soft diet' was also preferred by the oldest subgroup. CONCLUSION: The study population presented a diversity of eating patterns influenced by sociodemographic characteristics.

The association of dietary patterns and weight change in rural older adults 75 years and older

Little is known about the relationship between weight change and dietary patterns (DP) in older adults, especially in those of advanced age (≥ 75 years). We examined the association of DP with obesity and five-year weight change in community-dwelling older adults (n = 270; mean ± SD age: 78.6 ± 3.9 years). Dietary data were collected from four, random, 24-hour dietary recalls over a 10-month period. Weight change was examined as: (1) 10-pound weight loss; (2) 10-pound weight gain; (3) 10% weight loss; and (4) 10% weight gain. Cluster analysis was used to derive 3 DP ("Health-conscious," "Sweets and dairy," and "Western"). Kaplan-Meier plots and Cox proportional hazards regression models were used. About 39% of participants lost at least 10 pounds during follow up. In the unadjusted model, five-year weight loss was not associated with dietary pattern. However, when stratified by gender, females who were characterized by the Sweets and Dairy and the Western DP were three and two times more likely to lose 10 pounds, respectively, compared to those in the Health-conscious DP (P < 0.05). These observations suggest that it is appropriate to recommend a Health-conscious DP for women 75 years and older who may be at risk for weight loss.

Mediterranean dietary pattern and chronic diseases

The study of the relationship between the Mediterranean way of eating and the occurrence of diseases typical of the economically developed countries has been considered the starting point of nutritional epidemiology. From the Seven Countries Study in the 1950s to the recent European EPIC collaboration, the evaluation of the components of diet-affecting chronic diseases such as cardiovascular disease and cancer has been crucially based on the analysis of foods and nutrients characterizing the Mediterranean dietary habits. This long research history has been marked by a consistency of data over time when either single nutrients/food groups or more complex dietary patterns have been analyzed: The Mediterranean way of eating is a protective tool from cardiovascular diseases and many cancers. Italy has been a natural point of observation, starting from cardiovascular disease in the mid-1950s and continuing with major cancers. In spite of unfavorable lifestyle changes in the Italian population mostly due to globalization of unhealthy habits (richer diet and lower levels of physical activity), those individuals still close to the Mediterranean style are significantly protected. The very recent Italian data derived from the observation of about 50,000 individuals, participating in the Italian cohorts of the EPIC study, confirm these findings and are consistent with results from other European populations and in some cases also from North American populations. Moreover, several dietary trials suggest that such a way of eating improves both the metabolic risk condition for chronic disease and the occurrence of those diseases. In conclusion, a way of eating inspired by a Mediterranean dietary pattern is not only based on evidence but is also a palatable style that has contributed to protection from the epidemic of chronic diseases.

Changes in food intake patterns associated with body weight loss during a 12-week health promotion program and a 9-month follow-up period in a Japanese population

SUMMARY

Recently, food intake pattern analysis associated with body weight has been conducted instead of traditional dietary analysis focusing on a single nutrient or food group, but there have been few studies examining the association between change in food intake patterns and body weight loss. In this study, short- and long-term relationships between changes in food intake patterns and body weight loss were examined. Subjects were 506 overweight/obese men and women who participated in a 12-week health promotion program and a follow-up check 9 months later. Diet was assessed with a FFQ and food intake patterns named "Plant foods and seafood" and "Sweets, meats, dairy products and alcohol" were derived by cluster analysis using the intake of 17 food groups at the baseline. During the program, body weight loss of the subjects changed pattern from "Sweets, meats, dairy products and alcohol" to "Plant foods and seafood" (SP group) was significantly larger than that of the subjects who showed an opposite pattern change (PS group) or the subjects who maintained "Sweets, meats, dairy products and alcohol" pattern after adjusting for age, sex, body weight at the baseline, changes in energy intake and exercise habit. Body weight loss of the SP group was also significantly greater than that of the PS group during the follow-up period. Changes in food intake patterns were related to body weight loss and changing the pattern from "Sweets, meats, dairy products and alcohol" to "Plant foods and seafood" was most effective for short- and long-term body weight loss.: