Diet-related practices and BMI are associated with diet quality in older adults.

OBJECTIVE: To assess the association of diet-related practices and BMI with diet quality in rural adults aged ≥74 years. DESIGN: Cross-sectional. Dietary quality was assessed by the twenty-five-item Dietary Screening Tool (DST). Diet-related practices were self-reported. Multivariate linear regression models were used to analyse associations of DST scores with BMI and diet-related practices after controlling for gender, age, education, smoking and self- v. proxy reporting. SETTING: Geisinger Rural Aging Study (GRAS) in Pennsylvania, USA. SUBJECTS: A total of 4009 (1722 males, 2287 females; mean age 81·5 years) participants aged ≥74 years. RESULTS: Individuals with BMI < 18·5 kg/m2 had a significantly lower DST score (mean 55·8, 95 % CI 52·9, 58·7) than those individuals with BMI = 18·5-24·9 kg/m2 (mean 60·7, 95 % CI 60·1, 61·5; P = 0·001). Older adults with higher, more favourable DST scores were significantly more likely to be food sufficient, report eating breakfast, have no chewing difficulties and report no decline in intake in the previous 6 months. CONCLUSIONS: The DST may identify potential targets for improving diet quality in older adults including promotion of healthy BMI, breakfast consumption, improving dentition and identifying strategies to decrease concern about food sufficiency.

Development and evaluation of a method for calculating the Healthy Eating Index-2005 using the Nutrition Data System for Research.

OBJECTIVE: To develop and evaluate a method for calculating the Healthy Eating Index-2005 (HEI-2005) with the widely used Nutrition Data System for Research (NDSR) based on the method developed for use with the US Department of Agriculture's (USDA) Food and Nutrient Dietary Data System (FNDDS) and MyPyramid Equivalents Database (MPED). DESIGN: Cross-sectional. SETTING: Non-institutionalized, community-dwelling adults aged 70 years and above. SUBJECTS: Two hundred and seventy-one adults participating in the Geisinger Rural Aging Study (GRAS) and 620 age- and race-matched adults from the National Health and Nutrition Examination Survey 2001-2002 (NHANES) were included in the analysis. The HEI-2005 scores were generated using NDSR in GRAS and compared to scores generated using FNDDS and MPED in NHANES. RESULTS: Similar total HEI-2005 scores (mean 62·0 (se 0·75) in GRAS v. 57·4 (se 0·55) in NHANES) were estimated, and the individual components most strongly correlated with total score in both samples were compared. Cronbach's coefficient α values of HEI-2005 were 0·52 in GRAS and 0·43 in NHANES. CONCLUSIONS: Since NDSR is commonly used for educational purposes, in clinical settings and in nutrition research, it is important to develop methodology for assessing diet quality through the use of HEI-2005 with this dietary analysis software application and its accompanying food and nutrient database. Results from the present study show that HEI-2005 scores can be generated with NDSR using the method described in the present study and the detailed USDA Center for Nutrition Policy and Promotion technical report as guidance.

Plausible reports of energy intake may predict body mass index in pre-adolescent girls.

Inaccurate reporting of energy intake makes it difficult to study the associations between diet and weight status. This study examined reported energy intake at age 9 years as a predictor of girls' body mass index (BMI) at age 11 years, before and after adjusting for parents' BMI and girls' pubertal status. This prospective, observational cohort study included 177 non-Hispanic white girls and their parents. When the subjects were 9 years of age, three 24-hour recalls were used to categorize girls as plausible or implausible over-reporters and under-reporters based on previously published methods. Height and weight was measured to calculate BMI. Linear and hierarchical regression analyses were used to predict girls' BMI. Results revealed that girls who under-reported had significantly higher BMIs than plausible and overreporters. Among the total sample and among implausible reporters, reported energy intake was not a significant predictor of BMI; however, among plausible reporters, reported energy intake explained 14% of the variance in BMI and remained a significant predictor after adjusting for parental BMI and girls' pubertal status. Systematic bias related to underreporting in dietary data can obscure relationships with weight status, even among young girls. A relatively simple analytical procedure can be used to identify the magnitude and nature of reporting bias in dietary data.

Reductions in dietary energy density are associated with weight loss in overweight and obese participants in the PREMIER trial.

BACKGROUND: Dietary energy density (ED) reductions are associated with energy intake (EI) reductions. Little is known about influences on body weight (BW). OBJECTIVES: We examined the effects of behavioral interventions on ED values and explored how 6-mo ED changes relate to BW. DESIGN: Prehypertensive and hypertensive persons were randomly assigned to 1 of 3 groups: the established group received an 18-session intervention implementing well-established hypertension recommendations (eg, weight loss, sodium reduction, and physical activity), the established+Dietary Approaches to Stop Hypertension (DASH) group received an 18-session intervention also implementing the DASH diet, and the advice group received 1 session on these topics. Two 24-h dietary recalls were collected (n=658). RESULTS: Each group had significant declines in EI, ED, and BW. The established and established+DASH groups had the greatest EI and BW reductions. The established+DASH group had the greatest ED reduction and the greatest increase in the weight of food consumed. When groups were combined and analyzed by ED change tertiles, participants in the highest tertile (ie, largest ED reduction) lost more weight (5.9 kg) than did those in the middle (4.0 kg) or lowest (2.4 kg) tertile. Participants in the highest and middle tertiles increased the weight of food they consumed (300 and 80 g/d, respectively) but decreased their EI (500 and 250 kcal/d). Conversely, those in the lowest tertile decreased the weight of food consumed (100 g/d), with little change in EI. The highest and middle tertiles had favorable changes in fruit, vegetable, vitamin, and mineral intakes. CONCLUSION: Both large and modest ED reductions were associated with weight loss and improved diet quality.

Assessing the effect of underreporting energy intake on dietary patterns and weight status.

OBJECTIVES: To identify misreporting among older rural adults using a prediction algorithm and to compare dietary patterns of underreporters and plausible reporters. DESIGN: In this cross-sectional study, diet information was assessed by five 24-hour recalls collected over 10 months. All foods were classified into 24 food subgroups. Demographic, health, and anthropometric data were collected via home visit. SETTING: Rural Pennsylvania. SUBJECTS: One hundred seventy-nine community-dwelling adults, aged 66 to 87 years. STATISTICAL ANALYSIS: Cluster analysis. RESULTS: Underreporters (n=43) were more likely than plausible reporters (n=133) to be overweight and less educated but did not differ by sex. Underreporters consumed fewer servings across the majority of food groups. Two dietary patterns were determined for all and plausible reporters, in both cases one of higher and one of lower nutrient density. Using only plausible reporters to determine dietary patterns was very similar to using all reporters. The correlation between energy intake and weight status was improved for plausible-reporting women, but not men. CONCLUSIONS: Dietary patterns of plausible reporters were generally similar to that of all reporters; however, correlations with energy intake and weight status improved for women using only plausible reporters. Individuals may not accurately report dietary intake. Those obtaining diet reports should be aware of reporting errors before making decisions about dietary adequacy.

Obesity as a risk factor for developing functional limitation among older adults: A conditional inference tree analysis.

OBJECTIVE: To examine the risk factors of developing functional decline and make probabilistic predictions by using a tree-based method that allows higher order polynomials and interactions of the risk factors. METHODS: The conditional inference tree analysis, a data mining approach, was used to construct a risk stratification algorithm for developing functional limitation based on BMI and other potential risk factors for disability in 1,951 older adults without functional limitations at baseline (baseline age 73.1 ± 4.2 y). We also analyzed the data with multivariate stepwise logistic regression and compared the two approaches (e.g., cross-validation). Over a mean of 9.2 ± 1.7 years of follow-up, 221 individuals developed functional limitation. RESULTS: Higher BMI, age, and comorbidity were consistently identified as significant risk factors for functional decline using both methods. Based on these factors, individuals were stratified into four risk groups via the conditional inference tree analysis. Compared to the low-risk group, all other groups had a significantly higher risk of developing functional limitation. The odds ratio comparing two extreme categories was 9.09 (95% confidence interval: 4.68, 17.6). CONCLUSIONS: Higher BMI, age, and comorbid disease were consistently identified as significant risk factors for functional decline among older individuals across all approaches and analyses.

Dairy and dairy-related nutrient intake during middle childhood.

OBJECTIVE: To characterize patterns of dairy intake among girls in middle childhood. DESIGN: Longitudinal data were used to characterize girls' patterns of dairy intake at age 5, 7, 9, and 11 years. SUBJECTS: Participants were 151 girls from predominately middle-class and exclusively non-Hispanic white families living in central Pennsylvania. STATISTICAL ANALYSES: Intakes of dairy, energy, macronutrients, vitamin D, calcium, and phosphorus were assessed using three 24-hour dietary recalls in 151 non-Hispanic white girls at age 5, 7, 9, and 11 years. Analyses of changes over time were conducted using repeated measures analysis of variance. McNemar's chi(2) test was used to analyze change in percentage of dairy consumers over time. RESULTS: From age 5 to 11 years, girls' total dairy intake remained stable. Total milk consumption declined, due to a decline in intake of milk as a beverage, while intakes of cheese and dairy desserts increased. Much of the decline in milk intake from age 5 to 11 years, especially for milk as a beverage, was due to a reduction in the percentage of girls consuming milk as a beverage, not simply due to a decline in the servings of milk as a beverage consumed by consumers. On average, girls met vitamin D recommendations over time; however, by age 9 and 11 years girls failed to meet calcium and phosphorus recommendations. CONCLUSIONS: Although girls' dairy intake was stable over time, at age 7, 9, and 11 years girls did not meet the recommended three servings per day, leading to suboptimal intakes of calcium and phosphorus at age 9 and 11 years. Increasing milk intake among all children should continue to be a major focus of interventions.

Girls' dairy intake, energy intake, and weight status.

We explored the relationships among girls' weight status, dairy servings, and total energy intake. The hypothesis that consuming dairy could reduce risk for overweight was evaluated by comparing energy intake and weight status of girls who met or consumed less than the recommended three servings of dairy per day. Participants included 172 11-year-old non-Hispanic white girls, assessed cross-sectionally. Intakes of dairy, calcium, and energy were measured using three 24-hour recalls. Body mass index and body fat measures from dual-energy x-ray absorptiometry were obtained. Because preliminary analyses suggested systematic underreporting of energy intake, the relationships among dairy servings and measures of weight status were examined for the total sample and for subsamples of under-, plausible, and overreporters. Data for the total sample provided support for the hypothesized relationship among weight status, dairy servings, and energy intake. Thirty-nine percent of girls reported consuming the recommended >/=3 servings of dairy per day; these girls also reported higher energy intake but had lower body mass index z scores and body fat than the girls who consumed fewer than three dairy servings each day. Among plausible reporters, no relationship between dairy intake and weight status was noted. This discrepancy may be attributable to a high percentage (45%) of overweight underreporters in the total sample. Our findings reveal that reporting bias, resulting from the presence of a substantial proportion of underreporters of higher weight status, can contribute to obtaining spurious associations between dairy intake and weight status. These findings underscore the need for randomly controlled trials to assess the role of dairy in weight management.

Comparative strategies for using cluster analysis to assess dietary patterns.

OBJECTIVES: To characterize dietary patterns using two different cluster analysis strategies. DESIGN: In this cross-sectional study, diet information was assessed by five 24-hour recalls collected over 10 months. All foods were classified into 24 food subgroups. Demographic, health, and anthropometric data were collected via home visit. SUBJECTS: One hundred seventy-nine community-dwelling adults, aged 66 to 87 years, in rural Pennsylvania. STATISTICAL ANALYSIS: Cluster analysis was performed. RESULTS: The methods differed in the food subgroups that clustered together. Both methods produced clusters that had significant differences in overall diet quality as assessed by Healthy Eating Index (HEI) scores. The clusters with higher HEI scores contained significantly higher amounts of most micronutrients. Both methods consistently clustered subgroups with high energy contribution (eg, fats and oils and dairy desserts) with a lower HEI score. Clusters resulting from the percent energy method were less likely to differentiate fruit and vegetable subgroups. The higher diet quality dietary pattern derived from the number of servings method resulted in more favorable weight status. CONCLUSIONS: Cluster analysis of food subgroups using two different methods on the same data yielded similarities and dissimilarities in dietary patterns. Dietary patterns characterized by the number of servings method of analysis provided stronger association with weight status and was more sensitive to fruit and vegetable intake with regard to a more healthful dietary pattern within this sample. Public health recommendations should evaluate the methodology used to derive dietary patterns.

Diet quality, added sugar, and dietary fiber intakes in American preschoolers.

PURPOSE: The purpose of this cross-sectional study was to examine the relationship between meeting the intake recommendations for added sugar (AS) and dietary fiber and overall diet quality in American preschoolers from different ethnic backgrounds. METHODS: Data from a nationally representative sample of preschoolers participating in the Continuing Survey of Food Intake by Individuals (CSFII) 1994-1996, and 1998 (n=5,437) were categorized into 3 groups: (1) meeting the recommendation for AS intake (< or = 10% of energy) and dietary fiber (14 g and 20 g in 2- to 3-year-olds and 4- to 5-year-olds, respectively; n=236); (2) meeting only 1 recommendation (n=1,502); and (3) meeting neither (n=3,699). Dietary AS and dietary fiber sources were ascertained. Mean energy intake, nutrient intake, and food group density were established within each category, and student's t test was employed to determine significant differences. Nutrient and food group density was also examined stratified by 4 distinct ethnic groups. RESULTS: Children meeting both recommendations had better diet quality but also higher energy intakes than children meeting only 1 or neither recommendation. CONCLUSION: Most American preschoolers do not meet the dietary intake recommendations for AS and dietary fiber. Health professionals should work together to increase dietary fiber density and reduction of added sugar in the diets of preschoolers to improve diet quality and oral health.

Tanita foot-to-foot bioelectrical impedance analysis system validated in older adults.

Simple, accurate, and noninvasive methods for assessing body composition are needed in many clinical, community, and research settings. The foot-to-foot bioelectrical impedance analysis (BIA) system may be one method of addressing those needs. The objective of this study was to determine the validity of a foot-to-foot BIA system for body-composition assessment of older adults. Subjects 55 years of age or older without functional limitations or cognitive impairments (N=50) were measured using both the Tanita foot-to-foot system (Tanita Corporation of America, Inc, Arlington Heights, IL) and traditional hand-to-foot BIA. The correlation for percent body fat measurements between the Tanita and traditional BIA was r=0.84 (P<.001). Percent body fat estimates from both BIA measures were significantly correlated with waist circumference, body mass index, and age (all P<.01). The Tanita BIA system provides a valid measure of percent body fat in older adults, and could be a convenient and practical approach for assessment in public health settings.

Dietary fiber intake by American preschoolers is associated with more nutrient-dense diets.

OBJECTIVE: To illustrate and discuss implications of the new Diet Reference Intakes for fiber, relative to a nationally representative sample of American preschoolers. DESIGN: Cross-sectional study using the Continuing Survey of Food Intake by Individuals 1994-1996, 1998. SUBJECTS: Children 2 through 5 years of age who provided 2 days of dietary intake data (N=5,437) were grouped and 2- and 3-year-olds (n=2,805) were compared with 4- and 5-year-olds. STATISTICAL ANALYSIS: Descriptive analysis (mean+/-standard error) was used to describe the sample and to rank children into quartiles of dietary fiber intake. Nonparametric test for trend was employed to examine significance level of observed changes in nutrient and food group consumption by increasing fiber intake quartiles. RESULTS: Main contributors to dietary fiber intakes were low-fiber fruits and legumes. Children in the high-fiber quartile consumed diets with higher nutrient and fiber density and increased number of servings of Food Guide Pyramid food groups. Many children in this population did not meet intake recommendations of "age plus five," and most lacked the 14 g/1,000 kcal of energy consumed, even after considering a hypothetical estimated average of 5 g/day functional fiber. CONCLUSIONS: Children would benefit from diets higher in fiber. Newly recommended intake levels are only met by a few and further studies need to be conducted to provide evidence for a recommended intake level of fiber in children. Average consumption of functional fiber in children has to be examined.

Meeting calcium recommendations during middle childhood reflects mother-daughter beverage choices and predicts bone mineral status.

BACKGROUND: Longitudinal data regarding the influence of beverage intakes on calcium adequacy are lacking. OBJECTIVE: This study evaluated calcium intake from ages 5 to 9 y as a function of mother-daughter beverage choices and as a predictor of bone mineral status. DESIGN: Intakes of energy, calcium, milk, sweetened beverages, fruit juices, and non-energy-containing beverages were measured with the use of three 24-h dietary recalls in 192 non-Hispanic white girls aged 5, 7, and 9 y and their mothers. Calcium intakes from ages 5 to 9 y were categorized as either meeting or falling below recommended adequate intakes (AIs). The girls' bone mineral status was assessed with dual-energy X-ray absorptiometry at age 9 y. RESULTS: The mean 5-y calcium intake was related to bone mineral density at age 9 y (beta = 0.27, P < 0.001). The girls who met the AI for calcium were not heavier (P = 0.83) but had higher energy intakes (P < 0.0001) than did the girls who consumed less than the AI. Compared with the girls who consumed less than the AI, the girls who met the AI consumed, on average, almost twice as much milk (P < 0.0001), had smaller decreases in milk intake (P < 0.01), and consumed 18% less sweetened beverages (P < 0.01) from ages 5 to 9 y; the 2 groups did not differ significantly in juice and non-energy-containing beverage intakes. The girls who met the AI were also served milk more frequently than were the girls who consumed less than the AI (P < 0.0001) and had mothers who drank milk more frequently (P < 0.01) than did the mothers of the girls who consumed less than the AI. CONCLUSIONS: These findings provide new longitudinal evidence that calcium intake predicts bone mineral status during middle childhood and reflects mother-daughter beverage choice patterns that are established well before the rapid growth and bone mineralization observed in adolescence.

Nutritional risk assessment and obesity in rural older adults: a sex difference.

BACKGROUND: Many older Americans are overweight or obese, but it is unclear whether obesity is associated with other nutritional risk indicators. OBJECTIVE: This study investigated sex-associated differences in nutritional risk among community-dwelling, rural older adults and determined whether weight status [body mass index (BMI; in kg/m(2)) and waist circumference] was related to other measures of nutritional risk. DESIGN: This cross-sectional study explored relations between weight status and nutritional risk, which was determined on the basis of the Level II Screen, overall diet quality, nutrient intakes, and plasma biomarkers. RESULTS: Of the 179 subjects, 44% were overweight (BMI 25-29.9) and 35% were obese (BMI > 30). There were few differences in nutrient intakes between older men and women after we controlled for energy intake. In women, BMI was directly associated with multiple additional nutritional risk indicators, including the number of Level II items (r = 0.30), intakes of fat (r = 0.26) and saturated fat (r = 0.21), and homocysteine concentration (r = 0.25). Weight status in women was inversely associated with intakes of carbohydrates (r = -0.25), fiber (r = -0.35), folate (r = -0.24), magnesium (r = -0.29), iron (r = -0.22), and zinc (r = -0.23); Healthy Eating Index scores (r = -0.22); and plasma pyridoxal 5' phosphate (r = -0.30). Associations with waist circumference were similar. In men, weight status was associated only with plasma cobalamin (r = -0.33 for BMI) and pyridoxal 5' phosphate (r = -0.24 for waist circumference). CONCLUSIONS: Overweight and obese older women, particularly those living alone, may be at greater nutritional risk than are men with a high BMI. Targeted nutritional intervention emphasizing nutrient-dense food choices to improve dietary patterns may be warranted.

Relative validity of food frequency questionnaire nutrient estimates in the Black Women's Health Study.

PURPOSE: The Black Women's Health Study (BWHS) was designed to investigate determinants of health and disease in US black women. More than 64,000 women are enrolled in the BWHS cohort. This study assessed the relative validity of the 68-item food frequency questionnaire (FFQ) used in the BWHS baseline questionnaire. METHODS: Four hundred and eight BWHS enrollees were asked to provide three telephone, 24-hour recalls and one written 3-day food diary over a one-year period. Means and Pearson correlations were computed to compare estimates for energy, total fat, saturated fat, protein, carbohydrate, dietary fiber, calcium, iron, vitamin C, folate, beta-carotene, and vitamin E from the FFQ, recalls, and diaries. RESULTS: Mean energy intake (kcal) was higher for the diary (1716) than the FFQ (1601) or recalls (1510). Other nutrient estimates (% kcal or per 1000 kcal) were similar across methods, except beta-carotene (FFQ higher). Correlations (energy-adjusted, except for energy, and corrected for intraperson variation) between the FFQ and the recalls were higher than for the diary data and were between 0.5 and 0.8, except for energy and vitamin E (both <0.3). CONCLUSION: The BWHS FFQ will support meaningful analyses of diet-health associations for 10 of the 11 energy-adjusted nutrient intake variables analyzed.

Dehydration in black and white older adults using diuretics.

PURPOSE: To assess the association between dehydration and ethnicity in older adults; and to determine if diuretic use can help explain the disparity between blacks and whites in diagnosis of dehydration. METHODS: We conducted a case-control study in black and white older adults in a pharmaceutical assistance program who were hospitalized during 1997. Cases were all those diagnosed with dehydration (N=9186). Randomly selected controls were 4:1 frequency matched to cases by sex and age group (N(Total)=45585). RESULTS: Patients taking loop, potassium-sparing, thiazide or combination diuretics were more likely to have a diagnosis of dehydration. Dehydration diagnosis was associated with being black (odds ratio (OR)=1.49, 95% confidence interval (CI), 1.36-1.63, p<.001), independent of diuretic use or dosage. That association remained when examining loop (OR=1.36, 95% CI, 1.10-1.63, p<.004) and thiazide diuretic users (OR=1.59, 95% CI, 1.09-2.34, p=.017), but not potassium-sparing or combination diuretic users. CONCLUSION: Diuretic use is significantly associated with dehydration diagnosis, but the greater likelihood of older blacks being diagnosed with dehydration is independent of diuretic use. The increased risk of morbidity and mortality associated with dehydration suggests that further examination of the root cause of this disparity in risk is warranted.

Dietary patterns of rural older adults are associated with weight and nutritional status.

OBJECTIVES: To characterize dietary patterns of rural older adults and relate patterns to weight and nutritional status. DESIGN: Cross-sectional. SETTING: Rural Pennsylvania. PARTICIPANTS: One hundred seventy-nine community-dwelling adults aged 66 to 87 years. MEASUREMENTS: A home visit was conducted to collect demographic, health behavior, and anthropometric data and a blood sample. Five 24-hour dietary recall were administered. Cluster analysis classified participants into dietary patterns using food subgroup servings. Chi-square, analysis of covariance, and logistic regression were used to assess differences across clusters. RESULTS: A low-nutrient-dense cluster (n=107), with higher intake of breads, sweet breads/desserts, dairy desserts, processed meats, eggs, and fats/oils, and a high-nutrient-dense cluster (n=72) with higher intake of cereals, dark green/yellow vegetables, other vegetables, citrus/melons/berries, fruit juices, other fruits, milks, poultry, fish, and beans, were identified. Those in the high-nutrient-dense cluster had lower energy intake; higher energy-adjusted intake of fiber, iron, zinc, folate, and vitamins B(6), B(12), and D; higher Healthy Eating Index scores; higher plasma vitamin B(12) levels; and a lower waist circumference. Those with a low-nutrient-dense dietary pattern were twice as likely to be obese, twice as likely to have low plasma vitamin B(12) levels, and three to 17 times more likely to have low nutrient intake. CONCLUSION: This study provides support for recommending a high-nutrient-dense dietary pattern for older adults. Behavioral interventions encouraging diets characterized by high-nutrient-dense foods may improve weight and nutritional status of older adults.

The quality of girls' diets declines and tracks across middle childhood.

BACKGROUND: Food group intakes by US children are below recommendations and micronutrient inadequacies have been reported. There are few longitudinal data that focus on developmental changes in food and nutrient intake from early to middle childhood. We examined changes in nutrient and food group intakes over time and the tracking of intakes across middle childhood in a longitudinal sample of girls. METHODS: Three multiple-pass 24-hour diet recalls were conducted in a sample of 181 non-Hispanic White girls at ages 5, 7, and 9 years. Food and nutrient data were averaged across 3 days. Analyses of time effects were conducted using repeated measures analysis of variance and tracking of intakes was assessed via rank analysis. RESULTS: We found significant decreases in nutrient densities (intakes per 1000 kcal) of vitamins C and D, calcium, phosphorus, magnesium and zinc at age 9. Girls maintained their relative quartile positions for these micronutrients from ages 5-9. Analysis of food group data showed similar trends. At age 9, significantly fewer girls were meeting the recommendations for dairy, fruit and vegetable servings than at age 5 and girls also tended to remain in their respective quartiles over time, especially for fruit and dairy intakes. CONCLUSIONS: These results highlight the importance of developing healthy eating practices during early childhood when caretakers have considerable control over children's food intake.

Portion size of common foods predicts energy intake among preschool-aged children.

This study evaluated the relationship of food intake behaviors to total energy intake among children aged 2 to 5 years old (N=5447) who participated in the Continuing Survey of Food Intakes by Individuals, 1994-1996, 1998 (CSFII 94-96, 98). Food intake behaviors examined were portion size for 10 commonly eaten foods, number of eating occasions per day, and number of foods consumed per day. Using regression models, we examined these eating behaviors as predictors of energy intakes with adjustment for body weight. Eating behaviors and body weight were positively related to energy intake, together explaining 38% to 39% of the variability. Portion size alone accounted for 17% to 19% of the variance in energy intake, whereas body weight predicted only 4%. Feeding recommendations should highlight the importance of age-appropriate portion sizes and provide guidance on the frequency of eating and number of foods consumed.

Persistent oral health problems associated with comorbidity and impaired diet quality in older adults.

Chewing, swallowing, and mouth pain (CSP) are identified as indicators of nutritional risk in older adults. Previous research has shown that oral health problems in community-living older rural adults were associated with increased hospitalization. The purpose of this study was to characterize older adults with self-reported persistent CSP problems at baseline and one-year follow-up. Participants were from the Geisinger Rural Aging Study, either with persistent oral problems (PCSP; n=22) or without problems (NCSP; n=125). Demographic, health, and anthropometric data were collected via home visit; diet information was assessed by five, 24-hour recalls collected over 10 months. PCSP subjects reported almost twice the number of medications (4.2 vs 2.6, respectively, P=.008) and diseases (7.0 vs 4.2, respectively, P=.001), with higher occurrence of type 2 diabetes mellitus, peptic ulcers/gastritis, and angina. PCSP participants had lower Healthy Eating Index scores (66.6 vs 70.6, respectively, P=.04), significantly lower intakes of vitamin A, and higher prevalence of inadequate intakes of vitamins B-6 and A. These results indicate that impaired intake of certain foods and nutrients is associated with persistent oral health problems. Oral status is an important component of overall health and should be monitored for intervention.