BACKGROUND: Research is limited regarding national patterns of behavioral counseling during ambulatory care. We examined time trends and independent correlates of diet and physical activity counseling for American adults with an elevated cardiovascular risk during their outpatient visits.

METHODS: The National Ambulatory Medical Care Survey (NAMCS) and National Hospital Ambulatory Medical Care Survey (NHAMCS) provided 1992-2000 national estimates of counseling practices in private physician offices and hospital outpatient departments.

RESULTS: Rates of diet and physical activity counseling among visits by at-risk adults exhibited a modest ascending trend from 1992 to 2000, with the biggest growth found between 1996 and 1997. Throughout the 1990s, however, diet counseling was provided in 45% and physical activity counseling in or = 30% of visits by adults with hyperlipidemia, hypertension, obesity, or diabetes mellitus. Lower likelihood of either counseling was significantly associated with patients who were > or = 75 years of age, seen by generalists, and those with fewer risk factors. Also, diet counseling was less frequently provided during visits by whites vs. ethnic minorities and by men vs. women.

CONCLUSIONS: Despite available national guidelines, diet and physical activity counseling remain below expectations during outpatient visits by adults with an elevated cardiovascular risk. Given recent trends, immediate, satisfactory improvement is unlikely without future innovative interventions.

Using data from a survey of deaths of children less than 5 years old conducted in 1997 in a county in Shaanxi Province, China, this paper examines gender differences in child survival in contemporary rural China. First, excess female child mortality in the county in 1994-96 is described, followed by an analysis of the mechanisms whereby the excess mortality takes place, and the underlying social, economic and cultural factors behind it. Excess female child mortality in this county is probably caused primarily by discrimination against girls in curative health care rather than in preventive health care or food and nutrition. Although discrimination occurs in all kinds of families and communities, discrimination itself is highly selective, and is primarily against girls with some specific characteristics. It is argued that the excess mortality of girls is caused fundamentally by the strong son preference in traditional Chinese culture, but exacerbated by the government-guided family planning programme and regulations. This suggests that it is crucial to raise the status of girls within the family and community so as to mitigate the pressures to discriminate against girls in China's low fertility regime. Finally, the possible policy options to improve female child survival in contemporary rural China are discussed.

This paper investigates trends in disability in the U.S. population, particularly among people under age fifty. Even as the elderly have become less disabled, reported disability has risen for younger Americans, especially those ages 30-49. We suggest some possible explanations for rising disability levels, such as obesity, technological advances in medicine, and changing disability insurance laws. Obesity and its attendant disorders seem particularly associated with these trends, although the data are not definitive. Whatever its sources, rising disability among the young could have adverse consequences for public programs such as disability insurance, Medicare, and Medicaid.

Using data from the National Health and Nutrition Examination Survey, we examine the relationship between nutritional status, poverty, and food insecurity for household members of various ages. Our most striking result is that, while poverty is predictive of poor nutrition among preschool children, food insecurity does not provide any additional predictive power for this age group. Among school age children, neither poverty nor food insecurity is associated with nutritional outcomes, while among adults and the elderly, both food insecurity and poverty are predictive. These results suggest that researchers should be cautious about assuming connections between food insecurity and nutritional outcomes, particularly among children.

Objectives The authors sought to determine the effects of cold-weather periods on budgets and nutritional outcomes among poor American families. Methods The Consumer Expenditure Survey was used to track expenditures on food and home fuels, and the Third National Health and Nutrition Examination Survey was used to track calorie consumption, dietary quality, vitamin deficiencies, and anemia. Results Both poor and richer families increased fuel expenditures in response to unusually cold weather. Poor families reduced food expenditures by roughly the same amount as their increase in fuel expenditures, whereas richer families increased food expenditures. Conclusions Poor parents and their children spend less on and eat less food during cold-weather budgetary shocks. Existing social programs fail to buffer against these shocks.

Context Low-carbohydrate diets have been popularized without detailed evidence of their efficacy or safety. The literature has no clear consensus as to what amount of carbohydrates per day constitutes a low-carbohydrate diet.

Objective To evaluate changes in weight, serum lipids, fasting serum glucose, and fasting serum insulin levels, and blood pressure among adults using low-carbohydrate diets in the outpatient setting.

Data Sources We performed MEDLINE and bibliographic searches for English-language studies published between January 1, 1966, and February 15, 2003, with key words such as low carbohydrate, ketogenic, and diet.

Study Selection We included articles describing adult, outpatient recipients of low-carbohydrate diets of 4 days or more in duration and 500 kcal/d or more, and which reported both carbohydrate content and total calories consumed. Literature searches identified 2609 potentially relevant articles of low-carbohydrate diets. We included 107 articles describing 94 dietary interventions reporting data for 3268 participants; 663 participants received diets of 60 g/d or less of carbohydrates—of whom only 71 received 20 g/d or less of carbohydrates. Study variables (eg, number of participants, design of dietary evaluation), participant variables (eg, age, sex, baseline weight, fasting serum glucose level), diet variables (eg, carbohydrate content, caloric content, duration) were abstracted from each study.

Data Extraction Two authors independently reviewed articles meeting inclusion criteria and abstracted data onto pretested abstraction forms.

Data Synthesis The included studies were highly heterogeneous with respect to design, carbohydrate content (range, 0-901 g/d), total caloric content (range, 525-4629 kcal/d), diet duration (range, 4-365 days), and participant characteristics (eg, baseline weight range, 57-217 kg). No study evaluated diets of 60 g/d or less of carbohydrates in participants with a mean age older than 53.1 years. Only 5 studies (nonrandomized and no comparison groups) evaluated these diets for more than 90 days. Among obese patients, weight loss was associated with longer diet duration (P = .002), restriction of calorie intake (P = .03), but not with reduced carbohydrate content (P = .90). Low-carbohydrate diets had no significant adverse effect on serum lipid, fasting serum glucose, and fasting serum insulin levels, or blood pressure.

Conclusions There is insufficient evidence to make recommendations for or against the use of low-carbohydrate diets, particularly among participants older than age 50 years, for use longer than 90 days, or for diets of 20 g/d or less of carbohydrates. Among the published studies, participant weight loss while using low-carbohydrate diets was principally associated with decreased caloric intake and increased diet duration but not with reduced carbohydrate content.

OBJECTIVE: The prevalence of type 2 diabetes, especially in developing countries, has grown over the past decades. We performed a controlled clinical study to determine whether a community-based, group-centered public health intervention addressing nutrition and exercise can ameliorate glycemic control and associated cardiovascular risk factors in type 2 diabetic patients in rural Costa Rica.

RESEARCH DESIGN AND METHODS: A total of 75 adults with type 2 diabetes, mean age 59 years, were randomly assigned to the intervention group or the control group. All participants received basic diabetes education. The subjects in the intervention group participated in 11 weekly nutrition classes (90 min each session). Subjects for whom exercise was deemed safe also participated in triweekly walking groups (60 min each session). Glycosylated hemoglobin, fasting plasma glucose, total cholesterol, triglycerides, HDL and LDL cholesterol, height, weight, BMI, and blood pressure were measured at baseline and the end of the study (after 12 weeks).

RESULTS: The intervention group lost 1.0 +/- 2.2 kg compared with a weight gain in the control group of 0.4 +/- 2.3 kg (P = 0.028). Fasting plasma glucose decreased 19 +/- 55 mg/dl in the intervention group and increased 16 +/- 78 mg/dl in the control group (P = 0.048). Glycosylated hemoglobin decreased 1.8 +/- 2.3% in the intervention group and 0.4 +/- 2.3% in the control group (P = 0.028).

CONCLUSIONS: Glycemic control of type 2 diabetic patients can be improved through community-based, group-centered public health interventions addressing nutrition and exercise. This pilot study provides an economically feasible model for programs that aim to improve the health status of people with type 2 diabetes.

Background: Policy and clinical decisions regarding children's nutrition are often based on dietary intake estimates from self-reports. The accuracy of these estimates depends on memory of both the type of food eaten and the amount consumed. Although children's self-reports of food intake are widely used, there is little research on their ability to estimate food portions.

Objective: To assess the validity of children's estimates of the food portions they consume by means of 2 types of measurement aids: standard 2-dimensional food portion visuals and manipulative props.

Design: Randomized controlled trial.

Participants: Fifty-four African American girls aged 8 to 12 years.

Main Outcome Measures: Girls were served a standard meal and actual intake was assessed by weighing food portions before and after the meal. On completion of the meal, dietitians collected food recalls and portion size estimates from the girls by means of both manipulative props and 2-dimensional food portion visuals, administered in a randomized order.

Results: Absolute value percentage differences between actual and estimated grams of food consumed averaged 58.0% (SD, 102.7%) for manipulative props and 32.8% (SD, 72.8%) for 2-dimensional food portion visuals. Spearman correlations between actual and estimated intakes with both portion size measurement aids were high (range, r = 0.56 to 0.79; all P.001), with the exception of bread intake (r = 0.16, P =.43). Correlations with actual intakes did not differ significantly between the 2 methods.

Conclusions: Children's self-reported portion size estimates are appropriate for ranking children's relative intakes, but they result in sizable errors in quantitative estimates of food and energy intakes. Caution should be used in interpreting quantitative dietary intake estimates derived from children's self-reports.

The case for reduction of air pollution has been predicated primarily on the frequently observed relationship between pollution and mortality and morbidity. Because pollution control usually involves costs, a rational public policy will weigh the benefits against the costs. This study investigates another potential benefit from pollution reduction: namely, decreased use of medical care. We find a strong relationship between particulate matter and inpatient and outpatient care at ages 65-84 across 183 metropolitan statistical areas (MSAs). The relationship is statistically significant at a very high level of confidence even after the region and population size of the areas, education, real income, racial composition, use of cigarettes, and obesity are controlled for.