Attention-deficit/hyperactivity disorder and obesity in US males and females, age 8-15 years: National Health and Nutrition Examination Survey 2001-2004
| dc.contributor.author | Byrd, H. C. Michelle | |
| dc.contributor.author | Curtin, Carol | |
| dc.contributor.author | Anderson, S E. | |
| dc.date | 2022-08-11T08:09:07.000 | |
| dc.date.accessioned | 2022-08-23T16:18:21Z | |
| dc.date.available | 2022-08-23T16:18:21Z | |
| dc.date.issued | 2013-12-01 | |
| dc.date.submitted | 2015-03-30 | |
| dc.identifier.citation | <p>Byrd HC, Curtin C, Anderson SE. Attention-deficit/hyperactivity disorder and obesity in US males and females, age 8-15 years: National Health and Nutrition Examination Survey 2001-2004. Pediatr Obes. 2013 Dec;8(6):445-53. doi: 10.1111/j.2047-6310.2012.00124.x. Epub 2013 Jan 16. PubMed PMID: 23325553; PubMed Central PMCID: PMC3638065. <a href="http://dx.doi.org/10.1111/j.2047-6310.2012.00124.x">Link to article on publisher's site</a></p> | |
| dc.identifier.issn | 2047-6302 (Linking) | |
| dc.identifier.doi | 10.1111/j.2047-6310.2012.00124.x | |
| dc.identifier.pmid | 23325553 | |
| dc.identifier.uri | http://hdl.handle.net/20.500.14038/34796 | |
| dc.description.abstract | WHAT IS ALREADY KNOWN ABOUT THIS SUBJECT: Youth with ADHD may be at increased risk for obesity. Medications used to treat ADHD can affect weight. Few studies have investigated possible gender differences in associations between ADHD and obesity. WHAT THIS STUDY ADDS: Nationally representative of US youth aged 8-15 years. Height and weight were measured, and ADHD assessed by structured diagnostic interview and parent report. Associations between ADHD and obesity are reported for males and females to enable gender comparisons. OBJECTIVE: To investigate how associations between attention-deficit/hyperactivity disorder (ADHD) and obesity differ by gender and medication use in a nationally representative sample of US youth in which height and weight were measured. METHODS: Youth age 8-15 (n = 3050) studied in the National Health and Nutrition Examination Survey 2001-2004. Obesity was defined as >/=95th percentile of US body mass index-for-age reference. ADHD was determined by asking parents if child had been diagnosed and using the Diagnostic Interview Schedule for Children IV. Gender-stratified multivariable logistic regression was used to estimate odds of obesity for youth with ADHD (medicated and unmedicated) relative to youth without ADHD. RESULTS: Males with ADHD who were medicated had lower odds of obesity compared to males without ADHD (adjusted odds ratio [OR] = 0.42, 95% confidence interval [CI] = 0.23-0.78). Unmedicated males with ADHD were as likely as males without ADHD to be obese (adjusted OR = 1.02, 95% CI = 0.43-2.42). The odds of obesity for females taking medication for ADHD did not differ statistically from those of females without ADHD (adjusted OR = 1.21, 95% CI = 0.52-2.81). Females with ADHD not taking medication had odds of obesity 1.54 times those of females without ADHD; however, the 95% CI (0.79-2.98) was wide and not statistically significant at alpha = 0.05. CONCLUSIONS: Associations between ADHD and obesity are influenced by treatment of ADHD with medication and may differ by gender. Youth with ADHD who are not treated with medication are as or more likely than youth without ADHD to be obese. the Study of Obesity. | |
| dc.language.iso | en_US | |
| dc.relation | <p><a href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=pubmed&cmd=Retrieve&list_uids=23325553&dopt=Abstract">Link to Article in PubMed</a></p> | |
| dc.relation.url | http://www.ncbi.nlm.nih.gov/pmc/articles/PMC3638065/ | |
| dc.subject | Adolescent | |
| dc.subject | Attention Deficit Disorder with Hyperactivity | |
| dc.subject | therapy | |
| dc.subject | Body Mass Index | |
| dc.subject | Central Nervous System Stimulants | |
| dc.subject | Child | |
| dc.subject | Cross-Sectional Studies | |
| dc.subject | Female | |
| dc.subject | Humans | |
| dc.subject | Male | |
| dc.subject | Nutrition Surveys | |
| dc.subject | Obesity | |
| dc.subject | Odds Ratio | |
| dc.subject | Prevalence | |
| dc.subject | Risk Factors | |
| dc.subject | United States | |
| dc.subject | adolescent | |
| dc.subject | Attention-Deficit/Hyperactivity Disorder (ADHD) | |
| dc.subject | gender differences | |
| dc.subject | National Health and Nutrition Examination Survey (NHANES) | |
| dc.subject | obesity | |
| dc.subject | Diagnosis | |
| dc.subject | Dietetics and Clinical Nutrition | |
| dc.subject | Gender and Sexuality | |
| dc.subject | Mental Disorders | |
| dc.subject | Nutritional and Metabolic Diseases | |
| dc.subject | Pathological Conditions, Signs and Symptoms | |
| dc.subject | Pediatrics | |
| dc.title | Attention-deficit/hyperactivity disorder and obesity in US males and females, age 8-15 years: National Health and Nutrition Examination Survey 2001-2004 | |
| dc.type | Journal Article | |
| dc.source.journaltitle | Pediatric obesity | |
| dc.source.volume | 8 | |
| dc.source.issue | 6 | |
| dc.identifier.legacycoverpage | https://escholarship.umassmed.edu/iddrc_pubs/16 | |
| dc.identifier.contextkey | 6919877 | |
| html.description.abstract | <p>WHAT IS ALREADY KNOWN ABOUT THIS SUBJECT: Youth with ADHD may be at increased risk for obesity. Medications used to treat ADHD can affect weight. Few studies have investigated possible gender differences in associations between ADHD and obesity.</p> <p>WHAT THIS STUDY ADDS: Nationally representative of US youth aged 8-15 years. Height and weight were measured, and ADHD assessed by structured diagnostic interview and parent report. Associations between ADHD and obesity are reported for males and females to enable gender comparisons.</p> <p>OBJECTIVE: To investigate how associations between attention-deficit/hyperactivity disorder (ADHD) and obesity differ by gender and medication use in a nationally representative sample of US youth in which height and weight were measured.</p> <p>METHODS: Youth age 8-15 (n = 3050) studied in the National Health and Nutrition Examination Survey 2001-2004. Obesity was defined as >/=95th percentile of US body mass index-for-age reference. ADHD was determined by asking parents if child had been diagnosed and using the Diagnostic Interview Schedule for Children IV. Gender-stratified multivariable logistic regression was used to estimate odds of obesity for youth with ADHD (medicated and unmedicated) relative to youth without ADHD.</p> <p>RESULTS: Males with ADHD who were medicated had lower odds of obesity compared to males without ADHD (adjusted odds ratio [OR] = 0.42, 95% confidence interval [CI] = 0.23-0.78). Unmedicated males with ADHD were as likely as males without ADHD to be obese (adjusted OR = 1.02, 95% CI = 0.43-2.42). The odds of obesity for females taking medication for ADHD did not differ statistically from those of females without ADHD (adjusted OR = 1.21, 95% CI = 0.52-2.81). Females with ADHD not taking medication had odds of obesity 1.54 times those of females without ADHD; however, the 95% CI (0.79-2.98) was wide and not statistically significant at alpha = 0.05.</p> <p>CONCLUSIONS: Associations between ADHD and obesity are influenced by treatment of ADHD with medication and may differ by gender. Youth with ADHD who are not treated with medication are as or more likely than youth without ADHD to be obese. the Study of Obesity.</p> | |
| dc.identifier.submissionpath | iddrc_pubs/16 | |
| dc.contributor.department | Shriver Center | |
| dc.contributor.department | Intellectual and Developmental Disabilities Research Center | |
| dc.source.pages | 445-53 |
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Attention Deficit/Hyperactivity Disorder, Screen Time, Physical Activity, and Diet Quality: A DissertationBackground. Emerging evidence suggests that youth with attention deficit/hyperactivity disorder (ADHD) may engage in sub-optimal health behaviors including high levels of screen time, low physical activity participation, and consumption of poor diets. These are independent risk factors for adverse health outcomes, and health-related behavior patterns established in childhood can track into adulthood. Thus, identifying and addressing dietary and physical activity habits in sub-populations of youth have important implications for health over the lifespan. The specific aims of this dissertation were to: (1) compare screen time between youth with and without ADHD and to assess its relationship to ADHD symptomatology; (2) compare participation in physical activity (PA) between adolescents with and without ADHD and to assess the relationship of PA participation to ADHD symptomatology; and (3) evaluate the association of diet quality and dietary patterns to ADHD symptomatology among youth ages 8-15 years. Methods. The aforementioned outcomes of interest were analyzed using data from the continuous National Health and Nutrition Examination Survey (NHANES) 2001-2004. These waves of NHANES included a structured DSM-IV-based interview administered to parents that identified youth with ADHD and also yielded symptom counts for hyperactivity/impulsivity and inattention. Screen time and physical activity data were obtained from questionnaires that queried the amount of time spent watching television, playing videos, or using the computer outside of school time, and also surveyed the types, frequency, and duration of PA in which youth participated. Diet quality and dietary patterns, which included consumption of sugar-sweetened beverages (SSBs), total calorie intake, and eating frequency, were obtained by a 24-hour dietary recall using the Automated Multiple Pass Method of interviewing. Linear and logistic regression models adjusted for sociodemographic factors and anxiety/depression were employed to address the specific aims. Results. The findings suggest that youth with ADHD are at the same, if not higher, risk for engaging in suboptimal health behaviors. Overall, youth participating in NHANES engaged in excessive amounts of screen time, failed to acquire sufficient physical activity, and consumed diets of poor quality. However, our findings suggest that ADHD symptomatology places youth at higher risk for sedentary behavior and poor diet quality. Relative to screen time, youth with ADHD showed a trend toward increased screen time, as did youth who took medication. ADHD symptoms were also associated with over two hours of daily TV viewing and overall increased screen time, and this was particularly true for children ages 8-11 years. Relative to physical activity, the outcomes did not differ between youth with and without ADHD, but the majority of youth did not meet the recommended guidelines of 60 minutes or more of moderate-to-vigorous PA each day. Diet quality was poor across the population of youth who participated in NHANES, and hyperactive/impulsive symptoms were associated with an even greater decrease in diet quality in both children and adolescents. In males, the presence of hyperactive/impulsive symptoms was associated with a decrease in diet quality, whereas in females, inattentive symptoms accounted for a decrease in diet quality. No differences in the other dietary patterns (i.e., SSB consumption, total energy intake, and eating frequency) were observed. Conclusions. The diagnosis of ADHD and/or its symptoms are associated with less-than-recommended levels of screen time and poor diet quality, though youth in general were found to be engaging in suboptimal sedentary, physical activity, and dietary behaviors. The mechanisms for why youth with ADHD may have increased vulnerability to poorer health behaviors are not yet well understood. The findings from this dissertation support the need for ongoing efforts to address lifestyle factors among the nation’s youth generally, but may also stimulate new hypotheses about the needs of youth with ADHD from both public health and clinical perspectives, and encourage research on the implications of ADHD symptomatology on health-related behaviors and lifestyle factors.
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Is a Paleolithic Age Diet an Optimal Diet for Modern Human Beings?Background:For anthropologists and archaeologists, studying and theorizing about what pre-agricultural peoples ate has been of interest for many decades. In 1985, a physician and an anthropologist from Emory University published an article in The New England Journal of Medicine entitled "Paleolithic Nutrition: A Consideration of Its Nature and Current Implications," which brought the issue more into the arena of the healthcare world. This seminal work proposed the following train of logic. Our ancestors developed into uniquely big-brained fully modern Homo sapiens on a hunter-gatherer diet during the Paleolithic Age. Since that time, human genetic composition has changed only insignificantly. For the vast majority of human beings, major modifications in diet and lifestyle occurred during the shift to an agricultural subsistence about ten thousand years ago and then again during the industrialization of the food supply over the past few hundred years. Essentially, modern human beings are programmed genetically for a diet radically different from the diet most modern people consume, both those living a pre-industrial lifestyle and those in modern industrial nations. According to the authors, this disparity in nutrition has had various effects. Many of the chronic degenerative diseases which run rampant in industrialized nations today, such as diabetes, coronary artery disease, stroke, hypertension, and some forms of cancer, result in large part from the discord between the diets that we evolved upon and the diets that we currently consume. The article went on to describe a typical Paleolithic Age diet and compared it to the typical modern American diet, noting areas of greatest and most significant discrepancy. The authors proposed the pre-agricultural diet and lifestyle as a healthy model for modern humans. This view sparked quite a bit of interest and controversy. Some nutrition experts feared that the emphasis on protein and fat in the hunter-gatherer diet would steer consumers away from consumption of beneficial fruits and vegetables and toward higher consumption of saturated fat. Others challenged the view that a pre-agricultural diet might have been a healthy one, even for our ancient ancestors who subsisted upon it. Some felt that such a model could not prove practically useful to modern nutritionists and consumers. Objectives:The authors of the aforementioned article claim that hunter-gatherer lifeways provide a healthy model for modern humans. The purpose of this investigation has been to explore the diet, lifestyle, and health of hunter-gatherers, with the hope of validating or discrediting this claim. A further goal has been to compare and contrast the diet and health of pre-agricultural humans with that of humans in modern industrialized nations, looking at possible connections between dietary differences and health disparities. First, these goals required investigation of the contents of the typical diet of Paleolithic peoples. The next step entailed a review and evaluation of the arguments revolving around the healthfulness of a Paleolithic diet. The final segment took a look at the markers of health in pre-agricultural groups, comparing them to those of the "civilized" world. My overall goal has been to discover widely agreed-upon hypotheses about health and diet in hunter-gatherers and in industrialized societies, allowing development of some generalizations regarding the connections between nutrition and disease in these peoples. Methods:This effort sought to review the major divergent views on the content and significance of a pre-agricultural diet and the possible connections between that diet and the health of its practitioners. This broad topic required reading with breadth but not much depth. The project developed into a literature review on Paleolithic nutrition and health, involving extensive searches of medical and anthropological literature. During the data-gathering phase, I conducted repeated searches of the Medline database through Ovid, each building on the previous search, I utilized Science Citations Index, and I reviewed the lists of cited works in the group of accumulating books and journal articles, looking for relevant citations. These searches focused upon finding a range of views on the following topics: the definition of an optimal diet, the contents of a pre-agricultural human diet, the markers of health in pre-agricultural, agricultural, and modern industrialized societies, and connections between the modern affluent diet and modern health concerns. After completion of data gathering, I reviewed the articles and books to organize the topics they addressed into a topic database. The database served to allow organization of a large amount of information into a research paper format. Results:This research paper found that anthropologists disagreed on many issues related to Paleolithic nutrition and health, but it also discovered concurrence on some major points. Using evidence from comparative anatomy and physiology, from the ancient remains of hunter-gatherers, and from field studies of modern tribes, anthropologists addressing this topic have generally agreed that both ancient and contemporary hunter-gatherers ate diets consisting of uncultivated fruits and vegetables, and wild game, which has a significantly lower fat content than livestock. Protein and fat intake levels varied, contributing a greater percentage of the diet at higher latitudes. Fat intake included more omega three fatty acids than omega six (a reversal of the contemporary pattern), and included no trans fats. Most hunter-gatherers probably ate less saturated fat but about the same amount of cholesterol as modern Americans. They rarely consumed grains and ate no dairy products after weaning. In contrast to the diet of a typical modern industrial nation, this diet provided much more fiber, much less sodium, considerably more vitamins and minerals, and in general consisted of foods with a significantly lower glycemic index. Refined carbohydrates and other "empty calories" did not exist. Many anthropologists writing on this topic agree that our genus (Homo) lived and thrived on a hunter-gatherer diet for the vast majority (over 99%) of our history (10,000 of 2.5 million years). They believe that our proto-human ancestors evolved into big-brained fully modern humans on a diet that included an ever-increasing amount of meat. In fact, brain enlargement and corresponding gastrointestinal tract shrinkage probably depended upon this improving dietary quality. (Dietary quality refers to the nutrient and energy density of a foodstuff; the more kilocalories and higher concentration of nutrients per weight, the higher the dietary quality.) Anthropologists also appear to agree that genetically we have changed very little since the Stone Age. Finally I found wide acceptance of the evidence produced in 20th century field studies with hunter-gatherer tribes which showed a very low occurrence of diabetes, stroke, heart disease, and hypertension in these societies. Conclusions:The research question for this literature review has been: Is a Paleolithic Age diet an optimal diet for modern human beings? The evidence, such as it is, certainly points that way. The evidence doesn't come from randomized clinical trials, but rather from a vast array of anthropological work and medical population studies. For those living a hunter-gatherer lifestyle, obesity was unheard of and diet-related degenerative diseases such as diabetes, coronary artery disease, and stroke were apparently rare. (Their poor life expectancy figures resulted from higher levels of infectious disease and the lack of sophisticated medical understanding and treatment, especially as these factors affected infant mortality.) Although the specific links between diet and the degenerative diseases haven't all been conclusively identified, evidence mounts connecting the consumption of refined carbohydrates and fats (especially trans fats) with obesity, diabetes, coronary heart disease, and stroke. Lack of exercise also plays a key role. For most human beings, caloric intake did not begin to become disconnected from caloric expenditure until the Industrial Revolution. The field of nutrition flames with controversy. The media and medical institutions take evidence from a line of study, draw conclusions, and make recommendations to the public that often are rescinded within ten years, based upon new findings. The public, assailed with contradictory information, becomes confused and skeptical. Meanwhile shoppers are surrounded by thousands of food products, many touting health claims. These products, produced for profit rather than nutritional quality, have become the fruits of the jungle in which we forage. We often find ourselves disconnected from our food sources, separated from ancestral knowledge about food use, and misled by advertising, which has become the new authority on what to eat. In the recent past, final versions of the federal government's published food pyramid have been heavily influenced by the food industry. The FDA cannot always effectively combat one of the wealthiest and most powerful industries in the world. Modern humans cannot and would not return to a hunter-gatherer lifestyle. However, the aspects of that lifestyle that may have resulted in the lack of degenerative disease occurrence in hunter-gatherers could be used as a model for healthful living today. These diet and lifestyle patterns can be emulated and they can point to areas of fruitful nutrition and exercise research. Our modern efforts to define and characterize healthful living could be focused by the utilization of a paradigm such as this. Unsurprisingly, resistance to the use of such a paradigm occurs. Ever since the majority of humans turned away from the hunter-gatherer lifestyle, we have looked down upon it. The general prejudice sees that way of life as primitive, backward, and unpleasant. However, reaching beyond that view, anthropologic investigations have shown that these humans generally had plenty to eat, better health, and less stressful lives with more time for leisure and socializing than we typically enjoy today in western industrialized societies. Perhaps we have been ignoring a vital source of wisdom for how to live a healthy life.
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Accuracy of Dietary Reference Intakes for determining energy requirements in girlsBACKGROUND: The most recent Dietary Reference Intakes (DRIs) (2002) for energy were based on pooled data from convenience samples of individuals with energy expenditure determined by using doubly labeled water (DLW). To our knowledge, the accuracy of these intake estimates has not been assessed in children. OBJECTIVE: We assessed the accuracy of DRI prediction equations for determining daily energy needs in girls by comparing the individual-level prediction of estimated energy requirements with the measured value of total energy expenditure (TEE) from DLW, which is considered the gold standard. DESIGN: In this cross-sectional analysis, we measured the resting metabolic rate (RMR) by using indirect calorimetry and TEE by using DLW in 161 nonobese premenarcheal girls aged 8-12 y. The activity factor TEE/RMR was used to categorize the physical activity level used in DRI equations. RESULTS: We observed a strong linear relation between TEE by using DLW and estimated energy requirements predicted from DRI equations (Pearson's r = 0.78, P < 0.0001, R(2) = 0. 61). The DRI-predicted energy requirements underestimated measured TEE by ~120 kcal on average. The overall mean (+/-SD) error in the sample was -121.3 +/- 163.9 kcal. The average (+/-SD) percentage error in the sample was -5.8 +/- 7.9%. Seventy percent of participants had predicted TEE values < /=10% of measured TEE. CONCLUSIONS: DRI equations for girls predict well for the group. The use of these equations for individuals may result in the underestimation of energy requirements for a significant percentage of girls.
