Self-perceived vs actual and desired weight and body mass index in adult ambulatory general internal medicine patients: a cross sectional study

Perception of a need to change weight in individuals living with and beyond breast, prostate and colorectal cancer: a cross-sectional survey

PURPOSE

People living with and beyond cancer (LWBC) are advised to achieve a body mass index (BMI) within the healthy range (≥ 18.5 and < 25). Not perceiving a need for weight change may be a barrier to achieving a healthy weight. This study aimed to explore factors associated with perceived need for weight change among people LWBC.

METHODS

Adults diagnosed with breast, prostate, or colorectal cancer were recruited through National Health Service sites in Essex and London. Participants (N = 5835) completed the 'Health and Lifestyle After Cancer' survey, which included a question on perceived need to change weight. Associations between perceived need for weight change and BMI, and perceived need for weight change and health and demographic variables, were analyzed using chi-square tests and logistic regression, respectively.

RESULTS

The proportion of participants perceiving a need to lose weight differed according to BMI category: healthy weight (23%), overweight (64%), obese (85%) (P < 0.001). Having overweight or obesity but not perceiving a need to lose weight was associated with being older, male, non-white, not married or cohabiting, and having cancer that had spread, no formal qualifications, no comorbidities, and having received chemotherapy.

CONCLUSIONS

Perceived need to lose weight is prevalent among people LWBC with obesity and overweight. This group may be interested in weight management support. Demographic and health factors were associated with having obesity or overweight but not perceiving a need to lose weight.

IMPLICATIONS FOR CANCER SURVIVORS

Weight loss interventions for people LWBC are needed. A subset of people LWBC with overweight and obesity may need additional information or motivators to engage with weight management.

Discrepancy between Current, Desired, and Ideal Body Mass Index in Persons with Obesity: A Swedish Population-Based Study

INTRODUCTION

Body weight dissatisfaction, when current and desired body mass index (BMI) do not align, is common in persons with obesity. The aim of this cross-sectional study was to explore factors associated with the differences between current and desired BMI, and ideal BMI (defined in the present study as BMI 25 kg/m2), in persons with obesity.

METHODS

Swedish citizens aged 20-64 years residing in the Stockholm County were randomly selected from the population register at five different and evenly separated occasions in the study period 1998-2000 and invited to provide self-reported data about their current weight, height, desired weight, and other characteristics such as depressive symptoms and alcohol intake. Among the 10,441 participants with a mean BMI of 24 kg/m2, differences between desired BMI and ideal BMI were calculated to determine the discrepancy between desired BMI and ideal BMI in participants with obesity (n = 808). The discrepancy between current and desired BMI was also determined. Using linear regression, factors associated with BMI discrepancies were determined.

RESULTS

Persons with BMI <40 kg/m2 desired a lower BMI than those with BMI ≥40 kg/m2 (26 ± 3 vs. 36 ± 14 kg/m2, p < 0.001). Women with obesity (n = 425) had a larger discrepancy between current and desired BMI, 32% ± 16, than men with obesity (n = 380), 24% ± 21 (p < 0.001). Persons with obesity and major depression had a 6.9% (95% CI: 2.5-11.4) larger discrepancy between current and desired BMI than persons with obesity but without major depression. Being born abroad, having a university degree, or hazardous alcohol use were not associated with discrepancy between current and desired BMI or desired BMI and ideal BMI (all p > 0.05).

CONCLUSION

Desired BMI and discrepancies between current, desired, and ideal BMI vary according to current BMI, sex, and presence of major depression. This underscores the significance of a patient-centered approach in the management of obesity, where the goals and needs of each patient should be considered.

The Accuracy of Self-Perception of Obesity in a Rural Australian Population: A Cross-Sectional Study

Introduction:

Obesity is a major public health concern. Accurate perception of body weight may be critical to the successful adoption of weight loss behavior. The aim of this study was to determine the accuracy of self-perception of BMI class.

Methods:

Patients admitted to the acute medical service in one regional hospital completed a questionnaire and classified their weight as: “underweight,” “normal,” “overweight,” or “obese.” Reponses were compared to clinically measured BMIs, based on the WHO Classification. Patients were also questioned about health-related behavior. Data were analyzed via Pearson’s Chi-squared test.

Results:

Almost 70% of the participating patient population (n = 90) incorrectly perceived their weight category, with 62% underestimating their weight. Only 34% of patients who were overweight and 14% of patients with obesity correctly identified their weight status. Two-thirds of patients who were overweight and one-fifth of patients with obesity considered themselves to be “normal” or “underweight.” Patients with obesity were 6.5-fold more likely to misperceive their weight status. Amongst patients with overweight/obesity, those who misperceived their weight were significantly less likely to have plans to lose weight. Almost 60% had not made any recent health behavior changes. This is one of the first regional Australian studies demonstrating that hospitalized patients significantly misperceive their weight.

Conclusion:

Patients with overweight/obesity had significantly higher rates of weight misperception and the majority had no intention to lose weight or to undertake any health behavior modification. Given the association between weight perception and weight reduction behavior, it introduces barriers to addressing weight loss and reducing the increasing prevalence of obesity in rural Australia. It highlights that doctors have an important role in addressing weight misperception.

How long do people stick to a diet resolution? A digital epidemiological estimation of weight loss diet persistence

OBJECTIVE

To use Internet search data to compare duration of compliance for various diets.

DESIGN

Using a passive surveillance digital epidemiological approach, we estimated the average duration of diet compliance by examining monthly Internet searches for recipes related to popular diets. We fit a mathematical model to these data to estimate the time spent on a diet by new January dieters (NJD) and to estimate the percentage of dieters dropping out during the American winter holiday season between Thanksgiving and the end of December.

SETTING

Internet searches in the USA for recipes related to popular diets over a 15-year period from 2004 to 2019.

PARTICIPANTS

Individuals in the USA performing Internet searches for recipes related to popular diets.

RESULTS

All diets exhibited significant seasonality in recipe-related Internet searches, with sharp spikes every January followed by a decline in the number of searches and a further decline in the winter holiday season. The Paleo diet had the longest average compliance times among NJD (5.32 ± 0.68 weeks) and the lowest dropout during the winter holiday season (only 14 ± 3 % dropping out in December). The South Beach diet had the shortest compliance time among NJD (3.12 ± 0.64 weeks) and the highest dropout during the holiday season (33 ± 7 % dropping out in December).

CONCLUSIONS

The current study is the first of its kind to use passive surveillance data to compare the duration of adherence with different diets and underscores the potential usefulness of digital epidemiological approaches to understanding health behaviours.

Misclassification of Self-Reported Body Mass Index Categories

BACKGROUND

Overweight and obesity are an increasingly serious public health problem in Western societies, including Germany. The tendency of overweight and obese people not to classify themselves as such limits the efficacy of information on the health risks of these conditions and lessens the motivation to change behavior accordingly. In this article, we summarize the available study data on the selfperception of weight class. We present and discuss the differences between selfreported body-mass index (BMI) category and the actual category of the BMI when it is calculated from the individual's measured height and weight.

METHODS

We systematically searched the Medline, EMBASE, and Cochrane Library databases in August 2017 for pertinent publications. The study protocol was published in the PROSPERO register (CRD42017064230). Meta-analyses were calculable for a number of subgroup analyses.

RESULTS

A total of 50 studies from 25 countries were identified that contained findings on self-estimation of weight in a total of 173 971 study participants. The percentage of correct self-categorizations of BMI category varied from 16% to 83%, with marked heterogeneity of the population groups studied. In Europe, women overestimated their BMI category three times as often as men (RR: 3.22; 95% confidence interval: [2.87; 3.62], I2 = 0%). Most erroneous classifications were based on underestimates. Study participants of normal weight were more likely than others to categorize their BMI correctly. In European studies, 50.3-75.8% categorized their BMI correctly. Low socioeconomic status was associated with an incorrect perception of BMI.

CONCLUSION

The self-assignment of BMI categories is often erroneous, with underestimates being more common than overestimates. Physicians should take particular care to provide appropriate information to persons belonging to groups in which underestimating one's BMI is common, such as overweight people and men in general.

Weight management perceptions and clinical practices among gynaecology providers caring for reproductive-aged patients

OBJECTIVE

Research suggests that patient and provider conversations about healthy eating and physical activity behaviours may lead to patients' increased health behaviours, access to dietary and physical activity resources, and weight management. The American College of Obstetrics and Gynecology (ACOG) has a number of weight management intervention options, but it is unclear if providers have conversations about intervention options with their patients who are of reproductive age. The purpose of this work was to evaluate the degree to which gynaecology healthcare providers offer the weight management intervention options as recommended by ACOG.

METHODS

Cross-sectional study of gynaecology providers in Southwest Virginia utilizing an electronic survey to identify weight management perceptions and current clinical practices. Responses were measured using quantitative methods, and agreeability and frequency responses were measured using a 5-point Likert scale.

RESULTS

Twenty-three of the 31 eligible providers (74.2%) completed the survey. Providers acknowledge that patients need weight management discussions and they feel comfortable and are willing to have these discussions. While physical activity recommendations were consistent among providers, they did not reflect the complete physical activity recommendations for Americans. Consistency in dietary recommendations was lacking. Although providers make recommendations for physical activity and/or diet at least sometimes, they rarely utilize other methods of weight management as outlined in the ACOG recommendations, such as referrals to other providers, programmes or medications.

CONCLUSIONS

Areas for improvement in weight management practices include frequency of counselling, consistency in dietary counselling and frequency of utilization of weight loss medications and referrals to ancillary services. These results can be used to aid the development of methods for targeting these deficiencies.

Patient perception of obesity versus physician documentation of obesity: A quality improvement study

As the prevalence of obesity increases, the prevalence of associated comorbid diseases, obesity-related mortality rates and healthcare costs rise concordantly. Two main factors that hinder efforts to treat obesity include a lack of recognition by patients and documentation by physicians. This study evaluates the relationship between patient perception of obese weight and physician documentation of obesity. This quality improvement observational study surveyed patients of an academic internal medicine clinic on their perception of obesity. Responses were compared to longitudinal physician documentation of obesity and body mass index (BMI). A total of 59.9% of patients with obesity perceived their weight as obese. While 33.7% of patients with a BMI of 30 to 34.9 kg/m² perceived themselves as having obesity, 71.4% of patients with a BMI of 45 to 49.9 kg/m² perceived themselves as having obesity. A total of 42.4% of patients with obesity had physician documentation of obesity in the last year. While 25% of patients with a BMI of 30 to 34.9 kg/m² had physician documentation of obesity, 85.7% of patients with a BMI of 45 to 49.9 kg/m² had physician documentation of obesity. For patients with a BMI ≥50 kg/m² , 52.9% perceived their weight to be obese and 76.5% had physician documentation of obesity in the last year. Both patient perception and physician documentation of obesity were significantly less than the prevalence of obesity. Patient perception of obesity and provider documentation of obesity increased as BMI increased until a BMI ≥50 kg/m² . Both patients and providers must improve recognition of this disease.

Determinação do estado nutricional: qual o valor de peso e altura autorreferidos?

Introdução: Altas prevalências de sobrepeso e obesidade são descritas em diferentes populações. No entanto, grande parcela da população tem percepções imprecisas sobre seu peso corporal e, consequentemente, sobre a classificação nutricional. Objetivo: Comparar a percepção autorreferida do peso corporal frente à classificação nutricional baseada na aferição realizada por profissional de saúde em amostra representativa da população de cidade de grande porte do sudeste brasileiro. Material e métodos: Foi realizado estudo transversal por inquérito populacional em cidade de médio porte do sudeste brasileiro, sendo a coleta de dados realizada de junho/2014 a abril/2016. Utilizou-se amostragem domiciliar em três estágios e aproximadamente 4.800 domicílios foram visitados, a partir dos quais, 1.032 participantes foram aleatoriamente selecionados e incluídos na pesquisa. Resultados: A média de idade dos participantes foi de 44±13,2 anos, sendo 53,2% indivíduos do sexo feminino. Com base no autorrelato de peso e altura e cálculo do índice de massa corporal (IMC), observou-se que 58,7% da população se encontravam com excesso de peso. Dos 521 indivíduos que foi possível realizar a avaliação do peso e altura por profissionais de saúde vimos que ao se comparar a classificação nutricional baseada no autorrelato com aquela obtida a partir de dados mensurados pelos profissionais, observou-se que o número de casos de obesidade foi 7,1% maior. Conclusão: Diante dos dados do presente estudo, a autopercepção do excesso de peso pode não ser adequada como ferramenta para avaliação de populações em risco para obesidade/sobrepeso, além disso, os resultados reforçam a necessidade de educação sobre o uso do IMC assim como da importância das orientações por profissionais de saúde.

Preconception Lifestyle and Weight-Related Behaviors by Maternal Body Mass Index: A Cross-Sectional Study of Pregnant Women

Obesity is a rising global health challenge, particularly for reproductive-aged women. Our cross-sectional study of pregnant women (n = 223) examined associations between preconception body mass index (BMI) and socio-demographics, weight perceptions and lifestyle behaviors. Over half of women were overweight (33.2%) or obese (22.0%), 49.6% of which perceived their weight as normal. High proportions of women reported planning their pregnancies (70.0%) and were actively trying to lose or maintain their weight preconception (72.7%). Weight management approaches varied from reducing discretionary foods (63.7%) to professional support (8.1%). Obese women had significantly greater odds of reducing discretionary foods (odds ratio (OR) = 6.69 95% confidence interval (CI) 2.13–21.00, p = 0.001) and using structured diets (adjusted odds ratio (AOR) = 9.13 95% CI 2.90–28.81, p < 0.001) compared to normal-weight women. After adjusting for socio-demographics, compared to normal-weight women, overweight (AOR = 5.24 95% CI 2.19–12.56, p < 0.001) and obese (AOR = 2.85 95% CI 1.06–7.67, p = 0.04) women had significantly increased odds of exercising for weight management and significantly lower odds of taking folic-acid preconception (overweight: AOR = 0.40 95% CI 0.18–0.90, p = 0.01, obese: AOR = 0.38 95% CI 0.16–0.91, p = 0.03). Large proportions of women planning a pregnancy have an overweight/obese BMI, with associated suboptimal health behaviors and reduced health professional engagement preconception. Further research exploring women’s perspectives regarding preconception lifestyles is needed to inform effective preconception health promotion strategies.

Accuracy of self-reported heights and weights in a predominately low-income, diverse population living in the USA

OBJECTIVES

This study explored the accuracy of self-reported heights and weights and factors associated with self-reported bias in a diverse American sample.

METHODS

Demographic, self-reported, and measured height and weight data from different studies with the same PI were compiled into one SPSS file and analyzed with paired t-tests to detect differences between self-reported and actual values. Kruskal-Wallis tests followed by pairwise t-tests detected differences among age, ethnicity, sex, income, and education. Stepwise regression analyses were done using anthropometric differences as the dependent variable and age category, sex, and ethnicity as independent variables to explore which variable was most predictive of anthropometric differences.

RESULTS

Individuals over-reported height and under-reported weight leading to an under-calculated BMI from self-reported height and weight by 0.6-1 kg/m² . These under-calculations of BMI led to misclassifications of obesity by 3, 6, 8, and 4% for African American, Euro-American, Native American women, and total women, and by 5, 6, 8, and 8% by African American, Euro-American, Native American men, and total men. Older individuals and males over-reported height more than younger individuals and females. African American females over-reported height to a lesser extent than other ethnicities. Asian males over-reported height to a lesser extent than other ethnicities.

CONCLUSIONS

Self-reported heights and weights lead to invalid results. Most individuals over-report height and under-report weight, resulting in an inaccurate underweight and obesity prevalence. Being misclassified into the incorrect BMI category could result in inappropriate healthcare treatment. Age, ethnicity, and sex appear to influence the misreporting of height and weight.

Fitness versus adiposity in cardiovascular disease risk

Obesity and low cardiorespiratory fitness are both established predictors of cardiovascular disease morbidity and mortality. Whether the protective effects of fitness outweigh the deleterious effects of obesity, however, remains a topic of debate. To extend knowledge of the relative influence of fitness and fatness on cardiovascular disease outcomes, however, attention must be paid to measurement quality. Eliminating inherent bias of self-report and including the highest quality assessments of cardiorespiratory fitness and fatness simultaneously are imperative for head-to-head comparisons. Studies must move beyond body mass index and total body fat percentage to differentiate the heterogenous effects of various adipose tissue depots on cardiovascular risk. Imaging techniques that measure visceral adiposity and other risk-laden ectopic adipose depots while also quantifying cardioprotective adipose depots such as lower body subcutaneous fat and even non-adipose tissues such as skeletal muscle may further illuminate the influence of body composition on cardiovascular health. This review underscores key studies within a large body of literature that provide the foundation for the fit-vs.-fat debate in the context of cardiovascular disease risk, and identifies important considerations for future research.

Current perspective for tube feeding in the elderly: from identifying malnutrition to providing of enteral nutrition

With the number of individuals older than 65 years expected to rise significantly over the next few decades, dramatic changes to our society and health care system will need to take place to meet their needs. Age-related changes in muscle mass and body composition along with medical comorbidities including stroke, dementia, and depression place elderly adults at high risk for developing malnutrition and frailty. This loss of function and decline in muscle mass (ie, sarcopenia) can be associated with reduced mobility and ability to perform the task of daily living, placing the elderly at an increased risk for falls, fractures, and subsequent institutionalization, leading to a decline in the quality of life and increased mortality. There are a number of modifiable factors that can mitigate some of the muscle loss elderly experience especially when hospitalized. Due to this, it is paramount for providers to understand the pathophysiology behind malnutrition and sarcopenia, be able to assess risk factors for malnutrition, and provide appropriate nutrition support. The present review describes the pathophysiology of malnutrition, identifies contributing factors to this condition, discusses tools to assess nutritional status, and proposes key strategies for optimizing enteral nutrition therapy for the elderly.

Community BMI Surveillance Using an Existing Immunization Registry in San Diego, California

This study examines the demographic representativeness of the County of San Diego Body Mass Index (BMI) Surveillance System to determine if the BMI estimates being obtained from this convenience sample of individuals who visited their healthcare provider for outpatient services can be generalized to the general population of San Diego. Height and weight were transmitted from electronic health records systems to the San Diego Immunization Registry (SDIR). Age, gender, and race/ethnicity of this sample are compared to general population estimates by sub-regional area (SRA) (n = 41) to account for regional demographic differences. A < 10% difference (calculated as the ratio of the differences between the frequencies of a sub-group in this sample and general population estimates obtained from the U.S. Census Bureau) was used to determine representativeness. In 2011, the sample consisted of 352,924 residents aged 2-100 years. The younger age groups (2-11, 12-17 years) and the oldest age group (≥65 years) were representative in 90, 75, and 85% of SRAs, respectively. Furthermore, at least one of the five racial/ethnic groups was represented in 71% of SRAs. This BMI Surveillance System was found to demographically represent some SRAs well, suggesting that this registry-based surveillance system may be useful in estimating and monitoring neighborhood-level BMI data.

The effect of a medical opinion on self-perceptions of weight for Mexican adults: perception of change and cognitive biases

BACKGROUND

This study analysed the relationship between perceived and actual Body Mass Index (BMI) and the effect of a prior identification of obesity by a medical professional for adults using difference in response for two distinct BMI self-perception questions. Typically, self-perception studies only investigate the relation with current weight, whereas here the focus is on the self-perception of weight differences.

METHODS

A statistical approach was used to assess responses to the Mexican ENSANUT 2006 survey. Adults in the range of BMI from 13 to 60 were tested on responses to a categorical question and a figure rating scale self-perception question. Differences in response by gender and identification of obesity by a medical professional were analysed using linear regression.

RESULTS

Results indicated that regardless of current BMI and gender, a verbal intervention by a medical professional will increase perceived BMI independently of actual BMI but does not necessarily make the identified obese more accurate in their BMI estimates. A shift in the average self-perception was seen with a higher response for the identified obese. A linear increase in perceived BMI as a function of actual BMI was observed in the range BMI < 35 but with a rate of increase much less than expected if weight differences were perceived accurately.

CONCLUSIONS

Obese and overweight Mexican adults not only underestimated their weight, but also, could not accurately judge changes in weight. For example, an increase of 5 kg is imagined, in terms of self-image, to be considerably less. It was seen that an identification of obesity by a health care professional did not improve ability to judge weight but, rather, served as a new anchor from which the identified obese judge their weight, suggesting that even those identified obese who have lost weight, perceive their weight to be greater than it actually is. We believe that these results can be explained in terms of two cognitive biases; the self-serving bias and the anchoring bias.

An Analysis of Real, Self-Perceived, and Desired BMI: Is There a Need for Regular Screening to Correct Misperceptions and Motivate Weight Reduction?

We study the relationship among real, self-perceived, and desired body mass index (BMI) in 21,288 adults from the Mexican National Health and Nutrition Survey 2012, analyzing the effect of sex and diagnosis of obesity/overweight by a healthcare professional. Self-perceived and desired BMI are analyzed via a figure rating scale question and compared to real BMI. Only 8.8 and 6.1% of the diagnosed and non-diagnosed obese, respectively, correctly identify themselves as such. For the obese, 20.2% of non-diagnosed and 12.7% of diagnosed perceive themselves as normal or underweight, while 49.1 and 37% of these are satisfied with their perceived BMI. Only 7.8% of the obese, whose real and perceived BMI coincide, have a desired BMI equal to their perceived one. In contrast, 43.2% of the obese, whose perceived BMI is normal, have a desired BMI the same as their perceived one. Although the average desired body figure corresponds to the normal BMI range, misperceptions of BMI correlate strongly with the degree of satisfaction associated with perceived BMI, with larger misperceptions indicating a higher degree of satisfaction. Hypothesizing that the differences between real, perceived, and desired weight are a motivator for weight change, one potential intervention could be the periodic assessment of real, perceived, and desired BMI in order to correct misleading weight misperceptions that could potentially obstruct positive behavioral change.

Discrepancy between Actual and Perceived Weight Status in Rural Patients: Variations by Race and Gender

The study's goal was to determine if differences in weight misperception by race and/or gender occur within a sample of economically disadvantaged rural patients with diabetes and/or hypertension. Diabetic and hypertensive patients were enrolled in the study from a network of federally qualified health centers (FQHCs) in the rural South. Multivari-ate logistic regression analysis suggests that, even when controlling for age, education level, employment status, and poverty, rural African American patients with chronic disease are more likely than their White counterparts to misperceive their weight status (OR = 1.709, p = .037). This difference in perceived weight occurred despite the absence of an underlying difference in actual weight status between African American and White patients (p = .171). In addition, rural men were much more likely than rural women to misperceive their weight status (OR = 2.688, p < .001). Implications for intervention development and implementation are discussed.

Substituting sugar confectionery with fruit and healthy snacks at checkout - a win-win strategy for consumers and food stores? a study on consumer attitudes and sales effects of a healthy supermarket intervention

Background

The widespread use of in-store marketing strategies to induce unhealthy impulsive purchases has implications for shopping experience, food choice and possibly adverse health outcomes. The aim of this study was to examine consumer attitudes and evaluate sales effects of a healthy checkout supermarket intervention. The study was part of Project Sundhed & Lokalsamfund (Project SoL); a Danish participatory community-based health promotion intervention.

Methods

Consumer attitudes towards unhealthy snack exposure in supermarkets were examined in a qualitative pre-intervention study (29 short in-store interviews, 11 semi-structured interviews and three focus group interviews). Findings were presented to food retailers and informed the decision to test a healthy checkout intervention. Sugar confectionery at one checkout counter was substituted with fruit and healthy snacking items in four stores for 4 weeks. The intervention was evaluated by 48 short exit interviews on consumer perceptions of the intervention and by linear mixed model analyses of supermarket sales data from the intervention area and a matched control area.

Results

The qualitative pre-intervention study identified consumer concern and annoyance with placement and promotion of unhealthy snacks in local stores. Store managers were willing to respond to local consumer concern and a healthy checkout intervention was therefore implemented. Exit interviews found positive attitudes towards the intervention, while intervention awareness was modest. Most participants believed that the intervention could help other consumers make healthier choices, while fewer expected to be influenced by the intervention themselves. Statistical analyses suggested an intervention effect on sales of carrot snack packs when compared with sales before the intervention in Bornholm control stores (P < 0.05). No significant intervention effect on sales of other intervention items or sugar confectionery was found.

Conclusions

The present study finds that the healthy checkout intervention was positively evaluated by consumers and provided a ‘responsible’ branding opportunity for supermarkets, thus representing a win-win strategy for store managers and consumers in the short term. However, the intervention was too modest to draw conclusions on long-term sales and health implications of this initiative. More research is needed to assess whether retailer-researcher collaborations on health promotion can be a winning strategy for public health.

Nutritional Assessment in Primary Care

Alterations in nutritional status are common and can be associated with increased morbidity and mortality. However, for healthcare providers, the definition of malnutrition is vague, insensitive, and poorly standardized. In contrast, nutrition risk is more easily defined, and recognizes that both poor nutritional status and disease severity contribute to increased morbidity and mortality. Clinicians need to identify patients who may already have evidence of nutrient deficiencies or have disease processes that affect nutrition risk. This article reviews risk assessment tools and provides practical tips to screen patients and identify those whose nutrition risk warrants specialized nutrition therapy.