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History Taking in Obesity Medicine: A Comprehensive Guide

Editor: Sharon F. Daley Updated: 8/17/2025 3:17:39 PM

Introduction

Obesity Overview

Obesity is a complex, multifactorial chronic disease characterized by the excessive accumulation of adipose tissue that impairs health and quality of life. The prevalence of obesity among adults in the United States was 40.3% from August 2021 to August 2023, with severe obesity, ie, body mass index (BMI) of 40 kg/m²or greater, affecting 9.4% of adults.[1] Among children and adolescents aged 2 to 19 years, obesity prevalence increased from 19.7% (2017–2020) to 21.1% (2021–2023), representing approximately 14.7 million youth.[1] Obesity is recognized as an adiposity-based chronic disease requiring comprehensive medical evaluation and evidence-based treatment approaches.[2] The pathophysiology involves dysregulation of energy homeostasis through complex interactions between genetic predisposition, environmental factors, hormonal influences, and behavioral patterns.

Clinical Significance and Board Review Key Points

The foundation of effective obesity management begins with structured, comprehensive history-taking that serves multiple critical functions. A thorough medical history should be obtained to assess the various determinants of obesity, including dietary and physical activity patterns, psychosocial factors, weight-gaining medications, and familial traits (see Table 1).[3] Please see StatPearls' companion resource, "Evaluation of Patients With Obesity", for further information. 

Table 1. Functions of Comprehensive History-Taking in Obesity Medicine

Diagnostic Framework

Body mass index classification + complication assessment

Establishes disease severity and treatment intensity

Etiologic Assessment

Identifies secondary causes

Guides targeted interventions

Complication Screening

Multi-system evaluation

Prioritizes treatment approaches

Treatment Planning

Lifestyle, behavioral, psychosocial assessment

Informs intervention selection

Therapeutic Alliance

Patient-centered approach

Reduces bias, improves adherence

Function

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Function

Clinical Framework for Obtaining a Weight History

A detailed weight history provides context for the development and progression of weight gain, helping to identify pivotal events or triggers that may have contributed to the onset or exacerbation of obesity (see Table 2).[4] Weight cycling—repeated episodes of weight loss and regain—is a critical element to explore and may be associated with adverse metabolic or psychological effects.[5]

Table 2. Essential Components of a Weight History

Temporal Assessment
  • Age of onset of overweight or obesity
  • Weight trajectory over time
  • Identifiable life events associated with weight changes
  • Highest and lowest adult weights
Life Event Correlations
  • Puberty, pregnancy, and menopause
  • Bereavement, trauma, and significant life changes
  • Medication changes
  • Medical diagnoses
Weight Cycling Assessment
  • Previous weight loss attempts
  • Success/failure patterns
  • Commercial versus medical programs
  • Psychological impact of cycling

Assessment tools and methods

Clinicians should assess a patient's comprehensive obesity history using validated screening tools, including weight trajectory, nutrition patterns, eating behaviors, physical activity levels, sleep quality, medication effects, neuropsychiatric status, and social determinants of health (see Table 3).

Table 3. Weight History Assessment Methods

Weight Graphs/Charts

Visual trajectory plotting

Identifies patterns and triggers

Growth Charts (Pediatric)

Percentile tracking

Assesses adiposity rebound timing

Family History Assessment

Genetic predisposition evaluation

Identifies monogenic/syndromic risks

Psychosocial Evaluation

Motivation and readiness assessment

Guides intervention planning

Pediatric considerations

Clinicians should consider the concept of adiposity rebound. The age at which BMI begins to increase after reaching its lowest point in early childhood can predict future risk of obesity.[6] Early adiposity rebound (before age 5) is associated with increased obesity risk in adulthood.[6]

Key assessment questions

Inquiries regarding a patient's weight trajectory should include:

  • "What was your highest and lowest adult weight?"
  • "What do you perceive as your healthiest weight, and why?"
  • "Have there been periods of unintentional weight loss or rapid gain?"

Examples of questions regarding a patient's weight loss history include:

  • "Tell me about your previous weight loss attempts."
  • "What strategies worked best for you in the past?"
  • "What led to weight regain after successful attempts?"
Pause and Reflect

A 45-year-old woman presents with a current BMI of 35 kg/m². She reports that her weight was "normal" until 30, when she gained 20 kg over 2 years following her divorce. She has tried "every diet," including Weight Watchers (lost 15 kg, regained 20 kg), Atkins (lost 10 kg, regained 12 kg), and a medically supervised program (lost 25 kg, regained 30 kg over 3 years).

  • How would you assess her weight cycling pattern?
  • What psychological factors might be contributing?
  • How would this history influence your approach to treatment?
  • What information about family history would be most relevant?

Comprehensive Nutrition Assessment Clinical Framework 

A comprehensive nutrition history explores patterns, quality, quantity, timing, emotional context, and socioeconomic influences on dietary intake, while identifying barriers to dietary change. Diet is a major lifestyle-related risk factor for various chronic diseases, and dietary intake can be assessed through subjective reports and objective observations (see Table 4).[7]

Table 4. Nutrition History Assessment Methods

Primary Assessment Tools
  • 24-hour dietary recall: Detailed previous day intake
  • Food frequency questionnaires: Usual intake patterns
  • 3-Day food diaries: Two weekdays + one weekend
  • ASA24 (National Institutes of Health tool): Web-based standardized collection
Supplementary Assessments
  • MyPlate framework: Visual portion guidance
  • Traffic light diet model: Color-coded food classification
  • Cultural and religious considerations: Dietary restrictions and practices

Structured nutritional assessment components 

Nutrition assessment domains provide a structured approach to evaluating dietary behaviors and influences that impact health outcomes (see Table 5).

Table 5. Nutrition Assessment Domains

Meal Structure

Timing, consistency, and environment

Eating patterns and habits

Food Quality

Ultra-processed versus whole foods

Nutritional density assessment

Portion Assessment

Serving sizes, frequency

Caloric intake estimation

Cultural Factors

Religious, ethnic, and socioeconomic influences

Personalized intervention planning

Barriers Assessment

Food insecurity, access, and preparation skills

Feasibility of recommendations

Validated nutritional screening tools

Food frequency questionnaires (FFQs) have been used to measure dietary change in dietary intervention trials and provide a reliable assessment of usual intake over time (see Table 6).[Nutrition in the Prevention and Treatment of Disease] Each method has inherent strengths and limitations, requiring careful selection based on the study objectives and population characteristics.[8]

Table 6. Quick Nutrition Assessment Tools

REAP (Rapid Eating Assessment for Participants)
  • Quick dietary quality screening
  • 13-item questionnaire
  • Validated for clinical use
Starting the Conversation
  • 8-item dietary assessment
  • Focus on behavior change readiness
  • Suitable for brief encounters
Harvard Willett Food Frequency Questionnaire
  • Comprehensive dietary assessment
  • Research-validated
  • Detailed nutrient analysis capability

Special Considerations

Other nutritional factors that contribute to obesity that should be assessed include:

  • Food insecurity screening
    • Limited access to nutritious food
    • Compensatory behaviors (binge eating, high-calorie shelf-stable items)
    • Impact on the feasibility of dietary recommendations
  • Ultra-processed food assessment
    • Consumption of packaged snacks, sugary beverages, and fast food
    • Restaurant meal frequency
    • Vending machine use patterns

Sample Assessment Questions

The following questions are examples of how clinicians should evaluate dietary behaviors and influences that impact health outcomes:

  • Meal Patterns
    • "Describe a typical day of eating from when you wake up to bedtime."
    • "How often do you eat meals at regular times?"
    • "Do you typically eat while watching TV or at a table?"
  • Food Quality and Quantity
    • "How often do you drink sugary beverages or juice?"
    • "What types of snacks do you usually choose?"
    • "How many meals per week do you eat at restaurants or from takeout?"
  • Barriers
    • "What makes it difficult to eat healthy foods?"
    • "Do you ever worry about having enough food for your family?"
    • "Who typically shops for and prepares food in your household?"
Pause and Reflect

A 38-year-old single mother of 2 works 2 part-time jobs. Her 24-hour recall reveals that she skipped breakfast, followed by a fast-food lunch, dinner from a convenience store, and late-night snacking while watching TV. She reports "no time to cook" and "healthy food is too expensive."

  • What are the primary nutritional concerns in this case?
  • How would you assess the risk of food insecurity?
  • What realistic interventions could you suggest?
  • Which assessment tools would be most appropriate for follow-up?

Comprehensive Eating Behavior Assessment

Eating behavior history captures how individuals relate to food and identifies patterns that may contribute to weight gain, treatment resistance, or emotional distress. Understanding the why, when, and how of eating is equally important to what is consumed (see Table 7).[9] Binge-eating disorder and night-eating syndrome are 2 forms of disordered eating associated with overweight and obesity.[10]

Table 7. Core Eating Behavior Historical Domains

Eating Patterns
  • Frequency and regularity of meals
  • Snacking patterns and timing
  • Night eating behaviors
Eating Triggers
  • Emotional states (eg, stress, boredom, and sadness)
  • Environmental cues (eg, television and social situations)
  • Physiological versus nonphysiological hunger
Control and Satiety
  • Episodes of loss of control
  • Recognition of hunger and fullness cues
  • Eating past satiation

Validated Assessment Tools

Several scales and screening tools help clinicians assess patient eating behaviors (see Table 8).

Table 8. Eating Behavior Assessment Tools

Binge Eating Scale 

Adults

Binge episode severity

Treatment planning, referral decisions

Eating Disorder Examination–Questionnaire

Adults/Adolescents

Restraint, eating concern, shape/weight concern

Comprehensive eating disorder screening

Emotional Eating Scale 

Adults

Emotion-triggered eating patterns

Behavioral intervention targeting

Child Eating Behavior Questionnaire  

Children

Appetite traits, food responsiveness

Pediatric intervention planning

Eating disorder screening

Additionally, clinicians should evaluate potential comorbid eating disorders when obtaining an eating disorder history (see Table 9). Please see StatPearls' companion resources, "Binge Eating Disorder," "Bulimia Nervosa," and "Anorexia Nervosa," for further information on diagnostic criteria and assessment approaches.

Table 9. Critical Eating Disorder Screening

Binge Eating Disorder Criteria
  • Recurrent episodes of eating large amounts when not hungry
  • Eating rapidly, until uncomfortably full
  • Eating alone due to embarrassment
  • Feeling disgusted, depressed, or guilty after overeating
  • Distress regarding binge eating
Night Eating Syndrome Features
  • Evening hyperphagia (≥25% of daily intake after dinner)
  • Nocturnal awakening with eating episodes
  • Morning anorexia
  • Depressed mood in the evening

Pediatric considerations

In pediatric populations, parental feeding styles should also be assessed, including:

  • Pressure to eat patterns
  • Food restriction behaviors
  • Using food as a reward/comfort
  • Family meal environment
  • Modeling of eating behaviors

Assessment questions framework

The following questions are examples of eating behavior clinical evaluation:

  • Eating Patterns
    • "Do you eat at regular meal times, or do you graze throughout the day?"
    • "Tell me about your eating after dinner and before bed."
    • "How often do you eat when you're not physically hungry?"
  • Emotional Eating
    • "Do you eat when stressed, bored, or upset?"
    • "How do you feel emotionally after eating large meals?"
    • "Do you ever eat secretly or feel ashamed about your eating?"
  • Control and Triggers
    • "Have you ever felt you couldn't stop eating once you started?"
    • "What situations or feelings trigger you to eat more than planned?"
    • "Do you notice when you're getting full during meals?"
Pause and Reflect

A 32-year-old teacher reports eating "normally" during school days but having episodes 2 to 3 times per week where she eats large amounts of food rapidly while watching TV, feeling "out of control." She feels guilty and depressed afterward and has tried to diet multiple times, but "always fails."

  • What eating disorder screening tools would be most appropriate?
  • How would you assess the severity and impact of these episodes?
  • What treatment referrals might be indicated?
  • How would this history influence weight management approaches?

Comprehensive Physical Activity Assessment

A thorough physical activity history helps identify the role of movement in current health status, uncovers barriers to exercise, and guides realistic goal setting. Physical inactivity is an independent risk factor for obesity, cardiovascular disease, and type 2 diabetes, whereas regular physical activity improves weight regulation, insulin sensitivity, and mental health.[11]

The Frequency, Intensity, Time, Type, Enjoyment assessment framework

This assessment offers a comprehensive method for evaluating physical activity patterns by examining the following 5 key elements:

  • Frequency (F): This refers to the number of days per week a person engages in physical activity, providing insight into the consistency of their exercise habits.
  • Intensity (I): This assesses the level of effort involved, categorizing activity as light, moderate, or vigorous, which helps determine the physical demand and appropriateness of the activity for the individual's fitness level and health status.
  • Time (T): This focuses on the duration of each exercise session, contributing to the overall volume of physical activity.
  • Type (T): This distinguishes among different forms of activity, including aerobic exercise, resistance training, flexibility exercises, and lifestyle movements, enabling a more comprehensive view of an individual's routine.
  • Enjoyment (E): This evaluates the individual's preferences and the sustainability of the activity over time, ensuring that recommended physical activities align with personal interests and are likely to be maintained.

These FITT-E components support a tailored and practical approach to assessing and planning physical activity.

Activity assessment domains

Activity assessment domains provide a structured approach to evaluating physical activity behaviors and influences that impact health outcomes (see Table 10).

Table 10. Physical Activity Assessment Components

Occupational Activity

Work-related movement, sitting time

Daily energy expenditure baseline

Leisure-Time Activity

Recreational sports, exercise, hobbies

Voluntary movement patterns

Transportation Activity

Walking or cycling for daily tasks

Lifestyle integration opportunities

Household Activity

Cleaning, gardening, and child care

Incidental movement assessment

Screen Time

TV, computer, and mobile device use

Sedentary behavior quantification

Validated assessment tools

Screening tools have been developed to help clinicians assess a patient's physical activity (see Table 11)

Table 11. Physical Activity Assessment Tools

International Physical Activity Questionnaire
  • Adult and adolescent versions available
  • Calculates the metabolic equivalent of task, MET, minutes per week
  • Short and long forms
Godin Leisure-Time Exercise Questionnaire
  • Brief, easy to administer
  • Focus on voluntary exercise
  • Good for clinical settings
Youth Risk Behavior Surveillance
  • School-aged children assessment
  • Includes screen time evaluation
  • Population health monitoring
American Heart Association/Centers for Disease Control and Prevention Physical Activity Guidelines
  • Adults: 150 minutes/week moderate activity OR 75 minutes vigorous activity plus 2 strength-training days per week
  • Children: 60 minutes of daily physical activity

Barriers to Physical Activity Assessment Framework

Clinicians should identify common obstacles that hinder a patient's consistent engagement in exercise, as recognizing these barriers supports the development of more personalized and achievable physical activity recommendations. Common activity barriers include:

  • Time constraints and scheduling challenges
  • Lack of safe exercise environments
  • Chronic conditions (arthritis, asthma, pain)
  • Low self-efficacy and fear of injury
  • Depression, fatigue, or low motivation
  • Financial constraints and equipment access
  • Weather and seasonal limitations

Special population considerations

The following tailored physical activity recommendations should be utilized for special populations:

  • Adults with obesity
    • Start with low-impact activities such as water aerobics, stationary cycling, or walking.
    • Encourage a gradual progression approach.
    • Focus on sustainability over intensity.
  • Pediatric populations
    • Structured (physical education, sports) vs unstructured (active play) activity
    • Screen time limitations (<2 hours recreational)
    • Family activity involvement
    • Safety and supervision considerations

Physical activity assessment questions

The following questions are examples of how clinicians can evaluate the various components of physical activity:

  • Current activity patterns
    • "What types of physical activity do you currently do?"
    • "How many hours per day do you spend sitting?"
    • "What movement or exercise do you enjoy most?"
  • Barriers and limitations
    • "What prevents you from being more physically active?"
    • "Have injuries or health conditions limited your activity?"
    • "What would help you move more throughout the day?"
  • Goal setting
    • "What physical activities would you like to try or return to?"
    • "How could you integrate more movement into your daily routine?"
    • "What would be a realistic first step for increasing your activity level?"
Pause and Reflect

A 55-year-old office manager with knee osteoarthritis reports sitting 8 to 10 hours daily at work and watching television for 3 to 4 hours nightly. He used to play basketball but stopped 5 years ago due to knee pain. He is interested in being more active, but injury worries and is unsure where to start.

  • How would you assess his current activity level using the FITT-E model?
  • What are the primary barriers to address?
  • What low-impact activities might be appropriate to recommend?
  • How would you structure a realistic activity progression plan?

Sleep Assessment in Weight Management

A sleep history assessment is critical to a comprehensive weight management evaluation, given the bidirectional relationship between sleep disturbances and obesity.[12] Poor sleep quality and quantity are associated with an increased risk of weight gain, metabolic dysfunction, and difficulty maintaining weight loss.[13] Research demonstrates that a sleep duration of less than 7 or more than 9 hours increases obesity risk.[14] Please see StatPearls' companion resource, "Sleep Disorder," "Obstructive Sleep Apnea", for further information on sleep disorder evaluation. 

Core sleep history components include:

  • Sleep duration and quality
    • Weeknight versus weekend sleep duration
    • Sleep onset latency and night awakenings
    • Subjective sleep quality assessment
    • Morning restoration and fatigue
  • Sleep hygiene assessment
    • Sleep environment (eg, temperature, darkness, and noise)
    • Presleep behaviors (eg, caffeine, alcohol, and screens)
    • Sleep routine consistency
    • Weekend versus weekday patterns

Sleep assessment tools

The combination of validated screening questionnaires comprehensively evaluates sleep in obesity medicine practice (see Table 12).[15]

Table 12. Sleep Assessment Tools

Epworth Sleepiness Scale 

8 situations, likelihood of dozing

0–24 points

≥11 = high sleepiness risk, ≥16 = pathological

STOP-BANG

Snoring, tiredness, observed apnea, blood pressure, BMI, age, neck, sex

0–8 points

≥3 = high OSA risk, ≥5 = very high OSA risk

Pittsburgh Sleep Quality Index 

7 components over 1 month

0–21 points

>5 = poor sleep quality

Shift work and circadian assessment

Shift work sleep disorder affects 10% to 20% of people who work nontraditional shifts and is strongly associated with weight gain and metabolic dysfunction (see Table 13).[16] Night shift workers have 20% to 40% higher rates of obesity and diabetes compared to day workers.[17]

Table 13. Shift Work Sleep Disorder Screening

Work Schedule Assessment
  • Type of shift work (eg, night, rotating, and irregular)
  • Duration of current schedule
  • Recovery time between shifts
  • Sleep timing on work versus non-work days
Health Impact Indicators
  • Weight changes since starting shift work
  • Excessive sleepiness during work
  • Difficulty sleeping during designated times
  • Caffeine/stimulant dependence patterns

Sleep-weight relationship key points

The following factors should be kept in mind by clinicians when managing obesity cases:

  • Hormonal impacts
    • Poor sleep results in reduced leptin (satiety hormone).
    • Poor sleep results in increased ghrelin (ie, hunger hormone).
    • Circadian disruption leads to insulin resistance.
    • Sleep debt results in cortisol elevation.
  • Obstructive sleep apnea-obesity bidirectional relationship
    • Obstructive sleep apnea (OSA) prevalence is approximately 10% in the general population, and greater than 70% in individuals with severe obesity.
    • Weight loss of 10% results in a 26% decrease in Apnea-Hypopnea Index.
    • OSA treatment improves metabolic parameters.

Clinical assessment questions

Examples of clinical assessment questions to evaluate sleep behavior components include:

  • Sleep pattern assessment
    • "How much sleep do you get on weeknights versus weekends?"
    • "How long does it take you to fall asleep?"
    • "Do you wake up during the night? How often and for how long?"
  • Sleep quality indicators
    • "How would you rate your sleep quality on a scale of 1 to 10?"
    • "Do you feel rested when you wake up?"
    • "Do you snore, or has anyone observed you stopping breathing during sleep?"
  • Shift work impact
    • "Has your weight changed since starting shift work?"
    • "Do you use caffeine or stimulants to stay alert during work?"
    • "How do you feel during your days off compared to work days?"
Pause and Reflect

Maria, a 45-year-old intensive care unit nurse, presents for weight management consultation. She works rotating 12-hour shifts (3 days, 3 nights, then 4 days off) and reports difficulty losing weight despite following a 1,500-calorie diet for 6 months. Her BMI is 32 kg/m², her blood pressure is 138/85 mm Hg, and she reports experiencing loud snoring. She drinks 4 to 5 cups of coffee daily and has wine "to help sleep" after night shifts. Her husband reports that she stops breathing during sleep. STOP-BANG score: 6/8, Epworth Sleepiness Scale score: 16/24, Pittsburgh Sleep Quality Index score: 12/21.

  • What specific sleep history components are most critical given her occupation?
  • Which validated screening tool results are most concerning?
  • How might her rotating shift schedule impact her weight management success?
  • What sleep hygiene modifications would you prioritize?
  • What additional assessments or referrals might be indicated?

Summary of key teaching points

Rotating shift work tends to disrupt circadian rhythms more than consistent night shifts. Frequent changes in sleep-wake cycles disrupt the body's ability to adapt, resulting in more pronounced metabolic and behavioral consequences that hinder weight management efforts. Screening for OSA plays a critical role, especially in individuals presenting with high-risk indicators, eg, loud snoring, hypertension, obesity, and witnessed apneas. Early identification of OSA enables timely intervention, supporting improved sleep quality and better metabolic regulation.

A comprehensive assessment of sleep disorders often becomes necessary before initiating weight loss strategies. Untreated sleep conditions can undermine the effectiveness of dietary and physical activity interventions by contributing to fatigue, reduced motivation, and metabolic imbalances. Hormonal disruption associated with shift work further complicates weight loss. Irregular schedules affect the balance of leptin and ghrelin, hormones that regulate hunger and satiety, making appetite control more difficult and contributing to increased caloric intake.[18]

Comprehensive Medication and Supplement Assessment Framework

A comprehensive medication and supplement history assessment is critical in obesity medicine, as numerous pharmacological agents can significantly impact weight trajectory, metabolic parameters, and treatment outcomes (see Table 14). Understanding current and previous medication exposures helps identify iatrogenic causes of weight gain, opportunities for medication optimization, and potential drug interactions with obesity pharmacotherapy. Please see StatPearls' companion resource, "Epidemiologic and Etiologic Considerations of Obesity," for further information on comprehensive medication-induced weight changes.

Table 14. Medication History Assessment Domains

Current Medication Inventory
  • Food and Drug Administration (FDA)-approved obesity medications (past and present)
  • Weight-gain-promoting medications
  • Weight-neutral or weight-reducing medications
  • Over-the-counter supplements and vitamins
  • Herbal and complementary products
Historical Medication Assessment
  • Previous obesity medication trials and outcomes
  • Adverse effects experienced
  • Reasons for discontinuation
  • Duration of treatment and weight response

Food and Drug Administration-approved obesity medications assessment

Current approved medications for chronic weight management require systematic evaluation of previous exposure, efficacy, tolerability, and reasons for discontinuation (see Table 15).[19]

Table 15. FDA-Approved Obesity Medications

Medication

Pharmacologic Mechanism

Comments

Orlistat

Lipase inhibitor

Gastrointestinal tolerance, fat-soluble vitamin status

Phentermine

Sympathomimetic amine

Cardiovascular contraindications, tolerance development

Naltrexone-Bupropion

Opioid/dopamine pathway modulation

Depression history, seizure risk

Liraglutide (Saxenda)

Glucagon-like peptide (GLP)-1 receptor agonist

Diabetes status, gastrointestinal tolerance, and pancreatitis history

Semaglutide (Wegovy)

GLP-1 receptor agonist

Similar to liraglutide, injection tolerance

Tirzepatide (Zepbound)

Dual gastric inhibitory polypeptide (GIP)/GLP-1 agonist

Diabetes management, gastrointestinal effects assessment

Note: Tirzepatide (Zepbound): Dual GIP/GLP-1 agonist; FDA-approved in 2023 for chronic weight management in adults with a BMI ≥30 or ≥27 with comorbidity.[20] Tirzepatide was initially approved for type 2 diabetes as Mounjaro in May 2022.

Weight-gain-promoting medications

Identifying weight-gain-promoting medications is crucial for effective treatment planning and may necessitate substituting weight-neutral alternatives when clinically appropriate.[21] Medications commonly associated with weight gain include:

  • Psychiatric medications
    • Atypical antipsychotics (eg, olanzapine, clozapine, risperidone)
    • Tricyclic antidepressants (eg, amitriptyline, nortriptyline)
    • Mood stabilizers (lithium, valproate)
    • Some selective serotonin reuptake inhibitors (eg, chronic use of paroxetine or citalopram)
  • Endocrine medications
    • Corticosteroids (eg, prednisone, hydrocortisone)
    • Insulin and sulfonylureas
    • Beta-blockers (eg, propranolol, metoprolol)
    • Some contraceptives (eg, depot medroxyprogesterone)
  • Other medications
    • Antihistamines (eg, cyproheptadine)
    • Antiseizure medications (eg, gabapentin, pregabalin)
    • Some migraine preventives (eg, amitriptyline, valproate)

Weight-reducing or weight-neutral medications

Recognition of medications that may facilitate weight loss or maintain weight neutrality can inform treatment decisions and medication optimization (see Table 16).[22]

Table 16. Weight-Reducing or Weight-Neutral Medications

Sodium–Glucose Cotransporter 2 Inhibitors

Empagliflozin, dapagliflozin

2 to 4 kg weight loss

Liraglutide (glucagon-like peptide-1 agonist)

Saxenda

6% to 8% body weight loss

Semaglutide (glucagon-like peptide-1 agonist)

Wegovy

12% to 15% body weight loss

Bupropion

Wellbutrin

Weight loss or neutral

Topiramate

Antiseizure

Weight loss (off-label obesity use)

Metformin

Diabetes medication

Weight loss or neutral

 Dipeptidyl Peptidase-4 Inhibitors

Sitagliptin, linagliptin

Weight neutral

Over-the-counter and supplement assessment

The supplement and over-the-counter (OTC) market for weight management is vast and largely unregulated, requiring careful assessment of current use, safety concerns, and potential interactions.[23] Common OTC weight loss products include:

  • Stimulant-based products
    • Caffeine-containing supplements
    • Green tea extract
    • Synephrine (bitter orange)
    • Yohimbine
  • Nonstimulant products
    • Glucomannan
    • Green coffee bean extract
    • Garcinia cambogia
    • Chromium picolinate
  • Meal replacement products
    • Protein shakes and bars
    • Meal replacement shakes
    • Fiber supplements

Assessment questions framework

Examples of clinical assessment questions to evaluate obesity medications and supplements include the following components: 

  • Current medication inventory
    • "Are you currently taking any prescription medications for weight management?"
    • "Which medications have you tried in the past for weight loss?"
    • "Have you noticed weight changes when starting or stopping any medications?"
  • Weight-gain medication assessment
    • "Are you taking medications for depression, anxiety, diabetes, or other conditions?"
    • "Have you gained weight since starting any new medications?"
    • "How long have you been on your current medication regimen?"
  • Supplement and OTC assessment
    • "What over-the-counter supplements or vitamins do you take?"
    • "Have you tried any weight loss products from stores or online?"
    • "Do you take any herbal products or 'natural' weight loss supplements?"
  • Adherence and barriers
    • "What makes it difficult to take medications as prescribed?"
    • "Have you experienced adverse effects that led you to stop medications?"
    • "Are medication costs a barrier for you?"
Pause and Reflect

Jennifer, a 42-year-old woman with a BMI of 34 kg/m², presents for weight management. Current medications include sertraline 100 mg daily (started 3 years ago, resulting in a 15 lbs weight gain), metformin 1000 mg twice daily, lisinopril 10 mg daily, and vitamin D. She reports trying phentermine 2 years ago, with good initial weight loss (20 lbs), but stopped due to insomnia and anxiety. She currently takes green coffee bean extract and a "fat burner" supplement containing caffeine and synephrine, which she purchased online. She's interested in trying semaglutide but is concerned about cost and injection anxiety.

  • Which current medications might be contributing to weight gain?
  • What are the potential safety concerns with her current supplement regimen?
  • How would you assess her previous experience with phentermine for future treatment planning?
  • What medication optimization strategies could you consider?
  • How would you address her concerns about semaglutide treatment?

Summary of key teaching points

Selective serotonin reuptake inhibitors vary in their impact on body weight. Among commonly prescribed options, paroxetine and citalopram tend to cause more weight gain compared to sertraline. Supplement safety remains a crucial consideration in managing obesity. Many unregulated dietary supplements may contain undisclosed stimulants or harmful contaminants, posing significant health risks. 

Understanding a patient's previous medication trials provides valuable insight into past treatment responses and the reasons for discontinuing those treatments. This knowledge supports more effective and personalized prescribing decisions by helping clinicians avoid previously ineffective or poorly tolerated agents. Cost factors, including insurance coverage and the availability of patient assistance programs, significantly influence medication selection. Financial considerations often determine access to and treatment adherence, making cost a key component in treatment planning.

Issues of Concern

Comprehensive Neuropsychiatric Assessment Framework

Neuropsychiatric history assessment is also fundamental in obesity medicine due to the bidirectional relationships between mental health conditions and obesity, the impact of psychological factors on eating behaviors, and the potential effects of psychiatric medications on weight (see Table 17).[24] Mental health disorders affect approximately 20% of adults annually, with higher prevalence rates observed in individuals with obesity.[25] Please see StatPearls' companion resources, "Suicide Screening and Prevention", "Screening for Depression and Suicide in Children," and "Major Depressive Disorder," for further information on mental health screening approaches.

Table 17. Neuropsychiatric Assessment Domains

Mood Disorders
  • Major depressive disorder
  • Bipolar disorder
  • Seasonal affective disorder
  • Dysthymia/persistent depressive disorder
Anxiety Disorders
  • Generalized anxiety disorder
  • Panic disorder
  • Social anxiety disorder
  • Posttraumatic stress disorder
Attention and Cognitive Issues
  • Attention-deficit/hyperactivity disorder
  • Cognitive impairment or dementia
  • Executive function difficulties
Other Psychiatric Conditions
  • Body image disorders and body dysmorphia
  • Psychotic disorders
  • Substance use disorders

Depression screening and assessment

Depression affects 43% of adults with obesity compared to 25% of adults with a normal weight, creating a complex bidirectional relationship requiring comprehensive assessment (see Table 18. Depression and Anxiety Screening Tools).[26]

Table 18. Depression and Anxiety Screening Tools

Screening Questionaire

Question Number

Scoring Range

Score Interpretation

PHQ-9

9

0–27

  • ≥5 mild
  • ≥10 moderate
  • ≥15 moderately severe

PHQ-2

2

0–6

  • ≥3 requires full PHQ-9

GAD-7

7

0–21

  • ≥5 mild
  • ≥10 moderate
  • ≥15 severe anxiety

Beck Depression Inventory-II

21

0–63

  • ≥14 mild
  • ≥20 moderate
  • ≥29 severe depression

GAD-7, Generalized Anxiety Disorder-7; PHQ-2, Patient Health Questionnaire-2; PHQ-9, Patient Health Questionnaire-9

Attention-deficit/hyperactivity disorder assessment in adults

Adult attention-deficit/hyperactivity disorder (ADHD) affects approximately 4.4% to 6% of adults based on the latest CDC 2024 data, and is associated with increased obesity risk through impulsivity, emotional dysregulation, and medication effects.[27] ADHD medications can significantly impact appetite and weight.[28] ADHD screening components include:

  • Inattention symptoms
    • Difficulty sustaining attention
    • Difficulty organizing tasks
    • Easily distracted by external stimuli
    • Forgetful in daily activities
  • Hyperactivity-impulsivity symptoms
    • Restlessness or feeling "on the go"
    • Difficulty waiting for turns
    • Interrupting or intruding on others
    • Impulsive decision-making
  • Childhood history
    • Symptoms present before age 12
    • Impairment in multiple settings
    • Academic or behavioral difficulties

Body Image and Dysmorphia Assessment

Body image disorders are prevalent in obesity and can significantly impact treatment adherence and psychological well-being.[29] Body dysmorphic disorder requires specialized assessment and treatment. Body image assessment includes:

  • Body satisfaction
    • Current body image perception
    • Ideal vs. actual body size discrepancy
    • Body checking or avoidance behaviors
    • Impact on daily functioning
  • Body dysmorphic disorder screening
    • Preoccupation with perceived defects
    • Repetitive behaviors (mirror checking, grooming)
    • Significant distress or impairment
    • Excluding patients whose body image concerns are not clinically significant

Cognitive assessment considerations

Cognitive function assessment is essential in obesity medicine due to its potential impact on treatment adherence, decision-making, and the success of lifestyle modifications (see Table 19).[30]

Table 19. Cognitive Assessment Domains

Executive Function

Trail Making Test, Stroop Test

Treatment planning and goal-setting ability

Memory

Mini-Mental State Exam, Montreal Cognitive Assessment

Medication adherence, dietary recall accuracy

Attention

Continuous Performance Tests

Adult attention-deficit/hyperactivity disorder screening, impulsivity assessment

Processing Speed

Symbol Digit Modalities, Digit Symbol

Information processing speed evaluation

Assessment questions framework

Examples of clinical assessment questions to evaluate neuropsychological issues include: 

  • Depression screening
    • "Over the past 2 weeks, how often have you felt down, depressed, or hopeless?"
    • "Over the past 2 weeks, how often have you had little interest or pleasure in doing things?"
    • "Have you ever been diagnosed with or treated for depression?"
  • Anxiety assessment
    • "Do you worry excessively about multiple things in your life?"
    • "Have you experienced panic attacks or periods of intense fear?"
    • "Does anxiety interfere with your daily activities or relationships?"
  • ADHD screening
    • "Do you have difficulty concentrating or staying focused on tasks?"
    • "Are you easily distracted or do you lose things frequently?"
    • "Do you often act without thinking or have trouble waiting your turn?"
  • Body image assessment
    • "How do you feel about your current body size and shape?"
    • "Do you spend significant time thinking about your appearance?"
    • "Do concerns about your body interfere with daily activities?"
Pause and Reflect

 

Michael, a 35-year-old software engineer with a 38 kg/m² BMI, presents for obesity consultation. The PHQ-9 score is 14, and the GAD-7 score is 12. He reports lifelong difficulties with organization, procrastination, and impulsivity. He was diagnosed with ADHD in childhood, but stopped medications in college. He describes periods of overeating when stressed and reports significant anxiety about his appearance, spending 2 to 3 hours daily checking his body in mirrors. He has a history of binge eating episodes and feels "out of control" around food. His father had depression, and his mother struggled with eating disorders.

  • Which psychiatric conditions require immediate screening or referral?
  • How might untreated ADHD be impacting his weight management?
  • What body image concerns need further assessment?
  • How would you prioritize mental health interventions in his treatment plan?
  • What validated screening tools would be most appropriate for follow-up?

Summary of Key Teaching Points

Recognizing comorbid psychiatric conditions remains essential in the assessment and treatment of obesity. Many individuals living with obesity also experience mental health disorders, eg, depression, anxiety, or binge eating, which can complicate both diagnosis and intervention efforts. Additionally, the link between ADHD and obesity underscores the influence of impulsivity on eating behaviors. Individuals with ADHD may have a hard time with portion control and make impulsive food choices, which can contribute to excessive caloric intake and difficulty adhering to structured dietary plans.

Furthermore, distorted body image, particularly in the context of body dysmorphic disorder, can undermine motivation for weight loss. Mental health treatment frequently serves as a necessary foundation for effective weight management. Addressing underlying psychological factors through integrated care enhances engagement, adherence, and long-term success in obesity interventions.

Comprehensive Social History and Social Determinants of Health Assessment Framework

Social determinants of health account for 80% of health outcomes and are particularly critical in obesity medicine, where socioeconomic, environmental, and cultural factors significantly influence weight trajectory and treatment success.[31] Understanding a patient's social context enables clinicians to identify barriers to care, customize interventions, and address root causes of weight-related health disparities (see Table 20).[WHO. SDOH] Please see StatPearls' companion resources, "Social Determinants of Population Health" and "Diversity and Discrimination in Health Care," for further information on social determinants assessment.

Table 20. Core Social History Domains

 Substance Use Assessment  
  • Smoking history and cessation attempts
  • Alcohol use patterns and screening
  • Illicit substance use evaluation
  • Prescription drug misuse assessment
 Socioeconomic Factors  
  • Educational attainment and health literacy
  • Employment status and occupational health
  • Income level and financial stability
  • Insurance coverage and healthcare access
Environmental and Geographic Factors  
  • Built environment and food access
  • Transportation availability
  • Housing stability and safety
  • Geographic isolation or urban density
 Psychosocial Stressors  
  • Chronic stress and coping mechanisms
  • Trauma history and adverse childhood experiences
  • Stigmatization and discrimination experiences
  • Social support networks and isolation

Substance Use Assessment in Obesity Medicine

Substance use significantly impacts weight management through its metabolic effects, behavioral patterns, and adherence to treatment. Smoking cessation, in particular, is associated with average weight gain of 4 to 5 kg, requiring proactive management strategies (see Table 21).[32]

Table 21. Smoking Status and Weight Management

Smoking Status

Effects

Management

Current Smoker

Appetite suppression, increased metabolism

Integrated cessation and weight management

Recent Quitter (<1 year)

Average 4–5 kg gain over 6–12 months

Anticipatory counseling, pharmacotherapy

Former Smoker (>1 year)

Weight plateau after 2 years

Standard obesity treatment

Never Smoker

No nicotine-related effects

Focus on other social determinants of health factors

Validated substance use screening tools

Validated substance use screening tools that are frequently utilized to assess substance abuse include:

  • AUDIT-C (alcohol screening)
    • 3-item brief screening tool
    • A score of 3 or higher (women) or 4 or higher (men) is considered a positive screen.
    • Validated in primary care settings
  • DAST-10 (drug abuse screening)
    • 10-item drug use screening
    • A score of 3 or higher indicates a moderate to severe substance use problem.
    • Includes prescription drug misuse
  • CAGE questionnaire
    • The CAGE questionnaire is a brief, 4-question tool asking about the need to Cut down on drinking, feeling Annoyed by others' criticism of their drinking habits, feeling Guilty about drinking, and using alcohol as an Eye-opener in the morning or to get rid of a hangover. 
    • A score of 2 or greater suggests an alcohol use disorder.
    • Quick screening for clinical settings

Food and nutritional security assessment

Food insecurity affects 47 million Americans, including 13.8 million children, and is strongly associated with obesity, particularly in women and children.[USDA 2023] The paradox of food insecurity and obesity stems from a reliance on calorie-dense, nutrient-poor foods and cyclic patterns of food restriction.[33]

Food security screening tools include:

  • The following 2-item food insecurity screener (a positive response to either question indicates food insecurity risk)
    • "Within the past 12 months, did you worry that your food would run out before you got money to buy more?"
    • "Within the past 12 months, did the food you bought not last, and you didn't have money to get more?" [34]
  • United States Department of Agriculture 18-Item Food Security Survey  (comprehensive assessment of household food security)
    • Categorizes food security levels (high, marginal, low, and very low)
    • Research standard for food insecurity measurement

Environmental and geographic assessment

The built environment significantly impacts obesity risk through its influence on food access, physical activity opportunities, and exposure to environmental stressors.[35] Food deserts, defined as areas with limited access to affordable and nutritious food, affect approximately 23.5 million people in the United States.[USDA Nutritious Food Access] Environmental health assessment evaluates the following components:

  • Food environment
    • Distance to full-service grocery stores
    • Density of fast-food restaurants
    • Availability of farmers' markets or community gardens
    • School and workplace food environments
  • Physical activity environment
    • Safe walking/cycling infrastructure
    • Access to parks, recreation centers, and gyms
    • Neighborhood safety and lighting
    • Public transportation availability
  • Housing and safety
    • Housing stability and overcrowding
    • Neighborhood violence and safety concerns
    • Environmental toxin exposure
    • Air quality and pollution levels

Stress and trauma assessment

Chronic stress and trauma significantly impact weight through dysregulation of the hypothalamic-pituitary-adrenal axis, leading to cortisol elevation, increased appetite, and preferential abdominal fat storage (see Tables 22 and 23).[36] The Adverse Childhood Experiences questionnaire shows dose-response relationships with adult obesity.[37]

Table 22. Adverse Childhood Experiences and Obesity Risk

Abuse

Physical, emotional, and sexual abuse

2-fold increased obesity risk with a 4+ The Adverse Childhood Experiences Score

Neglect

Physical and emotional neglect

Dysregulated eating patterns, food hoarding

Household Dysfunction

Domestic violence, substance abuse, mental illness, and incarceration

Chronic stress response, emotional eating

Table 23. Trauma-Informed Screening Tools

 ACES
  • A 10-item childhood trauma screening
  • Scores ≥4 are associated with significantly increased health risks
  • Requires a trauma-informed care approach
PC-PTSD-5
  • A 5-item PTSD screening tool
  • A positive screen requires a comprehensive PTSD evaluation
  • Important for treatment planning in obesity

ACES, adverse childhood experiences; PC-PTSD-5, Primary Care Post-Traumatic Screen for the Diagnostic and Statistical Manual of Mental Disorders

Assessment questions framework

The following are sample questions to assess social determinants of health and social history components in patients with obesity:

  • Substance use assessment
    • "How many cigarettes do you smoke per day, and have you ever tried to quit?"
    • "How many days per week do you drink alcohol, and how many drinks per occasion?"
    • "Do you use any recreational drugs or misuse prescription medications?"
  • Food security screening
    • "In the past 12 months, did you worry about food running out before you could buy more?"
    • "Do you have reliable access to healthy, affordable food in your neighborhood?"
    • "What barriers make it difficult to eat healthy foods?"
  • Environmental assessment
    • "How easy is it to buy fresh fruits and vegetables where you live?"
    • "Do you feel safe walking in your neighborhood during the day and evening?"
    • "What transportation do you use for medical appointments and grocery shopping?"
  • Stress and trauma screening
    • "What are the main sources of stress in your life currently?"
    • "Before age 18, did you experience abuse, neglect, or household dysfunction?"
    • "Have you experienced discrimination or bias related to your weight?"
Pause and Reflect

Maria, a 38-year-old Hispanic woman with a BMI of 33 kg/m², works 2 part-time jobs without benefits. She lives in a food desert, takes public transit 90 minutes each way to work, and supports 3 children as a single mother. She reports food running out before payday, buys groceries from corner stores, and often skips meals to ensure her children eat. She drinks 3 to 4 alcoholic beverages nightly "to relax" and smoked cigarettes for 15 years but quit 6 months ago, gaining 8 kg. She reports childhood physical abuse and current financial stress. Her family believes a larger body size indicates health and prosperity.

  • Which social determinants of health are most significantly impacting her weight management?
  • How would you prioritize interventions given her multiple competing stressors?
  • What cultural factors need to be considered in treatment planning?
  • Which validated screening tools would be most appropriate for a comprehensive assessment?
  • How would you address food insecurity while promoting weight management?

Summary of key teaching points

Multiple social determinants of health significantly influence weight and health behaviors. Factors, including food insecurity, transportation barriers, occupational stress, and cultural influences, directly impact an individual's ability to engage in and sustain weight management efforts. Trauma-informed care remains essential when addressing obesity in individuals with a history of childhood abuse. These patients often require a sensitive, specialized approach that avoids retraumatization while fostering trust and emotional safety. 

Cultural sensitivity enhances the effectiveness of obesity care. Family beliefs and cultural norms regarding body size should be explored respectfully, emphasizing collaborative education rather than judgment. This approach encourages open dialogue and fosters mutual understanding. Practical interventions must begin with addressing basic needs. Ensuring food security and resolving immediate socioeconomic barriers form the foundation for successfully implementing lifestyle modifications and behavior change strategies.

Clinical Significance

Clinical Integration and Documentation

Effective history-taking in obesity medicine provides the clinical foundation for tailored, evidence-based treatment planning.[38] Understanding a patient's weight trajectory, nutritional intake, eating behaviors, physical activity patterns, sleep quality, medication effects, mental health status, and social determinants of health allows clinicians to identify modifiable contributors and select appropriate interventions.

This comprehensive approach helps to support the following management goals:

  • Builds therapeutic alliance and reduces weight stigma
  • Identifies treatment targets and prioritizes interventions
  • Guides referrals to appropriate specialists
  • Establishes a baseline for monitoring progress
  • Informs safety considerations for treatment selection
  • Addresses psychiatric comorbidities that impact weight management
  • Optimizes medication regimens to support weight goals
  • Incorporates social determinants to address root causes of health disparities

Integrating validated assessment tools with clinical interviewing skills ensures both efficiency and comprehensiveness in obesity medicine practice, ultimately leading to improved patient outcomes and treatment success.[39]

Comprehensive obesity medicine history documentation template

A thorough clinical history that assesses the 8 critical domains essential in obesity management, including weight trajectory analysis, nutritional assessment, eating behavior evaluation, physical activity patterns, sleep quality, medication effects, neuropsychiatric comorbidities, and social determinants of health, is essential for individualized treatment planning. To facilitate interprofessional collaboration, clinicians should document this information using a standard template (Table 24).

Table 24. Integrated History Documentation Sample Template

Weight History
  • Current BMI: ___
  • Highest adult weight ___
  • Lowest adult weight: ___
  • Age of onset: ___
  • Weight trajectory: ___
  • Previous attempts: ___
  • Family history: ___
 Nutrition History  
  • 24-hr recall completed: Y/N
  • Diet quality assessment: ___
  • Barriers identified: ___
  • Cultural considerations: ___
 Eating Behavior  
  • BES score: ___
  • Emotional eating: Y/N
  • Night eating: Y/N
  • Binge episodes: Y/N
  • Triggers identified: ___
 Physical Activity  
  • Current FITT-E: ___
  • Barriers: ___
  • Preferences: ___
  • Sedentary time: ___ hrs/day
 Sleep Assessment  
  • ESS: ___/24
  • STOP-BANG: ___/8
  • PSQI: ___/21
  • Shift work: Y/N
  • Sleep duration: ___ hrs
 Medication and Supplement History  
  • Current obesity medications: ___
  • Previous trials: ___
  • Weight-gain medications: ___
  • OTC supplements: ___
  • Adherence barriers: ___
  • Cost concerns: Y/N
 Neuropsychiatric History  
  • PHQ-9: ___/27
  • GAD-7: ___/21
  • ADHD screening: Y/N
  • Body image concerns: Y/N
  • Cognitive issues: Y/N
  • Previous mental health treatment: ___
 Social Determinants of Health
  • Food security: 2-item screener ___/2
  • Educational level: ___
  • Employment status: ___
  • Insurance coverage: ___
  • Transportation barriers: Y/N
  • Housing stability: Y/N
  • Substance use: AUDIT-C ___/12, DAST-10 ___/10
  • ACE score: ___/10
  • Discrimination experiences: Y/N
  • Cultural factors: ___
  • Social support: ___

ACE, adverse childhood experiences; ADHD, attention-deficit/hyperactivity disorder; AUDIT-C, Alcohol Use Disorders Identification Test–Consumption; BES, Binge Eating Scale; BMI, body mass index; DAST-10, Drug Abuse Screening Test–10; ESS, Epworth Sleepiness Scale; FITT-E, frequency, intensity, time, type, enjoyment; GAD-7, Generalized Anxiety Disorder–7; OTC, over-the-counter; PHQ-9, Patient Health Questionnaire–9; PSQI, Pittsburgh Sleep Quality Index; STOP-BANG, snoring, tired, observed apnea, pressure, BMI, age, neck, gender

Next Steps Framework

A framework for next steps provides a structured approach to translating assessment findings into actionable plans. Each domain identified during the clinical evaluation guides specific interventions, ensuring that treatment aligns with the patient's needs and readiness for change (see Table 25).

Table 25. Assessment Domain Action Plan

Assessment

Relevant History

Management Approach

Weight History

Rapid unintentional weight changes

Goal setting, readiness assessment

Nutrition

Severe food insecurity, malnutrition

Dietary counseling, community resources

Eating Behavior

BED, NES, severe restriction

Mental health/eating disorder referral

Physical Activity

Cardiac symptoms with activity

Exercise prescription, safety clearance

Sleep

High OSA risk (STOP-BANG ≥3), severe insomnia

Sleep study referral, sleep hygiene

Medication

Drug interactions, severe adverse effects

Pharmacy consultation, medication review

Neuropsychiatric

Active suicidal ideation, severe depression/anxiety

Urgent psychiatric referral, crisis intervention

Social Determinants

Food insecurity (2/2 positive), ACE ≥4, substance abuse, housing instability

Social work referral, community resources, and case management

ACE, adverse childhood experiences; BED, binge eating disorder; NES, night eating syndrome; OSA, obstructive sleep apnea; STOP-BANG, snoring, tired, observed apnea, pressure, BMI, age, neck, gender

Other Issues

High-Yield Clinical Correlations for the American Board of Obesity Medicine Board Preparation

High-yield clinical correlations are essential for clinicians preparing for the American Board of Obesity Medicine (ABOM) certification exam. These correlations highlight key assessment priorities (see Table 26) that reflect core knowledge and practical decision-making skills required for effective obesity care.

Table 26. Critical Assessment Priorities

Weight History Red Flags
  • Rapid weight gain (>10 lbs in 3 months) without lifestyle changes
  • Unintentional weight loss in an obesity setting
  • Extreme weight cycling (>50 lbs repeatedly)
  • Family history of early-onset severe obesity (consider genetic testing)
Nutrition Assessment Priorities
  • Ultra-processed food consumption >50% of calories [40]
  • Liquid calorie intake (sodas, alcohol, juices)
  • Eating frequency patterns (grazing vs structured meals)
  • Food insecurity screening (validated 2-item screener)
Eating Behavior Clinical Decision Points
  • BES score: ≥17 = moderate to severe binge eating
  • NES: >25% calories after dinner + nocturnal eating
  • Loss of control eating episodes (even without large amounts)
  • Emotional eating triggers that require behavioral intervention
Physical Activity Assessment Focus  
  • Current sitting time (>8 hours = high risk)
  • Previous positive exercise experiences
  • Physical limitations requiring modification
  • Social support for activity participation
Sleep History Critical Elements
  • STOP-BANG ≥3 = sleep study referral indicated
  • ESS >10 = excessive daytime sleepiness evaluation
  • Sleep duration <7 or >9 hours = metabolic risk factor
  • Shift work = circadian disruption requiring a specialized approach
Medication Assessment Priorities
  • Weight-gain medications requiring substitution
  • Previous obesity medication trials and reasons for discontinuation
  • Drug-drug interactions with potential obesity treatments
  • Unregulated supplement use and safety concerns
Neuropsychiatric Assessment Key Points
  • Depression screening mandatory (PHQ-9 ≥10 = moderate depression)
  • ADHD-obesity connection through impulsivity and medication effects
  • Body image disorders impacting treatment adherence
  • Suicide risk assessment in severe depression cases
Social Determinants of Health Priorities  
  • Food insecurity (2-item screener) as primary obesity driver
  • An ACE score ≥4 indicates a high trauma burden affecting weight
  • Substance use screening (AUDIT-C ≥3 women, ≥4 men requires intervention)
  • Environmental barriers (transportation, housing) that limit treatment access
  • Discrimination experiences that require a trauma-informed care approach

ACE, adverse childhood experiences; ADHD, attention-deficit/hyperactivity disorder; AUDIT-C, Alcohol Use Disorders Identification Test–Consumption; BES, Binge Eating Scale; ESS, Epworth Sleepiness Scale; NES, night eating syndrome; PHQ-9, Patient Health Questionnaire–9; STOP-BANG, snoring, tired, observed apnea, pressure, BMI, age, neck, gender

Quality Measures and Outcomes

ABOM-relevant quality indicators include:

  • Documentation of comprehensive history in initial evaluation (Please refer to the Function and Issues of Concern sections for more information on these components)
  • Use of validated screening tools (eg, BES, ESS, STOP-BANG, PHQ-9, GAD-7, 2-item food insecurity)
  • Assessment of social determinants of health with validated tools
  • Patient-centered goal setting based on history findings
  • Appropriate specialist referrals based on screening results
  • Medication reconciliation and optimization planning
  • Mental health screening and intervention coordination
  • Social work referral for complex social needs

This comprehensive approach to history-taking forms the foundation for evidence-based obesity treatment planning; this aligns with ABOM competency requirements, ensuring thorough assessment across all critical domains for optimal patient outcomes.

Enhancing Healthcare Team Outcomes

Effective history taking in obesity medicine requires a collaborative, interprofessional approach that leverages the unique skills and responsibilities of physicians, advanced practitioners, nurses, pharmacists, and allied health professionals. Physicians and advanced practitioners lead the clinical evaluation by integrating structured assessment frameworks such as the FITT-E model, validated screening tools for sleep and psychiatric comorbidities, and comprehensive documentation templates. Their role involves synthesizing data from various domains, including weight trajectory, nutritional intake, eating behaviors, physical activity, sleep patterns, and psychosocial history, to develop a personalized, evidence-based care plan. Nurses support this process by gathering detailed intake data, conducting initial screenings for depression, anxiety, and substance use, and helping identify social determinants of health such as food insecurity, transportation barriers, or unstable housing that may impact adherence to treatment recommendations.

Pharmacists contribute by reviewing medication and supplement histories to identify agents that promote weight gain, evaluating adherence barriers, and providing guidance on cost-effective pharmacologic options. Dietitians and behavioral health professionals play essential roles in evaluating eating patterns, emotional triggers, and cultural influences on food choices, while also addressing disordered eating behaviors and promoting sustainable lifestyle changes.

Clear, timely interprofessional communication ensures alignment across disciplines, with shared documentation tools such as integrated history templates and structured assessment summaries facilitating seamless information exchange. Coordinated care efforts—guided by regular team meetings and shared goals—promote patient-centered strategies that address not only metabolic factors but also behavioral, psychosocial, and environmental challenges. This unified approach enhances patient safety, improves clinical outcomes, and optimizes team performance in the management of obesity.

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