Tag: Pediatric Obesity

Binge Eating Disorder Signs and Treatment in Adults and Kids

On By Dr. Scott RennieIn Weight Loss & Metabolic HealthLeave a comment

Binge Eating Disorder, or BED, is one of the eating disorders I screen for most often in practice. Clinicians define it as repeated episodes of eating a large amount of food in a short period of time while feeling a loss of control during the episode. BED involves episodes that feel compulsive: the person cannot stop eating even when full or uncomfortable. This goes well beyond a second helping at dinner or an indulgent dessert.

The diagnostic criteria for BED require both that large amounts of food are consumed in a discrete time frame and that there is a sense of loss of control while eating. The episodes are also linked to behaviors such as eating more rapidly than normal, eating until uncomfortably full, eating when not hungry, eating alone because of embarrassment, and feeling disgusted or guilty afterward. At least three of those behaviors must be present. The episodes need to occur at least once a week for three months, cause distress, and they are not followed by purging behaviors like in bulimia.

Here’s a hypothetical that illustrates the pattern: someone sits down in the evening and works through an entire pizza and a half-gallon of ice cream in under two hours, not from hunger but because they can’t stop. They feel physically ill afterward. Ashamed, too. The cycle repeats weekly or more often. I’ve seen a real version of this on video visits. One of my patients was managing things with intermittent fasting, and it worked in the sense that the scale moved, but every time the eating window opened back up, they took in way more calories than they needed. The fast itself was setting up the binge.

Children complicate this picture. For kids under 12, researchers have proposed a related diagnosis called Loss of Control Eating Disorder, or LOC-ED (Tanofsky-Kraff et al., 2008). The issue is that children may not consume amounts of food that adults would consider objectively large, but they still experience the same loss of control. In this group, the definition focuses on the subjective sense of being unable to stop eating. The proposed criteria mirror those of BED but apply specifically to children younger than 12. The episodes still need to happen at least once a week for three months and cause distress.

Picture a hypothetical case in pediatrics: a 10-year-old who sneaks into the kitchen at night, eats snack foods quickly, and can’t stop once started. The amount might look modest by adult standards. For a child, it’s significant. What matters is the loss of control, not the portion size. Wrappers hidden in the trash. A refusal to eat breakfast the next morning. Those are often the only clues a parent gets.

Treatment is available for both BED and LOC-ED. For adults with BED, the most evidence supports cognitive behavioral therapy, which helps patients identify triggers, restructure eating patterns, and address guilt and shame. Interpersonal therapy has also been shown to help, especially when social stress is a driver. Some patients benefit from medications. SSRIs have modest benefit for binge frequency, and lisdexamfetamine is the only medication currently approved by the FDA for BED in adults. Nutritional counseling and structured meal planning are usually part of the approach.

I should be direct about where I actually fit into this picture. I don’t manage BED treatment myself. Real treatment leans heavily on behavioral health, and in my current telemedicine positions I don’t have the coordination with a therapist or eating-disorder specialist that this really requires. What I do is screen for it on video visits: ask the direct questions, name what I’m seeing, and refer out from there.

For children with LOC-ED, treatment recommendations are less formalized since the diagnosis itself is still considered research-based. The focus is often on family-based behavioral therapy, involving parents in setting up structured eating schedules and reducing situations where loss of control is most likely to occur. Addressing mood or anxiety symptoms is important, since these are often linked to eating episodes. Nutrition support is also key, both for the child and for parents trying to guide food choices. Medications are not first-line in children.

Recognizing BED or LOC-ED is important because both conditions are linked to higher rates of obesity, depression, and medical complications if untreated. Many people don’t come forward because of shame or because they don’t realize their pattern is a diagnosable disorder. Asking direct questions about eating behaviors, especially around loss of control, can uncover these conditions and open the door to treatment.

If this description fits you or someone you know, talk with a healthcare provider. Early recognition, especially in children, can change the trajectory and reduce the risk of chronic problems.

Scott Rennie, D.O.
Board Certified in Obesity Medicine and Family Medicine

This blog is for educational purposes only and does not constitute individual medical advice. Always consult your own physician before making changes to your health, medications, or treatment plan.

References:

Allison KC, Tarves EP. Treatment of night eating syndrome. Psychiatr Clin North Am. 2011;34(4):785-796. doi:10.1016/j.psc.2011.08.002

McCuen-Wurst C, Ruggieri M, Allison KC. Disordered eating and obesity: associations between binge-eating disorder, night-eating syndrome, and weight-related comorbidities. Ann N Y Acad Sci. 2018 Jan;1411(1):96-105. doi: 10.1111/nyas.13467. PMID: 29044551; PMCID: PMC5788730

Tanofsky-Kraff M, Marcus MD, Yanovski SZ, Yanovski JA. Loss of control eating disorder in children age 12 years and younger: proposed research criteria. Eat Behav. 2008;9(3):360-365. doi:10.1016/j.eatbeh.2008.03.001

Do Gut Bacteria Affect Your Weight? The Microbiome

On By Dr. Scott RennieIn Weight Loss & Metabolic HealthLeave a comment

When we talk about obesity, the conversation usually stops at calories and exercise. The trillions of microorganisms living in the gut deserve a place in it too. That ecosystem shapes metabolism, appetite, immune function, and the way the body handles stress. I have found that once patients understand the connection, they see weight and health in a very different light.

The microbiome covers more than bacteria. It includes archaea, fungi, viruses, and all their genetic material and metabolic products. The microbiota refers to the organisms themselves. None of it is passive. These organisms interact with diet, hormones, and the immune system in ways that either support health or push toward disease.

Diet does most of the shaping. Patterns rich in fiber and plant foods foster diversity and encourage species like Bifidobacteria and Bacteroides. Diets heavy in fat and low in fiber do the reverse. In older adults, that second pattern has been linked to frailty and worse health outcomes (Claesson et al., Nature, 2012).

The clinical relevance shows up in the obesity data. People with obesity tend to carry less diverse microbiomes and a greater capacity to pull energy out of food. In the foundational experiments, gut bacteria from obese mice were transplanted into germ-free mice, and the recipients gained more fat on the same caloric intake (Turnbaugh et al., Nature, 2006). The earlier work that set this up was a profiling study rather than a transplant, showing that ob/ob mice carry a different microbial composition than lean littermates (Ley et al., PNAS, 2005). Worth keeping those two straight, since they get merged constantly.

The mechanism comes down to metabolites. Microbes in the colon ferment fiber into short-chain fatty acids such as acetate, propionate, and butyrate. These influence GLP-1 and PYY, shift fat metabolism, and trigger inflammatory pathways that feed insulin resistance (Islam et al., Nutrients, 2022; Kong et al., Front Neurosci, 2021). High-fat diets also weaken the gut barrier, letting lipopolysaccharides leak into circulation. That process, metabolic endotoxemia, promotes systemic inflammation, insulin resistance, and weight gain (Kobyliak et al., Nutr J, 2016).

Antibiotic exposure adds another layer. A JAMA Network Open cohort followed 5,128 New Zealand children and found that 95% had received at least one antibiotic course before age four. Those with more than nine courses had 2.4 times the odds of obesity by age 4.5, and the association was strongest when exposure began before the first birthday (Chelimo et al., 2020). Animal models mirror it. Low-dose antibiotics given at weaning increased fat mass and altered metabolic pathways (Cho et al., Nature, 2012).

The microbiome talks to the brain as well. Microbial metabolites affect ghrelin, leptin, GLP-1, and CCK, the hormones that govern appetite, mood, and satiety (Van Son et al., Int J Mol Sci, 2021). That may be part of why chronic stress, anxiety, and disordered eating so often travel alongside changes in gut composition.

So where does this land in practice? Obesity treatment has to reach past calorie restriction. Supporting a healthy microbiome matters. Fiber-rich diets, probiotics, and prebiotics are under study as low-risk interventions. Synbiotics, which combine the two, are being evaluated as well. Fecal microbiota transplantation remains research territory. Even bariatric surgery outcomes may be partly explained by microbial shifts (Kovatcheva-Datchary et al., Cell Metab, 2015).

I have seen patients become more open to dietary change once they understand that what they eat feeds their microbes as much as it feeds them. That reframe carries weight. It moves the focus from restriction to partnership, from fighting the body to working with it.

Scott Rennie, D.O.

References:

1. Claesson MJ, et al. Gut microbiota composition correlates with diet and health in the elderly. Nature. 2012;488(7410):178-184. https://pubmed.ncbi.nlm.nih.gov/22797518/

2. Turnbaugh PJ, et al. An obesity-associated gut microbiome with increased capacity for energy harvest. Nature. 2006;444(7122):1027-1031. https://pubmed.ncbi.nlm.nih.gov/17183312/

3. Ley RE, et al. Obesity alters gut microbial ecology. Proc Natl Acad Sci USA. 2005;102(31):11070-11075. https://pubmed.ncbi.nlm.nih.gov/16033867/

4. Islam MR, et al. Nutrients. 2022;14(3):624.

5. Kong D, et al. Front Neurosci. 2021;15:755845.

6. Kobyliak N, et al. Nutr J. 2016;15:43.

7. Chelimo C, et al. Associations of Prenatal and Childhood Antibiotic Exposure With Obesity at Age 4 Years. JAMA Netw Open. 2020;3(1):e1917577. https://pubmed.ncbi.nlm.nih.gov/31977058/

8. Cho I, et al. Antibiotics in early life alter the murine colonic microbiome and adiposity. Nature. 2012;488(7413):621-626. https://pubmed.ncbi.nlm.nih.gov/22914093/

9. Van Son J, et al. Int J Mol Sci. 2021;22(6):2993.

10. Kovatcheva-Datchary P, et al. Cell Metab. 2015;22(6):971-982.

Board Certified in Obesity Medicine and Family Medicine

This blog is for educational purposes only and does not constitute individual medical advice. Always consult your own physician before making changes to your health, medications, or treatment plan.

How Processed Food Disrupts the Gut Brain Connection

On By Dr. Scott RennieIn Weight Loss & Metabolic HealthLeave a comment

For years we told patients obesity came down to calories in and calories out. The research has moved. The gut-brain axis, the two-way traffic between the digestive system and the central nervous system, sits at the center of hunger, satiety, and reward. When it works, it regulates intake without conscious effort. Against the current food supply, it often doesn’t work.

The axis runs on neural, hormonal, and metabolic signals. After a meal, the gut reports what came in, how much, and when to stop. That system evolved for whole foods and scarce calories. It was never built for a diet dominated by processed, energy-dense products.

Alexandra DiFeliceantonio and Dana Small have argued that modern food disrupts the system by creating mismatches between what the gut senses and how the brain responds (Small & DiFeliceantonio, Science, 2019). Three features stand out.

The first is macronutrient combination. Fat and refined carbohydrate rarely appear together in high amounts in nature. Most processed food delivers both. People assign higher value to fat-carb combinations even when calories are held constant. In one controlled experiment, participants bid more money for foods containing both than for foods containing either alone (DiFeliceantonio et al., Cell Metab, 2018).

Speed of absorption is the second. Highly processed foods deliver calories fast, producing stronger responses in glucose metabolism and reward pathways (Carmody et al., PNAS, 2011; Hall et al., Cell Metab, 2019). Rodents develop stronger preferences for rapidly metabolized foods. In humans, faster eating rate tracks with weight gain.

Additives are the third. Sweeteners, emulsifiers, and artificial flavors make food more palatable while confusing the signaling underneath. When sweet taste stops reliably predicting calorie content, the brain loses the ability to regulate intake based on prior experience (Dalenberg et al., Cell Metab, 2020). The body learns that taste no longer matches nutrition.

The evidence supports the picture. People with obesity show altered valuation of high-reward foods compared with lean individuals (Perszyk et al., Nutrients, 2021). Rodents fed cafeteria-style diets full of energy-dense processed food overeat and gain weight, while chow-fed controls hold steady (Johnson & Kenny, Nat Neurosci, 2008; Beilharz et al., Front Psychol, 2014). Neuroimaging shows the striatum responding differently to fat-carb combinations than to single macronutrients (DiFeliceantonio et al., 2018).

All of which points at something uncomfortable. The modern food environment may overwhelm and distort the very systems built to keep intake in check. That is a real explanation for why “eat less, move more” fails so often. The advice assumes intact gut-brain signaling in people whose signaling is already compromised.

The open research question is how to restore it. Diets built around foods that reinforce reliable gut-brain communication. Studies of how additives affect hormonal and neural markers of satiety. Behavioral work helping patients relearn hunger and fullness cues.

Clinically, the thing worth holding onto is the environment patients are choosing inside. A food supply engineered to exploit biological vulnerabilities will beat most people’s intentions, and restoring the fidelity of that signaling may be where the real leverage sits.

Scott Rennie, D.O.

References:

1. Small DM, DiFeliceantonio AG. Processed foods and food reward. Science. 2019;363(6425):346-347. https://pubmed.ncbi.nlm.nih.gov/30679360/

2. DiFeliceantonio AG, et al. Supra-Additive Effects of Combining Fat and Carbohydrate on Food Reward. Cell Metab. 2018;28(1):33-44.e3. https://pubmed.ncbi.nlm.nih.gov/29909968/

3. Carmody RN, Weintraub GS, Wrangham RW. Energetic consequences of thermal and nonthermal food processing. Proc Natl Acad Sci USA. 2011;108(48):19199-19203. https://pubmed.ncbi.nlm.nih.gov/22065771/

4. Hall KD, et al. Ultra-Processed Diets Cause Excess Calorie Intake and Weight Gain. Cell Metab. 2019;30(1):67-77.e3. https://pubmed.ncbi.nlm.nih.gov/31105044/

5. Dalenberg JR, et al. Short-Term Consumption of Sucralose with, but not without, Carbohydrate Impairs Neural and Metabolic Sensitivity to Sugar in Humans. Cell Metab. 2020;31(3):493-502.e7. https://pubmed.ncbi.nlm.nih.gov/32130879/

6. Perszyk EE, et al. Nutrients. 2021;13(11):3846.

7. Johnson PM, Kenny PJ. Dopamine D2 receptors in addiction-like reward dysfunction and compulsive eating in obese rats. Nat Neurosci. 2010;13(5):635-641. https://pubmed.ncbi.nlm.nih.gov/20348917/

8. Beilharz JE, Maniam J, Morris MJ. Front Psychol. 2014;5:1454.

Board Certified in Obesity Medicine and Family Medicine

This blog is for educational purposes only and does not constitute individual medical advice. Always consult your own physician before making changes to your health, medications, or treatment plan.

Talking to Your Child About Weight: A Family Approach

On By Dr. Scott RennieIn Weight Loss & Metabolic HealthLeave a comment

Pediatric obesity affects nearly one in five children in the United States (Stierman B, Afful J, Carroll MD, et al. National Health Statistics Reports, No. 158, 2021). In primary care, we’re often the first to see the signs. We see families regularly. That gives us a real chance to guide prevention and help establish healthy habits early.

The American Academy of Pediatrics recommends eleven visits in the first two years of life. Those visits do more than cover vaccines and ear checks: they’re a chance to track growth, notice concerning patterns early, and build trust with parents. Short counseling moments, repeated over time, often make more impact than a single long lecture. Small doses, consistently given.

The Chronic Care Model gives us a structure to work from. It starts with decision support, like using BMI and growth charts to flag risk. It builds in self-management tools such as plate planners that make meal discussions concrete, emphasizes delivery system design, and connects practices to community resources so families don’t feel like they’re managing this on their own (Dietz WH, Lee J, Wechsler H, Malepati S, Sherry B. Health Affairs. 2007, 26(2):430-440).

During pregnancy, maternal smoking and psychological stress both raise a child’s later obesity risk (Rayfield S, Plugge E. J Epidemiol Community Health. 2017, 71:162-173) (Dancause KN, Laplante DP, Oremus C, Fraser S, Brunet A, King S. Pediatr Res. 2012, 71:126-131). From birth through the toddler years, setting expectations around normal growth and picky eating helps prevent overfeeding. In preschool and elementary school, reinforcing habits around meals and activity can keep BMI from drifting up. Once kids reach adolescence, weight management often needs more direct intervention (Cardel MI, Atkinson MA, Taveras EM, Holm JC, Kelly AS. JAMA Pediatr. 2020, 174:609-617).

Parental obesity, maternal smoking during pregnancy, a chaotic home feeding environment: all of it raises the odds of rapid early weight gain (Stettler N, Zemel BS, Kumanyika S, Stallings VA. Pediatrics. 2002, 109:194-199). These are the kids who benefit most from structured follow-up.

Meta-analyses show up to a 22 percent reduction in obesity risk from breastfeeding, though the effect drops to about 7 to 10 percent once you adjust for maternal obesity and socioeconomic status (Owen CG, Martin RM, Whincup PH, Smith GD, Cook DG. Pediatrics. 2005, 115:1367-1377) (Harder T, Bergmann R, Kallischnigg G, Plagemann A. Am J Epidemiol. 2005, 162:397-403). Breastfed infants are better at regulating their own intake, and breastmilk itself carries bioactive compounds that affect metabolism (Arenz S, Rückerl R, Koletzko B, von Kries R. Int J Obes (Lond). 2004, 28:1247-1256).

I often tell parents to expect a “three-day eating cycle” in toddlers. One day they eat well, the next they pick at food, the third day they do something in between. Framing it this way reassures parents and heads off unnecessary pressure at mealtime. Another helpful concept is covert restriction, simply not bringing high-calorie snacks into the house in the first place. That avoids turning junk food into a “forbidden fruit” while still shaping healthier choices (Ogden J, Reynolds R, Smith A. Appetite. 2006, 47:100-106).

Motivational interviewing works by asking how they view their child’s weight, showing growth charts, and framing recommendations without blame: all of it makes these conversations more effective (Barlow SE. Pediatrics. 2007, 120 Suppl 4:S164-192). Simple, achievable goals work better than long lists. I often start with two diet-related changes, like reducing sugary drinks and adding vegetables, and one activity change, such as more outdoor play.

Checking in every three months, celebrating small wins, reinforcing progress: that’s what keeps families engaged. Counseling doesn’t need to be perfect. It needs to be consistent.

Scott Rennie, D.O.
Board Certified in Obesity Medicine and Family Medicine

This blog is for educational purposes only and does not constitute individual medical advice. Always consult your own physician before making changes to your health, medications, or treatment plan.

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