15 Jul Obesity and Metabolism: Myths That Need to Be Addressed
Posted at 12:51h
in Weight Research
Let's talk about something we all think about but rarely understand deeply—obesity and metabolism. There's a lot of noise out there, and it's easy to get lost in the myths. So, let's cut through the confusion. Get ready to get real information about how our bodies work and why we gain weight.
Obesity: An Overview
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Obesity isn't just about carrying a few extra pounds; it's a chronic condition characterized by an excessive accumulation of body fat. It's typically measured using the Body Mass Index (BMI). A BMI of 30 or higher indicates obesity. This excess body fat can have serious consequences for your health. It increases the risk of many health conditions, including type 2 diabetes, heath disease, and varicose veins. Seeking a nutrition and considering a vein treatment in Philadelphia can provide targeted treatments for obesity-related issues.
Dr. Dolatshahi[/caption]
Mahsa Dolatshahi, M.D., M.P.H.
Post-doctoral research fellow
Mallinckrodt Institute of Radiology (MIR)
Washington University School of Medicine
St. Louis
MedicalResearch.com: What is the background for this study?
Response: Obesity at midlife is recognized as a risk factor for developing Alzheimer disease decades afterwards. However, body mass index on its own does not adequately represent the risks associated with obesity.
In this study, we went beyond BMI and considered anatomical distribution of body fat, including the metabolically active visceral fat in the belly, and showed its association with Alzheimer pathology in the form of amyloid proteins. In addition, visceral fat along with obesity and insulin resistance were associated with thinning of brain cortex, as early as midlife.
Tongyu Ma, Ph.D., MBBS, ACSM EP-C
Yuxia Wei[/caption]
Yuxia Wei | PhD Student
Unit of Epidemiology
Institute of Environmental Medicine
Karolinska Institutet
Stockholm | Sweden
MedicalResearch.com: What is the background for this study?
Response: Diabetes is traditionally known for having two types (type 1 diabetes and type 2 diabetes). However, it is becoming increasingly clear that diabetes is much more complex than this traditional classification. Several attempts have been made to address this heterogeneity and in 2018, a Swedish ground-breaking study proposed that there are five distinct subtypes of diabetes in adults. They have been replicated in different populations and it has been shown that there are differences between the subtypes in terms of genetics and risks of complications. Another way of elucidating the relevance of these subtypes is to investigate whether the influence of known risk factors for diabetes is different on different subtypes. Our study is one of the first attempts to address this. We used a study design known as Mendelian randomization, to investigate the influence of childhood obesity on these diabetes subtypes that typically occur after age 35. This work was a collaboration between Karolinska institutet in Stockholm, University of Bristol in the UK and Sun Yat-Sen University in China.
Dr. Malin[/caption]
Steven K. Malin, PhD, FACSM (he/him)
Associate Professor
Department of Kinesiology and Health | School of Arts and Sciences
Division of Endocrinology, Metabolism and Nutrition | Robert Wood Johnson Medical School
Institute of Translational Medicine and Science
New Brunswick, NJ 08901
MedicalResearch.com: What is the background for this study?
Response: Type 2 diabetes is a condition where blood glucose (sugar) is elevated in the blood. This can be problematic as it leads to blood vessel damage and the promotion of cardiovascular disease. Nearly 30 million people in the U.S. have type 2 diabetes, making it a major public health issue. The cause is not entirely clear, but many, including our team view insulin resistance as a central culprit.
Insulin resistance is when the body does not respond well to the hormone insulin. Insulin is vital because it promotes glucose uptake into tissues, like skeletal muscle. Two reasons that are often used to explain the development of insulin resistance include: poor diet (e.g. high sugar and/or high fat coupled with excess calories) and a lack of physical activity. However, more recently, a lack of sleep has been raised as another critical behavioral factor contributing to insulin resistance. Thus, targeting a healthy diet, activity and sleep pattern is thought to prevent the transition from health to insulin resistance and type 2 diabetes.
Prof. Koehler[/caption]
Prof. Dr. Karsten Koehler
Department of Sport and Health Sciences
Technical University of Munich
MedicalResearch.com: What is the background for this study?
Response: The primary background is the phenomenon that most people fail to loose (meaningful) weight through exercise alone, which is related to what we call compensatory eating – an increase in food intake to compensate for the increased energy expenditure of exercise. This is been described in a number of studies and is considered a key weight loss barrier – yet few have come up with solutions to overcome this problem. Therefore, we wanted to see if the timing of food choices has an impact on how much and what we want to eat in the context of exercise.
Dr. Grant[/caption]
Leilah K. Grant, PhD
Postdoctoral Research Fellow in Medicine
Brigham and Women’s Hospital
Harvard Medical School
MedicalResearch.com: What is the background for this study?
Response: The prevalence of obesity increases in women around the age of menopause which increases the risk of diseases like diabetes and heart disease. Changes in hormones, like estrogen, are thought to contribute to weight gain during menopause, but other common symptoms of menopause such as sleep interruption may also play a role. While short sleep is known to adversely affect metabolism, little is known about the metabolic consequences of the type of sleep disruption most common in menopausal women – increased nighttime awakenings (i.e., sleep interruption) caused by hot flashes, but no change in overall sleep duration. We therefore did this study to see how an experimental model menopause-related sleep interruption would affect metabolic outcomes that may contribute to weight gain. 
Dr. Crosbie[/caption]
Eric Crosbie, PhD, MA
Assistant Professor
School of Community Health Sciences
Ozmen Institute for Global Studies
University of Nevada Reno
MedicalResearch.com: What is the background for this study?
Response: My colleague Dr. Laura Schmidt and I established a framework for studying preemption (when a higher level of government limits the authority of lower levels to enact laws) by studying the 
Dr. Aronne[/caption]
Dr. Louis Aronne, MD, FACP
Chief Medical Officer, Intellihealth
Medical Director, Comprehensive Weight Control Center
Weill Cornell Medicine
MedicalResearch.com: What is the background for the study “Effect of an Online Weight Management Program Integrated With Population Health Management on Weight Change: A Randomized Clinical Trial”?
Response: More than 70% of U.S. adults have overweight or obesity. Online programs promoting lifestyle change have had some success in helping people achieve and maintain weight loss, but study results have been variable, and these programs have not been widely implemented in primary care. We studied the effectiveness of an online program we have developed (Intellihealth, formerly known as BMIQ) in routine primary care practices, both alone and integrated with population health management (with participants receiving additional support and outreach from nonclinical staff). The study’s objective was to determine whether a combined intervention integrating online weight management with population health management would increase weight loss at 12 months among primary care patients compared with the online program only and usual care.
Dr. Singh[/caption]
Gurmukh Singh, MD, PhD, MBA
Department of Pathology, Section of Clinical Pathology
Walter Shepeard Professor of Pathology
Section Chief, Clinical Pathology.
Associate Medical Director, Clinical Laboratory GRMC and
Children's Hospital of Georgia
MedicalResearch.com: What is the background for this study? Would you briefly explain what is meant by the obesity paradox?
Response: Obese people tend to get more diseases, such as hypertension, diabetes, cancer etc. However, when they get seriously ill, e.g., sick enough to require admission to intensive care treatment unit (ICU), obese people tend to have better outcomes than normal weight people.
Dr. Spann[/caption]
Marisa N. Spann, PhD, MPH
Columbia University Irving Medical Center
New York, New York
MedicalResearch.com: What is the background for this study?
Response: Prior research has demonstrated that higher maternal pre-pregnancy body mass index is associated with adverse long-term outcomes for offspring including obesity, poorer cognitive and social abilities, and increased risk of psychiatric disorders.
MedicalResearch.com: What are the main findings?
Response: In this study, we investigated the association of maternal pre-pregnancy body mass index with fetal growth and neonatal functional connectivity and found that maternal pre-pregnancy BMI has a significant positive correlation with fetal weight and with greater thalamic connectivity of the brain. 
