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The Health Effects of Obesity
Table 3 (continued)
Infl amma tory dermatoses
Cancer
Lymphedema
o Lower limbs and abdominal wall
Recurre nt cellulitis
o Lower limbs and abdominal wall; poor wound healing with
Hidradenitis suppurativa
Intertrigo and cutaneous infections (candida)
Psoriasis
Melanoma
Non-mela noma skin cancer (exc luding basal cell carcin oma)
prolonged hospitalizations
o Increases both risk and severity
29
Cosmetic
Signs of metabolic disturbance
Hematologic (15)
Rheumatologic/ Musculos keletal (26, 27)
Repr oducti ve (2 8)
Men
Women
Fertility treatment
Skin tags
Striae
Acanthosis nigricans (insulin resistance)
Acne, hirsutis m, androgenetic alopecia (hyperandrogenis m, poly cystic
ovarian syndro me )
Thromb oembolic disease
o Higher in hospitalized patients and women
o May be rela ted to immobility, endothelial dysfunctio n, and
Osteoarthritis
Degenerative joint disease
Plantar fasciitis
Low back pain
Carp al tunnel
Rheumatoid arthritis
Psoriatic arthritis
Ankylo sing spondylitis
Decreased testosterone
Erectile dysfunctio n
Poly cystic ovarian syndrome
Reduced natural fecundity/ increased time to conception (even in
Infertility
Anovulation / menstrual irregularities
Increased gonadotropin requirement
Lower oocyte yield in severe obesity
Reduced implantation rates, clin ical pregnancy rates and live birth rates
Increased pregnancy loss rate prior to 24 we eks gestation
If using egg donor, live birth rate per cycle is lower
Comp romised pelvic ultrasound imaging for oocyte retrieval
reduction in fibrinolysis
o Associated with wors e disease activity, in creased odds of non-
remission, worse functional ability and health-related quality of life
o Recognized as a risk factor and associated with wors e
treatment efficiency
o Associated with adverse outcomes
ovulatory women)
N. Ahmad30

6.2 Orthopedic Surgery Patients

Obesity is a risk factor for multiple musculoskeletal issues including knee osteoar­thritis. There has been an increase in total knee arthroplasties in patients with ele­vated BMI [32]. In these patients, obesity is associated with a functional recovery similar to those without obesity. However, there is a significant increase in mid- to long-term revision rates in those with severe obesity. Obesity also poses a higher risk of post-operative superficial wound infections and thromboembolism [32]. Many orthopedic surgeons recommend a BMI cut-off for knee replacements. As is the case in transplant medicine, the BMI cut-offs lead to increased demands for effective weight loss options in this population.

6.3 Pregnancy

Obesity impacts both maternal and neonatal health. Rates of miscarriage are higher in women with obesity irrespective of spontaneous conception or in vitro fertilization [28]. The rate of gestational diabetes doubles for BMI 30 kg/m2 and triples for BMI ≥40 kg/m2. Risk of pre-eclampsia doubles with overweight and triples with obesity. There is also a more than 30% chance of pre-term delivery (before 37 weeks) in women with obesity. The peripartum risks include a pro­longed first stage of labor, less success with vaginal birth after cesarean (VBAC), and increased rates of cesarean section delivery. Other obstetrical risks include increased fetal distress, instrumental deliveries, and shoulder dystocia. Wound infection and dehiscence, perinatal hemorrhage, and deep venous thrombosis are also more common in pregnant women with obesity. Neonatal effects of obesity include macrosomia and congenital anomalies, such as neural tube defects, oral clefts, hydrocephaly, anorectalatresia, limb reduction and cardiovascular anoma­lies [28].

6.4 Children and Adolescents

Much of the health effects of obesity in children and adolescents parallel those in adults. The increasing prevalence of obesity in children is therefore accompa­nied by an increase in type 2 diabetes, dyslipidemia, hypertension, non-alcoholic fatty liver disease (NAFLD), non-alcoholic steatohepatitis (NASH), and OSA [33]. There are, however, additional musculoskeletal and psychological considerations. Obesity during periods of growth can exert biomechanical forces leading to flat­foot, Blount’s disease, and slipped capital femoral epiphysis. Children with obe­sity also experience significant psychosocial distress thought to be related to lower self-esteem, social isolation, depressive symptoms, and body dissatisfaction [33].
The Health Effects of Obesity
31

7 Conclusion

Excess adiposity has widespread effects on health and well-being leading to sig­nificant morbidity and mortality. Obesity is not only a risk factor for numerous diseases, but it can also exacerbate underlying conditions leading to more severe symptoms, more rapid progression, and worse treatment prognosis. In some cases, obesity is even the primary cause of specific conditions such as obesity cardiomy­opathy, NAFLD/NASH, and obesity-related glomerulopathy. The extensive endo­crine and physical effects of excess and ectopic fat depots warrant a thoughtful and comprehensive assessment of the patient with obesity in clinical practice. The degree to which a therapy improves upon the many negative health effects of obe­sity also warrants evaluation, so the full risk–benefit of treatment is understood.

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900 000 adults: collaborative analyses of 57 prospective studies. Lancet. 2009;373:1083–96.
6. Berrington de Gonzalez A, Hartge P, Cerhan JR, et al. Body-mass index and mortality among
1.46 million white adults. N Engl J Med. 2010;363:2211–9.
7. Global BMI Mortality Collaboration, Di Angelantonio E, Bhupathiraju ShN, et al.
Body-mass index and all-cause mortality: individual-participant-data meta-analysis of 239 prospective studies in four continents. Lancet. 2016;388(10046):776–786. doi:https://doi.
org/10.1016/S0140-6736(16)30175-1
8. Kramer CK, Zinman B, Retnakaran R. Are metabolically healthy overweight and obe-
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10. Ortega FB, Lavie CJ, Blair SN. Obesity and Cardiovascular Disease. Circ Res.
2016;118(11):1752–70. https://doi.org/10.1161/CIRCRESAHA.115.306883.
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N. Ahmad32
14. Sebastian JC. Respiratory physiology and pulmonary complications in obesity. Best Pract
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kidney transplantation: obesity is independent of diabetes as a risk factor for adverse renal transplant outcomes. PLoS One. 2016;11(11):e0165712. Published 2016 Nov 16. https://doi.
org/10.1371/journal.pone.0165712.
30. Hasse J. Pretransplant obesity: a weighty issue affecting transplant candidacy and outcomes.
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for mechanical circulatory support: it's rarely appropriate. Am Coll Cardiol. June 29, 2015. Retrieved from https://www.acc.org/latest-in-cardiology/articles/2015/06/29/08/49/con-the-
obese-heart-failure-patient-as-candidate-for-mechanical-circulatory-support-its-rarely-appro­priate.
32. Boyce L, Prasad A, Barrett M, et al. The outcomes of total knee arthroplasty in mor-
bidly obese patients: a systematic review of the literature. Arch Orthop Trauma Surg. 2019;139(4):553–60. https://doi.org/10.1007/s00402-019-03127-5.
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Clin Endocrinol Metab. 2013;27(2):229–38. https://doi.org/10.1016/j.beem.2013.02.007.

Obesity and Body Mass Index

Eliana Al Haddad
1 Definition of Obesity
Obesity is a complex health issue that results from a combination of causes and contributing factors that include behavior (dietary patterns, inactivity, medication use), environment (food and physical activity environment, education and skills, food marketing and promotion) and genetics (family history, variants of genes responsible for hunger and satiety). The intricate intertwining of these factors plays a major role in the existence of obesity and health at the individual and com­munity level.
According to the Centre of Disease Control, in the year 2015–2016, obesity affected 93.3 million adults in the USA, making up 39.8% of the total population. This number has been showing a steady significant increase in the past decade, tri­pling since 1975, and demonstrating no sign of slowing down. This trend has been seen all over the world, with the estimated percentage of individuals aged 18 and above with a body mass index (BMI) of 30 and above in each of the Gulf countries as of 2014 proving to be 42.3% in Qatar, 39.7% in Kuwait, 37.2% in United Arab Emirates (UAE), 35.1% in Bahrain, 34.7 in Saudi Arabia, and 30.9% in Oman. When looking at he western counterparts, the USA showed 33.7%, New Zealand
29.2%, Australia 28.6%, the UK 28.1%, Mexico 28.1% and Canada showing obesity rates of 28% Obesity was also shown to affect people in the middle-aged group (40–59 years old) more than those considered to be in the young adult group (20–39 years old) with 42.8% of the former population proving to be defined as obese, versus 35.7% in the latter [1]. Due to the multiple comorbidities that have
E. Al Haddad (*) Columbia University Medical Centre, New York, USA e-mail: Eliana.h91@gmail.com
Amiri Hospital, Kuwait City, Kuwait
© The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2021 S. Al-Sabah et al. (eds.), Laparoscopic Sleeve Gastrectomy,
https://doi.org/10.1007/978-3-030-57373-7_4
33
E. Al Haddad34
BMI=weight(kg)/Height(m
)
Height(m
)
kg/m
2
been shown to be associated with obesity, alongside the burden of the disease itself, the estimated annual medical cost in the USA was shown to be $147 bil­lion in 2008 alone. This corresponded to a medical cost of $1,429 higher for peo­ple with obesity than those of normal weight [2]. Furthermore, it was shown that Hispanics (47%) and non-Hispanic blacks (46.8%) had the highest age-adjusted prevalence of obesity compared to other race populations (Figs. 1, 2, 3) [1]. So how do we define this debilitating condition that has affected such a large popula­tion of the world, and what can be done about it?

2 Obesity and BMI

Obesity/overweight is defined as a weight that is higher than what is considered a healthy weight for a given height, causing an abnormal or excess fat accumula­tion that may impair health [3]. Currently, the most widely used tool to assess the degree of obesity is the body mass index (BMI), which divides a person’s body weight in kilograms (kg) by their height in meters squared (m2).
=
The results of this calculation places people in specific weight categories as follows:
If the BMI is lower than 18.5, it falls in the underweight range.
If the BMI is between 18.5 and < 25, it is considered to be in the normal range.
If the BMI is between 25.0 and < 30, it is in the overweight range.
If the BMI is 30.0 and higher, it falls within the obese range.
Fig. 1 Prevalence of self-reported obesity among non-hispanic white adults, by State and Territory, BRFSS, 2016–2018
Obesity and Body Mass Index
Fig. 2 Prevalence of self-reported obesity among non-hispanic black adults, by State and Territory, BRFSS, 2016–2018
35
Fig. 3 Prevalence of self-reported obesity among hispanic adults, by State and Territory, BRFSS, 2016–2018
Obesity is also further subdivided into three class categories as follows:
Class 1 obesity is defined as a BMI ranging between 30 to < 35
Class 2 obesity is defined as a BMI ranging between 35 to < 40
Class 3 obesity is defined as a BMI of 40 or higher, and is considered “severe”
obesity.
E. Al Haddad36
weight loss / baseline excess weight
)
100
BMI provides the most useful population-level measure of overweight and obesity as it is the same for both sexes and for all ages of adults. However, at an individual level, BMI is not diagnostic of body fatness or the health of the individual, but can be thought of as more of a useful screening tool. Research has shown that BMI is only moderately correlated with more direct measures of body fat obtained from skinfold thickness measurements, bioelectrical impedance, underwater weighing, dual energy x-ray absorptiometry (DXA) and other methods [46]. Furthermore, even though change in BMI can be used to assess weight loss and gain, other measures that employ the use of BMI have proven to provide more accurate depic­tions of weight change with time.

3 Percent Excess Weight Loss (%EWL)

Weight loss has been reported in many ways and by various methods according to the entity reporting it (for example dieticians vs bariatric surgeons); however, the best method should allow for the most accurate comparisons between the broadest ranges of patients’ weight and population characteristics. One of the most widely used tools in the surgical community currently can be considered to be %EWL.
This is calculated using the following formula:
×
where weight loss = preoperative weight−current weight; baseline excess weight = preoperative weight − ideal weight, and where ideal weight = weight corresponding to a BMI of 25 kg/m2.
An advantage of %EWL is that it expresses weight loss that has been achieved relative to a defined goal. This goal is usually determined according to a BMI of 25 kg/m2. However, a major concern when employing this method is that the defi­nition of preoperative weight and ideal body weight can be ambiguous and vary between different studies and papers. Furthermore, the %EWL calculation can vary considerably if pre-operative weight is defined as the weight of the first visit, or the highest weight between first visit and the day of surgery. Ideal body weight (usually captured through the Metropolitan Life Tables) also varies depending upon which size body frame is used. As the Metropolitan Life Tables were originally created in the 1940s and have not been updated since 1983, many feel this method is outdated.

4 Percent Excess BMI loss (%EBMIL)

Due to the possible discrepancies previously discussed, experts from both the medical and surgical communities have proposed alternatives to %EWL. Percent excess BMI loss (%EBMIL) is one measure that is frequently used outside the United States and is favored by some experts.
Obesity and Body Mass Index
[
BMI/(Initial BMI
25
)
]
100
/
100
This is calculated using the following formula:
37
=
BMI is thought to be the easiest index of “fatness” when compared with hydro­densitometry studies [7, 8]. The accuracy of BMI continues to be challenged, how­ever, particularly as it relates to individuals with normal weight obesity (defined as a combination of normal BMI and high body fat content) and muscular body types. Furthermore, when compared to dual-energy x-ray absorptiometry (DXA), a recent paper revealed that BMI misclassified 25% of men and 48% of women [9]. It is for this reason that many experts feel that the accuracy of BMI in diagnosing obesity is extremely limited.

5 Percent of Total Weight Loss (%TWL)

One of the key issues in this debate is determining what constitutes successful weight loss. Currently, the medical community prefers the calculation of percent total weight loss (%TWL).
The following formula can be used to calculate this:
=
Initial Weight
(
Percent TWL is more accurate than kilograms of weight lost because it takes into account the fact that those with a high starting weight tend to lose more weight. Percent TWL can also be helpful to characterize reversal or prevention of obesity-related comorbidities. For example, in one diabetes prevention program, a seven-percent total weight loss prevented diabetes in 50% of the patients [10]. Also, a 10% total weight loss has been proven to produce improvements in a majority of metabolic and cardiac risk factors. One of the disadvantages of %TWL is that it does not take into account a therapeutic goal, nor does it express a patient’s desire of how much weight he or she might wish to lose [11].
Postop Weight
)−(
Initial Weight
)
(
)

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Youth: United States, 2015–2016. NCHS Data Brief. 2017;288:1–8.
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E. Al Haddad38
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time to change the way we report and discuss weight loss? Obesity (Silver Spring). 2009;17(4):619–21.