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Erschienen in: Obesity Surgery 12/2020

Open Access 09.08.2020 | Original Contributions

Influence of Body Mass Index and Gender on Stigmatization of Obesity

verfasst von: Christian Tapking, Laura Benner, Matthes Hackbusch, Svenja Schüler, Danny Tran, Gregor B. Ottawa, Katja Krug, Beat P. Müller-Stich, Lars Fischer, Felix Nickel

Erschienen in: Obesity Surgery | Ausgabe 12/2020

Abstract

Background

Stigmatization and discrimination of people with obesity due to their weight are a common problem that may lead to additional weight gain. This study evaluated the influence of different parameters on the stigmatization of obesity.

Material and Methods

Participants of six groups (general population, patients with obesity, medical students, physicians, nurses in training and nurses; n = 490) answered the short-form fat phobia scale (FPS) between August 2016 and July 2017. The influence of body mass index (BMI), gender and other factors on total scores and single adjective pairs was analyzed.

Results

A total of 490 participants were evaluated. The total mean FPS rating was 3.5 ± 0.6. FPS was significantly lower (more positive) in participants with obesity (3.2 ± 0.7) compared with participants without obesity (3.5 ± 0.5, p < 0.001). Individuals with obesity and diabetes rated the FPS significantly lower (more positive), whereas age and gender did not have a significant influence. Participants with obesity linked obesity more often with good self-control (p < 0.001), being shapely (p = 0.002), industrious (p < 0.001), attractive (p < 0.001), active (p < 0.001), self-sacrificing (p < 0.001) and having more willpower (p < 0.001) than the participants without obesity. Females rated more positive in shapely versus shapeless (p = 0.038) and attractive versus non-attractive (p < 0.001) than males.

Conclusions

The present study shows that stigmatization of obesity is present in medical professionals as well as the general population. People affected by obesity characterized other people with obesity more positively (e.g. attractive or active), whereas people without obesity linked negative characteristics with obesity. Gender had an influence only on single items of FPS but did not affect overall stigmatization of obesity.
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Introduction

As recently reported by the National Center of Health Statistics, the prevalence of obesity in adults in the USA increased from 30.5 to 42.4% from 1990 through 2017–2018 [1]. Individuals with obesity are generally more likely to face social problems and restrictions due to their weight compared with individuals without obesity. This includes stigmatization in healthcare, and during their education [26]. It has also been reported that people with obesity may experience denial of employment due to body weight or size [7]. Global stigmatization of obesity increased over the past decades, also in healthcare providers [8]. It is a growing concern given the increasing prevalence of obesity [4, 912]. The society often considers obesity a “lifestyle-disease” and individuals with obesity are regarded to be responsible (“their own fault”, “are inactive”, “don’t have self-control”) [1315]. Stereotypes connected with obesity were identified in former studies. Patients with obesity were considered to be lazy, noncompliant, unsuccessful, unintelligent and lacking of self-control [2, 13]. The opinion that obesity is a question of self-responsibility and little self-control for their weight is spread in the media as well [16]. This stigmatization is widespread in the society and can affect psychological and physical health [17]. Not limited to health, obesity stigma has been shown to impact socioeconomic status resulting in inequality, particularly in women and middle-aged individuals [18]. It has been shown that perceived stigmatization of people with obesity in the USA has increased by 66% since 1995 and is now on par with racial discrimination [10]. This common view leads to a widespread “fat phobia” in society and even within young professionals [4, 19, 20].
Stigmatism towards obesity was reported to be common in (future) medical professionals [20]. Physicians assume obese people to have poor hygiene, poor compliance and be unlikely to follow instructions such as taking their medication regularly [21, 22]. Studies have shown that medical students rated patients with obesity more often as ugly, lazy or sloppy [23, 24]. A recent meta-analysis reported the pooled prevalence of perceived discrimination towards weight to be 19.2% in people with a BMI between 30 and 35 kg/m2 and 41.8% in people with a BMI greater than 35 kg/m2, respectively [25]. These stigmatizations can impair the patients and individuals with obesity psychologically and make them more vulnerable to depression, isolation or economic hardship and this can even lead to overeating and a sedentary lifestyle [26].
People with obesity who are exposed to stigma may be vulnerable to psychological impairments such as depression, which could contribute to health outcomes such as cardiovascular diseases [26]. Initially, they may internalize the stereotypes and stigmas and develop an internal weight bias or self-stigma. This self-stigma results in low self-esteem and embarrassment about their weight. These individuals then suffer from dysregulated eating and poor weight management behaviours which eventually leads to increased binge eating and a poorer self-body image [27]. These problems continue to compound and lead to increased risk of psychologic problems such as depression, binge eating and anxiety [28]. Patients with obesity with the associated psychological problems are at risk for impaired and suboptimal health that leads to increased healthcare utilization [29]. However, it remains unknown how demographics such as age, profession, being obese and having other comorbidities influence the stigmatization of obesity. Furthermore, present studies generally draw an overall picture without addressing specific areas or characteristics where stigmatization is present, whereas the present study evaluates both healthcare and non-healthcare workers and other areas of possible influence. It is especially important to evaluate how medical professionals and people that suffer from obesity themselves see other patients with obesity. Additionally, the present study deals with the impact of various demographics on attitudes towards obesity. It is important to draw a more detailed picture of how people with obesity are seen in the society in order to overcome stigmatization and negative attitudes, which may prevent these individuals to receive appropriate medical care.
The present study aimed to analyze factors influencing the stigmatization towards obesity using the fat phobia scale (FPS) with focus on the influence of the participants’ body mass index (BMI), gender and other demographical characteristics. The present study is a secondary analysis of a randomized trial evaluating the influence of video teaching on stigmatization towards obesity in comparison to other chronic diseases [20].

Material and Methods

Between August 2016 and July 2017, individuals with different previous knowledge about obesity took the short-form FPS questionnaire and were asked about demographics such as weight, age, gender and comorbidities. The participants were individuals of the general population, patients with obesity, medical students, doctors, nurses in training and nurses. The participants were recruited in public places (general population), in an outpatient obesity clinic at the Hospital University Heidelberg (patients with obesity), during medicine seminars and lectures at the Medical Faculty of Heidelberg (medical students), in teachings in the nurses´ academy at Heidelberg and Baden-Baden (nurses in training) and at medical congresses and advanced training sessions (physicians and nurses). For further analysis, we defined people with obesity if they had a BMI ≥ 30 kg/m2 (according to self-reported height and weight) or they originated from the group of patients with obesity.

Fat Phobia Scale

In 1995, Robinson et al. created the FPS after defining fat phobia as the pathological fear of fatness associated with negative characteristics and stigmas towards individuals with obesity [30]. The FPS is a 50-item questionnaire that asks individuals to associate specific qualities with a person with obesity [30]. The short version developed by Bacon et al. that was used for this study includes 14 pairs of adjectives (one negative and one positive, e.g. active vs. inactive) with a ranking system of 1 (very positive) to 5 (very negative) for each [31]. To complete the shortened FPS, the participants were asked to rank a 42-year-old woman with a BMI of 31.9 kg/m2 (weight: 90 kg, height: 1.68 m) against those 14 pairs of adjectives. Averaging the value for the 14 single adjectives yields the value for the FPS.

Statistical Analysis

The characteristics of the study population are presented separately for the participants with and without obesity by mean and standard deviation or absolute and relative frequencies. Differences between the participants with and without obesity were compared by two-sided Welch tests for continuous outcomes and by chi-squared tests for categorical outcomes. Using multiple linear regression models, the influence of gender, obesity, age and diabetes mellitus on the FPS or its single items, respectively, was examined. Missing values were not imputed. This was for example the case in participants that did not specify their gender (n = 12, 2.4%). Due to the exploratory character of the study, no multiplicity adjustment was conducted, and p values are interpreted in a descriptive manner. Statistical analyses were conducted using R version 3.6.1 [32]

Results

A total of 490 participants answered the fat phobia scale. Of these, 81 (16.5%) people from the general population, 82 (16.7%) patients visiting the obesity outpatient clinic, 76 (15.5%) medical students, 84 (17.1%) physicians, 89 (18.2%) nurses in training and 78 (15.9%) nurses were evaluated. In average, participants with obesity (30.0 ± 11.5 years) were significantly younger than participants without obesity (43.5 ± 14.1 years, p < 0.020) but there were no differences regarding gender. General characteristics of the study population are shown in Table 1.
Table 1
General characteristics of the study group
Variable baseline
Obesity
p value
Total
No
Yes
n (%)
490 (100)
380 (77.6)
110 (22.4)
 
Age
  Mean (SD)
33.0 ± 13.4
30.0 ± 11.5
43.5 ± 14.1
< 0.0011
Body mass index
  Mean (SD)
26.0 ± 8.4
22.7 ± 2.8
37.7 ± 10.6
< 0.0011
Gender
  Male, n (%)
169 (34.5)
133 (35.0)
36 (32.7)
0.7342
  Female, n (%)
309 (63.1)
239 (62.9)
70 (63.6)
  Not specified
12 (2.4)
8 (2.1)
4 (3.6)
Fat phobia scale
  Mean (SD)
3.5 ± 0.6
3.5 ± 0.5
3.2 ± 0.7
< 0.0011
Study group, n (%)
< 0.0012
  General population
81 (16.5)
78 (20.5)
3 (2.7)
 
  Obese patients
82 (16.7)
0
82 (74.5)
  Medical students
76 (15.5)
76 (20.0)
0
  Physicians
84 (17.1)
79 (20.8)
5 (4.5)
  Nurses in training
89 (18.2)
82 (21.6)
7 (6.4)
  Nurses
78 (15.9)
65 (17.1)
13 (11.8)
n, number; SD, standard deviation
1Welch ANOVA
2Chi-squared test

Total Fat Phobia Scale

The mean of the total fat phobia scale ratings was 3.5 ± 0.6 and was significantly lower (more positive) in participants with obesity (3.2 ± 0.7) compared with participants without obesity (3.5 ± 0.5, p < 0.001, Table 1).
In the linear regression analysis with the dependent variable “total fat phobia scale”, individuals with obesity and those suffering from diabetes mellitus rated the FPS significantly lower (more positive). The participants’ age and gender did not have a significant influence on total FPS ratings (Table 2). Other comorbidities than diabetes did not yield any relevant associations.
Table 2
Regression analysis of total fat phobia scale
 
B-value
CI
Std. Error
p value
(Intercept)
3.678
3.509, 3.847
0.086
< 0.001
Gender female (reference male)
− 0.051
− 0.156, 0.055
0.054
0.346
Obese
− 0.357
− 0.493, − 0.222
0.069
< 0.001
Age
− 0.001
− 0.005, 0.003
0.002
0.602
Diabetes Mellitus
− 0.153
− 0.254, − 0.051
0.052
0.003
B-value, estimate; CI, confidence interval

Single Adjective Pairs

Linear regression analyses were also performed for each adjective pair (Table 3). Participants with obesity linked other individuals with obesity more often with good self-control (p < 0.001), being shapely (p = 0.002), industrious (p < 0.001), attractive (p < 0.001), active (p < 0.001), strong (p = 0.004), self-sacrificing (p < 0.001), fast (p < 0.001), having more willpower (p < 0.001) and endurance (p < 0.001). Participants with female gender rated more positive in shapely versus shapeless (p = 0.038) and attractive versus non-attractive (p < 0.001). There were no gender differences in other adjective pairs. Having diabetes was a significant parameter for more positive rating regarding self-control (p = 0.012), attractiveness (p = 0.022), industriousness (p = 0.004), being fast (p = 0.036), active (p = 0.015) and strong (p = 0.014).
Table 3
Regression analysis of individual adjective pairs of the fat phobia scale
 
B-value
CI
Std. Error
p value
B-value
CI
Std. Error
p value
 
Good self-control vs. poor self-control
Shapely vs. shapeless
  (Intercept)
3.497
3.258, 3.735
0.121
< 0.001
3.951
3.659, 4.242
0.148
< 0.001
  Gender female (reference male)
0.019
− 0.129, − 0.168
0.076
0.797
− 0.192
− 0.373, − 0.01
0.092
0.038
  Obese
− 0.368
− 0.559, − 0.177
0.097
< 0.001
− 0.365
− 0.597, − 0.132
0.118
0.002
  Age
− 0.004
− 0.01, 0.002
0.003
0.244
− 0.002
− 0.01, 0.005
0.004
0.524
  Diabetes mellitus
− 0.182
− 0.325, − 0.04
0.072
0.012
− 0.141
− 0.314, 0.033
0.088
0.113
 
Industrious vs. lazy
Attractive vs. non-attractive
  (Intercept)
3.713
3.346, 3.961
0.126
< 0.001
3.957
3.676, 4.237
0.143
< 0.001
  Gender female (reference male)
− 0.077
− 0.231, 0.077
0.078
0.325
− 0.434
− 0.608, − 0.259
0.089
< 0.001
  Obese
− 0.490
− 0.688, − 0.292
0.101
< 0.001
− 0.524
− 0.749, − 0.299
0.115
< 0.001
  Age
− 0.009
− 0.015, − 0.003
0.003
0.005
0.001
− 0.006, 0.008
0.004
0.740
  Diabetes mellitus
− 0.218
− 0.366, − 0.07
0.075
0.004
− 0.195
− 0.363, − 0.028
0.085
0.022
 
Willpower vs. no willpower
Self-confident vs. not self-confident
  (Intercept)
3.696
3.434, 3.958
0.133
< 0.001
3.468
3.186, 3.751
0.144
< 0.001
  Gender female (reference male)
− 0.118
− 0.281, 0.046
0.083
0.158
− 0.014
− 0.19, 0.162
0.090
0.876
  Obese
− 0.384
− 0.594, − 0.175
0.107
< 0.001
− 0.076
− 0.3, 0.154
0.115
0.526
  Age
− 0.009
− 0.01, 0.004
0.003
0.005
− 0.001
− 0.008, 0.007
0.004
0.867
  Diabetes mellitus
− 0.070
− 0.226, 0.087
0.080
0.381
− 0.161
− 0.329, 0.08
0.086
0.061
 
Fast vs. slow
Having endurance vs. having no endurance
  (Intercept)
3.861
3.616, 4.105
0.125
< 0.001
4.241
3.978, 4.505
0.134
< 0.001
  Gender female (reference male)
− 0.069
− 0.222, 0.084
0.078
0.376
− 0.096
− 0.26, 0.068
0.083
0.250
  Obese
− 0.473
− 0.669, − 0.278
0.100
< 0.001
− 0.377
− 0.587, − 0.166
0.107
< 0.001
  Age
− 0.003
− 0.009, 0.004
0.003
0.421
− 0.011
− 0.017, − 0.004
0.003
0.001
  Diabetes mellitus
− 0.157
− 0.304, − 0.011
0.075
0.036
− 0.077
− 0.234, 0.08
0.080
0.337
 
Active vs. inactive
Strong vs. weak
  (Intercept)
3.738
3.483, 3.994
0.130
< 0.001
2.955
2.706, 3.204
0.127
< 0.001
  Gender female (reference male)
− 0.124
− 0.283, 0.034
0.081
0.123
− 0.013
− 0.168, 0.142
0.079
0.867
  Obese
− 0.431
− 0.635, − 0.226
0.104
< 0.001
− 0.294
− 0.492, − 0.096
0.101
0.004
  Age
− 0.001
− 0.007, 0.006
0.003
0.810
0.007
0.001, 0.013
0.003
0.028
  Diabetes mellitus
− 0.189
− 0.341, − 0.037
0.077
0.015
− 0.187
− 0.335, − 0.038
0.076
0.014
 
Self-sacrificing vs. self-indulgent
Dislikes food vs. likes food
  (Intercept)
3.279
3.062, 3.496
0.111
< 0.001
4.167
3.855, 4.48
0.159
< 0.001
  Gender female (reference male)
0.029
− 0.107, 0.165
0.069
0.673
< 0.001
− 0.194, 0.195
0.099
0.998
  Obese
− 0.410
− 0.585, − 0.236
0.089
< 0.001
− 0.322
− 0.571, − 0.073
0.127
0.011
  Age
0.005
0, 0.011
0.003
0.050
− 0.006
− 0.013, 0.002
0.004
0.157
  Diabetes mellitus
− 0.076
− 0.206, 0.054
0.066
0.252
− 0.081
− 0.267, 0.105
0.095
0.391
 
Undereats vs. overeats
Secure vs. insecure
  (Intercept)
3.925
3.641, 4.21
0.145
< 0.001
3.526
3.248, 3.804
0.142
< 0.001
  Gender female (reference male)
− 0.008
− 0.186, 0.169
0.090
0.929
0.052
− 0.122, 0.226
0.089
0.556
  Obese
− 0.416
− 0.643, − 0.189
0.116
< 0.001
− 0.105
− 0.327, 0.117
0.113
0.353
  Age
0.000
− 0.007, 0.007
0.004
0.949
− 0.004
− 0.011, 0.003
0.004
0.275
  Diabetes mellitus
− 0.022
− 0.192, 0.148
0.086
0.803
− 0.057
− 0.223, 0.109
0.085
0.500
B-value, estimate; CI, confidence interval

Discussion

In the present study, we were able to analyze the influence of different demographic characteristics on stigmatization of obesity using the German FPS short form. Our results show that participants with obesity rated the FPS lower (more positive) than participants without obesity, meaning that they link themselves to more positive characteristics. Gender and age did not have a significant impact on mean FPS ratings. However, when looking at single adjective pairs, female gender was associated with rating individuals with obesity as more attractive and shapelier. Furthermore, those participants that suffered from diabetes mellitus reported lower FPS ratings than their respective counterparts.
A study by Stein et al. defined values < 2.5 as rather positive or neutral and values > 2.5 as rather negative [33]. The mean FPS value of the participants in the present study was rather high (3.5 ± 0.6) indicating an overall negative picture towards obesity. Participants with obesity showed less fat phobia in total and also in most of the single adjective pairs compared with their counterparts without obesity. This is in line with the results from a telephone-based study in Germany, in which a more positive view of obesity was reported when asking individuals with obesity themselves [34]. This study by Sikorski et al. with 3003 participants showed that overweight individuals or those with partners with obesity or overweight reported less negative positions towards obesity. Internal causes such as lack of activity or eating behaviour were frequently named for adults with obesity, whereas external factors such as education or behaviour of the parents were named for children with obesity. The negative stigma that is associated with obesity as a disease is a major barrier for patients and their relatives to accept it as a disease and to seek professional treatment [35, 36]. Puhl et al. and Nickel et al. reported a high degree of stigmatization among healthcare professionals [17, 20, 37]. It has also been reported that obesity is among the most common forms of discrimination besides gender, race and sexual orientation [38]. This shows that even those who should know about obesity as a chronic disease and are often confronted with these patients associate negative characteristics and mainly self-responsibility with obesity. The results from a randomized study with 949 participants by Nickel et al. indicate that interventions or campaigns providing neutral information on obesity to medical professionals and the general population can reduce “fat phobia” and increase the appreciation for obesity as a chronic disease that needs professional treatment [20].
In the present study, there were no differences in gender or age regarding the total fat phobia scale. However, participants that reported to suffer from diabetes mellitus had lower scores (more positive) in the fat phobia scale. In a study by Puhl et al., there were also no differences between males and females regarding types or frequency of stigmatization [39]. However, Nickel et al. reported that female and younger participants regularly rated the burden of obesity and the impact on the daily life higher than their male and older counterparts [20]. The finding that participants that suffer from diabetes mellitus rated people with obesity more positive can be due to the fact many people with obesity present with diabetes mellitus as a comorbidity. Also, people that experiences the impairments and difficulties of having a chronic disease could feel sympathy for others that experience similar diseases.
Looking at the individual adjective pairs, participants with obesity linked the more positive adjective to people with obesity in 12 out of 14 pairs compared with participants with normal weight. Characteristics such as being industrious and having willpower were also more frequently attributed by younger compared with older participants. In other studies that reported on the stigmatization of patients with obesity by practitioners towards, these people were described as lazier and having less willpower than their normal weight counterparts [40]. Characteristics such as “laziness” or “inactivity” are often linked to obesity. Kreuser et al. have reported that indeed children with obesity were less active than their normal weight counterparts, assuming that they did not reach the amount of physical activity to prevent overweight [41]. It was reported people find individuals with obesity less attractive than their normal weight counterparts [42], which was also shown in the present study where participants without obesity attributed the adjective non-attractive more often to participants without obesity. However, these kind of studies may contribute to stereotypes in the general population and other groups [17].
A pooled analysis by the NCD Risk Factor Collaboration involving 19.2 adults discovered a large increase in the prevalence of obesity from 1974 to 2014 [43]. It was recently reported by the National Center of Health Statistics that the prevalence of obesity in US-American adults increased from 30.5 to 42.4% from 1990 through 2017–2018 [1]. This finding foreshadows the influence obesity will have on healthcare systems and emphasizes the importance and need for target-orientated handling of this problem today. Obesity treatment, especially surgical options, can not only help to decrease BMI and improve obesity-related diseases [4448] but also leads to a higher quality of life [4953]. However, it has been shown that stigmatization and weight bias can interfere with the ability of patients with obesity to achieve optimal health via treatment options [54]. This is underlined by a study from Sikorski et al. that showed that children with obesity are being stigmatized compared with adults with obesity when using the FPS, even though mostly external factors are considered for paediatric obesity [34]. This highlights the fact that especially children suffer the most of stigmatization even though they are not made responsible themselves. Nickel et al. reported that only patients affected by obesity mention a high need for professional treatment [20].
Because of the impact treatment can have on obesity, it is important to address how healthcare professionals and laymen view and handle patients with obesity. Furthermore, healthcare professionals are supposed to guide people with obesity through the process of losing weight including offering psychological support. This is why it is important that stigmatization does not interfere with professional healthcare [8, 55]. Results from our study indicate that healthcare professionals still stigmatize patients with obesity same the general population would and connects overall negative characteristics with these patients. Furthermore, a different study suggested that some dieticians considered their patients with obesity as “less receptive, less motivated and as having a lower ability to understand and sustain recommendations” [56]. These feelings could be attributed to the lack of proper training. A survey found that Israelian family physicians who commonly saw patients with obesity in clinic felt that they were not adequately trained and had insufficient knowledge regarding nutritional and pharmacologic interventions to help their patients [57]. Another article reports similar results in the USA [58]. Proper training of physicians and nurses may lead to improved stigmatization and ultimately effective treatment of obesity. Even though it has been shown that bariatric surgery is the most effective treatment for long-term weight loss, the general population was shown to classify surgery as non-effective or not recommended and were furthermore unsure of its risks [5961]. To date, there are only few studies reporting on interventions to reduce weight-related stigmatization [8, 62]. This needs to be a central aim of future studies, especially when considering the discrimination of people with obesity that has been reported in both healthcare and non-healthcare workers in the present study and in other studies.

Limitations

Most studies using the FPS are based on samples of specific groups in healthcare. However, the mean FPS score was comparable with other studies that assessed other groups such as nutritionists or psychology students. Furthermore, a part of the participants (6.3%) did not answer the FPS completely. People with obesity are stigmatized partly because they are blamed for their condition. The inclusion and comparison of groups where blame is part of the stigmatization may help to differentiate this effect [63]. Even though the fat phobia scale in the short form was developed in 2001 (before the rise of bariatric surgery), it still reflects main characteristics that are connected to people with obesity such as laziness, overeating and non-attractiveness as for example recently published by Robstad et al. [64] and Reddon et al. [65]. These and other studies on the contrary often used self-developed questionnaires which were not validated or were only used in smaller cohorts compared with the fat phobia scale. In order to be able to compare our results with those that have already been published, we therefore decided to use the fat phobia scale for wide comparability.
People who regularly visit outpatient clinics for obesity and medical staff have already received lots of information about this topic and may be biased when answering the FPS. This is particularly true for the patients with obesity that were evaluated in this study at the outpatient clinic. Because of their knowledge about the topic, the patients with obesity in the study may not accurately represent the overall group of people with obesity.
Another limitation is the non-standardized sampling method that was due to the design of this study that aimed to include participants from different professions in the health sector. However, with using linear regression models, a certain standardization towards general demographics was achieved.

Conclusion

The findings of the present study indicate that fat phobia is generally present in medical professionals as well as the general population. People with obesity are still presumed to have rather negative characteristics associated with them by others. Characteristics such as “laziness” or “inactivity” were linked to patients with obesity in the present study. Especially people that are obese themselves have a more positive picture of individuals with obesity. Gender seems to play a secondary role only regarding certain items of stigmatization. The overall stigmatization of obesity is a major issue as it can greatly impede treatment progress and success for patients with obesity. Negative characteristics that are not true per se are connected more frequently. These findings show the need for both medical professionals and the general population to be informed in detail about the impact, risks and the treatment of obesity in order to effectively decrease the stigmatization and increase the awareness of adequate treatment and prevention. Anti-stigmatization campaigns and other interventions among the general population could help to effectively reduce stigmatization of obesity.

Acknowledgements

We would like to thank the students and teaching staff of the bachelor degree program “Interprofessional Health Care” at the Faculty of Medicine Heidelberg, University of Heidelberg. Their contribution took place within a specific module focused on research-based learning. We could not have succeeded without their support, in particular at the design and data collection stages. We furthermore thank Mr. Berend Schlüter of the Nursing School at the Hospital Mittelbaden for his support in conducting the study.

Compliance with Ethical Standards

Conflict of Interest

The authors declare that they have no conflict of interest.
Written informed consent was obtained from all individual participants included in the present study.

Ethical Approval

All procedures performed in studies involving human participants were in accordance with the ethical standards of the institutional and/or national research committee and with the 1964 Helsinki declaration and its later amendments or comparable ethical standards. Ethical approval was obtained from the local ethics committee at Heidelberg University (S-381/2016).
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Literatur
2.
Zurück zum Zitat Puhl RM, Heuer CA. Weight bias: a review and update. Obesity. 2009;17(5):941–64.PubMed Puhl RM, Heuer CA. Weight bias: a review and update. Obesity. 2009;17(5):941–64.PubMed
3.
Zurück zum Zitat Berryman DE, Dubale GM, Manchester DS, et al. Dietetics students possess negative attitudes toward obesity similar to nondietetics students. J Am Diet Assoc. 2006;106:1678–82.PubMed Berryman DE, Dubale GM, Manchester DS, et al. Dietetics students possess negative attitudes toward obesity similar to nondietetics students. J Am Diet Assoc. 2006;106:1678–82.PubMed
4.
Zurück zum Zitat Pantenburg B, Sikorski C, Luppa M, et al. Medical students’ attitudes towards overweight and obesity. PLoS One. 2012;7(11), e48113 Pantenburg B, Sikorski C, Luppa M, et al. Medical students’ attitudes towards overweight and obesity. PLoS One. 2012;7(11), e48113
5.
Zurück zum Zitat Poon MY, Tarrant M. Obesity: attitudes of undergraduate student nurses and registered nurses. J Clin Nurs. 2009;18(16):2355–65.PubMed Poon MY, Tarrant M. Obesity: attitudes of undergraduate student nurses and registered nurses. J Clin Nurs. 2009;18(16):2355–65.PubMed
6.
Zurück zum Zitat Cohen R, Shikora S. Fighting weight bias and obesity stigma: a call for action. Obes Surg. 2020;30(5):1623–4.PubMed Cohen R, Shikora S. Fighting weight bias and obesity stigma: a call for action. Obes Surg. 2020;30(5):1623–4.PubMed
7.
Zurück zum Zitat Pearl RL. Weight bias and stigma: public health implications and structural solutions. Soc Issues Policy Rev. 2018;12(1):146–82. Pearl RL. Weight bias and stigma: public health implications and structural solutions. Soc Issues Policy Rev. 2018;12(1):146–82.
8.
Zurück zum Zitat Puhl RM, Himmelstein MS, Pearl RL. Weight stigma as a psychosocial contributor to obesity. Am Psychol. 2020;75(2):274–89.PubMed Puhl RM, Himmelstein MS, Pearl RL. Weight stigma as a psychosocial contributor to obesity. Am Psychol. 2020;75(2):274–89.PubMed
9.
Zurück zum Zitat WHO. Obesity: preventing and managing the global epidemic. Report of a WHO consultation. World Health Organ Tech Rep Ser. 2000;894:i–xii. 1–253 WHO. Obesity: preventing and managing the global epidemic. Report of a WHO consultation. World Health Organ Tech Rep Ser. 2000;894:i–xii. 1–253
10.
Zurück zum Zitat Andreyeva T, Puhl RM, Brownell KD. Changes in perceived weight discrimination among Americans, 1995-1996 through 2004-2006. Obesity. 2008;16(5):1129–34.PubMed Andreyeva T, Puhl RM, Brownell KD. Changes in perceived weight discrimination among Americans, 1995-1996 through 2004-2006. Obesity. 2008;16(5):1129–34.PubMed
11.
Zurück zum Zitat Brewis A, SturtzSreetharan C, Wutich A. Obesity stigma as a globalizing health challenge. Glob Health. 2018;14(1):20. Brewis A, SturtzSreetharan C, Wutich A. Obesity stigma as a globalizing health challenge. Glob Health. 2018;14(1):20.
12.
Zurück zum Zitat Jung FU, Luck-Sikorski C, König HH, et al. Stigma and knowledge as determinants of recommendation and referral behavior of general practitioners and internists. Obes Surg. 2016;26(10):2393–401.PubMed Jung FU, Luck-Sikorski C, König HH, et al. Stigma and knowledge as determinants of recommendation and referral behavior of general practitioners and internists. Obes Surg. 2016;26(10):2393–401.PubMed
13.
Zurück zum Zitat Puhl RM, Brownell KD. Bias, discrimination, and obesity. Obes Res. 2001;9(12):788–805.PubMed Puhl RM, Brownell KD. Bias, discrimination, and obesity. Obes Res. 2001;9(12):788–805.PubMed
14.
Zurück zum Zitat Foster GD, Wadden TA, Makris AP, et al. Primary care physicians’ attitudes about obesity and its treatment. Obes Res. 2003;11(10):1168–77.PubMed Foster GD, Wadden TA, Makris AP, et al. Primary care physicians’ attitudes about obesity and its treatment. Obes Res. 2003;11(10):1168–77.PubMed
15.
Zurück zum Zitat Luck-Sikorski C, Riedel-Heller SG, Phelan JC. Changing attitudes towards obesity – results from a survey experiment. BMC Public Health. 2017;17:373.PubMedPubMedCentral Luck-Sikorski C, Riedel-Heller SG, Phelan JC. Changing attitudes towards obesity – results from a survey experiment. BMC Public Health. 2017;17:373.PubMedPubMedCentral
16.
Zurück zum Zitat Bonfiglioli CM, Smith BJ, King LA, et al. Choice and voice: obesity debates in television news. Med J Aust. 2007;187(8):442–5.PubMed Bonfiglioli CM, Smith BJ, King LA, et al. Choice and voice: obesity debates in television news. Med J Aust. 2007;187(8):442–5.PubMed
17.
Zurück zum Zitat Puhl RM, Heuer CA. Obesity stigma: important considerations for public health. Am J Public Health. 2010;100(6):1019–28.PubMedPubMedCentral Puhl RM, Heuer CA. Obesity stigma: important considerations for public health. Am J Public Health. 2010;100(6):1019–28.PubMedPubMedCentral
18.
Zurück zum Zitat Zhang Q, Wang Y. Socioeconomic inequality of obesity in the United States: do gender, age, and ethnicity matter? Soc Sci Med. 2004;58(6):1171–80.PubMed Zhang Q, Wang Y. Socioeconomic inequality of obesity in the United States: do gender, age, and ethnicity matter? Soc Sci Med. 2004;58(6):1171–80.PubMed
19.
Zurück zum Zitat Bacardía Gascón M, Jiménez-Cruz A, Castillo-Ruiz O, et al. Fat phobia in Mexican nutrition students. Nutr Hosp. 2015;32(6):2956–7.PubMed Bacardía Gascón M, Jiménez-Cruz A, Castillo-Ruiz O, et al. Fat phobia in Mexican nutrition students. Nutr Hosp. 2015;32(6):2956–7.PubMed
20.
Zurück zum Zitat Nickel F, Tapking C, Benner L, et al. Video teaching leads to improved attitudes towards obesity-a randomized study with 949 participants. Obes Surg. 2019;29(7):2078–86.PubMed Nickel F, Tapking C, Benner L, et al. Video teaching leads to improved attitudes towards obesity-a randomized study with 949 participants. Obes Surg. 2019;29(7):2078–86.PubMed
21.
Zurück zum Zitat Klein D, Najman J, Kohrman AF, et al. Patient characteristics that elicit negative responses from family physicians. J Fam Pract. 1982;14(5):881–8.PubMed Klein D, Najman J, Kohrman AF, et al. Patient characteristics that elicit negative responses from family physicians. J Fam Pract. 1982;14(5):881–8.PubMed
22.
Zurück zum Zitat Drury CA, Louis M. Exploring the association between body weight, stigma of obesity, and health care avoidance. J Am Acad Nurse Pract. 2002;14(12):554–61.PubMed Drury CA, Louis M. Exploring the association between body weight, stigma of obesity, and health care avoidance. J Am Acad Nurse Pract. 2002;14(12):554–61.PubMed
23.
Zurück zum Zitat Wigton RS, McGaghie WC. The effect of obesity on medical students’ approach to patients with abdominal pain. J Gen Intern Med. 2001;16(4):262–5.PubMedPubMedCentral Wigton RS, McGaghie WC. The effect of obesity on medical students’ approach to patients with abdominal pain. J Gen Intern Med. 2001;16(4):262–5.PubMedPubMedCentral
24.
Zurück zum Zitat Andrade AD, Ruiz JG, Mintzer MJ, et al. Medical students’ attitudes toward obese patient avatars of different skin color. Stud Health Technol Inform. 2012;173:23–9.PubMed Andrade AD, Ruiz JG, Mintzer MJ, et al. Medical students’ attitudes toward obese patient avatars of different skin color. Stud Health Technol Inform. 2012;173:23–9.PubMed
25.
Zurück zum Zitat Spahlholz J, Baer N, König HH, et al. Obesity and discrimination - a systematic review and meta-analysis of observational studies. Obes Rev. 2016;17(1):43–55.PubMed Spahlholz J, Baer N, König HH, et al. Obesity and discrimination - a systematic review and meta-analysis of observational studies. Obes Rev. 2016;17(1):43–55.PubMed
26.
Zurück zum Zitat Puhl RM, Brownell KD. Psychosocial origins of obesity stigma: toward changing a powerful and pervasive bias. Obes Rev. 2003;4(4):213–27.PubMed Puhl RM, Brownell KD. Psychosocial origins of obesity stigma: toward changing a powerful and pervasive bias. Obes Rev. 2003;4(4):213–27.PubMed
27.
Zurück zum Zitat Carels RA, Wott CB, Young KM, et al. Implicit, explicit, and internalized weight bias and psychosocial maladjustment among treatment-seeking adults. Eat Behav. 2010;11(3):180–5. Epub 2010/03/21PubMed Carels RA, Wott CB, Young KM, et al. Implicit, explicit, and internalized weight bias and psychosocial maladjustment among treatment-seeking adults. Eat Behav. 2010;11(3):180–5. Epub 2010/03/21PubMed
28.
Zurück zum Zitat Luppino FS, de Wit LM, Bouvy PF, et al. Overweight, obesity, and depression: a systematic review and meta-analysis of longitudinal studies. Arch Gen Psychiatry. 2010;67(3):220–9.PubMed Luppino FS, de Wit LM, Bouvy PF, et al. Overweight, obesity, and depression: a systematic review and meta-analysis of longitudinal studies. Arch Gen Psychiatry. 2010;67(3):220–9.PubMed
29.
Zurück zum Zitat Hilbert A, Braehler E, Haeuser W, et al. Weight bias internalization, core self-evaluation, and health in overweight and obese persons. Obesity (Silver Spring). 2014;22(1):79–85. Epub 2013/09/10 Hilbert A, Braehler E, Haeuser W, et al. Weight bias internalization, core self-evaluation, and health in overweight and obese persons. Obesity (Silver Spring). 2014;22(1):79–85. Epub 2013/09/10
30.
Zurück zum Zitat Robinson BE, Bacon JG, O’Reilly J. Fat phobia: measuring, understanding and changing anti-fat attitudes. Int J Eat Disord. 1993;14(4):467–80.PubMed Robinson BE, Bacon JG, O’Reilly J. Fat phobia: measuring, understanding and changing anti-fat attitudes. Int J Eat Disord. 1993;14(4):467–80.PubMed
31.
Zurück zum Zitat Bacon JG, Scheltema KE, Robinson BE. Fat phobia scale revisited: the short form. Int J Obes. 2001;25(2):252–7. Bacon JG, Scheltema KE, Robinson BE. Fat phobia scale revisited: the short form. Int J Obes. 2001;25(2):252–7.
32.
Zurück zum Zitat R Core Team. A language and environment for statistical computing. In: Team RC, editor.: R Foundation for Statistical Computing, Vienna, Austria; 2015. R Core Team. A language and environment for statistical computing. In: Team RC, editor.: R Foundation for Statistical Computing, Vienna, Austria; 2015.
33.
Zurück zum Zitat Stein J, Luppa M, Ruzanska U, et al. Measuring negative attitudes towards overweight and obesity in the German population – psychometric properties and reference values for the German short version of the fat phobia scale (FPS). PLoS One. 2014;9(12), e114641 Stein J, Luppa M, Ruzanska U, et al. Measuring negative attitudes towards overweight and obesity in the German population – psychometric properties and reference values for the German short version of the fat phobia scale (FPS). PLoS One. 2014;9(12), e114641
34.
Zurück zum Zitat Sikorski C, Luppa M, König HH, et al. Obese children, adults and senior citizens in the eyes of the general public: results of a representative study on stigma and causation of obesity. PLoS One. 2012;7(10):e46924.PubMedPubMedCentral Sikorski C, Luppa M, König HH, et al. Obese children, adults and senior citizens in the eyes of the general public: results of a representative study on stigma and causation of obesity. PLoS One. 2012;7(10):e46924.PubMedPubMedCentral
35.
Zurück zum Zitat Malterud K, Ulriksen K. Obesity, stigma, and responsibility in health care: a synthesis of qualitative studies. Int J Qual Stud Health Well-being. 2011;6(4) Malterud K, Ulriksen K. Obesity, stigma, and responsibility in health care: a synthesis of qualitative studies. Int J Qual Stud Health Well-being. 2011;6(4)
36.
Zurück zum Zitat DeJong W. The stigma of obesity: the consequences of naive assumptions concerning the causes of physical deviance. J Health Soc Behav. 1980;21(1):75–87.PubMed DeJong W. The stigma of obesity: the consequences of naive assumptions concerning the causes of physical deviance. J Health Soc Behav. 1980;21(1):75–87.PubMed
37.
Zurück zum Zitat Puhl RM, Heuer CA. The stigma of obesity: a review and update. Obesity. 2009;17(5):941–64.PubMed Puhl RM, Heuer CA. The stigma of obesity: a review and update. Obesity. 2009;17(5):941–64.PubMed
38.
Zurück zum Zitat Puhl RM, Andreyeva T, Brownell KD. Perceptions of weight discrimination: prevalence and comparison to race and gender discrimination in America. Int J Obes. 2008;32(6):992–1000. Puhl RM, Andreyeva T, Brownell KD. Perceptions of weight discrimination: prevalence and comparison to race and gender discrimination in America. Int J Obes. 2008;32(6):992–1000.
39.
Zurück zum Zitat Puhl RM, Brownell KD. Confronting and coping with weight stigma: an investigation of overweight and obese adults. Obesity. 2006;14(10):1802–15.PubMed Puhl RM, Brownell KD. Confronting and coping with weight stigma: an investigation of overweight and obese adults. Obesity. 2006;14(10):1802–15.PubMed
40.
Zurück zum Zitat Bocquier A, Verger P, Basdevant A, et al. Overweight and obesity: knowledge, attitudes, and practices of general practitioners in France. Obes Res. 2005;13(4):787–95.PubMed Bocquier A, Verger P, Basdevant A, et al. Overweight and obesity: knowledge, attitudes, and practices of general practitioners in France. Obes Res. 2005;13(4):787–95.PubMed
41.
Zurück zum Zitat Kreuser F, Kromeyer-Hauschild K, Gollhofer A, et al. “Obese equals lazy?” analysis of the association between weight status and physical activity in children. J Obes. 2013;2013(437017):1–8 Kreuser F, Kromeyer-Hauschild K, Gollhofer A, et al. “Obese equals lazy?” analysis of the association between weight status and physical activity in children. J Obes. 2013;2013(437017):1–8
42.
Zurück zum Zitat Leehr E, Giel KE, Schaeffeler N, et al. Where do you look? Visual attention to human bodies across the weight spectrum in individuals with Normal weight or with obesity. Obes Facts. 2018;11(4):277–86. Epub 2018/07/11PubMedPubMedCentral Leehr E, Giel KE, Schaeffeler N, et al. Where do you look? Visual attention to human bodies across the weight spectrum in individuals with Normal weight or with obesity. Obes Facts. 2018;11(4):277–86. Epub 2018/07/11PubMedPubMedCentral
43.
Zurück zum Zitat NCD Risk Factor Collaboration. Trends in adult body-mass index in 200 countries from 1975 to 2014: a pooled analysis of 1698 population-based measurement studies with 19·2 million participants. Lancet. 2016;387(10026):1377–96. NCD Risk Factor Collaboration. Trends in adult body-mass index in 200 countries from 1975 to 2014: a pooled analysis of 1698 population-based measurement studies with 19·2 million participants. Lancet. 2016;387(10026):1377–96.
44.
Zurück zum Zitat Billeter AT, Senft J, Gotthardt D, et al. Combined non-alcoholic fatty liver disease and type 2 diabetes mellitus: sleeve gastrectomy or gastric bypass?-a controlled matched pair study of 34 patients. Obes Surg. 2016;26(8):1867–74.PubMed Billeter AT, Senft J, Gotthardt D, et al. Combined non-alcoholic fatty liver disease and type 2 diabetes mellitus: sleeve gastrectomy or gastric bypass?-a controlled matched pair study of 34 patients. Obes Surg. 2016;26(8):1867–74.PubMed
45.
Zurück zum Zitat Kenngott HG, Nickel F, Wise PA, et al. Weight loss and changes in adipose tissue and skeletal muscle volume after laparoscopic sleeve gastrectomy and Roux-en-Y gastric bypass: a prospective study with 12-month follow-up. Obes Surg. 2019;29:4018–28.PubMed Kenngott HG, Nickel F, Wise PA, et al. Weight loss and changes in adipose tissue and skeletal muscle volume after laparoscopic sleeve gastrectomy and Roux-en-Y gastric bypass: a prospective study with 12-month follow-up. Obes Surg. 2019;29:4018–28.PubMed
46.
Zurück zum Zitat Müller-Stich BP, Fischer L, Kenngott HG, et al. Gastric bypass leads to improvement of diabetic neuropathy independent of glucose normalization--results of a prospective cohort study (DiaSurg 1 study). Ann Surg. 2013;258(5):760–5.PubMed Müller-Stich BP, Fischer L, Kenngott HG, et al. Gastric bypass leads to improvement of diabetic neuropathy independent of glucose normalization--results of a prospective cohort study (DiaSurg 1 study). Ann Surg. 2013;258(5):760–5.PubMed
47.
Zurück zum Zitat Nickel F, de la Garza JR, Werthmann FS, et al. Predictors of risk and success of obesity surgery. Obes Facts. 2019;12(4):427–39.PubMedPubMedCentral Nickel F, de la Garza JR, Werthmann FS, et al. Predictors of risk and success of obesity surgery. Obes Facts. 2019;12(4):427–39.PubMedPubMedCentral
48.
Zurück zum Zitat Nickel F, Tapking C, Benner L, et al. Bariatric surgery as an efficient treatment for non-alcoholic fatty liver disease in a prospective study with 1-year follow-up : BariScan Study. Obes Surg. 2018;28(5):1342–50.PubMed Nickel F, Tapking C, Benner L, et al. Bariatric surgery as an efficient treatment for non-alcoholic fatty liver disease in a prospective study with 1-year follow-up : BariScan Study. Obes Surg. 2018;28(5):1342–50.PubMed
49.
Zurück zum Zitat Nickel F, Schmidt L, Bruckner T, et al. Gastrointestinal quality of life improves significantly after sleeve gastrectomy and Roux-en-Y gastric bypass-a prospective cross-sectional study within a 2-year follow-up. Obes Surg. 2017;27(5):1292–7.PubMed Nickel F, Schmidt L, Bruckner T, et al. Gastrointestinal quality of life improves significantly after sleeve gastrectomy and Roux-en-Y gastric bypass-a prospective cross-sectional study within a 2-year follow-up. Obes Surg. 2017;27(5):1292–7.PubMed
50.
Zurück zum Zitat Nickel F, Schmidt L, Bruckner T, et al. Influence of bariatric surgery on quality of life,body image, and general self-efficacy within 6 and 24 months-a prospective cohort study. Surg Obes Relat Dis. 2017;12(2):313–9. Nickel F, Schmidt L, Bruckner T, et al. Influence of bariatric surgery on quality of life,body image, and general self-efficacy within 6 and 24 months-a prospective cohort study. Surg Obes Relat Dis. 2017;12(2):313–9.
51.
Zurück zum Zitat Ebell MH. Bariatric surgery improves quality of life and results in more weight loss than intensive medical therapy. Am Fam Physician. 2017;95(12):805.PubMed Ebell MH. Bariatric surgery improves quality of life and results in more weight loss than intensive medical therapy. Am Fam Physician. 2017;95(12):805.PubMed
52.
Zurück zum Zitat de Jong MMC, Hinnen C. Bariatric surgery in young adults: a multicenter study into weight loss, dietary adherence, and quality of life. Surg Obes Relat Dis. 2017;13(7):1204–10.PubMed de Jong MMC, Hinnen C. Bariatric surgery in young adults: a multicenter study into weight loss, dietary adherence, and quality of life. Surg Obes Relat Dis. 2017;13(7):1204–10.PubMed
53.
Zurück zum Zitat Nickel F, Schmidt L, Sander J, et al. Patient perspective in obesity surgery: goals for weight loss and improvement of body shape in a prospective cohort study. Obes Facts. 2018;11(6):466–74.PubMedPubMedCentral Nickel F, Schmidt L, Sander J, et al. Patient perspective in obesity surgery: goals for weight loss and improvement of body shape in a prospective cohort study. Obes Facts. 2018;11(6):466–74.PubMedPubMedCentral
54.
Zurück zum Zitat Carels RA, Young KM, Wott CB, et al. Weight bias and weight loss treatment outcomes in treatment-seeking adults. Ann Behav Med. 2009;37(3):350–5.PubMedPubMedCentral Carels RA, Young KM, Wott CB, et al. Weight bias and weight loss treatment outcomes in treatment-seeking adults. Ann Behav Med. 2009;37(3):350–5.PubMedPubMedCentral
55.
Zurück zum Zitat Phelan SM, Burgess DJ, Yeazel MW, et al. Impact of weight bias and stigma on quality of care and outcomes for patients with obesity. Obes Rev. 2015;16(4):319–26.PubMedPubMedCentral Phelan SM, Burgess DJ, Yeazel MW, et al. Impact of weight bias and stigma on quality of care and outcomes for patients with obesity. Obes Rev. 2015;16(4):319–26.PubMedPubMedCentral
56.
Zurück zum Zitat Diversi TM, Hughes R, Burke KJ. The prevalence and practice impact of weight bias amongst Australian dietitians. Obes Sci Pract. 2016;2(4):456–65.PubMedPubMedCentral Diversi TM, Hughes R, Burke KJ. The prevalence and practice impact of weight bias amongst Australian dietitians. Obes Sci Pract. 2016;2(4):456–65.PubMedPubMedCentral
57.
Zurück zum Zitat Fogelman Y, Vinker S, Lachter J, et al. Managing obesity: a survey of attitudes and practices among Israeli primary care physicians. Int J Obes Relat Metab Disord. 2002;26(10):1393–7.PubMed Fogelman Y, Vinker S, Lachter J, et al. Managing obesity: a survey of attitudes and practices among Israeli primary care physicians. Int J Obes Relat Metab Disord. 2002;26(10):1393–7.PubMed
58.
Zurück zum Zitat Stanford FC, Johnson ED, Claridy MD, et al. The role of obesity training in medical school and residency on bariatric surgery knowledge in primary care physicians. Int J Family Med. 2015;2015:841249.PubMedPubMedCentral Stanford FC, Johnson ED, Claridy MD, et al. The role of obesity training in medical school and residency on bariatric surgery knowledge in primary care physicians. Int J Family Med. 2015;2015:841249.PubMedPubMedCentral
59.
Zurück zum Zitat Jung FUCE, Dietrich A, Stroh C, et al. Changes in attitudes towards bariatric surgery after 5 years in the German general public. Obes Surg. 2017;27(10):2754–8.PubMed Jung FUCE, Dietrich A, Stroh C, et al. Changes in attitudes towards bariatric surgery after 5 years in the German general public. Obes Surg. 2017;27(10):2754–8.PubMed
60.
Zurück zum Zitat Sikorski C, Luppa M, Dame K, et al. Attitudes towards bariatric surgery in the general public. Obes Surg. 2013;23(3):338–45.PubMed Sikorski C, Luppa M, Dame K, et al. Attitudes towards bariatric surgery in the general public. Obes Surg. 2013;23(3):338–45.PubMed
61.
Zurück zum Zitat Lee PC, Ganguly S, Tan HC, et al. Attitudes and perceptions of the general public on obesity and its treatment options in Singapore. Obes Res Clin Pract. 2019;13(4):404–7.PubMed Lee PC, Ganguly S, Tan HC, et al. Attitudes and perceptions of the general public on obesity and its treatment options in Singapore. Obes Res Clin Pract. 2019;13(4):404–7.PubMed
62.
Zurück zum Zitat Alberga AS, Pickering BJ, Alix Hayden K, et al. Weight bias reduction in health professionals: a systematic review. Clin Obes. 2016;6(3):175–88.PubMed Alberga AS, Pickering BJ, Alix Hayden K, et al. Weight bias reduction in health professionals: a systematic review. Clin Obes. 2016;6(3):175–88.PubMed
63.
Zurück zum Zitat Tiggemann M, Anesbury T. Negative stereotyping of obesity in children: the role of controllability beliefs. J Appl Soc Psychol. 2000;30(9):1977–93. Tiggemann M, Anesbury T. Negative stereotyping of obesity in children: the role of controllability beliefs. J Appl Soc Psychol. 2000;30(9):1977–93.
64.
Zurück zum Zitat Robstad N, Westergren T, Siebler F, et al. Intensive care nurses’ implicit and explicit attitudes and their behavioural intentions towards obese intensive care patients. J Adv Nurs. 2019;75(12):3631–42.PubMed Robstad N, Westergren T, Siebler F, et al. Intensive care nurses’ implicit and explicit attitudes and their behavioural intentions towards obese intensive care patients. J Adv Nurs. 2019;75(12):3631–42.PubMed
65.
Zurück zum Zitat Reddon H, Patel Y, Turcotte M, et al. Revisiting the evolutionary origins of obesity: lazy versus peppy-thrifty genotype hypothesis. Obes Rev. 2018;19(11):1525–43.PubMed Reddon H, Patel Y, Turcotte M, et al. Revisiting the evolutionary origins of obesity: lazy versus peppy-thrifty genotype hypothesis. Obes Rev. 2018;19(11):1525–43.PubMed
Metadaten
Titel
Influence of Body Mass Index and Gender on Stigmatization of Obesity
verfasst von
Christian Tapking
Laura Benner
Matthes Hackbusch
Svenja Schüler
Danny Tran
Gregor B. Ottawa
Katja Krug
Beat P. Müller-Stich
Lars Fischer
Felix Nickel
Publikationsdatum
09.08.2020
Verlag
Springer US
Erschienen in
Obesity Surgery / Ausgabe 12/2020
Print ISSN: 0960-8923
Elektronische ISSN: 1708-0428
DOI
https://doi.org/10.1007/s11695-020-04895-5

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CME: 2 Punkte

Das Webinar beschäftigt sich mit Fragen und Antworten zu Diagnostik und Klassifikation sowie Möglichkeiten des Ausschlusses von Zusatzverletzungen. Die Referenten erläutern, welche Frakturen konservativ behandelt werden können und wie. Das Webinar beantwortet die Frage nach aktuellen operativen Therapiekonzepten: Welcher Zugang, welches Osteosynthesematerial? Auf was muss bei der Nachbehandlung der distalen Radiusfraktur geachtet werden?

PD Dr. med. Oliver Pieske
Dr. med. Benjamin Meyknecht
Berufsverband der Deutschen Chirurgie e.V.

S1-Leitlinie „Empfehlungen zur Therapie der akuten Appendizitis bei Erwachsenen“

Appendizitis BDC Leitlinien Webinare
CME: 2 Punkte

Inhalte des Webinars zur S1-Leitlinie „Empfehlungen zur Therapie der akuten Appendizitis bei Erwachsenen“ sind die Darstellung des Projektes und des Erstellungswegs zur S1-Leitlinie, die Erläuterung der klinischen Relevanz der Klassifikation EAES 2015, die wissenschaftliche Begründung der wichtigsten Empfehlungen und die Darstellung stadiengerechter Therapieoptionen.

Dr. med. Mihailo Andric
Berufsverband der Deutschen Chirurgie e.V.