General population normative scores for interpreting the BODY‐Q (2025)

What is already known about this subject

  • The BODY-Q is the psychometrically strongest, reliable, and responsive patient-reported outcome measure for use in weight loss and/or body contouring surgery.
  • There is a lack of available general population norms for the BODY-Q as a reference point of patient's level of satisfaction with appearance, health-related quality of life (HRQL), and eating-related concerns.

What this study adds

  • International general population normative scores generated from 4051 (2052 North American and 1999 European) participants for the following BODY-Q domains: appearance, HRQL, and eating-related concerns.
  • First population norms of the BODY-Q scales to provide clinically relevant reference points for the interpretation of the BODY-Q.
  • Normative scores enable us to understand the impact of weight loss and body contouring surgery following massive weight loss for research, future clinical care, and healthcare policy.

1 INTRODUCTION

Since 1975, obesity has tripled with over 650 million people worldwide living with obesity.1 Weight loss interventions, including lifestyle, medical, and surgical treatments, all aim to achieve long-term weight loss and remission of obesity-related co-morbidities.2, 3 However, massive weight loss often leads to people having varying amounts of excess skin, where subsequent body contouring surgery (BC) is needed.4-6 To facilitate evidence-based and patient-centred care, understanding the impact of different weight loss treatments and subsequent BC on patients' lives is pivotal to optimising outcomes.7

Patient-reported outcome measures (PROM) are questionnaires used to measure health outcomes from the patient's perspective. To accurately measure patient-reported outcomes (PRO) validated, reliable and responsive condition-specific PROMs are needed.8 Over the past decade, a vast array of PROMs have been used in weight loss and BC, many of which do not possess strong evidence of reliability and validity for the patient population.9-12 The BODY-Q, introduced in 2016 is a rigorously developed and psychometrically validated PROM that measures outcomes of patients who undergo weight loss and/or BC.4, 13-15 The BODY-Q was developed following internationally recommended guidelines for PROM development and used a modern psychometric approach to measure concepts that matter most to patients. The conceptual framework covers four domains: appearance, health-related quality of life (HRQL), experience of health care, and eating-related concerns.12, 14, 16 The four domains are organised into independently functioning scales (Figure1), allowing the researchers and clinicians to administer the scale(s) that is most relevant to their practise or research question and reducing overall burden on patients.17 The BODY-Q has been shown to be responsive to change and subsequently, can be used to measure change over the entire weight loss trajectory, i.e., from obesity to weight loss with or without BC.14, 18, 19

Since its development, the BODY-Q has been increasingly used worldwide.4-6, 20-24 Recent systematic reviews based on the Consensus-based Standards for the selection of health Measurement Instruments (COSMIN) methodology recommended the BODY-Q as the psychometrically strongest PROM for use in weight loss, particularly in bariatric surgery (BaS) and BC.12, 13 However, a current limitation of the BODY-Q is the lack of available general population norms as a reference point of the levels of satisfaction with appearance, eating-related concerns, and HRQL. Although the BODY-Q has been used to demonstrate the efficacy of weight loss therapy and BC,4, 22 it is not yet known how published preoperative and postoperative scores compare to population norms. Scores from the general population would enable a better understanding of HRQL of obesity and change through the weight loss trajectory.

The primary aim of this study was to determine BODY-Q scores for the general population as reference values for comparative purposes in research and clinical use. The secondary aim was to compare normative scores for North America and Europe, and to investigate associations between BODY-Q scores and age, gender, and body mass index (BMI).

2 MATERIALS AND METHODS

We conducted an international study to collect BODY-Q scores from the general population in a total of 12 countries in North America and Europe. The European sample was approved by the Danish data protection agency. In Denmark, ethical approval is not required for survey-based studies. The North American study sample was approved by the institutional review board (Mass General Brigham [MGB] Institutional Review Board [IRB], United States [US]). All data and informed consent were obtained electronically in accordance with the Danish data protection agency and the MGB IRB.

2.1 Recruitment of participants

Participants (18 years and older) were recruited through the crowdsourcing platforms in September 2020 for Prolific Academic (www.prolific.co)25 and February 2021 for Amazon Mechanical Turk (MTurk) (www.MTurk.com).26 Through an URL link provided within Prolific and MTurk, participants were invited to read a study information letter and if interested in the study to complete the BODY-Q in their own language on an electronic survey platform, the REDCap survey platform. Participants were compensated per their institutional policies and a minimum of 6.50 USD per hour for completing the surveys. The following countries were included in North America and Europe: Belgium, Canada, Denmark, England, Finland, France, Germany, Italy, Netherlands, Poland, Sweden, and United States.

2.2 Demographic variables

The following demographic variables were collected: age, gender, weight, height, ethnicity (White or other), marital status, educational level, and employment status. Data were collected on weather participants had undergone prior weight loss treatments including diet, behaviour, lifestyle-management changes, weight loss medications, endoscopic procedure, and BaS and/or prior BC procedure. Participants were also asked if they had any of the following co-morbidities including diabetes, hypertension, hyperlipidemia, obstructive sleep apnea, osteoarthritic disease, cardiovascular disease, and reflux disease.

2.3 The BODY-Q

The BODY-Q was originally developed in English and field-tested in the United States, Canada, and the United Kingdom. The development involved a literature review, qualitative and cognitive interviews with patients, and expert input.14, 16, 18, 27-29 Currently, the scales have been translated into 19 languages for use in the following countries: Arabic Speaking Countries (Modern Standard), Belgium, Brazil, China (China, Hong Kong, Taiwan), Denmark, Finland, France, Germany, Greece, Italy, Japan, Netherlands, Norway, Poland, Russia, Spain, and Sweden. All translations followed recommended guidelines from the International Society for Pharmacoeconomics and Outcomes Research and/or the World Health Organization.17, 30-34

The BODY-Q scales that measure appearance, HRQL, and eating-related concerns domain, were used to determine normative scores from the general population. For the appearance domain, 12 scales were included: body, abdomen, arms, back, buttocks, hips and outer thighs, inner thighs, chest, nipples, stretch marks, excess skin, and cellulite. For the HRQL domain, seven scales were included: psychological, physical, social, sexual, body image, work, and appearance distress. All three scales from the eating-related concerns domain were included: eating symptoms (e.g., vomiting, reflux, dumping), eating-related distress (e.g., feeling ashamed or out of control after eating), and eating behaviour (e.g., stop eating before feeling full, avoiding unhealthy snacks) scales.14, 16, 27, 29

Each scale has between four and 10 items. Items are scored on a Likert scale from 1 (e.g., very dissatisfied) to 4 (e.g., very satisfied). The summed raw scores in a scale are transformed to scores between 0 and 100 using Rasch converted scoring tables. For all but one scale (exeption appearance distress) higher scores indicate a better outcome. Items with missing data can be scored by applying the mean of the completed items as long as at least half of the items are completed.15, 18, 19, 35

2.4 Statistical analysis

Statistical analyses were performed using IBM SPSS Version 27.0 statistical software (IBM Corp.) and figures were made in GraphPad Prism 8.0 (Graphpad Software).

Descriptive statistics including mean, standard deviation (SD), and 95% confidence interval (95% CI) were computed for continuous variables, while proportions were computed for categorical variables. Continuous and categorical non dichotomous variables were transformed into dichotomous variables. We created following age groups: 17–29, 30–39, 40–49, 50–59, >60 years, and BMI was grouped: <18.5, 18.50–24.9, 25–29.9, 30–34.9, 35–39.9, >40. Depending on the distribution of data and normality assumptions, the Rasch converted mean scores of all scales for each country were compared using a general linear model. The model was adjusted for relevant covariates: age, gender, BMI, ethnicity, educational level, employment, marital status, comorbidities, and weight loss treatment. The Bonferroni test was applied to account for multiple testing. For each country and continent, the means, standard error (SE), 95% CI, minimum and maximum scores, and p values were computed. For the total scores of all normative participants, means, SD, 95% CI, and p values were computed. In addition to the normative values for each scale, the mean scores were stratified according to age and BMI groups by gender after adjusting for the following covariates: comorbidities, educational level, employment, ethnicity, marital status, and weight loss treatment. These reference scores were summarised as means for use as reference standards.

3 RESULTS

3.1 Demographics

A total of 4051 (2052 North American and 1999 European) participants completed the study survey. The mean age of participants was 36 years (±14.7 SD) and ranged from 17 to 76 years. The mean BMI was 26.4 (±6.7 SD) kg/m2. In the sample 1996 (49.3%) participants identified as female, 2023 (49.9%) identified as male, and 32 (0.8%) identified as another gender. The full demographic data are presented in Table1.

TABLE 1. Demographics
Characteristics Total (4051) North America (2052) Europe (1999) USA (1980) Canada (72) Denmark (159) Netherlands (208) Sweden (209) England (207) Poland (210) Italy (204) Belgium (178) France (213) Finland (206) Germany (205)
Gender n (%)
Female 1996 (49.3) 1191 (58.0) 805 (40.3) 1143 (57.7) 48 (66.7) 43 (27.0) 84 (40.4) 61 (29.2) 159 (76.8) 60 (28.6) 99 (48.5) 53 (29.8) 90 (42.3) 79 (38.3) 77 (37.6)
Male 2023 (49.9) 849 (41.4) 1174 (58.7) 825 (41.7) 24 (33.3) 115 (72.3) 124 (59.6) 147 (70.3) 48 (23.2) 147 (70) 102 (50.0) 123 (69.1) 122 (57.3) 120 (58.3) 126 (61.2)
Other 32 (0.8) 12 (0.6) 20 (1.0) 12 (0.6) 0 (0) 1 (0.6) 0 (0) 1 (0.5) 0 (0) 3 (1.4) 3 (1.5) 2 (1.1) 1 (0.5) 7 (3.4) 2 (1.0)
Age
Mean (SD) 36.03 (14.36) 43.08 (14.65) 28.79 (9.72) 42.61 (14.64) 55.81 (7.20) 28.07 (8.60) 27.13 (9.67) 29.35 (8.68) 35.92 (13.58) 23.6 (6.79) 26.94 (8.26) 28.39 (7.82) 29.59 (9.82) 28.86 (8.20) 29.84 (9.23)
Minimum; maximum 17; 76 18; 76 17; 74 18; 76 28; 73 18; 66 18; 74 17; 61 18; 74 17.0; 61.0 18; 61 18; 58 18; 71 17; 58 17; 65
Age group
17–29 1773 (43.7) 507 (24.7) 1266 (63.3) 506 (25.6) 1 (1.4) 100 (62.9) 155 (47.5) 123 (58.9) 77 (37.2) 177 (84.3) 153 (75.0) 117 (65.7) 129 (16.6) 123 (59.7) 112 (54.6)
30–39 870 (21.5) 384 (18.7) 486 (24.3) 384 (19.4) 0 (0) 46 (28.9) 30 (14.4) 60 (28.7) 65 (31.4) 25 (11.9) 33 (16.2) 47 (26.4) 55 (25.8) 60 (29.1) 65 (31.7)
40–49 508 (12.5) 360 (17.5) 148 (7.4) 347 (17.5) 13 (18.1) 8 (5.0) 13 (6.3) 16 (7.7) 29 (14.0) 6 (2.9) 11 (5.4) 10 (5.6) 18 (8.5) 18 (8.7) 19 (9.3)
50–59 581 (14.3) 516 (25.1) 65 (3.3) 477 (24.1) 39 (54.2) 3 (1.9) 6 (2.9) 9 (4.3) 18 (8.7) 1 (0.5) 6 (2.9) 4 (2.2) 7 (3.3) 5 (2.4) 6 (2.9)
60–69 319 (7.9) 285 (13.9) 34 (1.7) 266 (13.4) 19 (26.4) 2 (0.3) 4 (1.9) 1 (0.5) 18 (8.7) 1 (0.5) 1 (0.5) 0(0) 4 (1.9) 0 (0) 3 (1.5)
BMI
Mean (SD) 26.37 (6.67) 28.14 (7.43) 24.55 (5.19) 28.08 (7.44) 29.56 (7.25) 24.84 (5.16) 24.30 (4.93) 25.33 (5.68) 26.19 (6.13) 23.7 (4.57) 23.33 (4.22) 24.26 (5.17) 23.38 (4.66) 25.15 (5.18) 25.11 (5.30)
Minimum; maximum 15.40; 72.70 16.16; 72.17 15.40; 54.07 16.16; 72.70 19.14; 57.04 15.77; 44.66 15.71; 47.66 15.79; 49.48 16.05; 54.07 15.96; 44.73 16.42; 40.79 15.40; 45.33 15.85; 40.64 16.40; 44.71 17.44; 47.45
BMI groups
<18.5 194 (4.8) 61 (3.0) 133 (6.7) 61 (3.1) 0 (0) 9 (5.7) 14 (6.3) 8 (3.8) 14 (6.8) 19 (9.0) 13 (6.4) 13 (7.3) 28 (13.1) 9 (4.4) 7 (3.4)
18.5–25 1913 (47.2) 766 (37.3) 1047 (75.4) 744 (37.6) 22 (30.6) 91 (57.2) 127 (16.1) 111 (53.0) 91 (4.4) 133 (36.3) 136 (66.7) 101 (56.7) 124 (58.2) 113 (55.1) 120 (58.5)
25–30 1039 (25.6) 588 (28.6) 451 (22.6) 564 (28.5) 24 (33.3) 33 (20.8) 39 (18.8) 61 (29.2) 55 (26.6) 38 (18.1) 39 (19.1) 41 (23.0) 40 (18.8) 55 (26.8) 50 (24.4)
30–35 494 (12.2) 328 (16.0) 166 (8.3) 313 (15.8) 15 (20.8) 16 (10.1) 22 (10.6) 14 (6.7) 27 (13.7) 14 (6.7) 11 (5.4) 14 (7.9) 14 (6.6) 17 (8.3) 17 (8.3)
35–40 224 (5.5.) 153 (7.5) 71 (3.6) 151 (7.6) 2 (2.8) 8 (5.0) 6 (2.9) 8 (3.8) 16 (7.7) 5 (2.4) 4 (2.0) 5 (2.8) 5 (2.3) 7 (3.4) 7 (3.4)
>40 187 (4.6) 157 (7.6) 30 (1.5) 148 (7.5) 9 (12.5) 2 (1.3) 1 (0.5) 7 (3.3) 4 (1.9) 1 (0.5) 1 (0.5) 4 (2.2) 2 (0.9) 4 (2.0) 4 (2.0)
Comorbidities n (%)
Diabetes 199 (4.9) 152 (7.4) 47 (2.3) 143 (7.2) 9 (12.5) 5 (3.1) 0 (0) 9 (4.3) 4 (1.9) 13 (6.2) 1 (0.5) 2 (1.1) 3 (1.4) 5 (2.4) 5 (2.4)
Hypertension 466 (11.5) 395 (19.2) 71 (3.5) 370 (18.7) 25 (34.7) 4 (2.5) 3 (1.4) 7 (3.3) 10 (4.8) 12 (5.7) 4 (2.0) 9 (5.0) 7 (3.3) 6 (2.9) 9 (4.4)
Hyperlipidemia 264 (6.5) 225 (11.0) 39 (1.9) 112 (10.7) 13 (18.1) 1 (0.6) 5 (2.4) 2 (1.0) 4 (1.9) 3 (1.4) 3 (1.5) 5 (2.8) 9 (4.2) 4 (1.9) 3 (1.5)
Obstructive sleep apnea 184 (4.5) 156 (7.6) 28 (1.4) 148 (7.5) 8 (11.1) 2 (1.3) 3 (1.4) 2 (1.0) 2 (1.0) 3 (1.4) 2 (1.0) 5 (2.8) 3 (1.4) 3 (1.5) 3 (1.5)
Osteoarthritic disease 259 (6.4) 227 (11.1) 32 (1.6) 211 (10.7) 16 (22.2) 0 (0) 7 (3.4) 2 (1.0) 10 (4.8) 2 (0.9) 2 (1.0) 1 (0.6) 2 (0.9) 1 (0.5) 5 (2.4)
Cardiovascular disease 64 (1.6) 44 (2.1) 20 (1.0) 44 (2.2) 0 (0) 2 (1.3) 1 (0.5) 2 (1.0) 3 (1.4) 5 (2.4) 1 (0.5) 1 (0.6) 1 (0.5) 1 (0.5) 3 (1.5)
Reflux disease 473 (11.7) 307 (15.0) 166 (8.3) 290 (14.6) 17 (23.6) 14 (8.8) 20 (9.6) 17 (8.1) 18 (8.6) 8 (3.8) 19 (9.3) 27 (15.1) 16 (7.5) 14 (6.8) 13 (6.3)
No medical condition 2881 (71) 1220 (59.5) 1161 (82.9) 1194 (63.0) 26 (36.1) 135 (84.9) 169 (81.3) 177 (84.7) 171 (81.8) 175 (82.9) 173 (84.9) 137 (76.5) 172 (80.8) 179 (86.9) 173 (84.0)
Educational level n (%)
Attending high school 114 (2.8) 10 (0.5) 104 (5.2) 10(0.5) 8 (11.1) 15 (9.4) 2 (1.0) 11 (5.3) 9 (4.3) 30 (14.3) 8 (3.9) 2 (1.1) 8 (3.8) 12 (5.8) 7 (3.4)
High school diploma 684 (16.9) 232 (11.3) 452 (22.6) 224 (11.3) 17 (23.6) 73 (45.9) 49 (23.6) 64 (30.6) 22 (10.6) 43 (20.5) 85 (41.7) 31 (17.4) 21 (9.9) 30 (14.6) 34 (16.5)
Some college-, trade-, or university degree 972 (24.0) 567 (27.6) 405 (20.3) 550 (27.8) 35 (48.6) 12 (7.5) 54 (26.0) 16 (7.7) 60 (29.1) 78 (37.1) 20 (9.8) 25 (14.0) 29 (13.6) 57 (27.7) 54 (26.2)
Completed college, trade or university 1330 (32.8) 845 (41.2) 485 (24.3) 810 (40.9) 2 (2.8) 24 (15.1) 56 (26.9) 53 (25.4) 84 (40.6) 25 (11.9) 42 (20.6) 46 (25.8) 66 (31.0) 42 (20.4) 47 (22.8)
Some master or doctoral degree 315 (7.8) 95 (4.6) 220 (11.0) 93 (4.7) 9 (12.5) 25 (15.7) 15 (7.2) 60 (28.7) 11 (5.3) 10 (4.8) 12 (5.9) 14 (7.9) 35 (16.4) 16 (7.8) 22 (10.7)
Completed masters or doctoral degree 596 (14.7) 299 (14.6) 297 (14.9) 219 (14.6) 1 (1.4) 10 (6.3) 31 (14.9) 5 (2.4) 21 (10.1) 23 (11.0) 31 (15.2) 58 (32.6) 54 (25.4) 24 (11.7) 40 (19.4)
Other 40 (1.0) 4 (0.2) 36 (1.8) 3 (0.2) 0 (0) 0 (0) 1 (0.4) 0 (0) 0 (0) 1 (0.4) 6 (2.9) 2 (1.1) 0 (0) 25 (12.1) 1 (0.5)
Employment n (%)
Full time >35 h per week 1541 (38.0) 879 (42.8) 662 (33.0) 856 (43.2) 23 (31.9) 50 (31.4) 58 (27.9) 75 (35.9) 64 (30.6) 59 (28.0) 46 (22.5) 81 (45.3) 94 (44.1) 64 (31.1) 71 (34.5)
Part time <35 h per week 576 (14.2) 291 (14.2) 285 (14.2) 278 (14.0) 13 (18.1) 26 (16.4) 55 (26.4) 27 (12.9) 44 (21.1) 17 (8.1) 20 (9.8) 18 (10.1) 21 (9.9) 33 (16.0) 24 (11.7)
Unemployed (currently looking for work) 325 (8.0) 137 (6.7) 188 (9.4) 131 (6.6) 6 (8.3) 14 (8.8) 17 (8.2) 28 (13.4) 20 (9.6) 24 (11.4) 23 (11.3) 14 (7.8) 9 (4.2) 22 (10.7) 17 (8.3)
Unemployed (currently not looking for work) 116 (2.9) 51 (2.5) 65 (3.2) 49 (2.5) 2 (2.8) 3 (1.9) 7 (3.4) 9 (4.3) 10 (4.8) 12 (5.7) 1 (0.5) 2 (1.1) 9 (4.2) 6 (2.9) 6 (2.9)
Self-employed 425 (10.5) 292 (14.2) 133 (6.6) 286 (14.4) 6 (8.3) 5 (3.1) 19 (9.1) 11 (5.3) 13 (6.2) 12 (5.7) 15 (7.4) 6 (3.4) 18 (8.5) 16 (7.8) 18 (8.7)
Volunteer 50 (1.2) 26 (1.3) 24 (1.2) 26 (1.3) 0 (0) 2 (1.3) 5 (2.4) 3 (1.4) 0 (0) 4 (1.9) 4 (2.0) 1 (0.6) 3 (1.4) 2 (1.0) 0 (0)
Student 880 (21.7) 158 (7.7) 722 (36.0) 158 (8.0) 0 (0) 63 (39.6) 94 (45.2) 68 (32.5) 26 (12.4) 100 (47.4) 106 (52.0) 57 (31.8) 55 (25.8) 78 (37.9) 75 (36.4)
Retired 202 (5.0) 176 (8.6) 26 (1.3) 160 (8.1) 16 (22.2) 3 (1.9) 2 (1.0) 0 (0) 15 (7.2) 1 (0.5) 0 (0) 0 (0) 2 (0.9) 1 (0.5) 2 (1.0)
Unable to work 126 (3.1) 88 (4.3) 38 (1.9) 84 (4.2) 4 (5.6) 4 (2.5) 3 (1.4) 9 (4.3) 8 (3.8) 0 (0) 0 (0) 2 (1.1) 3 (1.4) 5 (2.4) 4 (1.9)
Caring for home or family 195 (4.8) 135 (6.6) 60 (3.0) 130 (6.6) 5 (6.9) 4 (2.5) 2 (1.0) 5 (2.4) 18 (8.6) 3 (1.4) 5 (2.5) 3 (1.7) 4 (1.9) 7 (3.4) 9 (4.4)
Others 23 (0.6) 9 (0.4) 14 (0.7) 7 (0.4) 2 (2.8) 2 (1.3) 0 (0) 2 (1.0) 0 (0) 3 (1.4) 2 (1.0) 1 (0.6) 1 (0.5) 2 (1.0) 1 (0.5)
Race n (%)
White 3560 (87.9) 1716 (83.6) 1844 (92.2) 1651 (83.4) 56 (90.3) 145 (91.2) 180 (86.5) 192 (91.9) 178 (86.4) 209 (99.5) 185 (90.7) 165 (92.2) 194 (91.1) 197 (95.6) 198 (96.1)
Other 336 (8.3) 336 (16.4) 155 (7.8) 329 (16.6) 7 (9.7) 14 (8.8) 28 (13.5) 17 (8.1) 28 (14.6) 1 (0.4) 19 (9.3) 13 (7.3) 19 (8.9) 9 (4.4) 7 (3.4)
Marital status n (%)
Married 1138 (28.1) 825 (40.2) 313 (15.7) 792 (40.0) 33 (45.8) 27 (17.0) 29 (13.8) 37 (17.7) 63 (30.6) 63 (30.5) 20 (9.8) 27 (15.1) 30 (14.1) 32 (15.5) 30 (14.6)
Living common law 548 (13.5) 142 (6.9) 406 (20.3) 135 (6.8) 7 (9.7) 55 (34.6) 40 (19.2) 16 (7.7) 37 (18.0) 37 (17.9) 23 (11.3) 38 (21.2) 47 (22.1) 52 (25.2) 18 (8.7)
Widowed 48 (1.2) 44 (2.1) 4 (0.2) 40 (2.0) 4 (5.6) 0 (0) 5 (2.4) 0 (0) 2 (0.9) 2 (0.9) 1 (0.5) 0 (0) 0 (0) 1 (0.5) 0 (0)
Separated 52 (1.3) 32 (1.6) 20 (1.0) 28 (1.4) 4 (5.6) 0 (0) 1 (0.4) 4 (1.9) 3 (1.4) 3 (1.5) 1 (0.5) 1 (0.6) 3 (1.4) 2 (1.0) 0 (0)
Divorced 262 (6.5) 233 (11.4) 29 (1.5) 222 (11.2) 11 (15.3) 2 (1.3) 1 (0.4) 4 (1.9) 10 (4.9) 10 (4.8) 0 (0) 4 (2.2) 3 (1.4) 4 (1.9) 0 (0)
Single 2003 (49.4) 776 (37.8) 1227 (61.4) 763 (38.5) 13 (18.1) 75 (47.2) 133 (63.8) 148 (70.8) 91 (44.2) 92 (44.4) 159 (77.9) 108 (60.3) 130 (61.0) 115 (55.8) 157 (76.2)
Weight loss treatment n (%)
None 783 (22.4) 197 (13.2) 586 (29.3) 191 (13.3) 6 (10.3) 41 (25.8) 67 (32.2) 57 (27.3) 37 (17.9) 66 (31.4) 70 (34.3) 65 (31.5) 47 (34.7) 62 (40.1) 56 (27.3)
Tried to lose weight myself 2236 (64.1) 1017 (68.3) 1219 (61.0) 979 (68.4) 48 (65.5) 113 (71.1) 132 (63.5) 128 (61.2) 140 (67.6) 124 (59.0) 98 (48.0) 101 (65.7) 120 (65.3) 132 (62.1) 131 (63.9)
Weight loss program 371 (10.6) 200 (13.4) 171 (8.6) 194 (13.5) 6 (10.3) 4 (2.5) 6 (2.9) 20 (9.6) 27 (13.0) 17 (8.1) 35 (17.2) 19 (10.7) 16 (7.5) 9 (4.4) 18 (8.8)
Weight loss medication 68 (1.9) 54 (3.6) 14 (0.7) 51 (3.6) 3 (5.2) 0(0) 1 (0.5) 3 (1.4) 3 (1.4) 2 (1.0) 1 (0.5) 0 (0) 3 (1.4) 1(0.5) 0 (0)
Endoscopic procedure 2 (0.1) 0 (0) 2 (0.1) 0 (0) 0 (0) 0 (0) 0(0) 0 (0) 0 (0) 0 (0) 0 (0) 1 (0.6) 0 (0) 1 (0.5) 0 (0)
Bariatric surgery 16 (0.5) 16 (1.1) 0 (0) 15 (1.0) 1 (1.7) 0 (0) 0(0) 0 (0) 0 (0) 0 (0) 0 (0) 0 (0) 0 (0) 0 (0) 0 (0)
Other 13 (0.4) 6 (0.4) 7 (0.4) 2 (1.0) 4 (6.9) 1(0.6) 2 (1.0) 1 (0.5) 0 (0) 1(0.5) 0 (0) 1 (0.6) 0 (0) 1 (0.05) 0 (0)
Excess skin n (%) 717 (17.7) 492 (24.0) 225 (11.3) 470 (23.7) 22 (30.6) 13 (8.2) 14 (6.7) 23 (11.0) 25 (12.0) 40 (19.0) 16 (7.8) 12 (6.7) 17 (8.0) 44 (21.4) 21 (10.2)
Body contouring surgery n (%) 17 (2.4) 11 (2.2) 6 (2.7) 11 (2.3) 0 (0) 0 (0) 0 (0) 1 (0.5) 0 (0) 2 (0.9) 0 (0) 0 (0) 1 (0.5) 1 (0.5) 1 (0.5)

3.2 Total and continent-specific normative scores

Table2 summarises the normative mean scores of participants separately for North Americans and Europeans. There were statistically significant differences between North America and Europe for nine of 12 appearance scales: arms (p < .001), back (p < .001), buttocks (p=.004), thighs (p=.008), skin (p=.015), chest (p=.004), nipples (p < .001), and stretch marks (p < .001). In all nine scales, the European participants scored higher than North American participants. For the HRQL scales, European participants scored significantly higher on social (p=.026), sexual (p=.018), body image (p=.017), and work life (p < .001), while North American participants scored significantly higher on appearance distress (p < .001). In the eating-related concerns domain, European participants scored higher on eating-related distress (p < .001) compared to North American participants. There were no differences in scores for eating-related symptoms and eating behaviour between the two continents.

TABLE 2. Continent-specific and combined normative scores
A Appearance scales
Scale Country Mean (SE/SD) N 95% Confidence Int. p Value*
Body
North America 45.78 (0.51) 1487 44.78 46.77 .134
Europe 46.88 (0.42) 1993 46.05 47.7 .134
Total 46.41 (19.46) 3480
Abdomen
North America 37.03 (0.71) 1487 35.65 38.42 .196
Europe 38.44 (0.67) 1604 37.12 39.76 .196
Total 37.76 (27.55) 3091
Arms
North America 52.66 (0.66) 1487 51.36 53.95 <.001*
Europe 58.45 (0.63) 1605 57.21 59.69 <.001*
Total 55.66 (24.65) 3092
Back
North America 54.11 (0.75) 1487 52.63 55.58 <.001*
Europe 60.613 (0.72) 1605 59.21 62.02 <.001*
Total 57.48 (27.22) 3092
Buttocks
North America 51.96 (0.68) 1487 50.63 53.3 .004*
Europe 54.99 (0.65) 1605 53.72 56.26 .004*
Total 53.53 (24.68) 3092
Hips
North America 53.82 (0.74) 1487 52.37 55.27 .474
Europe 54.64 (0.71) 1605 53.25 56.02 .474
Total 54.24 (27.61) 3092
Thighs
North America 50.58 (0.78) 1487 49.05 52.11 .008*
Europe 53.80 (0.75) 1605 52.34 55.27 .008*
Total 52.25 (30.02) 3092
Skin
North America 48.24 (1.478) 365 45.34 51.15 .015*
Europe 55.07 (2.021) 222 51.1 59.04 .015*
Total 50.82 (27.25) 587
Chest
North America 51.08 (1.06) 579 49 53.17 .004*
Europe 55.52 (0.87) 792 53.81 57.23 .004*
Total 53.65 (23.12) 1371
Nipples
North America 65.64 (1.18) 579 63.33 67.94 <.001*
Europe 71.60 (0.96) 793 69.71 73.49 <.001*
Total 69.08 (24.54) 1372
Stretch marks
North America 71.63 (0.96) 857 69.75 73.52 <.001*
Europe 79.69 (1.15) 640 77.43 81.96 <.001*
Total 75.08 (26.01) 497
Cellulite
North America 58.25 (1.04) 402 56.2 60.3 0.411
Europe 60.73 (2.78) 64 55.28 66.19 0.411
Total 58.59 (20.81) 466
B Health-related quality of life scales
Scale Country Mean (SE/SD) N 95% Confidence Int. p Value*
Psychological function
North America 58.03 (0.63) 1485 56.81 59.26 .884
Europe 57.89 (0.60) 1605 56.72 59.06 .884
Total 57.96 (21.81) 3090
Physical function
North America 81.35 (0.56) 1485 80.24 82.45 .366
Europe 80.61 (0.56) 1992 79.69 81.53 .366
Total 80.92 (19.70) 3477
Social function
North America 54.21 (0.54) 1485 53.15 55.26 .026*
Europe 55.94 (0.45) 1993 55.06 56.82 .026*
Total 55.20 (18.05) 3478
Sexual function
North America 58.56 (0.74) 1099 57.11 60.01 .018*
Europe 61.19 (0.68) 1277 59.87 62.52 .018*
Total 59.98 (22.47) 2376
Body image
North America 45.34 (0.63) 1485 44.1 46.58 .017*
Europe 47.67 (0.60) 1605 46.49 48.85 .017*
Total 46.55 (23.72) 3090
Distress
North America 44.22 (0.57) 1487 43.09 45.341 <.001*
Europe 38.77 (0.65) 1211 37.5 40.046 <.001*
Total 41.77 (21.48) 2698
Work
North America 70.21 (0.61) 837 69 71.41 <.001*
Europe 75.43 (1.34) 202 72.8 78.06 <.001*
Total 71.22 (18.18) 1039
C Eating-related concerns scales
Scale Country Mean (SE/SD) N 95% Confidence Int. p Value*
Eating-related symptoms
North America 79.86 (0.34) 1487 78.92 80.25 .712
Europe 79.59 (0.59) 572 78.7 81.02 .712
Total 79.66 (12.92) 2059
Eating-related distress
North America 76.79 (0.49) 1487 79.86 83.19 <.001*
Europe 81.52 (0.85) 572 75.83 77.74 <.001*
Total 78.10 (19.21) 2059
Eating behaviour
North America 54.09 (0.32) 1487 53.47 54.72 .409
Europe 54.66 (0.55) 572 53.57 55.74 .409
Total 54.25 (12.00) 2059
  • Note: SD in total, SE in North America and Europe specific.
  • Abbreviations: 95% Confidence Int., Confidence Interval; SD, standard deviation; SE, standard error.
  • * p Value < .05.

Figure2 (appearance scales) and Figure3 (HRQL and eating concerns scales) show the mean scores for each continent as well as the mean scores of the combined sample. TableA1 shows the country specific scores of all scales.

3.3 Factors associated with the BODY-Q scales

In all appearance and HRQL scales, younger age (p < .001), higher BMI (p < .001), and country of residence (p < .001) were negatively associated with BODY-Q scores. In addition, lower scores for scales measuring body, abdomen, back, inner thighs, hips and outer thighs, arms, buttocks, chest, stretch marks, and body image were associated with an attempt to lose weight (p < .001), female gender (p < .001), and comorbidities (p < .001). In addition, higher scores on psychological and sexual scales were associated with marital and employment status (p < .001), while physical scores were negatively associated with comorbidities (p < .001) and lower educational level (p < .001). Lower scores indicating higher appearance distress were associated with all confounders including younger age (p < .001), higher BMI (p < .001), female gender (p < .001), attempt of weight loss in the past (p < .001), marital status (p < .001), comorbidities (p < .001), employment status (p < .001), educational level (p < .001), and country (p < .001).

In the eating-related concerns scales younger age (p < .001), higher BMI (p < .005), and comorbidities as dichotomized variable (p < .001) were adversely associated to all three scales. Eating-related distress and eating-related symptoms were also associated with attempt of weight loss in the past (p < .001), female gender (p < .001), and ethnicity (p=.02).

3.4 Normative scores stratified by age and BMI

The mean normative scores for each scale stratified by age, gender and BMI are shown in Table3. Table3 serves as a reference and overview of normative BODY-Q scores for each age- and BMI group adjusted for country, ethnicity, educational level, employment status, marital status, comorbidities, and weight loss treatment, and shows the normative values by gender for the different age and BMI groups. The chest scale is applicable to people who identify as male or transmale.

TABLE 3. Normative scores split by age, BMI and gender
Appearance scales
Scale Body Abdomen Arms Back Buttocks Hips Thighs Chest Nipples Stretch Marks Skin Cellulite
BMI Age
Female <18.5 17–29 52.81 52.70 60.73 62.66 47.74 54.23 55.60 NA NA 74.11 50.63 58.54
30–39 56.42 45.58 58.87 62.53 47.53 54.77 47.41 NA NA 60.49 50.88 30.03
40–49 66.05 82.10 86.40 86.85 72.31 90.67 91.20 NA NA 70.50 63.18 77.54
50–-59 47.14 40.11 45.87 46.72 41.27 54.08 54.33 NA NA 64.60 31.43 69.52
>60 59.80 64.06 65.02 92.28 73.83 97.68 48.69 NA NA NA 57.39 59.00
18.5–25 17–29 49.06 45.95 59.90 64.62 53.85 51.89 50.91 NA NA 74.78 54.89 62.77
30–39 49.19 39.07 60.34 65.12 53.02 51.90 50.17 NA NA 76.01 44.52 62.13
40–49 50.13 37.88 61.11 69.40 55.42 55.79 51.49 NA NA 79.51 55.71 61.12
50–59 50.12 36.06 53.25 61.53 52.14 54.46 43.66 NA NA 79.51 58.85 54.48
>60 58.92 48.81 55.01 71.68 56.66 58.89 53.44 NA NA 94.93 61.95 64.97
25–30 17–29 33.40 23.39 40.32 44.28 43.71 38.57 34.69 NA NA 67.48 37.74 53.80
30–39 37.14 23.63 45.14 47.55 46.49 46.82 42.50 NA NA 64.79 36.34 60.75
40–49 36.52 22.90 44.60 50.41 46.01 40.92 35.69 NA NA 67.79 43.92 61.68
50–59 39.91 24.36 48.64 52.39 47.72 49.06 44.37 NA NA 77.32 48.14 59.75
>60 42.90 26.33 42.20 51.91 48.71 46.88 42.33 NA NA 79.65 46.55 53.93
30–35 17–29 33.44 22.17 41.64 47.19 50.68 44.89 33.35 NA NA 65.85 44.12 48.72
30–39 34.94 18.14 44.24 40.63 41.63 37.29 33.20 NA NA 73.35 38.58 54.56
40–49 27.67 13.74 29.08 34.87 32.10 32.33 25.94 NA NA 63.69 27.21 64.95
50–59 28.22 20.61 38.20 43.92 34.58 34.20 32.01 NA NA 69.10 39.17 56.00
>60 34.93 21.86 37.01 45.29 42.27 36.15 40.09 NA NA 91.23 56.04 82.80
35–40 17–29 24.00 10.09 24.73 11.43 29.54 36.81 25.16 NA NA 49.42 20.63 60.15
30–39 23.09 8.602 20.14 29.36 31.81 26.11 17.95 NA NA 60.71 39.55 53.34
40–49 23.80 12.48 33.39 31.87 34.89 23.36 22.76 NA NA 60.20 39.91 62.55
50–59 30.76 10.10 27.53 28.87 33.00 26.63 22.59 NA NA 67.89 35.42 65.21
>60 29.08 15.06 37.25 42.13 36.88 31.14 31.59 NA NA 78.00 45.76 50.24
>40 17–29 17.20 15.72 13.97 5.098 20.28 26.37 11.83 NA NA 50.85 13.60 62.74
30–39 20.04 15.99 24.14 19.55 26.44 23.36 19.25 NA NA 60.05 28.44 39.34
40–49 23.22 11.70 25.71 37.17 27.67 27.32 19.05 NA NA 79.22 40.55 61.25
50–59 23.69 16.73 28.32 32.88 25.98 25.01 20.19 NA NA 69.40 44.90 52.32
>60 22.31 14.94 25.98 37.86 22.54 22.33 17.44 NA NA 72.56 40.73 47.15
Male <18.5 17–29 47.40 57.43 52.93 49.91 54.73 60.57 59.44 51.56 64.16 73.14 73.33 NA
30–39 47.59 32.22 40.47 33.25 40.22 47.00 56.21 34.81 50.67 62.89 NA NA
40–49 62.91 40.05 54.25 44.59 54.38 59.11 55.75 33.21 71.12 84.33 NA NA
50–59 57.47 40.37 61.82 75.28 63.58 77.36 75.42 52.19 88.04 NA NA NA
>60 57.04 29.46 45.09 47.06 60.24 86.34 66.53 62.44 90.00 NA NA NA
18.5–25 17–29 57.97 56.73 64.82 66.58 64.94 68.28 69.71 60.42 70.58 87.94 61.92 52.50
30–39 57.13 52.06 62.24 62.15 61.80 64.98 65.51 58.21 70.88 81.34 68.08 NA
40–49 57.97 55.62 66.98 63.64 63.10 71.52 74.81 63.10 75.51 88.85 79.00 74.00
50–59 58.43 56.22 65.00 63.30 68.20 75.73 74.72 63.17 80.82 62.34 77.95 NA
>60 62.87 52.21 65.31 71.92 72.20 80.17 73.98 62.08 79.56 92.20 71.30 NA
25–30 17–29 49.99 41.43 64.41 62.72 56.85 59.26 59.12 54.00 67.52 79.62 60.62 48.00
30–39 45.58 33.25 62.24 59.32 58.77 61.54 60.2 51.42 64.03 80.39 65.58 51.09
40–49 44.47 27.39 63.16 57.66 58.44 60.57 63.49 50.83 68.70 81.78 66.00 65.60
50–59 48.85 36.83 67.46 62.84 61.40 67.23 65.69 51.32 72.05 83.59 67.88 66.00
>60 51.35 38.65 69.75 68.08 66.25 72.35 71.47 56.41 74.26 95.49 59.33 44.29
30–35 17–29 37.47 23.31 52.40 50.94 53.09 46.43 42.72 34.62 56.22 70.24 58.00 60.00
30–39 39.02 27.38 63.56 59.43 61.57 57.96 52.35 42.23 73.45 83.72 57.57 49.00
40–49 37.61 25.34 65.07 54.52 50.28 54.61 58.88 44.93 66.60 79.12 65.67 72.00
50–59 37.62 26.44 65.30 60.43 61.14 61.21 57.33 47.18 73.83 82.86 46.25 72.50
>60 46.49 26.27 68.56 66.80 74.63 69.05 69.92 55.82 75.5 90.99 73.29 NA
35–40 17–29 26.95 16.88 49.57 34.83 31.89 30.33 22.42 26.00 38.81 47.22 48.33 62.50
30–39 27.07 17.56 47.53 28.68 27.02 32.59 31.23 25.87 59.97 58.79 32.00 43.50
40–49 31.09 23.86 60.95 44.98 39.66 46.03 53.39 32.25 66.11 83.75 62.00 NA
50–59 38.47 26.35 54.32 51.20 50.43 49.26 48.87 39.10 73.52 69.43 40.50 49.50
>60 44.47 31.50 58.78 68.71 63.20 68.69 71.31 55.07 79.30 96.26 68.00 83.00
>40 17–29 21.03 15.22 35.08 25.46 25.69 24.68 20.23 18.10 57.48 62.45 40.33 11.84
30–39 29.41 19.32 31.79 24.53 29.73 21.68 16.61 28.94 46.77 69.08 NA 40.60
40–49 27.20 18.00 56.30 46.28 53.77 53.6 40.78 37.98 65.64 68.14 37.25 93.80
50–59 19.77 7.60 26.48 27.95 31.61 24.11 13.89 19.43 57.52 54.27 42.00 68.98
>60 40.71 19.88 53.20 47.40 50.20 43.86 36.00 34.80 57.51 71.65 53.50 NA
Health-related quality of life (HRQL) and eating-related concerns scales
Scale Psychological well-being Physical well-being Social well-being Sexual well-being Body image Work life Distress Eating-related symptoms Eating-related distress Eating behaviour
BMI Age
Female <18.5 17–29 53.23 80.89 52.20 60.49 53.88 64.71 42.15 72.74 78.44 58.02
30–39 41.35 83.67 45.28 51.26 48.96 56.09 52.83 76.89 83.94 57.35
40–49 67.64 71.58 50.64 56.92 70.27 82.68 38.76 85.45 91.96 66.09
50–59 52.31 66.67 53.06 42.00 43.65 57.67 54.34 76.48 77.01 62.80
>60 69.32 76.76 76.01 70.21 54.04 67.29 29.58 85.23 96.89 70.47
18.5–25 17–29 57.54 85.69 64.45 64.16 52.77 72.93 44.47 77.45 75.29 55.54
30–39 55.41 85.76 52.07 62.46 49.23 71.24 43.14 77.75 76.55 52.97
40–49 61.30 82.29 57.49 63.41 52.35 76.86 35.10 83.44 84.61 55.96
50–59 62.24 80.57 57.52 57.32 50.35 76.61 33.16 80.97 85.58 59.25
>60 73.32 83.40 65.56 62.81 60.34 89.49 22.17 89.06 93.15 62.51
25–30 17–29 46.00 82.92 48.48 54.46 33.06 56.81 57.69 76.54 68.40 49.66
30–39 49.11 81.52 48.96 55.93 36.20 64.33 50.21 77.36 68.76 50.32
40–49 58.49 75.15 57.00 57.12 38.73 69.30 43.09 77.31 71.80 53.05
50–59 67.39 79.88 62.22 55.84 43.55 75.20 37.30 79.54 79.16 57.69
>60 70.16 83.64 65.18 60.34 44.09 77.61 34.05 82.94 81.74 59.01
30–35 17–29 50.10 77.47 50.09 53.39 34.02 62.38 53.13 77.25 64.64 49.43
30–39 54.46 75.80 54.06 55.51 35.54 72.28 49.83 79.19 71.25 51.33
40–49 51.33 73.81 52.30 51.81 24.79 66.52 50.30 75.17 67.64 51.55
50–59 58.46 69.84 59.34 43.04 27.87 66.42 47.69 76.30 73.38 51.12
>60 61.57 79.19 66.45 51.45 33.97 71.70 35.59 82.37 81.58 58.14
35–40 17–29 27.09 69.68 36.58 39.30 17.12 46.81 67.40 71.1 51.18 45.45
30–39 48.47 76.46 47.64 47.55 24.33 52.92 60.61 71.77 61.24 47.13
40–49 38.04 52.00 43.91 42.07 23.03 70.40 60.13 68.62 60.20 53.12
50–59 50.29 69.06 51.24 43.72 24.42 69.47 53.95 77.95 69.90 47.70
>60 60.20 69.74 54.41 48.73 30.52 61.40 46.08 80.14 75.32 54.11
>40 17–29 31.36 69.32 37.06 53.40 20.38 66.52 71.27 71.1 48.48 45.41
30–39 54.63 69.25 55.02 53.17 24.36 67.04 56.01 74.1 75.88 58.55
40–49 43.27 60.33 47.60 55.64 21.47 66.15 58.74 73.26 63.97 45.08
50–59 55.75 58.94 49.61 37.88 25.30 53.53 57.12 77.91 67.69 53.32
>60 62.71 45.22 52.72 36.84 22.56 67.39 43.30 81.28 78.71 53.37
Male <18.5 17–29 51.59 77.62 48.90 59.62 44.51 55.80 47.47 78.3 85.67 51.81
30–39 41.85 89.19 44.77 46.46 18.58 61.00 45.65 72.74 71.06 48.98
40–49 58.66 93.39 52.20 39.93 60.44 67.58 47.85 73.76 82.20 49.17
50–59 59.52 75.22 42.00 46.62 48.88 NA 32.27 84.63 93.26 56.96
>60 73.80 54.21 47.18 41.26 49.44 NA 13.00 96.08 82.08 91.20
18.5–25 17–29 63.30 83.70 57.47 67.57 58.52 75.32 39.66 81.66 85.15 56.40
30–39 59.68 87.24 54.43 64.33 57.97 72.83 34.64 81.66 86.03 55.90
40–49 59.89 83.31 56.98 61.67 57.37 80.34 28.01 84.37 90.05 56.64
50–59 68.04 91.06 61.69 70.45 65.53 81.30 27.72 87.72 89.67 60.26
>60 67.93 81.87 64.63 67.48 59.01 75.64 19.65 84.77 92.83 58.81
25–30 17–29 61.14 83.94 59.52 69.32 50.54 70.26 40.33 79.71 77.46 51.70
30–39 56.49 83.78 55.23 62.10 45.79 73.62 37.04 79.76 76.59 50.55
40–49 56.10 77.08 54.39 58.99 43.13 70.12 38.49 79.42 78.59 51.99
50–59 70.15 82.32 62.17 61.29 51.54 79.63 27.40 85.31 87.81 57.73
>60 74.66 79.05 65.78 66.66 54.45 80.01 22.21 89.32 90.44 58.91
30–35 17–29 48.97 83.37 51.79 59.45 31.66 71.79 45.48 80.33 66.64 45.57
30–39 56.22 82.32 51.66 55.07 41.79 66.16 53.93 75.72 70.45 51.10
40–49 56.06 79.38 52.28 53.10 40.23 65.46 44.99 78.07 74.28 49.61
50–59 58.11 67.09 56.59 52.35 38.95 69.70 35.17 77.24 74.51 51.22
>60 69.57 70.85 60.91 58.38 48.32 74.82 32.76 86.25 85.61 54.76
35–40 17–29 40.36 75.87 45.95 50.71 14.66 31.28 70.78 76.63 54.56 38.15
30–39 44.33 79.36 46.35 48.97 20.16 51.62 60.09 71.38 64.81 42.29
40–49 56.30 73.07 49.93 62.15 29.05 58.66 41.23 79.39 74.53 52.51
50–59 57.07 68.28 66.57 56.87 41.37 78.43 39.13 78.05 83.32 57.36
>60 64.05 68.99 59.30 34.75 46.02 79.96 26.20 93.54 96.61 56.46
>40 17–29 35.67 61.84 41.72 45.75 20.26 27.02 68.31 72.77 42.75 33.58
30–39 45.97 50.37 49.97 45.17 20.04 76.75 37.81 62.37 94.65 59.32
40–49 48.70 61.70 44.02 25.04 17.13 69.62 44.28 74.21 69.78 52.28
50–59 24.94 46.23 39.24 21.28 12.58 49.25 71.14 73.75 52.70 42.00
>60 51.60 54.75 64.51 37.75 31.91 55.49 35.74 85.25 79.17 53.15
BODY-Q Scores
75–100
50–75
25–50
0–25
NA
  • Abbreviation: NA, not applicable.

Overall, appearance scores tended to decrease with higher BMI for all age groups. Females had lower satisfaction with appearance compared with males. This lower satisfaction with appearance in females were more pronounced for appearance of the abdomen, where females with a BMI 25.5–29.99 kg/m2 scored below 25, while males with a BMI 35–39.99 kg/m2 scored below 25. For the HRQL scales, the same pattern was seen with females scoring below 25 on the body image scale from BMI 30–34.9kg/m2, whereas males scored below 25 from BMI 35–39.9kg/m2 in the age group 17–29 years, and BMI >40 for all age groups. For the remaining HRQL and eating-related concerns scales similar scores were observed for males and females.

4 DISCUSSION

In this study, we presented BODY-Q normative scores generated from an international sample of 4051 participants from a total of 12 North American and European countries. The overall and continent-specific normative scores were provided for 22 BODY-Q scales from three domains – appearance (12 scales), HRQL (7 scales), and eating-related concerns (3 scales). The normative scores for all scales are presented stratified by age, BMI, and gender (male and female). These normative values provide means to interpret the BODY-Q scores for use in research and clinical practise.

The development of PROMs that evidence validity, responsiveness and reliability, the BODY-Q, have facilitated investigation of the unique outcomes of weight loss and/or BC from the patient perspective.4, 14, 22 The BODY-Q can be used clinically and as a research tool to shed light on our understanding of the effects of losing weight and following BC procedures on perceptions of appearance, HRQL and eating behaviour.12, 16 This is the first study to date to generate normative values for interpreting the BODY-Q. Previous outcome studies using the BODY-Q to measure change of satisfaction with appearance and HRQL in BaS and BC patients revealed significantly higher mean BODY-Q scores after BaS. In addition, the studies showed significantly higher scores for patients who received BC following BaS compared to patients who did not.4, 6, 23, 24 However, these scores were limited by not being able to compare their findings to reference values from the general population. Measuring a return to normality is important; thus, there is a need for an appropriate reference point for weight loss- and BC patients. The values provided in this study enables accurate comparison with the general population enhancing the interpretation of BODY-Q data to understand the actual impact of weight loss and BC on different aspects of patient's lives. The findings of this study have important implications for research, future clinical care, and healthcare policy.

Normative scores have been generated for the generic 36-Item Short-Form Health Survey (SF-36), and European-Quality of life-5 Dimensions (EQ-5D) which is the most widely used generic PROMs in obesity and weight loss treatment.36-38 However, generic PROMs lack content validity and may not capture specific concepts of matter for weight loss and BC patients.35 The lack of sensitivity or responsiveness for weight loss and BC specific outcomes, may minimise or not detect changes as a result of weight loss or BC.19, 39 Nonetheless, our findings were in line with the normative SF-36 scores with females having lower scores than males in regards of satisfaction with appearance and body image.36, 37 In contrast to other studies investigating population norms, there are no differences in the scores of females and males in HRQL and eating-related concerns scales.36, 40 Younger age was negatively associated with BODY-Q scores contradictory to normative EQ-5D scores, where younger age was associated with higher scores.38, 41

Opposing to our hypothesis of minimal differences between scores across the 12 countries, we detected significant differences between North America and Europe, and between some European countries in all appearance scales and social function, sexual function, body image, and work life within the HRQL scales. Differential item functioning (DIF), which describes the stability of the BODY-Q instrument to determine whether items are responded differently by subgroups within a population, has been examined elsewhere in the original BODY-Q population, and found to have a negligible impact.14, 18 The differences detected in this study are therefore most likely not due to DIF, but rather due to cross-cultural differences between countries. There might be differences in the experience and conceptualization of HRQL across different socio-cultural groups, which further emphasized the need of general norms to understand the clinical significance and magnitude of the change weight loss and/or BC have on patient's lives.42, 43 Interestingly, there were no differences between North America and Europe in eating-related symptoms- and eating behaviour scales, while European participants scores significantly higher scores in eating-related distress. Cross-cultural factors such as cultural beliefs regarding food preferences and culinary habits have shown to influence individual's eating behaviour and relationship with food.44, 45 Due to differences in eating cultures, we expected differences between countries, especially between the two continents. The eating-related concerns domain is however a newly developed scale, and only available in few languages (English, Danish, and Dutch). Therefore, data is solely based on North America, the Netherlands, and Denmark. More cross-cultural research is needed to identify causes of differences and similarities between countries. However, all data were adjusted for country as a covariate when the total normative value was determined, due to these differences between the distribution of BODY-Q scores from different countries and continents. The sample was more representative when both continents were combined, with a mean age of 36 (±14.7 SD) years, 11 996 (49.3%) female, 2023 (49.9%) male, and 32 (0.8%) other gender identifications. Therefore, we recommend the use of the combined normative values for comparative purposes.

The secondary aim of this project was to investigate factors associated with BODY-Q scores. BMI and age were inversely associated with BODY-Q scores in all satisfaction with appearance and HRQL scales. Our results points to the fact that living with obesity represents a significant health impairment.46 In the normative data split by gender for the different age and BMI groups, females had lower satisfaction with appearance corresponding with the normative SF-36 scores.36, 37 Female participants with a BMI 25.5–30.0kg/m2 scored below 25, while male participants scored below 25 from BMI 35–40 kg/m2. The same pattern was seen in body image, where female participant scored below 25 from BMI 30–35 kg/m2, whilst male participants scored below 25 from BMI >40. The only exception was for male participants in the age group 17–29 years, who scored below 25 from BMI 35–40 kg/m2. In the remaining HRQL and eating-related concerns scales, male and female participants scored similarly.

Strengths of our study is the large international sample of 4051 participants to match the diverse population of weight loss and BC patients. Online crowdsourcing databases such as Prolific and MTurk has shown to be a valid and reliable method for recruitment of research participants, facilitating cross-cultural and international research with low costs and high validity.47-50 However, a potential limitation of this study is whether the recruitment of participants via the crowdsourcing platforms is representative of the general population of the included countries or not. An important limitation of this study is the ethnical diversity. In total, the population consisted of 87.9% participants who identified themselves as white, while only 12.1% identified themselves as another ethnicity. Therefore, the ethnical homogeneity should be considered with caution when interpreting these normative results. In addition, participants were paid to participate, which may have impacted incentives of participation in this study and their responses to the questions. In the European sample, the participants were younger. This is in line with other studies using crowdsourcing databases, with participants being younger, more educated, reporting lower rates of unemployment and marriage.47 However, all mean scores were adjusted for age, employment, and marital status. The skin, stretch marks and cellulite scales consisted of a small number of participants, which should be considered when interpreting these results. Future research is needed to compare longitudinal BODY-Q patient results to these normative data.

5 CONCLUSION

The normative values generated in this study provide clinically relevant reference points for the interpretation of the BODY-Q with appearance, HRQL, and eating-related concerns scales. The normative BODY-Q scores were inversely associated with age and BMI for all appearance, HRQL, and eating-related concerns scales. These normative data enable us to understand the impact of weight loss and BC on patient's lives for research, future clinical care, and health care policy.

ACKNOWLEDGEMENT

The authors are very thankful for all participants who completed the questionnaire for generating population norms. All authors have made substantial contributions to the conception planning and design of the study, data collection, analysis and interpretation of the results and the writing process of the manuscript including drafting the manuscript and revising it critically. The study was funded by grants received from Odense University Hospital (A5006) and the Region of Southern Denmark (21/17592),Denmark. Manraj Kaur is funded through the Canadian Institute of Health Research Fellowship Award (2020-23).

    CONFLICT OF INTEREST

    Anne F. Klassen and Andrea L. Pusic are co-developers of the BODY-Q and receive a share of any licence revenues based on their institutions inventor sharing policy. Anne F. Klassen is an owner of EVENTUM Research which provides consulting services to the pharmaceutical industry. The remaining authors declare no conflicts of interest.

    APPENDIX A

    TABLE A1. Country specific normative scores for each scale
    Appearance scales
    Scale Country Mean Std. error N 95 % Confidence interval
    Body
    Denmark 50.33 1.34 159 47.7 52.96
    Poland 46.54 1.19 210 44.2 48.87
    Netherlands 52.32 1.18 208 49.02 53.63
    France 46.70 1.17 210 44.41 48.98
    Belgium 46.55 1.27 178 44.07 49.04
    England 42.26 1.18 205 39.95 44.56
    Germany 49.59 1.17 205 46.2 50.88
    Italy 46.13 1.19 204 43.8 48.45
    Finland 47.05 1.17 205 44.75 49.35
    Sweden 45.45 1.16 209 43.17 47.73
    United States 45.63 0.51 1429 44.63 46.63
    Canada 44.17 2.23 58 39.79 48.54
    Abdomen
    Denmark 41.74 1.92 158 37.98 45.5
    Poland 36.53 1.7 210 33.2 39.86
    Netherlands 43.00 1.68 208 39.71 46.3
    England 32.52 1.67 205 29.25 35.8
    Germany 40.56 1.67 205 37.3 43.83
    Italy 38.36 1.7 204 35.04 41.69
    Finland 39.03 1.67 205 35.75 42.3
    Sweden 38.17 1.66 209 34.92 41.42
    United States 36.93 0.71 1429 35.54 38.33
    Canada 33.74 3.16 58 27.55 39.94
    Arms
    Denmark 58.72 1.79 159 55.21 62.23
    Poland 60.89 1.59 210 57.77 64.01
    Netherlands 62.92 1.57 208 59.83 66
    England 51.45 1.57 205 48.39 54.52
    Germany 60.64 1.56 205 57.58 63.69
    Italy 58.4 1.59 204 55.28 61.51
    Finland 58.43 1.57 205 55.36 61.5
    Sweden 58.00 1.55 209 54.95 61.04
    United States 52.35 0.67 1429 51.05 53.66
    Canada 53.42 2.96 58 47.61 59.22
    Back
    Denmark 61.24 2.04 159 57.25 65.23
    Poland 62.06 1.81 210 58.51 65.61
    Netherlands 64.78 1.79 208 61.27 68.29
    England 53.60 1.78 205 50.11 57.09
    Germany 64.22 1.77 205 60.75 67.7
    Italy 59.83 1.81 204 56.29 63.37
    Finland 60.59 1.78 205 57.1 64.08
    Sweden 60.67 1.77 209 57.21 64.14
    United States 53.99 0.76 1429 52.5 55.48
    Canada 49.79 3.37 58 43.19 56.39
    Buttocks
    Denmark 57.92 1.84 159 54.3 61.53
    Poland 54.23 1.64 210 51.02 57.45
    Netherlands 57.95 1.62 208 54.77 61.13
    England 52.18 1.61 205 49.02 55.34
    Germany 57.84 1.61 205 54.69 60.99
    Italy 52.37 1.63 204 49.16 55.58
    Finland 55.61 1.61 205 52.45 58.77
    Sweden 52.92 1.60 209 49.78 56.05
    United States 51.86 0.69 1429 50.52 53.21
    Canada 52.80 3.05 58 46.82 58.78
    Hips
    Denmark 59.10 2.00 159 55.18 63.03
    Poland 52.76 1.78 210 49.27 56.26
    Netherlands 59.02 1.76 208 55.57 62.47
    England 50.94 1.75 205 47.50 54.37
    Germany 57.29 1.75 205 53.86 60.71
    Italy 48.56 1.78 204 45.07 52.04
    Finland 55.34 1.75 205 51.90 58.78
    Sweden 55.28 1.74 209 51.88 58.69
    United States 53.64 0.75 1429 52.17 55.10
    Canada 57.40 3.31 58 50.90 63.90
    Thighs
    Denmark 56.88 2.11 159 52.73 61.02
    Poland 53.59 1.88 210 49.90 57.27
    Netherlands 57.67 1.86 208 54.03 61.32
    England 48.97 1.85 205 45.35 52.59
    Germany 58.15 1.84 205 54.54 61.76
    Italy 45.67 1.88 204 41.00 49.34
    Finland 56.43 1.85 205 52.80 60.05
    Sweden 53.93 1.83 209 50.34 57.53
    United States 50.38 0.79 1429 48.84 51.92
    Canada 54.56 3.50 58 47.7 61.41
    Chest
    Denmark 53.66 2.08 112 49.57 57.74
    Poland 53.25 1.88 145 49.56 56.93
    Netherlands 60.15 2.00 121 56.24 64.97
    England 52.91 3.15 47 46.73 59.09
    Italy 56.38 2.18 102 52.11 60.65
    Finland 58.27 2.01 118 54.33 62.2
    Sweden 53.94 1.80 147 50.40 57.47
    United States 51.46 1.07 558 49.37 53.56
    Canada 37.39 4.81 21 27.96 46.82
    Nipples
    Denmark 73.88 2.3 112 69.36 78.39
    Poland 68.04 2.08 145 63.97 72.12
    Netherlands 74.08 2.21 121 69.75 78.41
    England 68.67 3.45 48 61.89 75.44
    Italy 65.21 2.01 102 60.5 69.93
    Finland 73.66 2.22 118 69.31 78.01
    Sweden 74.69 1.99 147 70.78 78.59
    United States 65.87 1.18 558 63.56 68.18
    Canada 62.2 5.31 21 51.78 72.62
    Stretch marks
    Denmark 81.35 2.89 78 75.68 87.03
    Poland 76.10 2.53 108 71.05 80.97
    Netherlands 85.25 2.62 98 80.12 90.38
    England 72.09 2.35 118 67.49 76.69
    Italy 80.47 2.31 127 75.94 84.99
    Sweden 85.58 2.43 111 80.41 89.95
    United States 71.26 0.97 820 69.97 73.16
    Canada 77.46 4.91 37 69.24 85.68
    Excess skin
    Denmark 63.41 7.04 13 49.58 77.24
    Poland 57.56 4.35 40 49.02 66.10
    Netherlands 66.78 6.95 14 53.14 80.42
    France 48.40 6.24 17 36.14 60.66
    Belgium 47.32 7.35 12 32.88 61.76
    England 41.85 5.07 25 31.90 51.81
    Germany 56.53 5.51 21 45.7 67.35
    Italy 56.03 6.81 14 42.65 69.42
    Finland 58.25 4.00 43 50.39 66.11
    Sweden 67.13 5.55 23 56.23 78.02
    United States 47.13 1.51 349 44.17 50.10
    Canada 54.15 6.35 16 41.68 66.63
    Cellulite
    Netherlands 78.70 6.72 10 65.5 91.91
    England 57.72 2.93 54 51.96 63.48
    United States 58.08 1.05 391 56.02 60.14
    Canada 62.8 6.27 11 50.47 75.12
    Health-related quality of life scales
    Scale Country Mean Std. error N 95 % Confidence interval
    Psychological function
    Denmark 63.10 1.70 159 59.78 66.43
    Poland 58.04 1.51 210 55.08 60.99
    Netherlands 61.51 1.49 208 58.59 64.43
    England 54.13 1.48 205 51.23 57.04
    Germany 56.88 1.47 205 53.98 59.78
    Italy 55.94 1.51 204 52.99 58.89
    Finland 58.10 1.48 205 55.19 62.01
    Sweden 57.98 1.47 209 55.09 60.86
    United States 57.93 0.63 1427 56.70 59.17
    Canada 55.44 2.81 58 49.94 60.94
    Physical function
    Denmark 84.31 1.49 159 81.39 87.24
    Poland 77.10 1.32 210 74.5 79.69
    Netherlands 81.23 1.31 208 78.67 83.79
    France 79.00 1.29 210 76.46 81.55
    Belgium 74.49 1.41 178 71.72 77.25
    England 80.70 1.31 204 78.13 83.27
    Germany 83.23 1.29 205 80.68 85.78
    Italy 83.31 1.32 204 80.72 85.89
    Finland 80.77 1.30 205 78.21 83.32
    Sweden 81.86 1.29 209 79.33 84.40
    United States 83.45 0.57 1427 80.34 83.56
    Canada 79.67 2.48 58 74.81 84.54
    Social function
    Denmark 61.16 1.43 159 58.36 63.96
    Poland 56.16 1.27 210 53.68 58.64
    Netherlands 59.53 1.25 208 57.08 61.98
    France 55.81 1.24 210 53.38 58.24
    Belgium 56.41 1.35 178 53.77 59.05
    England 53.64 1.25 205 51.19 56.1
    Germany 54.51 1.24 205 52.08 56.95
    Italy 55.41 1.26 204 52.94 57.89
    Finland 52.39 1.25 205 49.94 54.83
    Sweden 56.80 1.24 209 54.37 59.22
    United States 54.10 0.54 1427 53.04 55.16
    Canada 52.46 2.37 58 47.8 57.11
    Sexual function
    Denmark 65.89 2.09 108 61.79 70
    Poland 57.61 2.09 112 53.52 61.7
    Netherlands 67.88 1.99 119 63.98 71.78
    France 58.67 1.84 140 55.06 62.27
    Belgium 58.95 1.98 121 55.07 62.83
    England 60.64 1.86 134 56.99 64.29
    Germany 59.82 1.87 134 55.15 62.49
    Italy 63.77 1.81 147 60.23 67.31
    Finland 57.59 1.81 142 54.04 61.15
    Sweden 63.50 1.96 120 59.66 67.34
    United States 58.46 0.75 1050 57.00 59.93
    Canada 60.05 3.12 49 53.92 66.17
    Body image
    Denmark 51.76 1.71 159 48.41 55.10
    Poland 47.46 1.52 210 44.48 50.43
    Netherlands 53.45 1.50 208 50.51 56.39
    England 42.17 1.49 205 39.24 45.09
    Germany 48.74 1.49 205 45.82 51.65
    Italy 47.03 1.51 204 44.06 49.99
    Finland 46.31 1.49 205 43.48 49.23
    Sweden 47.07 1.48 209 44.17 49.97
    United States 45.12 0.63 1427 43.87 46.37
    Canada 44.72 2.82 58 39.19 50.26
    Distress
    Poland 38.86 1.44 210 36.03 41.69
    France 37.36 1.41 209 34.60 40.11
    Belgium 37.30 1.52 178 34.32 40.29
    England 43.91 1.4 205 41.16 46.66
    Germany 35.58 1.40 205 32.84 38.33
    Italy 38.39 1.43 204 35.85 41.20
    USA 44.29 0.58 1429 43.15 45.42
    Canada 46.3 2.63 58 41.14 51.46
    Work
    Denmark 80.20 1.98 86 76.31 84.08
    Netherlands 76.15 3.42 26 69.44 82.87
    England 71.22 1.90 90 67.50 74.94
    United States 70.41 0.62 812 69.20 71.62
    Canada 61.62 3.51 25 54.74 68.51
    Eating-related concerns scales
    Scale Country Mean Std. error N 95 % Confidence interval
    Eating-related symptoms
    Denmark 82.05 1.05 159 79.99 84.11
    Netherlands 80.29 0.93 208 78.46 82.11
    England 78.06 0.90 205 76.3 79.82
    United States 79.58 0.34 1429 78.92 80.26
    Canada 78.53 1.66 58 75.29 81.78
    Eating-related distress
    Denmark 84.92 1.51 159 81.96 87.88
    Netherlands 83.34 1.34 208 80.71 85.96
    England 77.83 1.29 205 75.30 80.36
    United States 76.83 0.49 1429 75.86 77.79
    Canada 73.12 2.38 58 68.45 77.78
    Eating behaviour
    Denmark 55.67 0.98 159 53.74 57.59
    Netherlands 56.79 0.87 208 55.09 58.49
    England 52.17 0.84 205 50.52 53.81
    United States 54.06 0.32 1429 53.43 54.69
    Canada 53.3 1.55 58 50.27 56.34

    REFERENCES

    General population normative scores for interpreting the BODY‐Q (2025)
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