当前位置:高等教育资讯网  >  中国高校课件下载中心  >  大学文库  >  浏览文档

《社会心理学》课程教学资源(文献资料)social self——“Obesity Is a Disease” - Examining the Self-Regulatory Impact of This Public-Health Message

资源类别:文库,文档格式:PDF,文档页数:6,文件大小:569.16KB,团购合买
点击下载完整版文档(PDF)

Psychological Sclence OnlineFirst,published on January 24,2014 as doi:10.1177/0956797613516981 aos Research Report PSYCHOLOGICAL SCIENCE “Obesity Is a Disease'”:Examining the Self-Regulatory Impact of This Public-Health Message SAGE In the current work.we examined the impact of the American Medical Association's recent classification of obesity as a disease on weight-management processes.Across three experimental studies,we highlighted the potential hidden costs associated with labeling obesity as a disease.showing that this message,presented in an weight among obese individuals the very people whom such public-health messages are targeting.Further.the decreased concem about weight predicted higher-calorie food choices.In addition,the disease message,relative toa message that ob sage f-regulatio Keywords Received 8/12/3 Revision accepted 11/24/13 The American Medical Association,a leading voice in The term disease suggests that bodies,physiology,and health 2 genes ar and treatment of obesity.weight-related public-health ach has shown that p hysiological factors are ascribed messages should also encourage obese individuals to lower levels of controllability relative to situational or rs (Dar- DCg et sit disas should increase bod satisfaction by futile and failure inevitable.which results in feelings of hopelessness and ultimately disengagement from one's which can,in tum. 20051.H0 1994d that the obesity is a disease"message may under mine important weight-management efforts. ,20

Psychological Science 1–6 © The Author(s) 2014 Reprints and permissions: sagepub.com/journalsPermissions.nav DOI: 10.1177/0956797613516981 pss.sagepub.com Research Report The American Medical Association, a leading voice in medical, policy, and health regulations, formally recog￾nized obesity as a disease in June 2013. In addition to commanding more funding for the research, prevention, and treatment of obesity, weight-related public-health messages should also encourage obese individuals to value their health, engage in healthier behavior, and ulti￾mately lose weight (Cameron & Leventhal, 2003). Furthermore, public-health messages that focus on obe￾sity as a disease should increase body satisfaction by emphasizing the physiological triggers of weight gain, which can, in turn, reduce stigma and personal blame (Crandall, 1994; Monterosso, Royzman, & Schwartz, 2005). However, despite probable benefits, we suggest that the “obesity is a disease” message may also under￾mine important weight-management efforts. The term disease suggests that bodies, physiology, and genes are malfunctioning. By invoking physiological explanations for obesity, the disease label encourages the perception that weight is unchangeable. Across domains, research has shown that physiological factors are ascribed lower levels of controllability relative to situational or behavioral factors (Dar-Nimrod & Heine, 2006; Monterosso et al., 2005; Plaks, Malahy, Sedlins, & Shoda, 2012). These immutable descriptions make self-regulatory efforts seem futile and failure inevitable, which results in feelings of hopelessness and ultimately disengagement from one’s 516981PSSXXX10.1177/0956797613516981Hoyt et al.“Obesity Is a Disease” research-article2014 Corresponding Author: Crystal L. Hoyt, University of Richmond, Jepson School of Leadership Studies, 28 Westhampton Way, Jepson Hall, Richmond, VA 23173 E-mail: choyt@richmond.edu “Obesity Is a Disease”: Examining the Self-Regulatory Impact of This Public-Health Message Crystal L. Hoyt1,2, Jeni L. Burnette2 , and Lisa Auster-Gussman3 1 Jepson School of Leadership Studies, University of Richmond; 2 Department of Psychology, University of Richmond; and 3 Department of Psychology, University of Minnesota Abstract In the current work, we examined the impact of the American Medical Association’s recent classification of obesity as a disease on weight-management processes. Across three experimental studies, we highlighted the potential hidden costs associated with labeling obesity as a disease, showing that this message, presented in an actual New York Times article, undermined beneficial weight-loss self-regulatory processes. A disease-based, relative to an information-based, weight-management message weakened the importance placed on health-focused dieting and reduced concerns about weight among obese individuals—the very people whom such public-health messages are targeting. Further, the decreased concern about weight predicted higher-calorie food choices. In addition, the disease message, relative to a message that obesity is not a disease, lowered body-image dissatisfaction, but this too predicted higher-calorie food choices. Thus, although defining obesity as a disease may be beneficial for body image, results from the current work emphasize the negative implications of this message for self-regulation. Keywords self-regulation, weight, public-health message, disease, obesity, self-control, mental models, individual differences, health Received 8/12/13; Revision accepted 11/24/13 Psychological Science OnlineFirst, published on January 24, 2014 as doi:10.1177/0956797613516981 Downloaded from pss.sagepub.com by Cai Xing on February 13, 2014

2 Hoyt et al. Brown,1981).Thus,the me eac d bd dcx (BMD. individuals-the very people these public-health messages We expected obese individuals to be more concemed are targeting (Teixeira,Mata,Williams,Gorin,&Lemieux, with their health and weight than individuals of average 2012 be (Neumark 1997 edicted that the disease message,relative es dise obesity is not a disease,would undercut the importance Study 2.we also tested whether reduced concern for that obese individuals place on dieting to improve their weight predicted higher-calorie food choices. health and undermine their concem lor the food).We also investigated whether the disease message and health problems (questions adapted from Blokstra with its focus on physiological explanations,improve Burns,Seidell,1999).We asked participants to indicate erate bod bese individ t 18074 tomorrow or were currently In study 2.participants indicated instead how con that such body-image concerns are a stronger motivating cemed they were with watching their weight on a 7-point force than health c emns for engaging in healthy behav ors (e.g.,M a me that oh ease alters crucial psychological pr cesses Ge concern order from the following choices:The Italian (980 calo about weight,body image)underlying obese individuals' ries). ed Turkey Breast (360 calories),Roast Bee motivation to engage in healthy behaviors (i.e.,choosing and Chedda (700 calories). BLT (634 calories),and lower-calorie food light(23 ed the number Norman,2010,for using parametric statistics with this Study 1 and Study 2 type of scale). Method edure Results Ordinary least squares(OLS)regt ession equations revealed (Buhrmester,Kwang,Gosling,2011).One hundred an interaction between participants'BMI (Study 1 o山 1M 261kem”6o6nmge1g50.sdy2 27.19kgm range oded)and me in Study 2.We randomly assigned participants to tion had an effect on both health either a recent New York Times article (Pollack,2013) focused dieting (b=-0.04,B=-0.13.p=.082;see Fig.1) discussing the decision of the American Medical Associa and concem for weight (b= -0.04,B ity as a d ora control articl or con effects across public-health message about weight-In the Time tive to the rol mpeop cle,the author summarizes some of the major benefits of decreases in health-focused dieting in Study 1(=-0.21. this decision,such as compensation for obesity-related B-0.12.p25)and significant decreases in concern surgery.counseling.an or weignt in st y 2 (b: 4,P 31,p .002 In the info ion based c ntrol article the author high dicted nonsignific lights standard tips and tools for managing weight,such health-focused dieting (=025 B 014=18)and as keeping exercise activities interesting and monitoring weight weekly. 3,201

2 Hoyt et al. attempts to regulate behavior (Carver & Scheier, 2011; Finlay-Jones & Brown, 1981). Thus, the message that obesity is a disease may undermine important psycho￾logical determinants of salubrious behaviors for obese individuals—the very people these public-health messages are targeting (Teixeira, Mata, Williams, Gorin, & Lemieux, 2012). We predicted that the disease message, relative to a standard weight-management message or a message that obesity is not a disease, would undercut the importance that obese individuals place on dieting to improve their health and would undermine their concern for their weight. In addition, this reduced concern would predict less healthy food choices (i.e., selection of higher calorie food). We also investigated whether the disease message, with its focus on physiological explanations, improves body satisfaction (e.g., Crandall, 1994) but whether such increases have costs. For obese individuals, mild or mod￾erate body dissatisfaction can serve as a motivator to reduce consumption. Indeed, some research illustrates that such body-image concerns are a stronger motivating force than health concerns for engaging in healthy behav￾iors (e.g., McDonald & Thompson, 1992). In summary, we examined whether the message that obesity is a dis￾ease alters crucial psychological processes (i.e., concern about weight, body image) underlying obese individuals’ motivation to engage in healthy behaviors (i.e., choosing lower-calorie foods). Study 1 and Study 2 Method Participants and procedure. For Studies 1 and 2, we recruited participants from Amazon’s Mechanical Turk (Buhrmester, Kwang, & Gosling, 2011). One hundred eighty-two participants (44% female, 56% male; median age = 30 years) took part in Study 1, and 185 participants (38% female, 62% male; median age = 27 years) took part in Study 2.1 We randomly assigned participants to read either a recent New York Times article (Pollack, 2013) discussing the decision of the American Medical Associa￾tion to categorize obesity as a disease or a control article (Luedtke, 2011) offering a standard information-based public-health message about weight.2 In the Times arti￾cle, the author summarizes some of the major benefits of this decision, such as compensation for obesity-related drugs, surgery, counseling, and reduced stigma against people who are obese, as well as some of the drawbacks. In the information-based control article, the author high￾lights standard tips and tools for managing weight, such as keeping exercise activities interesting and monitoring weight weekly. After reading their respective article, participants in each condition responded to measures, which were fol￾lowed by demographic questions including height and weight so we could compute body mass index (BMI).3 We expected obese individuals to be more concerned with their health and weight than individuals of average weight would be (Neumark-Sztainer et al., 1997). However, notably, we expected these self-regulatory pro￾cesses to be undermined by the disease message. In Study 2, we also tested whether reduced concern for weight predicted higher-calorie food choices. Measures. In Study 1, we presented participants with two health-focused reasons for dieting: medical advice and health problems (questions adapted from Blokstra, Burns, & Seidell, 1999). We asked participants to indicate, on a 9-point scale, how important each reason would be to them if they started a diet tomorrow or were currently dieting, r(180) = .74, p < .001. In Study 2, participants indicated instead how con￾cerned they were with watching their weight on a 7-point scale ranging from very unconcerned to very concerned. We also presented participants in Study 2 with a menu and asked them to indicate which sandwich they would order from the following choices: The Italian (980 calo￾ries), Smoked Turkey Breast (360 calories), Roast Beef and Cheddar (700 calories), BLT (634 calories), and Vegetable Delight (230 calories). We used the number of calories each participant ordered for analyses (see Norman, 2010, for using parametric statistics with this type of scale). Results Ordinary least squares (OLS) regression equations revealed an interaction between participants’ BMI (Study 1: M = 26.71 kg/m2 , SD = 6.06, range = 18–50; Study 2: M = 27.19 kg/m2 , SD = 7.07, range = 16–51) and message type (disease vs. control; effects coded 1 and −1, respec￾tively), and this interaction had an effect on both health￾focused dieting (b = −0.04, β = −0.13, p = .082; see Fig. 1) and concern for weight (b = −0.04, β = −0.31, p = .005; see Fig. 2).4 Tests of conditional effects across BMI revealed that for obese people, the disease message, rela￾tive to the control message, predicted nonsignificant decreases in health-focused dieting in Study 1 (b = −0.21, β = −0.12, p = .25) and significant decreases in concern for weight in Study 2 (b = −0.47, β = −0.31, p = .002). The opposite pattern emerged for people of average weight; the disease message predicted nonsignificant increases in health-focused dieting (b = 0.25, β = 0.14, p = .18) and concern for weight (b = 0.15, β = 0.10, p = .31). BMI significantly predicted health-focused dieting (b = 0.06, Downloaded from pss.sagepub.com by Cai Xing on February 13, 2014

"Obesity Is a Disease" 3 Average Weight (calculated using Hayes's,2013,Model 7 for the PROCESS -Obese 9.0 1.70 nce interval (CI)=[0.37 )40 8.5 als of average weight,95%CI=[-21.384,5.608).That is, 8.0 obese individuals who read the disease message reported less concern for their weight than thos Study 3 65 case me ge we used an "obesity is not a disease"con 6.0 trol message in Study 3.This message emphasized that the Control Disease Message Type to the obesity crisis is to give people theknow e and not torthe psvchological determinant of health behavior:body dis satisfaction (Heinberg.Thompson,Matzon,2001). relationships were nonexistent in the disease condition dissatisfaction can help motivate individuals to reduce cal (health-focused dieting:b=-0.012.B =-0.04,p=.71; orie consumption (Heinberg et al.,2001).Thus,to extend concem for weight:b -0.002,B=-0.01,p= 0 wa the findings of Studies I and 2,we replaced concern for weight as th on healthy food choice through concem for weight Average Weight Metbod ---Obese 60 hree mal poartons nedian ag Participants read either the disease message (same article as and 2)or t ol n Th 50 4.5 in Forbes magazine (Kabat,2013)and on the Fox News Web site (Ablow,2013).The authors focused on the rea 540 sons that obes should not b dered disease 35 health outcomes.such as diabetes and heart disease.that result from obesity.After reading their respective article 3.0 participants nded to measures and demographic Control Message Type tion,we expected a direct positive relation between BMI and body dissatisfaction,in line with other work (Hill mass index Williams,1998).And,notably,we expected the message

“Obesity Is a Disease” 3 β = 0.22, p = .029) and concern for weight (b = 0.09, β = 0.40, p < .001) in the control condition, whereas these relationships were nonexistent in the disease condition (health-focused dieting: b = −0.012, β = −0.04, p = .71; concern for weight: b = −0.002, β = −0.01, p = .90). Finally, for obese individuals in Study 2, there was a conditional indirect effect of the disease message on healthy food choice through concern for weight (calculated using Hayes’s, 2013, Model 7 for the PROCESS tool, shown in Fig. 3), index of moderated mediation = 1.70, 95% confidence interval (CI) = [0.377, 3.940]. Specifically, this indirect effect was significant for obese individuals, 95% CI = [5.395, 40.875], but not for individu￾als of average weight, 95% CI = [−21.384, 5.608]. That is, obese individuals who read the disease message reported less concern for their weight than those who read the information-based health message and subsequently made more unhealthy, higher-calorie food choices. Study 3 To address the concern that the findings might be driven more by the control-condition message than by the dis￾ease message, we used an “obesity is not a disease” con￾trol message in Study 3. This message emphasized that the solution to the obesity crisis is to give people the knowl￾edge and tools to make better choices and not to label obesity as a disease. Additionally, we examined a further psychological determinant of health behavior: body dis￾satisfaction (Heinberg, Thompson, & Matzon, 2001). Although a physiological attribution for weight can reduce self-blame and body-image concerns (Crandall, 1994; Monterosso et al., 2005), a mild or moderate level of body dissatisfaction can help motivate individuals to reduce cal￾orie consumption (Heinberg et al., 2001). Thus, to extend the findings of Studies 1 and 2, we replaced concern for weight as the mediating mechanism linking the disease message to calorie consumption for obese individuals with body dissatisfaction. Method Participants and procedure. Three hundred sixty participants (40% female, 60% male; median age = 29 years) from Amazon’s Mechanical Turk took part in Study 3.5 Participants read either the disease message (same article as in Studies 1 and 2) or the control message. The control article focused on why obesity is not a disease and included selected paragraphs from articles published in Forbes magazine (Kabat, 2013) and on the Fox News Web site (Ablow, 2013). The authors focused on the rea￾sons that obesity should not be considered a disease, comparing it with smoking and highlighting the impor￾tance of personal behavior and choice in the negative health outcomes, such as diabetes and heart disease, that result from obesity. After reading their respective article, participants responded to measures and demographic questions. Although certain subgroups (e.g., women) are more at risk than others (e.g., men) for body dissatisfac￾tion, we expected a direct positive relation between BMI and body dissatisfaction, in line with other work (Hill & Williams, 1998). And, notably, we expected the message 6.0 6.5 7.0 7.5 8.0 8.5 9.0 Control Disease Dieting for Health Reasons Message Type Average Weight Obese Fig. 1. Results from Study 1: mean rating of the importance of dieting for health reasons as a function of message type and body mass index. 3.0 3.5 4.0 4.5 5.0 5.5 6.0 Control Disease Concern for Weight Message Type Average Weight Obese Fig. 2. Results from Study 2: mean rating of how concerned partici￾pants were about their weight as a function of message type and body mass index. Downloaded from pss.sagepub.com by Cai Xing on February 13, 2014

Hoyt et al. Body Mass Index DseaMesage ealthy Food Choic describing obesity asa disease relativ individuals of av eight,95%C=【-9.945,0.991 that oh me and also to come at a self-regulatory cost-namely, resulted in lower body dissatisfaction,which predicted higher-calorie food choices (Heinberg et al.,2001). geof meal onnng d the ing Rat on Gray.1995) Selecting from nine drawings increasing in size from thin Discussion to obese,participants indicated which body shape resem- This research illuminates the potential benefits and hid eir own a d which one they wish they re sity is 2 ants regulatory processes in obese individuals.A disease based,relative to an information-based,public-health Results g9 reduced the importance placed on health OLS regre 2 disease),and ant effect on body ◆-Average Weigh ditional offocts aled that ----Obese 30 25 relationshin between bMi and body dissatisfaction was significant in both conditions,but it was significantly less strong in the disease condition (b=0.09.B=0.52.p< p<.001 an in the control condition (=0.14.B=0.78. Finally,for obese individuals,there was a conditional indirect effect of the disease message on healthy food 05 choice through sfaction (calculated usin唱 Hayes's, ,n 0.0 Not Disease Disease Specifically the indirect effect of me on cale Message Type 18.302].was significant for obese individuals but not for 1.201

4 Hoyt et al. describing obesity as a disease, relative to the message that obesity is not a disease, to reduce this dissatisfaction and also to come at a self-regulatory cost—namely, higher-calorie food choices (Heinberg et al., 2001). Measures. To assess body dissatisfaction, we used the Contour Drawing Rating Scale (Thompson & Gray, 1995). Selecting from nine drawings increasing in size from thin to obese, participants indicated which body shape resem￾bled their own and which one they wish they resembled. The discrepancy between these two ratings was the index of body dissatisfaction.6 We also presented participants with the same menu task as in Study 2. Results OLS regression equations revealed an interaction between participants’ BMI (M = 27.91 kg/m2 , SD = 7.41, range = 14–64) and message type (disease vs. not disease), and this interaction had a significant effect on body dissatis￾faction (b = −0.02, β = −0.13, p = .002; see Fig. 4). Tests of conditional effects across BMI revealed that obese people reported significantly lower levels of body dis￾satisfaction (b = −0.24, β = −0.18, p = .003) in the disease condition than in the control condition. For individuals of average weight, there was no significant difference in body dissatisfaction (b = 0.10, β = 0.08, p = .203). The relationship between BMI and body dissatisfaction was significant in both conditions, but it was significantly less strong in the disease condition (b = 0.09, β = 0.52, p < .001) than in the control condition (b = 0.14, β = 0.78, p < .001). Finally, for obese individuals, there was a conditional indirect effect of the disease message on healthy food choice through body dissatisfaction (calculated using Hayes’s, 2013, Model 7 for the PROCESS tool), index of moderated mediation = 0.63, 95% CI = [0.077, 1.802]. Specifically, the indirect effect of message type on calo￾ries chosen through body dissatisfaction, 95% CI = [1.043, 18.302], was significant for obese individuals but not for individuals of average weight, 95% CI = [−9.945, 0.991]. That is, for obese individuals, the disease message resulted in lower body dissatisfaction, which predicted the choice of meals containing higher calories (see Fig. 3).7 Discussion This research illuminates the potential benefits and hid￾den costs associated with the message that “obesity is a disease” by showing that this message cultivates increased body satisfaction but also undermines beneficial self￾regulatory processes in obese individuals. A disease￾based, relative to an information-based, public-health message reduced the importance placed on health￾focused dieting and concern for weight, and it predict￾ed less healthy food choices (i.e., selection of food Healthy Food Choice Concern for Weight/ Body Dissatisfaction Disease Message Body Mass Index Fig. 3. Model showing body mass index as a moderator of the indirect effect of message type on healthy food choice, with decreased concern for weight (Study 2) and decreased body sat￾isfaction (Study 3) as mediators. 0.0 0.5 1.0 1.5 2.0 2.5 3.0 Not Disease Disease Body Dissatisfaction Message Type Average Weight Obese Fig. 4. Results from Study 3: mean rating of body dissatisfaction as a function of message type and body mass index. Downloaded from pss.sagepub.com by Cai Xing on February 13, 2014

"Obesity Is a Disease" 5 containing more calories)for individuals with higher and (b)inspire additional empirical inguiry in order to e dodyfacton aid more scientifically informed decisions about both the costs and benefits of an"obesity is a disease"message. le eight-rel Author Contributions public-health messages are targe ing because even mod. est weight loss in obese individuals can have lasting and benefits (Oster, Thompson, Hoytand J Bumete analyzed and interpreted the data.C. erg.B g the All manu script for submission. ioral measures of eating behavior should be employed (Baumeister,Vohs,Funde ,2007 Future work sh Declaration of Conflicting Interests ontinue to examine w viduals and should explore additional mediating mecha- nisms in order to foster a better understanding of the Notes psychological effects of this message.Considering tha 1.Data on body mass index(BMD)were unavailable for 1 par- a more nu. 2.Participants were asked to summarize the theme of the artide sigificant implications for patient-level and polic-level one sentence.Less tha n 5%of participants across all stu outcomes,and we hope this article sparks such inquiry on the deleterious Excluding the nonresponders did not meaningfully change the age on at i .BMI was slighly skewed across studies.A square. mortality and morbidity (e.g,Miller,1999).Furthermore but re antidieting movements often incorporate a physiologica BMI was used as continuc d rent work sug est that such efforts ould be suco improving body satisfaction but that such increases may BMI lead to increased calorie consumption.Thus,we encou siy(BM BMI data were unavailable for 3 participants in S ch to exan ne the dissatisfaction. stronger,when they were included).Eight people did not com We are not advocating that t he "thin"ideal that pe vade cultu an ad goal,nor Ancillary analyses revealed a significant intera action that the ndition and t diverse body sizes is laudable.as is the goal to increase medical treatment for obese individua hemes that no sign the argu ent in support of ob diy as References nd empirical support in social psychology more generally Ablow.K.(013.June 2).Obesity is not a disease (e.g.,Major O'Brien,2005)and within a weight-man- is-not-dis to 2010) uhl He Psychol as the science of self. orts and finger mo of the current work was to (a)highlight some of the hid- 03.do101117 den self-regulatory costs of this public-health message 6916.2007.00051.x

“Obesity Is a Disease” 5 containing more calories) for individuals with higher BMIs. Furthermore, a disease message, relative to a not￾disease message, increased body satisfaction, which also predicted less healthy food choices for individuals with higher BMIs. It is these very people whom weight-related, public-health messages are targeting, because even mod￾est weight loss in obese individuals can have lasting health and economic benefits (Oster, Thompson, Edelsberg, Bird, & Colditz, 1999). However, before putting these findings into practice, additional work is needed. For example, actual behav￾ioral measures of eating behavior should be employed (Baumeister, Vohs, & Funder, 2007). Future work should also continue to examine whether there is a direct effect of a disease message on eating behavior for obese indi￾viduals and should explore additional mediating mecha￾nisms in order to foster a better understanding of the psychological effects of this message. Considering that obesity is a crucial public-health issue, a more nuanced understanding of an “obesity is a disease” message has significant implications for patient-level and policy-level outcomes, and we hope this article sparks such inquiry. For example, we focused primarily on the deleterious effects of the disease message on calorie consumption. However, some researchers argue that it is this focus on reduced calories, not obesity itself, that leads to increased mortality and morbidity (e.g., Miller, 1999). Furthermore, antidieting movements often incorporate a physiological explanation for obesity in the hopes of diminishing stigma and increasing body esteem. Results from the cur￾rent work suggest that such efforts could be successful at improving body satisfaction but that such increases may lead to increased calorie consumption. Thus, we encour￾age future research to examine the costs and benefits of various policy messages about obesity and to move beyond the narrow focus on the negative effects of body dissatisfaction. We are not advocating that the “thin” ideal that per￾vades Western culture is an admirable goal, nor that internalizing these unhealthy standards is a worthwhile strategy. In addition, we agree that the acceptance of diverse body sizes is laudable, as is the goal to increase medical treatment for obese individuals—themes that emerge in the argument in support of obesity as a dis￾ease. Furthermore, the positive effects of reducing stigma for goal engagement and attainment have substantial empirical support in social psychology more generally (e.g., Major & O’Brien, 2005) and within a weight-man￾agement context more specifically (Puhl & Heuer, 2010). Recognizing that there are potential benefits to labeling obesity as a disease, we conclude by noting that the aim of the current work was to (a) highlight some of the hid￾den self-regulatory costs of this public-health message and (b) inspire additional empirical inquiry in order to aid more scientifically informed decisions about both the costs and benefits of an “obesity is a disease” message. Author Contributions C. L. Hoyt and J. L. Burnette conceived and designed the study. Data collection was performed by L. Auster-Gussman, and C. L. Hoyt and J. L. Burnette analyzed and interpreted the data. C. L. Hoyt drafted the manuscript, and J. L. Burnette provided critical revisions. All authors approved the final version of the manu￾script for submission. Declaration of Conflicting Interests The authors declared that they had no conflicts of interest with respect to their authorship or the publication of this article. Notes 1. Data on body mass index (BMI) were unavailable for 1 par￾ticipant in Study 1 and 6 participants in Study 2. 2. Participants were asked to summarize the theme of the article in one sentence. Less than 5% of participants across all studies failed to give a meaningful response to this question, which indicates that participants read and understood the article. Excluding the nonresponders did not meaningfully change the results. 3. BMI was slightly skewed across studies. A square-root trans￾formation reduced the skewness, but results were indistinguish￾able from those using the untransformed variable. 4. BMI was used as a continuous predictor. To graph interac￾tions, we used the standard ±1 standard-deviation approach. In these samples, values 1 standard deviation below and above the mean corresponded precisely with the World Health Organization’s (2006) classifications of average weight (BMI = 18.5–24.99 kg/m2 ) and obesity (BMI ≥ 30 kg/m2 ), respectively. 5. BMI data were unavailable for 3 participants in Study 3. 6. Given our focus on obesity, we excluded people (n = 40) who reported wanting to be larger (analyses were similar, and stronger, when they were included). Eight people did not com￾plete the dissatisfaction measure, which left a final sample of 311 participants with both dissatisfaction and BMI scores. 7. Ancillary analyses revealed a significant interaction between BMI and message type on calories in Study 2 (p = .049; BMI negatively predicted calories in the control condition and posi￾tively predicted calories in the disease condition), but there was no significant relationship in Study 3. References Ablow, K. (2013, June 20). Obesity is not a disease—and nei￾ther is alcoholism. Fox News. Retrieved from http://www .foxnews.com/health/2013/06/20/dr-keith-ablow-obesity￾is-not-disease-and-neither-is-alcoholism/ Baumeister, R. F., Vohs, K. D., & Funder, D. C. (2007). Psychology as the science of self-reports and finger move￾ments: Whatever happened to actual behavior? Perspectives on Psychological Science, 2, 396–403. doi:10.1111/j.1745- 6916.2007.00051.x Downloaded from pss.sagepub.com by Cai Xing on February 13, 2014

Hoyt et al. Gosling.S.D.(2011).Amazon's Mechanical Turk:A new source of yet high Cameron,1. (Eds.).(2003).The sefregu Monterosso,J.,Royzman,E.B..Schwartz,B.(2005) ealtb and ebaviour.London.England Ne cems and heath-compromising ove Crandall,C..(1).Prejudi e against fat people:Ideology and Dar-Nimrod,I. Heine,S.J.(2006).Exposure to scientifi 22 Finlay-Jones,R..&Brown.G.W.(1981).Types of stressful life Plaks.E.Malahy.L Sedlins.M.shoda,Y.C2012) Folk beliefs about human genetic variation predict dis New York.NY:Guilford Press bias.Social Psycbological sclence. Heir Body Pollack:A (2013.lune 28)A MA disease.The N Puhl,R.M.Heu bat.G.(2013.July 9)why labeling opesiry &Lemieux ved from h factors in weight manag forbe.com/e//07/why-labeling 82348Re from hutp://www.hindawi.com/ouml Luedike.H.S.(2011.January).Winning weight-loss Thompson,M.&Gray,(15).Development and vai of a new ofBiy Ass smenl..258-269.doi:102m The social World Health ication.Retr html

6 Hoyt et al. Blokstra, A., Burns, C. M., & Seidell, J. C. (1999). Perception of weight status and dieting behavior in Dutch men and women. International Journal of Obesity, 23, 7–18. doi:10.1038/sj.ijo.0800803 Buhrmester, M., Kwang, T., & Gosling, S. D. (2011). Amazon’s Mechanical Turk: A new source of inexpensive, yet high￾quality, data? Perspectives on Psychological Science, 6, 3–5. doi:10.1177/1745691610393980 Cameron, L. D., & Leventhal, H. (Eds.). (2003). The self-regu￾lation of health and illness behaviour. London, England: Routledge. Carver, C. S., & Scheier, M. F. (2011). Self-regulation of action and affect. In K. D. Vohs & R. F. Baumeister (Eds.), Handbook of self-regulation: Research, theory, and applications (2nd ed., pp. 3–21). New York, NY: Guilford. Crandall, C. S. (1994). Prejudice against fat people: Ideology and self-interest. Journal of Personality and Social Psychology, 66, 882–894. doi:10.1037/0022-3514.66.5.882 Dar-Nimrod, I., & Heine, S. J. (2006). Exposure to scientific theories affects women’s math performance. Science, 314, 435. doi:10.1126/science.1131100 Finlay-Jones, R., & Brown, G. W. (1981). Types of stressful life event and the onset of anxiety and depressive disorders. Psychological Medicine, 11, 803–815. Hayes, A. F. (2013). Introduction to mediation, moderation, and conditional process analysis: A regression-based approach. New York, NY: Guilford Press. Heinberg, L. J., Thompson, J. K., & Matzon, J. L. (2001). Body image dissatisfaction as a motivator for healthy lifestyle change: Is some distress beneficial? In R. H. Striegel-Moore & L. Smolak (Eds.), Eating disorders: Innovative directions in research and practice (pp. 215–232). Washington, DC: American Psychological Association. Hill, A. J., & Williams, J. (1998). Psychological health in a non￾clinical sample of obese women. International Journal of Obesity, 22, 578–583. doi:10.1038/sj.ijo.0800631 Kabat, G. (2013, July 9). Why labeling obesity as a disease is a big mistake. Forbes Magazine. Retrieved from http://www .forbes.com/sites/geoffreykabat/2013/07/09/why-labeling￾obesity-as-a-disease-is-a-big-mistake/ Luedtke, H. S. (2011, January). Winning weight-loss goals. Washington Family Magazine. Retrieved from http:// www.publicationhub.com/article/Winning+Weight-Loss+ Goals/941060/95827/article.html Major, B., & O’Brien, L. T. (2005). The social psychology of stigma. Annual Review of Psychology, 56, 393–421. doi:10.1146/annurev.psych.56.091103.070137 McDonald, K., & Thompson, J. K. (1992). Eating disturbance, body image dissatisfaction, and reasons for exercising: Gender differences and correlational findings. International Journal of Eating Disorders, 11, 289–292. doi:10.1002/1098- 108X(199204)11:33.0.CO;2-F Miller, W. C. (1999). Fitness and fatness in relation to health: Implications for a paradigm shift. Journal of Social Issues, 55, 207–219. doi:10.1111/0022-4537.00113 Monterosso, J., Royzman, E. B., & Schwartz, B. (2005). Explaining away responsibility: Effects of scientific expla￾nation on perceived culpability. Ethics & Behavior, 15, 139– 158. doi:10.1207/s15327019eb1502_4 Neumark-Sztainer, D., Story, M., French, S. A., Hannan, P. J., Resnick, M. D., & Blum, R. W. (1997). Psychosocial con￾cerns and health-compromising behaviors among over￾weight and nonoverweight adolescents. Obesity Research, 5, 237–249. doi:10.1002/j.1550-8528.1997.tb00298.x/pdf Norman, G. (2010). Likert scales, levels of measurement and the “laws” of statistics. Advances in Health Science Education, 15, 625–632. doi:10.1007/s10459-010-9222-y Oster, G., Thompson, D., Edelsberg, J., Bird, A. P., & Colditz, G. A. (1999). Lifetime health and economic benefits of weight loss among obese persons. American Journal of Public Health, 89, 1536–1542. doi:10.2105/AJPH.89.10.1536 Plaks, J. E., Malahy, L. W., Sedlins, M., & Shoda, Y. (2012). Folk beliefs about human genetic variation predict dis￾crete versus continuous racial categorization and evaluative bias. Social Psychological & Personality Science, 3, 31–39. doi:10.1177/1948550611408118 Pollack, A. (2013, June 28). A.M.A. recognizes obesity as a disease. The New York Times. Retrieved from http://www .nytimes.com/2013/06/19/business/ama-recognizes-obesity￾as-a-disease.html?_r=0 Puhl, R. M., & Heuer, C. A. (2010). Obesity stigma: Important considerations for public health. American Journal of Public Health, 100, 1019–1028. doi:10.2105/AJPH.2009.159491 Teixeira, P. J., Mata, J., Williams, G. C., Gorin, A. A., & Lemieux, S. (2012). Self-regulation, motivation, and psychosocial factors in weight management. Journal of Obesity, Article 582348. Retrieved from http://www.hindawi.com/journals/ jobe/2012/582348/ Thompson, M. A., & Gray, J. J. (1995). Development and vali￾dation of a new body-image assessment scale. Journal of Personality Assessment, 64, 258–269. doi:10.1207/ s15327752jpa6402_6 World Health Organization. (2006). BMI classification. Retrieved from http://apps.who.int/bmi/index.jsp?introPage=intro_3 .html Downloaded from pss.sagepub.com by Cai Xing on February 13, 2014

点击下载完整版文档(PDF)VIP每日下载上限内不扣除下载券和下载次数;
按次数下载不扣除下载券;
24小时内重复下载只扣除一次;
顺序:VIP每日次数-->可用次数-->下载券;
已到末页,全文结束
相关文档

关于我们|帮助中心|下载说明|相关软件|意见反馈|联系我们

Copyright © 2008-现在 cucdc.com 高等教育资讯网 版权所有