Jane Ellen Smith’s research while affiliated with University of New Mexico and other places

Although positive body image is associated with mental and physical health benefits, there is a relative dearth of research investigating the psychometric properties of commonly used measures of positive body image among Hispanic/Latina women in the United States. The current study explored the psychometric properties of the Body Appreciation Scale-2 (BAS-2; Tylka & Wood-Barcalow, 2015a) and the Functionality Appreciation Scale (FAS; Alleva et al., 2017) in undergraduate women. Altogether 565 undergraduates (n = 386 Hispanic/Latina; n = 179 non-Hispanic White [NHW]) completed the BAS-2, FAS, and demographic questionnaires. Confirmatory factor analysis (CFA) and measurement invariance testing across ethnicity was conducted on each measure. The CFA confirmed the 1-factor, 10-item model of the BAS-2 among Hispanic/Latina women but indicated a less than adequate model fit for the FAS which improved after correlating the residuals of items 6 and 7. Measurement invariance testing revealed evidence of partial scalar invariance of the BAS-2 and full invariance of the FAS across ethnicity. There were no significant mean differences between groups on the measures. These analyses indicate acceptable psychometric properties of the BAS-2 and FAS among Hispanic/Latina women. Nonetheless, they did suggest potentially meaningful group differences in how these items behaved, which warrant further exploration.

Background: Intuitive eating, which involves following internal cues of hunger and satiety to guide eating choices, would be better understood if studied at the individual momentary level instead of globally or cross-sectionally. The current study employed ecological momentary assessment (EMA) to examine the ecological validity of a popular intuitive eating measure, the Intuitive Eating Scale (IES-2). Method: College males and females completed a baseline assessment of trait levels of intuitive eating as measured by the IES-2. Participants then followed a seven-day EMA protocol where they completed brief smart phone assessments about intuitive eating and related constructs while in their natural daily environments. Participants were asked to complete recordings before and after eating about their state level of intuitive eating at that moment. Results: Among 104 participants, 87.5% were female, mean age was 24.3, and mean BMI was 26.3. Baseline trait level intuitive eating was significantly correlated with state level intuitive eating reported across EMA recordings, with some evidence suggesting that correlations were stronger before eating compared to after eating. Intuitive eating generally was related to less negative affect, fewer eating restrictions, and more anticipated taste enjoyment before eating, as well as less guilt and regret after eating. Discussion: Individuals who reported high trait levels of intuitive eating also reported following their internal cues for hunger and satiety and had less guilt, regret, and negative affect surrounding eating in their naturalistic environments, thereby supporting the ecological validity of the IES-2.

Background: Intuitive eating involves following internal cues of hunger and satiety to guide eating choices as opposed to responding to external signals, strong emotions, or dietary rules. This style of eating has consistently been shown to be related to better physical and psychological health indicators, and more interventions are being designed and studied to promote this eating style. The current study aimed to identify anticipated facilitators and barriers to following this style of eating among a group of college students enrolled in a larger study of intuitive eating. Method: Following a week of tracking their current eating as part of a larger study, college students read a description of intuitive eating. They then answered three open-ended questions about following intuitive eating including facilitators, barriers, and perceived ability to follow long term. Responses were coded using thematic analysis to identify themes across responses. Results: Among 100 participants, 86 % were female, 46 % were Hispanic (41 % non-Hispanic White, 13 % other race/ethnicity), mean age was 24.3 years, and mean body mass index was 26.2. The most commonly anticipated participant-reported facilitators of intuitive eating were being in touch with the body's needs and hunger cues, positive perceptions of intuitive eating, and health considerations. The most commonly anticipated barriers were logistical constraints (e.g., busyness and mealtimes), difficulty with hunger cues and reactions to food, and negative perceptions of intuitive eating. The majority of participants (64 %) would consider following this style of eating long term. Discussion: This study provides information that can be used to improve efforts aimed at promoting intuitive eating to college students, including marketing intuitive eating interventions, and clarifying misunderstandings of its key tenets that might serve as barriers.

Many college women make self-disparaging comments about their appearance to others. This "fat talk" (negative body talk) is a causal risk factor for body image disturbance, which in turn predicts eating disorders and depression. Research is needed to identify effective responses to negative body talk; namely, those that reduce negative body talk without shaming its initiator or damaging the relationship. The current study examined the impact of different responses to negative body talk on the likelihood of future negative body talk and on individual and relationship factors. College women (N = 160) recalled a situation using negative body talk with a female friend. Participants listened to audio recordings of four responses (Deny/Reassure, Challenge, Empathize/Reciprocate, Ignore) and rated appearance satisfaction, shame, friendship support, and likelihood of future negative body talk after each. Linear mixed models indicated that the Deny/Reassure response followed closely by the Challenge response were most beneficial for individual and relationship factors; however, participants reported being least likely to use future negative body talk after the Ignore response. Recommendations for developing promising responses to negative body talk include combining responses to balance validation (Deny/Reassure) and change (Challenge), and studying the contribution of other relationships and varying body dissatisfaction levels.

Hedonic hunger refers to food consumption for pleasure without biological energy deficits. The Power of Food Scale (PFS) is a well-developed self-report instrument assessing hedonic hunger. The present study aimed to translate and validate the PFS into simplified Chinese (C-PFS) and examine its psychometric properties among Chinese adults. A total of 773 participants (51.1 % men, M age = 24.98 years, SD = 6.10) were recruited in the present study from college and community populations. Consistent with the previous studies, confirmatory factor analysis showed that the C-PFS had three factors: food present, food available, and food tasted. In addition, a Cronbach's alpha of 0.92 and an ICC of 0.86 suggested that the C-PFS has good internal consistency and test-retest reliability. In terms of convergent validity, the scores of C-PFS correlated significantly with disordered eating symptomatology and loss of control over eating. Measurement invariance tests showed that the C-PFS was invariant across gender and sample source groups in the Chinese sample. In addition, a U.S. sample of 490 college students (26.6 % men, M age = 21.41 years, SD = 5.45) was used to test the measurement invariance across countries, and results suggested a partial invariance across college students from China and those from the U.S. In conclusion, the C-PFS can be a useful tool for measuring hedonic hunger among adults in China, and there may be cultural differences in the measurement of the PFS in college students across China and the U.S.

Despite considerable examination of the Children’s Eating Attitudes Test (ChEAT) in Western societies, there is no study about the ChEAT in Iran. The purpose of the current study was to translate and examine the factor structure and measurement invariance of the Farsi version of the ChEAT (F-ChEAT) among Iranian preadolescents. Iranian preadolescents (N = 717) completed the F-ChEAT and demographic information. Exploratory structural equation modeling (ESEM) was used to examine the factor structure and measurement invariance across gender and age. A 5-factor, 15-item ESEM model showed an excellent fit of the data. Tests of measurement invariance suggested that scores on the latent means could be meaningfully compared across gender and age. Girls had higher latent means on the Food Preoccupation and Caloric Awareness and Control factors, and older preadolescents had higher latent means on all the F-ChEAT factors, except for the Dieting factor. Findings suggest that a 5-factor, 15-item ESEM model of the F-ChEAT was a useful assessment tool to understand disordered eating symptoms in Iranian preadolescents.

This chapter discussed the theoretical, preclinical, and clinical accumulation of evidence with respect to the underlying behavioral mechanisms employed in Community Reinforcement Approach (CRA) and its novel variants as exemplars of first wave behavior therapy for substance use problems. This ‘family’ of CRA [i.e. Adolescent version of Community Reinforcement Approach (ACRA) & Community Reinforcement and Family Training (CRAFT)] targets specific populations with various substance use disorders, including comorbid psychiatric conditions and/or patients that reside in the (juvenile) justice system. Also the surplus value in term of therapeutic efficacy of the combination of CRA and contingency management (CM), another notable exemplar of first wave behavior therapy for those with substance use problems, has been highlighted in this chapter. The ‘family’ of CRA is applied to individuals with a wide range of ethnic populations and different age groups such as adults (CRA) and adolescents (A-CRA), but also targets family members (CRAFT). Since this comprehensive and complementary treatment package does not exclusively reduce substance abuse but also addresses psychiatric and forensic problems, it has certainly transdiagnostic value. That said, it has shown efficacy in both in- and outpatient facilities and outreach teams and the dissemination of the ‘family’ of CRA is moving forward in many places throughout the world.

Objective American Indian/Alaska Native (AI/AN) people have historically been excluded from eating disorder research. Consequently, not much is known about the validity of eating disorder assessment measures in this group. The purpose of the current study was to examine the factor structure of a short measure for eating pathology, the seven-item Eating Disorder Examination Questionnaire (EDE-Q7), in AI/AN undergraduate women. Exploratory analyses examined the measurement invariance of the EDE-Q7 across AI/AN, White, and Latinx undergraduates.MethodsA sample of 150 AI/AN undergraduate women completed the full EDE-Q (28 items) as part of two larger studies. The seven items comprising the EDE-Q7 were selected from the full measure to test the factor structure. Random samples of White and Latinx women of equal sample size were chosen from the larger studies to test measurement invariance.ResultsConfirmatory factor analyses found support for the EDE-Q7 factor structure in AI/AN undergraduate women, and scores were strongly positively correlated with the original EDE-Q global scale and disordered eating behaviors. Exploratory analyses found support for the measurement invariance of the EDE-Q7 across AI/AN, White, and Latinx women. One-way ANOVAs showed no significant racial and ethnic differences on the EDE-Q7.DiscussionThe current study found psychometric support for the EDE-Q7 in AI/AN undergraduate women and provided preliminary evidence that the EDE-Q7 can be meaningfully compared across AI/AN, White, and Latinx undergraduate women. Further research should continue to investigate the EDE-Q7 and other eating disorder measures in AI/AN and other historically excluded groups.Level of evidenceV, cross-sectional descriptive study.

Purpose Research suggests that food’s nutritional content and the feelings and behaviors associated with eating contribute to overall health, yet these constructs are rarely considered simultaneously. The current cross-sectional study investigated healthy eating profiles in college women that included both nutritional quality and intuitive eating (IE), with IE being an eating style that prioritizes physiological hunger/satiety cues and minimizes dieting and emotional eating. Design/Setting/Subjects Undergraduate women (n = 352) completed an online assessment and daily diaries (80% retention). Measures Nutritionally healthy eating, IE, dieting, body dissatisfaction, disordered eating, and psychological health were examined. Analysis Latent profile analysis explored patterns of nutritionally healthy eating and IE, and determined how these patterns related to psychological and disordered eating outcomes. Results A four-profile solution emerged: 1) Dieting (high nutritionally healthy eating + intermediate IE), 2) Unhealthy Eating (low nutritionally healthy eating + low IE), 3) Intuitive Eating (moderately high nutritionally healthy eating + high IE), and 4) Non-Dieting (low nutritionally healthy eating + intermediate IE). These profiles significantly differed from one another, such that the Intuitive Eating and Non-Dieting profiles reported lower psychological distress, body mass index, and disordered eating compared to other profiles, while the Dieting and Unhealthy Eating profiles showed the healthiest and poorest nutritional eating, respectively. Conclusion These findings suggest that IE and nutritionally healthy eating are distinct factors in conceptualizing the eating patterns of college women, and both should be considered when developing interventions. Future research should replicate these findings in larger/more diverse samples and examine eating profiles longitudinally.

Objective This study examined the factor validity of health risk behaviors and resilience indicators and their covariation across a large racially/ethnically diverse adolescent population. Design The study subsample (47% Hispanic, 31% White Non-Hispanic, 17% American Indian) was derived from the 2013 New Mexico Youth Risk Resilience Survey (YRRS; N-19,033). We conducted a confirmatory factor analysis on the 6 health risk domains identified by the CDC as contributing most to adolescent morbidity/mortality: (1) cigarette use, (2) alcohol and other illicit drug use, (3) marijuana use, (4) sexual activity, (5) nutrition habits, and (6) physical activity. Results A 4-factor CFA model of adolescent health risk behaviors was replicated, and a hypothesized 6-factor structure based on behaviors that contribute most to adolescent morbidity/mortality was confirmed. The pattern of covarying risk behaviors differed by Hispanic, Native American, and Non-Hispanic White groups. We also confirmed a single external resilience-interference factor (decreased parental support, low school/community engagement, negative peer associations) that positively correlated with all six risk behaviors. Conclusion This study described the structure of adolescent health risk behaviors within a context of psychosocial resilience for American Indian and Hispanic adolescents in contrast to Non-Hispanic White adolescents. Our findings provided evidence for the construct validity of six health-risk behavior dimensions within a large racially/ethnically diverse adolescent sample, which reveal different patterns of loadings, degrees of model fit, and factor inter-correlations across the three racial/ethnic groups. Patterns of covarying risk behaviors differed in strength and direction by racial/ethnic group. Results suggest that interventions should target multiple behaviors and be tailored for different racial/ethnic groups. Targeting health risk and resilience indicators supports the use of multi-level health interventions at the individual, school, family, and community level by identifying individuals based on external resilience scores.