Self-Weighing Throughout Adolescence and Young Adulthood: Implications for Well-Being

Compensatory health motivations and behaviors scale: Development, evaluation, psychometric properties and a preliminary validation

The "Compensatory Health Beliefs" scale assesses the degree to which one believes that unhealthy behaviours can be compensated through healthier ones. However, no validated scale to assess compensatory weight-related behaviors exists. The study's objective was to develop (Study 1) and validate (Study 2) a questionnaire measuring compensatory health motivations and behaviors (CHMB) and to assess their associations with body mass index (BMI) and psychological weight-related measures. An initial 34-item measure was constructed based on a target sample's (Study 1, n = 158) suggestions and refined based on expert feedback. The measure was then tested in a representative Canadian adult sample (N = 1400, 48.7% male). The sample was stratified by sex and age and then randomly split into two (N = 701 for exploratory factor analysis; N = 699 for confirmatory factor analysis (CFA) cross-validation). Fit indices, standardized Cronbach's alphas and the associations between the CHMB model with cognitive restraint, weight concerns, and BMI were assessed in multiple linear regression models controlling for age and sex. The final CHMB model (n = 17 items) consisted of four subscales: (1) motivation, (2) use on special occasions, (3) general use, (4) compensatory health beliefs. Fit indices (Goodness of Fit Index = 0.922) and Cronbach's alphas were good (α = 0.88). In multiple linear regression models, all CHMB subscales were associated with greater cognitive restraint in eating. Compensatory behavior use on special occasions was associated with greater weight concern (B = 0.12, p < .0001), while general compensatory behavior use was associated with lower weight concern (B = -0.07, p < .05). None of the subscales were associated with BMI. The validated CHMB scale allows for the assessment of compensatory health motivations and behaviors in a Canadian population. Research on whether this scale can predict weight changes and general health is needed.

Relationships between patterns of weight-related self-monitoring and eating disorder symptomology among undergraduate and graduate students

OBJECTIVE

To characterize patterns of weight-related self-monitoring (WRSM) among US undergraduate and graduate students and examine associations between identified patterns of WRSM and eating disorder symptomology.

METHOD

Undergraduate and graduate students from 12 US colleges and universities (N = 10,010) reported the frequency with which they use WRSM, including self-weighing and dietary self-monitoring. Eating disorder symptomology was assessed using the Eating Disorder Examination Questionnaire. Gender-specific patterns of WRSM were identified using latent class analysis, and logistic regressions were used to identify differences in the odds of eating disorder symptomology across patterns of WRSM.

RESULTS

Among this sample, 32.7% weighed themselves regularly; 44.1% reported knowing the nutrition facts of the foods they ate; 33.6% reported knowing the caloric content of the foods they ate; and 12.8% counted the calories they ate. Among women, four patterns of WRSM were identified: "no WRSM," "all forms of WRSM," "knowing nutrition/calorie facts," and "self-weigh only." Compared with the "no WRSM" pattern, women in all other patterns experienced increased eating disorder symptomology. Among men, three patterns were identified: "no WRSM," "all forms of WRSM," and "knowing nutrition/calorie facts." Only men in the "all forms WRSM" pattern had increased eating disorder symptomatology compared with those in the "no WRSM" pattern.

DISCUSSION

In a large sample of undergraduate and graduate students, engaging in any WRSM was associated with increased eating disorder symptomology among women, particularly for those who engaged in all forms. Among men, engaging in all forms of WRSM was the only pattern associated with higher eating disorder symptomology.

Self-weighing among young adults: who weighs themselves and for whom does weighing affect mood? A cross-sectional study of a population-based sample

BACKGROUND

Self-weighing is widespread among young adults and is sometimes recommended by healthcare providers for weight management. The present study aims to deepen our understanding of who is frequently self-weighing among young adults, and to examine for whom self-weighing impacts mood based on weighing frequency and other eating and weight-related characteristics.

METHODS

Survey data were collected from a large population-based sample of young adults (31.1 ± 1.6y) participating in Project EAT-IV (n = 1719). Cross-sectional data were stratified across sex and analyzed with chi-square, t-tests, and linear and logistic regressions controlling for age, ethnicity/race, education level, and income.

RESULTS

Self-weighing frequency was higher among male and female young adults with a current eating disorder, those trying to lose weight or who endorsed any disordered eating behaviors or cognition, and females with higher BMI. Young adult females were significantly more likely than males to report that self-weighing impacted their mood (53% vs 27%, p < 0.05). Among both male and female young adults, there was a higher probability of participants reporting that self-weighing impacted their mood among those who were self-weighing more frequently, had higher BMI, were trying to lose weight, and endorsed disordered eating behaviors or cognitions.

CONCLUSION

Findings suggest that for many young adults, particularly females and those with weight-related concerns, self-weighing is a behavior that comes with emotional valence. The emotional consequences of self-weighing should be considered when making public health and clinical recommendations regarding the usefulness of self-weighing.

Minority and low-income patients are less likely to have a scale for self-weighing in their home: A survey in primary care

Daily self-weighing is a weight management behaviour that requires a scale; however, scale ownership may be cost-prohibitive for some patients. Our objective was to understand the proportion of primary care patients with a scale at home, and factors associated with home scale access, to potentially inform future interventions that facilitate scale access. Cross sectional survey of 216 adult patients from three primary care clinics: mixed-income urban/suburban (n = 68); mixed-income urban (n = 70); low-income urban (n = 74). The dependent variable was presence of a home scale; bivariate associations were conducted with variables including demographics, insurance type, clinic setting and self-reported height/weight. Mean age was 53 years; 71% women; 71% racial minority; mean body mass index 32 kg/m2 . Overall, 56% had a home scale. Most (79%) white patients owned a scale, compared to 46% of racial minority patients (P < .01); 33% of low-income patients owned scale, compared to over 66% of patients at the clinics serving mixed-income populations (P < .01). Most low-income urban clinic patients do not own a home scale. Because self-weighing is an effective weight-management behaviour, clinicians could consider assessing scale access, and future research should assess the health impact of providing scales to patients with overweight/obesity who desire weight loss or maintenance.

Why young women gain weight: A narrative review of influencing factors and possible solutions

Significant weight gain occurs in women during young adulthood, which increases risk of diseases such as diabetes, cardiovascular disease, and many cancers. This review aims to inform future individually targeted weight gain prevention programmes and summarizes possible targets: key life events, mediators that influence energy intake and physical activity levels, and moderators that could identify groups of women at greatest risk. Life events affecting weight include pregnancy and motherhood, smoking cessation, marriage and cohabiting, attending university, and possibly bereavement. Research has identified successful methods for preventing weight gain associated with pregnancy and motherhood, which could now be used in practice, but evidence is inconclusive for preventing weight gain around other life events. Weight gain is mediated by lack of knowledge and skills around food and nutrition, depression, anxiety, stress, satiety, neural responses, and possibly sleep patterns and premenstrual cravings. A paucity of research exists into altering these to limit weight gain. Moderators include socioeconomic status, genetics, personality traits, and eating styles. More research is required to identify at-risk females and engage them in weight gain prevention. There is a need to address evidence gaps highlighted and implement what is currently known to develop effective strategies to limit weight gain in young women.

Obesity Prevention and Treatment in Primary Care

Despite extensive public health and clinical interventions, obesity rates remain high, and evidence-based preventive strategies are elusive. Many consensus guidelines suggest that providers should screen all children after age 2 years for obesity by measuring height and weight, calculating body mass index (BMI), and sensitively communicating weight status in the context of health to the family at each visit. However, preventive counseling should begin in infancy and focus on healthy feeding, activity, and family lifestyle behaviors. For children with overweight or obesity, the American Academy of Pediatrics outlines 4 stages of treatment: 1) Primary care providers should offer "prevention plus," the use of motivational interviewing to achieve healthy lifestyle modifications in family behaviors or environments; 2) children requiring the next level of obesity treatment, structured weight management, need additional support beyond the primary care provider (such as a dietitian, physical therapist, or mental health counselor) and more structured goal setting with the team, including providers adept at weight management counseling; 3) children with severe obesity and motivated families may benefit from referral to a comprehensive multidisciplinary intervention, such as an obesity treatment clinic; and 4) tertiary care interventions are provided in a multidisciplinary pediatric obesity treatment clinic with standard clinical protocols for evaluation of interventions, including medications and surgery. Although it is certainly a challenge for providers to fit in all the desired prevention and treatment counseling during preventive health visits, by beginning to provide anticipatory guidance at birth, providers can respond to parents' questions, add to parents' knowledge base, and partner with parents and children and adolescents to help them grow up healthy. This is especially important in an increasingly toxic food environment with numerous incentives and messages to eat unhealthfully, barriers to appropriate physical activity, and concomitant stigma about obesity. Focusing on key nutrition and physical activity habits and establishing these healthy behaviors at an early age will allow children to develop a healthy growth trajectory. However, much more work is needed to determine the best evidence-based practices for providers to counsel families on improving target behaviors, environmental modifications, and parenting skills and to decrease abundant disparities in obesity prevalence and treatment.

Trends in Adolescent Overweight Perception and Its Association With Psychosomatic Health 2002-2014: Evidence From 33 Countries

PURPOSE

Perceiving oneself as overweight is common and strongly associated with adolescents' subjective well-being. The prevalence of overweight perceptions and their impact on well-being may have increased over the past decade due to an increase in the salience of weight-related issues. This study examines trends (2002-2014) in the prevalence of adolescent overweight perceptions and their association with psychosomatic complaints.

METHODS

Data from 15-year-old adolescents were obtained between 2002 and 2014 in four rounds of the Health Behaviour in School-aged Children study in 33 countries in Europe and North America (N = 187,511). Design-adjusted logistic regressions were used to quantify changes in overweight perceptions over time. Linear modeling was used to assess change in the association between perceived overweight and self-reported psychosomatic complaint burden, adjusting for overweight status.

RESULTS

Among boys, 10 of 33 countries saw an increase in overweight perceptions between 2002 and 2014, with Russia, Estonia, and Latvia showing the most pronounced year-on-year increases. Only England, France, Germany, and Norway saw an increase in the positive association between overweight perceptions and psychosomatic complaints among boys. Among girls, most countries (28/33) saw no change in the prevalence of overweight perceptions, with the prevalence over 40% in most nations. However, in 12 countries, the association between overweight perceptions and psychosomatic complaints increased among girls, with particularly strong changes seen in Scotland and Norway.

CONCLUSIONS

Evidence is presented which suggests that for adolescent girls in 12 Northern and Western European countries and for boys in four perceiving oneself as overweight may be increasingly deleterious for psychosomatic health.

Qualitative analysis of the role of self-weighing as a strategy of weight control for weight-loss maintainers in comparison with a normal, stable weight group

Self-weighing seems to have a primary role in weight-loss maintenance. The use of this strategy may help correct even slight weight regain and contribute to long-term weight stability. However, self-weighing has also been associated with negative psychological health consequences in specific subgroups. This study aimed to explore the use and the behavioral and psychological consequences of self-weighing in a group of weight-loss maintainers (WLoMs). We chose a qualitative design to conduct this investigation. Eighteen WLoMs were interviewed and compared to a matched comparison group of 18 participants with a lifelong normal stable weight (NSW). Analyses showed that most WLoMs needed regular self-weighing to be aware of their weight. The weight displayed on the scale helped WLoMs sustain the continuous efforts needed to maintain weight loss and also at times triggered corrective actions that were sometimes drastic. Weight changes generated both negative and positive affect among WLoMs, who could experience anxiety because of self-weighing or have their self-esteem impaired in the case of weight gain. In comparison, the NSW group rarely used self-weighing. They relied on a conscious way of living to control their weight and needed fewer strategies. NSW participants simply went back to their routine when they felt a slight increase in their weight, without experiencing consequences on their mood or self-esteem. Regular self-weighing as a component of weight-loss maintenance should be encouraged to help WLoMs regulate their food and physical activity, provided that potential consequences on psychological well-being, including self-esteem, are screened and addressed when needed.

What is the psychological impact of self-weighing? A meta-analysis

Many people self-weigh and many interventions addressing weight-related problems such as obesity promote self-weighing. However, while self-weighing has been associated with weight loss, there is mixed evidence regarding the psychological impact of this behaviour. The present review aimed to quantify the relationship between self-weighing and: (i) affect (e.g., anxiety, depression); (ii) psychological functioning (e.g., self-esteem); (iii) body-related attitudes and (iv) disordered eating. A computerized search of scientific databases in September 2014 and subsequent ancestry and citation searches identified 29 independent tests of the relationship between self-weighing on psychological outcomes. Meta-analysis was used to quantify the size of the association across the tests. Results indicated that there was no association between self-weighing and affect, body-related attitudes or disordered eating. There was, however, a small-sized negative association between self-weighing and psychological functioning. The age of participants, obesity status, the extent of weight loss, duration of self-weighing and study design (RCT versus correlational) were found to influence at least some of the psychological outcomes of self-weighing. The findings suggest that, for the most part, self-weighing is not associated with adverse psychological outcomes. However, in some cases the association between self-weighing and psychological outcomes may be more negative than in others.