Weight Perception, Satisfaction, Control, and Low Energy Dietary Reporting in the US Adult Population: Results from the National Health and Nutrition Examination Survey 2007-2012

Satisfaction Paradoxes in Health Behaviors: Contrasting Patterns across Weight, Physical Activity and Dietary Habits

(1) Background: Obesity, a poor diet, and inactivity are major health issues among Saudi youth. However, satisfaction with unhealthy lifestyles could impede change. This study assessed lifestyle factors and related satisfaction among Saudi university students. (2) Methods: In this cross-sectional study, 1957 students at Jazan University completed surveys on demographics, physical activity, dietary habits, and 10-point satisfaction scales for weight, activity, and diet. Chi-squared tests and logistic regression were used to analyze the associations between behaviors and satisfaction. (3) Results: Overweight/obesity prevalence was 25.45%, and only 26.67% of the subjects met activity guidelines. Many of them exhibited poor dietary habits. Despite unhealthy behaviors, some expressed high satisfaction, especially regarding their diets. Subjects with a normal BMI had the highest weight satisfaction. Activity satisfaction increased with higher activity levels. Dietary satisfaction was minimally impacted by healthfulness. Males and higher incomes were correlated with greater satisfaction. (4) Conclusions: A concerning paradox exists between unhealthy lifestyles and satisfaction among Saudi university students, particularly regarding their diets. Multicomponent interventions informed by behavior change theories and employing motivational techniques are urgently needed to address this disconnect and facilitate positive behavior change.

Associations Between Body Weight Dissatisfaction and Diet Quality in Women With a Body Mass Index in the Healthy Weight Category: Results From the 2014-2015 Swiss National Nutrition Survey

BACKGROUND

Few studies have examined whether diet quality is lower in women with body weight dissatisfaction compared with women without body weight dissatisfaction.

OBJECTIVES

(1) Examine the association between body weight dissatisfaction and diet quality among women (18-65 years old) in the healthy weight body mass index (BMI) category, and (2) explore dietary and behavioral patterns among women with body weight dissatisfaction.

DESIGN

Data were extracted from the cross-sectional 2014-2015 Swiss National Nutrition Survey.

PARTICIPANTS/SETTING

Population-based sample of 507 women with BMI ≥ 18.5 and < 25.

OUTCOME MEASURES

Dietary intakes assessed by registered dietitians using 2 nonconsecutive computer-assisted multi-pass 24-hour dietary recalls. Diet quality was measured with a slightly modified version of the Healthy Eating Index (HEI)-2020.

STATISTICAL ANALYSES PERFORMED

Multiple linear regressions were performed to test the association between body weight dissatisfaction and total HEI-2020 score. Hierarchical cluster analysis was used to identify subgroups of women with body weight dissatisfaction.

RESULTS

Body weight dissatisfaction was not found to be associated with diet quality (β = -1.73 [-4.18; 0.71], P = .16). However, women who were dissatisfied with their body weight had lower scores for the HEI-2020 total fruits (P = .050) and whole grains (P = .014) components than women who were satisfied with their body weight. Four profiles with different dietary patterns were identified among women with body weight dissatisfaction: "Unhealthy diet with dairy," "Protein and fat," "Vegetables without protein," and "Healthier diet without dairy."

CONCLUSIONS

Among women with a BMI in the healthy weight category, overall diet quality was not observed to differ between those with or without body weight dissatisfaction. More research is needed to explore the different profiles of dietary intake in women with body weight dissatisfaction.

The Impact of Weight Bias and Stigma on the 24 h Dietary Recall Process in Adults with Overweight and Obesity: A Pilot Study

People with overweight and obesity tend to both underreport dietary energy intake and experience weight stigma. This exploratory pilot study aimed to determine the relationship between weight bias and weight stigma and energy intake reporting accuracy. Thirty-nine weight-stable adults with BMI ≥ 25 completed three 24 h dietary recalls; indirect calorimetry to measure resting metabolic rate; a survey measuring weight stigma, psychosocial constructs, and physical activity; and a semi-structured qualitative interview. Multiple linear regression was used to determine if weight bias internalization, weight bias toward others, and experiences of weight stigma were predictive of the accuracy of energy reporting. A thematic analysis was conducted for the qualitative interviews. Weight stigma was reported by 64.1% of the sample. Weight stigma constructs did not predict the accuracy of energy intake reporting. People with obesity underreported by a mean of 477 kcals (p = 0.02). People classified as overweight overreported by a mean of 144 kcals, but this was not significant (p = 0.18). Participants reported a desire to report accurate data despite concerns about reporting socially undesirable foods. Future research should quantify the impact of weight stigma on energy reporting in 24 h recalls using a larger, more diverse sample size and objective measures like doubly labeled water for validation.

Weight-Control Behaviors and Dietary Intake in Chinese Adults: An Analysis of Three National Surveys (2002–2015)

Weight control through dietary management is becoming increasingly common worldwide. This study aimed to evaluate and compare the dietary intake and diet quality between Chinese adults with and without weight-control behaviors. Data were collected from the China National Nutrition Survey 2002, 2012, and 2015. Dietary intake was assessed using a combination of 24 h dietary recall of three consecutive days and a weighing method. Diet quality was calculated based on China healthy diet index (CHDI). A total of 167,355 subjects were included, of which 11,906 (8.0%) adults reported attempting to control weight within the past 12 months. Participants with weight control had lower daily total energy intake, as well as lower percentages of energy from carbohydrates, low-quality carbohydrates, and plant protein, but higher percentages of energy from protein, fat, high-quality carbohydrates, animal protein, saturated fatty acids, and monounsaturated fatty acids than those without weight control. Additionally, the CHDI score in the weight-control group was higher than those without (53.40 vs. 48.79, p < 0.001). Fewer than 40% of participants in both groups met the requirement for all specific food groups. Chinese adults who reported weight-control behaviors had an energy-restricted diet characterized by reduced carbohydrate intake and overall higher diet quality compared with those without dietary-control behaviors. However, both groups had significant room for improvement in meeting dietary recommendations.

Desire to lose weight was associated with the adoption of weight control strategies but not healthier lifestyle behaviours among post-bariatric surgery patients: NHANES 2013-2018

The desire to lose weight is presumably high among patients with severe obesity who have undergone bariatric surgery. The purpose of this study is to examine the associations of desire to lose weight with weight control strategies, depressive symptoms and lifestyle behaviours among post-bariatric surgery patients. Participants were adults who participated in the National Health and Nutrition Examination Survey (2013-2018) and self-identified a history of bariatric surgery. The desire to lose weight, weight control strategies, depressive symptoms, physical activity and sitting time were measured by self-report questionnaires. Dietary information was derived from 24-h dietary recalls. The correlates of the desire to lose weight were examined by logistic or linear regressions with appropriate weighting and variance estimation techniques, adjusting for covariates such as length of time post-surgery. Results showed that at a mean of 7.8 (standard deviation [SD] = 0.5) years post-surgery (N = 142), 88.6% of participants wanted to weigh less. The average total energy intake was 1747 (SD = 72) kcal/day with 36.2% (SD = 0.7%) of the energy from total fat; the median total moderate-intensity physical activity was 88.5 min/week; and the mean sitting time was 796.0 (SD = 47.0) min/day. The desire to lose weight was positively associated with the adoption of healthy weight control strategies (odds ratio 17.4, 95% confidence interval 3.5-87.0, p < .01). No other significant associations were observed. Findings highlight the need for studies to improve patients' lifestyle behaviours post-surgery (e.g., reduce fat intake, increase physical activity) and examine the correlates of desire to lose weight in larger samples.

Improving diet quality over nine-years is associated with less weight gain in mid-age Australian women: A cohort study

BACKGROUND AND AIMS

Most studies measure baseline diet quality exclusively and hence the impact of longitudinal changes in dietary intake in relation to weight change is not considered. Therefore, this study aimed to examine whether change in diet quality over nine-years was associated with weight change over the same period in mid-age Australian women.

METHODS AND RESULTS

Healthy mid-age (45-49 years) women from the Australian Longitudinal study on Women's Health (ALSWH) were eligible a valid total energy intake (TEI) was reported at baseline (n = 2381), determined using Goldberg cut-offs. Diet quality was measured by the Australian Recommended Food Score (ARFS) using data derived from a validated food frequency questionnaire. Multiple linear regressions were used to evaluate relationships between change in diet quality and weight in mid-age women (n = 1999). Women in the highest tertile of ARFS change improved diet quality [mean ± SD] [7 ± 4 points], while those in the lowest [-9 ±5 points] and middle [-1±2 points] tertiles had worse diet quality at follow-up. Overall, mean weight gain was 2.3 ± 7.2 kg over nine years. Those in the highest tertile of ARFS change gained significantly less weight, compared to the lowest tertile; β = -1.2 kg [95% CI: -2.31, -0.11; p = 0.03] after adjustment for changes in confounders and baseline weight, baseline ARFS, and total energy intake.

CONCLUSIONS

Improving diet quality could be an important strategy for promoting modest weight loss and potentially contribute to preventing weight gain in mid-age women, which is important for metabolic health.

Association of body image (dis)satisfaction and perception with food consumption according to the NOVA classification: Pró-Saúde Study

The literature on body image and food consumption has generally focused on isolated food items, while overlooking the growing role of ultra-processed foods in the overall diet. The objective of this study was to assess the association of body image (dis)satisfaction and perception with food consumption, according to the NOVA classification, which takes into account the extent and purpose of industrial food processing. A silhouette scale developed considering the Brazilian adults' Body Mass Index was used to assess body image (dis)satisfaction and perception. Food consumption was evaluated using a Food Frequency Questionnaire, and its items were categorized into three groups: unprocessed or minimally-processed foods and culinary preparations; processed foods; ultra-processed foods. The association was assessed using linear regression models. A total of 514 of Brazilian university employees were evaluated. Women dissatisfied due to excess weight consumed less unprocessed or minimally-processed foods and culinary preparations (-6.6, 95% CI: -10.7; -2.5) and more ultra-processed foods (3.7, 95% CI: 0.1; 7.2) compared to satisfied. Women that overestimated their body size consumed less unprocessed or minimally-processed food and culinary preparations (-4.2, 95% CI: -7.3; -1.1), compared to those who had not distorted body image. Food consumption appears to be more strongly associated with body image (dis)satisfaction than with perception. An association was established between body image dissatisfaction and unhealthy eating habits. This relation deserves public health attention since it may contribute to the development of chronic diseases and reduce the quality of life and body image assessment could be adopted by nutritionists and other health professionals in their practice.

Prevalence and characteristics of energy intake under-reporting among Australian adults in 1995 and 2011 to 2012

AIM

Misreporting of energy intake is a common source of measurement error found in dietary surveys, resulting in biased estimates and a reduction in statistical power. The present study aims to refine the conventional cut-off methods and to examine the extent to which Australian adults misreport their energy intake, and the characteristics of under-reporters between two time points.

METHODS

A revised Goldberg cut-off approach was used to identify those who reported implausible intake amounts in a secondary analysis of two large cross-sectional surveys. Identified low energy reporters were then used as the outcome variable in Poisson regressions to examine association with sex, age, body mass index (BMI), weight perceptions, education, relative household income, geographic remoteness and relative socioeconomic disadvantage.

RESULTS

The prevalence of under-reporting increased from 32% in 1995 to 41% in 2012, most of which can be attributed to an increase in men. Under-reporting has a positive association with BMI and relative socioeconomic disadvantage, but an inverse association with age, education, relative household income and residence in inner regional areas.

CONCLUSIONS

Under-reporting of energy intake is high in Australian adults, and appears have worsened over time in men, which could be partly explained by the upward trend in obesity. The use of conventional Goldberg method to identify under-reporters can greatly underestimate the prevalence of under-reporting, future studies should consider selecting a lower critical value to improve accuracy.

Relationship between Body Image and Body Weight Control in Overweight ≥55-Year-Old Adults: A Systematic Review

Objective: To assess the scientific evidence on the relationship between body image and body weight control in overweight ≥55-year-old adults. Methods: The literature search was conducted on MEDLINE database via PubMed, using terms related to body image, weight control and body composition. Inclusion criteria were scientific papers, written in English or Spanish, made on older adults. Exclusion criteria were eating and psychological disorders, low sample size, cancer, severe diseases, physiological disorders other than metabolic syndrome, and bariatric surgery. Results: Fifty-seven studies were included. Only thirteen were conducted exclusively among ≥55-year-old adults or performed analysis adjusted by age. Overweight perception was related to spontaneous weight management, which usually concerned dieting and exercising. More men than women showed over-perception of body image. Ethnics showed different satisfaction level with body weight. As age increases, conformism with body shape, as well as expectations concerning body weight decrease. Misperception and dissatisfaction with body weight are risk factors for participating in an unhealthy lifestyle and make it harder to follow a healthier lifestyle. Body image disturbance also made it more likely to underreport calorie intake. Conclusions: Aging is associated with a decrease in weight concerns and lower overweight perception, especially in women. However, when designing a program to improve body image in overweight ≥55-year-old adults, three items ought to be considered: physical activity, dietary and behavioral treatments.

Does Effectiveness of Weight Management Programs Depend on the Food Environment?

OBJECTIVE

To estimate the causal effects of a population-scale behavioral weight management program and to determine whether the program's effectiveness depends on participants' geographic access to places to purchase healthy and less healthy foods.

DATA SOURCES

Secondary data from U.S. Department of Veterans Affairs clinical and administrative records (2008-2014), retail food environment measures from commercial databases (2008-2014), and the American Community Survey (2009-2014).

STUDY DESIGN

We estimated the effect of the VA's MOVE! weight management program on body mass index after 6 months using difference-in-difference regressions to compare participants with a propensity score-matched control group. We estimated treatment effects overall and in subgroups with different access to supermarkets, fast-food restaurants, and convenience stores.

PRINCIPAL FINDINGS

MOVE! reduced BMI by about 0.71 units among men and 0.70 units among women. The program was slightly less effective for men living near fast-food restaurants or convenience stores. We found no evidence that treatment effects varied with the food environment among women.

CONCLUSIONS

The residential food environment modestly alters MOVE! effectiveness among men. A greater understanding of environmental barriers to and facilitators of intentional weight loss is needed. This study highlights important potential intersections between health care and the community.

Relationship between body weight perception and weight-related behaviours

Objectives

This study aimed to examine the prevalence of weight misperception and to explore the association of weight perception with physical activity and dietary intake.

Methods

A population-based, nationally representative cross-sectional survey was conducted of 920 Thai adolescents aged 13 to 24 years. Respondents were selected using stratified multistage sampling. Respondents who agreed to participate were asked to complete the Youth Risk Behavior Questionnaire.

Results

Females were more likely than males to misperceive themselves as overweight (21.8% vs. 11.7%), whereas males were more likely than females to misperceive themselves as underweight (12.3% vs. 3.4%). Males were more likely than females to report a high intake of vegetables (45.7% vs. 38.0%), milk (39.1% vs. 38.0%), 100% fruit juice (20.9% vs. 17.7%) and soda or pop (38.5% vs. 20.6%). Males were also more likely than females to report vigorous physical activity of more than 60 minutes per day (38.1% vs. 21.3%) and vigorous exercise to strengthen or tone muscles (37.3% vs. 13.2%).

Conclusions

Gender differences in dietary intake and physical activity were identified. However, there were no significant differences in dietary intake and physical activity between adolescents who correctly perceived themselves as overweight and those who misperceived themselves as overweight.

Perceived weight status and weight change among a U.S. adult sample

OBJECTIVE

Examine bidirectional associations between weight perception and weight change over time among adults.

METHODS

Data are from adult employees (N = 623) across 12 U.S. public high schools participating in a cluster-randomized multilevel weight gain prevention intervention. Data were collected at baseline, 12 months, and 24 months. Perceived weight status (very/somewhat underweight, just right, somewhat overweight, very overweight) were obtained via self-administered surveys. Weight (kg) was measured by trained staff. Change in weight was calculated as the difference between baseline weight and weight at each follow-up time point. Structural equation models were used to assess bidirectional associations of perceived weight status and change in weight over time. Models were adjusted for study condition, gender, age, race/ethnicity, education level, and previous time point.

RESULTS

The sample was 65% female with a mean age of 44.6 (SD = 11.3). Nearly two thirds of the sample consisted of people with overweight (38.8%) or obesity (27.3%). Structural equation models indicated that baseline weight predicted subsequent perceived weight status (β = 0.26; P < 0.001), whereas baseline perceived weight status did not predict subsequent change in weight, adjusting for previous time point and covariates.

CONCLUSIONS

Results do not support bidirectional causality between weight perception and weight change in an adult sample.