Food Addiction and Lifestyle Habits among University Students

How Sugar Labeling Affects Consumer Sugar Reduction: A Case of Sucrose Grade Labels in China

The effectiveness of sugar labeling depends not only on direct sugar reduction but also on the extent to which compensatory eating occurs. This study focuses on the use of sucrose grade labels in the Chinese market to investigate not only consumers' willingness to pay (WTP) for different sucrose labels but also the consistency of their sugar control behavior when confronted with unlabeled processed foods. The findings reveal that consumers are willing to pay approximately 4%, 7%, and 7% more for yogurt labeled as "low sucrose", "no sucrose", and "no sucrose with sugar substitutes", respectively, compared to yogurt labeled as "regular sucrose." Furthermore, when subsequently presented with unlabeled toast, a significant proportion of consumers who initially chose "no sucrose" yogurt continued to select wholewheat toast, which contains less sugar than white and coconut toast. This indicates their commitment to maintaining their sugar control behavior. The study provides valuable experimental evidence for researchers, food manufacturers, and policymakers regarding the efficacy of sucrose grade labels. In particular, it offers policymakers insights into guiding consumers to promote sustainable healthy diets.

The effectiveness of the TRACE online nutrition intervention in improving dietary intake, sleep quality and physical activity levels for Australian adults with food addiction: a randomised controlled trial

BACKGROUND

Few interventions for food addiction (FA) report on dietary intake variables. The present study comprised a three-arm randomised controlled trial in adults with symptoms of FA. The aim was to evaluate dietary intake, sleep and physical activity resulting from a dietitian-led telehealth intervention at 3 months.

METHODS

Adults with ≥3 symptoms of FA and a body mass index > 18.5 kg/m2 were recruited. Dietary intake including energy, nutrients and diet quality were assessed by a validated food frequency questionnaire in addition to sleep quality and physical activity (total min) and compared between groups and over time. Personalised dietary goals set by participants were examined to determine whether improvements in percent energy from core and non-core foods were reported.

RESULTS

The active intervention group was superior compared to the passive intervention and control groups for improvements in percent energy from core (6.4%/day [95% confidence interval (CI) -0.0 to 12.9], p = 0.049), non-core foods (-6.4%/day [95% CI -12.9 to 0.0], p = 0.049), sweetened drinks (-1.7%/day [95% CI -2.9 to -0.4], p = 0.013), takeaway foods (-2.3%/day [95% CI -4.5 to -0.1], p = 0.045) and sodium (-478 mg/day [95% CI -765 to -191 mg], p = 0.001).

CONCLUSIONS

A dietitian-led telehealth intervention for Australian adults with FA found significant improvements in dietary intake variables. Setting personalised goals around nutrition and eating behaviours was beneficial for lifestyle change.

The Association between Grazing and Food Addiction: The Italian Version of the Repetitive Eating Questionnaire (Rep(Eat)-Q) and Its Relationships with Food Addiction Criteria

BACKGROUND

Among the dysfunctional eating behaviors associated with excessive food intake, a construct that is gaining increasing attention is grazing-the constant, continuous, compulsive, and repetitive consumption of small/moderate amounts of food. Furthermore, in some cases, grazing seems to indicate a dependence on food and/or eating. Currently, the Repetitive Eating Questionnaire (Rep(Eat)-Q) appears to be the only questionnaire that comprehensively measures grazing, including its repetitive and compulsive eating component. Therefore, in a sample of individuals with severe obesity, the objective of this study was twofold: (A) to evaluate the psychometric properties of the Italian version of the Rep(Eat)-Q, and (B) to analyze the association between grazing and food addiction (FA).

METHOD

A cross-sectional research design was used. A total of 402 inpatients with severe obesity (BMI > 35) were recruited. Participants underwent a series of questionnaires to investigate structural validity and convergent validity and association with FA criteria.

RESULTS

The factorial structure of the Rep(Eat)-Q is robust and showed fit indexes: CFI = 0.973; RMSEA = 0.074; 90%CI [0.056-0.091]; and SRMR = 0.029. Also, it exhibited good internal consistency and convergent validity. Furthermore, logistic regression analysis highlights a specific association between certain FA criteria and grazing.

CONCLUSIONS

The Rep(Eat)-Q can be considered to be a concise, robust, reliable, and statistically sound tool to assess repetitive eating, specifically grazing. Its strong psychometric properties offer significant advantages for both research and clinical applications. Furthermore, in a sample of individuals with severe obesity, the results suggest that individuals with problematic grazing exhibit a typical behavioral profile of subjects with FA, indicating that FA can manifest through problematic grazing as well.

Co-occurrence of habit-forming risk behaviors and their socio-demographic, health status and lifestyle determinants: a population-based cross-sectional study

BACKGROUND

Although habit-forming risk behaviors frequently co-occur, determinants of concurrent risk behaviors have rarely been investigated. The aim of the present study was to investigate socio-demographic, health status, and lifestyle determinants of single versus concurrent risk behaviors in general-population adults.

METHODS

We analyzed data from 32,622 participants (74.5% female; mean age = 57.9 ± 14.2 years) of the NutriNet-Santé cohort who completed the Alcohol Use Disorders Identification Test, the 12-item Cigarette Dependence Scale, the modified Yale Food Addiction Scale 2.0, and the Internet Addiction Test in 2021-2022. Using established cutoffs, participants were first split into 2 groups (presence versus absence) for each risk variable (alcohol use disorders, nicotine dependence, food addiction, Internet addiction) and were then divided into 3 groups (no risk behavior, 1 risk behavior (reference), and ≥ 2 risk behaviors). The association between socio-demographic, health status, and lifestyle exposures and individual/concurrent risk behaviors were investigated with polytomous logistic regression.

RESULTS

Younger age (Odds Ratio (OR) = 2.04; 95% Confidence Interval (CI: 1.62-2.56), current financial difficulties (OR = 1.29; CI: 1.08-1.54), self-perceived poor health (OR = 1.70; CI: 1.32-2.20), overall poor dietary quality (OR = 2.88; CI: 2.06-4.02), being underweight (OR = 1.46; CI: 1.05-2.04), having obesity (OR = 1.62; CI: 1.31-1.99), lack of affection during childhood (OR = 1.41; CI: 1.18-1.69), and a lifetime prevalence or medication use for a mental disorder (OR = 1.46; CI: 1.24-1.73) were positively associated with having ≥ 2 versus 1 risk behavior (all p < 0.05). The comparison of none versus 1 risk behavior revealed the same determinants in addition to having a higher education, being physically active at work, and being overweight.

CONCLUSIONS

We investigated determinants of concurrent habit-forming risk behaviors among adults in a large, population-based study. The findings could serve as impetus for future research in this domain and ultimately help guide addiction prevention efforts.

Development and validation of a risk prediction model for arthritis in community-dwelling middle-aged and older adults in China

Background

Considering its high prevalence, estimating the risk of arthritis in middle-aged and older Chinese adults is of particular interest. This study was conducted to develop a risk prediction model for arthritis in community-dwelling middle-aged and older adults in China.

Methods

Our study included a total of 9599 participants utilising data from the China Health and Retirement Longitudinal Study (CHARLS). Participants were randomly assigned to training and validation groups at a 7:3 ratio. Univariate and multivariate binary logistic regression analyses were used to identify the potential predictors of arthritis. Based on the results of the multivariate binary logistic regression, a nomogram was constructed, and its predictive performance was evaluated using the receiver operating characteristic (ROC) curve. The accuracy and discrimination ability were assessed using calibration curve analysis, while decision curve analysis (DCA) was performed to evaluate the net clinical benefit rate.

Results

A total of 9599 participants were included in the study, of which 6716 and 2883 were assigned to the training and validation groups, respectively. A nomogram was constructed to include age, hypertension, heart diseases, gender, sleep time, body mass index (BMI), residence address, the parts of joint pain, and trouble with body pains. The results of the ROC curve suggested that the prediction model had a moderate discrimination ability (AUC >0.7). The calibration curve of the prediction model demonstrated a good predictive accuracy. The DCA curves revealed a favourable net benefit for the prediction model.

Conclusions

The predictive model demonstrated good discrimination, calibration, and clinical validity, and can help community physicians and clinicians to preliminarily assess the risk of arthritis in middle-aged and older community-dwelling adults.

Factors increasing the risk for food addiction in Ecuadorian students

Background

Food addiction (FA) is a construct that has gained interest in recent years, but its relevance in the Ecuadorian population has not yet been explored. The aims of this study were to explore the differences in the psychological profile (including FA) between university students from Ecuador and to identify the underlying structure of the relationships of the FA severity level through a mediational model.

Methods

The sample consisted of 972 university students, women and men (mean age: 20.1 years old, SD = 2.6), recruited from four Ecuadorian regions. The assessment tools included a unidimensional scale of FA, eating-related measures, emotion regulation state, impulsivity, and psychopathology state. Path analysis modeled the direct and indirect effects explaining the FA severity level.

Results

The results indicated that higher psychopathological levels were associated with FA. Similarly, no differences in FA were observed between the Ecuadorian regions. The path analysis suggested that older age, female sex, and higher difficulties in emotional regulation, impulsivity, negative mood, and anxiety trigger disordered eating; subsequently, more impaired eating behavior impacted the FA level.

Conclusion

FA is a complex clinical entity that includes multiple components related to eating disorders (EDs) and other mental health problems. The results of this study provide empirical knowledge for designing evidence-based prevention and treatment strategies.

Association between niacin intake and depression: A nationwide cross-sectional study

BACKGROUND

The association between dietary intake and depression is receiving increasing attention. However, the relationship between depressive symptoms and niacin intake is still unclear. The purpose of this study was to explore the association between niacin intake and depressive symptoms.

METHODS

We used univariate analysis and multivariate logistic regression equations to explore the association between covariates or niacin intake and depression. Generalized additive models and smoothing fitted curves were used to examine the presence of nonlinear relationships. Upon finding a nonlinear relationship, a recursive algorithm was used to calculate the inflection point . Population differences were also explored through stratified analysis.

RESULTS

In the model adjusted for all covariates，the ORs (95 % CI) for the association between niacin intake and depression were 0.94 (0.87, 1.01), which was no statistical significance. However, the result of the linear trend test with quartiles of niacin intake indicated the association between niacin intake and depression may be U-shaped. The generalized additive model confirmed this U-shaped relationship, finding an inflection point (26.6 mg/d). An opposite relationship was observed before and after the inflection point, with ORs (95 % CI) of 0.77 (0.68, 0.87) before the inflection point and 1.13 (1.01, 1.28) after the inflection point. The association in men, Mexican American, White, adults aged<40, and BMI <30 was consistent with the overall tendency.

CONCLUSION

We found a U-shaped association between niacin intake and depression in the general American population, and the same association was observed in men, Mexican American, White, adults aged < 40, and BMI < 30.

Are healthiness and pleasure dimensions perceived similarly by people with food addiction in Brazil? A case study using holistic sensory methodologies

The relationship between the consumption of hyper-palatable ultra-processed foods and the process of addiction gains notoriety due to its relationship with obesity. Food addiction is a complex phenomenon intrinsically related to the individual's behavioral, emotional, and subjective aspects. Therefore, using classical approaches to sensory science may be insufficient to understand better the individual's sensory experience with hyper-palatable foods. In this context, sensory and consumer science techniques with holistic approaches have been aimed at accessing more subjective consumer perceptions. This study used the Yale Food Addiction Scale (YFAS 2.0) to investigate the prevalence of food addiction and the Structured Projective Mapping (S-MP) and Sorting techniques to verify how individuals with and without food addiction perceive and understand different types of food. The prevalence of food addiction was 21.77% (n = 59 out of 271) and was associated with a higher BMI but not with sociodemographic aspects. Projective Mapping (RV = 0.937) and Sorting (RV = 0.934) indicated that perception in relation to attributes such as health and pleasure was similar for all investigated foods in individuals with or without food addiction. The presence of addictive eating behavior does not seem to be related to the way individuals perceive foods from different categories, for example, minimally or highly processed and hyper-palatable foods.

Increased Salivary IL-1 Beta Level Is Associated with Poor Sleep Quality in University Students

Poor sleep quality is a major public health concern for all ages. In particular, university students often face stress levels and changes in social life habits that negatively influence their quality of sleep. This could be associated with psychological well-being in terms of anxiety and depressive symptoms, stress levels, and a poor self-perceived health status. The increases in the pro-inflammatory cytokine interleukin 6 (IL-6), IL-1 beta (IL-1β), and tumor necrosis factor alpha (TNFα), in blood have been linked to poor sleep quality in many diseases, but data on salivary cytokine levels in students are missing or are seldom analyzed. In this study we determined the quality of sleep in a sample of university students and the role of psychological assessment and factors affecting sleep (alcohol intake, tobacco, consumption of stimulant drinks, exercise, and body mass index). We also aimed to shed new light on the associations between sleep quality and salivary inflammatory cytokines (IL-1β, IL-6, and TNFα). Sleep quality was measured with the Athens Insomnia Scale (AIS) and Pittsburgh Sleep Quality Index (PSQI). Perceived stress was assessed using Cohen's Perceived Stress Scale (PSS), and the Goldberg Anxiety and Depression Scale (GADS) was used to assess the level of anxiety or depression. Perceived health status was measured with a visual analogue. Saliva samples was taken in the morning and the inflammatory cytokines was measured via enzyme-linked immunoassay. There was a direct and significant association between the salivary IL-1β concentration and AIS score (r = 0.248; p = 0.038, Pearson correlation) and Pittsburgh scale score (r = 0.274; p = 0.022, Pearson correlation). The relationship between IL-1β and AIS controlling for sex, age, and chronic disease, is still significant (r = 0.260; p = 0.033). The relationship between IL-1β and PSQI controlling for the influence of these variables is also significant (r = 0.279; p = 0.022). Salivary IL-1β concentrations were not significantly associated with any of the scores of the other psychological assessments (PSS, anxiety, depression symptoms, or self-perceived health). Salivary TNFα was significantly and inversely associated with self-perceived health (r = -0.259; p = 0.033, Pearson correlation), but the salivary IL-6 concentration was not associated with any of the sleep quality scale or psychological assessment scores. Our results provide a novel relationship between pro-inflammatory cytokine IL-1β in saliva and poor sleep quality. However, the role of inflammation in poor sleep quality requires further study to identify strategies that could lower inflammation and thus, likely improve sleep quality.

Prevalence of food addiction and its association with lifestyle factors in undergraduate students from Northwest Mexico

Background: The aim of this study was to determine the prevalence of food addiction (FA) in undergraduate students from Northwest Mexico and to examine its association with lifestyle factors, eating behaviors and food consumption.Methods: This cross-sectional study included a total of 326 undergraduate students, both sexes, between 18 and 25 years of age, who were enrolled in a bachelor's degree program at a public or private university in the city of Tijuana, Baja California, Mexico. FA was assessed using the modified Yale Food Addiction Scale Version 2.0 (mYFAS 2.0). Lifestyle (sleep patterns, physical exercise, alcohol intake, and smoking) and nutritional information (eating behaviors and food frequency consumption) was obtained through a clinical history. A multivariate logistic regression model was fitted to assess the factors associated with FA.Results: The whole prevalence of FA was 12.9%. In general, mild FA was the most frequent (5.2%), followed by severe (4.3%) and moderate (3.4%) categories. In the multivariate model, insomnia conferred a higher risk for FA (OR = 2.08, 95% CI, 1.04-4.17, p = 0.040), while the habitual consumption of fruits showed a protective effect (OR = 0.50, 95% CI, 0.25-0.98, p = 0.046). Overall, the model predicted FA in 12% (R2=0.12, p = 0.011).Conclusion: The prevalence of FA is 12.9% among undergraduate students from Northwest Mexico. Although caution should be exercised, insomnia seems to increase the risk of FA, while the habitual consumption of fruits appears to have a protective role. Additional studies are needed to validate these results.

Food Knowledge, Habits, Practices, and Addiction Among Adolescents: A Cross-Sectional Investigation

BACKGROUND

Changing lifestyles and food habits have an impact on both nutrient requirements and intake among adolescents. The aim of this study is to assess the level of knowledge, habits, practices, and the presence of food addiction among adolescents residing in Damanhur City.

METHODS

A descriptive correlational study design is employed to collect data from 363 adolescents selected conveniently from two youth centers in Damanhur, Egypt. Four tools are used: a demographic questionnaire, the Adolescent Food Habits Checklist (AFHC), the General Nutritional Knowledge Assessment Questionnaire (GNKQ), and the Yale Food Addiction Scale version 2.0 (YFAS 2.0).

RESULTS

The age of the participating adolescents ranges from 10 to 19 years. More than half of the participants (51.8%) reported choosing low-fat foods. Additionally, around one-third of the adolescents (34.7%) meet the diagnostic criteria for food addiction. However, there is no statistically significant association found between food addiction and adolescents' eating habits and practices.

CONCLUSION AND RECOMMENDATIONS

Most of the studied adolescents exhibit unhealthy eating practices. Food addiction is identified as a significant health concern among this population. Therefore, it is highly recommended to provide nutritional education for adolescents and their families and implement school-based strategies to promote healthy eating habits.

Early life influences on the development of food addiction in college attending young adults

PURPOSE

There is little investigation into the causes of food addiction. The aim of this study was to determine the impact of early life influences on the development of food addiction in college-attending young adults aged 18-29.

METHODS

This study utilized a sequential explanatory mixed-methods research design. College-attending young adults were invited to complete an online survey measuring Adverse Childhood Experiences (ACEs), food addiction, depression, anxiety, stress, and demographic information. Correlations between food addiction and the other variables were analyzed and significant variables were placed into a nominal logistic regression model to predict the development of food addiction. Participants who met the criteria for food addiction were invited to participate in interviews to examine their childhood eating environment and when their symptoms emerged. Interviews were transcribed and thematically analyzed. Quantitative analysis was conducted using JMP Pro Version 16.0 and qualitative analysis was conducted using NVIVO Software Version 12.0.

RESULTS

Survey respondents (n = 1645) had an overall 21.9% prevalence of food addiction. Significant correlations were observed between food addiction and ACEs, depression, anxiety, stress, and sex (p < .01 for all). Depression was the only significant predictor of the development of food addiction (OR = 3.33 95% CI 2.19, 5.05). The most common eating environment described by interview participants (n = 36) was an emphasis on diet culture, ideal body image, and restrictive environments. Symptoms frequently emerged after transitioning into college and having the ability to make their own food choices.

CONCLUSION

These results show the impact of early life eating environments and young adulthood mental health on the development of food addiction. These findings contribute to the understanding of underlying causes of food addiction.

LEVEL OF EVIDENCE

Level V, Opinions of authorities, based on descriptive studies, narrative reviews, clinical experience, or reports of expert committees.

Diet quality and eating behaviors of college-attending young adults with food addiction

BACKGROUND

College students are heavily influenced by their food environment and are an important population in which to study food addiction. This mixed-methods study aimed to examine diet quality and eating behaviors of college students with food addiction.

METHODS

Students attending a large university in November 2021 were invited to complete an online survey that measured food addiction, eating styles, eating disorder symptoms, diet quality, and anticipated feelings after eating. Kruskal-Wallis H determined differences between those with and without food addiction in mean scores of quantitative variables. Participants who met the symptom threshold for the presence of food addiction were invited to participate in an interview that elicited more information. Quantitative data was analyzed using JMP Pro Version 16.0 and qualitative data was thematically analyzed using NVIVO Pro Software Version 12.0.

RESULTS

Respondents (n = 1645) had a 21.9 % prevalence of food addiction. Individuals with mild food addiction had the highest scores in cognitive restraint. Those with severe food addiction had the highest scores in uncontrolled eating, emotional eating, and eating disorder symptoms. Individuals with food addiction showed significantly higher negative expectancies for healthy and junk food, lower intake of vegetables, higher intakes of added sugars and saturated fat. Interview participants had problems with sweets and carbohydrates most often and described eating until physically ill, eating in response to negative emotions, dissociation while eating, and strong negative feelings after eating.

CONCLUSION

Findings contribute to the understanding of the behaviors, emotions, and perceptions surrounding food by this population, providing potential behaviors and cognitions to target for treatment.

Food Addiction Problems in College Students: The Relationship between Weight-Related Variables, Eating Habits, and Food Choices

The concept of food addiction, characterized by a strong urge to overeat highly palatable foods, has gained increased research attention over the last decade. College students are a recognized risk group for manifesting an eating pathology and weight gain due to the changes in eating habits experienced during this period. However, there is a gap in the literature connecting food addiction with eating and weight variables in this population. Thus, the present study aims to characterize food addiction in a sample of college students and enlighten the relationship between food addiction, weight-variables, eating habits, and food choices in this population. A sample of 194 college students (89.2% females) aged between 18 and 32 years old (M = 20.85, SD = 2.78) completed a set of self-reported online questionnaires on Google Forms. Namely, a Sociodemographic and Anthropometric Questionnaire, a questionnaire on Food Choices Characterization, the Eating Habits Scale, and the Portuguese Yale Food Addiction Scale 2.0. Thirty (22.2%) participants presented food addiction problems. The logistic regression models utilized suggest that participants in the group with food addiction problems are more likely to seek clinical help to control weight, to consider that they should eat less food high in sugar, and to report lower food adequacy. In sum, this finding highlighted a connection between food addiction, weight dissatisfaction, eating habits, and food choices in college students, a population at risk for developing and retaining eating pathologies. Further research is essential to evaluate and implement interventions regarding food addiction, weight dissatisfaction, eating habits, and food choices in college students.

The influencing factors in food addiction of nursing students: A qualitative study

PURPOSE

This study aims to determine the factors that influence food addiction (FA) in female nursing students.

DESIGN AND METHODS

Twenty-four out of 51 (mean age = 19.8 ± 1.36) women were identified from a sample of 645, who met the diagnostic criteria of FA using the Yale Food Addiction Scale (YFAS), and participated in this qualitative study.

FINDINGS

Results of the study revealed that the factors affecting FA in students were conceptualized under four themes: "Social circle," "Situational and emotional signs," "Cognitive process," and "Weight gain and quality of life."

PRACTICE IMPLICATIONS

It is recommended to offer specific intervention programs including personal or group counseling for those, recognized as having FA based on an addiction model, and to have a successful therapy.

Dietary Patterns of Treatment–Resistant Depression Patients

Depression is a common mental disorder that occurs all over the world with treatment resistance commonly seen in clinical practice. Ketamine exhibits an antidepressant that is more often used in the case of treatment-resistant depression (TRD) in MDD and BP. Research emphasizes that a healthy diet and the nutrients it contains can lower the risk of developing depression and form a strategy that supports conventional treatment. The aim of the study was to evaluate the patients’ diet and to analyze the effect of ketamine on food intake among patients with TRD. The study involved 15 patients suffering from treatment-resistant depression and 15 healthy volunteers. The data required for the analysis were collected using the food frequency questionnaire (FFQ) and 4-day food diaries. The study group was statistically significantly less likely to consume milk and plain milk beverages, plain white cheese, wholemeal bread, various vegetables, wine, and drinks. Our results show several disorders in the eating habits of patients with treatment–resistant depression. After the administration of ketamine, the patients consumed significantly less protein, fats, monounsaturated fatty acids (MUFA) and polyunsaturated fatty acids (PUFA), fiber, tryptophan, vitamins, and minerals compared to the control group. There is a lack of research describing the effects of ketamine on nutrition. In order to confirm the results of the study, more participants are required, and the assessment of food diaries filled in at the patient’s home with a longer interval after the last dose of ketamine as well.

Mediating effect of self-control in the relationship between psychological distress and food addiction among college students

Psychological distress is a possible trigger contributing to food addiction, which is characterized by a loss of behavioral control and compulsive food intake. However, little is known about its underlying mechanisms. Self-control, an important self-regulation skill, may mediate the effect of psychological distress on food addiction. A cross-sectional survey was used to explore the direct relationship between psychological distress and food addiction, and the mediating role of self-control in this relationship. Food addiction, psychological distress, and self-control were evaluated using the Chinese versions of the Yale Food Addiction Scale 2.0, Depression-Anxiety-Stress Scale, and Self-control Scale, respectively. Correlation analyses showed that food addiction was positively correlated with psychological distress, but negatively related to self-control. Structural equation modeling revealed the mediating role of self-control in the relationship between food addiction and psychological distress. As a significant predictor of food addiction, psychological distress may induce food addiction directly or indirectly through the effect of self-control. These findings provide a deeper understanding of the relationship between psychological distress and food addiction, and the underlying mechanism. As such, psychological distress and self-control should be included in prevention and intervention strategies to address food addiction among college students.

Body Dissatisfaction and Disordered Eating Behaviors: The Mediation Role of Smartphone Addiction and Depression

This study aimed to determine whether smartphone addiction and depression sequentially mediate the relationship between body dissatisfaction and disordered eating behaviors (e.g., restrained eating, emotional eating and external eating). A total of 5986 participants (54.1% females, average age = 19.8 years, age range = 17–32) completed the Satisfaction and Dissatisfaction with Body Parts Scale, the Three-Factor Eating Questionnaire, the Smartphone Addiction Scale and the Patient Health Questionnaire-9. Mediational analysis showed that, after controlling for age, sex and body mass index, body dissatisfaction was related to disordered eating behaviors through (a) the mediating effect of smartphone addiction, (b) the mediating effect of depression, and (c) the serial mediating effect of smartphone addiction and depression. In conclusion, our study showed for the first time that smartphone addiction and depression can be sequential mediator variables in the association between body dissatisfaction and disordered eating. However, this study is a cross-sectional study; future longitudinal studies could further test the causal associations between these study variables.

Anxiety and Food Addiction in Men and Women: Results From the Longitudinal LIFE-Adult-Study

BACKGROUND

Anxiety is a widespread phenomenon, and it is connected to disordered eating and obesity. We want to analyze the connection between anxiety and food addiction (FA) over two points in time to better understand the directionality of the association. Since there are gender differences with regard to anxiety and eating, we are also interested in differences between men and women.

METHODS

We used data from the population-based LIFE-Adult-Study (N = 1,474) at time 1 (baseline) and time 2 (first follow-up) to analyze the connections between anxiety (GAD-7) and FA (YFAS) using a multiple group latent cross-lagged panel model with female and male participants as groups. We controlled for age, marital status, socioeconomic status and social support.

RESULTS

Anxiety (women: β = 0.50, p ≤ 0.001; men: β = 0.59, p ≤ 0.001) as well as FA (women: β = 0.37, p ≤ 0.001; men: β = 0.58, p ≤ 0.001) exhibited stability over time for both genders. We found a significant association between anxiety at time 1 and FA at time 2 for women (β = 0.25, p ≤ 0.001) but not for men (β = 0.04, p = 0.10), and significant associations between FA at time 1 and anxiety at time 2 for women (β = 0.23, p ≤ 0.001) as well as men (β = 0.21, p ≤ 0.001).

CONCLUSION

Food addiction longitudinally affects anxiety, independent of gender and other sociodemographic variables. In addition, anxiety affects subsequent FA as well, but only in women. Interventions that address FA could reduce anxiety in men and women, while interventions that mitigate anxiety could help prevent FA in women.