Understanding the Influence of Eating Patterns on Binge Drinking: A Mediation Model

Choi

et al. 2021

IJERPH

Recently, there has been a notable rise in binge drinking and in the popularity of eating broadcasts via TV and online platforms, especially in Korea. This study analyzed the moderating effect of the eating broadcast viewing experience on the relationship between binge drinking and obesity-related eating behaviors. Cross-sectional self-reported online survey data were collected from 1125 Korean adults. Moderation models for restrained, emotional, and external eating behaviors were tested using moderation analyses with Hayes’s PROCESS version 3.5 compatible with SPSS. As a result, the eating broadcast viewing experience moderated the relationship between binge drinking frequency and external eating (Fchange = 2.686, p = 0.045). More frequent binge drinking was associated with a higher level of external eating in participants who only watched online eating broadcasts, especially among women. Participants in their twenties showed the same above association; additionally, those who only watched TV eating broadcasts showed an inverse association, indicating that more frequent binge drinking was associated with a lower level of external eating. Consequently, an eating broadcast viewing experience was one of the environmental factors associated with binge drinking that influences obesity-related eating behaviors.

Section: Discussionsupporting

confidence: 86%

Binge Drinking and Obesity-Related Eating: The Moderating Roles of the Eating Broadcast Viewing Experience among Korean Adults

Choi

et al. 2021

IJERPH

“…On the other hand, a recent study demonstrated that binge eating before or during pregnancy is associated with prematurity, macrosomia, and future risk of diabetes and metabolic syndrome in infants as well as with higher gestational weight gain and greater postpartum weight retention in mother [ 55 ]. In addition, some studies demonstrated that it is not only the type of diet (i.e., frequency of fat intake) but also the type of eating behavior (i.e., binge eating) that seems to contribute to explaining binge drinking [ 56 ]. Along the same line, binge eating behaviors may be associated with binge drinking and could be a gateway to the initiation and escalation of binge drinking, resulting in an increased risk of macrosomia.…”

Section: Discussionmentioning

confidence: 99%

Binge alcohol drinking before pregnancy is closely associated with the development of macrosomia: Korean pregnancy registry cohort

et al. 2022

Background Alcohol drinking during pregnancy has been well-known to cause the detrimental effects on fetal development; however, the adverse effects of pre-pregnancy drinking are largely unknown. We investigate whether alcohol drinking status before pregnancy is associated with the risk for macrosomia, an offspring’s adverse outcome, in a Korean pregnancy registry cohort (n = 4,542) enrolled between 2013 and 2017. Methods Binge drinking was defined as consuming ≥5 drinks on one occasion and ≥2 times a week, and a total 2,886 pregnant, included in the final statistical analysis, were divided into 3 groups: never, non-binge, and binge drinking. Results The prevalence of macrosomia was higher in binge drinking before pregnancy than those with never or non-binge drinking (7.5% vs. 3.2% or 2.9%, p = 0.002). Multivariable logistic regression analysis demonstrated an independent association between macrosomia and prepregnancy binge drinking after adjusting for other confounders (adjusted odds ratio = 2.29; 95% CI, 1.08–4.86; p = 0.031). The model added binge drinking before pregnancy led to improvement of 10.6% (95% CI, 2.03–19.07; p = 0.0006) in discrimination from traditional risk prediction models. Conclusion Together, binge drinking before pregnancy might be an independent risk factor for developing macrosomia. Intensified intervention for drinking alcohol in women who are planning a pregnancy is important and may help prevent macrosomia.

“…Inclusion criteria were: age between 18 and 30 years old, living in Spain during COVID-19 confinement (April, 2021), and being enrolled in the study conducted in November, 2019 [ 27 ] . Exclusion criteria were: having an eating disorder, having a medical condition that may affect eating behavior or mood, and having a diagnosis of severe mental disorder.…”

Section: Methodsmentioning

confidence: 99%

“…Participants belonging to a previous study [ 27 ] were contacted via email and were invited to participate. Those who agreed to participate in the current study signed an informed consent, in which also agreed to retrieve their previous information.…”

Section: Methodsmentioning

confidence: 99%

Eating behaviors, eating styles and body mass index during COVID-19 confinement in a college sample: a predictive model

et al. 2022

Self Cite

Background COVID-19 confinement affected lifestyles. There is inconclusive evidence about changes in eating patterns, and there are few studies on the impact on body mass index (BMI), the occurrence of dysfunctional behaviors (binge eating, fat intake), and the predictive role of maladaptive eating styles (emotional, external, and restrained eating). Objectives (1) To analyze the differences in binge eating, fat intake, BMI, and maladaptive eating styles before and during COVID-19 confinement, and (2) to analyze whether maladaptive eating styles (before confinement) predicted binge eating, fat intake, and BMI during confinement. Methods The sample consisted of 146 Spanish college students, divided into 104 females (71.2%; age: M = 22.20, SD = 2.97) and 42 males (28.8%; age: M = 24.74; SD = 3.53). All completed several dietary measures and BMI twice: before COVID-19 confinement (T1, November 2019) and during COVID-19 confinement (T2, April 2020). Results BMI and maladaptive eating styles did not change in T2 (vs. T1). However, binge eating and fat intake decreased in T2. Emotional eating at T1 positively predicted BMI and binge eating at T2. External eating at T1 positively (and marginally) predicted fat intake at T2. Restrained eating at T1 positively predicted binge eating at T2, and negatively (and marginally) predicted BMI and fat intake at T2. The model explained 80.5% of the variance in BMI, 41.5% of the variance in binge eating, and 25.8% of the variance in fat intake during COVID-19 confinement. Conclusions The COVID-19 confinement had a positive impact on some eating behaviors. Future policies should focus part of their prevention on maladaptive eating styles to curb dysfunctional eating behaviors and BMI problems in times of stress.