Dataset Information

Household Chaos, Maternal Emotional Responsiveness, and Child Eating Behavior: A Moderation Analysis.

ABSTRACT: OBJECTIVE:To address calls for a resilience-informed approach to understand the cause and prevention of childhood obesity, the current study aims to investigate the independent and interactive associations between household chaos, maternal emotional responsiveness, and eating behavior in early childhood. METHOD:A sample of (n = 108) families of 18- to 24-month-olds completed self-report surveys and consented to home visits as part of the larger STRONG Kids 2 (N = 468) study. Videotapes of family mealtimes were collected during home visits and coded for observed maternal emotional responsiveness. Mothers completed questionnaires assessing maternal emotional responsiveness, household chaos, and child eating behaviors. Moderation analyses assessed independent and interactive effects of chaos and emotional responsiveness on child appetite self-regulation. RESULTS:In moderation analyses controlling for demographic covariates, higher levels of chaos were associated with more emotional overeating and with more food responsiveness, but only among children of mothers observed engaging in low levels of responsiveness at mealtimes. There was no association between chaos and eating behavior among children of mothers observed engaging in high levels of emotional responsiveness at mealtimes. There was also no independent or interactive association between chaos and child eating behaviors characterized by food avoidance. CONCLUSION:Preliminary evidence suggests that maternal emotional responsiveness at mealtimes may attenuate the deleterious effects of chaos on child overeating and food responsiveness. Future research should prioritize using longitudinal designs, developing observational assessments of early childhood eating behaviors, and understanding these processes among families exposed to greater socioeconomic adversity.

SUBMITTER: Saltzman JA

PROVIDER: S-EPMC7046125 | biostudies-literature | 2019 Oct/Nov

REPOSITORIES: biostudies-literature

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Publications

Household Chaos, Maternal Emotional Responsiveness, and Child Eating Behavior: A Moderation Analysis.

Saltzman Jaclyn A JA Bost Kelly K KK McBride Brent A BA Fiese Barbara H BH

Journal of developmental and behavioral pediatrics : JDBP 20191001 8

<h4>Objective</h4>To address calls for a resilience-informed approach to understand the cause and prevention of childhood obesity, the current study aims to investigate the independent and interactive associations between household chaos, maternal emotional responsiveness, and eating behavior in early childhood.<h4>Method</h4>A sample of (n = 108) families of 18- to 24-month-olds completed self-report surveys and consented to home visits as part of the larger STRONG Kids 2 (N = 468) study. Video ...[more]

PMID: 31318779

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Project description:ObjectivesHousehold chaos, including disorder, noise, and crowding within the home, is a risk factor for poor mental and physical health. Household chaos may act upon maternal behaviors of physical activity and sleep, potentially via higher stress. The purpose of this study is to evaluate the relationships among household chaos, maternal stress, and maternal physical activity and sleep, and identify barriers to home organization during the COVID-19 outbreak.MethodsA cross-sectional study using an online survey of 1721 mothers of preschoolers (ages = 3.0-5.9 years) in the United States was conducted in May 2020 during COVID-19 stay-at-home orders and early reopening. Mothers reported demographic characteristics, household chaos, stress, physical activity and sleep, and barriers to home organization during the outbreak. Mediation models were conducted among household chaos, stress, and physical activity and sleep with adjustment for covariates.ResultsAbout half of mothers were middle income (48.2%), employed full-time prior to the outbreak (59.1%), and met the physical activity (47.7%), and sleep guideline (49.7%, 7-9 h/day). Household chaos and stress were both negatively related to physical activity and sleep. For every 1 unit increase in mother's current stress, mothers were 11% (95% confidence interval = 6% to 16%) less likely to meet the physical activity guideline and 19% (95% confidence interval = 14% to 23%) less likely to meet the sleep guideline. Household chaos was positively related to stress. Stress partially mediated the relationship between household chaos and physical activity and sleep. Virus concerns, occupational changes (i.e. teleworking), and lack of childcare were barriers to home organization.ConclusionDuring the COVID-19 outbreak, many mothers had poor sleep and physical activity, which was associated with household chaos and stress. Opportunities to promote order at the individual, household, and community level may result in beneficial mental and physical health in mothers of young children during the COVID-19 outbreak and beyond.

Project description:Understanding the link between mother's obesity and regulation of the child's appetite is a prerequisite for the design of successful preventive strategies. Beyond the possible contributions of genetic heritage, family culture, and hormonal and metabolic environment during pregnancy, we investigate in the present paper the causal role of the transmission of the maternal microbiotas in obesity as microbiotas differ between lean and obese mothers, maternal microbiotas are the main determinants of a baby's gut colonization, and the intestinal microbiota resulting from the early colonization could impact the feeding behavior of the offspring with short- and long-term consequences on body weight. We thus investigated the potential role of vertical transfers of maternal microbiotas in programming the eating behavior of the offspring. Selectively bred obese-prone (OP)/obese-resistant (OR) Sprague-Dawley dams were used since differences in the cecal microbiota have been evidenced from males of that strain. Microbiota collected from vagina (at the end of gestation), feces, and milk (at postnatal days 1, 5, 10, and 15) of OP/OR dams were orally inoculated to conventional Fischer F344 recipient pups from birth to 15 days of age to create three groups of pups: F-OP, F-OR, and F-Sham group (that received the vehicle). We first checked microbiotal differences between inoculas. We then assessed the impact of transfer (from birth to adulthood) onto the intestinal microbiota of recipients rats, their growth, and their eating behavior by measuring their caloric intake, their anticipatory food reward responses, their preference for sweet and fat tastes in solutions, and the sensations that extend after food ingestion. Finally, we searched for correlation between microbiota composition and food intake parameters. We found that maternal transfer of microbiota differing in composition led to alterations in pups' gut microbiota composition that did not last until adulthood but were associated with specific eating behavior characteristics that were predisposing F-OP rats to higher risk of over consuming at subsequent periods of their life. These findings support the view that neonatal gut microbiotal transfer can program eating behavior, even without a significant long-lasting impact on adulthood microbiota composition.

Project description:BackgroundEmotional eating (EE) is one of the most significant symptoms of various eating disorders. It has been difficult to collect a large amount of behavioral data on EE; therefore, only partial studies of this symptom have been conducted. To provide adequate support for online social media users with symptoms of EE, we must understand their behavior patterns to design a sophisticated personalized support system (PSS).ObjectiveThis study aimed to analyze the behavior patterns of emotional eaters as the first step to designing a personalized intervention system.MethodsThe machine learning (ML) framework and Latent Dirichlet Allocation (LDA) topic modeling tool were used to collect and analyze behavioral data on EE. Data from a subcommunity of Reddit, /r/loseit, were analyzed. This dataset included all posts and feedback from July 2014 to May 2018, comprising 185,950 posts and 3,528,107 comments. In addition, deleted and improperly collected data were eliminated. Stochastic gradient descent-based ML classifier with an accuracy of 90.64% was developed to collect refined behavioral data of online users with EE behaviors. The expert group that labeled the dataset to train the ML classifiers included a medical doctor specializing in EE diagnosis and a nutritionist with profound knowledge of EE behavior. The experts labeled 5126 posts as EE (coded as 1) or others (coded as 0). Finally, the topic modeling process was conducted with LDA.ResultsThe following 4 macroperspective topics of online EE behaviors were identified through linguistic evidence regarding each topic: addressing feelings, sharing physical changes, sharing and asking for dietary information, and sharing dietary strategies. The 5 main topics of feedback were dietary information, compliments, consolation, automatic bot feedback, and health information. The feedback topic distribution significantly differed depending on the type of EE behavior (overall P<.001).ConclusionsThis study introduces a data-driven approach for analyzing behavior patterns of social website users with EE behaviors. We discovered the possibility of the LDA topic model as an exploratory user study method for abnormal behaviors in medical research. We also investigated the possibilities of ML- and topic modeling-based classifiers to automatically categorize text-based behavioral data, which could be applied to personalized medicine in future research.

Project description:Emotion can reflect in the perception of food consumption. An increase in food intake during emotional and psychological conditions may have a negative impact on human health. The aim of this cross-sectional study was to determine the associations between food consumption, emotional eating behavior, and emotional conditions such as stress, depression, loneliness, boredom eating, maintaining vigilance and alertness, and emotional food consolation. We used a Motivations for Food Choices Questionnaire (Eating Motivations, EATMOT) to determine the emotional aspects of food consumption in 9052 respondents living in 12 European countries between October 2017 and March 2018. Ordinal linear regression was used to identify the associations between the emotional eating behavior and emotional conditions such as stress, depression, loneliness, emotional consolation, and reasons to improve physical and psychological conditions. The regression models confirmed the associations between food consumption, emotional conditions, and emotional eating behavior. Associations were found between the emotional eating behavior and stress (odds ratio (OR) = 1.30, 95% confidence interval (CI) = 1.07-1.60, p = 0.010), depressive mood (OR = 1.41, 95% CI = 1.40-1.43, p < 0.001), loneliness (OR = 1.60, 95% CI = 1.58-1.62, p < 0.001), boredom (OR = 1.37, 95% CI = 1.36-1.39, p < 0.001), and emotional consolation (OR = 1.55, 95% CI = 1.54-1.57, p < 0.001). Emotional eating was associated with an effort to improve physical and psychological conditions, such as controlling body weight (OR = 1.11, 95% CI = 1.10-1.12, p < 0.001), keeping awake and alert (OR = 1.19, 95% CI = 1.19-1.20, p < 0.001) and consumption to feel good (OR = 1.22, 95% CI = 1.21-1.22, p < 0.001). In conclusion, emotions might provoke emotional eating behavior. The appropriate way to handle stress, depression, or other emotional states is important in conditions of being emotionally overwhelmed. The public should be educated on how to handle different emotional states. The focus should be moved somehow from emotional eating and the consumption of unhealthy food to healthy lifestyle practices, including regular exercise and healthy eating habits. Thus, it is necessary to halt these negative health effects on human health through public health programs.

Dataset Information

Household Chaos, Maternal Emotional Responsiveness, and Child Eating Behavior: A Moderation Analysis.

Publications

Household Chaos, Maternal Emotional Responsiveness, and Child Eating Behavior: A Moderation Analysis.

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