Eating behaviour, physical activity, TV exposure and sleeping habits in five year olds: a latent class analysis

A Latent Class Analysis of Family Eating Behaviors and Home Environment Habits on Preschool-Aged Children's Body Mass Index

Background: The etiology of obesity is multifaceted, with multiple risk factors occurring during early childhood (e.g., fast food frequency, eating dinner as a family, TV in the bedroom). Many past studies have largely considered obesity risk factors in isolation, when in reality, the risk factors likely cluster together. A latent class analysis can be used to identify patterns in child eating behaviors, parent feeding behaviors, and household habits among preschool-aged children and their families to identify distinct, heterogenous classes and to determine if classes are associated with overweight and obesity. Methods: We used data from a community-based study of 624 three- to five-year-old children and a parent in New Hampshire, from March 2014 to October 2015. Parent-reported data were used to determine frequency of eating behaviors and household habits. Height and weight were objectively measured. Results: Four classes were identified; Class 1: "Healthy/Mildly accommodating," Class 2: "Healthy/Accommodating," Class 3: "Moderately healthy/Moderately accommodating," and Class 4: "Least healthy/Least accommodating." Compared with Class 1, children in Class 4 had increased odds of being overweight or obese [adjusted odds ratio (aOR): 1.64, 95% confidence interval (CI): 1.13-2.15], whereas Classes 2 and 3 were not associated with BMI (Class 2: aOR: 1.24, 95% CI: 0.62-1.86; Class 3: aOR: 1.31, 95% CI: 0.81-1.81). Conclusion: Study findings highlight that child-parent interactions around meals differentially relate to children's weight status given the context of children's eating habits. Most important, our study findings confirm the importance of adapting multiple healthy habits within the home social and physical environment to offset obesity risk in young children.

Associations between parent and child latent eating profiles and the role of parental feeding practices

Previous research employing the person-centred approach of Latent Profile Analysis (LPA) with parent-reported data of their child's eating behaviour identified four distinct eating profiles in 3-6-year-old children: typical, avid, happy, and avoidant eating (Pickard et al., 2023). In this follow-up study, the same parents were asked to self-report their own eating behaviour (N = 785) and LPA was conducted to determine the latent eating profiles of the parents/caregivers. The LPA showed that a four-profile solution best represented the sample of parents, termed: typical eating (n = 325, 41.4%), avid eating (n = 293, 37.3%), emotional eating (n = 123, 15.7%) and avoidant eating (n = 44, 5.6%). Multiple mediation analysis was then conducted to examine both the direct associations between parents' eating profiles and the child's probability of eating profile membership, as well as the indirect associations through the mediatory role of specific parental feeding practices. The results suggested direct links between parent and child eating profiles, with the 'avid eating' and 'avoidant eating' profiles in parents predicting similar profiles in their children. Feeding practices, such as using food for emotional regulation, providing balanced and varied food, and promoting a healthy home food environment, mediated associations between parent and child eating profiles. This research provides novel evidence to reinforce the need for interventions to be specifically tailored to both the parent's and child's eating profiles. The work also provides an interesting avenue for future longitudinal examination of whether the parents' provision of a healthy home food environment could protect against intergenerational transmission of less favourable eating behaviours.

Identifying an avid eating profile in childhood: Associations with temperament, feeding practices and food insecurity

This study aimed to identify distinct eating behaviour profiles in young children and examine how other key predictors of children's eating behaviour, including child temperament, the experience of food insecurity, or parental feeding practices, may vary by identified profiles. An online survey was conducted with 995 parents/carers living in England and Wales (N = 995, Mage = 35.4 years, 80% female, 88% White). Participants reported on their child's eating behaviour using the Child Eating Behaviour Questionnaire and completed measures of child temperament, household food security and parental feeding practices. Latent Profile Analysis (LPA) was carried out to identify distinct eating profiles amongst the children (36-72 months, Mage = 48.8 months, 52% female). Four eating profiles emerged from the sample of children: (a) avid eating, (b) avoidant eating, (c) happy eating, and (d) typical eating. Avid eating (21.9% of children) was characterised by higher levels of food responsiveness, enjoyment of food, and emotional over-eating in combination with lower satiety responsiveness, slowness in eating and food fussiness. Children with an avid eating profile were reported to be more surgent and experienced greater food insecurity than all other eating profiles. Parents of children belonging to the avid eating profile showed significantly greater use of food for emotional regulation, varied and balanced food provision, restriction of food for health, and restriction of food for weight feeding practices than the three other eating profiles.

Mediating effect of BMI on the relation of dietary patterns and glycemic control inT2DM patients: results from China community-based cross-sectional study

OBJECTIVE

To analyze the effects of different dietary types on in type 2 diabetes mellitus (T2DM) and determine the mediating effects of Body Mass Index (BMI) on dietary type with Fasting Plasma Glucose (FPG), Glycosylated Hemoglobin (HbA1c) on the associations in T2DM.

METHODS

Data of community-based cross-sectional study with 9602 participants including 3623 men and 5979 women were collected from the project 'Comprehensive Research in prevention and Control of Diabetes mellitus (CRPCD)' conducted by Jiangsu Center for Disease Control and Prevention in 2018. The dietary data were collected from a food frequency qualitative questionnaire (FFQ) and dietary patterns were derived through Latent Class Analysis (LCA). Then, Logistics regression analyses were used to evaluate the associations of FPG, HbA1c with different dietary patterns. The BMI (BMI = height/weight²) was used as a moderator to estimate the mediating effect. Mediation analysis was performed using hypothetical variables, the mediation variables, to identify and explain the observed mechanism of association between the independent and dependent variables while the moderation effect was tested with multiple regression analysis with interaction terms.

RESULTS

After completing Latent Class Analysis (LCA), the dietary patterns were divided into three categories: TypeI, TypeII, TypeIII. After adjusting for confounding factors such as gender, age, education level, marital status, family income, smoking, drinking, disease course, HDL-C, LDL-C, TC, TG, oral hypoglycemic drugs, insulin therapy, Hypertension, Coronary heart disease, Stroke, Type III were all significantly associated with HbA1c compared to those with Type I (P < 0.05), and the research showed the patients with Type III had High glycemic control rate. Taking type I as the reference level, the 95% Bootstrap confidence intervals of the relative mediating effect of TypeIII on FPG were (-0.039, -0.005), except 0, indicating that the relative mediating effect was significant (α_III = 0.346*, β_IIIFPG = -0.060*). The mediating effect analysis was performed to demonstrate that BMI was used as a moderator to estimate the moderation effect.

CONCLUSIONS

Our findings demonstrate that consuming Type III dietary patterns associates with good glycemic control in T2DM and the BMI associations would be playing a two-way effect between diet and FPG in Chinese population with T2DM, indicated that Type III could not only directly affect FPG, but also affect FPG through the mediating effect of BMI.

Risk Behavioral Contexts in Adolescence of Obese Adults

PURPOSE

Previous research suggests that poor nutrition, physical activity, sleep, and social/emotional climate are associated with weight gain. However, few empirical studies have examined how these factors relate to each other in adolescents who are later obese. Are these factors uniformly present, or do some co-occur or occur independently? This study seeks to identify subgroups of obese individuals at ages 24-32 years who exhibited unique, co-occurring behavioral and emotional contexts for obesity at ages 14-17 years.

METHODS

To identify subgroups of behavioral and contextual profiles in adolescence, the study applies latent class analysis to a sample of individuals who were obese in the fourth wave of the National Longitudinal Study of Adolescent to Adult Health (Add Health, N = 1,889). The study then explored covariates (e.g., gender, race) of class membership.

RESULTS

Considerable heterogeneity exists in risk profiles of adolescents obese as adults. For example, 21.1 percent of the sample is in a class with no differentiating risk factors, whereas two classes containing 22.1 percent of the sample exhibit high levels of depression, and nearly all the emotional factors are considered. Although some covariates are predictive of class membership, clear patterns are difficult to discern. However, poor physical health is clearly predictive of membership in the classes exhibiting a high risk of depression.

DISCUSSION

Clinicians should be aware that at younger ages, people who are ultimately obese display a range of factors linked to obesity. Although some exhibit behaviors such as high screen time and processed food consumption, others exhibit mainly poor social/emotional climate.