Dataset Information

Psychosocial, Medical, and Demographic Variables Associated with Parent Mealtime Behavior in Young Children Recently Diagnosed with Type 1 Diabetes.

ABSTRACT:

Objective

Managing young children's mealtime concerns can be challenging after type 1 diabetes (T1D) diagnosis because of developmental factors and diabetes management demands. To identify potential intervention targets, we evaluated medical, psychosocial, and demographic factors in relation to parents' engagement in problem mealtime behaviors (e.g., pressure to eat, restriction).

Method

Parents (N = 157) of young children (age 1-6 years) reported on psychosocial variables (parent fear of hypoglycemia, family functioning, parent problem solving, and parents' problem mealtime behavior frequency and perceptions of being problematic) within 2 months after T1D diagnosis. Hierarchical regression analyses examined associations among psychosocial variables, demographics (child sex, parent race/ethnicity), child continuous glucose monitor (CGM) use, and parents' problem mealtime behaviors.

Results

Parents of children using CGMs reported parents' mealtime behaviors as more problematic than nonusers, but there were no differences for other medical or demographic variables. Models predicting parents' problem mealtime behavior frequency and problem perceptions that included psychosocial variables, demographic variables, and CGM use led to significant R 2 of 0.14 and 0.16, respectively. CGM use and parent problem solving were significantly associated with parent mealtime behaviors being perceived as more problematic.

Conclusion

Shortly after T1D diagnosis in young children, medical and parent psychosocial factors related to how frequently parents engaged in problem mealtime behaviors and the degree to which parents perceived them as problematic. Other factors may further explain the complexities of mealtime management. Considering parents' problem-solving skills and child treatment regimens may help guide interventions targeting mealtime challenges during the new diagnosis period.

SUBMITTER: Gonynor C

PROVIDER: S-EPMC9908816 | biostudies-literature | 2023 Feb-Mar 01

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

Psychosocial, Medical, and Demographic Variables Associated with Parent Mealtime Behavior in Young Children Recently Diagnosed with Type 1 Diabetes.

Gonynor Caroline C Wang Christine C Tully Carrie C Monaghan Maureen M Streisand Randi R Hilliard Marisa E ME

Journal of developmental and behavioral pediatrics : JDBP 20221130 2

<h4>Objective</h4>Managing young children's mealtime concerns can be challenging after type 1 diabetes (T1D) diagnosis because of developmental factors and diabetes management demands. To identify potential intervention targets, we evaluated medical, psychosocial, and demographic factors in relation to parents' engagement in problem mealtime behaviors (e.g., pressure to eat, restriction).<h4>Method</h4>Parents (N = 157) of young children (age 1-6 years) reported on psychosocial variables (parent ...[more]

PMID: 36730036

Similar Datasets

Project description:ImportanceUnderstanding supportive care needs in patients with cancer is important for developing approaches that enhance quality of life and promote satisfaction with care.ObjectiveTo characterize the nature and frequency of sociodemographic, medical, and psychosocial factors associated with unmet needs in patients with uveal melanoma 1 week and 3 months after diagnosis.Design, setting, and participantsThis 3-month, prospective, longitudinal survey study was conducted at a university-based ophthalmology practice from June 1, 2007, to July 1, 2011. Data were analyzed in April 2017. Consecutive patients (n = 429) scheduled for diagnostic evaluation for an intraocular abnormality were assessed for eligibility. Participants were ineligible (n = 25) if they were younger than 18 years, had previous advanced cancer, or evidenced cognitive impairment. Of the patients who provided informed consent (n = 306), those subsequently diagnosed with uveal melanoma by an ophthalmologist (n = 107) were included in the analysis.Main outcomes and measuresUnmet needs (ie, desire for help in psychological, physical, health information, communication, or social domains) were assessed using the Cancer Needs Questionnaire. Multivariable regression analyses determined factors associated with unmet need severity across 3 months.ResultsOne hundred seven patients (58 [54%] men; mean [SD] age, 59.0 [12.8] years) completed the baseline assessment. At 1 week after diagnosis, nearly all patients (85 of 86 [99%]) expressed at least 1 unmet need, as did 68 of 79 (86%) 3 months later. The most frequently endorsed needs were in the health information and psychological domains. Patients' unmet needs declined significantly over 3 months (mean [SD] change, -10.0 [14.4]; 95% CI, -6.4 to -13.6; t = -5.6). Sociodemographic and medical characteristics were unrelated to unmet need severity. However, higher prediagnosis instrumental social support (b = -0.2; 95% CI, -0.3 to -0.1; z = -2.8) and lower neuroticism (b = 0.3; 95% CI, 0.1-0.5; z = 2.9) predicted lower unmet need severity 1 week after diagnosis. Having a smaller social network predicted lower unmet need severity 3 months after diagnosis (b < 0.1; 95% CI, <0.1 to <0.1; z = 2.4) as well as a decline in needs from diagnosis to 3 months later (b < 0.1; 95% CI, <0.1 to <0.1; z = 2.3).Conclusions and relevanceWithin 1 week after diagnosis and 3 months later, most patients with uveal melanoma cited important health information and psychological needs. These findings suggest that prior to or at diagnosis, the severity of such needs and psychosocial factors that may be associated can be identified for proactive supportive intervention.

Dataset Information

Psychosocial, Medical, and Demographic Variables Associated with Parent Mealtime Behavior in Young Children Recently Diagnosed with Type 1 Diabetes.

Objective

Method

Results

Conclusion

Publications

Psychosocial, Medical, and Demographic Variables Associated with Parent Mealtime Behavior in Young Children Recently Diagnosed with Type 1 Diabetes.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets