Objectives: General and diabetes-specific family functioning may be associated with youth’s adaptation to type 1 diabetes (T1D); however, empirically derived patterns of family functioning and diabetes-specific conflict among youth have not been explored in relation to T1D adaptation. Methods: Youth (N = 161, aged 12–18) with T1D and caregivers completed measures of family functioning and diabetes-specific conflict that served as indicators in latent profile analyses. Differences in glycemic control (measured by hemoglobin A1cs [HbA1c] and health-related quality of life [HRQoL]) were compared across profiles. Results: Four profiles that varied by levels of family functioning, diabetes-specific conflict, and congruence between youth and caregiver perspectives emerged and related to T1D adaptation differently. Greater agreement between caregiver and youth and lower diabetes-specific conflict was associated with lower HbA1c and greater HRQoL. Conclusions: Person-centered approaches are useful to quantify how many individuals fit into a particular pattern and determine how specific family dynamics may function together differently in relation to T1D adaptation for various subgroups of the population.
Objectives: General and diabetes-specific family functioning may be associated with youth’s adaptation to type 1 diabetes (T1D); however, empirically derived patterns of family functioning and diabetes-specific conflict among youth have not been explored in relation to T1D adaptation. Methods: Youth (N = 161, aged 12–18) with T1D and caregivers completed measures of family functioning and diabetes-specific conflict that served as indicators in latent profile analyses. Differences in glycemic control (measured by hemoglobin A1cs [HbA1c] and health-related quality of life [HRQoL]) were compared across profiles. Results: Four profiles that varied by levels of family functioning, diabetes-specific conflict, and congruence between youth and caregiver perspectives emerged and related to T1D adaptation differently. Greater agreement between caregiver and youth and lower diabetes-specific conflict was associated with lower HbA1c and greater HRQoL. Conclusions: Person-centered approaches are useful to quantify how many individuals fit into a particular pattern and determine how specific family dynamics may function together differently in relation to T1D adaptation for various subgroups of the population.
Entities:
Keywords:
adolescence; chronic illness; conflict; family functioning; latent profile analysis; quality of life; type 1 diabetes
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