How Peer Conflict Profiles and Socio-Demographic Factors Influence Type 1 Diabetes Adaptation

OBJECTIVE

This study aimed to (a) validate the factor structure for a measure of peer conflict in youth with type 1 diabetes (T1D); (b) determine empirical patterns of peer conflict in terms of context (friend vs. nonfriend) and content (diabetes-specific vs. general) within a broader context of socio-demographic factors; and (c) examine how these patterns and socio-demographic factors relate to adolescents' T1D adherence, quality of life, and glycemic control (HbA1c).

METHODS

Youth with T1D (N = 178), ages 12-18, reported demographic variables, illness duration, adherence, quality of life, and peer conflict. HbA1c was extracted from medical records. Confirmatory factor analysis validated a factor structure for the Diabetes Peer Conflict Scale (DPCS) and latent profile analysis (LPA) determined profiles of peer conflict.

RESULTS

A four-factor structure emerged for the DPCS: general friend conflict, general nonfriend conflict, T1D friend conflict, and T1D nonfriend conflict. Using these factors as indicators in LPA, four profiles were confirmed: (a) Low Overall Conflict (LOC) and (b) Moderate Overall Conflict (MOC), (c) a Nonfriend Conflict (NFC), and (d) a Friend Conflict (FC) profile. Differences were not identified between diabetes specific versus general conflict. Socio-demographic variables did not predict class membership. The LOC profile reported the highest quality of life and best glycemic control, whereas the FC profile reported the lowest adherence behaviors. Conclusions: Peer conflict uniquely contributes to diabetes adaptation above and beyond socio-demographic and illness factors.

Predictors of diabetic ketoacidosis hospitalizations and hemoglobin A1c among youth with Type 1 diabetes

OBJECTIVE

Diabetic ketoacidosis (DKA) and elevated hemoglobin A1c (HbA1c) in youth with Type 1 diabetes (T1D) can result in significant morbidity and mortality. Elucidating the risk factors for poor glycemic control and DKA hospitalizations is crucial for the refinement and development of prevention and treatment efforts.

METHOD

Based on a conceptual framework, this study used path analysis to evaluate individual and family characteristics, psychosocial responses, and individual and family responses that prospectively predict the number of DKA hospitalizations and HbA1c approximately 1 year after assessment, accounting for sociodemographics. A total of 174 youth 12-18 years old with T1D (M = 14.68, SD = 1.77) and their caregivers completed measures assessing demographics, internalizing symptoms, diabetes stress, diabetes-related family conflict, and adherence. Medical records were reviewed to obtain the number of episodes of DKA and the HbA1c at 1-year follow-up.

RESULTS

Thirty-one participants had at least 1 episode of DKA based on chart review. Greater duration of diabetes, higher baseline HbA1c, lower income, identifying as non-Hispanic White, and higher youth report of internalizing symptoms were significant predictors of DKA at follow-up (p < .05). Identifying as Black-African American, a younger age, and higher baseline HbA1c significantly predicted higher HbA1c at follow-up (p < .05).

CONCLUSIONS

Future studies should assess the utility and accuracy of using screeners for internalizing symptoms in pediatric endocrinology clinics to identify youth at risk for DKA hospitalizations. (PsycINFO Database Record (c) 2019 APA, all rights reserved).

MMPI disability profile: the least known, most useful screen for psychopathology in chronic occupational spinal disorders

STUDY DESIGN

Prospective study on predicting psychopathology in chronic occupational spinal disorders (COSDs).

OBJECTIVE

To assess prevalence of specific profiles on the Minnesota Multiphasic Personality Inventory (MMPI) and their ability to predict psychopathology in a COSD cohort.

SUMMARY OF BACKGROUND DATA

In the relatively small number of COSDs that develop chronic pain and disability, the MMPI-2 has been an important part of the psychosocial assessment. Certain profiles have been thought to have a high prevalence in COSD. They have also been widely popularized as predicting certain treatment outcomes, and have often been used to "screen" surgical and rehabilitation candidates.

METHOD

Of an initial cohort of 1,489 consecutive COSD patients completing a valid prerehabilitation MMPI-2, 1,185 patients (79.6%) were classifiable into one of four MMPI profile groups. A new Disability Profile (DP) group was identified, which was the most common profile. Patients attended a 5- to 7-week interdisciplinary rehabilitation program. They completed a psychosocial assessment battery, and a Structured Clinical Interview for DSM IV diagnosis (SCID-I and II) was administered as the "gold standard" for defining psychopathology. One year postrehabilitation, a structured clinical interview assessed socioeconomic outcomes.

RESULTS

A previously unrecognized MMPI profile, now termed the DP, was found to have a prevalence of 53.2% of the whole group, and 66.9% of those with "classifiable" MMPI profiles in this large population of COSD patients. Only 6.9% of subjects had normal profiles (NP), while only 19.5% had profiles previously thought to occur commonly in this population. NP patients were twice as likely to retain work 1 year after treatment than the 3 abnormal MMPI groups combined. The DP group was 14 times more;1 likely to have an Axis I diagnosis (such as depression or anxiety) than the NP group, and was also almost 5 times more likely have an Axis II personality disorder diagnosis.

CONCLUSIONS

The prevalence of commonly cited MMPI profiles, often used for presurgical or chronic pain screening in this population, is relatively small. The prevalence of four or more elevations (DP), however, is large, representing two thirds of patients demonstrating any classifiable MMPI pattern. The DP group showed extremely high levels of associated psychopathology, which raises "red flags" to the surgeon likely to operate on such patients, or the interdisciplinary pain team. Screening COSD patients with the MMPI-2 may be effective in identifying psychopathology, but only if the physician is aware that the DP is commonplace and significant.