Theory, Measurement, and Psychometric Properties of Risk and Protective Factors for Drug Misuse Among Adolescents Living on or near the Cherokee Nation Reservation.
Melvin D LivingstonCaroline M BarryAshna JagtianiTerrence K KominskyJuli R SkinnerBethany J LivingstonMegan HarmonEmily A IvanichHannah L F CooperAlexander C WagenaarKelli A KomroPublished in: Adversity and resilience science (2023)
A team of tribe-based behavioral health specialists and university-based researchers partnered to implement a cluster randomized trial for the prevention of drug misuse among adolescents attending public high schools on or near the Cherokee Nation Reservation in northeastern Oklahoma. The conceptual framework, which guided intervention and measurement design for the trial, incorporates indigenous knowledge and worldviews with empirically-based frameworks and evidence-based practices. Our goal is to serve multicultural youth, families, and schools and to provide a model of effective strategies for wide dissemination. This paper presents the conceptual model, survey design, and psychometric properties of scales to measure risk and protective factors for substance misuse. The survey includes common measures drawn from the PhenX Toolkit on substance use patterns-adolescent module, measured with standard items from the Monitoring the Future (MTF) study and items harmonized across ten NIH-funded research projects with diverse samples of youth. In our trial, brief (20-minute) self-report questionnaires were administered to 10th grade students in fall 2021 ( n = 919, 87% response rate) and spring 2022 ( n = 929, 89% response rate) in 20 participating high schools on or near the Cherokee Nation Reservation. The sample primarily fell into the following three categories of race/ethnicity identification: only American Indian (AI-only, 29%), AI and another race/ethnicity (AI+, 27%), and only White (35%). Results indicate that risk and protective factor scales were reliably and validly measured with 10 scales and 10 subscales. There were minimal differences between youth who identified as AI only, AI+, and White only, especially for the main scales, which provide confidence in the interpretation of trial outcomes across demographic groups. Study results may not be generalizable to AI/AN youth who live and attend school in more homogenous reservation lands, or alternatively, live in large diverse metropolitan areas.
Keyphrases
- psychometric properties
- mental health
- artificial intelligence
- physical activity
- healthcare
- young adults
- study protocol
- phase iii
- clinical trial
- chronic pain
- public health
- primary care
- phase ii
- machine learning
- deep learning
- cross sectional
- type diabetes
- emergency department
- quality improvement
- health information
- weight loss
- insulin resistance
- skeletal muscle
- drug induced
- tertiary care
- climate change
- placebo controlled