Associated factors of readiness to change in young adult risky drinkers

Alley, Ebon S.; Velasquez, Mary M.; Sternberg, Kirk von

doi:10.1080/00952990.2017.1363768

Cited by 14 publications

(9 citation statements)

References 63 publications

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“…Demographics and psychiatric symptoms were largely unrelated to patients’ SOC, in contrast to other studies (Abdullah & Yam, 2005; Dotinga et al, 2005; Garber et al, 2008). Unlike prior studies (Alley et al, 2018; Bradshaw et al, 2013; Jackson et al, 2003), our study did not focus on patients with any particular presenting problem and this heterogeneity may have masked results that would emerge in more homogeneous samples.…”

Section: Discussionmentioning

confidence: 99%

“…Greater mental health symptom severity is associated with later SOC in intimate partner violence victims (Edwards et al, 2006; Johnson & Johnson, 2013). More severe alcohol problems are associated with higher readiness to reduce alcohol use (Alley et al, 2018; Williams et al, 2006). In overweight patients, perceiving excess weight as a health risk is associated with a higher readiness to improve diet and exercise (Wee et al, 2005).…”

Section: Predictors Of Stage Of Changementioning

confidence: 99%

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Primary care behavioral health patients’ stage of change: Correlates and relation to follow-up session attendance.

Bridges¹,

Mapes²,

Scafe³

et al. 2022

Families, Systems, & Health

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Introduction: In this study, we examined patients' readiness to change behavior (their stage of change) in a primary care behavioral health (PCBH) setting. We examined sociodemographic and health correlates of patients' stage of change and whether stage of change related to follow-up visit attendance. Method: One-hundred eleven adult primary care patients completed self-report measures of psychiatric symptoms, hope, and stage of change at their initial behavioral health session. Demographic, health information, and follow-up visit attendance were gathered from patient electronic health records. Results: Results suggest most patients referred to PCBH providers were in preparation and action stages of change. At the bivariate level, older age and non-Latinx ethnicity were associated with greater readiness to change. At the multivariate level, older age and higher levels of hope were associated with later stages of change. Patients in preparation, but not action, stages of change were significantly more likely to attend a follow-up behavioral health appointment than were patients in precontemplation/contemplation. Discussion: Findings suggest most PCBH patients are prepared to take action or have already taken action to improve their behavioral health. Further, a single item assessing patients' stage of change is associated with continued retention in behavioral health treatment.

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Section: Discussionmentioning

confidence: 99%

Section: Predictors Of Stage Of Changementioning

confidence: 99%

Primary care behavioral health patients’ stage of change: Correlates and relation to follow-up session attendance.

Bridges¹,

Mapes²,

Scafe³

et al. 2022

Families, Systems, & Health

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show abstract

“…Specifically, women used more MVMs, individual vitamins/minerals, herbals, and joint health products than men. Sex differences may be associated with greater overall health awareness in women, as evidenced by the fact that women are more likely to seek medical care ( 38–40 ) and are more likely than men to make behavioral changes to improve health ( 41–43 ). Although women had higher use than men in most DS categories, men had higher use of proteins/AAs, combination products, and purported prohormones.…”

Section: Discussionmentioning

confidence: 99%

Prevalence of and Factors Associated with Dietary Supplement Use in a Stratified, Random Sample of US Military Personnel: The US Military Dietary Supplement Use Study

Knapik

Trone

Steelman

et al. 2021

The Journal of Nutrition

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Background About 50% of Americans and 70% of US military service members use dietary supplements (DSs). Objectives This cross-sectional survey examined current prevalence of and factors associated with DS use in service members. Methods A stratified random sample of 200,000 service members from the Air Force, Army, Marine Corps, and Navy was obtained from military manpower records, and these service members were asked to complete a questionnaire on their DS use and personal characteristics. Chi-square statistics and multivariable logistic regression examined differences across various strata of demographic, lifestyle, and military characteristics. Results About 18% of successfully contacted service members (n = 26,681) completed the questionnaire between December 2018 and August 2019 (mean ± SD age: 33 ± 8 y, 86% male). Overall, 74% reported using ≥1 DS/wk. Multivitamins/multiminerals were the most commonly used DSs (45%), followed by combination products (44%), proteins/amino acids (42%), individual vitamins/minerals (31%), herbals (20%), joint health products (9%), and purported prohormones (5%). In multivariable analysis, factors independently associated with DS use included female gender [OR (female/male): 1.91; 95% CI: 1.73, 2.11], older age [OR (≥40/18–24 y): 1.25; 95% CI: 1.08, 1.44], higher education level [OR (college degree/high school or less): 1.35; 95% CI: 1.19, 1.53], higher BMI [OR (≥30/<25 kg/m2): 1.37; 95% CI: 1.25, 1.52], more weekly resistance training [OR (>300/≤45 min/wk): 5.05; 95% CI: 4.55, 5.61], smokeless tobacco use [OR (user/nonuser): 1.30; 95% CI: 1.17, 1.44], higher alcohol intake [OR (≥72/0 mL/wk): 1.41; 95% CI: 1.29, 1.54], and higher military rank [OR (senior officer/junior enlisted): 1.26; 95% CI: 1.06, 1.51]. Conclusions Compared with civilian data from the NHANES, service members were much more likely to use DSs and used different types of DSs, especially combination products and proteins/amino acids often used to purportedly enhance physical performance. Comparisons with previous military data suggest DS use has increased over time.

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“…Studies among adults find that readiness to change may vary by criminal justice status and substance use treatment modality and point to the importance of readiness in predicting substance use outcomes ( De Leon et al, 2000 , Melnick et al, 2001 , Melnick et al, 2014 ). While studies of readiness to change substance use have been conducted among young adults ( Alley et al, 2018 , Caviness et al, 2013 , Goodman et al, 2015 , Palfai et al, 2016 ), none that we are aware have been conducted among JIYA despite their higher risk profiles.…”

Section: Introductionmentioning

confidence: 92%

Readiness to change among justice-involved young adults in an alternative sentencing program who screened positive for alcohol or drug risk

O’Grady

Tross

Cohall

et al. 2022

Addictive Behaviors Reports

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Associated factors of readiness to change in young adult risky drinkers

Cited by 14 publications

References 63 publications

Primary care behavioral health patients’ stage of change: Correlates and relation to follow-up session attendance.

Primary care behavioral health patients’ stage of change: Correlates and relation to follow-up session attendance.

Prevalence of and Factors Associated with Dietary Supplement Use in a Stratified, Random Sample of US Military Personnel: The US Military Dietary Supplement Use Study

Readiness to change among justice-involved young adults in an alternative sentencing program who screened positive for alcohol or drug risk

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