Survey links cannabis and binge drinking profile to poorer health in diabetes

Substance use profiles predict health outcomes among U.S. adults with diabetes: Implications for primary care screening and intervention.

Primary care diabetes β€’ β€’ Relevant
πŸ€–

AI Summary

This observational study used national survey data from 6,805 U.S. adults with diabetes to identify patterns of substance use and examine how those patterns related to health. The analysis found three profiles: Low/Non-Use (67.6%), Cannabis and Binge Drinking (24.4%), and Polysubstance Use (8.0%). Higher-risk profile membership was associated with male sex, greater mental health burden, and urban residence; marriage and college education were associated with lower likelihood of membership.

The main health finding was that people in both higher-risk profiles had more than twice the likelihood of reporting poor self-rated health compared with the low/non-use profile. Members of the Polysubstance Use profile also had higher odds of hospitalization (OR = 1.46). These are associations, not evidence that substance use caused the health differences. Because the study is observational and the abstract does not establish the timing or causes of these outcomes, it cannot show whether cannabis or other substance use led to poorer health; this is an abstract-based summary.

πŸ’‘ Key Findings

1
The survey analysis identified three substance-use profiles among adults with diabetes, including a Cannabis and Binge Drinking profile.
High
95%
2
Both higher-risk profiles were more than twice as likely to report poor self-rated health as the low/non-use profile.
High
95%
3
The Polysubstance Use profile was associated with higher odds of hospitalization (OR = 1.46).
High
95%
4
Higher-risk profile membership was associated with male sex, mental health burden, and urban residence; marriage and college education were associated with lower membership.
High
90%

πŸ“„ Original Abstract

AIMS: Substance use is common among adults with diabetes yet remains poorly characterized in terms of co-occurring patterns. This study sought to identify distinct substance use profiles among U.S. adults with diabetes, characterize factors associated with profile membership, and examine their clinical relevance. METHODS: Data were from the 2022-2023 National Survey on Drug Use and Health (nβ€―=β€―89,889; 6805 with diabetes). Latent class analysis identified substance use profiles. Multinomial logistic regression examined demographic, socioeconomic, and mental health characteristics associated with profile membership. Weighted regression models evaluated associations between membership and health indicators. RESULTS: Three profiles emerged: Low/Non-Use (67.6%), Cannabis and Binge Drinking (24.4%), and Polysubstance Use (8.0%). Higher-risk membership was associated with male sex, mental health burden, and urban residence; marriage and college education were protective. Both higher-risk classes were more than twice as likely to report poor self-rated health. Polysubstance Use class members had significantly higher odds of hospitalization (OR = 1.46). CONCLUSIONS: Substance use among adults with diabetes is heterogeneous and linked to measurably worse health status outcomes including poorer self-rated health and higher hospitalization risk. These findings support routine, risk-stratified screening for substance use and mental health in diabetes care and may help inform targeted interventions.

Explore More Research

Stay informed about the latest cannabis science.

Your stash, decoded.