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. 2022 Feb 8:13:772412.
doi: 10.3389/fpsyt.2022.772412. eCollection 2022.

Association Between Hormonal Birth Control, Substance Use, and Depression

Affiliations

Association Between Hormonal Birth Control, Substance Use, and Depression

Sharlene D Newman. Front Psychiatry. .

Abstract

Objective: The current study examined the impact of the use of hormonal birth control, cannabis (CB), and alcohol on depression symptoms.

Study design: Survey data from 3,320 college-aged women collected over a 2-year period. Depression symptoms were assessed using the PHQ-9.

Results: Individuals taking hormonal birth control (N = 998; age = 19.1 ± 1.6 years) had lower overall depression scores than did those not taking birth control (N = 2,322; age = 19.1 ± 1.8 years) with 15.2% of those not taking hormonal birth control had depressive symptoms while 12.1% of those in the birth control group had depressive symptoms. Additionally, those taking hormonal birth control had higher scores on the alcohol and CB use assessment. A between-subjects ANOVA with depression score as the dependent variable found significant effects hormonal birth control use, CB and alcohol use, as well as a significant interaction between CB use and hormonal birth control use.

Conclusions: While there are some limitations (e.g., the between subjects design makes it such that there may be uncontrolled differences between groups), the results suggest that hormonal birth control use may help to reduce depressive symptoms.

Implications: More studies examining the impact of hormonal birth control and substance use on depression are required. The results suggest a potential interaction between CB and hormonal birth control use on depression symptoms that is not observed for alcohol. This implies that alcohol and CB may be linked to depression via different mechanisms.

Keywords: alcohol; birth control; cannabis; depression; hormones.

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Conflict of interest statement

The author declares that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Figures

Figure 1
Figure 1
Shows the PHQ-9 scores for each independent variable.
Figure 2
Figure 2
Shows the simple effects. For CUDIT group differences in PHQ-9 scores were observed for the safe and hazard groups with the safe group showing that non-HBC users had higher scores than HBC users. The opposite was true for the CUDIT hazard category, which led to a cross-over interaction. For AUDIT, the safe and hazard group showed significant effects with the non-HBC group having higher PHQ-9 scores than users.

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