Changes in coping and social motives for drinking and alcohol consumption across the menstrual cycle

Joyce, Kayla M.; Hudson, Amanda; O’Connor, Roisin M.; Thompson, Kara; Hodgin, Megan; Perrot, Tara S.; Stewart, Sherry H.

doi:10.1002/da.22699

Cited by 22 publications

(37 citation statements)

References 51 publications

(75 reference statements)

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“…Self-medication theory (SMT; Khantzian, 1997) posits that addictive behaviors serve to reduce/eliminate elevated negative affect. Consistent with SMT predictions, increased alcohol consumption menstrually was explained by elevated coping motives (Joyce, Hudson, et al, 2018). Since female gamblers gamble to cope more frequently than males (Stewart & Zack, 2008), and if gambling motivation similarly has state-like properties, females may increase risky GBs premenstrually/ menstrually (vs. other MCPs) to self-medicate elevated negative affect (Richards et al, 2006).…”

Section: Introductionsupporting

confidence: 57%

Retrospective and prospective assessments of gambling-related behaviors across the female menstrual cycle

et al. 2019

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Background and aims: Despite increases in female gambling, little research investigates female-specific factors affecting gambling behavior (GB). Although research suggests that some addictive behaviors may fluctuate across menstrual cycle phase (MCP), gambling requires further investigation. In two studies, we examined associations between MCP and three risky GBs: time spent gambling, money spent gambling, and the probability of consuming alcohol while gambling. Associations between MCP and negative affect were also examined in Study 2. We predicted that, consistent with self-medication theory, increases in negative affect (Study 2) and risky GBs (Studies 1 and 2) would occur premenstrually/menstrually relative to other phases. Methods: Data were obtained from 33 female gamblers using a retrospective timeline followback procedure (Study 1) and from 20 female gamblers using a prospective 32-day, daily diary method (Study 2). In Study 2, salivary progesterone levels verified self-reported MCP validity. Results: Findings revealed significant, but somewhat inconsistent, MCP effects on GBs across studies. The self-medication hypothesis was partially supported. Increases relative to another MCP(s) were found for alcohol consumption while gambling premenstrually, time spent gambling menstrually/premenstrually, money spent gambling menstrually, and negative affect premenstrually. Unexpectedly, findings more consistently indicated that GBs increased during ovulation, suggestive of enhanced reward sensitivity. Progesterone assays validated selfreported MCP (Study 2). Discussion and conclusions: The results suggest a role of ovarian hormones on negative affect and GBs in females. This research could lead to the identification of female-specific factors affecting gambling and the development of more effective interventions for females with, or at risk for, problematic gambling.

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Section: Introductionsupporting

confidence: 57%

Retrospective and prospective assessments of gambling-related behaviors across the female menstrual cycle

et al. 2019

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“…Furthermore, this chapter provides standardization methods which can be used to enhance our understanding of the menstrual cycle as a female-specific factor that may influence important outcome variables in the field of addiction and mental health. Standardized data using continuous standardization also allows for the use of more intricate statistical methods such as TVEM [19] which will significantly benefit behavioral research on the menstrual cycle.…”

Section: Discussionmentioning

confidence: 99%

Section: Continuous Standardizationmentioning

confidence: 99%

“…In our prior research [19], we have biologically validated standardizing menstrual cycle length via continuous standardization through the collection of saliva samples. In our research, we collected saliva samples during times of theoretically low (days 1-7) and high (days 18-24) progesterone concentrations [19]. Enzyme-linked immunosorbent assays (ELISA) were then carried out to determine progesterone concentrations for each participant and a paired-sample t-test followed to validate participant's menstrual cycle day using the identified progesterone concentrations.…”

Section: Continuous Standardizationmentioning

confidence: 99%

“…One might similarly standardize data on mood across the menstrual cycle, for example, for these same participants. One could then determine whether elevations in negative mood menstrually and premenstrually, for example, account for rises in cigarette smoking on days corresponding to these same phases, again using TVEMs (e.g., see [19]).…”

Section: For Cycle Lengths Above 28 Daysmentioning

confidence: 99%

See 2 more Smart Citations

Standardization of Menstrual Cycle Data for the Analysis of Intensive Longitudinal Data

Joyce¹,

Stewart²

2019

Menstrual Cycle

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Daily diary methodology is becoming popular in human menstrual cycle (MC) research. However, variations in MC length makes it difficult to examine fluctuations in dependent variables (e.g., substance use levels), across the MC. Existing analytic approaches collapse data across MC phases, examining phase-related changes; however, a loss of potentially vital information can result when data is collapsed across phase. Additionally, current phase designation methods (phase designation and days within each phase) vary substantially across studies, making it difficult to interpret/compare results across studies. To address these problems, two methods were developed to standardize intensive longitudinal data collected via daily diary methodologies-phasic and continuous standardization. Phasic standardization accounts for individual variability in MC length by allowing luteal phase length differences while remaining phases are fixed, enabling the analysis of phasic variations. Alternatively, continuous standardization accounts for individual variability in MC length by standardizing the luteal phase to a seven-day phase, while remaining phases are fixed, allowing for the exploration of continuously reported variables across MC day. This chapter will discuss how to standardize daily diary data collected across the MC using phasic and continuous standardization methods and demonstrate the two standardization methods using two clinically-relevant hypothetical examples.

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Addictive behaviors across the menstrual cycle: a systematic review

Joyce

Good

Tibbo

et al. 2021

Arch Womens Ment Health

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Changes in coping and social motives for drinking and alcohol consumption across the menstrual cycle

Abstract: Clinicians should be attentive to cycle phase when treating reproductive-aged women with alcohol disorders (e.g., encouraging the use of healthier means of coping with negative affect during menses).

Cited by 22 publications

References 51 publications

Retrospective and prospective assessments of gambling-related behaviors across the female menstrual cycle

Retrospective and prospective assessments of gambling-related behaviors across the female menstrual cycle

Standardization of Menstrual Cycle Data for the Analysis of Intensive Longitudinal Data

Addictive behaviors across the menstrual cycle: a systematic review

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