Fork-First Fertility curates peer-reviewed research on fertility and food and builds personalised fertility food plans backed by the evidence.

Examining the proportions of food addiction among women with and without polycystic ovarian syndrome who do and do not take hormonal birth control.

Eating behaviors, 2023

Derrigo K, LaFata EM.

View study

Abstract

Polycystic ovarian syndrome (PCOS) is a reproductive disorder driven by insulin resistance. Insulin resistance may increase weight gain and increase the rewarding intake of ultra-processed foods (UPFs). Individuals with PCOS may be more susceptible to the reinforcing properties of UPFs, increasing the risk to consume UPFs in addictive-like ways, operationalized by food addiction (FA). Additionally, hormonal birth control, commonly prescribed to women with PCOS, are found to increase food cravings and overeating. This study examined the relationships between PCOS status, FA, and hormonal birth control use. The study sample (N = 365, assigned female at birth) was drawn from Amazon Mechanical Turk, with half of the sample (n = 181) reporting having PCOS and the other half not (n = 184). Participants answered questions about women's reproductive health (i.e., PCOS, hormonal birth control use) and completed the modified Yale Food Addiction Scale 2.0 (mYFAS 2.0). A chi-square test found that 51.9 % of participants with PCOS (M = 6.23, SD = 3.82) met diagnostic criteria for FA (assessed by the mYFAS 2.0) compared to 16.8 % of participants without PCOS (M = 2.47, SD = 3.39). A hierarchical linear regression found independent main effects of PCOS status (β = 0.40, t(352) = 8.61, p < .001) and hormonal birth control use (β = 0.16, t(351) = 3.59, p < .001), to be associated with higher mYFAS symptom count scores. No differences were found between the types of hormonal birth control participants reported taking. The finding suggests that FA is an overlooked, understudied psychological condition impacting these individuals in weight loss treatments. Future studies are needed to understand the relationship between FA and PCOS in clinical samples.

This study is part of the research supporting the Fork-First Fertility approach.

Our proprietary algorithm determines whether these specific results are relevant for you, and suggests foods to eat and foods to avoid accordingly.

Learn more from our free assessment ->