Women, quitting smoking for New Years? Time it with your period
News Jan 05, 2015
The menstrual cycle appears to have an effect on nicotine cravings, according to a new study by Adrianna Mendrek of the University of Montreal and its affiliated Institut universitaire en santé mentale de Montréal. "Our data reveal that incontrollable urges to smoke are stronger at the beginning of the follicular phase that begins after menstruation. Hormonal decreases of estrogen and progesterone possibly deepen the withdrawal syndrome and increase activity of neural circuits associated with craving," Mendrek said. She believes that it could therefore be easier for women to overcome abstinence-related withdrawal symptoms during the mid-luteal phrase, i.e. after ovulation, when their levels of estrogen and progesterone are elevated, but psycho-social factors cannot be excluded, as tested women were explicitly asked in the study about the phase of their menstrual cycle. "Taking the menstrual cycle into consideration could help women to stop smoking," Mendrek said. The findings were published in Psychiatry Journal.
The researchers came to their conclusion by working with 34 men and women who each smoke more than 15 cigarettes a day. They filled out questionnaires and had underwent MRI brain scans, which were taken while they looked at either neutral pictures or pictures designed to make them want to smoke. The women were scanned twice -- once at the beginning of the follicular phase of their menstrual cycle and then again at the mid-luteal phase. Estrogen and progesterone levels were also measured.
Fewer than one ex-smoker in ten manages to stay that way after a year, and women who smoke have a harder time quitting than men, even when they smoke the same amount. In drug studies involving rodents (nicotine and other substances), scientists have observed sex differences. "Female rats become addicted more quickly, and are willing to work harder for the same quantity of dose," Mendrek explained. This observation led Mendrek's team to conclude that females are perhaps at higher risk of addiction, and sex hormones could be the reason why.
The situation is much more difficult to unravel when it comes to humans. Each smoker is unique in terms of his or her tobacco use, personal history, personality, social situation and environment. "Stress, anxiety and depression are probably the more important factors to take into consideration," Mendrek said. "Having said that, amongst young people, tobacco use by women is unfortunately increasing."
The researchers led their study with two specific objectives in mind. The first was to check if there are gender differences in the neronal circuits linked to craving. The second was to determine if the electrocortical changes associated with nicotine withdrawal fluctuate in tandem with hormone variations.
No significant differences were found between the men and women insofar as the neuronal circuits were concerned. However, the activation patterns for the females varied considerably over their menstrual cycle. Certain areas of their frontal, temporal and parietal cortex revealed greater activation during the follicular phase, while limited activation was recorded in the hippocamp during the luteal phase.
Mendrek hopes her conclusions will encourage researchers to pay greater attention to biology when designing their research protocols. "A greater knowledge of the neurobiological mechanisms governing addiction should enable us to better target treatment according to the smokers profile," she said.
Note: Material may have been edited for length and content. For further information, please contact the cited source.
Adrianna Mendrek, Laurence Dinh-Williams, Josiane Bourque, Stéphane Potvin. Sex Differences and Menstrual Cycle Phase-Dependent Modulation of Craving for Cigarette: An fMRI Pilot Study. Psychiatry Journal, Published November 13 2014. doi: 10.1155/2014/723632
Computer bits are binary, with a value of 0 or 1. By contrast, neurons in the brain can have all kinds of different internal states, depending on the input that they received. This allows the brain to process information in a more energy-efficient manner than a computer. A new study hopes to bring the two closer together.