Systematic review and narrative synthesis of cognition in perimenopause: The role of risk factors and menopausal symptoms

Zhu, Chen; Thomas, Natalie; Arunogiri, Shalini; Gurvich, Caroline

doi:10.1016/j.maturitas.2022.06.010

Cited by 10 publications

(7 citation statements)

References 48 publications

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“…6,7,10) from Retrieval factor, all items(8,9,11,13) loading onto the Attentional factor, as well as attentional subscale score and total EMQ-R score were not significantly different across different menopausal groups. Detailed ANOVA and MANCOVA results were represented in Supplementary Table.…”

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confidence: 84%

“…3,[6][7][8] Other than objective measures of cognition 6,9 , subjective cognitive problems are also predicted by lifestyle factors (e.g., dietary habit, physical exercise), psychosocial variables (e.g., anxiety, depression, attitude towards menopause), and vasomotor symptoms (e.g., hot flashes, night sweats, sleep disturbance). 2,3,10 The term 'brain fog' has been widely used in recent years in both popular literature and scientific research to describe subjective cognitive symptoms during the menopause transition. Consistent with the recent work 11,12 , this paper defines the brain fog as the constellation of subjective cognitive symptoms reported by women with a particular focus on memory and attention complaints.…”

Section: Introductionmentioning

confidence: 99%

“…3,6-8 Other than objective measures of cognition 6,9 , subjective cognitive problems are also predicted by lifestyle factors (e.g., dietary habit, physical exercise), psychosocial variables (e.g., anxiety, depression, attitude towards menopause), and vasomotor symptoms (e.g., hot flashes, night sweats, sleep disturbance). 2,3,10…”

Section: Introductionmentioning

confidence: 99%

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Evaluation of The Everyday Memory Questionnaire-Revised in Menopausal Population: Understanding the Brain Fog During Menopause

Zhu

Thomas

et al. 2023

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Introduction: Brain fog (i.e., memory complaints and concentration difficulties) is frequently reported during the menopausal transition. There is lack of standardized scales available to measure brain fog across the menopause transition. This study aimed to evaluate the factor structure of the Everyday Memory Questionnaire-Revised (EMQ-R) and to determine the most commonly reported everyday cognitive symptoms in a menopausal population. Methods: 417 females, including 107 pre-menopausal, 149 peri-menopausal, and 161 early post-menopausal, met criteria and were included in the analyses. Memory and attention related symptoms were measured using the EMQ-R. Confirmatory factor analysis (CFA) was conducted to test the model fit of the bifactor structure (attentional and retrieval) of the EMQ-R in menopausal populations and evaluated by Cronbach's alpha test. One way ANOVA and MANCOVA were used to investigate the group differences of individual items and two subscales. Results: CFA indicated that the bifactor model (retrieval and attentional) of the EMQ-R has a good fit in all three groups. A significant difference (with the highest mean score observed in peri-menopausal group) was identified in the retrieval subscale score (F=3.17, p=0.043) but not in the attentional subscale or total scores amongst the three groups. Items (1, 3, 5) related to daily information retrieval problems were significantly reported in the peri-menopausal group. Discussion: The EMQ-R serves as an instrument to measure memory and attention symptoms, referred to as 'brain fog' in menopause. Increased memory retrieval complaints reported by peri-menopausal group suggests a transition-related memory retrieval dysfunction during menopausal transition.

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confidence: 84%

Section: Introductionmentioning

confidence: 99%

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Evaluation of The Everyday Memory Questionnaire-Revised in Menopausal Population: Understanding the Brain Fog During Menopause

Zhu

Thomas

et al. 2023

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“…In addition, associations between subjective complaints and objective measurements of cognition further support the women's accurate appraisals of their cognitive complaints experienced in daily life and their influences on daily functioning 3,6-8 . Other than objective measures of cognition, 6,9 subjective cognitive problems are also predicted by lifestyle factors (eg, dietary habit and physical exercise), psychosocial variables (eg, anxiety, depression, and attitude toward menopause), and vasomotor symptoms (eg, hot flashes, night sweats, and sleep disturbance) 2,3,10 …”

mentioning

confidence: 88%

“…3,[6][7][8] Other than objective measures of cognition, 6,9 subjective cognitive problems are also predicted by lifestyle factors (eg, dietary habit and physical exercise), psychosocial variables (eg, anxiety, depression, and attitude toward menopause), and vasomotor symptoms (eg, hot flashes, night sweats, and sleep disturbance). 2,3,10 The term "brain fog" has been widely used in recent years in both popular literature and scientific research to describe subjective cognitive symptoms during the menopause transition. Consistent with the recent work, 11,12 this article defines brain fog as the constellation of subjective cognitive symptoms reported by women with a particular focus on memory and attention complaints.…”

mentioning

confidence: 99%

Evaluation of the Everyday Memory Questionnaire-Revised in a menopausal population: understanding the brain fog during menopause

Zhu,

Thomas,

et al. 2023

Menopause

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Objective Brain fog (ie, memory complaints and concentration difficulties) is frequently reported during the menopausal transition. There is lack of standardized scales available to measure brain fog across the menopausal transition. This study aimed to evaluate the factor structure of the Everyday Memory Questionnaire-Revised (EMQ-R) and to determine the most commonly reported everyday cognitive symptoms in a menopausal population. Methods Four hundred seventeen eligible women aged from 40 to 60 years (107 premenopausal, 149 perimenopausal, and 161 early postmenopausal) were recruited from the general community and were included in the analyses. Confirmatory factor analysis was conducted to test the model fit of the bifactor structure (ie, 4-item attentional subscale ranged 0-16, 7-item retrieval subscale ranged 0-28) of the 13-item EMQ-R (ranged 0-52) in a menopausal populations. Typical items in the retrieval subscale include “difficulty finding words,” the attentional subscale include “difficulty following the thread of a story,” and analysis of variance and multivariate analysis of covariance were used to investigate the group differences of individual items and two subscales. Results Confirmatory factor analysis indicated the bifactor structure of the EMQ-R has a good fit in all three groups. A significant difference was identified in the mean retrieval scores (pre: 11.8, peri: 13.6, early post: 11.7) but not in the mean attentional scores (pre: 4.53, peri: 5.01, early post: 4.65). Conclusions The EMQ-R retrieval subscale may serve as a potential instrument to assess memory retrieval symptoms that contribute to “brain fog” in menopause. Increased memory retrieval complaints reported by the perimenopausal group suggests a transition-related memory retrieval dysfunction during menopausal transition.

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Cognitive Problems in Perimenopause: A Review of Recent Evidence

Metcalf,

Duffy,

Page

et al. 2023

Curr Psychiatry Rep

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Systematic review and narrative synthesis of cognition in perimenopause: The role of risk factors and menopausal symptoms

Cited by 10 publications

References 48 publications

Evaluation of The Everyday Memory Questionnaire-Revised in Menopausal Population: Understanding the Brain Fog During Menopause

Evaluation of The Everyday Memory Questionnaire-Revised in Menopausal Population: Understanding the Brain Fog During Menopause

Evaluation of the Everyday Memory Questionnaire-Revised in a menopausal population: understanding the brain fog during menopause

Cognitive Problems in Perimenopause: A Review of Recent Evidence

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