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Objective: The aim of the study was to evaluate the association between waist-to-height ratio (WHtR) and anxiety in middle-aged women., Methods: We carried out a secondary analysis of data from a multicenter study of women between 40 and 59 years old from 11 Latin America countries. Anxiety was assessed using the Goldberg Anxiety and Depression Scale. WHtR was calculated according to World Health Organization standards and categorized in tertiles: upper, middle, and lower using 0.45 and 0.6 as cutoff values. Prevalence ratios (PRs) and 95% CIs were calculated by generalized linear models of Poisson family with robust standard errors, both crude and adjusted models based on statistical and epidemiological criteria., Results: Data of a total of 5,580 women were analyzed. Mean age was 49.7 ± 5.5 years, and 57.9% were postmenopausal. The 61.3% of women had anxiety and mean WHtR was 0.54 ± 0.1. In the crude model, compared with women in lower tertile, those in the middle (PR: 1.07; 95% CI, 1.01-1.13) and upper (PR: 1.23 95% CI, 1.07-1.29) WHtR tertile were significantly more likely to have anxiety. In the adjusted models, only women in upper tertile were, however, more likely of displaying anxiety than those in lower tertile (PR: 1.13; 95% CI, 1.08-1.18)., Conclusions: In this series, WHtR was associated with anxiety in middle-aged women. It is advisable to further study this anthropometric measure in order for it to be incorporated in the routine clinical practice and evaluation of middle-aged women.

Objective: To evaluate associations between anxiety and severe impairment of quality of life (QoL) in Latin American postmenopausal women., Methods: This was a secondary analysis of a multicenter cross-sectional study among postmenopausal women aged 40 to 59 from 11 Latin American countries. We evaluated anxiety (The Goldberg Depression and Anxiety Scale), and QoL (Menopause Rating Scale [MRS]), and included sociodemographic, clinical, lifestyle, and anthropometric variables in the analysis. Poisson family generalized linear models with robust standard errors were used to estimate prevalence ratios (PRs) and 95% CIs. There were two adjusted models: a statistical model that included variables associated with the outcomes in bivariate analyses, and an epidemiologic model that included potentially confounding variables from literature review., Results: Data from 3,503 women were included; 61.9% had anxiety (Goldberg). Severe QoL impairment (total MRS score ≥17) was present in 13.7% of women, as well as severe symptoms (MRS subscales): urogenital (25.5%), psychological (18.5%), and somatic (4.5%). Anxiety was independently associated with severe QoL impairment and severe symptoms in the epidemiological (MRS total score: PR 3.6, 95% CI, 2.6-5.0; somatic: 5.1, 95% CI, 2.6-10.1; psychological: 2.8, 95% CI, 2.2-3.6; and urogenital: 1.4, 95% CI, 1.2-1.6) and the statistical model (MRS total score: PR 3.5, 95% CI, 2.6-4.9; somatic: 5.0, 95% CI, 2.5-9.9; psychological: 2.9, 95% CI, 2.2-3.7; and urogenital: 1.4; 95% CI, 1.2-1.6)., Conclusions: In this postmenopausal Latin American sample, anxiety was independently associated with severe QoL impairment. Hence, screening for anxiety in this population is important.

Abstract: Background: Although sleep disturbances are common during female mid-life, few studies have described in detail the prevalence of this problem and related risk factors. Objective: To determine the prevalence of sleep disturbances in mid-aged women using validated tools. Assessment of determinants capable of influencing the prevalence of insomnia and poor sleep quality was also performed. Methods: A total of 6079 women aged 40–59 of 11 Latin American countries were invited to fill out the Athens Insomnia Scale (AIS), the Pittsburgh Sleep Quality Index (PSQI), the Goldberg Anxiety and Depression Scale, the Menopause Rating Scale (MRS), the Brief Scale of Abnormal Drinking and a general socio-demographic questionnaire. Results: Overall, 56.6% of surveyed women suffered of either insomnia, poor sleep quality, or both. Specifically, 43.6% and 46.2% presented insomnia and poor sleep quality in accordance to the AIS and the PSQI respectively. The prevalence of insomnia increased with female age (from 39.7% in those aged 40–44 to 45.2% in those aged 55–59, p <0.0001) and menopausal stage (from 39.5% in premenopausal aged 40–44 to 46.3% in late postmenopausal ones, p <0.0001). “Awakening during the night” (AIS: Item 2) was the most highly rated of all items and contributing in a higher degree (mean 16%) to the total score of the scale in all menopausal phases. Sleep quality also worsened with age and menopausal status, impairment particularly affecting sleep efficiency and latency and the increased use of hypnotics. Vasomotor symptoms (VMS), depressive mood and anxiety were associated to sleep disturbances. Women presenting sleep disturbances displayed a 2-fold increase in the severity of menopausal symptoms (higher total MRS scores) which was translated into a 6–8 times higher risk of impaired quality of life. Logistic regression analysis determined that female age, the presence of chronic disease, troublesome drinking, anxiety, depression, VMS, drug use (hypnotics and hormone therapy) were significant risk factors related to the presence of sleep disturbances. Higher educational level related to less insomnia and better sleep quality. Conclusion: Insomnia and poor sleep quality were highly prevalent in this mid-aged female sample in which the influence of age and the menopause was only modest and rather linked to menopausal symptoms already occurring since the premenopause. [Copyright &y& Elsevier]