Depression, Anxiety, and Stress Symptoms in Menopausal Arab Women: Shedding More Light on a Complex Relationship

Global prevalence of depression in menopausal women: A systematic review and meta-analysis

BACKGROUND

An association between the menopause and depression is widely reported. This review aims to determine the global prevalence of depression in menopausal women (this includes women in perimenopause and postmenopause).

METHODS

PubMed, Web of Science, Embase, and PsycINFO databases were systematically searched from database inception until March 1, 2024. Studies with validated methods for assessing the prevalence of depression in perimenopausal and postmenopausal women were included. Two authors independently extracted relevant data. Random effects meta-analysis and Meta-regression analysis were performed using Stata software.

RESULTS

Total of 55 studies (76,817 participants) were included in the review. A random effects model was used to calculate pooled prevalence. The pooled depression prevalence in menopausal women was 35.6 % (95 % CI: 32.0-39.2 %), with 33.9 % (95 % CI: 27.8-40.0 %) in perimenopausal women, and 34.9 % (95 % CI: 30.7-39.1 %) in postmenopausal women. Subgroup analyses indicated that region, screening tool, study design, and setting moderated the prevalence of depression. Meta-regression indicated that smaller sample sizes and poorer study quality were significantly associated with a higher prevalence.

LIMITATIONS

There was a high degree of heterogeneity across the included studies. Only articles published in English were included. There was significant publication bias in this meta-analysis. There is insufficient information about many risk factors of menopausal depression in current meta-analysis.

CONCLUSIONS

Depression is common among menopausal women worldwide. To reduce the negative impact of depression on health outcomes in menopausal women, regular screening and the availability of effective prevention and treatment measures should be made available for this population.

Development and psychometric properties of the Stressors in Breast Cancer Scale

Background

A diagnosis of breast cancer generates psychological stress, due not only to treatment and its side effects but also to the impact on different areas of the patient’s daily life. Although there are instruments for measuring psychological stress in the cancer context, there is currently no tool for assessing stressors specific to breast cancer.

Aims

The aim of this study was to develop the Stressors in Breast Cancer Scale (SBCS).

Method

A panel of experts evaluated the clarity and relevance of scale items, providing validity evidence based on test content. Psychometric properties of the scale were then analyzed.

Results

Validity evidence based on the internal structure of the SBCS was obtained through exploratory factor analysis (EFA) and confirmatory factor analysis (CFA), following a cross-validation strategy. The CFA supported a second-order factor model with five dimensions: physical appearance and sex strains, health and daily difficulties, interpersonal relationship strains, healthcare strains, and worries and concerns about the future. This structure was invariant across two groups distinguished by time from cancer diagnosis (less than 3 and 3 years or more from diagnosis). Reliability, based on McDonald’s omega and Cronbach’s alpha coefficients, ranged from 0.83 to 0.89 for factor scores, and reached 0.95 for total scores. Validity evidence was also provided by correlations with depression, anxiety, perceived stress, and perceived health and quality of life.

Discussion

The results support the use of the SBCS for measuring stress as a stimulus in the breast cancer context. Implications for clinical practice and research are discussed.

Predictors of age at menopause and psychiatric symptoms among postmenopausal females in Jordan

OBJECTIVE

This study evaluated the impact of various factors on age at natural menopause as well as psychiatric symptoms including anxiety and depression among postmenopausal women in Jordan.

METHODS

A cross-sectional study was conducted and included females with natural menopause (n = 450). A structured interview-based questionnaire was used to collect data about subjects' sociodemographics, health, reproductive and environmental factors. Hospital anxiety and depression scale (HADS) was used to assess psychiatric symptoms. Factors associated with age at natural menopause, depression, or anxiety were identified.

RESULTS

The mean age at natural menopause was 49.5 ± 4.8 years. Mothers' age at menopause, the regularity of cycles, age at last pregnancy and diabetes were significant positive predictors of age at menopause (p < 0.05). The mean anxiety and depressive scores were 6.52 ± 4.26 and 6.77 ± 3.44 respectively. Age, high school education, being nonsmoker and breastfeeding history were inversely associated with anxiety but only cycle length and multiparous were positively associated with anxiety (p < 0.05). While education and being nonsmoker were negatively associated with depression, hypertension was a positive predictor.

CONCLUSIONS

The results reveal several environmental, health, and reproductive predictors of age at menopause or psychiatric symptoms among postmenopausal women in Jordan.

Perceived Stress and Its Determinants among Postmenopausal Women in Urban Puducherry

Background:

Menopause characterized by a gradual decline in ovarian hormones takes its toll on the women both physically and mentally. These health problems can negatively impact the mental status. Hence, the current study was done to determine the level of stress and its associated factors among postmenopausal women in urban Puducherry, India.

Materials and Methods:

A facility-based cross-sectional study was done among 219 postmenopausal women attending the outpatient department in urban primary health center during May 2017–June 2017. Information regarding sociodemographic profile was collected using pretested semi-structured questionnaire and Cohen's Perceived Stress Scale was used to assess the stress level. We calculated adjusted prevalence ratios (aPRs) to identify the determinants of stress.

Results:

Among 219 participants, 46.6% were in the age group of 60–74 years; 32.9% had primary to secondary level of education; 56.2% were unemployed; 42.5% belonged to lower socioeconomic class; and 32.9% had both diabetes mellitus and hypertension. The prevalence of stress among the postmenopausal women was 26.0% (95% confidence interval: 20.7–32.2). Postmenopausal woman with higher education (aPR – 2.18), belonging to nuclear family (aPR – 1.93), lesser parity (aPR – 1.18), and current alcohol/tobacco users (aPR-2.32) were found to have a significant association with stress among the study participants.

Conclusion:

The current study showed that more than one-fourth of the postmenopausal women had high to very high level of stress. Education, religion, parity, and substance abuse were the significant determinants of stress. However, further longitudinal research needs to be done to determine whether the factors informed in the current study are truly associated with stress and develop interventions accordingly.

Preliminary evidence of acylated ghrelin association with depression severity in postmenopausal women

We have previously shown increased depression and anxiety scores in postmenopausal overweight women, when compared to overweight premenopausal women. The mechanisms responsible for these alterations are not understood. Although ghrelin involvement in mood modulation has been suggested, its role is still ambiguous and has not been evaluated in postmenopause. Here we investigated the association of ghrelin with depression and anxiety symptoms in postmenopausal women. Fifty-five postmenopausal women with depression symptoms, who were not in use of hormones or antidepressants, were included in the study. Depression symptoms were evaluated by Beck's Depression Inventory (BDI) and Patient Health Questionnaire-9 (PHQ-9) and anxiety symptoms were evaluated by Beck's Anxiety Inventory (BAI). Women were allocated into three groups, according to BDI classification of mild, moderate, or severe depression symptoms. Anthropometric, biochemical and hormonal parameters were analyzed. Total and acylated ghrelin levels were higher in the severe depression than in the mild depression group. Multivariate regression analyses showed positive associations of BDI scores with acylated ghrelin and BMI, and of PHQ-9 scores with acylated ghrelin and homeostasis model assessment of insulin resistance (HOMA-IR). BAI scores associated positively with waist-to-hip ratio. To the best of our knowledge, this is the first demonstration of an association between acylated ghrelin and the severity of depression symptoms in postmenopausal women. This association may reflect either a physiological response aimed at fighting against depression symptoms or a causal factor of this mental disorder.

Depression, Metabolic Syndrome, Serum TSH, and Vitamin D Concentrations in Rural and Urban Postmenopausal Women

Background and objectives: Depression is a serious problem affecting people worldwide, however it more commonly concerns women. Depression reduces the quality of life and, in many cases, leads to suicide. Numerous new biological factors have been demonstrated to have an impact on the pathogenesis of depression, including vitamin D, thyroid hormones, as well as factors related to heart disease. The aim of the study was to assess the impact of serum thyroid stimulating hormone (TSH) and vitamin D concentrations as well as metabolic syndrome on the severity of depression in Polish postmenopausal women from urban and rural areas. Materials and Methods: The study was conducted in 2018–2019 in the Lublin region, Poland, and comprised 396 postmenopausal women (239 living in rural areas and 157 living in urban areas). Metabolic syndrome criteria according to the International Diabetes Federation and Beck Depression Inventory were used, and laboratory blood tests were performed. Results: A significantly higher percentage of the examined rural residents had moderate or severe depression in comparison to the urban ones (p = 0.049). The examined women from rural areas had a significantly higher serum vitamin D concentration in comparison to the urban ones (p < 0.001). The rural residents more commonly had below-normal levels of serum TSH and less commonly had normal levels in comparison to the urban residents. Metabolic syndrome was found in 70% of the rural residents, and that number was significantly lower in the urban ones (22%, p < 0.001). Conclusions: The severity of depression in postmenopausal Polish women was correlated negatively with the serum TSH concentration in women from rural areas. The severity of depression was increased in urban postmenopausal women with hypertension. No correlation of the depression severity with the serum vitamin D concentration or other criteria of metabolic syndrome was found.

Age and leptinemia association with anxiety and depression symptoms in overweight middle-aged women

OBJECTIVE

The aim of the study was to investigate the effect of menopause and of postmenopausal stages on depression and anxiety symptoms, and whether these symptoms associate with anthropometric, metabolic, and hormonal parameters in midlife women.

METHODS

Postmenopausal women (age 50-65), either at early (EPM, n=33) or late (LPM, n = 23) postmenopause, and 23 premenopausal controls (PreM, age 40-50), matched for BMI with the PM groups, were studied. Blood biochemical and hormonal determinations, bioimpedance anthropometry, and depression and anxiety symptoms (Beck's depression [BDI] and anxiety [BAI] inventories) were conducted.

RESULTS

The BAI score was higher in both PM groups than in the PreM group. In contrast, only the LPM group showed a significantly elevated BDI score. All groups presented overweight and abdominal obesity, having similar BMI and waist/hip ratio values. Both PM groups showed insulin resistance, whereas only the LPM group presented decreased skeletal muscle mass and basal metabolic rate. Correlation analysis, including all 79 middle-aged women, showed age, percentage body fat, waist/hip ratio, and leptinemia to correlate positively with the anxiety and depression scores. Multivariate regression showed leptin and age to associate positively with depressive- and anxious-like symptoms.

CONCLUSIONS

Postmenopausal women presented impaired body composition, energy expenditure, insulin sensitivity, and mental symptoms, in comparison to similarly overweight premenopausal women. Among all the overweight midlife women, these symptoms were more strongly associated with age and leptin levels than with reproductive aging itself. The data indicate that, among overweight middle-aged women with abdominal obesity, the aging process and the development of leptin resistance are associated with impairment of mental health.

Searching for predictors of sense of quality of health: A study using neural networks on a sample of perimenopausal women

BACKGROUND

We assumed that perimenopausal women's sense of quality of health (SQH) is a subjective evaluation of their psycho-physical health, and comprises three dimensions: sense of quality of life, menopausal symptoms, and the level of positive and negative affect.

PURPOSE

The aim of the study was to: 1) test a model about SQH, and 2) explore the role of personality traits, self-esteem, body self, and self-stereotype as predictors of SQH.

METHODS

The sample included 201 women aged between 45 and 55 (50.11±3.07). Participants filled out the Rosenberg Self-Esteem Scale, the Personality Inventory based on the Big Five Factor Model, the Body Self Questionnaire, and a survey querying perimenopausal women's self-stereotype. To determine the individual SQH dimensions we used the Sense of Quality of Life Questionnaire, the Menopause Symptom List, and the Positive and Negative Affect Schedule. To verify the assumptions of the SQH model and look for SQH predictors we conducted a neural networks analysis with structure optimization via genetic algorithms (a multivariate analysis).

RESULTS

The SQH model was verified in the course of several neural networks analyses with structure optimization via genetic algorithms (R = 0.849, R2 = 0.723, F = 133,232, p < 0.01). Moreover, we confirmed that SQH comprised three dimensions: quality of life, menopausal symptoms, and affect. SQH and menopausal symptoms were correlated. Similarly, positive and negative affect modified the women's global sense of quality of life. SQH predictors included: personality traits, self-esteem, the body-self, and menopausal woman's self-stereotype.

CONCLUSION

In practical terms, our findings may help raise awareness among women and medical practitioners, calling for a holistic approach to the health of menopausal women. Our findings may also facilitate the creation of both prevention and therapeutic programs for women transitioning through menopause, for example, cognitive-behavioral therapy.

Analysis of Sociodemographic, Psychological, and Genetic Factors Contributing to Depressive symptoms in Pre-, Peri- and Postmenopausal Women

Depressive symptoms that are faced by women in the pre-, peri-, and postmenopausal periods are determined by a wide array of sociodemographic, psychological, and biological variables. The aim of our study was to identify factors that contribute to depressive problems at this stage of life. The study included 815 healthy Polish women aged 45–60 years. The survey part was conducted using the Beck Depression Inventory (BDI), the State–Trait Anxiety Inventory (STAI), the Neuroticism–Extroversion–Openness Five Factor Inventory (NEO-FFI), and a self-developed questionnaire. Genetic analysis was also performed. Depressive symptoms were observed in 25.5% of participants. 70% of the women were postmenopausal. No statistically significant differences in the severity of depressive symptoms were demonstrated with regard to genetic variables (p > 0.05). Reproductive capacity (p < 0.001), employment (p < 0.001), and being married (p < 0.018) were found to reduce the incidence of depressive symptoms. The contribution of personality and anxiety as a trait to depressive symptoms varied. Conclusions: The factors predisposing pre-, peri-, and postmenopausal women to depressive symptoms include lower education, lack of a life partner, unemployment, high anxiety, and neurotic personality. No evidence was found for the contribution of genetic factors to depressive symptoms in the examined women.