A comprehensive evaluation of predictors of obesity in women during the perimenopausal period: A systematic review and narrative synthesis.

INTRODUCTION: Obesity during perimenopausal transition can be attributed to various factors. Identifying these factors is crucial in preventing obesity and developing effective strategies to manage weight during this phase. This review aimed to systematically understand predictors of obesity during menopausal transition. METHODS: The review followed the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines and searched databases like PubMed, Wiley Online Library, and Cochrane Reviews. Cohort and cross-sectional studies in English language assessing obesity among menopausal women were included. The methodological quality was assessed using Joanna Briggs Checklist for critical appraisal. Risk of Bias (RoB) was generated using Review Manager 5.4.1 (RevMan). Identified predictors were assessed for overall quality of evidence using adopted Grading of Recommendations Assessment, Development and Evaluation (GRADE) approach. RESULTS: This review encompassed 42 studies, (21 cross-sectional and 21 cohort) with sample ranging from 164 to 107,243 across studies. Higher parity( ≥ 3 children) emerged as a strong predictor of obesity across seven studies, with good-quality evidence. Lower physical activity was another predictor, supported by eight studies with good-quality evidence. Sociodemographic factors like lower education(<8 years or < than college degree), socioeconomic background, menopausal transition, and older age at menarche showed associations with weight gain, with moderate-quality evidence. Lifestyle factors (high-fat consumption, sedentariness, active smoking status, and psychological difficulties) also showed moderate-quality evidence. CONCLUSION: This review underscores the multifaceted factors associated with obesity during the perimenopausal transition. Identifying these factors will be helpful in prevention and management of obesity among these women.

A Survey on Relation of Menopause to Metabolic Syndrome - SAFOMS STUDY (South Asian Federation of Menopause Societies) - Interim Analysis.

Background: Metabolic syndrome (MS) is a spectrum of disorders that includes dysglycemia, dyslipidemia, central obesity, and hypertension. South Asian Indians are more prone to harbor MS at a younger age compared to Caucasians. However, there is a lack of large-scale data correlating menopause to MS in South Asian settings. Aims and Objectives: The study aimed to determine the prevalence of MS and its components in pre- and postmenopausal women. It also assessed the relationship of age, menopausal status, personal and family history, anthropometric parameters, and biochemical markers to MS. Materials and Methods: It was an interim analysis of a multicountry cross-sectional study in the South Asian Federation of Menopause Society (SAFOMS) countries: India, Pakistan, Bangladesh, Nepal, and Sri Lanka conducted through both online and physical methods. The survey questionnaire consisted of questions about details of personal history, demographics, and family history related to MS. Anthropometric measurements such as height, weight, basal metabolic index (BMI), waist circumference, and blood pressure readings were noted. Relevant history, history of polycystic ovarian syndrome, hypertensive disorders of pregnancy, and vasomotor symptoms were enquired. Biochemical evaluation of markers associated with MS was undertaken. Results: In this interim analysis, 638 women were recruited. Out of them, 406 (63.6%) women were premenopausal and 232 (36.4%) were postmenopausal. 392 (61.4%) women had MS, while 246 (38.6%) women did not have MS. Increasing age, BMI, and visceral adiposity (waist circumference) were significantly correlated with incidence of MS. Raised fasting blood sugar, hemoglobin A1C, total cholesterol, low-density lipoprotein, serum triglyceride, and reduced high-density lipoprotein levels were significantly associated with the incidence of MS in both pre- and postmenopausal women. Peri- and postmenopausal hot flashes, night sweats, and sleep disturbances were also significantly associated with MS. Personal history of hypertension, diabetes, and dyslipidemia were the strongest factors to be associated with MS with a significantly high odds ratio. Conclusion: The study has highlighted the role of BMI and waist circumference as the first warning signs, which will encourage to go for regular biochemical screening through lipid profile and fasting blood glucose measurements. Our study is a stepping stone for all future studies for relation of menopause to MS.

Executive Summary of Evidence and Consensus-Based Clinical Practice Guidelines for Management of Obesity and Overweight in Midlife Women: An AIIMS-DST Initiative.

Weight gain is an independent risk factor for decline in cardiometabolic and overall health-related quality of life in midlife women. The AIIMS-DST initiative aims to develop and validate stepwise recommendations specific for weight management in midlife women. The key clinical questions specific to weight management in midlife women were finalized with the help of a multidisciplinary team of experts in the guideline development group. Phase I including a systematic and/or narrative review, grading of evidence, and expert opinion was sought to develop clinical practice recommendations for each clinical question. Phase II focused on validation of clinical practice recommendations using the peer-review, Delphi method, and GRADE approach. The guidelines provide clinical practice points to address challenges encountered by midlife women in their attempts to manage obesity via lifestyle modification techniques. The initiation of discussion would help the health-care provider to identify the weight management needs of the women, educate women on different modalities of weight management, and empower them to incorporate corrective lifestyle behaviors. Before initiating the management, a comprehensive assessment of clinical and lifestyle-related parameters should be completed. A personalized behavioral lifestyle modification program addressing the midlife-specific barriers for optimal metabolic, musculoskeletal, and mental health should be planned. A consistent follow-up is required for maintenance of corrective eating and activity habits by addressing midlife-specific barriers for sustenance of healthy weight. These recommendations will be useful in opportunistic screening and management of obesity in midlife women across health-care settings.

Executive summary of evidence and consensus-based Clinical Practice Guidelines for management of obesity and overweight in midlife women: An AIIMS-DST initiative.

BACKGROUND AND AIMS: Weight gain is an independent risk factor for decline in cardiometabolic and overall health-related quality of life in midlife women. The AIIMS-DST initiative aims to develop and validate stepwise recommendations specific for weight management in midlife women. METHODS: The key clinical questions specific to weight management in midlife women were finalised with the help of a multidisciplinary team of experts in the guideline development group (GDG). Phase I included a systematic and/or narrative review to gather evidence, grading of evidence and expert opinion was sought to develop clinical practice recommendations for each clinical question. Phase II focused on validation of clinical practice recommendations using the peer-review, Delphi method and GRADE approach. RESULTS: -The guidelines provide clinical practice points to address challenges encountered by midlife women in their attempts to manage obesity via lifestyle modification techniques. The initiation of discussion would help the healthcare provider to identify the weight management needs of the women, educate women on different modalities of weight management, and empower them to incorporate corrective lifestyle behaviours. Before initiating the management, a comprehensive assessment of clinical and lifestylerelated parameters should be completed. A personalised behavioural lifestyle modification program addressing the midlife specific barriers for optimal metabolic, musculoskeletal, and mental health should be planned. A consistent follow-up is required for maintenance of corrective eating and activity habits by addressing midlife specific barriers for sustenance of healthy weight. CONCLUSION: These recommendations will be useful in opportunistic screening and management of obesity in midlife women across healthcare settings.

Effects of Menopause on Sexual Function in Indian Women: A McCoy's Questionnaire-Based Assessment.

BACKGROUND: Menopause is associated with physical, physiological, psychological changes and may lead to sexual dysfunction (SD) effecting woman's health and well-being. Scientific research in the area of female sexuality in India is scant. Therefore, this study aimed to investigate female sexual function at perimenopause and menopause and determine the association between sociodemographic and physiological factors with sexual function. MATERIALS AND METHODS: This was a cross-sectional hospital-based study carried out in perimenopausal and menopausal women. Study participant's details were collected by gynecologists and clinical research professionals following the participant's informed consent. The case report and McCoy female sexuality questionnaire were used. The association between sociodemographic status and sexual function was determined. Data were summarized using descriptive statistics for portraying profile of the participants and t-test for comparison. RESULTS: A total of 129 women in the menopausal (SD - 3.26) and 112 in the premenopausal group (SD - 6.01) were enrolled. The sociodemographic parameters did not significantly affect the sexual function scores in both groups. In terms of vaginal atrophy, a significant increase in urgency was noted in the postmenopause group. The general domain of sexual function was significantly lower in menopausal than and perimenopausal with a P < 0.001. Looking at individual domains of sexual function, for sexual interest, satisfaction, vaginal lubrication, and orgasm, the mean value of perimenopausal participants was significantly higher when compared to menopausal women; for a primary partner domain, no significant differences between the two groups were noted. CONCLUSION: Overall, the sociodemographic profile did not impact sexual function in this study. Compared with menopausal women, perimenopausal women showed better, more complete sexual function based on McCoy's score except partner-related domain that is constant from perimenopause to menopause in a monogamous relationship.

Age of menopause and determinants of menopause age: A PAN India survey by IMS.

INTRODUCTION: Age of menopause is a very important biomarker of not only the loss of fertility but also an increased risk for various mid-life diseases and problems. Many of these diseases can be prevented by timely intervention of lifestyle modification, menopausal hormone therapy, or other supplementations such as calcium, Vitamin D, and micronutrients. In India age of menopause is less than our counterparts in the Western world. This means that the fertility potential of Indian women starts compromising early, so we need to start with the preventive measures much early. Earlier studies in India have been done on a limited population, and small sample size and not all the determinants of menopause age were considered. MATERIALS AND METHODS: Survey was conducted in 21 chapters of Indian Menopause Society and all regions South, West, East and North were covered. There were 23 Medical practitioners who participated. Consent was taken and inclusion and exclusion criteria was set. Set questions were asked The questionnaire comprised of identification of the participants' religion, education, and various socioeconomic parameters. They were also inquired about their marital and parity status, abortion, or contraceptive use. The menopausal women were asked their menopause age and whether it was natural or surgical. The perimenopausal women were asked to enlist the date of their last period. All women with <1 year to menopause were classified as perimenopausal. The height, weight, and waist circumference were noted for all the women, and body mass index (BMI) was calculated. The women were also inquired about their food habits and social habits including alcohol consumption or smoking. Hence, this study was planned as a PAN India study. RESULTS: Average age of menopause of an Indian woman is 46.2 years much less than their Western counter parts (51 years). A definite rural and urban division was also seen. There was a correlation between the age of menopause and social and economic status, married status, and parity status.