Background: Menopause, a natural physiological transition, encompasses a range of physical and psychological changes that can impact women's quality of life. This study aims to investigate the prevalence of menopausal symptoms, awareness levels and acceptance of changes among women in urban and rural settings, shedding light on the complexities of this life phase. Materials and Methods: A cross-sectional observational study was conducted in the urban and rural areas of Solan district, Himachal Pradesh. A self-structured questionnaire was used to collect data on demographic variables, menopausal symptoms, sources of awareness and acceptance of changes. Data analysis involved descriptive statistics, Chi-Square tests and t-tests. Results: The study comprised 400 postmenopausal women (200 from each setting). The mean age at menopause was 51.52 years (rural) and 51.04 years (urban). The majority of subjects were married (98.5% rural, 98.5% urban) and had a parity range of 2-4. Socio-economic status showed significant differences, with 75.5% rural subjects above the poverty line compared to 93% urban subjects. Education levels varied, with higher illiteracy rates in urban areas (24% rural, 27% urban). Awareness was primarily gained from family and friends in both settings (92% rural, 98.5% urban). Common symptoms included hot flashes (74% rural, 77.5% urban), anxiety (36% rural, 32.5% urban) and urinary symptoms (7.5% rural, 3% urban). Acceptance of menopausal changes was high (74% rural, 74.5% urban). Significant disparities existed in symptom distribution, source of awareness and socio-demographic factors between the two settings. Conclusion: This study highlights the diverse menopausal experiences of women in urban and rural areas, emphasizing the influence of socio-cultural, economic and demographic factors on their quality of life. Tailored interventions, awareness campaigns, improved healthcare access and open dialogue are recommended to empower women during this life transition.
The phase of menopause marks a significant transition in a woman's life, bringing about a cessation of menstruation due to the loss of ovarian function. This natural biological process entails a wide range of symptoms that encompass vasomotor, sexual, somatic and psychological changes, ultimately impacting the quality of life of affected women. As the global life expectancy continues to rise due to improved healthcare and nutrition, menopause has emerged as a major research area. The adoption of activities aligned with the Millennium Development Goals seeks to enhance the quality of life for postmenopausal women. The prevalence of menopausal symptoms varies across studies, influenced by a myriad of factors including physical changes, cultural considerations, individual beliefs and societal expectations [1-3].
The physical symptoms associated with menopause include weaknesses, internal heat, body aches, dizziness, sweating and urinary incontinence. Vaginal symptoms encompass dryness, pain, itching and dyspareunia, while sexual issues such as libido loss and primary sleep disorders are common. Alongside these physical changes, psychological symptoms like forgetfulness, irritability, sleeplessness, headache and anxiety further contribute to the complexity of the menopausal experience. The impact of menopause extends beyond its symptoms, potentially leading to significant health implications such as cardiovascular diseases and osteoporosis. The Menopause Rating Scale (MRS) serves as a tool to quantify symptom severity and its correlation with health-related quality of life (HRQOL), providing a comprehensive assessment of postmenopausal women's well-being [4-6].
Quality of life (QoL), as defined by the World Health Organization, encompasses an individual's perceptions of their position within society, their goals, expectations and concerns within cultural and value frameworks. This multidimensional concept is influenced by physical health, psychological well-being, independence, social interactions and personal perspectives, creating a complex interplay that shapes the overall well-being of individuals. Recognizing the increased life expectancy worldwide, particularly among postmenopausal women, underscores the public health significance of enhancing their quality of life. Menopause introduces various dimensions such as physical, psychological and social changes, all of which influence the QoL of women in this stage of life [7-9].
Despite its transformative nature, menopause often goes unrecognized and underaddressed, leading to suboptimal management of its symptoms. Factors such as perceived cause of symptoms, severity, socio-cultural influences, healthcare accessibility, economic profile, literacy level and quality of healthcare facilities contribute to the disparities in symptom management. The global awareness of menopausal issues has spurred research and interventions to disseminate knowledge about menopause-related problems. "World Menopause Day" on October 18th serves as a platform to raise awareness and disseminate information about menopausal health and available resources. Despite these efforts, there remains a dearth of specific government policies tailored to the needs of this vulnerable demographic [10,11].
This study aims to address the gap in understanding menopausal symptoms and their management within both urban and rural settings of Solan district, Himachal Pradesh. The study intends to bridge the knowledge gap in menopausal symptomatology within the district, enabling healthcare providers and stakeholders to offer tailored support to postmenopausal women, thereby improving their overall quality of life.
Aims and Objectives
Aims: This study aims to focus on evaluating the quality of life among women in the post-menopausal age group.
Objectives
To assess the association between selected demographic variables and the level of knowledge about menopause among postmenopausal women
To compare the quality of life of post-menopausal women residing in rural and urban settings
Study Area
The study was conducted within the rural and urban areas affiliated with the Department of Community Medicine at Maharishi Markandeshwar Medical College and Hospital (MMMCandH), Kumarhatti, Solan.
Study Design
The research employed a descriptive, cross-sectional, observational design with a community-based approach.
Study Time
The study duration was twelve months, conducted after obtaining ethical clearance from the institutional ethics committee (Letter no. 417 MMMCH/IEC/21-417 dated 23-7-2021).
Selection of Patients
Inclusion Criteria
Postmenopausal women who experienced menopause within five years of the study initiation
Postmenopausal women who provided written informed consent to participate in the study
Postmenopausal women residing in the study area for over six months
Exclusion Criteria
Women who experienced unnatural menopause due to factors such as hysterectomy, chemotherapy, radiation, metabolic disorders, or primary ovarian insufficiency
Critically ill postmenopausal women
Women who declined to provide consent
Sample Size
The study sample size was determined based on the prevalence of menopausal symptoms in the country, which is reported as 80%, with reference to a study published in the Indian Journal of Community Medicine on January 14, 2020 (n = 400).
Study Tool
A self-structured, easily comprehensible questionnaire was employed to assess the quality of life of postmenopausal women. The questionnaire included sections covering general demographic profiles (socioeconomic status, education, age at menopause onset, urban/rural setting), along with four domains: physical, psychological, vasomotor and sex-related problems. The tool also examined various symptoms influencing the quality of life for postmenopausal women and was pretested before its application.
Data Collection Method
The study encompassed both the Urban Health Training Centre (UHTC) in Solan city and the Rural Health Training Centre (RHTC) in village Joharji, both under the jurisdiction of the Department of Community Medicine at MMMCandH Kumarhatti Solan. Equal participation was ensured from each unit (200 from urban and 200 from rural settings). Households in the selected areas were randomly sampled and a house-to-house survey was conducted. Eligible postmenopausal women were identified and invited to participate. After obtaining their willingness, they were enrolled and interviewed using a self-designed, semi-structured pre-tested questionnaire to assess their condition and knowledge.
Statistical Analysis
Statistical analysis was performed using SPSS 25.0 (IBM, Trial ware, USA). Descriptive statistics were used for quantitative variables, with central tendency measures employed for normally distributed data. Qualitative variables were described in terms of frequencies and proportions. Unpaired t-tests and Chi-Square tests were used for normally distributed continuous variables and categorical variables, respectively. All data were presented in tables and graphs, with statistical significance set at α = 0.05.
Ethical Justification
Informed, voluntary and written consent was obtained from each participant in a language understood by them. Participants had the right to withdraw from the study at any point, with no impact on their treatment. The study adhered to the guidelines of the Indian Council of Medical Research (ICMR) and the Helsinki Declaration, ensuring patient autonomy, confidentiality and respect throughout the research process.
In the present study, we explored the distribution of menopausal symptoms, awareness levels and the acceptance of these changes among women in both rural and urban settings.
The average age of subjects in rural areas is 51.52 years with a standard deviation of 4.24 and in urban areas, it's 51.04 years with a standard deviation of 4.08. The p-value of 0.553 suggests that there's no statistically significant difference in the mean age between rural and urban areas. The majority of subjects are married, with 98.5% in both rural and urban areas. The p-value of 0.999 indicates that there's no significant difference in marital status between the two groups. There's a significant difference in parity between rural and urban areas (p = 0.036*). Specifically, in the 0-1 parity group, 11.5% of rural subjects and 17% of urban subjects fall, suggesting a higher parity rate in urban areas. There's a substantial difference in socioeconomic status between rural and urban areas (p = 0.0001***). 75.5% of rural subjects are above the poverty line, while 93% of urban subjects are above the poverty line. Education levels differ significantly between the two areas (p = 0.000***). A higher proportion of urban subjects have completed higher levels of education compared to rural subjects. There's no significant difference in occupation between rural and urban areas (p = 0.549). The majority of subjects in both areas are homemakers (Table 1).
The average number of years since menopause in rural areas is 3.33 years and in urban areas, it's 2.70 years. Although the difference seems notable, the p-value of 0.166 suggests that it's not statistically significant.The distribution of years since menopause differs significantly between rural and urban areas (p = 0.0001***). More urban subjects fall into the 2-year category, while more rural subjects are distributed across the other categories (Table 2).
Table 1: Distribution of Study Subjects According to Socio-Demographic Variables
| Variable | Subdomain | Rural | Urban | p-value | ||
| N | % | N | % | |||
| Age | Mean age | 51.52 ± 4.24 | 51.04 ± 4.08 | p = 0.553 | ||
| Age group | 36-40 years | 1 | 0.5 | 3 | 1.5 | p = 0.545 ꭓ2=4.03 |
| 41-45 years | 14 | 7 | 14 | 7 | ||
| 46-50 years | 69 | 34.5 | 68 | 34 | ||
| 51-55 years | 85 | 42.5 | 86 | 43 | ||
| 56-60 years | 28 | 14 | 29 | 14.5 | ||
| 60-65 years | 3 | 1.5 | 0 | 0 | ||
| Marital status | Unmarried | 3 | 1.5 | 3 | 1.5 | p = 0.999 ꭓ2 = 0.000 |
| Married | 197 | 98.5 | 197 | 98.5 | ||
| Parity | 0-1 | 23 | 11.5 | 34 | 17 | p = 0.036* ꭓ2 = 6.626 |
| 2-4 | 168 | 84 | 164 | 82 | ||
| 5-7 | 9 | 4.5 | 2 | 1 | ||
| Socioeconomic status | Above poverty line | 151 | 75.5 | 186 | 93 | p = 0.0001*** ꭓ2 = 23.08 |
| Below poverty line | 49 | 24.5 | 14 | 7 | ||
| Education | Uneducated | 54 | 27 | 48 | 24 | p =0.000*** ꭓ2 =30.21 |
| 5th class | 26 | 13 | 5 | 2.5 | ||
| 8th class | 11 | 5.5 | 1 | 0.5 | ||
| 10th class | 37 | 18.5 | 42 | 21 | ||
| 12th class | 50 | 25 | 74 | 37 | ||
| Graduation | 21 | 10.5 | 26 | 13 | ||
| Postgraduation | 1 | 0.5 | 4 | 2 | ||
| Occupation | Homemaker | 178 | 89 | 178 | 89 | p = 0.549 ꭓ2 = 2.11 |
| Labour | 3 | 1.5 | 2 | 1 | ||
| Service | 13 | 6.5 | 16 | 8 | ||
| Business | 3 | 1.5 | 7 | 3.5 | ||
Table 2: Distribution of Study Subjects According to Years Spent After Menopause
| Variable | Subdomain | Rural | Urban | p-value | ||
| N | % | N | % | |||
| Menopause Years | Mean years | 3.33 ± 1.51 | 2.70 ± 1.40 | 0.166 | ||
| Subgroups | 1 or <1 year | 23 | 11.5 | 32 | 16 | p = 0.0001*** ꭓ2 = 31.27 |
| 2 years | 35 | 17.5 | 71 | 35.5 | ||
| 3 years | 51 | 25.5 | 46 | 23 | ||
| 4 years | 44 | 22 | 36 | 18 | ||
| 5 or >5 years | 47 | 23.5 | 15 | 7.5 | ||
Table 3: Distribution of Study Subjects According to The Source of Their Knowledge and Awareness About Menopause
| Variable | Subdomain | Rural | Urban | p-value | ||
| N | % | N | % | |||
| Previous Awareness | Yes | 184 | 92 | 197 | 98.5 | 0.002** |
| No | 16 | 8 | 3 | 1.5 | ꭓ2 = 9.33 0.0001* ꭓ2 = 102.1 | |
| Source | Book, Media both | 9 | 4.5 | 0 | 0 | |
| Books | 2 | 1 | 7 | 3.5 | ||
| Family | 88 | 44 | 24 | 12 | ||
| Friend | 66 | 33 | 147 | 73.5 | ||
| Friend and Books | 6 | 3 | 0 | 0 | ||
| Health professionals | 11 | 5.5 | 7 | 3.5 | ||
| Media | 2 | 1 | 12 | 6 | ||
| Unaware | 16 | 8 | 3 | 1.5 | ||
Table 4: Distribution of Study Subjects According to Presence of Various Symptoms
| Variable | Subdomain | Rural | Urban | p-value | ||
| N | % | N | % | |||
| Symptoms | Yes | 148 | 74 | 155 | 77.5 | 0.414 ꭓ2 = 0.666 |
| No | 52 | 26 | 45 | 22.5 | ||
| Type of symptom | Hot flashes only | 90 | 45 | 130 | 65 | 0.0001*** ꭓ2 = 54.88 |
| Night sweats only | 14 | 7 | 25 | 12.5 | ||
| Hot flashes andnight sweat | 44 | 22 | 0 | 0 | ||
| No symptom | 52 | 26 | 45 | 22.5 | ||
| Urinary Symptom | Yes | 15 | 7.5 | 6 | 3 | 0.043* ꭓ2 = 4.07 |
| No | 185 | 92.5 | 194 | 97 | ||
| Type of symptom | Frequent Urination | 1 | 0.5 | 0 | 0 | p = 0.078 ꭓ2 = 6.814 |
| Frequent Urination with inability to control | 2 | 1 | 3 | 1.5 | ||
| leakage of urine while coughing | 12 | 6 | 3 | 1.5 | ||
| No symptom | 185 | 92.5 | 194 | 97 | ||
| Vaginal and Sexual symptoms | Yes | 27 | 13.5 | 28 | 14 | p = 0.884 ꭓ2 = 0.021 |
| No | 173 | 86.5 | 172 | 86 | ||
| Type of Symptoms | Dryness in vagina | 18 | 9 | 13 | 6.5 | p = 0.021 ꭓ2 = 3.039 |
| Pain during intercourse | 2 | 1 | 6 | 3 | ||
| Vaginal irritation | 7 | 3.5 | 9 | 4.5 | ||
| No symptom | 173 | 86.5 | 172 | 86 | ||
| Psychological Symptoms | Yes | 72 | 36 | 65 | 32.5 | p = 0.460 ꭓ2 = 0.544 |
| No | 128 | 64 | 135 | 67.5 | ||
| Type of symptoms | Anxiety | 36 | 18 | 37 | 18.5 | p = 0.275 ꭓ2 = 6.332 |
| Anxiety and irritability | 3 | 1.5 | 0 | 0 | ||
| Irritability | 25 | 12.5 | 24 | 12 | ||
| Irritability with anxiety | 3 | 1.5 | 0 | 0 | ||
| Lack of motivation | 5 | 2.5 | 4 | 2 | ||
| No symptom | 128 | 64 | 135 | 67.5 | ||
Table 5: Distribution of Study Subjects According to Acceptance to Menopausal Changes
| Variable | Subdomain | Rural | Urban | p-value | ||
| N | % | N | % | |||
| Acceptance to menopause changes | Easily | 148 | 74 | 149 | 74.5 | p = 0.909 |
| With difficulty | 52 | 26 | 51 | 25.5 | ꭓ2 = 0.013 | |
A larger proportion of subjects in both rural and urban areas have previous awareness of menopause (92% rural, 98.5% urban). The p-value of 0.002** indicates a statistically significant difference in awareness between the two groups. There are significant differences in the sources of knowledge about menopause between rural and urban areas (p = 0.0001***). Notably, a higher percentage of urban subjects gained knowledge from friends and media compared to rural subjects (Table 3).
A similar proportion of subject’s experience symptoms in both rural and urban areas (74% rural, 77.5% urban). The p-value of 0.414 suggests no significant difference in the presence of symptoms. The distribution of symptom types is significantly different between rural and urban areas (p = 0.0001***). Notably, a higher percentage of urban subject’s experience only hot flashes, while more rural subjects experience both hot flashes and night sweats. There's a significant difference in urinary symptoms between the two areas (p = 0.043*), with more rural subjects reporting these symptoms. The presence of vaginal and sexual symptoms is comparable in both areas (p = 0.884). There's no significant difference in the presence of psychological symptoms between rural and urban areas (p = 0.460) (Table 4).
The acceptance of menopausal changes is similar in both rural and urban areas (74% rural, 74.5% urban). The p-value of 0.909 suggests no significant difference in acceptance levels. There's no significant difference in acceptance levels between rural and urban areas based on the p-value of 0.013 (Table 5).
Menopause, a natural biological phenomenon, presents a complex array of physical and psychological changes that can significantly impact women's quality of life. The variability in the presence and severity of menopausal symptoms is well-documented, with a range of factors contributing to this diversity. Our findings shed light on several key aspects of menopausal experiences in these populations.
The mean age of menopause observed in this study (51.52 years in rural and 51.04 years in urban areas) is consistent with previous research conducted by Karmakar et al. [12]. This reaffirms the stability of menopausal age across different studies. The predominance of women aged 50-55 years at the time of menopause aligns with findings from Ankita Goyal et al. [13], study, suggesting a common age bracket for menopausal transition.
Interestingly, the distribution of marital status and parity in both rural and urban areas indicates that almost all study participants were married and had a parity range of 2-4. These trends could be attributed to cultural and societal norms in the region, emphasizing the importance of family and childbearing.
The socio-economic landscape influences menopausal experiences. Our study underscores the impact of socioeconomic status, with a higher proportion of below poverty line women in rural areas 24.5% compared to urban areas 7%. This disparity could be linked to more streamlined identification of below poverty line families in rural regions. Nationally, these figures align with the trends reported by Niti Ayog, with Himachal Pradesh demonstrating exceptional inclusive growth.
Education levels demonstrated intriguing patterns. Although urban areas typically exhibit higher literacy rates, our findings revealed a higher illiteracy rate in urban settings 24% compared to rural settings 27%. This is likely influenced by the socio-economic development of rural areas and may be reflective of the particular demographic characteristics of the region.
Occupational profiles were dominated by homemakers, with this trend mirroring a study by Veigaset J et al. [14] conducted in Mangalore, Karnataka. This underscores the importance of understanding the roles and responsibilities that women undertake during menopause.
Awareness about menopause is crucial for the effective management of this life phase. Our study reflects a high level of awareness, with family and friends emerging as the primary sources of information for both rural and urban subjects. This emphasizes the need for improved communication between healthcare providers and women regarding menopause. The lack of engagement with health professionals as sources of information is concerning and warrants further investigation.
Regarding symptomatology, hot flashes emerged as the most prevalent symptom, a finding consistent with a study by Sharma S et al. [15], in Shimla. Anxiety, another prominent symptom in our study, concurs with Sharma S et al. [15]. Fluctuations in estrogen levels are speculated to contribute to these psychological symptoms. However, the exact mechanisms remain elusive, warranting further research.
The lower prevalence of urinary symptoms (3% rural, 7.5% urban) aligns with previous findings, such as those of Ankita Goyal et al. [13]. Vaginal and sexual symptoms were reported at a comparatively lower rate in our study 13.5% rural, 14% urban than in Barkha Devi's [16], study in Sikkim, where the prevalence was much higher. This disparity could be attributed to socio-cultural factors that influence openness in discussing these symptoms.
Despite the range of menopausal symptoms experienced by the subjects, the majority in both rural 74% and urban 74.5% areas readily accepted these changes. This is likely due to the awareness gained through various sources, encouraging subjects to view menopause as a natural life process. This positive attitude towards acceptance emphasizes the need for continued awareness campaigns and open discussions about menopause.
Our study provides valuable insights into the diverse menopausal experiences of women in rural and urban areas. Socio-demographic factors, awareness levels and symptomatology all contribute to the intricate tapestry of menopause. While we observe trends that resonate with existing literature, there are notable disparities that may be influenced by regional and cultural nuances. The findings highlight the significance of tailored interventions to address menopausal challenges in specific contexts and advocate for open dialogue to dispel myths and stigma surrounding menopause.
In conclusion, this study sheds light on the diverse menopausal experiences of women in both urban and rural settings, highlighting the influence of socio-cultural, economic and demographic factors on their quality of life. The prevalence of menopausal symptoms, including hot flashes and anxiety, reflects the need for comprehensive interventions that address both physical and psychological well-being. The high levels of awareness and acceptance among women demonstrate their resilience and readiness to embrace menopausal changes. By recognizing the differences and commonalities between urban and rural contexts, this study underscores the importance of tailored awareness campaigns, improved healthcare access and open dialogue to empower women during this natural life transition.
Recommendations
Moving forward, it is imperative to implement a multi-pronged approach to improve menopausal health and quality of life for women. Creating targeted awareness campaigns that dispel myths and foster open conversations about menopause will enhance understanding and reduce stigma. Integration of menopausal health components within existing health programs, coupled with specialized OPDs and health camps, will ensure comprehensive care and consultation. Strengthening Information, Education, Communication (IEC) and Behavior Change Communication (BCC) strategies, alongside providing healthcare professionals with appropriate training, will bridge the communication gap between women and healthcare providers. Additionally, encouraging lifestyle modifications, family support and policy advocacy will collectively contribute to empowering women to navigate menopause with confidence and improved well-being.
Nisar, N., and N.A. Sohoo. "Severity of menopausal symptoms and the quality of life at different status of menopause: A community-based survey from rural Sindh, Pakistan." International Journal of Collaborative Research on Internal Medicine and Public Health, vol. 2, no. 5, 2010, pp. 118-130.
Dienye, P.O., and F. Judah. "Frequency of symptoms and health seeking behaviours of menopausal women in an out-patient clinic in port Harcourt, Nigeria." Global Journal of Health Science, vol. 5, no. 4, 2013, pp. 39-47.
Lee, M-S., et al. "Factors influencing the severity of menopause symptoms in Korean post-menopausal women." Journal of Korean Medical Science, vol. 25, no. 5, 2010, pp. 758-765.
Khan, S., et al. "Health seeking behaviour among post-menopausal women: A knowledge, attitude and practices study." International Journal of Community Medicine and Public Health, vol. 3, no. 7, 2016, pp. 1777-1782.
Cheung, A.M., et al. "Perimenopausal and postmenopausal health." BMC Women's Health, vol. 4, no. 1, 2004, pp. 1-14.
Robinson, G. "Cross-Cultural Perspectives on Menopause." The Journal of Nervous and Mental Disease, vol. 184, no. 8, 1996, pp. 453-458.
[7] Grodstein, F., et al. "Postmenopausal hormone use and secondary prevention of coronary events in the nurses' health study. a prospective, observational study." Annals of Internal Medicine, vol. 135, no. 1, 2001, pp. 1-8.
Groeneveld, F.P., et al. "Vasomotor symptoms and well-being in the climacteric years." Maturitas, vol. 23, no. 3, 1996, pp. 293-299.
Schneider, H.P. "The quality of life in the post-menopausal woman." Best Practice and Research Clinical Obstetrics and Gynaecology, vol. 16, no. 3, 2002, pp. 395-409.
Nazarpour, S., et al. "Factors associated with quality of life of postmenopausal women living in Iran." BMC Women's Health, vol. 20, no. 1, 2020, p. 104.
Sullivan, K., and F. O'Conor. "A readability analysis of Australian stroke information." Topics in Stroke Rehabilitation, vol. 7, no. 4, 2001, pp. 52-60.
Karmakar, N., et al. "Quality of life among menopausal women: A community-based study in a rural area of west Bengal." Journal of Mid-Life Health, vol. 8, no. 1, 2017, p. 21.
Goyal, A., et al. "A comparative study of morbidity pattern among rural and urban postmenopausal women of Allahabad, Uttar Pradesh, India." International Journal of Research in Medical Sciences, vol. 5, no. 2, 2017, pp. 670-677.
Veigas, J., et al. "A study on knowledge and practice of postmenopausal women on health maintenance in a selected rural community of Mangalore Dakshina, Kannada District, Karnataka." Advances in Life Science and Technology, vol. 17, 2014, pp. 26-29.
Sharma, S., and N. Mahajan. "Menopausal symptoms and its effect on quality of life in urban versus rural women: A cross-sectional study." Journal of Mid-Life Health, vol. 6, no. 1, 2015, pp. 16-20.
Devi, B., et al. "Quality of life of post-menopausal women residing in rural and urban areas of Sikkim, India." International Journal of Reproduction, Contraception, Obstetrics and Gynecology, vol. 7, no. 12, 2018, pp. 5125-5133.