Evidence map›Paper›PMID 30692813›Full record

ArticleJournal of mid-life health

Assessment of Symptoms and Quality of Life among Postmenopausal Women in a Tertiary Care Hospital in Kochi, South India: A Hospital-based Descriptive Study.

Sumathi Senthilvel, Senthilvel Vasudevan, P S Anju, Anjana Sukumaran, Jayanthi Sureshbabu

Open access · diamondAbstract read
In one paragraph

Article in Journal of mid-life health. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed
2.1field-weighted citation impact, top 11% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

20 citing papers in PubMed, 38 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Postmenopausal Symptoms and Their Correlates among Saudi Women Attending Different Primary Health Centers.International journal of environmental research and public health · 2021
    Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Association of Lifestyle and Sociodemographic Factors with Menopause-specific Quality of Life: A Community-based Cross-Sectional Study from Northern India.Indian journal of community medicine : official publication of Indian Association of Preventive & Social Medicine
    Article
  18. Article
  19. Menopause-Specific Quality of Life of Rural Women.Indian journal of community medicine : official publication of Indian Association of Preventive & Social Medicine
    Article
  20. A Community-Based Cross-Sectional Study about the Quality of Life in Postmenopausal Women in Rural Puducherry.Indian journal of community medicine : official publication of Indian Association of Preventive & Social Medicine
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors at 1 institution in 1 country.

Sumathi SenthilvelDepartment of Obstetrics and Gynaecological Nursing, Amrita College Nursing, Amrita Vishwa Vidyapeetham, Ponekkara, Kochi, Kerala, India.
Senthilvel VasudevanDepartment of Pharmacy, College of Pharmacy, King Saud Bin Abdulaziz University for Health Sciences, Ministry of National Guard Health Affairs, Riyadh, Saudi Arabia.
P S AnjuDepartment of Obstetrics and Gynaecological Nursing, Amrita College Nursing, Amrita Vishwa Vidyapeetham, Ponekkara, Kochi, Kerala, India.
Anjana SukumaranDepartment of Obstetrics and Gynaecological Nursing, Amrita College Nursing, Amrita Vishwa Vidyapeetham, Ponekkara, Kochi, Kerala, India.
Jayanthi SureshbabuDepartment of Community Medicine, Pondicherry Institute of Medical Sciences, Kalapet, Puducherry, India.
Pondicherry Institute of Medical Sciences · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMenopause is a physiological event in the women's life that can strongly affect the quality of life (QOL). More than 80% of women state that physical and physiological symptoms commonly accompany menopause and affect women's health and well-being.

objectiveThe aim of the study was to assess the menopause-related symptoms and their impact on the women's life. MATERIALS AND

methodsWe have done a hospital-based descriptive study at the Outpatient and Inpatient Department of Obstetrics and Gynecology, Amrita Institute of Medical Sciences and Research Centre, Kochi, Kerala, with 150 postmenopausal women. The data were collected using the structured Menopause-specific QOL (MENQOL) questionnaire. The data were collected for 4 weeks from the Outpatient and Inpatient of Department of OBG with inclusion criteria of women who were coming as bystanders' age in between 50 and 65 years. STATISTICAL ANALYSIS: Mean, standard deviation, frequency, and proportions were calculated. The association between the MENQOL scores and selected demographic variables was found using one-way ANOVA test.

resultsAmong 150 postmenopausal women, 51 (34%) were in the age group of 55-59 years and more than half of the study population (

conclusionFrom the present study, we have concluded that the postmenopause-related physical symptoms are frequently reported by the middle age group classifications. The association between QOL scores with educational status, socioeconomic status, and marital status was statistically highly significant. By nursing education, creating appropriate awareness and health education on the management of postmenopausal symptoms to that age group and it could be reducing the burden of the women population.

Indexed as

Descriptive studyKeralamenopause-specific quality of life questionnairepostmenopausal symptomspostmenopausal womenquality of life

Identifiers

PMID30692813
PMCPMC6332724
OpenAlexW2906753911

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-SA
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.