Cognitive Function in Urban and Rural Postmenopausal Women

BACKGROUND

Menopause is a well-known risk factor for decreasing cognitive function in women. Postmenopausal women are increasing in number but relevant studies are very scarce. This study compared the cognitive function between urban and rural postmenopausal women and assessed the influence of socio-demographic factors on cognitive function.

OBJECTIVES

The aim of the study was to assess the association between the cognitive function of urban and rural postmenopausal women.

METHODS

This comparative cross-sectional study was conducted among 87 urban and 87 rural postmenopausal women who were selected by purposive sampling method from the Nakhalpara and Dhamrai area of Dhaka district during the period from January to December 2020. Data were collected with a semi-structured questionnaire based on the Bengali version of the Mini-Mental State Examination (MMSE) scale through face-to-face interviews and record reviewing with a checklist. Statistical analyses of the results were obtained using Microsoft Excel (Microsoft Corporation, Redmond, WA) and SPSS version 24 (IBM Corp., Armonk, NY).

RESULTS

The mean age of postmenopausal women was 58.09 ± 8.163 years in urban areas and 60.00 ± 7.562 years in rural areas. The majority (31, 35.6%) of urban women were primary school pass whereas 58 (66.7%) rural women were illiterate. The mean family income of the women was 43022.99 ± 10992.57 Bangladeshi taka (BDT) in the urban group and 14022.99 ± 5023.14 BDT in the rural group. The study revealed that 31 (35.6%) women in the urban group and 53 (60.9%) women in the rural group had abnormal cognitive function.

CONCLUSION

The percentage of abnormal cognitive function was higher in rural postmenopausal women. Cognitive function has an association with monthly family income, housing condition, family type, age at the time of marriage, lifestyle, and co-morbidities. Policymakers can take the findings as a guide to formulate policies and programs for the improvement of cognitive function of postmenopausal women.

Prevalence, Knowledge, Causes, and Practices of Self-Medication During the COVID-19 Pandemic in Bangladesh: A Cross-Sectional Survey

Introduction During the COVID-19 pandemic, self-medication (SM) has become a critical element in the healthcare system. SM can ease the burden on hospitals and medical resources by treating minor illnesses. However, inappropriate SM practices can lead to adverse drug reactions, drug resistance, and incorrect diagnoses, resulting in poor health outcomes. Methods To evaluate the prevalence, knowledge, causes, and practices of SM among the Bangladeshi population during the COVID-19 outbreak, a cross-sectional survey with structured questionnaires was conducted in Chittagong City, Bangladesh, from March to May 2022. The survey included 265 participants, with an average age of 35.09 years, and a multiple-choice questionnaire was used to gather information. Results The study found that 64.15% of the respondents had sufficient knowledge of SM, while 35.8% had insufficient knowledge. The primary reasons for SM during the pandemic were the influence of friends/family (90.74%), fear of infection or contact with COVID-19 cases (73.15%), and fear of quarantine or self-isolation (72.22%). Analgesics/pain relievers (84%) were the most commonly used drugs for SM for COVID-19 prevention and treatment. Antiulcerants/antacid (42%), vitamin C and multivitamins (42%), and antibiotics (32%) were also frequently used. Conclusion This study suggests that SM is prevalent among Chittagong City residents, particularly those with less than a tertiary education. The study highlights the importance of building awareness about SM practices and taking necessary steps to control them.

SARS-CoV-2 infection is associated with low back pain: findings from a community-based case-control study

OBJECTIVES

Pain is a significant complaint of patients with postacute COVID-19 syndrome; however, little is known about the association between SARS-CoV-2 infection and pain. This study aimed to (1) examine the association between SARS-CoV-2 infection and low back pain (LBP) and (2) identify independent predictors of LBP among survivors of COVID-19.

METHODS

This case-control study involved 878 participants aged ≥18 years. Data were collected from February 24 to April 7, 2022, in Bangladesh. LBP was measured using the musculoskeletal subscale of subjective health complaints produced by Eriksen et al. Descriptive analysis was performed to compute LBP prevalence and compare the prevalence across groups. Multiple logistic analyses helped to identify the predictors of LBP for survivors of COVID-19.

RESULTS

Overall, 20% of participants reported LBP; however, the prevalence of LBP was significantly high among patients with postacute COVID-19 compared with their counterparts (24.4% vs 15.7%, P = 0.001). Regression analysis for all participants suggested that SARS-CoV-2 infection was independently associated with LBP (adjusted odds ratio 1.837, 95% confidence interval 1.253-2.692). However, moderate COVID-19 symptom (adjusted odds ratio 1.754, 95% confidence interval 0.984-3.126) was the only statistically significant predictor of LBP among postacute COVID-19 patients.

CONCLUSION

SARS-CoV-2 infection was associated with LBP, and moderate COVID-19 symptom was an independently associated factor of LBP. The health care facilities must be prepared to deal with the burden of LBP among patients with postacute COVID-19.