Exploring Cognitive Decline among Women

Alzheimer’s Disease in Women: Prospectus

Table of Contents

Introduction 3

Background 3

Relevance and Importance 4

Practical Importance 4

Empirical Importance 5

Theoretical Importance 5

Prior Research 5

Problem Statement 6

Purpose Statement 6

Research Questions 6

Hypotheses 6

Research Method and Design 7

Theoretical Framework 9

References 13

Annotated Bibliography 15

Introduction

Alzheimer's disease is a progressive neurodegenerative disorder that affects memory, thinking, and behavior. It is the most common cause of dementia, accounting for up to 80% of all dementia cases (Rayathala et al., 2022). While Alzheimer's disease affects both men and women, research has shown that women are disproportionately affected by the disease (Rabipour et al., 2021). Women have a higher risk of developing Alzheimer's disease than men, and they also tend to experience more rapid cognitive decline once they develop the disease (Duarte-Guterman et al., 2021).

Background

The challenges of making an early diagnosis of Alzheimer's disease have been documented (Pais et al., 2020). However, why these challenges exist is not particularly well understood (Dubois et al., 2021). Early diagnosis is crucial because it allows for early intervention and treatment, which can slow the progression of the disease and improve quality of life for patients and their families (Rasmussen & Langerman, 2019). However, making an early diagnosis of Alzheimer's disease can be particularly challenging for women (Ferretti et al., 2020).

It is unclear why early diagnosis of Alzheimer’s for women is challenging for physicians, but a challenge it certainly is (Dubois et al., 2021). Researchers have, however, presented different theories as to why this challenge exists, including atypical presentation, delayed presentation, bias in research, and differences in brain structure and function (Duara & Barker, 2022; Lopez et al., 2020).

Duara and Barker (2022) argue that women may present with atypical symptoms that are not always recognized as being related to Alzheimer's disease. For example, women may be more likely to experience mood changes, anxiety, and sleep disturbances than men, which could be mistaken for other conditions. Or, women may be more likely to delay seeking medical attention for cognitive symptoms or may not report them at all due to social stigma or shame. This can delay the diagnosis and treatment of Alzheimer's disease (Lopez et al., 2020). Also, historically, Alzheimer's disease research has been biased towards studying men, leading to a lack of understanding of how the disease manifests in women (Ferretti et al., 2020). This can result in misdiagnosis or delayed diagnosis of Alzheimer's in women. Finally, studies have shown that women's brains may be more resilient to the effects of Alzheimer's disease, making it harder to detect the disease in its early stages (Veitch et al., 2022). Plus, women may have a higher burden of certain types of Alzheimer's-related brain changes, such as tau tangles, which can be harder to detect with current diagnostic tools (Veitch et al., 2022).

Relevance and Importance

The topic of the challenges of making an early diagnosis of Alzheimer's disease in women is both relevant and important for several reasons. First, as the population ages, the number of cases of Alzheimer's disease is expected to increase significantly, and women will be disproportionately affected (Dubois et al., 2021). Second, early diagnosis is crucial for effective treatment and care, and the challenges of making an early diagnosis in women must be addressed to improve outcomes for patients and their families (Dubois et al., 2021; Rasmussen & Langerman, 2019). Third, the topic is of theoretical importance because it highlights the complex interplay between gender, health, and aging, and raises important questions about how healthcare systems can address these issues. More can be said, however, on the value of this research in terms of practical, empirical, and theoretical importance.

Practical Importance

Practically, the ability to accurately diagnose Alzheimer's disease is critical to providing appropriate treatment and care to patients. If physicians are not able to accurately diagnose Alzheimer's disease in women, this can result in delayed treatment, misdiagnosis, and suboptimal care. Accurate diagnosis can also help patients and their families plan for the future and make informed decisions about their care.

Empirical Importance

Empirically, understanding the factors that contribute to diagnostic challenges in women with Alzheimer's disease can help inform the development of more effective diagnostic tools and strategies (Duarte-Guterman et al., 20210. It can also help improve our understanding of the disease itself, including its presentation and progression in different populations. This can lead to better treatment options and improved outcomes for patients.

Theoretical Importance

Theoretically, the topic of diagnosing Alzheimer's disease in women is important because it sheds light on broader issues related to health disparities and gender bias in medicine (Lopez et al., 2020). It highlights the need for more research and attention to be paid to how diseases present differently in different populations, and the need for more inclusive research practices that account for diversity and inclusivity in medical research.

Prior Research

Prior research has shown that women are more likely than men to develop Alzheimer's disease, and that they experience more rapid cognitive decline once they develop the disease (Duarte-Guterman et al., 2021). Some studies have also suggested that women may be more sensitive to the effects of Alzheimer's disease pathology in the brain (Duara & Barker, 2022; Lopez et al., 2020). However, research on the challenges of making an early diagnosis of Alzheimer's disease in women is limited (Dubois et al., 2021).

Problem Statement

The challenges of making an early diagnosis of Alzheimer's disease in women are significant and multifaceted. There is a need for more research to understand the specific challenges that women face in receiving an early diagnosis of Alzheimer's disease, and to develop effective strategies for addressing these challenges. This study seeks to address this need by exploring the challenges of making an early diagnosis of Alzheimer's disease in women, and through that exploration making inroads into potentially developing new strategies that can improve early diagnosis and treatment for this population.

Purpose Statement

The purpose of this qualitative study is to focus on the need to further investigate why many women with AD are not diagnosed. The aim will be to conduct a descriptive qualitative study to examine physicians’ experiences diagnosing AD in women in order to identify why women go undiagnosed.

Research Questions

The research questions that will be used to guide this study are: 1) How do physicians describe barriers to diagnosing Alzheimer's disease (AD) in women? 2) What factors do physicians perceive limit their ability to identify symptoms of AD for women?

Hypotheses

For exploratory research such as this, hypotheses are not necessarily applicable, as nothing is being tested. However, the following hypotheses, null hypotheses, and alternative hypotheses are included for the sake of identifying possible scenarios or outcomes of the exploration.

Research Question 1: How do physicians describe barriers to diagnosing Alzheimer's disease (AD) in women?

Hypothesis: Physicians will describe various barriers to diagnosing AD in women, including lack of education, stigma, and communication difficulties.

Null Hypothesis: Physicians will not describe any barriers to diagnosing AD in women, and will perceive the process as straightforward and uncomplicated.

Alternative Hypothesis: Physicians will describe different barriers to diagnosing AD in women, and will have varying perceptions of the complexity of the diagnosis process.

Research Question 2: What factors do physicians perceive limit their ability to identify symptoms of AD for women?

Hypothesis: Physicians will perceive various factors that limit their ability to identify symptoms of AD in women, including atypical symptom presentation and comorbidities.

Null Hypothesis: Physicians will not perceive any factors that limit their ability to identify symptoms of AD in women, and will feel confident in their ability to identify the disease.

Alternative Hypothesis: Physicians will perceive different factors that limit their ability to identify symptoms of AD in women, and will have varying levels of confidence in their diagnostic abilities.

Research Method and Design

Based on the research questions, a qualitative research method and design would be appropriate for this study.

Qualitative research methods aim to understand the meaning and interpretation of experiences, attitudes, and beliefs of individuals. This approach is ideal for exploring complex phenomena such as barriers to diagnosing Alzheimer's disease in women, which is potentially influenced by subjective experiences, beliefs, and opinions of physicians.

The research design that would be suitable for this study is descriptive qualitative research. The purpose of this research design is to describe and explore a phenomenon or a group of individuals' experiences or attitudes. In this study, the research design will focus on describing physicians' experiences and perceptions of diagnosing Alzheimer's disease in women.

The study will use the semi-structured interview approach to qualitative data collection, to gather rich data that will provide insights into physicians' experiences and attitudes. This method will allow the researcher to explore the phenomenon in-depth and gain an understanding of the factors influencing the physicians' ability to diagnose Alzheimer's disease in women.

The researcher will use purposive sampling to select physicians who have experience in diagnosing Alzheimer's disease in women. This sampling technique is suitable for qualitative research since it allows the researcher to select individuals who have specific knowledge or experience in the area under investigation.

The data collected will be analyzed using thematic analysis, a qualitative research method that identifies patterns and themes within the data. This method will help the researcher to categorize the data into themes that reflect physicians' experiences and perceptions of diagnosing Alzheimer's disease in women.

Secondary questions that arise from the two RQs and that can be used for the interview methodology include:

1. What are physicians' experiences diagnosing Alzheimer's disease in women, and how do they differ from their experiences diagnosing men?

2. What are the factors that physicians consider when diagnosing Alzheimer's disease in women, and how do these factors differ from those considered when diagnosing men?

3. How do physicians describe the challenges and barriers they face when diagnosing Alzheimer's disease in women, and how do these challenges and barriers differ from those faced when diagnosing men?

4. What are the perceptions of physicians regarding the role of gender in the diagnosis and treatment of Alzheimer's disease, and how do these perceptions impact their diagnosis and treatment decisions?

5. How do physicians describe their experiences communicating a diagnosis of Alzheimer's disease to women, and how do these experiences differ from their experiences communicating with men?

6. What strategies have physicians found to be effective in diagnosing Alzheimer's disease in women, and how do these strategies differ from those used to diagnose men?

7. What are the implications of the findings for improving the diagnosis and treatment of Alzheimer's disease in women?

Overall, the qualitative research method and descriptive research design are appropriate for exploring physicians' experiences and attitudes towards diagnosing Alzheimer's disease in women. The study will use in-depth interviews to collect data, which will be analyzed using thematic analysis. The study will provide insights into the barriers and factors that limit physicians' ability to diagnose Alzheimer's disease in women.

Theoretical Framework

An applicable theoretical framework for the study on physicians' experiences and attitudes towards diagnosing Alzheimer's disease in women is the social constructionist perspective. This theoretical framework asserts that our understanding of the world is socially constructed through language, shared experiences, and cultural norms. The social constructionist perspective emphasizes that individuals' experiences and attitudes towards a particular phenomenon are influenced by their social and cultural context.

In the case of physicians diagnosing Alzheimer's disease in women, the social constructionist perspective highlights the importance of understanding how societal norms and expectations influence physicians' attitudes towards diagnosing women. For instance, gender bias and stereotypes can influence how physicians perceive and diagnose Alzheimer's disease in women.

The social constructionist perspective also emphasizes the importance of language in shaping our understanding of a phenomenon. For instance, the terms used to describe Alzheimer's disease symptoms may be gendered, and this may influence physicians' perceptions and diagnosis of the disease in women. Additionally, the social constructionist perspective emphasizes that individuals' experiences and attitudes are influenced by their cultural background. Therefore, physicians' cultural beliefs and values may influence how they diagnose Alzheimer's disease in women.

Another applicable theoretical framework for the study on physicians' experiences and attitudes towards diagnosing Alzheimer's disease in women is the Feminist Theory. The feminist theory emphasizes the impact of gender and power dynamics on social and cultural systems. It highlights the importance of gender equity, women's rights, and their experiences in society.

In the case of physicians diagnosing Alzheimer's disease in women, the feminist theory can help to explore the gendered dimensions of the diagnosis and treatment of the disease. The theory recognizes that gender bias and stereotypes can affect physicians' perceptions, attitudes, and diagnosis of Alzheimer's disease in women. It acknowledges that women's health experiences and outcomes are often shaped by gender inequality, societal norms, and cultural expectations.

The feminist theory can also help to identify the ways in which women's experiences and voices are often ignored or marginalized in the medical field. It recognizes that women's experiences and symptoms may differ from men's and may require different diagnostic approaches. It can help to highlight the importance of gender-sensitive care, personalized medicine, and informed consent in diagnosing and treating Alzheimer's disease in women.

Moreover, the feminist theory emphasizes the importance of power dynamics in healthcare settings. It recognizes that physicians hold a position of power and authority in the healthcare system and that this can affect how they perceive and interact with patients, especially women. It can help to identify the ways in which gender-based power dynamics may influence the physician-patient relationship and, subsequently, the diagnosis and treatment of Alzheimer's disease in women.

In summary, the social constructionist perspective provides a relevant theoretical framework for understanding physicians' experiences and attitudes towards diagnosing Alzheimer's disease in women. The framework emphasizes the importance of social and cultural context, language, and societal norms in shaping physicians' perceptions and diagnosis of the disease in women. By using this theoretical framework, the study can gain a deeper understanding of how societal and cultural factors influence physicians' experiences and attitudes towards diagnosing Alzheimer's disease in women. Additionally, feminist theory provides a relevant theoretical framework for understanding physicians' experiences and attitudes towards diagnosing Alzheimer's disease in women. The framework emphasizes the importance of gender equity, women's rights, and experiences, and highlights the gendered dimensions of the diagnosis and treatment of Alzheimer's disease in women. By using this theoretical framework, the study can gain a deeper understanding of the impact of gender and power dynamics on physicians' perceptions, attitudes, and diagnosis of Alzheimer's disease in women.

References

Duara, R., & Barker, W. (2022). Heterogeneity in Alzheimer’s disease diagnosis and progression

rates: Implications for therapeutic trials. Neurotherapeutics, 19(1), 8-25.

Duarte-Guterman, P., Albert, A. Y., Barha, C. K., Galea, L. A., & Alzheimer’s Disease

Neuroimaging Initiative. (2021). Sex influences the effects of APOE genotype and Alzheimer’s diagnosis on neuropathology and memory. Psychoneuroendocrinology, 129, 105248.

Dubois, B., Villain, N., Frisoni, G. B., Rabinovici, G. D., Sabbagh, M., Cappa, S., ... & Feldman,

H. H. (2021). Clinical diagnosis of Alzheimer's disease: recommendations of the International Working Group. The Lancet Neurology, 20(6), 484-496.

Ferretti, M. T., Martinkova, J., Biskup, E., Benke, T., Gialdini, G., Nedelska, Z., ... & Schmidt,

R. (2020). Sex and gender differences in Alzheimer’s disease: current challenges and implications for clinical practice: Position paper of the Dementia and Cognitive Disorders Panel of the European Academy of Neurology. European journal of neurology, 27(6), 928-943.

Lopez, R. P., Rose, K. M., Kenney, L., Sanborn, V., & Davis, J. D. (2020). Managing shame: A

grounded theory of how stigma manifests in families living with dementia. Journal of the American Psychiatric Nurses Association, 26(2), 181-188.

Pais, M., Martinez, L., Ribeiro, O., Loureiro, J., Fernandez, R., Valiengo, L., ... & Forlenza, O.

V. (2020). Early diagnosis and treatment of Alzheimer’s disease: new definitions and challenges. Brazilian Journal of Psychiatry, 42, 431-441.

Rabipour, S., Rajagopal, S., Pasvanis, S., Rajah, M. N., & PREVENT-AD Research Group.

(2021). Generalization of memory-related brain function in asymptomatic older women with a family history of late onset Alzheimer's Disease: Results from the PREVENT-AD Cohort. Neurobiology of Aging, 104, 42-56.

Rasmussen, J., & Langerman, H. (2019). Alzheimer’s disease–why we need early

diagnosis. Degenerative neurological and neuromuscular disease, 123-130.

Rayathala, J., Kumar, K., & Venkatesh, P. (2022). Review on Alzheimer’s disease: Past, present

and future. Journal of Innovations in Applied Pharmaceutical Science (JIAPS), 28-31.

Veitch, D. P., Weiner, M. W., Aisen, P. S., Beckett, L. A., DeCarli, C., Green, R. C., ... &

Alzheimer's Disease Neuroimaging Initiative. (2022). Using the Alzheimer's Disease Neuroimaging Initiative to improve early detection, diagnosis, and treatment of Alzheimer's disease. Alzheimer's & Dementia, 18(4), 824-857.

Annotated Bibliography

Andrew, M. K. & Tierney, M. C. (2018). The puzzle of sex, gender and Alzheimer’s disease: Why are women more often affected than men? Women’s Health, 14, 1-8.

This study cites the significant differences in the incidence and prevalence of Alzheimer’s disease between men and women as a problem that warrants additional investigation. The purpose of the study was to provide a comprehensive, critical analysis of these issues using a narrative review to identify gender- and sex-based influences in the onset of Alzheimer’s disease. In this regard, the authors note that there are multiple sex differences between men and women with respect to hormones, pregnancy and brain structure that may have an influence on the onset of Alzheimer’s disease. The findings that emerged from this study included the effects of longevity because women tend to outlive men as well as other biological differences such as hormonal and physicality which may play a role. In addition, gendered social roles and educational and employment opportunities may also be implicated in the onset of Alzheimer’s disease. Based on these findings, the authors suggest that additional research concerning the manner in which sex- and gender-based differences combine to place women at greater risk of developing Alzheimer’s compared to men. Likewise, the authors also call for further studies to determine how sex and gender should be taken into account for the optimal management of this disorder. A minor weakness in this study was the minimal discussion concerning the relationship between female frailty and the onset of Alzheimer’s although this factor was included in the calculus.

Kimura, A. et al. (2019). Malnutrition is Associated with Behavioral and Psychiatric Symptoms of Dementia in Older Women with Mild Cognitive Impairment and Early-Stage Alzheimer’s Disease. Nutrients, 11(8), 1951-1966.

This article emphasizes the fact that the world’s population is living longer with a concomitant increase in the prevalence of various types of dementia, most especially Alzheimer’s disease. In response to this problem, the purpose of this study was to analyze a population of 846 women (aged 65–89 years) suffering from different stages of dementia (including Alzheimer’s) using the Mini-Mental State Examination, Dementia Behavior Disturbance Scale and Mini Nutritional Assessment Short-Form. The findings that emerged from this study included the fact that nutritional problems, including weight loss, are common among women with Alzheimer's disease which is associated with suboptimal clinical outcomes such as high rates of institutionalization, rapid cognitive decline and increased mortality. An especially noteworthy finding was that these outcomes can even occur among women suffering from the early stages of the disorder. Based on these findings, the authors recommend additional research to identify efficacious preventative and management strategies for women experiencing the early stages of Alzheimer’s disease. Although not a weakness per se, this study used Japanese women only, meaning that there may be unidentified cultural issues involved that may also play a role in the onset of Alzheimer’s disease and that the above findings may not be generalizable to other populations.