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Introduction Of Analysis of Diabetes in Women: Causes, Impact & Prevention
This assignment's main purpose is to develop a report on analysing diabetics in women. That helps in supplying a large insight into its influences on women's lives and several approaches to minimise the risk. In this aspect, a brief discussion of the research background and problem statement has been considered. Additionally based on the research purpose research aims and objectives with questions have been outlined here. Next, a critical analysis of the data collection approach, findings and discussion has been discussed here. Finally considering researches all aspects a concise conclusion and recommendations have been framed here.
Background Information
Vounzoulaki et al., (2020) stated that the increasing health concern it found that diabetics become a major health issue. It is a chronic medical situation that is characterised by elevated glucose levels within the bloodstream. Around 18,000,000 people die each year from cardiovascular diseases that are generated from hypertension and diabetes. It affects several people across the world and its majority is increasing. In particular, women are experiencing unique issues due to diabetes.
The above report shows people's number who possesses diabetes in the year 2021 to the year 2022 as of the gender. through these statistics, it can be evaluated that type 1 and type 2 diabetes can be found relevantly among men and women this year type 2 diabetes can be found in males rather than females that are 44.4% (Diabetes UK, 2023). In the UK, diabetes affects people number 4.3 million and there are about 850000 people who are still under-diagnosis.
Type 1 and type 2 diabetes
Barbry et al., (2022) opined that there are 2 kinds of diabetes such as type 1 diabetes and type 2 diabetes. Type-1 diabetes that defined as an autoimmune situation that develops in adolescence and childhood. In the UK, 8% of people are affected by type 1 diabetes.
On the other hand type-2 diabetes is common and has been associated with lifestyle factors including physical activity and diet within women type 2 diabetes is more commonly found (Ohkuma et al., 2019). In the UK 90% of people are experiencing diabetes.
Gestational diabetes
D'Arcy et al., (2020) stated that some women also face gestational diabetes in the time of pregnancy issues that can enhance the complications and risk of pregnancy. It also increases the type 2 diabetes generating risk in future life.
Problem statement
The issue is increasing the concern of diabetic issues across the world. In women diabetes is an evolving public health problem with different consequences and characteristics that need proper observation. Across the world, most people are affected by type 2 diabetes (Healthline, 2017). The risk factors of the diabetics are complicated and multiple.
This included the affected person's family history, ethnicity, lifestyle, overweight or obesity and age. Besides this factors such as education, housing, healthy food access, poorer healthcare access and income are also reflects notably linked with increasing diabetes risk. In order to meet this risk NHS of the UK invested around 10 billion sterling pounds in a year that is the whole country's 10% budget (Davis, 2020). A report shows due to women's conditions such as PCOS, pregnancy and hormonal change they experience a high risk of diabetes. Through this, it generated high complications such as mental health issues, adverse pregnancy results, cardiovascular disease and many more. The limited gender-specific strategies within health care for diabetes worsen these disparities. Often women experience specific psychological challenges such as high anxiety, depression and more (Tabish, 2017). The lack of psychological has influences on understanding the requirement of a proper support system. Additionally, the pandemic also created challenges for health care and patients as well. A report reflects that there are 60% increments found in managing the mental health of diabetic patients in the year 2021(Diabetes, 2023). Thus it is vital to enhance healthcare efficiency by adopting a proper support system for the daibete\c p[erson to provide them with a healthy lifestyle.
Research Questions
- What are the incidents and prevalence of diabetes in women?
- What are the gender-specific factors that have contributed to increasing risk in diabetic women?
- What are the influences of diabetes on women's lifestyle and health?
- In what method a healthcare provider can be adequately educated and trained to supply gender-sensitive diabetes care and what particular guidelines and practices need to be implemented to ensure women receive the most proper and effective care for managing their diabetes?
Aim and objectives of the study
This research's main aim is to comprehensively analyse the multifaceted dynamics of diabetes in women to develop healthcare practices, increasing outcomes and ultimately improving the quality of women life who are at risk of developing diabetes.
In order to meet these aims, some objectives have been developed. Those are as follows
- To determine the incidence and prevalence of diabetes among women.
- To analyse the gender-specific factors that have a high contribution to diabetes in women.
- To examine the influences of diabetes on Women's Health.
- To generate gender-sensitive prevention and management approaches
Data collection approach
Analyzing the impact of diabetes in the UK over the last ten years is necessary for understanding its harmful effect on students, children, and people from every age, locality, society, community, and other characteristics. Therefore the researcher follows a proper data collection process. In this case, secondary color data collection has been followed as it has more suitable processes and methods for maintaining the process. Firstly, secondary data collection follows several sources for understanding the information. Several government agencies, research organizations, healthcare institutions, and other work from previous years have been analyzed for systematic data collection and maintaining its reliability for understanding diabetes (Hexet al. 2012). These data sets have been providing a proper value for resource management and understanding the research that can create long-term term prevalence and associated factors for maintaining reliable and more accurate data. On the other hand, primary data collection is more time-consuming, impractical, and resource-intensive; it cannot gather so much data that is worth the value of a decade. On the other hand, it is necessary to understand that secondary data is easily available and accessibility is more significant than primary data.
The healthcare system of the United Kingdom is well established and maintains its database very carefully, therefore maintaining and collecting data on the diagnosis outcomes treatment and associated processes with health metrics has been easier. However, accessing these reciprocities is necessary for the allowance of a comprehensive analysis of data based on the trend. According to different resources, it is necessary to understand that this data collection also helps in differentiating the process of type 1 and type 2 diabetes (Lokulo-Sodipeet al. 2014). Other than that collecting the tenure of data is a substantial process for maintaining cost-effective and administrative purposes for data entry quality control and secondary data analysis.
According to different resources, it can be said that for analyzing the numerical data quantitative data analysis is more valuable than qualitative data analysis. Therefore it is necessary to find out the proper analysis process and in this case, the researcher is following quantitative data analysis by using Descriptive analysis correlation and ANOVA. According to different resources, it can be said that the numerical data is more appropriate for understanding the impact in a greater view. Other than that proper mean maximum and other values can be found through a secondary quantitative data analysis process. On the other hand, it is also important to understand that proper value in maintaining these data is necessary for analyzing the information from the last 10 years that can be more valuable than qualitative data analysis as it cannot be counted as an emotional attachment of people.
Findings and discussion
Findings
Based on the collected data and after the quantitative analysis of the provided data it can be said that the statistics related to the healthcare settings and its impact on diabetes in the UK can be analyzed by maintaining its statistics. Several contexts can be clear understandable processes for maintaining the representative processes with some general Interpretation (NHS, 2019).
Standard |
Data |
Mean |
30055.10526 |
Standard Error |
14951.01393 |
Median |
13517 |
Mode |
0 |
Standard Deviation |
184328.4792 |
Sample Variance |
33976988261 |
Kurtosis |
151.0489247 |
Skewness |
12.27148692 |
Range |
2284188 |
Minimum |
0 |
Maximum |
2284188 |
Sum |
4568376 |
Count |
152 |
Table 1: Descriptive analysis
(Source: Self-developed)
According to the findings, the mean indicates the average value of a particular variable that maintains the specific numeric value for understanding the interpretation of diabetes. According to the data, the mean of this collected data is 30055.11 which can represent the average healthcare cost, number of diagnosed cases, and other relevant metrics. According to the medium 13517, it suggests that there are extreme values that can provide the contextual perspective for providing the accurate analysis of the variable and its necessity for maintaining the statistical value of the impact of diabetes on the Society of the UK (Walshet al. 2016). Based on liberal resources it can be said that the standard deviation of this data set is 184328.48, which indicates the high standard deviation implies a significant variable amount in maintaining the data that can be indicated, by wide variation and metrics for measuring several factors such as lifestyle treatment and other demographics. The skewness is 12.27 and Kurtosis is 151.05. That is measuring the non-normal distribution of data for suggesting a follow-up curve for maintaining the impeccable distribution of diabetes-related data. However, it is necessary to understand the range follows a measuring process between minimum and maximum value for understanding the extensive and indicating potential for substantial variation of the data. The range here mainly indicates its optimal condition that is referred to by numerical data for proper understanding. The range that is suggested here is 2284188 which can draw a meaningful understanding of the impact of diabetes in the UK. It is crucial to understand the specific variables and period that has been covered in the research as the last 10 years of the recent data collection process.
SUMMARY |
Groups |
Count |
Sum |
Average |
Variance |
2284188 |
151 |
2284188 |
15127.07 |
1.05E+08 |
1665306 |
151 |
1665306 |
11028.52 |
57077455 |
2104050 |
151 |
2104050 |
13934.11 |
89388461 |
214505 |
151 |
214505 |
1420.563 |
1701365 |
0.988034 |
151 |
131.3458 |
0.86984 |
0.1047 |
0 |
0 |
#DIV/0! |
#DIV/0! |
2396923 |
151 |
2396923 |
15873.66 |
99034337 |
224711 |
151 |
224711 |
1488.152 |
1540760 |
0.990241 |
151 |
130.6593 |
0.865293 |
0.109591 |
Source of Variation |
SS |
df |
MS |
F |
P-value |
F crit |
Between Groups |
5.55E+10 |
8 |
6.94E+09 |
156.7352 |
2.1E-180 |
1.946111 |
Within Groups |
5.31E+10 |
1199 |
44263310 |
Total |
1.09E+11 |
1207 |
Table 2: data analysis using Single factor ANOVA
(Source: Self-developed)
According to the provided data, it appears that the result has been analyzed by maintaining proper process and it is following ANOVA for further analysis of the quantitative data. The key observation mainly finds that there are 151 data points in each group and in the between-group group some of the squares are observably higher than within the group sum of squares. That indicates the significant difference between the groups (Wilmotet al. 2021). The F statistics is larger (156.7352) than the P value and it is extremely small for suggesting the difference between proper groups and statistical significance. Other than that these points have been substantial variations for maintaining different groups related to diabetes and its demographics.
Number of patients with diabetes identified by the Diabetic Retinopathy Screening Programme(s) in the PCT |
1 |
Number of people with diabetes receiving screening for diabetic retinopathy |
0.999974516 |
1 |
Number of people with diabetes offered screening for diabetic retinopathy |
0.999983365 |
0.999977931 |
1 |
Number of people with diabetes excluded from screening |
0.999082521 |
0.998978309 |
0.998942 |
1 |
% offered screening |
0.059756409 |
0.060087368 |
0.060165 |
0.060772 |
1 |
#DIV/0! |
#DIV/0! |
#DIV/0! |
#DIV/0! |
#DIV/0! |
1 |
Previous Quarter No of people with diabetes |
0.999598185 |
0.999576884 |
0.999584 |
0.998677 |
0.043636 |
#DIV/0! |
1 |
Previous Quarter Exclusions |
0.998966217 |
0.998896219 |
0.998845 |
0.999233 |
0.046945 |
#DIV/0! |
0.999254 |
1 |
% offered screening compared to previous quarter |
0.059513186 |
0.059919361 |
0.05984 |
0.060006 |
0.967812 |
#DIV/0! |
0.045892 |
0.049462 |
1 |
Table 4: Correlation analysis
(Source: Self-developed)
The correlation data sources a proper interaction between the number of patients identified with diabetes who have been receiving screening for retinopathy. However substantial percentage of more than 99.5% that excluded from screening and the percentage offered screening indicates approximately 6% of more identified patients. On the other hand the previous quarter figures can be suggested for both patient-related exclusion for percentage offers screening compared to the previous quarter for maintaining significant change around 96.7%. This analysis has a proper impact on understanding diabetes in the UK.
Discussion
The impact of diabetes in the United Kingdom is a significant and multifaceted Problem that is affecting individual society and the healthcare system.
Theme 1: diabetes is a proper healthcare burden
Diabetes can be counted as a substantial burden in the healthcare system of the United Kingdom. The National Health Service is spending a substantial portion for maintaining the budget on some diabetes and diabetes-related issues. It includes treatment medication, several complication managements, and others. Diabetes related conditions such as kidney disease cardiovascular disease diabetic retinopathy are mainly common for understanding extensive medical attention of the NHS. The long-term pressure and principle of diabetes are creating a strain on the human healthcare system and lives (Amoakuet al. 2020). Other than that diabetes is an increasing risk factor and hospitalization process with several complications such as hypoglycemic events diabetic ketoacidosis that lead to admission and severe health conditions. On the other hand, management of hospitalization is a major expensive process for maintaining the challenge for the healthcare system.
Theme 2: Diabetes has a severe economic impact on patients and the healthcare system
Based on several resources it can be said that diabetes is a crisis that has considerable cost management issues with financial or economic loss for individuals living in the United Kingdom. That includes healthcare cost indirect costs such as loss of work days reduced productivity nutrient deficiency and other others. The United Kingdom has the highest rate of type 2 diabetes that is related to loss of productivity on work-days (Abbottet al. 2011). Other than that people who are suffering from diabetes cannot work as hard as they can and they also need medical assistance and proper medical appointments for recovering the complications and self-management. These are the factors that have a crucial impact on the overall economic growth of the country and individual. Other than all that diabetes has a significant economic impact on medication cost equipment processing and regular checkups for cost reduction that is treating complications for substantial development. However, it is necessary to understand the financial burden of maintaining the healthcare system and its requirements.
Theme 3: Diabetes is creating hindrances and obstacles to maintaining quality of life
According to different resources, it can be said that diabetes is maintaining a long-term effect on humans. The profound effect is diminishing the quality of life of an individual who is defective in maintaining the transition phase. Other than that, living with diabetes creates several arguments for constant monitoring of dietary restriction blood glucose levels, regular medication exercise and proper life announcement processes. These have led to psychological and emotional stress. Other than that fear of complications or hypoglycemia can be severe and overwhelming, impacting on mental well-being of individuals. Other than that diabetes can create complications such as retinopathy, neuropathy, and cardiovascular issues that have significant reduction processes of the quality of life other than that necessary dietary requirements can create pain disability, vision impairment, and reduced mobility of people (Rustonet al. 2013). However, limiting an individual's ability in day-to-day activity is very stressful for human individuals.
Recommendation and conclusion
The influences of diabetes across the world, including the UK, represent a multifaceted issue that encompasses economics, life quality and health care. Diabetes has a significant influence on the healthcare system with substantial financial resources. That has been directed towards medication, managing complications and treatment. Critical situations, such as kidney disease, require extensive medical attention. Additionally, it also propounded economic consequences for the healthcare system and individuals. Regular checkup equipment and medication put an extravagant within the finance of healthcare systems and patients as well. It is health condition acts as a relentless obstacle to maintaining a standard life. It increases the necessity of regular observations, medication, exercise and dietary restriction. Additionally, this also leads towards psychological and emotional state That is, the symptom is of another issue, namely hypoglycemia. Diabetes Relevant complications such as neuropathy and retinopathy are also significantly destroying the standard of life by impeding activity and decreasing mobility. Additional diabetes in women will represent a multi-faceted and complicated health issue that needs urgent attention. This research also helps to make emphasis on the gender-specific factors that have a high contribution in mentoring diabetes within women. The hormonal influence, PCOS, and pregnancy-related situation also increase the risk of Diabetes. Therefore, it can be stated that to maintain diabetes, there is needed a holistic approach. This analysis endeavours to supply valuable information and practical knowledge. Gender-specific interventions can help enhance women's lives compared to those affected by diabetes. By identifying the specific requirements and challenges experienced by diabetic women This research helps to provide a brief understanding of several approaches that can be taken for providing a healthier life.
Recommendation 1: The healthcare system can adopt an integrated care system for addressing diabetes
Jyotsna et al., (2023) opined that ICS need to prioritise comprehensive plan development to identify the backlog within the care provided to the diabetic patient caused by the effect of the pandemic. This approach includes monitoring, restoring management support and identification for diabetic people at the pre-pandemic level. Efforts need to be developed to enhance individuals' numbers by receiving 8 recommended care procedures. It can be done by maintaining compliance with ICE treatment goals. On the other hand, MacLeod et al., (2021) opined that the healthcare system needs to incorporate health and care plans. These approaches can have the main focus on minimising health inequalities by providing integrated care. This planet needs to assure individuals to easily access emergency and essential services including mental health support system, diabetes awareness, weight management, events, digital combination and impersonal support and many more. Additionally, collaboration with local communities and service providers Diabetic can help to facilitate individuals' mental health.
Recommendation 2: Implementing public health initiatives such as an awareness campaign
Correia et al., (2019) stated that Public health initiatives mainly focus on increasing awareness about diabetes. It has been associated with effective prevention approaches and respecters that are essential in eliminating the growing diabetic issue, particularly among women. The campaign needs to encompass several strategies and platforms to reach the large target audience including several elements such as lifestyle modification guidance, prevention and measurement. On the contrary Ackermann and O'Brien, (2020) opined that the public health campaign needs to probe quite accurate data and information about diabetes several aspects such as symptoms, potential, complications and Causes. This can help to eliminate all the misconceptions about diabetes by promoting awareness among several people. Additionally, the initiative needs to be incorporated by supplying practical guidance on modifying lifestyle, including a recommendation for maintaining daily activity, exercise and diet. Recommendations on healthy weight maintenance and stress removal process can be essential in this aspect. Knowledge empowerment among women can be effective in this aspect as this helps to develop an understanding of diabetic-relevant issues and complications such as stress, anxiety and other aspects such as polycystic ovary syndrome.
References
- Abbott, C.A., Malik, R.A., Van Ross, E.R., Kulkarni, J. and Boulton, A.J., 2011. Prevalence and characteristics of painful diabetic neuropathy in a large community-based diabetic population in the UK. Diabetes care, 34(10), pp.2220-2224.
- Ackermann, R.T. and O'Brien, M.J. (2020). Evidence and Challenges for Translation and Population Impact of the Diabetes Prevention Program. Current Diabetes Reports, 20(3). doi:https://doi.org/10.1007/s11892-020-1293-4.
- Amoaku, W.M., Ghanchi, F., Bailey, C., Banerjee, S., Banerjee, S., Downey, L., Gale, R., Hamilton, R., Khunti, K., Posner, E. and Quhill, F., 2020. Diabetic retinopathy and diabetic macular oedema pathways and management: UK Consensus Working Group. Eye, 34(Suppl 1), pp.1-51.
- Barbry, F., Lemaitre, M., Ternynck, C., Wallet, H., Cazaubiel, M., Labreuche, J., Subtil, D. and Vambergue, A. (2022). HbA1c at the time of testing for gestational diabetes identifies women at risk for pregnancy complications. Diabetes & Metabolism, 48(3), p.101313. doi:https://doi.org/10.1016/j.diabet.2021.101313.
- Correia, J.C., Lachat, S., Lagger, G., Chappuis, F., Golay, A. and Beran, D. (2019). Interventions targeting hypertension and diabetes mellitus at community and primary healthcare level in low- and middle-income countries:a scoping review. BMC Public Health, 19(1). doi:https://doi.org/10.1186/s12889-019-7842-6.
- D'Arcy, E., Rayner, J., Hodge, A., Ross, L.J. and Schoenaker, D.A.J.M. (2020). The Role of Diet in the Prevention of Diabetes among Women with Prior Gestational Diabetes: A Systematic Review of Intervention and Observational Studies. Journal of the Academy of Nutrition and Dietetics, [online] 120(1), pp.69-85.e7. doi:https://doi.org/10.1016/j.jand.2019.07.021.
- Davis, F.D. (2020). Perceived Usefulness, Perceived Ease of Use, and User Acceptance of Information Technology. MIS Quarterly, [online] 13(3), pp.319–340. doi:https://doi.org/10.2307/249008.
- Diabetes UK (2023). Diabetes Statistics. [online] Diabetes UK. Available at: https://www.diabetes.org.uk/professionals/position-statements-reports/statistics [Accessed 11 Oct. 2023].
- Healthline (2017). Everything You Need to Know About Diabetes in Women. [online] Healthline. Available at: https://www.healthline.com/health/diabetes/symptoms-in-women#How-Diabetes-Affects-Women:-Symptoms [Accessed 11 Oct. 2023].
- Hex, N., Bartlett, C., Wright, D., Taylor, M. and Varley, D.J.D.M., 2012. Estimating the current and future costs of Type 1 and Type 2 diabetes in the UK, including direct health costs and indirect societal and productivity costs. Diabetic medicine, 29(7), pp.855-862.
- Jyotsna, F., Ahmed, A., Kumar, K., Kaur, P., Chaudhary, M.H., Kumar, S., Khan, E., Khanam, B., Shah, S.U., Varrassi, G., Khatri, M., Kumar, S. and Kakadiya, K.A. (2023). Exploring the Complex Connection Between Diabetes and Cardiovascular Disease: Analyzing Approaches to Mitigate Cardiovascular Risk in Patients With Diabetes. Cureus. [online] doi:https://doi.org/10.7759/cureus.43882.
- Lokulo-Sodipe, K., Moon, R.J., Edge, J.A. and Davies, J.H., 2014. Identifying targets to reduce the incidence of diabetic ketoacidosis at diagnosis of type 1 diabetes in the UK. Archives of disease in childhood, 99(5), pp.438-442.
- MacLeod, J., Scher, L., Greenwood, D., Isaacs, D., Albanese-O'Neill, A., O'Neill, M.S., Golden, L. and Scalzo, P. (2021). Technology Disparities and Therapeutic Inertia: A Call to Action for the Diabetes Care and Education Specialist. ADCES in Practice, 9(5), pp.34–41. doi:https://doi.org/10.1177/2633559x211032227.
- NHS (2019). Statistics» Diabetes Data. [online] England.nhs.uk. Available at: https://www.england.nhs.uk/statistics/statistical-work-areas/integrated-performance-measures-monitoring/diabetes-data/.
- Ohkuma, T., Komorita, Y., Peters, S.A.E. and Woodward, M. (2019). Diabetes as a risk factor for heart failure in women and men: a systematic review and meta-analysis of 47 cohorts including 12 million individuals. Diabetologia, 62(9), pp.1550–1560. doi:https://doi.org/10.1007/s00125-019-4926-x.
- Ruston, A., Smith, A. and Fernando, B., 2013. Diabetes in the workplace-diabetic's perceptions and experiences of managing their disease at work: a qualitative study. BMC Public Health, 13, pp.1-10.
- Statista (2023). England: individuals with diabetes 2020/21, by gender. [online] Statista. Available at: https://www.statista.com/statistics/387302/individuals-with-diabetes-by-gender-in-england-and-wales/#:~:text=This%20statistic%20displays%20the%20distribution [Accessed 11 Oct. 2023].
- Tabish, S.A. (2017). Is Diabetes Becoming the Biggest Epidemic of the Twenty-first Century? International journal of health sciences, [online] 1(2), pp.V–VIII. Available at: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3068646/ [Accessed 11 Oct. 2023].
- Vounzoulaki, E., Khunti, K., Abner, S.C., Tan, B.K., Davies, M.J. and Gillies, C.L. (2020). Progression to type 2 diabetes in women with a known history of gestational diabetes: systematic review and meta-analysis. The BMJ, [online] 369. doi:https://doi.org/10.1136/bmj.m1361
- Walsh, J.W., Hoffstad, O.J., Sullivan, M.O. and Margolis, D.J., 2016. Association of diabetic foot ulcer and death in a population?based cohort from the United Kingdom. Diabetic Medicine, 33(11), pp.1493-1498.
- Wilmot, E.G., Lumb, A., Hammond, P., Murphy, H.R., Scott, E., Gibb, F.W., Platts, J. and Choudhary, P., 2021. Time in range: a best practice guide for UK diabetes healthcare professionals in the context of the COVID?19 global pandemic. Diabetic Medicine, 38(1), p.e14433.