Contextual Factors’ Impact Personal, Social And Cultural Wellbeing Of A Person

Each individual’s personal, cultural and social context has a different impact. However, context factors have a significant impact on how individuals respond to different situations. Julie Williams (49 years old) was taken to the hospital by an intoxicated woman after she fell and fractured her right leg. Unemployed, without a family, no address or family in Christchurch, Williams has type two diabetes and low literacy. This essay will help you identify the contextual factors that contributed to her poor health. This essay will examine the impact of these factors on her acute presentation.

Combining contextual factors can create an individual’s cognitive and emotional state. This is more important for understanding psychological relationships than understanding their response. Collaboration effectiveness is affected by the environment and ecology. Julie has T2DM, which is a result of her unhealthy lifestyle, including smoking, alcohol intake, exercise, diet, and sedentary living. Julie has a low literacy rate, is unemployed and doesn’t live in Christchurch. Her health may also have been affected by her life experiences and cultural values. Other factors include gender, age and socioeconomic status. Diabetic people are more likely to have anxiety and depression. This is consistent with research that suggests a positive association between anxiety and depression as well as high-risk alcohol intake. Julie’s health behaviours are important before and after discharge. Bakker et al. Hobbs et.al. Hobbs and colleagues. People who are constantly in stressful situations may need to resort to binge-eating, smoking, and other coping strategies. Bailey et.al. agree with Cavanaugh. It is also common for people with diabetes to be low-literate in math and health literacy. It is also linked to poor self-efficacy. Julie fell after becoming intoxicated. She is also a diabetic. This indicates that her healing abilities may be impaired. Alcohol consumption can also affect her hospital stay and increase her chances of getting sick. Due to her low understanding, this can increase her risk of infection. She may not have had the ability to read and write well enough to be able access to medical care. Inability to build rapport is due to a lack of support from her family and no fix abode. Adherence to diabetes management requires social and family support. Families are an integral part of self-management strategies for diabetes. This is supported by strong cultural and theoretical bases.

Gender and socioeconomic status play an important role. Schultz and colleagues. Schultz and colleagues. It is a strong predictor of mortality as well as morbidity. However, there are no direct correlations between income and education. Julie is low-skilled, unemployed and has T2DM. Bakker et al. Bakker and colleagues. This may also relate to Julie’s access to healthcare and ability to purchase stable housing. Schultz et al. Schultz and colleagues. Lowest education levels were more at risk for developing chronic health conditions and had higher prevalence rates.

T2DM development is also affected by Kautzky, Harreiter, Pacini, and Harreiter state genders. It is often diagnosed in younger men. Women are more at risk for obesity than men, however. Hobbs et al. T2DM can be linked to physical activity, obesity, and socioeconomic status, according to Hobbs et.al. Aiken’s and Gordon Singh’s state that Aiken has a high level of health literacy are both significantly related to their educational levels and their age. Findings suggest that there is no correlation between health literacy and diabetes outcomes. Higher education levels may be more important than being in a high-ranking occupation or having a high income. This could explain the closer association between education and diabetes. Education may also have a greater impact on the formation of behavioural habits.

This can influence how we behave in the future and ultimately our health. Research has shown that poor glucose metabolism is influenced by behavioural predictors of SES. Evidence from statistical associations supports the hypothesis that SES influence health behaviours, and can predict the development of diabetes. Research found that education was a stronger indicator of socioeconomic level for diabetes development than income and occupational class. Julie’s diabetes management after her discharge may be improved if she has a better understanding and increased knowledge about it.