It is a well acknowledged truth that memory related diseases like Alzheimer's are common in older people rather than younger ones. Memory tends to becomes less competent with age. It might take longer to learn new things or remember familiar words or names. Many measures can be adopted to reduce the increasing adverse effects of memory like eating a healthy diet, including physical exercise as a part of daily routine and by being social. Despite of adopting these measures to reduce the effects of growing age on health, these problems cannot be eradicated completely. Young people are more energetic and are less viable to diseases because of the strength of their immune system. They have a stronger defense system against diseases because of the age. There is a strong relationship between age and support of health. Aging is inevitable. It is tend to occur but applying few important measures cannot eradicate but can reduce the problems of aging. Young people are healthy as compared to the older one but age one way or the other, affects the health support system.
Income and social status are directly linked to health. Higher income and higher social status somehow influence the health positively; on the contrary, lower income and lower social status will have a negative impact on health. The greater the gap between the affluent and the poor, the greater is the difference in health.Income does have an impact on health and there are multiple reasons that can be pointed out for this impact. Poor people usually have a huge impact on the health support system but not because they have insufficient money but there are other reasons, a society considered by a high degree of income inequality could have poor average health for reasons other than the distribution of income (Raphael, Labonte, Colman, Hayward, & al., 2006). Or countries that spend more money on surgeons may have better health because they are democratic, not because of the surgery. Lack of health care facilities is one of the core reasons that create a link between income and health support system. For instance, consider the case of infant mortality. Infant mortality customarily has been viewedas the measure of health, more strictly ill health that is utmost sensitiveto poverty. Thus, income widens the gap between communities. Higher income and higher social status somehow influence the health positively.It is well evident and well established reality that higher income in directly related with better health support system. Within a country, people with higher income tend to be physically healthier. The basic reasons that can be listed for this direct relation are that higher income means more inputs from the market can be used to improve the health support system. For instance, with increased income in a country, many improved health care systems can be established like health care centers, gyms etc. They will benefit the individuals who are a part of that environment. Higher income also increases the affordability of the individuals and they will tend to buy better housing, food and other health related facilities. As a result of which, health support system will improve positively. Health is a type of human capital. Healthier people are expected to be more productive and prolific and this is also true that healthier people tend to earn well and progress academically as well as professionally. Thus health support has an influence on the income as well. The better the health condition of an individual is, the more he will be positive and dynamic towards his profession (Norton, 1946).
The first hypothesis of this study is that gender has a huge impact on the health support system. According to the research made, men and women somehow affect health support system differently. The research has brought this fact to light that although the life span of women is 5.4 years longer but they are more viable to diseases as compared to men. This indicates that women tend to live longer but not essentially in better health.
The second hypothesis of this study is that aging tends to have a deep impact on health support system. The research has deciphered the fact that young people are more energetic with a better immune and defense system whereas older people have a weak immune system, their heart rate becomes somewhat slower and the heart might become bigger. Even bones, joints and muscles become weaker with age. Muscles usually lose strength and flexibility, and one might become less coordinated or have trouble balancing. Even memory tends to get affected with growing age. It is a well acknowledged truth that memory related diseases like Alzheimer's are common in older people rather than younger ones. Thus, aging has a direct relationship with increased effects on health support system.
The third hypothesis of this study is that income has an impact on health support system. Higher income and higher social status somehow influence the health positively; on the contrary, lower income and lower social status will have a negative impact on health. The greater the gap between the affluent and the poor, the greater is the difference in health. Income does have an impact on health and there are multiple reasons that can be pointed out for this impact. Thus health support has an influence on the income as well. The better the health condition of an individual is, the more he will be positive and dynamic towards his profession (Norton, 1946). The impact income on the life of individuals as well as on the country and its economy are also determined. An economically stable country with a good enough budget tends to invest more on the health care facilities as a result of which, the health of every individual is positively improved.
On the whole, gender, health and age are independent variables where as health support system is a dependent variable. The research has brought this fact to light that gender, age and income directly or indirectly affects the health support system. For instance, women tend to live longer than men according to a research but they are physically weaker and influence the health support system more than men. Similarly, aging has a huge impact on the health support system. Younger people have a better immune system and have less health issues. On the contrary, older people are weak and are more viable to diseases and face multiple health issues which are inevitable due to increasing age. Thus, aging impacts health support system tremendously. Lastly, income is another variable that affects the health support system. Higher income and higher social status somehow influence the health positively; on the contrary, lower income and lower social status will have a negative impact on health. It is not necessary that individual income only affects the health support system. Income of the country one is residing in can also be an influential factor that can affect health support system. For instance, economically stable countries have a way better health care facilities and sanitation system to avoid unnecessary environmental problems which in turn decreases the negative effect on the health support system. Thus, all the three variables directly or indirectly affect the health support system in a significant manner. Another important feature that needs to be thoroughly examined is the relationship between the three independent variables and its combined effect on the health support system. This health support system can be used more practically if all these factors are deeply studied and the knowledge and information attained can be used to provide better services.
For instance, age and gender and income are studies together and then its impact on health support system can be investigated. Create a different sample population like investigating the impact of old poor male on health support system. Similarly, study the impact on health support system of an old poor female, affluent young female, affluent young male, affluent old male and affluent old female. Studying all these samples will give a better idea about the relationship between health support system and relationship between independent variables. This will in turn serve numerous purposes like giving a better idea about integrating funding to deliver more effective services and driving the system with the experience of the customer. This will also help to eradicate the problems associated with health support system and provide quality to improve the life of every individual.
Annandale, E., & Hunt, K. (2000). Gender Inequalities in Health. Philadelphia: Open University Press.
Athenstaedt, U. (2002). Gender Role Self-Concept, Gender Role Attitudes and the Participation in Gender-Typed Vocational and Leisure Sport Courses . Psychologische Beitrage, 33-45.
Manuck, S.B., Jennings, R., Rabin, B.S., & Baum, a. (2000). Behavior, Health, and Aging. Mahwah: Lawrence Erlbaum Associates.
Norton, F.E. (1946). Readings in the Theory of Income Distribution. Philadelphia: The Blakiston Company.
Raphael, D., Labonte, R., Colman, R., Hayward, K., & al., e. (2006). Income…