Impact of Social Determinants on Health

Impact of Social Determinants on Health Song et al (2011) studied the influence of social determinants of health on disease rates. They specified AIDS as the disease of concern and utilized data from American Community Survey. They used correlation and partial correlation coefficients quantify the effect of socioeconomic determinants on AIDS diagnosis rates in certain areas and found that the AIDS diagnosis rate was mutually related with kind, marital status and population density. Poverty, education level and unemployment also determine the cause of disease in an individual. In developed and developing countries socioeconomic status proved to be an important cause of cardiovascular disease. Survey studies showed that education was the most important socioeconomic determinant in relation to cardiovascular risk factor. Smoking was also a major cause of cardiovascular disease. Low socioeconomic status had a direct relationship with higher levels of cardiovascular risk factors (Yu et al, 2000; Reddy et al, 2002; Jeemon Reddy, 2010; Thurston et al, 2005; Janati et al, 2011 and Lang et al, 2012). Lantz et al (1998) investigated the impact of education, income and health behaviors on the risk of dying within the next 7.5 years with longitudinal survey study. The results of cross tabulation showed that the mortality rate has a strong association with education and income. Habib et al (2012) conducted a questionnaire based survey to measure the social, economic, demographic and geographic influence on the disease of bronchial asthma in Kashmir valley. After analysis in SPSS they concluded that non smokers, males working in farms and females working with animals have a high incidence of Bronchial Asthma. The study also showed a significant relationship between the age and disease. Arif and Naheed (2012) used â€Å"The Pakistan Social and Living Standard Measurement Survey 2004-05† conducted by the Federal Bureau of Statistics to determine the socioeconomic, demographic, environmental and geographical factors of diarrhea morbidity among the sampled children. Their study found a relationship between diarrhea morbidity and economic factors particularly ownership of land, livestock and housing conditions. Child’s gender and age, total number of children born, mother’s age and education and sources of drinking water did show significant effect on the diarrhea morbidity among children. Aranha et al (2011) conducted a survey in Brazil’s district Sà £o Paulo, to determine the association between children’s respiratory diseases reported by parents, attendance at school, parents’ educational level, family income and socioeconomic status. By applying chi square test they concluded that the health of children is associated with parents’ higher education, particularly mothers. Family income, analyzed according to per capita income did not affect the number of reports of respiratory diseases from parents. Deolalikar and Laxminarayan (2000) used data from 1997 Cambodia Socioeconomic Survey to estimate the influence of socioeconomic variables on the extent of disease transmission within villages in Cambodia. They concluded that infectious diseases were the leading cause of morbidity in the country. Younger adults were less likely to get infected by others, but it increased with age. Income and the availability of a doctor had a significant effect on disease transmission. Survey studies based on different countries showed a strong association between socioeconomic factors (income, education and occupational position) and obesity. After analysis there was a significant effect of consumption of low quality food due to economic factors on increased obesity. For men, both the highest level of occupational position and general education completed were found to have a significant effect on obesity while women in the lowest income group were three times as likely to be obese as women in the highest income group (Kuntz and Lampert, 2010; Akil and Ahmad, 2011 and Larsen et al, 2003). Yin et al (2011) used data from the 2007 China Chronic Disease Risk Factor Surveillance of 49,363 Chinese men and women aged 15-69 years to examine the association between the prevalence of self-reported physician diagnosed Chronic Obstructive Pulmonary Disease (COPD) and socioeconomic status defined by both educational level and annual household income. Multivariable logistic regression modeling was performed. Among nonsmokers, low educational level and household income were associated with a significant higher prevalence of COPD. Siponen et al (2011) tried to study the relationship between the health of Finnish children under 12 years of age and parental socioeconomic factors (educational level, household income and working status) by conducting population based survey. The analysis was done by using Pearson’s Chi-Square tests, and logistic regression analysis with 95% confidence intervals. The results showed that parental socioeconomic factors were not associated with the health of children aged under 12 years in Finland. Washington State Department of Health (2007) examined Washington adults and inferred that adults with lower incomes or less education were more likely to smoke, obessed, or ate fewer fruits and vegetables than adults with the broader culture, higher incomes and more education. In cultures where smoking was culturally unacceptable for women, women died less often from smoking-related diseases than women in groups where smoking was socially accepted. Lack of access to or inadequate use of medical services, contributed to relatively poorer health among people. In lower socioeconomic position groups health care received by the poor was inferior in quality. People of higher socioeconomic position had larger networks of social support. Low levels of social capital had been associated with higher mortality rates. People who experienced racism were more likely to have poor mental health and unhealthy lifestyles. Hosseinpoor et al (2012) took self-reported data, stratified by sex and low or middle income, from 232,056 adult participants in 48 countries, derived from the 2002–2004 World Health Survey. A Poisson regression model with a robust variance and cross tabulations were used deducing the following results. Men reported higher prevalence than women for current daily smoking and heavy episodic alcohol drinking, and women had higher growth of physical inactivity. In both sexes, low fruit and vegetable consumption were significantly higher. Braveman (2011) concluded that there was a strong relationship between income, education and health. Health was improved if income or education increased. Stressful events and circumstances followed a socioeconomic incline, decreased as income increased. Lee (1997) examined the effects of age, nativity, population size of place of residence, occupation, and household wealth on the disease and mortality experiences of Union army recruits while in service using Logistic regression. The patterns of mortality among recruits were different from the pattern of mortality among civilian populations. Wealth had a significant effect only for diseases on which nutritional influence was definite. Migration spread communicable diseases and exposed newcomers to different disease environments, which increased morbidity and mortality rate. Ghias et al (2012) studied the patients having HCV positive living in province of Punjab, Pakistan. Socio-demographic factors and risk factors were sought out using questionnaire. Logistic regression and artificial neural network methods were applied and found that patient’s education, patient’s liver disease history, family history of hepatitis C, migration, family size, history of blood transfusion, injection’s history, endoscopy, general surgery, dental surgery, tattooing and minor surgery by barber were 12 main risk factors that had significant influence on HCV infection. REFERENCES Song, R. et al (2011) â€Å"Identifying The Impact Of Social Determinants Of Health On Disease Rates Using Correlation Analysis Of Area-Based Summary Information† Public Health Reports Supplement 3, Volume 126, 70-80. Yu, Z. et al (2000) â€Å"Associations Between Socioeconomic Status And Cardiovascular Risk Factors In An Urban Population In China† Bulletin of the World Health Organization Volume 78, No. 11, 1296-1305. Reddy, K. et al (2002) † Socioeconomic Status And The Prevalence Of Coronary Heart Disease Risk Factors† Asia Pacific J Clin Nutr Volume 11, No. 2, 98–103. Jeemon, P. Reddy, K. (2010) †Social Determinants Of Cardiovascular Disease Outcomes In Indians† Indian J Med Res Volume 132, 617-622. Thurston, R. et al (2005) â€Å"Is The Association Between Socioeconomic Position And Coronary Heart Disease Stronger In Women Than In Men?† American Journal of Epidemiology Volume 162, No. 1, 57-65. Janati, A. et al (2011) â€Å"Socioeconomic Status and Coronary Heart Disease† Health Promotion Perspectives Volume 1, No. 2, 105-110. Lang, T. et al (2012) â€Å"Social Determinants Of Cardiovascular Diseases† Public Health Reviews Volume 33, No. 2, 601-622. Lantz, P. et al (1998) â€Å"Socioeconomic Factors, Health Behaviors, and Mortality† JAMA Volume 279, No. 21, 1703-1708. Habib, A. et al (2012) â€Å"Socioeconomic, Demographic and Geographic Influence on Disease Activity of Bronchial Asthma in Kashmir Valley† IOSR Journal of Dental and Medical Sciences (JDMS) ISSN: 2279-0853, ISBN: 2279-0861, Volume 2, No. 6, 04-07. Arif, A. and Naheed, R. (2012) â€Å"Socio-Economic Determinants Of Diarrhoea Morbidity In Pakistan† Academic Research International ISSN-L: 2223-9553, ISSN: 2223-9944 ISSN-L: 2223-9553, ISSN: 2223-9944, Volume 2, No. 1, 490-518. Aranha, M. et al (2011) â€Å"Relationship Between Respiratory Tract Diseases Declared By Parents And Socioeconomic And Cultural Factors† Rev Paul Pediatr Volume 29, No. 3, 352-356. Deolalikar , A. and Laxminarayan, R. (2000) â€Å"Socioeconomic Determinants of Disease Transmission in Cambodia† Resources for the Future Discussion Paper, 00–32. Kuntz, B. and Lampert, T. (2010) â€Å"Socioeconomic Factors and Obesity† Deutsches Ärzteblatt International Volume 107, No. 30, 517-22. Akil, L. and ; Ahmad, H. (2011) â€Å"Effects Of Socioeconomic Factors On Obesity Rates In Four Southern States And Colorado† Ethnicity Disease Volume 21, 58-62. Larsen, P. et al (2003) â€Å"The Relationship of Ethnicity, Socioeconomic Factors, and Overweight in U.S.Adolescents†OBESITY RESEARCH Volume 11, No.1, 121-129. Yin, P. et al (2011) â€Å"Prevalence Of COPD And Its Association With Socioeconomic Status In China: Findings From China Chronic Disease Risk Factor Surveillance 2007† BMC Public Health Volume 11, 586-593. Siponen, M. et al (2011) â€Å"Children’s Health And Parental Socioeconomic Factors: A Population-Based Survey In Finland† BMC Public Health Volume 11, 457-464. Washington State Department of Health (2007) â€Å"Social and Economic Determinants of Health† The Health of Washington State Volume 1, No. 3, 01-07. Hosseinpoor, A. et al (2012) â€Å"Socioeconomic inequalities in risk factors for noncommunicable diseases in low-income and middle income countries: results from the World Health Survey† BMC Public Health Volume 12, 912-924. Braveman, P. (2011) â€Å"Accumulating Knowledge on the Social Determinants of Health and Infectious Disease† Public Health Reports Supplement 3, Volume 126, 28-30. Lee, C. (1997) â€Å"Socioeconomic Background, Disease, and Mortality among Union Army Recruits: Implications for Economic and Demographic History† Explorations in Economic History Volume 34, 27-55. Ghias, M. et al (2012) â€Å"Statistical Modelling and Analysis of Risk Factors for Hepatitis C Infection in Punjab, Pakistan† World Applied Sciences Journal Volume 20, No. 2, 241-252.

Relationship Between Macbeth and Lady Macbeth Essay

Almost every relationship has those critical arguments or confrontations and requires communication as well as collaboration to overcome its challenges. This is the case between Macbeth and Lady Macbeth where two different personalities and characteristics begin to clash against one another and push each other to their limits. As the play progresses, Lady Macbeth’s motives and desires are revealed and as a result, her aspirations get the best of her and starts to influence her husband Macbeth to take the path of potentially being king which ultimately involves elements of death, fraud, and exploitation. Throughout act one of â€Å"Macbeth†, Macbeth and Lady Macbeth share a controlling yet cooperative relationship. Lady Macbeth plays a very significant role in influencing Macbeth to choose the path towards higher royalty. Her own ambitions of being queen alongside her husband motivated her to plot a wicked act to overthrow or maybe even kill the king. Lady Macbeth first realizes the possibility of being queen in act 1, scene 5, lines 14-15 in which she states, â€Å" Glamis thou art, and Cawdor; and shalt be what thou art promised. When she hears of the news, she immediately begins plotting to gain her husbands desire to be king but while doing so, she questions Macbeth as well as his abilities and personality. Lady Macbeth’s first instinct is to act with cruelty rather than loyalty, revealing her dark nature which go to beyond measures to obtain her desires. Also, starting from line 15 of Act 1, Scene 5, Lady Macbeth states, â€Å"Yet do I fear thy nature; it is too full o’th’milk of human kindness to catch the nearest way†; in other words, Macbeth is a good-hearted man. She knows her husband too well to believe that he would be willing to do any wicked act such as murder especially against the king. As a result, she resolves to convince her husband to do whatever is required to seize the crown. She also believes that by putting her femininity aside, she can possibly do any of the darkest and most wicked acts to possibly seize the crown. Lady Macbeth plays the dominant character throughout the opening scenes, in which she asserts her ambition for her and her husband to gain hierarchic status. Her best bet is to try to influence Macbeth is by questioning his anhood. Through parts of act 1, scene 7, Macbeth gives her his reasons why he shouldn’t kill the king: karma, being the king’s host, being loyal as his subject, the king being humble leader, and compliments given to him by the king made him look favorable in the eyes of the people. It is fair to say that Macbeth does have ambition, but at this point in the play, his conscience is str onger than ambition giving him less motivation to kill the king. As a result, Lady Macbeth repeatedly questions his manhood in the hope that he will defend himself by carrying out the murders. It seems to me that Macbeth has a mental struggle with his masculinity, because Lady Macbeth deprives him of it when he is at his lowest moments and then try to win him over by giving him compliments and expletive comments for example in act 1, scene 7, lines 49-59 in which Lady Macbeth states, â€Å"When you durst do it, then you were a man; and to be more than what your were, you would be so much more the men†¦.. Does unmake you. I have given suck, and know how tender ‘tis to love the babe that milks me. I would, while it was smiling in my face, have plucked my nipple from his boneless gums and dashed the brains out, had I so sworn as you have done this. † Basically, she dares him to commit the murder, using words that taunt rather than persuade in which it frightened and shocked Macbeth so much that he, as a result gives in to her orders. At this point we see Lady Macbeth as a persistent and strong women, while we see Macbeth as her indecisive and cowardly husband in which Lady Macbeth’s uses her strong characteristics to undermine Macbeth’s in order for him to cooperate with her ideas. Under her spell, all of Macbeth’s objections seem to evaporate and he is left only with a weak â€Å"If we should fail? † which is in line 58 of act 1, scene 7. Macbeth is not a good man at this point in the play, but he is not yet an evil one; he is tempted, and he tries to resist temptation. Macbeth’s resistance, however, is not effective enough to stand up to his wife’s ability to manipulate him. We finally get a sense that Macbeth is willing to do what his wife asks of him. She acts as a catalyst for Macbeth to commit treason by disregarding his rational, moral arguments and challenging his manhood.. As a result, Macbeth and Lady Macbeth cooperate and plot to get the servants drunk, and during that time Macbeth and Lady Macbeth would kill King Duncan and frame the drunken guards. In line 79-80 of act 1 scene 7, Macbeth states, â€Å"I am settled, and bend up each corporal agent to this terrible feat. † Since Macbeth succumbs to Lady Macbeth’s wishes, Shakespeare re-confirms just how close the relationship between Macbeth and Lady Macbeth is and that she has the power and he listens to whatever she has to say whether if it’s for his own good or not. Macbeth and Lady Macbeth share a very complex relationship between each other. Lady Macbeth is a complicated woman in the beginning of the play; she was strong and courageous, yet deceitful and problematic. Lady Macbeth endangered Macbeth’s life because had it not been for her influence and motivation, Macbeth would not have been so thirsty for the crown as well the overthrowing of those who currently held it. Lady Macbeth is Macbeth’s soulmate as well as other half, and in doing so she controlled him and his brain, convincing him to do the most wicked acts. If it wasn’t for her, who knows what fate would have brought to Macbeth and his legacy.

How successful the D-Day landings were

There were different levels of successes and failures at different areas of D-day. The British airborne had many successes. Not only were they the first units to fly over the Channel Islands, dropping ruperts and windows on Roven, but they captured all their targets (including the town of Sainte Mere Englise). The Germans thought there was no chance of attack due to the abominable weather conditions that day which left them venerable. They did, of course, also experience failures. There was fierce German resistance. This obviously made it very difficult for them to reach their specific targets. Source G mentions that â€Å"much has been made of the poor quality of the German troops defending the Channel coast† I think this probably depends in which country you are in. If you are German then the story is probably told very differently. Even here in England we know that the resistance form the Germans was fierce and was indeed hard to overcome. However, with the allies good troops and their excellent new technology they managed to overcome this obstacle. Source G also mentions that the German troops brought the allies close to defeat on Omaha beach. I don't believe this too be true. Although Omaha was one of the most difficult areas of D-day, the allies won the battle and the defences were breached. Overall, the British airborne area of D-day was very successful. Helping to capture many of the D-day targets. The US airborne was not as successful as the British. They landed 25 miles off course and lost 60% of their equipment. The postponement of D-day had meant a 48 hour vigil on the sea floor, crews endured horrific cramped conditions. The US could have been more organised, this may have led to less mistakes. However, they did eventually recoup and secure their targets. At Utah, troops pushed inland and secured the beach. US reports said operations at Utah were â€Å"smooth, perfectly coordinated and magnificent†. Nevertheless, the beach was heavily lined with mines. Overall, all went well, only real problem was with the mines, but even that was overcome. At Omaha the battle was won and the defences breached. Anyhow, there were huge amounts of casualties. Some were caused by rough seas, some by underwater beach obstacles and some by enemy fire. Lots of tanks were lost and fog and heavy cloud made off course bombs. In conclusion, although there was a devastating amount of casualties, they did finally liberate Omaha beach. At Gold the troops used Hobart funnies, which helped to keep the losses relatively light. The troops pushed into Bayeux and by 8. 00am villages were celebrating liberation. The beach was extensively mined and covered by heavy guns and the villages provided cover for the German snipers. Moreover, although there was strong resistance, the losses were relatively light. At Juno beach the Canadians also used Hobart funnies to get round the huge obstacles. By the evening the troops were heading for Caen. Although the area was protected by heavy guns, perhaps the most difficult part was getting around the obstacles such as a tall concrete wall, which all made up parts of the Atlantic wall. Source H shows some of those parts. The pictures infer ally failure. They also seem to be posed, as if they are trying to impress people with their fierce looking defences. You can see this because in the first picture, for example, there is no one on the beach, and on the third the soldier looks like he has been told to stand there for the picture. Even with all these drastic defence mechanisms, the allies still managed to clear them using the Hobart Funnies. At Sword, the biggest worry was the very strong Le Havre battery, with guns across the landing area, there was also very poor visibility. Even so, the seafront defences were breached and the population of Ouistreham was delighted to find that their liberators included a â€Å"free French† battalion. The mulberry harbours were constructed, and the teams of surgeons came over with them. Both the Americans and the British used Mulberry Harbour's. Despite the American harbour being wrecked by heavy weather after 4 days use, the Harbours played a vital part in the success of ‘Operation Overlord'. In the first 6 days of use of the British Mulberry, 326,000 troops, 54,000 vehicles and 100,000 tons of supplies were handled. Source D is the British harbour at Arromanches. The mulberry in the picture looks very successful, with everything appearing to be in working order. Some people even go as far as saying that mulberry harbours were the greatest invention that came out of D-day. In conclusion, I think the D-day landings were very successful for the allies. After all, not only did they breach all of the German defences, they fought a victorious and courageous battle.

The Independent Variables ( Iv ) Are The Students Gender...

The Independent variables (IV) are the students’ gender and grade level. The number of bullying incidence experienced by students, how often incidents occur based upon grade level and gender, and the frequency in which participants were the victim or aggressor when bullying behavior occurred were the dependent variables (DV). Methodology and Research Design A quantitative design was utilized for this study. This design used descriptive and correlation statistics which compared and analyzed data within groups when describing the number of bullying incidents as it relates to gender, grade level, and age. Distribution tables were created showing the frequency of bullying incidents according to gender and grade levels. The results were categorized for girls, boys, and both combined. A Mann-Whitney U test was conducted to find out if statistical differences occurred in the number of bullying incidents based upon the gender of victims and bullies. This test works best when a survey instrument representing ordinal data is used. In this case, the OBQ instrument was used. Before the Mann-Whitney U test can be conducted, the OBQ data had to be entered into software called the Predictive analysis software (PASW). The chi-square statistical test was also used to compare data in categories that are within groups. The validity and reliability of OBQ was assess using the Rasch measurement model which sets the condition at which responses are structured and does not onlyShow MoreRelatedRelationship Between Gender And Math1220 Words   |  5 Pagesrelationship between genders and math comfortability when controlling for class type? Hypotheses Null Hypothesis (H0): There is no statistically significant relationship between gender and math comfortability when controlling for class type. Alternative Hypothesis (HA): There is a statistically significant relationship between gender and math comfortability when controlling for class type. 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