| Article Citation and Permalink (APA format) |
Martínez-García, M., Salinas-Ortega, M., Estrada-Arriaga, I., Hernández-Lemus, E., & García-Herrera, R. (2018). A systematic approach to analyze the social determinants of cardiovascular disease. PLoS ONE 13 (1) doi:10.1371/journal.pone. 0190960 Link: https://journals.plos.org/ plosone/ article?id=10.1371/ journal.pone.0190960 |
Storck, K., Brandstetter, M., Keller, U., & Knopf, A. (2019). Clinical presentation and characteristics of lymphoma in the head and neck region. Head & face medicine, 15 (1), 1. doi:10.1186/s13005-018-0186-0 Link: https://www.ncbi.nlm.nih.gov/ pmc/articles/ PMC6317257/ |
Nagasu, M., Kogi, K., & Yamamoto, I. (2019). Association of socioeconomic and lifestyle-related risk factors with mental health conditions: a cross-sectional study. BMC Public Health , 1759, 2-13. doi:10.1186/s12889-019-8022-4 Link: https://bmcpublichealth. biomedcentral.com/articles/ 10.1186/s12889-019-8022-4#citeas |
| Point | Description | Description | Description |
| Broad Topic Area/Title | The study was conducted to determine why social determinants leading to cardiovascular diseases continue to be the leading causes of human mortality worldwide. | The main topic of study involves understanding the main characteristics of the head and neck variant of non-Hodgkin lymphoma. This was due to the fatal risks that the disease presents if not diagnosed on time. | The aim of the study was to identify the connections that exist between the various socio-economic status variables and mental health conditions. |
|
Identify Independent and Dependent Variables and Type of Data for the Variables |
The dependent variable was understanding how environment affected each individual reported to have cardiovascular issues. Social factors were also considered such as human population and public health policies. The independent variable is the interrelationships that exist between people living in different contexts and the rate at which the disease affects them. |
The dependent variable in this case is age and the nodal and extranodal involvement. Both were factors that affected the severity of the disease hence necessary in understanding its full reach in the main areas of concern, being the head and neck. The independent variable is the how older people are affected by the diseases as compared to younger people. Data- Extranodal sites account for only 5% of HLs. 30% of NHLs show heterogeneous extranodal manifestations. |
The dependent variables in the study are household disposable income and employment status. The independent variable is the mental health outcomes that manifest between Japanese adults between the ages of 40-69. |
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Population of Interest for the Study |
The researchers took information from different unspecified nations where a notable increase in cardiovascular issues had been noted. | The study mainly targeted individuals who had been treated at the hospital prior to the study and those that were still undergoing treatment. | The research was mainly aimed at Japanese adults between the ages of 40 and 69. |
| Sample |
655 females 625 males The research involved about 1190 articles. 923 were revoked since they did not contain information on SDCVD. 232 were then checked for eligibility. 22.816 neighborhoods. |
The study managed to bring together 221 patients who were already suffering from head and neck HL. 183 were suffering from non-Hodgkin lymphoma (NHL) while about 28 had Hodgkin Lymphoma (HL). Within the 183 NHL, there were 77 indolent, 110 aggressive and 6 highly aggressive NHL. |
3085 participants 1527 males 1558 females |
| Sampling Method | Qualitative data acquired from existing population and past records helped in gaining more knowledge during the research. In-depth content in research material was used in determining the viable content required. | The group of patients was given healthcare at the hospital for a set period of time to acquire the best results. Methods used include clinical examination, age at diagnosis, gender, location in head and neck, ultrasounds, histological findings and survival outcome. | Self-administered questionnaires were provided to the participants to determine their eligibility in the program. Therespondentswere selected through two-stage stratified random sampling. |
|
Descriptive Statistics (Mean, Median, Mode; Standard Deviation) Identify examples of Descriptive statistics in the article. |
The mean clustering coefficient is 0.782 with a characteristic path length of 2.147. |
The mean time from the first appearance of symptoms to diagnosis ranged from 1.5 ± 0.7 months in highly aggressive variants of lymphoma to 7.5 ± 11.5 months in iNHL. Other than the gastrointestinal tract, the head and neck region site in NHL affected 11-33% of patients. |
The mean age of males (54.9 ± 8.8 years) was similar to that of the females (54.5 ± 8.7 years) The rate of those living alone was 10.5% among males and 7.3% among females. |
|
Inferential Statistics (Identify examples of Inferential statistics in the article.) |
WHO had different reach of networks than GH reaching more people than the latter which had a mean clustering coefficient is 0.804, characteristic path length of 1.970. Network centralization is 0.498. |
The researchers found out that the 12% of lymphomas comprises of head and neck malignances. Extranodal involvement in the head and neck occurred at a high frequency of 20-30%. |
Among females, income below 2 million yen was associated with increased risk of mental health issues. Inferential data- < 2 million yen: AOR 1.592 [95% CI: 1.000–2.535] |
References
Martínez-García, M., Salinas-Ortega, M., Estrada-Arriaga, I., Hernández-Lemus, E., & García-Herrera, R. (2018). A systematic approach to analyze the social determinants of cardiovascular disease. PLoS ONE 13 (1) doi:10.1371/journal.pone.0190960
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Storck, K., Brandstetter, M., Keller, U., & Knopf, A. (2019). Clinical presentation and characteristics of lymphoma in the head and neck region. Head & face medicine, 15 (1), 1. doi:10.1186/s13005-018-0186-0
Nagasu, M., Kogi, K., & Yamamoto, I. (2019). Association of socioeconomic and lifestyle-related risk factors with mental health conditions: a cross-sectional study. BMC Public Health , 1759, 2-13. doi:10.1186/s12889-019-8022-4
