| Chapter title |
Does Health Perception, Dietary Habits and Lifestyle Effect Optimism? A Quantitative and Qualitative Study
|
|---|---|
| Chapter number | 4 |
| Book title |
GeNeDis 2016
|
| Published in |
Advances in experimental medicine and biology, January 2017
|
| DOI | 10.1007/978-3-319-56246-9_4 |
| Pubmed ID | |
| Book ISBNs |
978-3-31-956245-2, 978-3-31-956246-9
|
| Authors |
Aikaterini Kargakou, Athanasios Sachlas, Georgios Lyrakos, Sofia Zyga, Maria Tsironi, Andrea Paola Rojas Gil, Kargakou, Aikaterini, Sachlas, Athanasios, Lyrakos, Georgios, Zyga, Sofia, Tsironi, Maria, Rojas Gil, Andrea Paola |
| Abstract |
The aim of the study was to investigate the relationship between optimism, general health perception, nutritional habits and lifestyle. A quantitative study was conducted on 500 Greek adults. A standardized questionnaire was used which consisted of the General Health Self-Assessment Questionnaire (GHSAQ), the Life Orientation Test-Revised (GrLOT-R), the dietary habits and lifestyle questionnaire. A qualitative study was conducted through interviews and focus groups. Participants' average score of GrLot-R was 20.47 (±4.017) units. The highest GrLot-R score was statistically correlated to more frequent consumption of fruits, salads, dairy products, olive oil, high-fibre cereals and water and to the lower consumption of canned products. Multivariate analysis showed that optimism is significantly positively predicted by the factors "Vitamin K & A", "Vitamin C", and negatively by "Preservatives." There was also a positive correlation between GrLot-R and GHSAQ. The qualitative study analysis showed that physical exercise, duration/quality of sleeping, family and stress affected participants' optimism. It seems that intrinsic factors as vitamins, preservatives, a healthy lifestyle and extrinsic factors as the family background and the environment that someone is raised, affect the level of optimism. |
X Demographics
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 1 | 33% |
| Unknown | 2 | 67% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 67% |
| Scientists | 1 | 33% |
Mendeley readers
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 26 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 3 | 12% |
| Student > Ph. D. Student | 3 | 12% |
| Professor | 2 | 8% |
| Student > Bachelor | 2 | 8% |
| Student > Doctoral Student | 2 | 8% |
| Other | 2 | 8% |
| Unknown | 12 | 46% |
| Readers by discipline | Count | As % |
|---|---|---|
| Psychology | 5 | 19% |
| Nursing and Health Professions | 2 | 8% |
| Biochemistry, Genetics and Molecular Biology | 1 | 4% |
| Arts and Humanities | 1 | 4% |
| Economics, Econometrics and Finance | 1 | 4% |
| Other | 3 | 12% |
| Unknown | 13 | 50% |