| Title |
Nutrition and Health – The Association between Eating Behavior and Various Health Parameters: A Matched Sample Study
|
|---|---|
| Published in |
PLOS ONE, February 2014
|
| DOI | 10.1371/journal.pone.0088278 |
| Pubmed ID | |
| Authors |
Nathalie T. Burkert, Johanna Muckenhuber, Franziska Großschädl, Éva Rásky, Wolfgang Freidl |
| Abstract |
Population-based studies have consistently shown that our diet has an influence on health. Therefore, the aim of our study was to analyze differences between different dietary habit groups in terms of health-related variables. The sample used for this cross-sectional study was taken from the Austrian Health Interview Survey AT-HIS 2006/07. In a first step, subjects were matched according to their age, sex, and socioeconomic status (SES). After matching, the total number of subjects included in the analysis was 1320 (N = 330 for each form of diet - vegetarian, carnivorous diet rich in fruits and vegetables, carnivorous diet less rich in meat, and carnivorous diet rich in meat). Analyses of variance were conducted controlling for lifestyle factors in the following domains: health (self-assessed health, impairment, number of chronic conditions, vascular risk), health care (medical treatment, vaccinations, preventive check-ups), and quality of life. In addition, differences concerning the presence of 18 chronic conditions were analyzed by means of Chi-square tests. Overall, 76.4% of all subjects were female. 40.0% of the individuals were younger than 30 years, 35.4% between 30 and 49 years, and 24.0% older than 50 years. 30.3% of the subjects had a low SES, 48.8% a middle one, and 20.9% had a high SES. Our results revealed that a vegetarian diet is related to a lower BMI and less frequent alcohol consumption. Moreover, our results showed that a vegetarian diet is associated with poorer health (higher incidences of cancer, allergies, and mental health disorders), a higher need for health care, and poorer quality of life. Therefore, public health programs are needed in order to reduce the health risk due to nutritional factors. |
X Demographics
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Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 204 | 21% |
| United Kingdom | 64 | 7% |
| Canada | 38 | 4% |
| Spain | 28 | 3% |
| Mexico | 22 | 2% |
| France | 21 | 2% |
| Netherlands | 19 | 2% |
| Brazil | 18 | 2% |
| Australia | 16 | 2% |
| Other | 129 | 13% |
| Unknown | 416 | 43% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 795 | 82% |
| Practitioners (doctors, other healthcare professionals) | 88 | 9% |
| Scientists | 72 | 7% |
| Science communicators (journalists, bloggers, editors) | 17 | 2% |
| Unknown | 3 | <1% |
Mendeley readers
The data shown below were compiled from readership statistics for 563 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Brazil | 5 | <1% |
| Germany | 4 | <1% |
| United States | 4 | <1% |
| United Kingdom | 3 | <1% |
| Spain | 3 | <1% |
| Italy | 2 | <1% |
| Ireland | 1 | <1% |
| Australia | 1 | <1% |
| Sweden | 1 | <1% |
| Other | 7 | 1% |
| Unknown | 532 | 94% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Bachelor | 99 | 18% |
| Student > Master | 86 | 15% |
| Student > Ph. D. Student | 81 | 14% |
| Researcher | 72 | 13% |
| Other | 37 | 7% |
| Other | 98 | 17% |
| Unknown | 90 | 16% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 112 | 20% |
| Agricultural and Biological Sciences | 93 | 17% |
| Nursing and Health Professions | 46 | 8% |
| Psychology | 32 | 6% |
| Social Sciences | 27 | 5% |
| Other | 140 | 25% |
| Unknown | 113 | 20% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1022. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 15 January 2024.
All research outputs
#15,873
of 25,724,500 outputs
Outputs from PLOS ONE
#238
of 223,919 outputs
Outputs of similar age
#89
of 324,320 outputs
Outputs of similar age from PLOS ONE
#7
of 5,654 outputs
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