| Title |
Obesity in Germany and Italy: prevalence, comorbidities, and associations with patient outcomes
|
|---|---|
| Published in |
ClinicoEconomics and Outcomes Research: CEOR, August 2018
|
| DOI | 10.2147/ceor.s157673 |
| Pubmed ID | |
| Authors |
Marco DiBonaventura, Antonio Nicolucci, Henrik Meincke, Agathe Le Lay, Janine Fournier |
| Abstract |
This study investigated the association between body mass index (BMI) and three comorbid conditions (type 2 diabetes [T2D], prediabetes, and hypertension) on humanistic and economic outcomes. This retrospective observational study collected data from German (n=14286) and Italian (n=9433) respondents to the 2013 European Union National Health and Wellness Survey, a cross-sectional, nationally representative online survey of the general adult population. Respondents were grouped, based on their self-reported BMI, and stratified into three other comorbid conditions (T2D, prediabetes, and hypertension). Generalized linear models, controlling for demographics and health characteristics, tested the relationship between BMI and health status, work productivity loss, and health care resource utilization. Indirect and direct costs were calculated based on overall work productivity loss and health care resource utilization, respectively. The same generalized linear models were also performed separately for those with T2D, prediabetes, and hypertension. The sample of German respondents was 50.16% male, with a mean age of 46.68 years (SD =16.05); 35.24% were classified as overweight and 21.29% were obese. In Italy, the sample was 48.34% male, with a mean age of 49.27 years (SD =15.75); 34.85% were classified as overweight, and 12.89% were obese. Multivariable analyses demonstrated that, in both countries, higher BMI was associated with worse humanistic outcomes and only those from Germany also reported greater direct and indirect costs. Differences in the impact of BMI on outcomes by country were additionally found when the sample was stratified into those with prediabetes, T2D, and hypertension. The high percentage of patients who are overweight or obese in Germany and Italy remains problematic. Better elucidating the impact of overweight or obese BMI, as well as the incremental effects of relevant comorbid conditions, on humanistic and economic outcomes is critical to quantify the multifaceted burden on individuals and society. |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Greece | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Practitioners (doctors, other healthcare professionals) | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 93 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 93 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 16 | 17% |
| Researcher | 11 | 12% |
| Student > Bachelor | 10 | 11% |
| Student > Ph. D. Student | 9 | 10% |
| Student > Doctoral Student | 8 | 9% |
| Other | 10 | 11% |
| Unknown | 29 | 31% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 18 | 19% |
| Nursing and Health Professions | 9 | 10% |
| Biochemistry, Genetics and Molecular Biology | 7 | 8% |
| Computer Science | 5 | 5% |
| Agricultural and Biological Sciences | 4 | 4% |
| Other | 17 | 18% |
| Unknown | 33 | 35% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. 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 12 September 2018.
All research outputs
#22,867,974
of 25,498,750 outputs
Outputs from ClinicoEconomics and Outcomes Research: CEOR
#487
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Outputs of similar age
#299,311
of 342,157 outputs
Outputs of similar age from ClinicoEconomics and Outcomes Research: CEOR
#8
of 9 outputs
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