In this article we present the situation of the [613840]

5Abstract
In this article we present the situation of the
Romanian population suffering from severe obe-sity (measured using BMI), focusing on speci fi c
situations with regard to age, gender, residence, development region or educational level. The main dataset used for the current paper is ex-tracted from the Romanian Report for 2008 Euro-pean Health Interview Survey (EHIS). The sam-ple (a representative one) consists of more than 10,000 randomly selected households. Also, the article shows the consequences of this economic and social state especially for people who have been forced to seek surgical treatment. All fi nan-
cial estimates regarding the obesity burden are produced at country level.
Keywords: obesity, quantitative methods,
body mass index, BMI.QUANTITATIVE METHODS
TO ANALYZE THE SEVERE OBESITY IN ROMANIA AND ITS IMPACT OVER PUBLIC ADMINISTRATION HEALTH EXPENDITURES
Cătălina Liliana ANDREI
Ruxandra Diana SINESCU
Claudiu HER ȚELIU
Andreea MIRIC Ă
Cătălina Liliana ANDREI (Corresponding author)
Associate Professor, University of Medicine
and Pharmacy “Carol Davila”, Bucharest, RomaniaTel.: 0040-722-620-680E-mail: [anonimizat]
Ruxandra Diana SINESCU
Associate Professor, University of Medicineand Pharmacy “Carol Davila”, Bucharest, Romania
Claudiu HER ȚELIU
Professor, Department of Statistics and Econometrics,
University of Economic Studies, Bucharest, Romania
Andreea MIRIC Ă
Assistant Professor, Department of Statistics and
Econometrics, University of Economic Studies, Bucharest, Romania
Transylvanian Review
of Administrative Sciences,
No. 55 E/2018 pp. 5-17DOI:10.24193/tras.55E.1
Published First Online: 2018/10/23

61. Introduction
Since its creation by the Belgian scientist, Quetelet, more than a century and a half
ago (Garrow and Webster, 1985), the body mass index (BMI), because of its ease of
calculation and interpretation, has emerged as a good predictor of positioning a par-ticular person regarding what accepted standards (e.g., WHO, 2006) consider as nor-mal.
Certainly there are many works (Sturm, 2007 or Farrant et al. , 2013 just to name a
few) who consider that BMI should be contextualized by region (country, continent), age or gender. However, BMI continues to be successfully used in measuring the de-sirable weight that a person ought to have according to height. As it is known, the formula for calculating this indicator is:
()2)()(
m Heightkg MassBMI =
According to WHO (2006) obesity (OB) occurs when BMI>30, severe obesity (SO)
occurs when BMI> 35 and severe extreme obesity (SEO) occurs when BMI> 40. Just as in other Western countries the prevalence of obesity in recent years in Romania is in a continuous growth (Afshin et al. , 2017; Barbu et al. , 2015). The negative e ff ects
of SO and SEO become, nowadays, common knowledge (Haslam and James, 2005; Afshin et al. , 2017). Firstly, a major impact was observed on life expectancy where
persons with SO may register 6-7 lost years while SEO may induce a loss of 10 years. The second negative e ff ect is related to the morbidity. There are major demonstrat-
ed connections between SO and SEO and illnesses like: diabetes, hypertension, coro-nary artery disease, stroke and arthritis (Wang et al. , 2017). Thirdly, it is about higher
costs regarding health care for persons being a ff ected by SO and/or SEO (Andreyeva,
Sturm and Ringel, 2004). One of the aims of our paper is to provide an estimation for this third negative e ff ect in Romania.
The paper is structured in a classical manner. The second section highlights the
data and the methods, the third one provides mainly data analysis, and the fourth section estimates the fi nancial burden of the obesity in Romania while the last section
concludes.
2. Source of data and methodology
This article analyzes statistical information published by the National Statistics In-
stitute in 2008 (like Ausloos, Herteliu and Ileanu, 2014) following the implementation
of an EU-funded project by a consortium of Statistics Sweden, ICON Institute, Digital Data Services and Irecson Institute. The project was entitled ‘The health of the popu-lation of Romania’. This project was part of a wider European one: European Health Interview Survey (EHIS) which occurred in all EU countries in 2008 (Eurostat, 2015). In the 2008 project, a questionnaire was applied to a representative sample consisting of 10,140 regional households all over the country. Within these households, 21,428 interviews were conducted (about 88% of them comprised adult persons, while 12%

7children). In the analysis of BMI only those persons with at least 18 years were taken
into account.
In terms of territorial analysis, it is worth mentioning that according to the Euro-
pean body for statistics (Eurostat) the national territory is divided into hierarchical levels according to the NUTS classi fi cation (Nomenclature of territorial units for sta-
tistics)
1.
In our approach we will use speci fi c methods (descriptive statistics) and, where
appropriate, some statistical tests (Chi Square and other similar) to validate or not the consistency/ associations between variables. Statistical analyzes were performed us-ing Excel. Graphs were designed with PowerPoint, and maps using ArcGIS software. Following this approach, our paper aims to provide an answer for the following re-search questions (RQ).
RQ1: Is the prevalence of obesity in Romania di ff erent from Europe?
RQ2: Are there any di ff erences in the prevalence of obesity in Romania when bro-
ken down by population, geographical regions, age or gender?
RQ3: What is the potential level of the annual fi nancial burden of obesity in Roma-
nia?
3. Data analysis
Before answering these research questions, we have to analyze the data within an
international context. Unfortunately, data on each category of obesity is not available
on Eurostat (2015). Thus, an international comparison regarding SO and SEO cannot be performed. Even so, under the assumption that the distribution of SO and SEO has good chances to be quite similar to OB ones, we present the situation of obesity at the European level in Figure 1.
As one can observe, Romania registered the best situation within all the EU coun-
tries involved within EHIS. The share of people over 18 years who were obese (OB) ranges between 7.6% (for male) and 8.0% (for female). It is important to state that Romania is the only country in the list with an OB share lower than 10%. The worse situation was registered in Malta (22.9%). Moreover, there are plenty of Eastern Eu-ropean countries (Hungary, Estonia, Latvia, and Czech Republic) with higher regis-tered values compared to Western European countries (France, Spain, Belgium).
1 Thus, in Romania (Eurostat, 2014) NUTS1 are called macroregions. There are four such macrore-
gions. The fi rst one includes the North-West region (Bihor, Bistrita-Nasaud, Cluj, Maramures,
Satu Mare and Salaj counties) and Center (Alba, Brasov, Covasna, Harghita, Mures and Sibiu counties). The second comprises the North-East region (counties of Bacau, Botosani, Iasi, Nea-mt, Suceava and Vaslui) and South East (Braila, Buzau, Constanta, Galati, Tulcea and Vrancea counties). The third macro includes the Southern Region (Arges, Calarasi, Dâmbovi ța, Giurgiu,
Ialomita and Prahova counties) and Bucharest-Ilfov (Bucharest and Ilfov). The Last macroregion includes the South-West region (Dolj, Gorj, Mehedinti, Olt and Valcea counties) and West (Arad, Caras-Severin, Hunedoara and Timis counties).

8
Figure 1: The prevalence of obesity within EU countries in 2008
In Romania, the share of people over 18 years who were severely obese (SO) or
extremely severely obese (SEO) nationwide was 1.5%, representing almost 260,000
people in absolute value. This value should raise awareness in Romania as socio-eco-nomic impacts of SO and SEO cannot be neglected, knowing that the fi nancial e ff ort
induced by treatment increases geometrically (Mora, Gil and Sicras-Mainar, 2014) with the inclusion of the patients in the category SO or SEO. Unlike other countries like USA, Germany, where the share of the SO or SEO population is located at a level higher than 6% (Sturm, 2007 or Palmo, 2013), Romania has a much be tt er position yet.

9This level of prevalence of SO and SEO was not evenly distributed within the popula-
tion. An illustration of the situation according to gender and age is shown in Figure 2.
Severe obesity (SO) and severe extreme obesity (SEO) signi fi cantly aff ect the cost
of public health. Recent research (Mora, Gil and Sicras-Mainar, 2014 or Sturm et al.,
2013) have demonstrated that SO cost increases can be higher than 11%-16% while SEO can lead to costs higher by 23%-25% compared to normal patients. The addition-al costs are also related to the need for special facilities for patients a ff ected by the
SO and SEO that present comorbidities. When we say special infrastructure, we refer primarily to the need to equip with beds, chairs, surgical tables, imaging equipment (computer tomography, magnetic nuclear resonance) appropriate for persons with special dimensions. Additional costs due to SO and SEO refers to the fact that the existence of comorbidities complicate their treatment and the costs further increase.
Figure 2: Prevalence SO and SEO by age and gender in Romania
For lower age groups SO and SEO prevalence is much higher in the male contin-
gent: levels of 0.3% (3.3 thousands persons) and 0.7% (12.4 thousands persons) than female where values are below 0.1% (1.7 thousands persons). Starting with the 35-44 years age group, there is a reversal which then keeps all age groups. The gap between the maximum achieved in the female population: 3.6% (53.4 thousands persons) in case of 45-54 years group and male: 2.2% (31.1 thousands persons) in the same age group is pre tt y consistent. Also, for the 65-74 years age group the level for males:
1.2% (9.7 thousands persons) is less than half of that for women: 2.6% (28.4 thousands persons). Such situations are consistent with other research in the fi eld (Ogden et al.,
2006). These di ff erences are statistically signi fi cant after applying the Chi Square test
with a probability higher than 95%.

10In terms of area of residence (Figure 3) we found that there are three age groups:
(i) 18 to 25 years; (ii) 55-64 years, and (iii) more than 75 years where the prevalence is
lower than in urban areas (with low relative gap – less than 1 percentage point).
Figure 3: Prevalence of SO and SEO on age groups and residence area in Romania
The 25-34 age group records levels close to 0.5% (5.7 thousands persons in the
rural and 12.2 thousands persons in the urban area) in the prevalence in both areas of residence while in the other three age groups left, in urban areas the prevalence has always a higher prevalence (maximum 3.5% – representing 64.5 thousands persons – for those between 45 and 54 years) with gaps greater than 1 percentage point (19.0 thousands persons) compared to rural areas. This situation can be explained by the lower level of motorization and the availability of non-desk jobs, which leads to a non-sedentary life-style, in the rural areas.
Figure 4 presents the SO and SEO prevalence values depending on gender and
educational level (like Isaic-Maniu and Herteliu, 2005). The level of education corre-sponds to the ISCED 2011
2 classi fi cation. The ‘lower’ category includes the persons
who had graduated, at the most, from secondary schools (ISCED level 2011: 2). The ‘secondary’ category includes the persons who had graduated, at the most, from ISCED 2011: 4 (post-secondary non-tertiary education), while the ‘tertiary’ category includes ISCED 2011: 5-8 (from short-cycle tertiary education to doctoral).
2 ISCED is a codi fi cation system for educational levels created by UNESCO. The 2007 version is
available at h tt p://www.uis.unesco.org/Education/Documents/isced-2011-en.pdf.

11
Figure 4: Prevalence of SO and SEO by gender and education in Romania
It can easily be seen that the state of facts is di ff erent. In interpreting the data,
we could take into account the fact that as a person has a higher educational level,
the probability of her/ him having a job with physical demands, is lower. Thus, the prevalence levels for males tend to match this scenario with a 1% probability for those with lower education and up to a 2% in the case of those graduating higher educa-tion. In this context, the pa tt ern for females (with an incidence dropping from 2% for
those with lower education to 1.3% for those with tertiary education) is quite unnatu-ral. This still may be explained by fertility behavior (Herteliu et al., 2015) with a clear
tendency of postponing baby conception for female persons with higher education who are trying, in the same time to have a career. Also, nowadays, higher educated female persons are much more interested about the correct/ recommended lifestyle and subsequently they are acting accordingly.
If we bring up the residence area (Figure 5), we can observe that the prevalence
levels no longer seem to fi t a certain pa tt ern. The urban area registers the highest
value: 2.3% of the people with lower education (38.8 thousands persons) followed by a decrease down to 1.5% (96.6 thousands persons) for those with secondary lev-el education and an increase of up to 1.7% (28.2 thousands persons) for those with tertiary education. For the people living in rural areas, the values are lower with a maximum of 1.4% (53.0 thousands persons) registered in the case of the persons with lower education.

12
Figure 5: The SO and SEO prevalence by residence areas and educational levels in Romania
Table 1 presents the situation of SO and SEO prevalence by development regions.
The higher levels registered by the female population in the above sections are most
of the time present (except for the Bucharest-Ilfov, North-West and Center regions) at regional level also. Even when the situation is reverse, gender di ff erences are small
(under 0.2%). However, when the levels for the female population are higher, there are regions where these di ff erences are extremely conclusive (1.5% for the South re-
gion or even 1.8% in the West region).
Table 1: The SO and SEO prevalence by region, gender and residence area in Romania
Region Male Female Urban Rural
North-West 1.9 1.8 1.3 2.4
Centre 1.5 1.3 1.5 1.4North-East 1.1 1.7 2.2 0.7South-Est 1.2 1.4 1.2 1.5
South 0.5 2.0 1.5 1.1
Bucharest-Ilfov 2.5 2.2 2.2 2.9South-West 0.7 1.4 1.3 0.8West 0.7 2.5 2.4 0.3
Figure 6 presents the information about the number of episodes of hospitalization
due to obesity related disorders, at county level (localized adiposity, obesity due to
caloric excess, extreme obesity with alveolar hypoventilation, drug induced obesity, unspeci fi ed obesity, intake excess after-e ff ects, other obesities) per 100 thousand in-
habitants. The information is aggregated by hospital address. Like in other researches

13(Gavriluta, 2013 or Sinescu et al. , 2014), we can observe superior levels registered,
generally, in clinics belonging to traditional university centers (Bucharest, Cluj Na-
poca, Iasi, Timisoara or Targu Mures). Surprisingly, Maramures and Arges are found among the counties with the higher levels. The fact that obesity (most of the time induced by sedentariness) is more frequent in the areas with a higher economic de-velopment can also be seen on the map, the counties in Transylvania or Banat having higher levels versus others less economically developed.
Figure 6: The number of hospital admissions for obesity related disorders (per 100 thousand inhabitants, by county)
4. Public administration’s health costs for obesity
In order to estimate the additional fi nancial burden induced by SO and SEO we
will apply a macro process. Knowing the incidence of SO (1.1%) and SEO (0.4%) and
knowing the total government public expenditure and from the National Health In-surance House for health we consider estimation in two ways (consistent with the percentage limits extracted from the literature) of the fi nancial e ff orts induced by the
two categories of patients. The Unique National Fund for Health Insurance (FNUAS) has provided a budget of 22.56 billion lei in 2014 (CNAS, 2014). At the same time the Ministry of Health estimated budget for 2014 was 7.96 billion lei (Ministry of Health, 2014). This results in a total budget of 30.52 billion lei for health. The population of Romania (INS, 2014) was equal to 21.26 million people at the beginning of 2014. It fol-lows that the amount of allocated funds for health per capita in Romania was 1,436 lei

14in 2014. On the other hand, incidence rates of SO was 1.1% (191,900 people) and SEO
0.4% (68,900 people). If these people wouldn’t have been a ff ected by obesity, expen-
ditures on health should be less than 1.11 to 1.16 times for SO and 1.23 to 1.25 times for SEO. In this manner we are able to identify additional money spent as shown in the following table. We performed for the data from table the estimations in Euro in order to make the comparisons easier.
Table 2: Estimates of additional amounts spent on treating patients with SO and SEO
Indicator SO SEO
Persons 191,853 69,765
Health costs per capita (lei) 1,436 1,436
Health costs per capita (Euro) 319 319
Global costs for obese patients (lei) 275,500,908 100,182,540Global costs for obese patients (Euro) 61,222,424 22,262,787Minimum correction coef fi cient 1.11 1.23
Theoretical costs (unaffected by obesity) (lei) 248,199,016 81,449,220Theoretical costs (unaffected by obesity) (Euro) 55,155,337 18,099,827Minimal obesity costs (lei) 27,301,892 18,733,320Minimal obesity costs (Euro) 6,067,087 4,162,960
The maximum correction coef fi cient 1.16 1.25
Theoretical costs (unaffected by obesity) (lei) 237,500,783 80,146,032Theoretical costs (unaffected by obesity) (Euro) 52,777,952 17,810,229
Maximal obesity costs (lei) 38,000,125 20,036,508
Maximal obesity costs (Euro) 8,444,472 4,452,557
Source: Authors’ own calculation (the exchange rate used: 1 Euro = 4.5 lei)
This way it is very easy to see that under a minimal version SO and SEO costs are
46 million lei (a li tt le bit over 10 million Euro) annually, while the maximal version
reached 58 million lei annually (almost 13 million Euro). It should be noted, howev-
er, that these estimates are closely related to per capita health expenditure and are underestimated. This underestimation is induced by the fact that the SO and SEO patients have most of the time other comorbidities which results in an average costs for them higher than the national average.
Our methodology to estimate the fi nancial burden of SO and SEO is innovative (to
the best of our knowledge there are no other similar reports elsewhere). In the same time, the approach is quite robust being driven by logic and strong basic indicators from the health system. Of course, we have to acknowledge that there are some lim-itations of the approach: (i) the use of average health cost per capita (further studies should contextualize more the analysis based on co-morbidities speci fi cities); (ii) the
multipliers of additional costs are provided by international academic literature (fur-ther studies could estimate them for Romania).

155. Conclusions
Compared to other Western countries, Romania has a be tt er position when it
comes to the incidence of severe obesity (SO) and severe extreme obesity (SEO), with
a level of 1.5% (almost 260 thousand persons). Similarly to other countries, there are some gender di ff erences (with a higher prevalence among the female segment). From
the prevalence of the OB, SO and SEO Romania may be considered as a good practice example. It is uncertain which is the most important factor having such an in fl uence.
May be governmental approach (through Ministry of Education and Research) to maintain compulsory Physical Education classes at all levels of pre-university edu-cation and in fi rst year of the undergraduate cycle? Or do the mainly agricultural
occupations in the rural area lead to somewhat more reduced values relative to SO and SEO prevalence in this type of environment? The very recent report released Sus-tainable Development Goals (SDG) by European Commission (Eurostat, 2017) put the BMI as an indicator to measure the 2
nd goal: Zero hunger. Maybe this is the advantage
of Romania’s lack of development. Of course BMI is also mentioned within SDG as an indicator which is used to measure obesity.
As it happens in other countries, the persons most a ff ected are of mature age (the
35-64 years segment); consequently, the active population in its second half of the career is most a ff ected. Education has a di ff erent in fl uence on the prevalence of SE
and SEO, with a directly proportionate relationship with the male segment, and an inversely proportionate relationship with the female or rural population. There are also territorial di ff erences, the available statistical information con fi rming the fact
that economic prosperity leads to higher values of SO or SEO. As for the SO and SEO costs we can say that the forecasts made based on the above methodology are ranging from 46 to 58 million lei (10-13 million Euro) per year. Certainly, the methodology must be improved, and we must also take into account the fact that comorbidities can lead to signi fi cant increases of these amounts. This is a far-reaching project and can be
accomplished in the future.
Acknowledgments. This paper was co- fi nanced from the European Social Fund,
through the Sectoral Operational Programme Human Resources Development 2007-2013, project number POSDRU/159/1.5/S/138907 ‘Excellence in scienti fi c interdisci-
plinary research, doctoral and postdoctoral, in the economic, social and medical fi elds
–EXCELIS’, coordinator The Bucharest University of Economic Studies. We are grate-fully to the anonymous reviewer which provided us a consistent feedback. Her/ his valuable suggestions made our paper clearer and of be tt er quality.
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