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. 2016 Oct 21;2(4):466–470. doi: 10.1002/osp4.77

Prevalence of obesity in Malta

S Cuschieri 1,, J Vassallo 2, N Calleja 3,4, R Camilleri 5, A Borg 5, G Bonnici 5, Y Zhang 5, N Pace 1, J Mamo 3
PMCID: PMC5192534  PMID: 28090352

Summary

Background

Obesity is a global epidemic with the Mediterranean island of Malta being no exception. The World Health Organization (WHO) has identified Malta as one of the European countries with the highest obesity prevalence.

Method

A cross‐sectional study was conducted (2014–2016) under the auspices of the University of Malta. The prevalence of overweight‐obesity in Malta was calculated and then age stratified for comparisons with previous studies.

Results

The study identified 69.75% (95% CI: 68.32–71.18) of the Maltese population to be either overweight or obese. The men overweight/obese prevalence (76.28% 95% CI: 74.41–78.14) was statistically higher than that for women (63.06% 95% CI: 60.92–65.20) (p = 0.0001). Age stratification revealed that both genders had the highest overweight prevalence rates between 55 and 64 years (Men = 23.25% 95% CI: 20.43–26.33; Women = 24.68% 95% CI: 21.44–28.22). Men obesity prevalence rates were highest in the 35 to 44 years group (22.52% 95% CI: 19.65–25.68) while for women it was highest in the 55 to 64 years group (28.90%, 95% CI: 25.44–30.63).

Conclusion

Over a 35‐year period, an overall decrease in the normal and overweight BMI categories occurred with an increase in the prevalence of obesity. An exception was observed in the women, where the prevalence of normal BMI increased over this time period. Also, it appears that while the total population obesity prevalence increased (for 2016), a percentage of the women have shifted from an obese to an overweight status.

Keywords: Epidemics, Malta, obesity, overweight

Introduction

Obesity is a well‐established global epidemic with an estimated 50% of the European population being overweight 1. Multifactorial elements result in this epidemic with the environmental and behavioural interactions declared to contribute a major role in the development of obesity 2. The increase in obesity and overweight among adults is seen across most European Countries 1. Southern European countries tend to exhibit a higher overweight population than their northern counterparts 1. One such southern country is the island of Malta, located in the middle of the Mediterranean Sea. Malta has been declared to have one of the highest European obesity rates in Europe 3. Malta is an archipelago between Sicily and North Africa, with an area of 316 km2 and a GDP per capita of 22,779.91 USD 4. The Maltese Islands have a total population of 425,384 (median age 40.9 years), out of which 212,424 are men (median age 39.7 years) and 212,960 are women (median age 42.1 years). In fact, Malta is one of the highest densely populated countries in the world with about 1,265 inhabitants per square kilometre 5.

Over the years, Malta has experienced a change in culture, behavioural attitudes and lifestyle. In the 19th century, Malta was concurred by the British Empire resulting in the introduction of a Westernized diet. Over the years, a shift from a Mediterranean to a Westernized diet was evident.

Technology advances lead to a change in lifestyles, with the population becoming more sedentary. A cultural and social change gradually occurred because of a migration shift. Malta nowadays hosts a number of different sub populations as residents. These include European, African and Asian natives. All of these social, cultural and behavioural changes could have had a determinant impact on the obesity epidemic within the Maltese Islands 6.

Data for these obesity observations stem from population surveys. The last population representative surveys undertaken were in 1981 conducted by the World Health Organization (WHO) and in 1984 as part of the MONICA project, both of which used a measured height and weight to calculate the body mass index (BMI) 7, 8. Apart from a EU pilot Health Examination study conducted by the Department of Health Research and Information in 2010 (n = 200), there have not been any other recent national surveys 9. Representative population monitoring surveys should be conducted on regular basis to assess the weight gain epidemic 10. Conducting such surveys measures the effectiveness of health promotion policies as well as identifies and targets high‐risk population groups that would benefit from prevention strategies 10. In order to update the Maltese picture, a study entitled ‘SAHHTEK’ set up by the University of Malta undertook a nation‐wide cross‐sectional health examination survey over the past 2 years (2014–2016).

SAHHTEK—the Malta Health and Wellbeing survey

SAHHTEK was a cross‐sectional survey utilizing a randomized age (18–70 years) and gender representative data that was obtained from the national registry. The data was further stratified to represent an approximate 1% of the population from each Maltese town. The randomized population (n = 4,000) was invited to participate in a free health check‐up. A letter of invitation along with an explanatory pamphlet was sent via post. The check‐ups were held in each Maltese town health clinic. Among the different measurements taken during the survey, trained personnel measured height and weight using validated machines. These measurements were used to calculate the body mass index (BMI) by dividing the weight (in kilograms—kg) over the height squared (in metres—m2). The Research Ethics Committee of the Faculty of Medicine and Surgery at the University of Malta together with the Information and Data protection commissioner gave their permission for this study.

The SAHHTEK population was divided into three categories according to the established BMI, where <24.99 kg/m2 was labelled as normal BMI, 25–29.99 kg/m2 as overweight and >30 kg/m2 as obese 11. The BMI prevalence rate was calculated for each weight category, age and gender category (Table 1). Statistical analysis was conducted using IBM SPSS vs. 21 for Mac software. Chi‐square statistical test was used to compare the men and women subgroups by age and BMI status. Statistical significance was considered as p‐value <0.05. The sample population was weighted according to gender, age and locality in order for the data to be statistically representative of the whole Maltese population and to take into consideration the non‐respondents.

Table 1.

Age stratification of the adult population according to gender and BMI groups and showing the total prevalence and gender prevalence according the different BMI groups

Age Gender Normal Overweight Obese Total
<25 kg/m2 25–29.99 kg/m2 ≥30 kg/m2
18–24 Men 147 34 38 219
Women 148 41 38 227
25–34 Men 122 159 118 399
Women 189 106 81 376
35–44 Men 59 168 166 393
Women 164 98 72 334
45–54 Men 54 133 156 343
Women 111 137 140 388
55–64 Men 59 183 159 401
Women 56 153 176 385
65–70 Men 33 110 100 243
Women 52 85 102 239
Total 1194 1407 1346 1194
Prevalence (%) 30.25 35.65 34.10
Prevalence Men (%) 23.72 39.39 36.89
Women (%) 36.94 31.81 31.25

Results

Out of the total number of people invited (n = 4,000), 49% participated in this study. This positive population response rate to participate was considered adequate and valid (<p = 0.05). The majority of the population was found to be either overweight (35.65% 95% CI: 34.27–37.15) or obese (34.10% 95% CI: 32.64–35.60), with only 30.25% (95% CI: 28.84–31.70) having a normal body weight. Thus, Malta has 69.75% (95% CI: 68.32–71.18) of the total adult population (18–70 years old) suffering from an abnormally high body weight.

The men had higher overweight (39.39% 95% CI: 37.27–41.55) and obese (36.89% 95% CI: 34.80–39.03) prevalence rates when compared to women. These in turn had an overweight rate of 31.81% (95% CI: 29.78–33.91) and obese prevalence of 31.25% (95% CI: 29.23–33.34) (p = 0.0001). This gender difference is in keeping with a recent study marking southern European countries as having high overweight/obese rates among men 1.

Men with normal body weight (BMI) were within the 18–24 age group (67.12% 95% CI: 60.65–73.01). For the women, this was between the 25 and 34 age group (50.27% 95% CI: 45.24–55.29) (p = 0.0001). The highest age group exhibiting overweight rates was within the 55–64 age group for both genders (Men 45.64% 95% CI: 40.83–50.53; Women 39.74% 95% CI: 34.98–44.71) (p = 0.006).

Regarding obesity, the highest prevalence rate for men was in the 35–44 age group (42.24% 95% CI: 37.45–47.18), whereas for women it was in the 55–64 age group (45.71% 95% CI: 40.80–50.71) (p = 0.0001).

Time trends of overweight and obesity prevalence in Malta

With the passage of time, three epidemiological studies have been performed (WHO 1981, MONICA 1984, EHES 2010), all of which measured BMI by means of height and weight examinations. These studies along with SAHHTEK study followed the same BMI definition and were age stratified between 25 and 64 years (but were not age standardized) for ease of comparison. Figure 1 shows the BMI distribution over time for the total population in each study.

Figure 1.

Figure 1

BMI distribution for the Malta population aged 25–64 years 1981–2015. * Pilot study performed in 2010 (n = 200).

On direct age standardization using the 1981 study rates and comparing with the current study (Table 2), there was an increase in the obese population (1.21). On the other hand, overweight and normal weight categories decreased (0.96; 0.9, respectively). On gender stratification, the men with obesity ratio showed an increase (1.88) while the women with obesity ratio declined (0.88) over 35 years. The overweight men and women exhibited a decline in expected rates (0.91, 0.97, respectively). The normal weight women showed an increase in expected rate (1.18), while the normal weight men showed a decrease in the expected rate (0.41).

Table 2.

Direct age standardization between the two national representative epidemiological studies by BMI

Total population—Normal BMI Men—Normal BMI Women—Normal BMI
1981 2014–2016 1981 2014–2016 1981 2014–2016
% Expected Actual % Expected Actual % Expected Actual
Sum total 29.9 905 814 37.96 588 520 24.13 356 520
Total population—Overweight BMI Men—Overweight BMI Women—Overweight BMI
1981 2014–2016 1981 2014–2016 1981 2014–2016
% Expected Actual % Expected Actual % Expected Actual
Sum total 39.15 1181 1137 45.94 705 643 34.24 508 494
Total population—Obese BMI Men—Obese BMI Women—Obese BMI
1981 2014–2016 1981 2014–2016 1981 2014–2016
% Expected Actual % Expected Actual % Expected Actual
Sum total 29.23 882 1068 20.95 318 599 35.51 532 469

Discussion

The Maltese population is predominately overweight or obese. Over 35 years, there has been a general increase in the obesity rate and a decline in the overweight and normal weight rates. This increase in body weight has been a gradual but progressive problem over the years across the world. It was observed in a recent U.S. study where the overall obesity rates increased from the 1980s to the present day 12. The same phenomenon is observed in Europe where more than half of the adult population (52%) within the European Union are either overweight or obese 13.

Interestingly, different countries exhibit divergent gender predominance. Between 2013 and 2014 the U.S. has had a significant linear increase in women's obesity rates as compared to men 12. This is in keeping with the European countries of Latvia, Turkey and Hungry 13. But the contrary has been found in Malta, where the men exhibited a higher obesity proportion than the women. The same trend was observed in the European countries of Iceland and Norway 13.

The overweight‐obese epidemic is also present in children. In the most recent Health Behaviour in School‐Aged Children (HBSC) survey (2013–2014), Malta ranked as the country with the highest prevalence of obese children aged between 11 and 15 14.

Obesity can contribute to the development of other chronic diseases such as diabetes mellitus type 2 and cardiovascular disease 15. This leads to higher overall health care costs 13. Expenditures caused by obesity are the result of direct and indirect costs. This impacts both the individual person as well as the whole country. The WHO stated that the obesity expenditure contributed to 2–8% of the total national expenditure in the 53 European countries 16. In Malta, the estimated (underestimated) annual obesity health costs by 2020 amounted to €27 million 17.

Although public health policies and strategies for prevention and management of obesity are in place, still more work need to be done 1. Maltese diet relies to a big extent on imported foods. Therefore, taxation and importation regulations may need to be revised to meet the growing needs of Malta's population 1. An inter‐sectoral approach to prevent the obesity epidemic needs to be undertaken. This includes the conduction of regular prevalence studies such as SAHHTEK. These enable the targeting of high‐risk groups, while making it easier to address inequalities that warrant immediate action in any European country. This obesity epidemic is highlighted for priority action in the 2017 EU Presidency hosted by Malta (aimed to target childhood obesity) 18.

Conflict of interests

None

Acknowledgements

The authors are extremely grateful for the strong support forthcoming from the University of Malta (through the Medical School and RIDT department) and from the Alfred Mizzi Foundation as major sponsors, as well as that of a host of others, including Atlas Health Insurance (Malta). The in‐kind support and encouragement of the Parliamentary Secretariat for Health of the Government of Malta is also gratefully acknowledged.

Cuschieri, S. , Vassallo, J. , Calleja, N. , Camilleri, R. , Borg, A. , Bonnici, G. , Zhang, Y. , Pace, N. , and Mamo, J. (2016) Prevalence of obesity in Malta. Obesity Science & Practice, 2: 466–470. doi: 10.1002/osp4.77.

Reference

  • 1. Brandt L, Erixon F. The prevalence and growth of obesity and obesity related illness in Europe. Eur Center Int Polit Econ (ECIPE) 2013. [Google Scholar]
  • 2. Lifshitz F, Lifshitz JZ. Globesity: the root causes of the obesity epidemic in the USA and now worldwide. Pediatr Endocrinol Rev 2014; 12: 17–34. [PubMed] [Google Scholar]
  • 3. World Health Organization . Global Status Report on Non‐communicable diseases 2014—Chapter 7. Geneva, 2014.
  • 4. The World Bank . GDP per capita (current US$). Available: http://data.worldbank.org/indicator/NY.GDP.PCAP.CD [Accessed 24th July 2016]
  • 5. Demographic Review 2013 . National Statistics Office Valletta 2015.
  • 6. Cuschieri S, Mamo J. Malta: Mediterranean Diabetes hub—a journey through the years. MMJ 2014; 26: 27–31. [Google Scholar]
  • 7. Katona G, Aganovic I, Vuskan V et al. National diabetes programme in Malta: Phase I and II Final Report. WHO 1983.
  • 8. Cacciottolo JM. Control of Cardiovascular Disease in the Maltese Community. PhD Thesis, University of Kuopio, Finland, 1990.
  • 9. EHES: European Health Examination Survey 2010—Pilot Study . Department of Health Information and Research. Ministry of Health, the Elderly and Community Care 2010.
  • 10. Doak CM, Wijnhoven TM, Schokker DF, Visscher TLS, Seidell JC. Age standardization in mapping adult overweight and obesity trends in the WHO European Region. Obes Rev 2011; 13: 174–191. [DOI] [PubMed] [Google Scholar]
  • 11. World Health Organization . Obesity: preventing and managing the global epidemic. Report of a WHO consultation. Geneva, 2000. [PubMed]
  • 12. Flegal KM, Kruszon‐Moran D, Carroll MD, Fryar CD, Ogden CL. Trends in obesity among adults in the United States, 2005 to 2014. JAMA 2016; 315: 2284–2291. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 13. OECD . “Overweight and obesity among adults”, in Health at a Glace: Europe 2012, OECD Publishing Available: 10.1787/9789264183896-26-en [Accessed 23rd July 2016]
  • 14. World Health Organization . Growing up unequal: gender and socioeconomic difference in young people's health and well‐being . Health Behaviour in school‐aged children (HBSC) study: International report from the 2013/2014 survey. 2016. P. 94–95.
  • 15. Webber L, Divajeva D, Marsh T, et al. The future burden of obesity‐related diseases in the 53 WHO European‐Region countries and the impact of effective interventions: a modelling study. BMJ Open 2014; 4: e004787. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 16. Hunt, A. and Ferguson, J . Health costs in the European Union. How much is related to EDCS? The Health and Environmental Alliance (HEAL). 2014. Brussels, Belgium.
  • 17. Superintendence of Public Health . A health weight for life: a national strategy for Malta. Ministry for Health, the Elderly and Community Care, 2012. Malta.
  • 18. Child obesity one of priorities for Malta during EU presidency . Independent News . 23rd June 2016, Available: http://www.independent.com.mt/articles/2016‐06‐23/local‐news/Child‐obesity‐one‐of‐priorities‐for‐Malta‐during‐EU‐presidency‐6736159869 [Accessed: 24th July 2016]

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