Population-wide weight loss and regain in relation to diabetes burden and cardiovascular mortality in Cuba 1980-2010: repeated cross sectional surveys and ecological comparison of secular trends

Manuel Franco, Usama Bilal, Pedro Orduñez, Mikhail Benet, Alain Morejón, Benjamín Caballero, Joan F Kennelly, Richard S Cooper

BMJ 2013;346:f1515 (Published 09 April 2013)

http://www.bmj.com/content/346/bmj.f1515

===============

경제봉쇄로 쿠바인 더 건강해져?

주영재 기자 jyj@kyunghyang.com

경향신문 입력 : 2013-04-10 13:53:29ㅣ수정 : 2013-04-10 13:53:29
http://news.khan.co.kr/kh_news/khan_art_view.html?artid=201304101353291&code=970100

쿠바인들이 1990년대 초반 미국의 경제봉쇄와 러시아 지원의 중단으로 석유와 식량 부족에 시달리며 힘든 시기를 겪으며 오히려 심장 질환과 당뇨의 발병률이 낮아졌다는 연구 결과가 나왔다.

쿠바인들은 1991~1995년까지 고난의 시기 동안 당나귀에 의존해 짐을 날랐고, 정부는 석유를 소비하는 차량 대신 중국에서 150만대의 자전거를 수입해야 했다.

가디언에 따르면 미국, 스페인, 쿠바의 대학 연구자들은 이 기간 식사량이 줄고, 자전거를 타거나 걷는 시간이 늘고, 육체 노동이 증가한 것이 건강에 어떤 영향을 미쳤는지를 확인하려고 했다.

쿠바는 무상 의료가 상당한 수준으로 진척된 국가로 “맨발의 의사”들이 광범위한 기초 진료를 행하고 있으며 국민 건강 상태에 대한 자료도 잘 구축되어 있다.

연구자들은 1980~2010년까지 쿠바인들의 몸무게와 심장질환, 뇌졸중, 당뇨로 인한 사망률의 변화를 관찰한 결과를 영국 메디컬저널에 발표했다.

스페인 마드리드의 알카라 대학의 마누엘 프랑코 교수가 이끈 연구진은 쿠바인의 몸무게가 경제봉쇄로 위기에 몰린 1991~1995년 동안 평균 5.5㎏ 감소했음을 알게됐다. 이는 건강에 직접적인 영향을 줘 당뇨로 인한 사망자를 절반까지 줄였으며 심근경색으로 인한 사망률은 3분의 1로 줄었다.

연구진은 “이런 추세는 소비에트 붕괴와 미국의 경제봉쇄로 쿠바 경제가 식량과 대중교통을 확보할 수 있는 능력이 줄어든 것과 관련이 있었다”며 “심각한 식량 및 에너지 부족은 열량 섭취를 줄이면서 동시에 (대중교통 대신 걷거나 자전거를 타면서) 열량 소비를 증가시켰다”고 말했다.

쿠바 경제 위기가 1996년 이후 끝나고 회복기에 들어서자 몸무게는 다시 증가하기 시작했고 신체활동 수준도 미미하지만 감소했다. 쿠바는 2000년부터 안정적인 성장을 지속했으며 2002년에 이르러서는 음식과 음료 소비량이 증가해 위기 이전 수준을 넘었다. 그 결과 2011년 쿠바 인구의 비만률은 1995년에 비해 거의 세배로 증가했다. 당뇨도 1995년부터 증가해 2002년부터 2010년까지 당뇨사망률은 위기 이전 수준의 증가세로 돌아갔다.

월터 윌렛 하버드 공공의료대학의 영양학과장은 이 연구가 “비만과 과체중 감소가 주는 커다란 이점을 보여주는 강력한 증거”라고 평가했다.

논문 저자들은 이같은 결과가 체중 감소가 실질적인 이득을 가져올 수 있다는 것을 보여준다고 주장하고 있다. 프랑코 교수는 “교통 정책이 근본적인 것으로 교통 수단으로 걷기와 자전거 타기를 장려할 필요성이 있다”고 밝혔다.

또한 육체 활동을 증진시키고 건강에 좋지 않은 음료와 음식을 어린이에게 공격적으로 홍보하는 것을 규제하거나 불량 식품에 더 많은 세금을 부과하는 것도 하나의 전략이라고 과학자들은 조언했다.

그럼에도 그는 쿠바의 경제 위기가 현재 경제위기를 겪는 유럽에 건강과 관련한 어떤 유사한 이득을 주지는 않을 것이라고 내다봤다. 인종과 사회적 환경이 유사한 쿠바와 달리 유럽은 훨씬 이질적이기 때문이다.

연구자들은 또한 과학 논문에 어울리지 않게 위기를 초래한 정치에 비난을, 쿠바인들의 대응 방식에 찬사를 보냈다.

이들은 논문에서 “우리는 고난의 기간 동안 극도로 어려운 사회 경제적 도전에 직면한 쿠바 국민들이 용기와 위엄을 잃지 않고 대응한 것에 존경과 찬사를 보낸다”며 “이 비극은 국제 정치에 의한 ‘인재’이며 다시는 어느 나라에서도 되풀이 되어선 안된다”고 썼다.

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Research

Population-wide weight loss and regain in relation to diabetes burden and cardiovascular mortality in Cuba 1980-2010: repeated cross sectional surveys and ecological comparison of secular trends

BMJ 2013; 346 doi: http://dx.doi.org/10.1136/bmj.f1515 (Published 9 April 2013)

Cite this as: BMJ 2013;346:f1515
http://www.bmj.com/content/346/bmj.f1515

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1. Manuel Franco, associate professor1, adjunct associate professor2, visiting researcher3,
   
2. Usama Bilal, research assistant1, visiting researcher3,
   
3. Pedro Orduñez, regional adviser4, professor5,
   
4. Mikhail Benet, professor5,
   
5. Alain Morejón, assistant professor5,
   
6. Benjamín Caballero, professor6,
   
7. Joan F Kennelly, research assistant professor7,
   
8. Richard S Cooper, professor and chair8

Author Affiliations

1. 
   
   ¹Social and Cardiovascular Epidemiology Research Group, School of Medicine, University of Alcalá, Alcalá de Henares, Madrid, Spain
   
   
2. 
   
   ²Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
   
   
3. 
   
   ³Department of Epidemiology, Atherothrombosis and Cardiovascular Imaging, Centro Nacional de Investigaciones Cardiovasculares Madrid, Spain
   
   
4. 
   
   ⁴Project for Chronic Disease Prevention and Control, Pan American Health Organization, Washington, DC, USA
   
   
5. 
   
   ⁵Centro de Estudios sobre Enfermedades Crónicas, Universidad de Ciencias Médicas, Cienfuegos, Cuba
   
   
6. 
   
   ⁶Center for Human Nutrition, Department of International Health, Johns Hopkins Bloomberg School of Public Health, USA
   
   
7. 
   
   ⁷Division of Community Health Sciences, University of Illinois at Chicago School of Public Health, Chicago, IL, USA
   
   
8. 
   
   ⁸Department of Public Health Sciences, Loyola University Stritch School of Medicine, Maywood, IL, USA

1. Correspondence to: M Franco mfranco@uah.es

• Accepted 11 February 2013

Abstract

Objective To evaluate the associations between population-wide loss and gain in weight with diabetes prevalence, incidence, and mortality, as well as cardiovascular and cancer mortality trends, in Cuba over a 30 year interval.

Design Repeated cross sectional surveys and ecological comparison of secular trends.

Setting Cuba and the province of Cienfuegos, from 1980 to 2010.

Participants Measurements in Cienfuegos included a representative sample of 1657, 1351, 1667, and 1492 adults in 1991, 1995, 2001, and 2010, respectively. National surveys included a representative sample of 14 304, 22 851, and 8031 participants in 1995, 2001, and 2010, respectively.

Main outcome measures Changes in smoking, daily energy intake, physical activity, and body weight were tracked from 1980 to 2010 using national and regional surveys. Data for diabetes prevalence and incidence were obtained from national population based registries. Mortality trends were modelled using national vital statistics.

Results Rapid declines in diabetes and heart disease accompanied an average population-wide loss of 5.5 kg in weight, driven by an economic crisis in the mid-1990s. A rebound in population weight followed in 1995 (33.5% prevalence of overweight and obesity) and exceeded pre-crisis levels by 2010 (52.9% prevalence). The population-wide increase in weight was immediately followed by a 116% increase in diabetes prevalence and 140% increase in diabetes incidence. Six years into the weight rebound phase, diabetes mortality increased by 49% (from 9.3 deaths per 10 000 people in 2002 to 13.9 deaths per 10 000 people in 2010). A deceleration in the rate of decline in mortality from coronary heart disease was also observed.

Conclusions In relation to the Cuban experience in 1980-2010, there is an association at the population level between weight reduction and death from diabetes and cardiovascular disease; the opposite effect on the diabetes and cardiovascular burden was seen on population-wide weight gain.

Introduction

It was recognised early in the course of the global epidemic of type 2 diabetes that variation in the prevalence of the disease among populations could be explained largely by relative weight.1 This observation is supported by survey research from virtually every country in the World Health Organization database.2 Despite predictions on the effect of the obesity and diabetes epidemics on life expectancy,3 it is unclear to what extent they can alter the downward trend of cardiovascular diseases prevalence observed in many countries.4 Furthermore, lack of adequate data for public health precludes the empirical assessment of comparable trends across the developing world. Most cohort studies have suggested a “U” shaped association between body mass index and mortality, with the lowest point in the index range of 24 to 29.5 6 Therefore, key unknown factors are the net health impact of a given downward shift in the distribution of body mass index in a population, and the time lag between changes in body mass index and in the prevalence of non-communicable disease.7

Video abstract

Marked and rapid reductions in mortality from diabetes and coronary heart disease were observed in Cuba after the profound economic crisis of the early 1990s.8 These trends were associated with the declining capacity of the Cuban economy to assure food and mass transportation in the aftermath of the dissolution of the former Soviet Union and the tightening of the US embargo. Severe shortages of food and gas resulted in a widespread decline in dietary energy intake and increase in energy expenditure (mainly through walking and cycling as alternatives to mechanised transportation).

The largest effect of this economic crisis occurred over a period of about five years (1991-95, the so called “special period”), resulting in an average weight loss of 4-5 kg across the adult population.8 This economic crisis was not a full disruption of previous routines of daily life, but was actually characterised by its slow process of economic decline. During these years, the whole population continued to meet responsibilities in relation to work, school, and other social aspects, and the Ministry of Public Health maintained its regular surveillance system activities.9 10

Since then, the Cuban economy has shown a modest but constant recovery, especially after the year 2000.11 12 In fact, surveys have shown that the prevalence of obesity has now exceeded pre-crisis levels.13 The table⇓ shows basic sociodemographic and economic information on Cuba before, during, and after the economic crisis.

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Basic sociodemographic and economic information on Cuba at various stages of economic crisis¹²

To advance the prevention of non-communicable diseases, population-wide data remain crucial. Comparing disease rates over time, in relation to changes in risk factor levels in the population, indicates the extent to which disease can be prevented and what the most important risk factors are at the population level.14 The population preventive approach articulated by Geoffrey Rose in his seminal paper,15 is of importance when preventing and controlling non-communicable diseases, particularly cardiovascular diseases. The current study exemplifies a unique situation where population-wide body weight changed considerably, as a result of the combined and sustained effect of reduced energy intake and elevated physical activity. This scenario allowed us to assess its effect on diabetes and cardiovascular disease.16

Our objective was to examine the effect of population-wide changes in body weight—over a full cycle of weight loss and regain—on diabetes incidence, prevalence, and mortality in Cuba, from 1980 to 2010. We also assessed the effects of this weight change cycle on rates of death from cardiovascular disease, cancer, all causes.

Methods

To study the population-wide changes in body weight over time, we used four cross sectional surveys in the city of Cienfuegos, on the southern coast of Cuba. These surveys are part of the Project of Cienfuegos, an initiative designed to study the risk factors for non-communicable diseases in Cuba.

To obtain all available data from government and published sources on mortality, physical activity, energy intake, and smoking in Cuba between 1980 and 2011, we did a systematic search. We used the following databases: Medline, Spanish Bibliographic Index in Health Sciences (IBECS), and the Scientific Library Online (BVS-SciELO Cuba), which includes most Cuban journals. Web appendix 1 details the 12 references included.

Height, weight or overweight, and obesity

The four cross sectional surveys measured height and weight, on the basis of stratified probability samples from the urban population aged 15-74 years. The surveys included 1657, 1351, 1667, and 1492 adults for the years 1991, 1995, 2001, and 2011, respectively. The age distribution of the population in Cienfuegos is similar to the general Cuban population (web appendix 2). We used the following categories for body mass index: underweight (<18.5), normal weight (18.5-<25), overweight (25-<30), and obesity (≥30). All participants in the four surveys signed the informed consent. The ethics committee of the University of Medical Sciences, Cienfuegos, approved protocols.

Physical activity

Measures of self reported physical activity were available from representative samples of the population in Havana in 1987, 1988, and 1994 and from the national surveys on risk factors and chronic diseases (conducted nationally in 1995, 2001, and 2010, respectively). In these surveys, participants were designated as physically active if they engaged in regular physical activity, defined as 30 minutes of moderate or intense activity on at least five days per week.

Energy intake

The Food and Agriculture Organization of the United Nations provides disappearance data on energy intake per capita, by dividing total calories available for human consumption by the total population consuming the food supply during the reference period.

Smoking

National use of cigarettes per capita was calculated as the total number of cigarettes sold per year divided by the population aged 15 years and over. The prevalence of smoking was obtained from the national surveys on risk factors and chronic diseases conducted in 1995, 2001, and 2010, and other national studies previously conducted. We defined smoking as self reported current use of cigarettes or cigars (or both).17

Diabetes prevalence and incidence

In the Cuban national health system, the primary care doctor-nurse team is responsible for collecting health data for all residents in the neighbourhood of their catchment area (about 1500 individuals per team). One of the team activities organised by the health system is continuous assessment and risk evaluation (CARE, or Dispensarización in Spanish).18 19 All households are visited at least once a year for a comprehensive health evaluation of the family, while patients with chronic diseases receive a visit at least once every three to six months. These health examinations covered 61.2% (n=595 1088) of the population in 1979,20 75.9% (n=7 918 647) in 1989,20 and 98.2% (n=11 038 820) in 2009.21 We obtained data for diabetes prevalence and incidence from the CARE registries, spanning the time period of 1980-2009.20 21 These registries allow the monitoring of chronic disease trends, such as diabetes incidence or prevalence.

Mortality

We obtained annual, age adjusted rates of mortality per 100 000 people from the Cuban Ministry of Public Health. ICD-10 (international classification of diseases, 10th revision) codes were used for death from type 2 diabetes (E10-E14), coronary heart disease (I20-I25), stroke (I60-I69), cancer (C00-C97), and all causes for the period of 1980-2010. We used data from 1980 to examine possible trends unrelated to the economic crisis during the special period in 1991-95. The 1981 Cuban population census was used for age adjustment. Vital records in Cuba are essentially complete. Postmortem examinations in some hospitals include up to 85% of people coded as dying from cardiovascular disease, which provided considerable confidence in an accurate designation of the cause of death.22

Statistical analysis

To illustrate the distributions of body mass index in the four surveys from Cienfuegos (in 1991, 1995, 2001, and 2011), we used Stata SE version 12.1 to generate density plots through the Gaussian kernel function. To analyse changes in prevalence and mortality, joinpoint regression analysis was conducted using software developed by the Surveillance Research Program of the United States National Cancer Institute.23 This regression model allows identification of significant changes in linear trend slopes. The estimated annual change (%) was then computed for each mortality trend by fitting a regression line to the natural logarithm of the rates within each period or phase.

We did not use this procedure to analyse diabetes incidence, owing to missing data from the years during the crisis. Because incidence estimates are inherently unstable, we enhanced visual presentation by constructing moving averages for each year with available data, using the incidence data from the previous, current, and following year.

Results

Risk factor trends

From its lowest point in the mid-1990s, average daily intake of energy per capita increased monotonically, reaching pre-crisis levels in 2002 and levelling off in 2005 (fig 1⇓). On the other hand, physical activity had a slight downward trend after the mid-1990s, remaining stable from 2001, with more than half of the population being physically active. Although 80% of the population was classified as active in surveys conducted during the special period in 1991-95, this proportion fell steadily in the last decade, and is currently at 55% (fig 1). These population-wide changes in energy intake and physical activity were accompanied by large changes in body weight over this entire interval (figs 2⇓ and 3⇓).

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Fig 1 Physical activity, dietary energy intake, and smoking in Cuba, 1980-2010. Red shaded area=period of economic crisis; blue shaded area=period of economic recovery. Physical activity data recorded in 1987, 1988, and 1994 obtained from Havana surveys; data recorded in 1995, 2001, and 2010 come from national surveys. *1 kcal=0.00418 MJ

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Fig 2 Distributions of body mass index as recorded by national surveys conducted in Cienfuegos in 1991, 1995, 2001, and 2010

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Fig 3 Prevalence of obesity and diabetes, incidence, and mortality in Cuba, 1980-2010. Red shaded area=period of economic crisis; blue shaded area=period of economic recovery. Diabetes prevalence increased by 2.93% per year from 1980 to 1997, and 6.27% per year from 1997 to 2010. Diabetes mortality increased by 5.85% per year from 1980 to 1989, but fell by 0.68% per year from 1989 to 1996 and 13.95% per year from 1996 to 2002, before increasing by 3.31% per year from 2002 to 2010

Smoking prevalence (fig 1) slowly decreased during the 1980s and 1990s (42% in 1984, 37% in 1995), before declining more rapidly in the 2000s (32% in 2001, 24% in 2010). The number of cigarettes consumed per capita decreased during and shortly after the crisis. In 1990, 1934 cigarettes per capita were consumed (fig 1). This number changed to 1572, 1196, and 1449 cigarettes per capita in 1993, 1997, and 1999, respectively. Cigarette consumption has since remained stable.

Figure 2 depicts the distribution of body mass index from the Cienfuegos surveys of 1991, 1995, 2001, and 2010 with kernel density plots of each year’s measurements. During the special period of 1991-95, there was a weight loss of 5.5 kg across the entire range of body mass index (that is, not only among obese people), with a mean reduction in body mass index of 1.5 units. After a period of economic recovery and stability, an increase in body mass index of 2.6 units was observed from 1995 to 2010; weight regain also occurred across the entire population, irrespective of body mass index. These distribution shifts in body mass index were consistent across surveys. The proportion of the population in the normal weight category decreased from 56.4% at the end of the special period in 1995 to 42.1% in 2010. At the same time, proportions in the overweight and obesity categories increased by 19.4%, from 33.5% in 1995 to 52.9% in 2010 (web appendix 3).

Diabetes trends

Diabetes prevalence and incidence

Joinpoint regression analyses showed two different phases of diabetes prevalence (fig 3). The first phase had a slow and stable increase from 1980 (1.5 per 100 people) to 1997 (1.9 per 100 people), a total increase of 26.6% (2.9% per year). In the second phase, diabetes prevalence increased from 1.9 per 100 people in 1997 to 4.1 per 100 people in 2009 and 2010, a total increase of 115.8% (6.3% per year).

Incidence of diabetes fluctuated widely (fig 3). For the decade before the crisis, incidence was stable, between 1980 (1.5 per 1000 people) and 1989 (1.8 per 1000 people). The only data point in the middle of the economic crisis showed a decrease in diabetes incidence, falling to 1.2 per 1000 people in 1992. For the years immediately after the crisis, incidence was lower than pre-crisis levels (1 per 1000 people in 1996 and 1997 v 1.4 per 1000 people in 1999). Sharp increases were observed from 2000 onwards, peaking in 2002 (2.2 per 1000 people) and 2009 (2.4 per 1000 people). Thus, overall diabetes incidence decreased by 53% from its peak in the pre-crisis years (1986) to its lowest point after the crisis (1996 and 1997). Subsequently, incidence rose by 140% from 1996 to 2009.

Diabetes mortality

Joinpoint regression analysis of diabetes mortality showed four different phases (fig 3). The first phase, from 1980 to 1989 (pre-crisis years), was characterised by an increase of 60% (5.9% per year). The second phase from 1990 to 1996 overlapped with the special period in 1991-95, during which diabetes mortality stabilised (0.7% decrease per year). However, from 1996 to 2002, we recorded a decrease in diabetes mortality of 50% (13.95% per year). Finally, from 2002 onwards, mortality rose by 49% (3.31% per year; from 9.3 deaths per 10 000 people in 2002 to 13.9 deaths per 10 000 people in 2010), returning to pre-crisis rates.

Mortality trends

Coronary disease mortality

Mortality from coronary heart disease evolved in three phases (fig 4⇓). From 1980 to 1996, mortality fell consistently (reduction of 8.8%, 0.5% per year). After the crisis in 1996-2002, mortality decreased sharply by 34.4% (6.5% per year). After 2002, the rate of decline slowed to 7.4% (1.4% per year), similar to pre-crisis rates.

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Fig 4 Obesity prevalence and coronary heart disease, cancer and stroke mortality in Cuba (1980-2010). Red shaded area=period of economic crisis; blue shaded area=period of economic recovery; CHD=coronary heart disease. CHD mortality decreased by 0.50% per year from 1980 to 1996, 6.48% per year from 1996 to 2002, and 1.42% per year from 2002 to 2010. Cancer mortality decreased by 0.12% per year from 1980 to 1996, but increased by 0.47% per year from 1996 to 2010. Stroke mortality fell by 0.39% per year from 1980 to 2000, 5.03% per year from 2000 to 2004, and 0.01% per year from 2004 to 2010

Stroke mortality

Mortality from stroke mirrored the pattern of mortality from coronary heart disease, with a modest decrease of 6.9% lasting from 1980 to 2000 (0.4% per year) and a sharp fall between 2000 and 2004 of 13.6% (5.3% per year). From 2004 to 2010, mortality fell by 1.3% (0.01% per year, similar to pre-crisis rates).

Cancer mortality

Cancer mortality followed a distinctly different pattern to that observed in coronary heart disease, stroke, and diabetes, with two distinct phases (fig 4). From 1980 to 1996, a slight decrease of 2.4% in cancer mortality was observed (0.1% per year), which reverted to a slight increase of 5.4% in 1996-2010 (0.5% per year).

All cause mortality

Mortality from all causes, as expected, was highly influenced by trends in coronary heart disease and stroke, showing three different phases (data not shown). A prolonged decrease in mortality of 1.7% from 1980 to 1996 (0.1% per year) was followed a sharp decline of 10.5% from 1996 to 2002 (2.9% per year). From 2002 to 2010, there has been a modest decrease of 2% (0.7% per year).

Discussion

During the deepest period of the economic crisis in Cuba, lasting from 1991 to 1995, food was scarce and access to gas was greatly reduced, virtually eliminating motorised transport and causing the industrial and agricultural sectors to shift to manual intensive labour. This combination of food shortages and unavoidable increases in physical activity put the entire population in a negative energy balance, resulting in a population-wide weight loss of 4-5 kg.8 The decline in food availability was associated with a neuropathy outbreak in the adult population in 1993.24 25 The Cuban economy started recovering in 1996 with a sustained growth phase from 2000 onwards. Since 1996, physical activity has slightly declined. By 2002, energy intake had increased above pre-crisis levels.

As a result of the above trends, by 2011, the Cuban population has regained enough weight to almost triple the obesity rates of 1995. This U shaped, population-wide pattern in body weight is historically unique because of several factors: the initial weight loss occurred in a population that had been well nourished previously, lasted for five years, and affected people at all initial levels of body mass index.

Diabetes trends could have been substantially influenced by these population-wide changes in body weight. Diabetes prevalence surged from 1997 onwards, as weight started to rebound. Diabetes incidence decreased during the crisis, reaching its lowest point in 1996. The largest economic recovery saw diabetes incidence peaking in 2004 and 2009.

Five years after the start of the economic crisis in 1996, an abrupt downward trend was observed in mortality from diabetes, coronary heart disease, stroke, and all causes. This period lasted an additional six years, during which energy intake status gradually recovered and physical activity levels were progressively reduced; in 2002, mortality rates returned to the pre-crisis pattern. A particularly dramatic shift in diabetes mortality was observed: from 2002 to 2010, the annual increase in diabetes mortality was similar to that before the crisis. Moreover, declining rates of coronary heart disease and stroke slowed to annual decreasing rates similar to those before the crisis.

Comparison with other studies

The effect of high risk, preventive approaches on diabetes or cardiovascular mortality has been extensively studied and has reported conflicting and non-conclusive results. For example, the Look AHEAD clinical trial,26 aimed at reducing cardiovascular risk associated with diabetes through weight reduction and exercise, has been prematurely terminated for lack of an effect on cardiovascular mortality. Other high risk approaches, such as the prevention and control of diabetes through massive screenings, has recently shown no improvements in diabetes, cardiovascular, or all cause mortality.27 Overall, it seems that high risk preventive approaches have either not produced a beneficial effect on cardiovascular mortality or diabetes control and mortality, or have been unsuccessful in reducing risk to a sufficient degree to warrant a conclusion.

The complementary pathway to disease prevention, the population approach, has received scant attention in the literature. To our knowledge, the effect of population-wide weight regain on diabetes and cardiovascular mortality has not been previously studied. Research on population-wide interventions has so far only studied modelling studies28 or small scale interventions.14

Research on weight cycling, described in obese individuals undergoing repeated attempts at weight loss followed by weight regain, has reported conflicting results: either an increase29 30 31 32 or no association with general mortality.33 Specifically, no association between weight cycling and diabetes incidence has been recorded.34 35 Since individual weight cycling usually refers to multiple weight changes over an extended period, those results might have limited relevance for the population experience of a single cycle of weight gain, loss, and regain that we report here.

As shown in our results, smoking levels were affected by the crisis. The number of cigarettes smoked per capita in Cuba decreased in the crisis years, only to slightly recover afterwards and remain stable thereafter. Smoking prevalence has continuously decreased during the past 15 years in Cuba. The role of tobacco in the development and control of diabetes has been recently studied; both active and passive smoking are associated with increased incidence.36 This association is dose dependent37; therefore, the decrease in smoking in Cuba during the crisis may have contributed to the decline in diabetes incidence in those years. The effects of decreasing smoking rates should drive down the rates of diabetes incidence and mortality in the long term. In this case, the observed decline in smoking rates during and after the crisis should cause a decrease in diabetes mortality in the last decade of our study. The increase in diabetes mortality from year 2002 seems to rule out smoking as a major confounding factor in the observed trends, although it could be masking the true size of the effect of changes in dietary and physical activity on diabetes mortality. This consideration is analogous for coronary heart disease and stroke, which should fall as smoking prevalence declines.

Strengths and limitations of study

Our study presents the first observation of a population-wide event of this magnitude and its subsequent effects on public health. Population-wide shifts in other risk factors, such as cholesterol and blood pressure, have been described in large scale prevention interventions, for example, the North Karelia and FINRISK studies.38 In the Cuban experience, the changes in population-wide body weight were adaptive responses to dietary energy availability and energy expenditure; therefore, it is not possible to separate these two effects on mortality patterns.

Other unique effects of this experience should also be considered. Problems with food production in Cuba led to the creation and expansion of urban agriculture, allowing citizens to buy fresh produce directly from farmers. Large public health campaigns in schools and communities are currently in place using community gardening as an effort to improve nutrition education and diet quality.39 During the crisis, the Cuban government acquired and distributed more than one million bicycles, which contributed to the population-wide increase in physical activity.39 These unique features of the Cuban experience make it to that degree non-comparable with other examples of economic crises. For example, previous research on the health consequences of the Great Depression in the US showed that banking suspensions (as a proxy for large scale economic decline) was not followed by a decrease in mortality.40

As noted previously, controversy persists over the net benefit of generalised weight loss in modern populations.41 As articulated by Geoffrey Rose,15 a key element of a prevention strategy for diseases in populations with near universal exposure to the causal risk factor is a downward shift in the overall mean. The data presented here confirm this theory. The Cuban experience shows that within a relatively short period, modest weight loss in the whole population can have a profound effect on the overall burden of diabetes. In Cuba, weight loss also had a major effect on trends in cardiovascular diseases and all cause mortality. Although obesity is an important risk factor for cancer,42 only modest changes in cancer mortality were observed.

Our study has some important limitations. We had no data on diabetes incidence for most crisis years, and rates in the subsequent years showed wide fluctuations. Data for diabetes mortality were available for the whole study period, but might not have adequately represented the health burden of diabetes. Death certificates are subject to misclassification bias, although the parallel trends in cardiovascular and all cause mortality rule out substantial shifts away from diabetes to major illnesses that occurred at the same time—the most common of which would have been vascular in cause. The cyclic pattern of the observed trends makes a bias less likely, owing to widespread changes in coding of death certificates. Estimating dietary intake from food disappearance data has known limitations, but data from available dietary surveys for the years before, during, and after the special period were consistent with food disappearance data from the Food and Agriculture Organization.8

Conclusions and policy implications

We found that a population-wide loss of 4-5 kg in weight in a relatively healthy population was accompanied by diabetes mortality falling by half and mortality from coronary heart disease falling by a third. Furthermore, a rebound in body weight was associated with an increased diabetes incidence and mortality, and a deceleration of the decline in mortality from coronary heart disease. So far, no country or regional population has successfully reduced the distribution of body mass index or reduced the prevalence of obesity through public health campaigns or targeted treatment programmes.16 The latest reports in the US have documented a plateau in the epidemic curve of obesity in adults,43 children, and adolescents,44 but the public health effects of these changes have not yet been reported. It is therefore not possible to compare the Cuba findings with other populations. Therefore, the generalisability of our findings is uncertain. Nonetheless, these data are a notable illustration of the potential health benefits of reversing the global obesity epidemic.

What is already known on this topic

• 
  

  The health effects of population-wide changes in body weight on a well nourished population with a functioning universal health system is unknown

  
  
• 
  

  Large reductions in diabetes and cardiovascular mortality were noted after the population-wide weight loss in Cuba, during the economic crisis of the early 1990s

What this study adds

• 
  

  Body weight regain in the Cuban population was associated with an increase in diabetes prevalence, incidence, and mortality, as well as a deceleration in the previously declining rates of cardiovascular death

  
  
• 
  

  Small losses in body weight and prevention of body weight gain across the population could be a critical strategy in the prevention of non-communicable diseases

Notes

Cite this as: BMJ 2013;346:f1515

Footnotes

• 
  

  We would like to acknowledge our great respect and admiration for the Cuban people who faced extremely difficult social and economic challenges during the special period—and by making common cause against this tragedy held up with courage and dignity. This tragedy was “man made” by international politics and should never happen again to any population.

  
  
• 
  

  Contributors: MF and RC contributed to the original design. PO, MB, and AM organised and conducted data collection. UB conducted the statistical analyses. MF, UB, and RC carried on the systematic literature research. MF, UB, PO, BC, JFK, and RC were active in the interpretation of results. The manuscript was drafted by MF, UB, JFK, and RC, and reviewed by all authors. All authors have approved the final report. All authors had full access to the data in the study and take responsibility for its integrity and the accuracy of the data analysis. MF is the guarantor for this study.

  
  
• 
  

  Funding: No funding sources had any role in the decision to submit this manuscript or in its writing.

  
  
• 
  

  Competing interests: All authors have completed the Unified Competing Interest form at www.icmje.org/coi_disclosure.pdf (available on request from the corresponding author) and declare: no support from any organisation for the submitted work; no financial relationships with any organisations that might have an interest in the submitted work in the previous 3 years; no other relationships or activities that could appear to have influenced the submitted work.

  
  
• 
  

  Ethical approval: The ethics committee of the University of Medical Sciences, Cienfuegos, approved protocols.

  
  
• 
  

  Data sharing: No additional data available.

This is an Open Access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 3.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/3.0/.

References

1. ↵
   
   
   

   West KM. Epidemiology of diabetes and its vascular lesions. Elsevier North-Holland, 1978.

   
   


2. ↵
   
   
   

   Obesity: preventing and managing the global epidemic. Report of a WHO consultation. World Health Organ Tech Rep Ser2000;894:i-xii,1-253.

   
   

   Medline


3. ↵
   
   
   

   Olshansky SJ, Passaro DJ, Hershow RC, Layden J, Carnes BA, Brody J, et al. A potential decline in life expectancy in the United States in the 21st century. N Engl J Med2005;352:1138-45.

   
   

   CrossRefMedlineWeb of Science


4. ↵
   
   
   

   Ford ES, Mokdad AH. Epidemiology of obesity in the Western Hemisphere. J Clin Endocrinol Metab2008;93(11 suppl 1):S1-8.

   
   

   CrossRefMedlineWeb of Science


5. ↵
   
   
   

   Durazo-Arvizu RA, McGee DL, Cooper RS, Liao Y, Luke A. Mortality and optimal body mass index in a sample of the US population. Am J Epidemiol1998;147:739-49.

   
   

   Abstract/FREE Full Text


6. ↵
   
   
   

   Flegal KM, Graubard BI, Williamson DF, Gail MH. Excess deaths associated with underweight, overweight, and obesity. JAMA2005;293:1861-7.

   
   

   CrossRefMedlineWeb of Science


7. ↵
   
   
   

   Capewell S, O’Flaherty M. Rapid mortality falls after risk-factor changes in populations. Lancet2011;378:752-3.

   
   

   CrossRefMedlineWeb of Science


8. ↵
   
   
   

   Franco M, Orduñez P, Caballero B, Tapia Granados JA, Lazo M, Bernal JL, et al. Impact of energy intake, physical activity, and population-wide weight loss on cardiovascular disease and diabetes mortality in Cuba, 1980-2005. Am J Epidemiol2007;166:1374-80.

   
   

   Abstract/FREE Full Text


9. ↵
   
   
   

   Lazo M, Franco M, Cooper R, Orduñez P. Better health statistics: the Cuban experience. Lancet2006;367:985-6.

   
   

   Medline


10. ↵
    
    
    

    Ríos Massabot NE, Fernández Viera RM, Jorge Pérez ER. [Medical registries in Cuba]. Revista Cubana de Salud Pública2005;31:345-52.

    
    


11. ↵
    
    
    

    Borowy I. Similar but different: health and economic crisis in 1990s Cuba and Russia. Soc Sci Med2011;72:1489-98.

    
    

    CrossRefMedline


12. ↵
    
    
    

    World Bank. World Bank data: Cuba profile. 2012. http://data.worldbank.org/country/cuba.

    
    


13. ↵
    
    
    

    Benet Rodríguez M, Morejón Giraldoni A, Espinosa Brito A, Landrove Rodríguez O, Peraza Alejo D, Orduñez García P. Factores de Riesgo para Enfermedades Crónicas en Cienfuegos, Cuba 2010. Resultados preliminares de CARMEN II. MediSur2010;8:56-9.

    
    


14. ↵
    
    
    

    Ezzati M, Riboli E. Can noncommunicable diseases be prevented? Lessons from studies of populations and individuals. Science2012;337:1482-7.

    
    

    Abstract/FREE Full Text


15. ↵
    
    
    

    Rose G. Sick individuals and sick populations. Int J Epidemiol1985;14:32-8.

    
    

    Abstract/FREE Full Text


16. ↵
    
    
    

    Franco M, Orduñez P, Caballero B, Cooper RS. Obesity reduction and its possible consequences: what can we learn from Cuba’s Special Period? CMAJ2008;178:1032-4.

    
    

    FREE Full Text


17. ↵
    
    
    

    Cooper RS, Orduñez P, Iraola Ferrer MD, Munoz JL, Espinosa-Brito A. Cardiovascular disease and associated risk factors in Cuba: prospects for prevention and control. Am J Public Health2006;96:94-101.

    
    

    CrossRefMedlineWeb of Science


18. ↵
    
    
    

    Keck CW, Reed GA. The curious case of Cuba. Am J Public Health2012;102:e13-22.

    
    

    Medline


19. ↵
    
    
    

    Campion EW, Morrissey S. A different model—medical care in Cuba. N Engl J Med2013;368:297-9.

    
    

    CrossRefMedlineWeb of Science


20. ↵
    
    
    

    Barceló A, Díaz O, Norat T, Mateo de Acosta O. [Diabetes mellitus en Cuba (1979-1989), I: variaciones relacionadas con edad y sexo]. Rev Cub Endocrinol1993;4:59-66.

    
    


21. ↵
    
    
    

    Arnold Y, Castelo L, Licea M, Medina I. [Comportamiento de indicadores epidemiológicos de morbilidad por diabetes mellitus en Cuba, 1998-2009]. Rev Peru Epidemiol2012;16:6.

    
    


22. ↵
    
    
    

    Espinosa-Brito A, Viera-Yaniz J, Chavez-Troya O, Nieto-Cabrera R. Death of the teaching autopsy: autopsy is a success story in Cuba. BMJ2004;328:166.

    
    

    FREE Full Text


23. ↵
    
    
    

    National Cancer Institute. Joinpoint regression program. 2012. http://surveillance.cancer.gov/joinpoint/.

    
    


24. ↵
    
    
    

    The Cuba Neuropathy Field Investigation Team. Epidemic optic neuropathy in Cuba—clinical characterization and risk factors. N Engl J Med1995;333:1176-82.

    
    

    CrossRefMedlineWeb of Science


25. ↵
    
    
    

    Orduñez-Garcia PO, Nieto FJ, Espinosa-Brito AD, Caballero B. Cuban epidemic neuropathy, 1991 to 1994: history repeats itself a century after the “amblyopia of the blockade”. Am J Public Health1996;86:738-43.

    
    

    MedlineWeb of Science


26. ↵
    
    
    

    National Institutes of Health. Weight loss does not lower heart disease risk from type 2 diabetes. 2012. www.nih.gov/news/health/oct2012/niddk-19.htm.

    
    


27. ↵
    
    
    

    Simmons RK, Echouffo-Tcheugui JB, Sharp SJ, Sargeant LA, Williams KM, Prevost AT, et al. Screening for type 2 diabetes and population mortality over 10 years (ADDITION-Cambridge): a cluster-randomised controlled trial. Lancet2012;380:1741-8.

    
    

    CrossRefMedlineWeb of Science


28. ↵
    
    
    

    Barton P, Andronis L, Briggs A, McPherson K, Capewell S. Effectiveness and cost effectiveness of cardiovascular disease prevention in whole populations: modelling study. BMJ2011;343:d4044.

    
    

    Abstract/FREE Full Text


29. ↵
    
    
    

    Arnold AM, Newman AB, Cushman M, Ding J, Kritchevsky S. Body weight dynamics and their association with physical function and mortality in older adults: the Cardiovascular Health Study. J Gerontol A Biol Sci Med Sci2010;65:63-70.

    
    

    MedlineWeb of Science


30. ↵
    
    
    

    Rzehak P, Meisinger C, Woelke G, Brasche S, Strube G, Heinrich J. Weight change, weight cycling and mortality in the ERFORT Male Cohort Study. Eur J Epidemiol2007;22:665-73.

    
    

    CrossRefMedlineWeb of Science


31. ↵
    
    
    

    Taing KY, Ardern CI, Kuk JL. Effect of the timing of weight cycling during adulthood on mortality risk in overweight and obese postmenopausal women. Obesity (Silver Spring)2012;20:407-13.

    
    

    CrossRefMedline


32. ↵
    
    
    

    Wannamethee SG, Shaper AG, Walker M. Weight change, weight fluctuation, and mortality. Arch Intern Med2002;162:2575-80.

    
    

    CrossRefMedlineWeb of Science


33. ↵
    
    
    

    Stevens VL, Jacobs EJ, Sun J, Patel AV, McCullough ML, Teras LR, et al. Weight cycling and mortality in a large prospective US study. Am J Epidemiol2012;175:785-92.

    
    

    Abstract/FREE Full Text


34. ↵
    
    
    

    Field AE, Manson JE, Laird N, Williamson DF, Willett WC, Colditz GA. Weight cycling and the risk of developing type 2 diabetes among adult women in the United States. Obes Res2004;12:267-74.

    
    

    MedlineWeb of Science


35. ↵
    
    
    

    Waring ME, Eaton CB, Lasater TM, Lapane KL. Incident diabetes in relation to weight patterns during middle age. Am J Epidemiol2010;171:550-6.

    
    

    Abstract/FREE Full Text


36. ↵
    
    
    

    Houston TK, Person SD, Pletcher MJ, Liu K, Iribarren C, Kiefe CI. Active and passive smoking and development of glucose intolerance among young adults in a prospective cohort: CARDIA study. BMJ2006;332:1064-9.

    
    

    Abstract/FREE Full Text


37. ↵
    
    
    

    Yeh HC, Duncan BB, Schmidt MI, Wang NY, Brancati FL. Smoking, smoking cessation, and risk for type 2 diabetes mellitus: a cohort study. Ann Intern Med2010;152:10-7.

    
    

    Medline


38. ↵
    
    
    

    Vartiainen E, Laatikainen T, Peltonen M, Juolevi A, Mannisto S, Sundvall J, et al. Thirty-five-year trends in cardiovascular risk factors in Finland. Int J Epidemiol2010;39:504-18.

    
    

    Abstract/FREE Full Text


39. ↵
    
    
    

    Borowy I. Degrowth and public health in Cuba: lessons from the past? J Clean Prod2013;38:17-26.

    
    

    CrossRef


40. ↵
    
    
    

    Stuckler D, Meissner C, Fishback P, Basu S, McKee M. Banking crises and mortality during the Great Depression: evidence from US urban populations, 1929-1937. J Epidemiol Community Health2012;66:410-9.

    
    

    Abstract/FREE Full Text


41. ↵
    
    
    

    Cooper RS. Which factors confound or modify the relationship between body weight and mortality? Int J Obes (Lond)2008;32(suppl 3):S47-51.

    
    

    CrossRefMedline


42. ↵
    
    
    

    Colditz GA, Wei EK. Preventability of cancer: the relative contributions of biologic and social and physical environmental determinants of cancer mortality. Annu Rev Public Health2012;33:137-56.

    
    

    CrossRefMedlineWeb of Science


43. ↵
    
    
    

    Ogden CL, Carroll MD, Kit BK, Flegal KM. Prevalence of obesity and trends in body mass index among US children and adolescents, 1999-2010. JAMA2012;307:483-90.

    
    

    CrossRefMedline


44. ↵
    
    
    

    Flegal KM, Carroll MD, Kit BK, Ogden CL. Prevalence of obesity and trends in the distribution of body mass index among US adults, 1999-2010. JAMA2012;307:491-7.

    
    

    CrossRefMedlineWeb of Science

==================

Economic Hard Times in Cuba Reduces Rates Of Heart Disease And Diabetes

Medical News Today Article Date: 10 Apr 2013 – 11:00 PDT
http://www.medicalnewstoday.com/articles/258930.php

During the 1990s in Cuba, food was sparse and gasoline was nearly unavailable because of the US embargo and loss of Russian support; one of the positive consequences of that situation was a reduction in rates of diabetes and heart disease.

The “special period” (as it became known) was between 1991 and 1995 and consisted of people using donkeys to move loads, as well as the government importing 1.5 million bicycles from China for modes of transportation. The current study, published in BMJ, aimed to determine whether eating less, cycling, walking, and manual labor contributed to the health of the nation as a whole. In other words, might a change in whole nation’s dietary intake plus increased physical activity caused by transportation policies impact on the incidence of type 2 diabetes and cardiovascular disease?

The shortage of food and fuel in Cuba produced a reduction in dietary energy intake and a large increase in physical activity. These changes produced a population-wide weight loss of 4-5kg (8-11 lbs.) Significant decreases in death rates from coronary heart disease and diabetes were seen shortly after.

A team of investigators from Cuba, Spain, and the U.S. analyzed..:

• ..link between diabetes prevalence and population-wide body changes
  
• ..incidence and death rates from type 2 diabetes and cardiovascular disease
  
• ..cancer and all-causes

Cuba is a nation with a long history of public health and cardiovascular research, which provided the data needed from primary chronic disease registries, cardiovascular studies, and national health surveys. The Cuban population has seen economic and social changes directly associated with physical activity and food intake from 1980 to 2010.

The data used for the analysis included participants between the ages of 15 and 74 years and information on:

• height
  
• weight
  
• energy intake
  
• smoking
  
• physical activity

Dramatic Drop in Rates Seen Just From This Instance

Changes in physical activity and energy intake went hand-in-hand with changes in body weight. For example, between 1991 and 1995 there was a 5kg reduction on average, while between 1195 and 2010 a weight rebound was seen of 9kg.

The incidence of smoking fell during the 1980s and 1990s and decreased even more quickly in the 2000s.

The prevalence of diabetes continued to rise from 1997 as the population started to gain weight. It then decreased during the weight loss period, followed by another increase until it peaked in the weight regain years.

A sudden downward cycle in deaths from diabetes was seen five years after the beginning of the weight loss period, in 1996. This went on for about six years during which energy consumption status slowly recovered and physical activity levels decreased. In 2002, death rates went back to pre-crisis figures and a significant increase in diabetes deaths was seen.

Stroke and coronary heart disease death rates slowly dropped from 1980 to 1996 with a bigger decrease occurring after the weight-loss phase. During the weight regain phase, these declines stopped.

The investigators concluded that the “Cuban experienced in 1980-2010″ showed that within a short period, noteworthy weight loss in the whole population can greatly affect the overall burden of deaths from diabetes and cardiovascular disease.

They point out that findings show that a 5kg population-wide weight loss “would reduce diabetes mortality by half and CHD mortality by a third”, however, these findings are an unusual circumstance from this one experience. On the other hand, they do provide a “notable illustration of the potential health benefits of reversing the global obesity epidemic”.

Previous research has shown that there is a link between diabetes and heart disease. Diabetics are more likely to develop hardened arteries than non-diabetics.

A separate study demonstrated the association between sitting for long periods and developing heart disease and diabetes. Even for people who are physically active, sitting for long periods could raise the risk for both conditions.

Written by Kelly Fitzgerald

.

<美 시부트라민 시판중단‥식약청 안절부절>(종합)
연합뉴스 | 입력 2010.10.09 11:30 | 수정 2010.10.09 13:49 |

“자체 판단력 없는 안이한 대응” 비난 봇물

(서울=연합뉴스) 김세영 기자 = 미국 식품의약청(FDA)이 자국 제약업체 애보트의 살빼는 약 리덕틸(미국명:메리디아)에 대해 시판중단 권고라는 초강수를 두자 우리나라 보건당국도 비상이 걸렸다.

특히 유럽 보건당국의 시판중단 권고에 이어 FDA까지 나서 사실상 시판중단 조치를 취하면서 식품의약품안전청이 앞서 시판유지 결정으로 안이한 대응을 했다는 비판을 면하기 어렵게 됐다.

9일 관련기관과 업계에 따르면 식약청이 미국 FDA의 시판중단 권고 조치에 뒤따라 곧바로 안전성 재검토 발표를 내놓음으로써 기존에 시판유지를 결정한 자체 안전성 조치 결정을 번복할 가능성을 시사했다.

식약청은 유럽의약품청(EMA)이 올해 1월 심장발작과 뇌졸중 위험을 높인다며 시판중단을 권고했는데도 6개월 후인 7월 국내시판을 유지하기로 결정을 내린 바 있다.

애보트가 EMA와 함께 2003년부터 지난해까지 6년간 뇌졸중, 말초동맥 질환 등을 앓은 적이 있는 심혈관계 질환자가 다수인 9천804명을 대상으로 리덕틸의 안전성 시험을 실시한 결과 위약군 보다 심혈관계 질환의 위험성이 16% 높은 것으로 나타나자 안전성 문제가 수면 위로 떠올랐기 때문이다.

식약청은 그런데도 지난 7월 “이 시험에서 치명성이 있는 위험의 유의미한 연관성이 나타나지 않았고 허가사항대로 투약할 때 부작용의 판단이 없다”며 리덕틸을 포함한 시부트라민 성분의 시판을 유지하는 대신 오남용 우려 의약품으로 지정해 처방기록을 남기도록 하는 수준의 안전성 조치를 내렸었다.

그로부터 2개월여가 지난 이날 FDA가 시판중단을 권고하자 부랴부랴 판매중단을 포함한 재검토 계획을 내놓은 것이다.

현재 미국 내에서도 FDA가 당뇨병약 아반디아에 대해 시판중단 조치를 뒤늦게 했을 뿐 아니라 리덕틸에 대해서도 유럽의 조치에 이어 9개월이나 늦게 조치한 데 대해 비판의 목소리가 높은 실정이다.

상황이 이렇자 애보트 본사가 FDA의 권고를 받아들여 자발적으로 시판을 중단하기로 결정했을 뿐 아니라 리덕틸을 판매 중인 캐나다와 호주에도 시판을 중단할 계획을 내놓았다.

시부트라민은 지난해 국내시장 매출 1천11억원으로 2006년 233억원에서 매년 증가해 왔다.

식약청 관계자는 “FDA가 시판권고라는 조치를 내놓으면 새로운 부작용에 대한 증거가 있는지 살펴봐야 한다고 판단해 재검토 계획을 내놓았다”고 말했다.

한국애보트 관계자는 “식약청에 미국 등의 조치를 알렸다”며 “식약청이 조만간 재조치 결정을 내릴 것으로 알고 있는데 그에 따를 계획”이라고 말했다.

건강사회를 위한 약사회 강아라 사무국장은 “의약품의 안전성 문제가 발생하면 국내 환자들의 피해현황에 대한 자체 연구조사를 벌여야 하는데 후진적으로 미국 보건당국 등의 조치를 따라가겠다는 발상이 문제”라고 지적했다.

강 사무국장은 “시부트라민 문제가 하루 이틀 된 게 아닌데 자체적으로 우리나라 환자가 그동안 어떤 영향을 받았는지 부작용 관리체계뿐 아니라 상관관계를 분석하지도 못하니 FDA 등 해외 보건당국의 발표를 기다리고 있을 수 밖에 없다”고 말했다.

thedopest@yna.co.kr

How genes influence obesity, senility – and the effects of olive oil

The genome has allowed scientists to shed new light on some of the most intractable medical conditions. Steve Connor reports

출처 : [Independent] Tuesday, 20 April 2010
http://www.independent.co.uk/news/science/how-genes-influence-obesity-senility-ndash-and-the-effects-of-olive-oil-1948818.html

In 2000 President Bill Clinton and Prime Minister Tony Blair announced in a joint satellite broadcast from the White House and Downing Street that scientists had completed the first draft of the human genome. Ten years on and medical researchers are now enjoying a ‘genome bonanza’ that has begun to elucidate the complex role of genes in human health.

Three such studies are published today. One describes how a gene linked to obesity is also associated with mental deterioration, a second shows how another gene affects memory and thinking in old age and the third study identifies the part of the human genome affected by a healthy Mediterranean diet – or more specifically virgin olive oil.

When the draft genome was published, President Clinton ruffled a few atheistic feathers when he suggested that the milestone represents the translation of a mysterious code designed by a higher being. “Today, we are learning the language in which God created life,” he said.

Whether God-given or not, it took another three years for scientists to finally complete the entire ‘book of life’, as the human genome came to be called. And it was soon clear that as a powerful research tool it would unleash untold insights into the workings of the human body, as well as our relationships to the wider living world.

The genome contains the entire digital recipe for making a human being. It consists of three billion individual letters of the genetic alphabet, arranged in a sequence that is unique to each person, which includes approximately 23,000 human genes that determine the production of the proteins, cells and tissues of the body.

For decades, biological science argued abut “nature versus nurture”. Is environment and upbringing the important influence that determines a person’s health and psychological makeup, or is it in the genes that they have inherited?

It turns out that both are important but more interestingly it is the influence of the environment on the genes that appears to play a decisive role in how people develop. The human genome has shown how a disparate variety of individual genes combine together, along with environmental influences, to affect a person’s physical and mental well-being.

Take the influence of diet on health. There is strong evidence to suggest that a Mediterranean diet lowers the risk of heart disease, stroke and even Alzheimer’s disease. This is the environment at work. But a study by Francisco Perez-Jimenez from the University of Cordoba in Spain, published in the journal BMC Genomics, shows how virgin olive oil can actually influence certain genes involved in triggering inflammatory processes of the immune system.

Professor Perez-Jimenez took 20 patients with metabolic syndrome, which is linked with heart disease and type-2 diabetes, and fed them for six weeks with two types of breakfast, one with virgin olive oil, which is rich in substances called phenols, and the other with low-phenol olive oil. As the experiment unfolded, the scientists tested the activity of the volunteers’ genes and found a clear association between virgin olive oil and the suppression of the inflammatory genes.

“We identified 98 differentially expressed genes when comparing the intake of phenol-rick olive oil with low-phenol oil. Several of the repressed genes are known to be involved in pro-inflammatory processes, suggesting that the diet can switch the activity of the immune system to a less deleterious inflammatory profile, as seen in metabolic syndrome,” Professor Perez-Jimenez said. “These findings strengthen the relationship between inflammation, obesity and diet and provide evidence at the most basic level of healthy effects derived from virgin olive oil consumption in humans.”

But it is not just physical health that is benefiting from understanding the human genome. A number of studies into the genes involved in brain development and function are helping to revolutionise our understanding of human cognition and mental health.

Alexandra Fiocco at the University of California, San Francisco, led a study of nearly 3,000 people aged between 70 and 79 who were regularly tested for mental performance, specifically memory and concentration. Their DNA had also been tested to see which of two genetic variants of a gene called COMT the volunteers were carrying.

The COMT gene, which was already known to influence thinking and mental performance, comes in two forms, or alleles, called Val and Met. The study, published in the journal Neurology, demonstrated that elderly people with the Val version of the gene seemed to be better protected against mental decline as they got older compared to people carrying the Met version of the COMT gene.

“This is the first study to identify a protective relationship between this gene variant and cognitive function. This finding is interesting because in younger people, the Val genotype has been shown to have a detrimental effect,” Dr Fiocco said. “But in our study of older people, the reverse was true. Finding connections between this gene, its variants and cognitive function may help scientists find new treatments for the prevention of cognitive decline.”

The third genome-related study, published in the Proceedings of the National Academy of Sciences, investigated 200 healthy, elderly people whose brains were scanned as part of research into Alzheimer’s disease. In addition to measuring their brains, scientists also analysed their DNA, specifically a gene known to be involved in obesity, called fat mass and obesity associated (FTO) gene.

What emerged was a clear association between diminished brain volume – or atrophy – and a certain version of the FTO gene. It was already known that obesity is a risk factor for cognitive decline in older age, and it has been previously associated with detectable differences in the brain volume of overweight people.

The researchers, led by Paul Thompson of the University of California, Los Angeles, could not identify the mechanism causing the brain atrophy, or how the FTO might influence this process. However, they believe there is enough evidence to suggest that the particular variant of the FTO contributes to brain deterioration beyond the simple influence of a person’s body weight.

The FTO gene, sometimes called the “fatso” gene, has emerged from the genome project as a leading genetic influence in obesity. It seems to account for a substantial proportion of obesity cases.

In 2007, for instance, scientists found a genetic variation of the FTO gene that gives a child a 70 per cent higher risk of developing obesity compared to a child with another version of the gene. It was the first real insight into why some people are born with a predisposition to putting on weight, while others stay slim even in a high-calorie environment.

“Even though we have yet to fully understand the role played by the FTO gene in obesity, our findings are as source of great excitement,” said Professor Mark McCarthy of Oxford University. “By identifying this genetic link, it should be possible to improve our understanding of why some people are more obese, with all the associated implications such as increased risk of diabetes and heart disease.”

Shortly before that study was published, another research team analysed the genetic factors that may play a role in determining whether someone is likely to be able to give up smoking or not. It found that people who tried to give up and failed were much more likely to have inherited a series of genetic traits compared to successful quitters. Scientists screened more than 520,000 genes from hundreds of smokers who had tried to quit. The screening eventually led to 221 genes that distinguished successful from unsuccessful quitters. Many of these genes were already associated with addiction and drug dependence.

Nora Volkow, director of the US National Institute on Drug Abuse in Washington, said the study marked the first time that scientists had been able to identify the genes involved in the ability to stop smoking. She said: “These findings lend further support to the idea that nicotine dependence shares some common genetic vulnerabilities with addictions to other legal and illegal substances.”

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인간 유전자, 비만ㆍ노화에 영향

출처 : 연합뉴스 2010/04/20 11:37 송고 
http://www.yonhapnews.co.kr/international/2010/04/20/0606000000AKR20100420105600009.HTML?template=2088

(서울=연합뉴스) 인간 게놈지도 초안이 완성된지 10년이 지난 현재 인간 건강에 대한 유전자의 복잡한 역할을 규명해주는 연구가 본격적으로 시작됐다고 영국 일간 인디펜던트 인터넷판이 20일 보도했다.

   이날 세편의 관련 연구가 발표됐는데 한 연구는 비만과 연관된 유전자가 뇌기능 쇠퇴와도 관련이 있다는 내용, 또 한 연구는 특정 유전자가 노인들의 기억과 사고에 영향을 준다는 내용, 마지막 연구는 건강식인 지중해식 식사, 특히 천연 올리브유가 인간 게놈에 영향을 준다는 내용으로 되어있다.

   지난 수십년 동안 과학자들은 인간의 건강과 심리적 기제에 영향을 주는 것이 환경과 교육인지, 유전인지에 대해 논쟁을 벌여왔다.

   두 가지 모두 중요한 것으로 판명됐으나 유전자에 대한 환경의 영향이 인간 발전에 결정적인 역할을 하는 것으로 보인다. 인간 게놈은 어떻게 서로 다른 각각의 유전자들이 환경의 영향을 받아 서로 합쳐져 인간의 육체적, 정신적 건강에 작용을 하는지를 설명했다.

   건강에 대한 다이어트의 예를 들면 지중해식 식사가 심장병, 뇌졸중, 심지어 치매의 위험을 낮춘다는 강력한 증거가 있다. 이때 중요한 것은 환경이다.

   그러나 스페인 코르도바대학의 프란시스코 페레스-지메네스 교수는 천연 올리브 오일이 실제로 면역체계의 염증을 유발하는데 관련된 특정 유전자들에 영향을 줄 수 있다는 사실을 발견했다.

   그는 대사 증후군 환자 20명을 상대로 6주에 걸쳐 한 그룹에는 페놀이 풍부한 천연 올리브유, 다른 그룹에는 저 페놀 올리브유를 아침식사에 제공했다. 과학자들은 이들의 유전자의 행동을 측정하고 천연 올리브유와 염증 유전자 억제 사이에 명백한 관련이 있다는 사실을 확인했다.

   이 연구는 ‘BMC 게노믹스’에 실렸다.

   한편 샌프란시스코의 캘리포니아대학 알렉산드라 피오코 교수는 70세에서 79세 사이의 노인 약 3천명을 상대로 주기적으로 기억력과 집중력 등 정신적 활동을 관찰하고 이들이 COMT 유전자의 두가지 유전적 변형 중 어떤 것을 갖고 있는지 알아보기 위해 DNA 검사를 실시했다.

   이미 사고와 정신적 활동에 영향을 주는 것으로 알려진 COMT 유전자는 Val과 Met 두 형태로 구분되는데 연구 결과 Val 형태의 COMT 유전자를 가진 노인들은 Met 형태를 가진 노인들보다 노화에 따른 정신적 쇠퇴로부터 더 잘 보호되고 있었다.

   이 연구는 ‘뉴롤로지’ 최근호에 게재됐다.

   마지막 게놈관련 연구는 ‘전국과학아카데미회보’에 발표된 것으로, 로스앤젤레스 캘리포니아대학의 폴 톰슨 교수가 이끄는 연구팀은 치매 연구의 일환으로 200명의 건강한 노인의 뇌의 크기를 측정하고 DNA를 분석했으며 특히 FTO로 알려진 비만관련 유전자를 관찰했다.

   연구결과 뇌의 크기 위축과 특정 형태의 FTO 유전자 사이에 명확한 관계가 나타났다.

   나이가 들면서 비만이 인지기능 저하를 일으키는 위험 요소라는 것은 이미 알려진 사실이다.

   연구팀은 뇌 위축 메커니즘이나 FTO 유전자가 이 과정에 어떤 작용을 하는지는 규명해내지 못했으나 FTO의 특정 형태가 몸무게의 단순한 영향에서 벗어나 뇌기능 저하에 하나의 원인이 된다는 것을 시사하는 충분한 증거가 있다고 밝혔다.

   kej@yna.co.kr

<고속도로변 살면 동맥경화 위험 높다>

출처 : 연합뉴스 2010/02/15 09:53  
http://www.yonhapnews.co.kr/international/2010/02/15/0601110100AKR20100215017500075.HTML?template=3398

(로스앤젤레스=연합뉴스) 최재석 특파원 = 고속도로 주변에 사는 사람은 심장병이나 뇌졸중을 일으킬 수 있는 동맥경화 위험이 일반 주민보다 두 배가량 높다는 연구결과가 나왔다.

   14일 로스앤젤레스타임스(LAT)에 따르면 미국 서던캘리포니아대(USC)와 UC버클리 연구팀이 LA 지역의 고속도로 100ｍ 내에 사는 주민 1천483명의 경동맥 혈관벽 두께를 초음파를 이용해 3년간 6개월 단위로 측정했다,

그 결과 이 연구에 참여한 주민들의 혈관벽 두께가 매년 일반인의 2배인 5.5마이크로미터(㎛)씩 두꺼워지는 것으로 나타났다.

   연구팀은 이 같은 결과가 고속도로 주변 집에서 검출된 외부 분진(자동차 배기관에서 뿜어나오는 독성먼지)의 양과 관련 있다고 밝혔다.

   USC의 하워드 호디스 박사는 이번 연구 결과 “환경적인 요소가 심장 혈관질환 위험에 이전의 생각보다 더 큰 영향을 미칠 수 있다는 점을 알 수 있다”고 설명했다.

   이번 연구결과는 이번 주 학술지인 플로스원(PloS ONE)에 실릴 예정이다.

   bondong@yna.co.kr