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22 www.hello-philippines.com HEALTH and Lifestyle November 2015 / Fortnightly – No. 22 • UK & Europe Edition
Lack of exercise ‘highest risk’ for women over 30
“HEART disease warning: It reports that individual women of Disease reported relative risks
Lack of exercise is worse risk for in their thirties who are inactive are based on pooling of results (meta- Exercise is important for women of all ages highest population attributable risk
over-30s women than smoking or almost 50% more likely to develop analyses) of epidemiological studies. if it is the most common risk factor
obesity,” The Independent reports. heart disease. However, the study Smoking was associated with the in a population. But this is not
It is important to stress that this refers to outcomes at the population As the risk associated with risk greatest increase in risk of heart necessarily because it is associated
headline is based on a result that is level. factors varies by age and with sex, disease at all ages. Of the four with the greatest increase in risk for
applicable to a population, not to an the researchers used relative risks factors assessed, smoking had the the individual.
individual. The 50% figure actually refers specifically for women and the age highest population attributable risk
to the proportion of heart disease groups they were looking at. in women aged 22 to 27 (59%) and This study has found that
The Australian study the headline cases that could be eliminated from 25 to 30 (56.6%). smoking had the highest population
is reporting on looked at population the population as a whole if this Relative risks in the Global attributable risk in women under
attributable risk, or PARs. PARs can inactivity was not present. Burden of Disease reports compared The population attributable 30. If women in this age group gave
be used to estimate the proportion the risk of heart disease for: risk associated with smoking was up smoking, approximately 55-60%
of cases of a disease, such as heart It could be the case that lower in women aged 47 to 64 and of cases of heart disease would be
disease, that would not occur in a eliminating a risk factor reduces the • high BMI (>23kg/m2) versus in the older cohort, and was 5% in estimated to be eliminated.
population if the risk factor, such as number of cases the most because low BMI (23kg/m2) women aged 73 to 78 (the oldest
inactivity, was eliminated. it is the most common risk factor in group of women with smoking data In women aged 30 or over,
a population, rather than because • current smokers versus non- available). physical inactivity (low or no
The researchers wanted to it is associated with the greatest smokers physical activity) had the highest
determine the proportion of heart increase in risk for the individual. In women aged 31 to 90, physical population attributable risk of the
disease that was attributable to • high blood pressure inactivity (no or low physical four factors assessed. If inactive
four specific risk factors: smoking, What kind of research was (>115mmHg average) versus activity) had the highest population women aged 31 to 36 increased
physical inactivity, high body mass this? This was an analysis of data low blood pressure (<115mmHg attributable risk of the four their physical activity, about 51%
index, and high blood pressure. from cohort studies. It aimed to average) factors assessed. The population of cases of heart disease could be
They looked at groups of women of determine the proportion of heart attributable risk of physical eliminated.
different ages. disease attributable to four specific • no, low and moderate physical inactivity in women aged 31 to 36
risk factors in Australian women of activity versus high physical activity was 50.9%. The population attributable risk
Two key findings of the study different ages. for inactivity was lower in older age
were that: The latter was assessed using On average, the population groups, but if women aged 47 to 64
The figure the researchers were what is known as MET (metabolic attributable risk was: increased their physical activity,
• smoking had the greatest PAR calculating is called population equivalents), a calculation of how 33% of heart disease cases could be
in women under 30 – if women attributable risk, or PAR. It indicates much energy is burned off over a • 48% in the younger cohort eliminated. If women aged 73 to 90
aged under 30 gave up smoking, the proportion of cases of a disease minute during certain activities. For (aged 22 to 39) did the same, 24% of heart disease
approximately 55-60% of cases of that would not occur in a population example, for most people, running cases could be eliminated.
heart disease would be eliminated if a risk factor was eliminated. PAR at 10 mph is equal to 16 METs. • 33% in the mid-aged cohort
depends on how common a risk (aged 47 to 64) One important factor to note is
• physical activity had the factor is (its prevalence) and the The researchers used estimates that these population attributable
greatest PAR in women aged 31 strength of its association with the of how common each risk factor was • 24% in the older cohort (aged risk figures are estimates designed
and older – if women aged 31 to disease. (prevalence) in Australian women 73 to 90) to give an indication of the
36 increased their physical activity, from the Australian Longitudinal maximum effect that might be
about 51% of cases of heart disease Researchers and policy makers Study on Women’s Health between How did the researchers interpret achieved by removing these risk
could be eliminated can use these figures to help them 1999 and 2012. This study surveyed the results? The researchers factors. Achieving this change may
decide which risk factors they women born from 1973-78 (the concluded that, “From about age 30, be difficult.
It pays to emphasise that factors should be targeting to get the younger cohort), 1946-51 (the mid- the population risk of heart disease
could have the greatest PAR greatest reduction in disease in the aged cohort), and 1921-26 (the older attributable to inactivity outweighs The estimates also do not take
simply because they are the most population as a whole. cohort) every three years. that for other risk factors, including into account interactions between
common, rather than because they high BMI. these and other risk factors. They
are associated with the greatest What did the research involve? The risk factors were defined as: therefore may overestimate the
increase in risk for the individual. In • high BMI (>23kg/m2) “Programmes for the promotion impact of each factor individually.
fact, smoking was associated with The researchers calculated • current smoking and maintenance of physical activity
the greatest increase in risk of heart population attributable risk for • high blood pressure (defined deserve to be a much higher public As population attributable factors
disease at all ages. heart disease that was attributable as being diagnosed or treated for health priority for women than they take into account the prevalence of
to four risk factors: hypertension) are now, across the adult lifespan.” risk factors, they will also change
It would be unwise to think • no or low physical activity depending on how common a risk
you could offset one risk against • high body mass index (BMI) (defined by the Global Burden of Conclusion. This study has found factor is, and will therefore differ
another. Just because you take • smoking Disease study) – MET minutes per that the proportion of heart disease across populations with different
regular exercise does not mean that • high blood pressure week were calculated from reported attributable to four risk factors behaviours and characteristics.
it is safe for you to smoke. • physical inactivity time spent walking briskly and in (smoking, high BMI, high blood
To do this, they used relative moderate and vigorous leisure time pressure and physical inactivity) Overall, the findings of this study
Where did the story come risks of heart disease associated activities in Australian women changes with do not change the message for
from? The study was carried out with high BMI, smoking, high The researchers used the relative age. individuals about the importance
by researchers from the University blood pressure and physical activity risks and prevalence estimates to of reducing unhealthy behaviours
of Sydney and the University of from the Global Burden of Disease calculate population attributable The figures calculated in such as smoking, and making sure
Queensland in Australia. reports. risks using standard methods. this study – called population we stay active.
The relative risks give a measure What were the basic results? attributable risk – indicate the
Some of the data came from of the strength of the association proportion of cases that would If you are concerned about your
the Australian Longitudinal Study between each risk factor and The risk of heart disease associated not occur in a population if risk fitness level, why not try the NHS
on Women’s Health, funded by heart disease. The Global Burden with each risk factor varied across factors were eliminated. Population fitness plan, which is designed to
the Australian Department of age groups, as did the prevalence of attributable risk depends on the get fitness phobes up to speed in 12
Health. One of the researchers each risk factor. increase in risk of heart disease weeks. n NHS Choices
was supported by the Australian associated with the factor, and the
National Health and Medical Smoking was associated with the number of women with the risk
Research Council. greatest increase in risk of heart factor.
The study was published in the disease at all ages. Of the four A risk factor could have the
peer-reviewed British Journal of factors assessed, smoking had the
Sports Medicine. highest population attributable risk
in women aged 22 to 27 (59%) and
The results of the study were
reported well by BBC News and 25 to 30 (56.6%).”
The Daily Telegraph. However, the
Daily Mail has misinterpreted the
meaning of the figures reported in
the study – specifically, how the
population attributable risk tool
“works”.