Researchers use new technique to draw conclusions from disparate
diet studies
American Society for Biochemistry and Molecular Biology
If you want to know what you should use to sauté your dinner, that's a harder question to answer.
Many of the studies establishing that mono- and polyunsaturated fats are better for blood lipids than saturated fats swapped out one food source at a time, making it hard to tell which of a plethora of vegetable oils might be most beneficial.
Lukas
Schwingshackl, a researcher at the German Institute of Human Nutrition, is
among a wave of scientists using sophisticated statistical tools to reduce
uncertainty about what the mountain of data in the nutrition literature can
tell us.
In a paper published in the Journal of Lipid Research this month, Schwingshackl and colleagues used an emerging technique called network meta-analysis to extract insight from published studies on the effect of various dietary oils on blood lipids. The researchers found that seed oils were the best choice for people looking to improve their cholesterol.
In a paper published in the Journal of Lipid Research this month, Schwingshackl and colleagues used an emerging technique called network meta-analysis to extract insight from published studies on the effect of various dietary oils on blood lipids. The researchers found that seed oils were the best choice for people looking to improve their cholesterol.
To
get around the fact that there has been no giant study comparing all available
oils,
Schwingshackl's team constructed a network meta-analysis showing how different oils and solid fats have in fact been matched up.
The researchers rounded up 55 studies dating to the 1980s that assessed the effects of consuming the same amount of calories from two or more different oils on participants' blood lipids.
To be included in the analysis, a study had to compare the effect of two or more oils or fats (from a list of 13) on patients' LDL, or other blood lipids like total cholesterol, HDL-cholesterol or triglycerides, over at least three weeks.
Schwingshackl's team constructed a network meta-analysis showing how different oils and solid fats have in fact been matched up.
The researchers rounded up 55 studies dating to the 1980s that assessed the effects of consuming the same amount of calories from two or more different oils on participants' blood lipids.
To be included in the analysis, a study had to compare the effect of two or more oils or fats (from a list of 13) on patients' LDL, or other blood lipids like total cholesterol, HDL-cholesterol or triglycerides, over at least three weeks.
Suppose
both butter and sunflower oil had been tested against olive oil. The
statistical approaches of network meta-analysis allowed the team to infer a
quantitative comparison between butter and sunflower oil, even if they had
never faced off in the clinic.
Schwingshackl explained, "The beauty of this method is that you can compare a lot of different interventions simultaneously... and, in the end, you get a ranking. You can say, 'this is the best oil for this specific outcome.'"
Schwingshackl explained, "The beauty of this method is that you can compare a lot of different interventions simultaneously... and, in the end, you get a ranking. You can say, 'this is the best oil for this specific outcome.'"
In
this study, the final ranking indicated that, as your doctor has been telling
you for years, solid fats like butter and lard are the worst choice for LDL.
The best alternatives are oils from seeds.
"Sunflower oil, rapeseed oil, safflower oil and flaxseed oil performed best," said Schwingshackl. "Some people from Mediterranean countries probably are not so happy with this result, because they would prefer to see olive oil at the top. But this is not the case."
"Sunflower oil, rapeseed oil, safflower oil and flaxseed oil performed best," said Schwingshackl. "Some people from Mediterranean countries probably are not so happy with this result, because they would prefer to see olive oil at the top. But this is not the case."
There
are a few important caveats to the research. For starters, it measured only
blood lipids. "This is not a hard clinical outcome," said
Schwingshackl. "LDL is a causal risk factor for coronary heart disease,
but it's not coronary heart disease.
"However, he said, it might be difficult to conduct a study comparing those clinical outcomes -- for starters, someone would need to find study participants willing to eat just one type of fat for years at a time.
"However, he said, it might be difficult to conduct a study comparing those clinical outcomes -- for starters, someone would need to find study participants willing to eat just one type of fat for years at a time.
Meta-analyses
run the risk of misleading by combining several pieces of low-confidence data
into a falsely confident-sounding ranking. In this case, for example, there was
not enough evidence to choose a "winner" confidently among the seed
oils.
What's more, the oils best at lowering LDL were not the most beneficial for triglycerides and HDL cholesterol. However, with the appropriate caveats in mind, Schwingshackl is optimistic about the potential for network meta-analysis to help researchers synthesize disparate clinical studies in the future.
What's more, the oils best at lowering LDL were not the most beneficial for triglycerides and HDL cholesterol. However, with the appropriate caveats in mind, Schwingshackl is optimistic about the potential for network meta-analysis to help researchers synthesize disparate clinical studies in the future.