In defense of the sanctimonious women's studies set || First feminist blog on the internet

So All I Have To Do Is Keep Them Chained Up And Half-Starved?

Lauren passed on this little item from the BBC: Study finds that hungry men prefer larger women.

A study of 61 male university students found those who were hungry were attracted to heavier women than those who were satiated.

The hungry men also paid much less attention to a woman’s body shape and regarded less curvy figures as more attractive.

The abstract of the study, published in the British Journal of Psychology, suggests that the researchers were trying to find out why male preferences for female body weight followed a consistent socio-economic pattern. You’d think general resource allocation had more to do with that than hunger qua hunger. After all, the heavier female ideal occurs in cultures where there is a lot of scarcity, and having a fleshy figure is a sign of prosperity and of having enough resources to feed oneself (as well as enough leisure not to have to work off all the calories one consumes). In cultures like ours, where not only is hunger not so widespread but the kinds of foods available to the poor are those that tend to pack on the pounds, the ideal is one of thinness — of the sort that can be achieved if one has plenty of leisure time to hit the gym and the resources to buy fresh foods.

In other words, the ideal across cultures has more to do with wealth; not only the wealth of the women themselves, but the wealth of their men. There’s a reason for arm candy.

What can be regarded as a normal and acceptable body size is also influenced by what we see, including advertising, and can change. For example, migrants from rural to urban societies show an increasing idealisation of thinner figures.

Dr Viren Swami from University College London and Dr Martin Tovée from Newcastle University believe there are biological factors at work too.

Dr Tovée explained: “Your cognitive state, your drives and your interests are dependent on your underlying physiology, your blood sugar levels and your hormone levels and these depend upon hunger.”

Except that those are transitory states, whereas cultural beauty standards are somewhat more constant. Not that they don’t change, of course — witness the shift in beauty standards from, say, Marilyn Monroe in the 50s to Twiggy in the 60s — but it takes more than a meal to make the difference.

And apparently, they didn’t test the same men both when hungry and when not hungry:

They recruited male university students as they entered or exited a campus dining hall during dinner time.

They asked the men to rate how hungry they were on a scale of one to seven. Using these responses, the researchers selected 30 hungry and 31 satiated men to take part in the study.

The men were then asked to rate the attractiveness of 50 women of varying weights, all within a healthy range, who had been photographed wearing tight grey leotards and leggings.

The hungry men rated more of the heavier women as attractive than the men who were full up.

It also doesn’t sound like they had a terribly wide selection of body types, if the weights of the women pictured were all “within a healthy range” as that is understood by the BMI-obsessed medical community.

Apparently, the researchers think that the findings are small but significant and might, given extrapolation (for instance, over time with many missed meals) could explain cultural shifts.

Maybe. But I think they’re getting closer to it when they discuss obesity and its class-relatedness:

The work could also help further our understanding of obesity, he said.

“A lot of what we are doing is looking at how flexible these representations of body size and shape are and the effect of environment. If you are growing up in an environment where you are seeing heavier body types, is this what you set your norm?

“We know that diet is related to social class and obesity tends to be class related too. So we are looking at how diet then impacts on your ideals and perceptions of what is a good or bad body shape.”

Maybe they ought not to discount the class issues.


15 thoughts on So All I Have To Do Is Keep Them Chained Up And Half-Starved?

  1. This sounds like crap. Particularly because they didn’t test the same men during different hunger states, so what they’re comparing is apples and oranges.

    I’m also very skeptical of any study that relies on self-reporting (in this case self reporting of how hungry the guys were) to select and sort their test subjects.

    And re: the last quotes about relationships between class and obesity, they’re pulling a total bait-and-switch. They say they’re looking at “how diet them impacts on your ideals and perceptions”, but they are not looking at differences in diet. They didn’t look at what these guys ate, they looked at whether these guys classified themselves as hungry or not.

    Pseudoscientific hackery. I hate it when bad science gets published.

  2. this is good science. they are examining whether and how cross-cultural preferences are expressed at the individual level. the work they cite found that

    men who feel either poor or hungry prefer heavier women than men who feel rich or full

    the current work attempts to control the feeling-of-poorness variable in the invidual expresson. the connection to diet is the whole cross-cultural expression in the indvidual thing that they are studying. As a single study, it’s hardly a complete picture. Being just one piece of the puzzle is not a reason to call it bad science.

    self-reporting is most unreliable when studying past events. the men in the study were describing their hunger feelings at the time they were asked.
    the abstract says nothing about the bmi of the women in the pictures, but the healthy range for a woman of 5’4″ is from 110-145.

  3. They really could only find 61 men to participate? Oy. I think any study with participant numbers below the triple-digits at LEAST should be taken with many grains of salt.

  4. Well, smaller sample sizes allow richer data (if done right), while larger sample sizes allow greater generalizability (in theory, if done right). Barring a $50,000 research budget, there’s a trade-off. A small sample doesn’t necessarily mean less reliable data.

    That said, it should of course be “taken with many grains of salt”. All scientific research should be.

    I haven’t read up on the study, so I can’t comment specifically.

  5. Only if you promise flagellation and humiliation as well, zuzu. ;o)

    Also, Knife Ghost, when I believe a given set of facts or statement merits being taken with significantly more than one grain of salt, I remember that the plural of “grain,” at least as it pertains to salt, is “pillar.”

    Just a thought.

  6. Well, smaller sample sizes allow richer data (if done right), while larger sample sizes allow greater generalizability (in theory, if done right).

    Oh interesting. What do you mean by richer data, though? Also, at least the way studies are treated in the press, it seems like the usual desired result is generalizability (i.e. “study finds men do this under these conditions”), but maybe that’s just the press being weird about studies (which they’re kinda big on). I always thought, also, an at least reasonably large sample size was necessary to prevent the data from being unreasonably skewed (I always think of a study that found that 90% of British women opposed one-night stands… but it found this based on 45 women, like, i bet you 50,000 dollars worth of funding I can find you 45 British women who do not oppose one night stands on moral grounds).

    (Note: I just graduated high school and plan to major in statistics in college, so this is all genuine curiosity on a matter that is of particular interest to me. If there’s like, a wikipedia article on “basic laws of studies” by all means send me there 🙂 )

  7. Larcenous, are you saying that when the Bible says Lot’s wife turned into a pillar of salt, she didn’t actually turn into a big tall comun of the shit, but merely a quantity exceeding one grain? Heretic.

  8. cassandra,

    Statistics are awesome. Enjoy your major!

    If you select your sample right a small sample can still produce accurate results; if you select your sample wrong you can get biased results even with an enormous sample size. It is more difficult to attain biased results with a larger sample though by no means impossible to do so. Sample size is not the be-all and end-all of reliability.

  9. what a racist as hell study.

    im sure those ‘hungry’ fuckers at the bottom of the lower socio-economic chain were all ‘coloreds’

    bogus science

    i wait for the study which proves that scientists are morons

  10. what a racist as hell study.

    im sure those ‘hungry’ fuckers at the bottom of the lower socio-economic chain were all ‘coloreds’

    Why are you so sure about that? Uless, of course, you have race based (=racist) reasons to believe ‘coloreds’, as you eloquently put, prefer larger women.

    I’m not saying that isn’t possible, but once again, I urge you to look in to the mirror.

    bogus science

    i wait for the study which proves that scientists are morons

    Oxymoron, as proof is essential in science, not so in various primitive and neo-primitive (=postmodern) superstitions.

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