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National health surveys provide estimates of behaviours in the population—such as levels of alcohol consumption which inform health policies, but validity depends on their representativeness of the general population.
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This method is illustrated to provide more accurate estimates of behaviour and capacity than the shear-friction based approach implemented by the ACI 318-11, the strut-and-tie provisions in different codes (American, Australian, Canadian, Eurocode and New Zealand).
This may result in inaccurate estimates of behaviour, subsequently resulting in mismatched feedback and advice [ 8, 9].
However, the complex interactions among prognostic factors may lead to a poor estimate of behaviour, causing unbalanced groups at baseline, which may introduce accidental bias.
Only a handful of studies have directly compared estimates of health behaviours derived from mobile-phone and landline samples.
Many European countries including Ireland lack high quality, on-going, population based estimates of maternal behaviours and experiences during pregnancy.
Increasingly, there are concerns that further bias is being introduced into survey estimates of these behaviours by the exclusion of otherwise eligible respondents who are not contactable because they do not have access to a landline telephone.
However, the differences between the landline and dual-frame samples were relatively small (and non-significant) for measures relating to alcohol and cannabis suggesting that, with appropriate weighting, landline survey methods can provide relatively robust estimates of these behaviours.
To further explore the impact of interviewing methods on estimates of risky behaviour prevalence, prevalence estimates for each of the behaviours examined above were calculated separately for the landline, mobile and combined samples.
Our primary goal was not to provide estimates of sexual behaviour of obese people but to compare sexual health behaviours and risks between obese and normal weight individuals on the one hand, and between overweight and normal weight individuals on the other hand.
As unbiased estimates of risk behaviour, especially hand hygiene, can be difficult to obtain, microbiological methods could contribute to the study of hygiene behaviour [ 10].
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