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BMJ 2003;327:712-717 (27 September), doi:10.1136/bmj.327.7417.712
Debbie A Lawlor, senior lecturer in epidemiology1, Rita Patel, project coordinator1, Shah Ebrahim, professor of epidemiology of ageing1
1 Department of Social Medicine, University of Bristol, Bristol BS8 2PR
Correspondence to: D A Lawlor d.a.lawlor{at}bristol.ac.uk
Design Cross sectional survey, using data from the British women's heart and health study.
Setting General practices in 23 towns in Great Britain.
Participants 4050 women aged 60-79 years.
Main outcome measure Whether women had had falls in the previous 12 months.
Results The prevalence of falling increased with increasing numbers of simultaneously occurring chronic diseases. However, no such relation with falling was found in the fully adjusted data for the number of drugs used. Circulatory disease, chronic obstructive pulmonary disease, depression, and arthritis were all associated with an increased odds of falling. The fully adjusted, population attributable risk of falling associated with having at least one chronic disease was 32.2% (95% confidence interval 19.6% to 42.8%). Only two classes of drugs (hypnotics and anxiolytics, and antidepressants) were independently associated with an increased odds of falling. Each class was associated with an increase of about 50% in the odds of falling, and each had a population attributable risk of < 5%.
Conclusion Chronic diseases and multiple pathology are more important predictors of falling than polypharmacy.
Assessment
In the self completed questionnaire participants were asked whether they had had a fall in the previous 12 months, how many times they had fallen, and whether they had received medical attention for any falls. We defined frequent falling as at least two falls in the previous 12 months.5 We collated details of clinical diagnoses of each of the women's chronic diseases, together with the dates of first diagnosis, from a combination of review of primary care medical records, interviews by a research nurse, and the participants' responses to the questionnaire.2-4 Participants were asked to bring all their current medicines to the clinic visit, and at the research nurse's interview a full drug history was taken. Drugs were coded according to the British National Formulary.6
Statistical analysis
We used multiple logistic regression to assess associations with falls. Because of missing data the multivariable analyses were conducted on the 3742 women (92%) with complete data on all the variables that were included in the final fully adjusted model. We estimated population attributable risks of falling for risk factors from the fully adjusted logistic regression models.7 We used robust standard errors, which take into account the clustering effects in each town, to calculate 95% confidence intervals.
Women who had fallen at least once in the previous 12 months were older than women who had not fallen and were more likely to have chronic diseases, more likely to be taking drugs, and had a higher body mass index (table 1). Postural hypotension and low standing blood pressure were not associated with falling. The women who had fallen had a lower mean haemoglobin concentration, and this inverse association remained even when data were adjusted for social class, body mass index, chronic diseases, and each class of drug used. The fully adjusted odds ratio of any falls for an increase in haemoglobin concentration of one standard deviation was 0.90 (0.81 to 0.99). Alcohol consumption was not related to falling. In the 12 months before the women's baseline examination 55 women (1.28%) had had a fractured hip (15 women) or wrist (44 women). Women who had had a fall in the previous 12 months were much more likely to have had a fracture than the women who hadn't had a fall (table 1).
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Drug use and falls
Just over 70% (2887) of the women were taking at least one drug, and 622 (15.4%) were taking five or more drugs. There was a strong linear association between the number of drugs that women took and whether they had had a fall (see bmj.com). However, the association was not significant when the data were adjusted for chronic diseases and other potential confounding factors. Use of hypnotics or anxiolytics and use of antidepressants were associated with an increased odds of falling, even with adjustment for chronic disease status (including ever having had a diagnosis of depression) and other potential confounding factors (table 2). In the fully adjusted analyses analgesics, cardiovascular system drugs, endocrine system drugs, and respiratory disease drugs were not independently associated with having had a fall (table 2).
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Chronic disease and falls
Nearly three quarters (2961) of the women had at least one chronic disease. There was a marked linear trend of increasing odds of falling with increasing number of chronic diseases (see bmj.com). This association remained even after adjustment for drug use and other potential confounding factors. The crude odds ratio for any fall in the previous 12 months for each additional simultaneously occurring disease was 1.46 (1.36 to 1.56), and the fully adjusted odds ratio was 1.37 (1.25 to 1.49). We found similar linear trends for the association between increasing numbers of simultaneously occurring chronic diseases and frequent falls and treated falls, and these associations remained significant in the fully adjusted models.
Circulatory disease, chronic obstructive pulmonary disease, depression, and arthritis were each associated with a higher odds of falling, even with adjustment for drug use and other potential confounding factors (see bmj.com). The population attributable risk of having had at least one fall in the previous 12 months, estimated from the fully adjusted models, was 6.2% (2.0% to 10.0%) for coronary heart disease, 6.2% (1.6% to 10.5%) for circulatory disease, 8.0% (3.3% to 12.4%) for chronic obstructive pulmonary disease, 9.4% (5.4% to 13.3%) for depression, and 17.4% (10.4% to 23.9%) for arthritis. The fully adjusted odds ratio of having had a fall in the previous 12 months associated with having at least one of the chronic diseases was 1.81 (1.42 to 2.31), and the population attributable risk was 32.2% (19.6% to 42.8%).
Effects of combined multiple pathology and polypharmacy
When number of drugs taken and number of chronic diseases were included in the same regression model they combined multiplicatively. The odds ratio for a fall for each additional chronic disease, adjusted for number of drugs taken, was 1.39 (1.29 to 1.51), and that for each additional drug taken, adjusted for number of chronic diseases, was 1.05 (1.01 to 1.09). There was no strong evidence of a statistical interaction between number of drugs and number of chronic diseases (P = 0.16) and no evidence of statistical interactions between any of the individual chronic diseases and their relevant treatment (P > 0.15 for all diseases).
Limitations of the study
Our response rate (60%) is moderate but consistent with other large contemporary epidemiological surveys.12 As reported previously our respondents were slightly younger than non-respondents and were less likely to have a primary care medical record of stroke or diabetes, although the prevalence of coronary heart disease and cancer did not vary between respondents and non-respondents.2 Because chronic diseases are associated with falling we may have underestimated the prevalence of falls. The associations of chronic diseases and drug use with falling would only be exaggerated if the associations among non-respondents were in the opposite direction to the associations among responders or if they were non-existent, both of which are unlikely.
Our study is cross sectional and may therefore be susceptible to reverse causality. With respect to the effects of antidepressants and hypnotics or anxiolytics, it is possible that having had a fall may lead to anxiety or depression and therefore treatment for these conditions. However, assessing the association between drug use and the prevalence of falling is relevant, because the plausible mechanism by which central nervous system drugs result in falls is related to their contemporary use.13 That there was an association between falls and number of chronic diseases among women whose diagnosis had been made before the year of the fall indicates that these associations are not due to reverse causality.
We could not assess the effect of all the major chronic diseases that affect this age group. In particular we did not collect information on cognitive function. However, that the participants were able to complete a detailed health questionnaire suggested that few if any women had severe dementia. Elderly people may under-report falls.14 Any such misclassification is likely to be non-systematic and would therefore dilute the associations. We used a crude indicator of the severity of falls: whether the participant had had medical attention. Although having received medical attention may indicate a greater severity of fall, it also reflects sociodemographic and personal factors that influence the likelihood of getting medical care after a fall.
Implications
Although the population attributable risk of falling associated with psychotropic drugs was small, these drugs may be an important cause of morbidity in people using them. Trials have shown that gradual withdrawal of psychotropic drugs is feasible among elderly people and is associated with a decreased risk of falling.15
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Chronic diseases may increase the risk of falls through direct effects of the disease and indirect effects, such as reduced physical activity, muscle weakness, and poor balance. Perhaps because observational research has focused more on drug use than chronic diseases, the effect of specific chronic diseases on the risk of falling has not been the main focus of controlled trials of interventions to prevent falls, although the inclusion of exercises specifically aimed at reducing falls as well as at improving cardiovascular fitness in cardiac rehabilitation programmes has been recommended.16 Chronic diseases and multiple pathology, rather than polypharmacy, may be the most important predictors of falling.
This is an abridged version; the full version is on bmj.com Acknowledgments: The British women's heart and health study is co-directed by SE, Peter Whincup, Goya Wannamethee, and DAL. We thank Carol Bedford, Alison Emerton, Nicola Frecknall, Karen Jones, Mark Taylor, and Katherine Wornell for collecting and entering data, all the general practitioners and their staff who supported data collection, and the women who participated in the study.
Contributors: See bmj.com
Funding: The British women's heart and health study is funded by the Department of Health. DAL is funded by a Medical Research Council and Department of Health training fellowship.
Competing interests: None declared.
Ethical approval: Local ethics committees approved the study, and 99.4% of participants gave written informed consent for their medical records to be available.
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