SummaryBackgroundEpidemiological studies have shown that taller people are at increased risk of cancer, but it is unclear if height-associated risks vary by cancer site, or by other factors such as smoking and socioeconomic status. Our aim was to investigate these associations in a large UK prospective cohort with sufficient information on incident cancer to allow direct comparison of height-associated risk across cancer sites and in relation to major potential confounding and modifying factors.MethodsInformation on height and other factors relevant for cancer was obtained in 1996–2001 for middle-aged women without previous cancer who were followed up for cancer incidence. We used Cox regression models to calculate adjusted relative risks (RRs) per 10 cm increase in measured height for total incident cancer and for 17 specific cancer sites, taking attained age as the underlying time variable. We also did a meta-analysis of published results from prospective studies of total cancer risk in relation to height.Findings1 297 124 women included in our analysis were followed up for a total of 11·7 million person-years (median 9·4 years per woman, IQR 8·4–10·2), during which time 97 376 incident cancers occurred. The RR for total cancer was of 1·16 (95% CI 1·14–1·17; p<0·0001) for every 10 cm increase in height. Risk increased for 15 of the 17 cancer sites we assessed, and was statistically significant for ten sites: colon (RR per 10 cm increase in height 1·25, 95% CI 1·19–1·30), rectum (1·14, 1·07–1·22), malignant melanoma (1·32, 1·24–1·40), breast (1·17, 1·15–1·19), endometrium (1·19, 1·13–1·24), ovary (1·17, 1·11–1·23), kidney (1·29, 1·19–1·41), CNS (1·20, 1·12–1·29), non-Hodgkin lymphoma (1·21, 1·14–1·29), and leukaemia (1·26, 1·15–1·38). The increase in total cancer RR per 10 cm increase in height did not vary significantly by socioeconomic status or by ten other personal characteristics we assessed, but was significantly lower in current than in never smokers (p<0·0001). In current smokers, smoking-related cancers were not as strongly related to height as were other cancers (RR per 10 cm increase in height 1·05, 95% CI 1·01–1·09, and 1·17, 1·13–1·22, respectively; p=0·0004). In a meta-analysis of our study and ten other prospective studies, height-associated RRs for total cancer showed little variation across Europe, North America, Australasia, and Asia.InterpretationCancer incidence increases with increasing adult height for most cancer sites. The relation between height and total cancer RR is similar in different populations.FundingCancer Research UK and the UK Medical Research Council.

Background— There are limited population-based national data on prognosis in survivors of acute myocardial infarction (AMI), particularly on long-term survival and the risk of recurrence. Methods and Results— Record linkage of hospital and mortality data identified 387 452 individuals in England who were admitted to hospital with a main diagnosis of AMI between 2004 and 2010 and who survived for at least 30 days. Seven years after an AMI, the risk of death from any cause in survivors of first or recurrent AMI was, respectively, 2 and 3 times higher than that in the English general population of equivalent age. For all survivors of a first AMI, the risk of a second AMI was highest during the first year and the cumulative risk increased more gradually thereafter. For men, 1- and 7-year cumulative risks were 5.6% (95% confidence interval [CI], 5.5–5.7) and 13.9% (95% CI, 13.7–14.1); for women, they were 7.2% (95% CI, 7.1–7.4) and 16.2% (95% CI, 16.0–16.5). Older age, higher deprivation, no revascularization procedures, and presence of comorbidities were associated with higher recurrence risk. Conclusions— Survivors of both first and recurrent AMI remained at a significantly higher risk of death compared with the general population for at least 7 years after the event. For survivors of first AMI, the influence of predisposing factors for second AMI lessened with time after the initial event. The results reinforce the importance of acute clinical care and secondary prevention in improving long-term prognosis of hospitalized AMI patients.

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Background Regular physical activity improves overall health, and has the capacity to reduce risk of chronic diseases and death. However, better understanding of the relationship between multiple lifestyle risk behaviours and disease outcomes is pertinent for prioritising public health messaging. The aim of this systematic review is to examine the association between physical inactivity in combination with additional lifestyle risk behaviours (smoking, alcohol, diet, or sedentary behaviour) for cardiovascular disease, cancer, and all-cause mortality. Methods We searched Ovid Medline, EMBASE, and the Cochrane Register from 1 January 2010 to 12 December 2017, for longitudinal observational studies of adults (18+ years) in the general population with a publication date of 2010 onwards and no language restriction. Main exposure variables had to include a physical activity measure plus at least one other lifestyle risk factor. In total, 25,639 studies were identified. Titles, abstracts and full-text articles of potentially relevant papers were screened for eligibility. Data was extracted and quality assessment was completed using a modified Newcastle-Ottawa Scale (NOS). Results Across the 25 eligible studies, those participants who reported being physically active combined with achieving other health behaviour goals compared to those who were categorised as physically inactive and did not achieve other positive lifestyle goals, were at least half as likely to experience an incident cardiovascular disease (CVD) event, die from CVD, or die from any cause. These findings were consistent across participant age, sex, and study length of follow-up, and even after excluding lower quality studies. We also observed a similar trend among the few studies which were restricted to cancer outcomes. Most studies did not consider epidemiological challenges that may bias findings, such as residual confounding, reverse causality by pre-existing disease, and measurement error from self-report data. Conclusions High levels of physical activity in combination with other positive lifestyle choices is associated with better health outcomes. Applying new approaches to studying the complex relationships between multiple behavioural risk factors, including physical activity, should be a priority. Electronic supplementary material The online version of this article (10.1186/s12889-019-7030-8) contains supplementary material, which is available to authorized users.