Kirstin Pirie

University of Oxford, Oxford, ENG, United Kingdom

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Publications (10)114.18 Total impact

  • Article: The first generation in which many women began smoking - Authors' reply.
    Kirstin Pirie, Richard Peto, Valerie Beral
    The Lancet 04/2013; 381(9876):1455-6. · 38.28 Impact Factor
  • Article: The 21st century hazards of smoking and benefits of stopping: a prospective study of one million women in the UK.
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    ABSTRACT: BACKGROUND: Women born around 1940 in countries such as the UK and USA were the first generation in which many smoked substantial numbers of cigarettes throughout adult life. Hence, only in the 21st century can we observe directly the full effects of prolonged smoking, and of prolonged cessation, on mortality among women in the UK. METHODS: For this prospective study, 1·3 million UK women were recruited in 1996-2001 and resurveyed postally about 3 and 8 years later. All were followed to Jan 1, 2011, through national mortality records (mean 12 woman-years, SD 2). Participants were asked at entry whether they were current or ex-smokers, and how many cigarettes they currently smoked. Those who were ex-smokers at both entry and the 3-year resurvey and had stopped before the age of 55 years were categorised by the age they had stopped smoking. We used Cox regression models to obtain adjusted relative risks that compared categories of smokers or ex-smokers with otherwise similar never-smokers. FINDINGS: After excluding 0·1 million women with previous disease, 1·2 million women remained, with median birth year 1943 (IQR 1938-46) and age 55 years (IQR 52-60). Overall, 6% (66 489/1 180 652) died, at mean age 65 years (SD 6). At baseline, 20% (232 461) were current smokers, 28% (328 417) were ex-smokers, and 52% (619 774) were never-smokers. For 12-year mortality, those smoking at baseline had a mortality rate ratio of 2·76 (95% CI 2·71-2·81) compared with never-smokers, even though 44% (37 240/85 256) of the baseline smokers who responded to the 8-year resurvey had by then stopped smoking. Mortality was tripled, largely irrespective of age, in those still smoking at the 3-year resurvey (rate ratio 2·97, 2·88-3·07). Even for women smoking fewer than ten cigarettes per day at baseline, 12-year mortality was doubled (rate ratio 1·98, 1·91-2·04). Of the 30 most common causes of death, 23 were increased significantly in smokers; for lung cancer, the rate ratio was 21·4 (19·7-23·2). The excess mortality among smokers (in comparison with never-smokers) was mainly from diseases that, like lung cancer, can be caused by smoking. Among ex-smokers who had stopped permanently at ages 25-34 years or at ages 35-44 years, the respective relative risks were 1·05 (95% CI 1·00-1·11) and 1·20 (1·14-1·26) for all-cause mortality and 1·84 (1·45-2·34) and 3·34 (2·76-4·03) for lung cancer mortality. Thus, although some excess mortality remains among these long-term ex-smokers, it is only 3% and 10% of the excess mortality among continuing smokers. If combined with 2010 UK national death rates, tripled mortality rates among smokers indicate 53% of smokers and 22% of never-smokers dying before age 80 years, and an 11-year lifespan difference. INTERPRETATION: Among UK women, two-thirds of all deaths of smokers in their 50s, 60s, and 70s are caused by smoking; smokers lose at least 10 years of lifespan. Although the hazards of smoking until age 40 years and then stopping are substantial, the hazards of continuing are ten times greater. Stopping before age 40 years (and preferably well before age 40 years) avoids more than 90% of the excess mortality caused by continuing smoking; stopping before age 30 years avoids more than 97% of it. FUNDING: Cancer Research UK, Medical Research Council.
    The Lancet 10/2012; · 38.28 Impact Factor
  • Article: Comparison of the effects of genetic and environmental risk factors on in situ and invasive ductal breast cancer.
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    ABSTRACT: Little is known about the etiology of in situ ductal breast cancer (DCIS) or what influences its possible progression to invasive ductal disease. Comparison of risk factors for DCIS and invasive ductal cancer may throw some light on these issues. We estimated relative risks for DCIS and invasive ductal breast cancer according to 12 genetic and eight environmental risk factors among 1.1 million postmenopausal women in a large prospective UK study. There was no strong evidence of a different association with DCIS versus invasive ductal cancer for any of the 12 susceptibility loci examined. We also found similar associations of age at menarche, age at first birth, parity, age at menopause, family history of breast cancer and use of hormone replacement therapy with DCIS and invasive ductal cancer. Only body mass index (BMI) showed a clear difference in association in that it was positively associated with the risk of invasive ductal cancer but not DCIS (RRs per 5 kg/m(2) = 1.20 and 1.01, respectively; p-value for heterogeneity = 0.002). The very similar risk factor profiles observed here for DCIS and invasive ductal cancer suggest that DCIS is a precursor of invasive ductal cancer and most risk factors affect the risk of invasive ductal cancer primarily through their effects on the risk of DCIS. The lack of association between BMI and DCIS suggests a greater influence of BMI on disease progression.
    International Journal of Cancer 09/2011; 131(4):930-7. · 5.44 Impact Factor
  • Article: Body mass index and physical activity in relation to the incidence of hip fracture in postmenopausal women.
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    ABSTRACT: Hip fracture risk is known to increase with physical inactivity and decrease with obesity, but there is little information on their combined effects. We report on the separate and combined effects of body mass index (BMI) and physical activity on hospital admissions for hip fracture among postmenopausal women in a large prospective UK study. Baseline information on body size, physical activity, and other relevant factors was collected in 1996-2001, and participants were followed for incident hip fractures by record linkage to National Health Service (NHS) hospital admission data. Cox regression was used to calculate adjusted relative risks of hip fracture. Among 925,345 postmenopausal women followed for an average of 6.2 years, 2582 were admitted to hospital with an incident hip fracture. Hip fracture risk increased with decreasing BMI: Compared with obese women (BMI of 30+ kg/m(2) ), relative risks were 1.71 [95% confidence interval (CI) 1.47-1.97)] for BMI of 25.0 to 29.9 kg/m(2) and 2.55 (95% CI 2.22-2.94) for BMI of 20.0 to 24.9 kg/m(2). The increase in fracture risk per unit decrease in BMI was significantly greater among lean women than among overweight women (p < .001). For women in every category of BMI, physical inactivity was associated with an increased risk of hip fracture. There was no significant interaction between the relative effects of BMI and physical activity. For women who reported that they took any exercise versus no exercise, the adjusted relative risk of hip fracture was 0.68 (95% CI 0.62-0.75), with similar results for strenuous exercise. In this large cohort of postmenopausal women, BMI and physical activity had independent effects on hip fracture risk.
    Journal of bone and mineral research: the official journal of the American Society for Bone and Mineral Research 06/2011; 26(6):1330-8. · 6.04 Impact Factor
  • Article: Hormone replacement therapy and incidence of central nervous system tumours in the Million Women Study.
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    ABSTRACT: We examined the relation between the use of hormone replacement therapy (HRT) and the incidence of central nervous system (CNS) tumours in a large prospective study of 1,147,894 postmenopausal women. Women were aged 56.6 years on average at entry, and HRT use was recorded at recruitment and updated, where possible, about 3 years later. During a mean follow-up of 5.3 years per woman, 1,266 CNS tumours were diagnosed, including 557 gliomas, 311 meningiomas and 117 acoustic neuromas. Compared with never users of HRT, the relative risks (RRs) for all incident CNS tumours, gliomas, meningiomas and acoustic neuromas in current users of HRT were 1.20 (95% CI: 1.05-1.36), 1.09 (95% CI: 0.89-1.32), 1.34 (95% CI: 1.03-1.75) and 1.58 (95% CI: 1.02-2.45), respectively, and there was no significant difference in the relative risks by tumour type (heterogeneity p = 0.2). In past users of HRT the relative risk was 1.07 (95% CI: 0.93-1.24) for all CNS tumours. Among current users of HRT, there was significant heterogeneity by the type of HRT with the users of oestrogen-only HRT at higher risk of all CNS tumours than users of oestrogen-progestagen HRT (RR = 1.42, 95% CI: 1.21-1.67 versus RR = 0.97, 95% CI: 0.82-1.16) (heterogeneity p < 0.001). Among current users of oestrogen-only and oestrogen-progestagen HRT, there was no significant heterogeneity by duration of use, hormonal constituent or mode of administration of HRT.
    International Journal of Cancer 10/2010; 127(7):1692-8. · 5.44 Impact Factor
  • Article: Reproductive history and pancreatic cancer incidence and mortality in a cohort of postmenopausal women.
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    ABSTRACT: There is inconsistent evidence about the effect of reproductive history on women's risk of pancreatic cancer. In the Million Women Study, a prospective cohort of middle-aged women in the United Kingdom, we examined associations between reproductive history and pancreatic cancer incidence and mortality, controlling for age, socioeconomic status, geographic region, body mass index, smoking, and history of diabetes. During 7.1 million person-years of follow-up in 995,192 postmenopausal women, there were 1,182 incident pancreatic cancers. Pancreatic cancer incidence and mortality did not vary significantly with age at menarche, number of children, age at first birth, breast-feeding, type of menopause, age at menopause, or time since menopause. Any effect of reproductive history and pancreatic cancer risk in women is likely to be weak, if it exists at all.
    Cancer Epidemiology Biomarkers &amp Prevention 06/2009; 18(5):1457-60. · 4.12 Impact Factor
  • Article: Diabetes and modifiable risk factors for cardiovascular disease: the prospective Million Women Study.
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    ABSTRACT: To compare the effect of potentially modifiable lifestyle factors on the incidence of vascular disease in women with and without diabetes. In 1996-2001 over one million middle-aged women in the UK joined a prospective study, providing medical history, lifestyle and socio-demographic information. All participants were followed for hospital admissions and deaths using electronic record-linkage. Adjusted relative risks (RRs) and incidence rates were calculated to compare the incidence of coronary heart disease and stroke in women with and without diabetes and by lifestyle factors. At recruitment 25,915 women (2.1% of 1,242,338) reported current treatment for diabetes. During a mean follow-up of 6.1 years per woman, 21,928 had a first hospital admission or death from coronary heart disease (RR for women with versus without diabetes = 3.30, 95% CI 3.14-3.47) and 7,087 had a first stroke (RR = 2.47, 95% CI 2.24-2.74). Adjusted incidence rates of these conditions in women with diabetes increased with duration of diabetes, obesity, inactivity and smoking. The 5-year adjusted incidence rates for cardiovascular disease were 4.6 (95% CI 4.4-4.9) per 100 women aged 50-69 in non-smokers with diabetes, 5.9 (95% CI 4.6-7.6) in smokers with diabetes not using insulin and 11.0 (95% CI 8.3-14.7) in smokers with diabetes using insulin. Non-smoking women with diabetes who were not overweight or inactive still had threefold increased rate for coronary disease or stroke compared with women without diabetes. Of the modifiable factors examined in middle aged women with diabetes, smoking causes the greatest increase in cardiovascular disease, especially in those with insulin treated diabetes.
    European Journal of Epidemiology 12/2008; 23(12):793-9. · 4.71 Impact Factor
  • Article: Family history and breast cancer tumour characteristics in screened women.
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    ABSTRACT: Women with a family history of breast cancer have an increased risk of the disease. However, since they tend to experience greater surveillance for the disease, their breast cancers may be detected at an earlier stage, thus making it difficult to assess reliably whether tumour characteristics vary by family history. Information on 9,731 Million Women Study participants with screen-detected breast cancer, diagnosed in 1996-2003, and 37,983 matched controls, who also attended routine screening but were not diagnosed with breast cancer, was used to estimate adjusted relative risks (RRs) of screen-detected breast cancer in women with a family history of the disease. Women with a family history of breast cancer had an increased risk of screen-detected breast cancer (RR 1.57; 95% CI:1.47-1.68) compared with those without such a family history. The RRs were 1.58 (1.46-1.71) and 1.55 (1.34-1.80) for invasive and in situ breast cancer; 1.63 (1.49-1.79) and 1.55 (1.32-1.83) for node-negative and node-positive disease; and 1.56 (1.42-1.70), 1.75 (1.39-2.21) and 1.71 (1.28-2.29) for ductal, lobular and tubular cancers. There was no significant difference in the RR of screen-detected breast cancer associated with a family history of the disease according to invasiveness, size, nodal status, malignancy grade or morphological type of the breast cancer.
    International Journal of Cancer 10/2008; 123(12):2950-4. · 5.44 Impact Factor
  • Article: Passive smoking and breast cancer in never smokers: prospective study and meta-analysis.
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    ABSTRACT: Active smoking has little or no effect on women's risk of developing breast cancer, but it has been suggested that passive exposure to tobacco smoke may increase this risk among women who have never smoked. To evaluate the possible relationship between passive smoking and breast cancer risk within the Million Women Study, a large UK prospective study, and to report a meta-analysis of published results. In the large prospective study, 224 917 never smokers who completed a questionnaire that asked women whether their parents had smoked and if their current partner smoked were followed up for an average of 3.5 years for incident breast cancer. In the meta-analysis, studies that had recorded exposure information prospectively and retrospectively were considered separately. Main outcome measures Adjusted relative risk of breast cancer in never smokers who were passively exposed to tobacco smoke at various ages compared with never smokers with no such exposure. In the prospective study, 2518 incident invasive breast cancers occurred during follow-up and the adjusted relative risk of breast cancer for passive exposure either as a child or as an adult vs neither exposure was 0.98 (95% CI 0.88-1.09); results were similarly null for childhood exposure (0.98, 0.88-1.08) and adult exposure (1.02, 0.89-1.16) separately. We identified seven other studies with prospectively recorded exposure data; when results of all eight studies were combined (including 5743 never smokers with breast cancer), the aggregate relative risk was 0.99 (0.93-1.05) for any passive exposure. The aggregate findings differed substantially (P = 0.0002) between these 8 studies and 17 other studies with retrospectively recorded information (including 5696 never smokers with breast cancer). Aggregate results from studies with prospectively reported information show that the incidence of breast cancer is similar in women who did and did not report passive exposure to tobacco smoke either as a child or as an adult. The aggregate findings from the retrospective studies may have been distorted by some women becoming more likely to report past exposures because they knew that they had breast cancer.
    International Journal of Epidemiology 07/2008; 37(5):1069-79. · 6.41 Impact Factor
  • Article: Cancer incidence and mortality in relation to body mass index in the Million Women Study: cohort study.
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    ABSTRACT: To examine the relation between body mass index (kg/m2) and cancer incidence and mortality. Prospective cohort study. 1.2 million UK women recruited into the Million Women Study, aged 50-64 during 1996-2001, and followed up, on average, for 5.4 years for cancer incidence and 7.0 years for cancer mortality. Relative risks of incidence and mortality for all cancers, and for 17 specific types of cancer, according to body mass index, adjusted for age, geographical region, socioeconomic status, age at first birth, parity, smoking status, alcohol intake, physical activity, years since menopause, and use of hormone replacement therapy. 45,037 incident cancers and 17 203 deaths from cancer occurred over the follow-up period. Increasing body mass index was associated with an increased incidence of endometrial cancer (trend in relative risk per 10 units=2.89, 95% confidence interval 2.62 to 3.18), adenocarcinoma of the oesophagus (2.38, 1.59 to 3.56), kidney cancer (1.53, 1.27 to 1.84), leukaemia (1.50, 1.23 to 1.83), multiple myeloma (1.31, 1.04 to 1.65), pancreatic cancer (1.24, 1.03 to 1.48), non-Hodgkin's lymphoma (1.17, 1.03 to 1.34), ovarian cancer (1.14, 1.03 to 1.27), all cancers combined (1.12, 1.09 to 1.14), breast cancer in postmenopausal women (1.40, 1.31 to 1.49) and colorectal cancer in premenopausal women (1.61, 1.05 to 2.48). In general, the relation between body mass index and mortality was similar to that for incidence. For colorectal cancer, malignant melanoma, breast cancer, and endometrial cancer, the effect of body mass index on risk differed significantly according to menopausal status. Increasing body mass index is associated with a significant increase in the risk of cancer for 10 out of 17 specific types examined. Among postmenopausal women in the UK, 5% of all cancers (about 6000 annually) are attributable to being overweight or obese. For endometrial cancer and adenocarcinoma of the oesophagus, body mass index represents a major modifiable risk factor; about half of all cases in postmenopausal women are attributable to overweight or obesity.
    BMJ (Clinical research ed.). 01/2008; 335(7630):1134.