Interaction of sedentary behaviour and educational level in breast cancer risk.

OBJECTIVE: This cross-sectional study aims to analyse the relationship between sedentary behaviour and breast cancer (BC) risk from a social perspective. METHODS: Women aged 45-70 who participated in the Valencia Region Breast Cancer Screening Programme (2018-2019) were included, with a total of 121,359 women analysed, including 506 with cancer and 120,853 without cancer. The response variable was BC (screen-detected) and the main explanatory variable was sedentary behaviour (≤2 / >2-≤3 / >3-≤5 / >5 hours/day, h/d). Nested logistic regression models (M) were estimated: M1: sedentary behaviour adjusted for age and family history of BC; M2: M1 + hormonal/reproductive variables (menopausal status, number of pregnancies, hormone replacement therapy; in addition, months of breastfeeding was added for a subsample of women with one or more live births); M3: M2 + lifestyle variables (body mass index, smoking habits); M4: M3 + socioeconomic variables (educational level, occupation); Final model: M4 + gender variables (childcare responsibilities, family size). Interaction between sedentary behaviour and educational level was analysed in the Final model. Moreover, for the whole sample, postmenopausal women and HR+ BC, the Final model was stratified by educational level. RESULTS: Sedentary behaviour was associated with an increased risk of BC with a nearly statistically significant effect in the Final model (>2-≤3 h/d: OR = 1.22 (0.93-1.61); >3-≤5 h/d: OR = 1.14 (0.86-1.52); >5: OR = 1.19 (0.89-1.60)). For women with a low educational level, sitting more than 2 h/d was associated with an increased risk of BC in the whole sample (>2-≤3 h/d OR = 1.93 (1.19-3.21); in postmenopausal women (>2-≤3 h/d, OR = 2.12 (1.18-2.96), >5h/d OR = 1.75 (1.01-3.11)) and in HR+ BC (>2-≤3h/d, OR = 2.15 (1.22-3.99)). Similar results were observed for women with one or more live births. Conclusions Sitting >2 h/d is associated with BC risk in women with low educational level, especially in postmenopausal women and those with live births.

Impact of different age ranges on the benefits and harms of the breast cancer screening programme by the EU-TOPIA tool.

BACKGROUND: The recommendation for the implementation of mammography screening in women aged 45-49 and 70-74 is conditional with moderate certainty of the evidence. The aim of this study is to simulate the long-term outcomes (2020-50) of using different age range scenarios in the breast cancer screening programme of the Valencia Region (Spain), considering different programme participation rates. METHODS: Three age range scenarios (S) were simulated with the EU-TOPIA tool, considering a biennial screening interval: S1, 45-69 years old (y); S2, 50-69 y and S3, 45-74 y. Simulations were performed for four participation rates: A = current participation (72.7%), B = +5%, C = +10% and D = +20%. Considered benefits: number (N°) of in situ and invasive breast cancers (BC) (screen vs. clinically detected), N° of BC deaths and % BC mortality reduction. Considered harms: N° of false positives (FP) and % overdiagnosis. RESULTS: The results showed that BC mortality decreased in all scenarios, being higher in S3A (32.2%) than S1A (30.6%) and S2A (27.9%). Harms decreased in S2A vs. S1A (N° FP: 236 vs. 423, overdiagnosis: 4.9% vs. 5.0%) but also benefits (BC mortality reduction: 27.9% vs. 30.6%, N° screen-detected invasive BC 15/28 vs. 18/25). In S3A vs. S1A, an increase in benefits was observed (BC mortality reduction: 32.2% vs. 30.6%), N° screen-detected in situ B: 5/2 vs. 4/3), but also in harms (N° FP: 460 vs. 423, overdiagnosis: 5.8% vs. 5.0%). Similar trends were observed with increased participation. CONCLUSIONS: As the age range increases, so does not only the reduction in BC mortality, but also the probability of FP and overdiagnosis.

Interval Cancer in Population-Based Colorectal Screening Programmes: Incidence and Characteristics of Tumours.

The objective of this study is to evaluate interval cancer (IC) in colorectal cancer (CRC) screening, which is CRC diagnosed in an individual after having received a negative faecal occult blood test and before the next invitation to participate in screening. A follow-up study was conducted on a cohort of participants in the first three screening rounds of four colorectal cancer screening programmes in Spain, n = 664,993. A total of 321 ICs and 2120 screen-detected cancers (SCs) were found. The IC and SC rates were calculated for each guaiac (gFOBT) or immunochemical (FIT) test. A Cox regression model was used to estimate the hazard ratios (HR) of IC risk factors. A nested case-control study was carried out to compare IC and SC tumour characteristics. The IC rate was 1.16‱ with the gFOBT and 0.35‱ with the FIT. Men and people aged 60-69 showed an increased probability of IC (HR = 1.81 and HR = 1.95, respectively). There was a decreased probability of IC in individuals who regularly participated in screening, HR = 0.62 (0.47-0.82). IC risk gradually rose as the amount of Hb detected in the FIT increased. IC tumours were in more advanced stages and of a larger size than SC tumours, and they were mostly located in the cecum. These results may play a key role in future strategies for screening programmes, reducing IC incidence.

Time costs of waiting, doctor-shopping and private-public sector imbalance: microdata evidence from Hong Kong.

OBJECTIVE: To quantify the disutility of waiting for a specialist consultation and to examine whether individuals' willingness-to-pay (WTP) to reduce waiting time is associated with doctor-shopping behavior in outpatient clinics of four large, public hospitals in Hong Kong. METHODS: We performed a cross-sectional survey of 6495 outpatients on public sector waiting lists enrolled from July 2000 to October 2001. Main outcome measures were WTP to reduce queue time and odds ratios (ORs) for doctor-shopping according to WTP status. RESULTS: The majority (74.5%) of respondents, excluding those registering "protest zeros", was willing to pay a median of 100HK Dollar (13US Dollar ) to reduce queue time by 2 weeks, which represents 14.6% of the total costs of care for a specialist outpatient visit. Respondents' WTP decreased as their expected waiting period increased. Multivariate regression modeling showed that those who were willing to pay more were also more likely to "doctor-shop" (ORs and 95% confidence intervals for doctor-shopping for the 1st through 4th quartile of WTP values respectively = 1.00; 0.88 (0.63, 1.23); 1.19 (0.57, 2.48); 1.52 (1.05, 2.20); p for linear trend = 0.009), in effect reducing waiting time to see a specialist by seeking and paying for care in the private sector. CONCLUSIONS: Based on this preliminary evidence, we propose the further examination of a new policy of outsourcing some specialist care services to the private sector to improve allocative and technical efficiency.

Waiting time, doctor shopping, and nonattendance at specialist outpatient clinics: case-control study of 6495 individuals in Hong Kong.

OBJECTIVE: Nonattendance is a major health services research and management issue that has received little attention or systematic study in Asia. We examined the independent associations between waiting time, doctor shopping, and nonattendance in specialist outpatient clinics of 4 large public hospitals in Hong Kong. RESEARCH DESIGN: Case-control study. SETTING AND PARTICIPANTS: A total of 6495 attenders and nonattenders enrolled from July 2000 through October 2001. PAIN OUTCOME MEASURES: Odds ratios (ORs) and associated 95% confidence intervals (CI) for nonattendance. RESULTS: Longer waiting times (adjusted OR2nd quartile, 1.67; 95% CI, 1.38-2.03; adjusted OR3rd quartile, 1.90; 95% CI, 1.56-2.30; adjusted OR4th quartile, 2.30; 95% CI, 1.91-2.78) and doctor-shopping behavior (adjusted OR, 2.91; 95% CI, 2.51-3.38) were independent risk factors for nonattendance. These effects were robust after multivariate adjustment and testing for effect modification. They also appeared to persist uniformly across hospitals and specialties. There was no demonstrable relationship between waiting time and doctor shopping. CONCLUSIONS: This is the largest study of nonattendance at outpatient clinics and the first such study carried out in Asia. Targeted strategies should be implemented and evaluated using these results to reduce waiting time, doctor shopping, and ultimately nonattendance.