Although behavioral mechanisms in the association among depression, anxiety, and cancer are plausible, few studies have empirically studied mediation by health behaviors. We aimed to examine the mediating role of several health behaviors in the associations among depression, anxiety, and the incidence of various cancer types (overall, breast, prostate, lung, colorectal, smoking-related, and alcohol-related cancers).

Two-stage individual participant data meta-analyses were performed based on 18 cohorts within the Psychosocial Factors and Cancer Incidence consortium that had a measure of depression or anxiety (N = 319 613, cancer incidence = 25 803). Health behaviors included smoking, physical inactivity, alcohol use, body mass index (BMI), sedentary behavior, and sleep duration and quality. In stage one, path-specific regression estimates were obtained in each cohort. In stage two, cohort-specific estimates were pooled using random-effects multivariate meta-analysis, and natural indirect effects (i.e. mediating effects) were calculated as hazard ratios (HRs).

Smoking (HRs range 1.04–1.10) and physical inactivity (HRs range 1.01–1.02) significantly mediated the associations among depression, anxiety, and lung cancer. Smoking was also a mediator for smoking-related cancers (HRs range 1.03–1.06). There was mediation by health behaviors, especially smoking, physical inactivity, alcohol use, and a higher BMI, in the associations among depression, anxiety, and overall cancer or other types of cancer, but effects were small (HRs generally below 1.01).

Smoking constitutes a mediating pathway linking depression and anxiety to lung cancer and smoking-related cancers. Our findings underline the importance of smoking cessation interventions for persons with depression or anxiety.

This paper describes findings from a study that evaluated the implementation and impact of case management for long-term conditions (CMLTC) in 10 primary care trusts (PCTs).

Patients who have long-term conditions and complex health and social needs may require case management to deliver and coordinate their care from a range of agencies.

A cross-sectional postal survey of managers with lead responsibility for CMLTC in each PCT is adopted to describe the implementation of services. A retrospective cohort analysis of longitudinal routinely collected admission data for patients enrolled within the CMLTC service (nine months before and nine months after the entry; n = 867) is used to measure their impact.

The organisation of case management varied between PCTs in some aspects despite a high level of coordination across the geographical area. Mean emergency admissions and associated length of stay (LOS) for patients reduced significantly in the nine months after the service entry. There were a number of fairly robust positive and negative influences on these outcome measures in the regression analysis. Most patients with a history of emergency admissions experienced a marked improvement over time. However, most of those without any or with few admissions experienced an increase in admissions and corresponding LOS. Furthermore, a proportion of frequent service users with particular diagnoses also experienced an increase or remained at a high level. A very modest effect was shown with regard to the features of case management arrangements. For each day spent in hospital before service entry, patients are predicted to experience a reduction of nearly one day after. The main contributor explaining increases in LOS for emergency admissions was the number of primary and secondary diagnoses. Each added diagnosis is associated with a 2.4-day increase in LOS, everything else being equal.