This study aimed to investigate the associations of adolescents’ self-reported family financial stress, registry-based parental household income and parental education with adolescent anxiety and depression symptoms. Additionally, we adjust these associations for parental anxiety and depression symptoms and examine potential secular changes in these associations.

Family linkage study, using two cross-sectional population-based health studies, the Young-HUNT study and the HUNT study. Registry-based data from Statistics Norway (SSB).

Northern part of Trøndelag County, Norway.

Adolescent (aged 13–19 years) participating in The Young-HUNT3 Survey (2006–2008, n=8199) and The Young-HUNT4 Survey (2017–2019, n=8066) and their parents participating in The HUNT3 Survey (2006–2008, n=50 800) and the HUNT4 Survey (2017–2019, n=56 042).

Adolescent anxiety and depression symptoms were assessed by a short version of the Hopkins Symptom Checklist (HSCL), the five-item HSCL-5. Self-reported family financial stress was measured using a single-item question. Parental anxiety and depression were assessed by the 14-item Hospital Anxiety and Depression Rating Scale (total HADS score). Parental income and parental education were obtained from SSB. We use a multilevel mixed-effects generalised linear model.

Adolescents who perceived their family financial stress as worse than others reported a higher SCL-5 total score compared with those with self-perceived average financial stress. The relative differences ranged from 1.16 (95% CI 1.09 to 1.23) in boys to 1.24 (95% CI 1.17 to 1.31) in girls. In contrast, little or no association was found between parental registry-based income or educational level and adolescents’ mean SCL-5 total scores. Adjusting for parental HADS scores did not alter the estimates. With a few exceptions for girls, there was no evidence for a secular change in these associations.

Self-perceived family financial stress, but not registry-based parental income and education, was associated with elevated anxiety and depression symptom levels in adolescents, and findings were essentially the same in Young-HUNT3 and Young-HUNT4. These findings underscore the importance of incorporating multiple measures of socioeconomic status when investigating socioeconomic inequalities in adolescent mental health.

Self-rated health (SRH) is a well-established predictor of all-cause mortality. However, its predictive value in patients with cancer remains unclear. We aimed to elucidate the relationship between prediagnostic SRH and mortality among patients with cancer using data from the Norwegian Women and Health (NOWAC) Study.

A prospective cohort study.

This study included 26 405 women from the NOWAC cohort who were diagnosed with cancer between 1992 and 2020. Subgroup analyses focused on the most common cancer types among Norwegian women: breast (n=8299), colorectal (n=3653) and lung and bronchial (n=2428) cancers.

Prediagnostic SRH was assessed using a single-item measure with four response alternatives and categorised into ‘very good’, ‘good’ and ‘poor’ SRH. We used flexible parametric survival analysis and competing risk regression models to evaluate the association between SRH and all-cause and cancer-specific mortality after adjusting for age, physical activity, Body Mass Index, smoking, alcohol consumption and education.

Poor prediagnostic SRH was associated with increased all-cause mortality among long-term cancer survivors. For specific cancer sites, the adjusted HRs and 95% CI for poor versus very good SRH were 1.29 (95% CI: 1.06 to 1.58) for breast cancer and 1.50 (95% CI: 1.20 to 1.88) for colorectal cancer. These associations were more pronounced among long-term survivors than short-term survivors. No association was observed between prediagnostic SRH and mortality for patients with lung cancer. For cancer-specific mortality, prediagnostic SRH predicted mortality from all cancers, as well as from colorectal cancer.

Prediagnostic SRH is a significant predictor of mortality in patients with cancer, particularly among long-term survivors. These findings indicate the potential of SRH as a predictive tool for mortality, underscoring the importance of integrating SRH assessments into identifying individuals at higher risk of mortality and highlighting the potential benefits of public health interventions aimed at improving overall health, but further studies are required to assess the effect of such interventions on SRH.