Predicting long-term sickness absence among retail workers after four days of sick-listing

Objective This study tested and validated an existing tool for its ability to predict the risk of long-term (ie, ≥6 weeks) sickness absence (LTSA) after four days of sick-listing. Methods A 9-item tool is completed online on the fourth day of sick-listing. The tool was tested in a sample (N=13 597) of food retail workers who reported sick between March and May 2017. It was validated in a new sample (N=104 698) of workers (83% retail) who reported sick between January 2020 and April 2021. LTSA risk predictions were calibrated with the Hosmer-Lemeshow (H-L) test; non-significant H-L P-values indicated adequate calibration. Discrimination between workers with and without LTSA was investigated with the area (AUC) under the receiver operating characteristic (ROC) curve. Results The data of 2203 (16%) workers in the test sample and 14 226 (13%) workers in the validation sample was available for analysis. In the test sample, the tool together with age and sex predicted LTSA (H-L test P=0.59) and discriminated between workers with and without LTSA [AUC 0.85, 95% confidence interval (CI) 0.83–0.87]. In the validation sample, LTSA risk predictions were adequate (H-L test P=0.13) and discrimination was excellent (AUC 0.91, 95% CI 0.90–0.92). The ROC curve had an optimal cut-off at a predicted 36% LTSA risk, with sensitivity 0.85 and specificity 0.83. Conclusion The existing 9-item tool can be used to invite sick-listed retail workers with a ≥36% LTSA risk for expedited consultations. Further studies are needed to determine LTSA cut-off risks for other economic sectors

Changes in supportive care needs over time from diagnosis up to two years after treatment in head and neck cancer patients:A prospective cohort study

Objectives: To investigate changes in supportive care needs (SCNs) over time from diagnosis up to 2 years after treatment among head and neck cancer (HNC) patients, in relation to demographic, personal, clinical, psychological, physical, social, lifestyle, and cancer-related quality of life factors.Materials and methods: Data of the longitudinal NETherlands QUality of Life and Biomedical Cohort study (NET-QUBIC) was used. SCNs were measured using the Supportive Care Needs Survey (SCNS-SF34) and HNC-specific module (SCNS–HNC) before treatment, three, six, 12 and 24 months after treatment. Linear mixed model analyses were used to study SCNs on the physical &amp; daily living (PDL), psychological (PSY), sexuality (SEX), health system, information and patient support (HSIPS), HNC-functioning (HNC-Function), and lifestyle (HNC-Lifestyle) domain, in relation to demographic, personal, clinical, psychological, physical, social, lifestyle, and cancer-related symptoms as measured at baseline.Results: In total, 563 patients were included. SCNs changed significantly over time. At baseline, 65% had ≥1 moderate/high SCN, versus 42.8% at 24 months. Changes in PDL needs were associated with gender, tumor location, smoking, fear of cancer recurrence, oral pain, and appetite loss, changes in PSY with tumor location, fear of recurrence, social support, emotional functioning, physical functioning, coughing, and use of painkillers, changes in SEX with treatment, changes in HSIPS with muscle strength, changes in HNC-Function with tumor stage, location, social support, physical functioning, fatigue, nausea and vomiting, and speech problems, and changes in HNC-Lifestyle with smoking and alcohol use.Conclusion: SCNs diminish over time, but remain prevalent in HNC patients.</p

Risk factors for advanced colorectal neoplasia and colorectal cancer detected at surveillance:a nationwide study in the modern era

Aim: Recommendations for surveillance after colonoscopy are based on risk factors for metachronous advanced colorectal neoplasia (AN) and colorectal cancer (CRC). The value of these risk factors remains unclear in populations enriched by individuals with a positive faecal immunochemical test and were investigated in a modern setting. Methods and Results: This population-based cohort study included all individuals in the Netherlands of ≥55 years old with a first adenoma diagnosis in 2015. A total of 22,471 patients were included. Data were retrieved from the Dutch Nationwide Pathology Databank (Palga). Primary outcomes were metachronous AN and CRC. Patient and polyp characteristics were evaluated by multivariable Cox regression analyses. During follow-up, 2416 (10.8%) patients were diagnosed with AN, of which 557 (2.5% from the total population) were CRC. Adenomas with high-grade dysplasia (hazard ratio [HR] 1.60, 95% confidence interval [CI] 1.40–1.83), villous histology (HR 1.91, 95% CI 1.59–2.28), size ≥10 mm (HR 1.12, 95% CI 1.02–1.23), proximal location (HR 1.12, 95% CI 1.02–1.23), two or more adenomas (HR 1.28, 95% CI 1.16–1.41), and serrated polyps ≥10 mm (HR 1.67, 95% CI 1.42–1.97) were independent risk factors for metachronous AN. In contrast, only adenomas with high-grade dysplasia (HR 2.49, 95% CI 1.92–3.24) were an independent risk factor for metachronous CRC. Conclusions: Risk factors for metachronous AN and CRC were identified for populations with access to a faecal immunochemical test (FIT)-based screening programme. If only risk factors for metachronous CRC are considered, a reduction in criteria for surveillance seems reasonable.</p

Mental healthcare utilization among head and neck cancer patients:A longitudinal cohort study

Objective: To investigate utilization of mental healthcare among head and neck cancer (HNC) patients from diagnosis to 2 years after treatment, in relation to psychological symptoms, mental disorders, need for mental healthcare, and sociodemographic, clinical and personal factors. Methods: Netherlands Quality of life and Biomedical Cohort study data as measured before treatment, at 3 and 6 months, and at 1 and 2 years after treatment was used (n = 610). Data on mental healthcare utilization (iMCQ), psychological symptoms (Hospital Anxiety and Depression Scale, Cancer Worry Scale), mental disorders (CIDI interview), need for mental healthcare (Supportive Care Needs Survey Short-Form 34, either as continuous outcome indicating the level of need or dichotomized into unmet need (yes/no)) and several sociodemographic, clinical and personal factors were collected. Factors associated with mental healthcare utilization were investigated using generalized estimating equations (p &lt; 0.05). Results: Of all HNC patients, 5%–9% used mental healthcare per timepoint. This was 4%–14% in patients with mild-severe psychological symptoms, 4%–17% in patients with severe psychological symptoms, 15%–35% in patients with a mental disorder and 5%–16% in patients with an unmet need for mental healthcare. Among all patients, higher symptoms of anxiety, a higher need for mental healthcare, lower age, higher disease stage, lower self-efficacy and higher social support seeking were significantly associated with mental healthcare utilization. Conclusion: Mental health care utilization among HNC patients is limited, and is related to psychological symptoms, need for mental healthcare, and sociodemographic, clinical and personal factors.</p

Kidney function measures and cardiovascular outcomes in people with diabetes: the Hoorn Diabetes Care System cohort

Aims/hypothesis: Both manifestations of kidney disease in diabetes, reduced eGFR (ml/min per 1.73 m2) and increased urinary albumin/creatinine ratio (UACR, mg/mmol), may increase the risk of specific CVD subtypes in adults with diabetes. Methods: We assessed the prospective association between annually recorded measures of eGFR and UACR and the occurrence of myocardial infarction (MI), CHD, stroke, heart failure (HF) and cardiovascular mortality in 13,657 individuals with diabetes (53.6% male, age 62.3±12.1 years) from the Hoorn Diabetes Care System cohort, using data obtained between 1998 and 2018. Multivariate time-dependent Cox regression models adjusted for cardiovascular risk factors were used to estimate HRs and 95% CI. Associations of eGFR were adjusted for UACR values and vice versa. Effect modification by sex was investigated for all associations. Results: After a mean follow-up period of 7 years, event rates per 1000 person-years were 3.08 for MI, 3.72 for CHD, 1.12 for HF, 0.84 for stroke and 6.25 for cardiovascular mortality. Mildly reduced eGFR (60–90 ml/min per 1.73 m2) and moderately to severely reduced eGFR (90 ml/min per 1.73 m2). Mildly reduced eGFR was associated with a higher risk of stroke (HR 2.53; 95% CI 1.27, 5.03). Moderately increased UACR (3–30 mg/mmol) and severely increased UACR (>30 mg/mmol) were prospectively associated with a higher cardiovascular mortality risk in men and women (HR 1.87; 95% CI 1.41, 2.47 and HR 2.78; 95% CI 1.78, 4.34) compared with normal UACR (30 mg/mmol, categories were combined into UACR 3.0 mg/mmol in the stratified analysis. Women but not men with UACR >3.0 mg/mmol had a significantly higher risk of HF compared with normal UACR (HR 2.79; 95% CI 1.47, 5.28). Conclusions/interpretation: This study showed differential and independent prospective associations between manifestations of early kidney damage in diabetes and several CVD subtypes, suggesting that regular monitoring of both kidney function measures may help to identify individuals at higher risk of specific cardiovascular events. Graphical abstract: [Figure not available: see fulltext.]

Changes in Sexuality and Sexual Dysfunction over Time in the First Two Years after Treatment of Head and Neck Cancer

The aim of this study was to investigate changes in sexuality and sexual dysfunction in head and neck cancer (HNC) patients in the first two years after treatment, in relation to the type of treatment. Data were used of 588 HNC patients participating in the prospective NETherlands Quality of life and Biomedical Cohort Study (NET-QUBIC) from diagnosis to 3, 6, 12 and 24 months after treatment. Primary outcome measures were the International Index of Erectile Function (IIEF) and the Female Sexual Function Index (FSFI). The total scores of the IIEF and FSFI were dichotomized into sexual (dys)function. In men, type of treatment was significantly associated with change in erectile function, orgasm, satisfaction with intercourse, and overall satisfaction. In women, type of treatment was significantly associated with change in desire, arousal, and orgasm. There were significant differences between treatment groups in change in dysfunctional sexuality. A deterioration in sexuality and sexual dysfunction from baseline to 3 months after treatment was observed especially in patients treated with chemoradiation. Changes in sexuality and sexual dysfunction in HNC patients were related to treatment, with an acute negative effect of chemoradiation. This effect on the various domains of sexuality seems to differ between men and women.</p

Changes in supportive care needs over time from diagnosis up to two years after treatment in head and neck cancer patients: A prospective cohort study

Objectives: To investigate changes in supportive care needs (SCNs) over time from diagnosis up to 2 years after treatment among head and neck cancer (HNC) patients, in relation to demographic, personal, clinical, psychological, physical, social, lifestyle, and cancer-related quality of life factors. Materials and methods: Data of the longitudinal NETherlands QUality of Life and Biomedical Cohort study (NET-QUBIC) was used. SCNs were measured using the Supportive Care Needs Survey (SCNS-SF34) and HNC-specific module (SCNS–HNC) before treatment, three, six, 12 and 24 months after treatment. Linear mixed model analyses were used to study SCNs on the physical & daily living (PDL), psychological (PSY), sexuality (SEX), health system, information and patient support (HSIPS), HNC-functioning (HNC-Function), and lifestyle (HNC-Lifestyle) domain, in relation to demographic, personal, clinical, psychological, physical, social, lifestyle, and cancer-related symptoms as measured at baseline. Results: In total, 563 patients were included. SCNs changed significantly over time. At baseline, 65% had ≥1 moderate/high SCN, versus 42.8% at 24 months. Changes in PDL needs were associated with gender, tumor location, smoking, fear of cancer recurrence, oral pain, and appetite loss, changes in PSY with tumor location, fear of recurrence, social support, emotional functioning, physical functioning, coughing, and use of painkillers, changes in SEX with treatment, changes in HSIPS with muscle strength, changes in HNC-Function with tumor stage, location, social support, physical functioning, fatigue, nausea and vomiting, and speech problems, and changes in HNC-Lifestyle with smoking and alcohol use. Conclusion: SCNs diminish over time, but remain prevalent in HNC patients

Poor sleep quality among newly diagnosed head and neck cancer patients:prevalence and associated factors

BACKGROUND: Head and neck cancer (HNC) patients often suffer from distress attributed to their cancer diagnosis which may disturb their sleep. However, there is lack of research about poor sleep quality among newly diagnosed HNC patients. Therefore, our aim was to investigate the prevalence and the associated factors of poor sleep quality among HNC patients before starting treatment. MATERIALS AND METHODS: A cross-sectional study was conducted using the baseline data from NET-QUBIC study, an ongoing multi-center cohort of HNC patients in the Netherlands. Poor sleep quality was defined as a Pittsburgh Sleep Quality Index (PSQI) total score of > 5. Risk factors examined were sociodemographic factors (age, sex, education level, living situation), clinical characteristics (HNC subsite, tumor stage, comorbidity, performance status), lifestyle factors, coping styles, and HNC symptoms. RESULTS: Among 560 HNC patients, 246 (44%) had poor sleep quality before start of treatment. Several factors were found to be significantly associated with poor sleep: younger age (odds ratio [OR] for each additional year 0.98, 95% CI 0.96-1.00), being female (OR 2.6, 95% CI 1.7-4.1), higher passive coping style (OR 1.18, 95% CI 1.09-1.28), more oral pain (OR 1.10, 95% CI 1.01-1.19), and less sexual interest and enjoyment (OR 1.13, 95% CI 1.06-1.20). CONCLUSION: Poor sleep quality is highly prevalent among HNC patients before start of treatment. Early evaluation and tailored intervention to improve sleep quality are necessary to prepare these patients for HNC treatment and its consequences

Mental healthcare utilization among head and neck cancer patients: A longitudinal cohort study

Objective: To investigate utilization of mental healthcare among head and neck cancer (HNC) patients from diagnosis to 2 years after treatment, in relation to psychological symptoms, mental disorders, need for mental healthcare, and sociodemographic, clinical and personal factors. Methods: Netherlands Quality of life and Biomedical Cohort study data as measured before treatment, at 3 and 6 months, and at 1 and 2 years after treatment was used (n = 610). Data on mental healthcare utilization (iMCQ), psychological symptoms (Hospital Anxiety and Depression Scale, Cancer Worry Scale), mental disorders (CIDI interview), need for mental healthcare (Supportive Care Needs Survey Short-Form 34, either as continuous outcome indicating the level of need or dichotomized into unmet need (yes/no)) and several sociodemographic, clinical and personal factors were collected. Factors associated with mental healthcare utilization were investigated using generalized estimating equations (p < 0.05). Results: Of all HNC patients, 5%–9% used mental healthcare per timepoint. This was 4%–14% in patients with mild-severe psychological symptoms, 4%–17% in patients with severe psychological symptoms, 15%–35% in patients with a mental disorder and 5%–16% in patients with an unmet need for mental healthcare. Among all patients, higher symptoms of anxiety, a higher need for mental healthcare, lower age, higher disease stage, lower self-efficacy and higher social support seeking were significantly associated with mental healthcare utilization. Conclusion: Mental health care utilization among HNC patients is limited, and is related to psychological symptoms, need for mental healthcare, and sociodemographic, clinical and personal factors