BACKGROUND: Activity trackers such as the Fitbit Charge 2 enable users and researchers to monitor physical activity in daily life, which could be beneficial for changing behaviour. However, the accuracy of the Fitbit Charge 2 in a free-living environment is largely unknown.

OBJECTIVE: To investigate the agreement between Fitbit Charge 2 and ActiGraph GT3X for the estimation of steps, energy expenditure, time in sedentary behaviour, and light and moderate-to-vigorous physical activity under free-living conditions, and further examine to what extent placing the ActiGraph on the wrist as opposed to the hip would affect the findings.

METHODS: 41 adults (n = 10 males, n = 31 females) were asked to wear a Fitbit Charge 2 device and two ActiGraph GT3X devices (one on the hip and one on the wrist) for seven consecutive days and fill out a log of wear times. Agreement was assessed through Bland-Altman plots combined with multilevel analysis.

RESULTS: The Fitbit measured 1,492 steps/day more than the hip-worn ActiGraph (limits of agreement [LoA] = -2,250; 5,234), while for sedentary time, it measured 25 min/day less (LoA = -137; 87). Both Bland-Altman plots showed fixed bias. For time in light physical activity, the Fitbit measured 59 min/day more (LoA = -52;169). For time in moderate-to-vigorous physical activity, the Fitbit measured 31 min/day less (LoA = -132; 71) and for activity energy expenditure it measured 408 kcal/day more than the hip-worn ActiGraph (LoA = -385; 1,200). For the two latter outputs, the plots indicated proportional bias. Similar or more pronounced discrepancies, mostly in opposite direction, appeared when comparing to the wrist-worn ActiGraph.

CONCLUSION: Moderate to substantial differences between devices were found for most outputs, which could be due to differences in algorithms. Caution should be taken if replacing one device with another and when comparing results.

OBJECTIVE: This study aimed at exploring everyday activities of people with advanced cancer living at home: which everyday activities they perform; perceived and observed quality of performance of self-care and household activities; which activities they would like to be able to perform; and determine any gender differences.

METHODS: Outpatients (n = 164) with advanced cancer were recruited from Danish oncology units. Data were based on medical hospital records, standardised questionnaires, a 1-day diary, standardised interviews and standardised observations. All data were subject to descriptive and statistical analyses.

RESULTS: More than 95% of the study sample was classified in ECOG performance status 1 and 2. Compared to population-based norms, the participants reported lower levels of global health and quality of life, as well as lower physical and role functioning. Across gender, participants spent the majority of the day involved in self-care and leisure activities. They reported to perform self-care independently without risk, although 60% reported problems with mobility. While heavy household activities were reported as most problematic, participants prioritised support to engage in more active leisure and social activities.

CONCLUSION: People with advanced cancer experience problems related to performance of and engagement in everyday activities indicating a need for palliative rehabilitation services.

A few studies have shown a direct association between maternal and child hair cortisol concentrations (HCC), but the potential correlations within paternal-child and maternal-paternal dyads are not clear from the current evidence. Thus, we aimed to thoroughly examine associations between family members HCC. We conducted a cross-sectional study based on 159 children and their parents (159 mothers and 159 fathers) participating in the Danish Healthy Start Study. Information was available on HCC from both children, mothers and fathers, as well as on several sociodemographic factors. First, Pearson's correlation coefficients were applied to assess crude correlations between family members' HCC. Secondly, analysis of covariance, adjusted for covariates, was applied to estimate child mean HCC in quartiles of maternal and paternal HCC, and mean paternal HCC in quartiles of maternal HCC. Our results showed direct associations between HCC of all family members. We found statistically robust correlations between maternal and child HCC (r = 0.33; P < 0.001), paternal and child HCC (r = 0.37; P < 0.001) and between maternal and paternal HCC (r = 0.31; P < 0.001). Similar results were found when adjusting for covariates in analyses of covariance. Our data provides evidence of associations between family members' HCC. However, we were unable to determine the extent to which these associations were due to shared genetics, assortative mating or environmental factors.

BACKGROUND: The negative impact of maternal smoking during pregnancy on offspring semen quality is well established. Less is known about the impact of paternal smoking.

METHODS: We estimated differences in semen parameters and testicle size according to paternal smoking in 772 adult sons of women enrolled in the Danish National Birth Cohort when pregnant. Parents' smoking was reported around gestational week 16, and analyses were adjusted for parents' ages at conception, maternal pre-pregnancy body mass index, maternal alcohol and caffeine intake, family occupational status, ejaculatory abstinence time, clinic of semen analysis, and season.

RESULTS: Sons of smoking fathers and non-smoking mothers had a 10% (95% confidence interval: -24%, 7%) lower semen concentration and 11% (95% confidence interval: -27%, 8%) lower sperm count than sons of non-smoking parents. Having two smoking parents was associated with 19% reduction in sperm count (95% confidence interval: -37%, 3%). Paternal smoking was not associated with volume, motility, or morphology. Adjusting for maternal smoking, paternal smoking was associated with a 26% increased risk of small testicular volume (95% confidence interval: 0.89, 1.78).

DISCUSSION: Exclusion of sons with a history of testicular cancer, chemotherapy, orchiectomy, and with only one or no testicles may have caused us to underestimate associations if these men's reproductive health including semen quality are in fact more sensitive to paternal smoking.

CONCLUSION: The study provides limited support for slightly lower sperm concentration and total sperm concentration in sons of smoking fathers, but findings are also compatible with no association.