LOFUS will contribute to the knowledge on health in disadvantaged, rural-provincial areas.

Background: Childhood represents an important life stage for establishment of physical activity (PA) habits. Parents are assumed to play an important role in influencing children's PA. Earlier reviews have mainly focused on parental modelling, encouragement, and support for PA, rather than the actual PA levels of parents. Therefore, the purpose of this review was to systematically summarize the evidence on the relationship between parent and child PA. Methods: Papers were identified using electronic databases and manual searches of reference lists. Papers reporting on associations between objectively measured child PA and at least one measure of parental PA were included. The quality of the papers was assessed using a modified version of the ROBINS-I tool. For interpretation of the results across studies, we produced albatross plots for all studies combined and by age-groups, sex of the parents, sex of the child, methodology of assessment of parental PA, and type of PA. Results: Thirty-nine papers were included with sample size of parent-child dyads ranging from 15 to 1267 (mean = 319 dyads, median = 227 dyads). The majority of studies were published from 2008 to 2018 and used accelerometry to assess PA. Most of the studies were classified as having moderate, serious, or critical risk of bias. The albatross plot for all studies combined showed that the clear majority of studies observed a positive relationship between parent and child PA. The plot suggested an average magnitude of correlation across studies to be around 0.13, and the overall impression was that this was fairly similar across child age-groups and gender of parent-child dyads. Studies using objective assessment of parental PA showed stronger relationship between parent and child PA compared with studies using self-report (average magnitude of correlation around 0.16 vs 0.04 respectively). No clear evidence was found for the strength of relationship being dependent on type of PA measure of parent and child (total PA, moderate-to-vigorous PA, steps), however, the relationship for light PA appeared weaker. Conclusion: This systematic review showed that the clear majority of studies observed a weak positive relationship between parent and child PA regardless of age of the child, the gender of the parent-child dyad, and type of PA. Trial registration: Registration in PROSPERO: CRD42019093462.

Background. Previous research has found that sense of coherence is significantly related to aspects of health, but studies on nurse students with a salutogenic approach are limited.Objectives. To investigate (1) if nurse students’ experience of stress differs among clinical practice in nursing homes and medical/surgical wards. (2) Whether sense of coherence and stress are associated with quality of life. (3) If sense of coherence acts as a moderator in the relationship between stress and quality of life.Participants. Data were collected from 227 nurse students between January and April 2014.Methods. Questionnaires measuring stress, sense of coherence and quality of life were completed after a period of clinical practice. Linear regression analyses were used to measure associations between stress, and sense of coherence respectively, and quality of life.Results. The results showed that 33.92% of the students experienced moderate or high levels of stress, and there was significantly more stress in hospital wards compared to nursing homes (p = 0.027). Sense of coherence was positively associated with quality of life in the simple and multiple regression analyses (p < 0.01). Stress was negatively associated with quality of life in the simple regression analysis (p < 0.01), but not in the multiple analyses when sense of coherence was included. However, when we included an interaction term, stress was no longer associated with quality of life and sense of coherence appeared to be a significant moderator in the relationship between stress and quality of life (p = 0.015). Thus, a negative association was seen among students with the lowest levels of sense of coherence.Conclusion. These findings suggest that sense of coherence could be seen as a resource that nurse educators can build upon when supporting students in coping with stress.

Background. Information on self-reported health is important for health professionals, and the aim of this study was to examine associations between lifestyle factors and self-reported health and the mediating effect of disease in a Norwegian population.Methods and Materials. The data collection was conducted as part of the Hordaland Health Study (HUSK) 1997–99, which was a cross-sectional epidemiological study. All individuals in Hordaland county born in 1953–1957 were invited to participate (aged 40–44 years). Complete information for the present study was obtained from 12,883 individuals (44% response rate). Height and weight were measured at a physical examination. Information on lifestyle factors, self-reported health, disease (heart attack, apoplexy, angina pectoris, and diabetes), and socio-demographic variables was obtained from a self-administered questionnaire. Self-reported health was measured with a one-item question. Odds ratios for fair or poor self-reported health were calculated using multiple logistic regression analyses adjusted for disease and socio-demographic variables.Results. Respondents reporting adverse lifestyle behaviours (obesity (odds ratio (OR) 1.7, p < 0.001), smoking (OR 1.2, p < 0.001), or excessive intake of alcohol (OR 3.3, p < 0.001)) showed an increased risk of poor self-reported health. Furthermore, a moderate intake of wine (OR 0.6, p < 0.001) or strenuous physical activity (OR 0.5, p < 0.001) decreased the risk of poor health. Disease did not mediate the effect.Conclusion. A one-item question measuring self-reported health may be a suitable measure for health professionals to identify levels of subjective health and reveal a need to target lifestyle factors in relatively young individuals with or without disease.

Aim The Lolland-Falster Health Study (LOFUS) is an ongoing prospective cohort study at Lolland-Falster, one of the most socioeconomically disadvantaged areas of Denmark. The aim of this study was to examine the participation rates and socioeconomic determinants of participation in LOFUS, approximately halfway through the data collection. Subjects and methods LOFUS started in 2016 and should include 20,000 participants from the total of 103,000 inhabitants of Lolland-Falster by the end of 2019. For the participation analyses, we used data on the 36,883 subjects invited between January 2016 and November 2018. For the analyses of determinants of participation, we used data on the 24,283 adults (aged ≥ 18 years) invited between January 2016 and June 2018, for whom we extracted data on personal income, employment, education, marital status, citizenship, and household type from Danish registers. We used logistic regression to estimate associations between socioeconomic factors and participation, adjusting for age and gender. Results 34.1% of invited subjects participated (men: 31.9%, women: 36.4%), with the highest rate in women aged 60-69 years (47.5%) and the lowest in women aged ≥ 90 years (7.3%). Odds ratios for participation increased with income, education level, and employment status, and among married persons, Danish citizens, middle-aged persons (aged 50-69 years), and women. Conclusion Subjects with lower socioeconomic status were underrepresented halfway through the LOFUS data collection, in line with other cohort studies.

Background Evidence of intra-family resemblance in physical activity (PA) is lacking. The association between parent and child PA appears weak, the influence of age and gender on this association is uncertain, and no studies have investigated the degree of resemblance in family members’ PA behaviours such as walking, sitting/lying, and biking. Thus, the aims of the study were to examine the degree of resemblance in PA within families, specifically between parents and children, and to explore the size of resemblance across age of children, gender of parents and children, and intensity and type of PA. Method The study is a cross-sectional analysis of a subsample (902 parents and 935 children nested within 605 families) of the Danish population study Lolland-Falster Health Study. PA was measured using a dual-accelerometer system (Axivity AX3) with subsequent processing of time spent in light PA (LPA), moderate-to-vigorous PA (MVPA), and vigorous PA and classification of PA behaviour types. Families with at least one son/daughter aged 0–22 years and one parent providing minimum 4 days of valid accelerometer data were included in the analysis. A linear mixed model regression analysis was used to determine the intraclass correlation coefficient (ICC) of clustering among family members for PA intensities and PA behaviours, adjusted for sex, age, parental education, and the interaction between sex and age. Results In the analysis of within-family variation in PA, the ICCs across PA intensities and PA behaviours ranged from 0.06 to 0.34. We found stronger clustering in family members’ PA for LPA and behaviours requiring low energy expenditure (LPA: ICC 0.22 (95% confidence interval (CI) 0.17; 0.28), sitting/lying: ICC 0.34 (95% CI 0.28; 0.40)), and walking: ICC 0.24 (95% CI 0.19; 0.30) than for higher intensities (e.g. MVPA: ICC 0.07 (95% CI 0.03; 0.14)). The ICC for biking was 0.23 (95% CI 0.18; 0.29). Analyses on parent-child dyads gave similar results. No interaction effects for gender and age (except for biking) were found. Conclusion Parents and children’s time spent in PA behaviours requiring low energy expenditure had moderate resemblance within families, whereas engagement in PA with higher intensities showed small or close-to-zero resemblance.

It is unknown how changes in physical activity may affect changes in quality of life (QoL) outcomes during lifestyle interventions for severely obese adults. The purpose of this study was to examine associations in the patterns of change between objectively assessed physical activity as the independent variable and physical, mental, and obesity-specific QoL and life satisfaction as the dependent variables during a two-year lifestyle intervention. Forty-nine severely obese adults (37 women; 43.6 ± 9.4 years; body mass index 42.1 ± 6.0 kg/m2) participated in the study. Assessments were conducted four times using Medical Outcomes Study Short-Form 36 Health Survey (SF-36), Obesity-Related Problems (OP) scale, a single item on life satisfaction, and accelerometers. The physical component summary (PCS) score and the mental component summary (MCS) score were used as SF-36 outcomes. Associations were determined using linear regression analyses and reported as standardized coefficients (stand. coeff.). Change in physical activity was independently associated with change in PCS (stand. coeff. = 0.35, P = .033), MCS (stand. coeff. = 0.51, P = .001), OP (stand. coeff. = −0.31,  P = .018), and life satisfaction (stand. coeff. = 0.39, P = .004) after adjustment for gender, age, and change in body mass index.

BackgroundSeverely obese individuals who seek lifestyle interventions have impaired quality of life (QoL). Research suggests that physical activity (PA) plays a role in weight reduction and improved health in this group, but knowledge about the association of PA with QoL outcomes is sparse and inconsistent. The aim of this study was to investigate whether a higher level of PA was independently associated with higher QoL in severely obese individuals prior to the beginning of a lifestyle intervention.MethodsDuring 2010, a total of 49 severely obese individuals who began a lifestyle intervention programme in Western Norway agreed to participate in the study. Data were collected prior to the beginning of the intervention. QoL was measured by a one-item scale on life satisfaction and the SF-36, PA was measured by an accelerometer, and clinical data were collected by health staff. Linear regression analyses were used to determine the associations between PA and QoL outcomes (life satisfaction, physical functioning, and mental health), adjusting for age, gender, and body mass index (BMI).ResultsIn the adjusted analyses, we found positive relationships between PA and life satisfaction (Stand. coeff. 0.39, p = 0.024) and physical functioning (Stand. coeff. 0.34, p = 0.025). There was no association between PA and mental health (Stand. coeff. 0.15, p = 0.376).ConclusionThis study detected associations between objectively measured PA and life satisfaction as well as physical functioning in a group of severely obese individuals before they began a lifestyle intervention programme.