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Introduction: Dementia prevalence in older women is higher than that in men. The purpose of the present study was to investigate whether there is a female disadvantage in cognitive functioning at adult age and/or whether a female disadvantage develops with age. Methods: Data of 5,135 women and 4,756 men from the Longitudinal Aging Study Amsterdam (LASA) and the Doetinchem Cohort Study (DCS) were used. In the LASA, memory, processing speed, fluid intelligence, and global cognitive function were measured every 3–4 years since 1992 in persons aged 55+ years for up to 23 years. In the DCS, memory, processing speed, cognitive flexibility, and global cognitive function were measured every 5 years since 1995 in persons aged 45+ years for up to 20 years. Sex differences in cognitive aging were analyzed using linear mixed models and also examined by the 10-year birth cohort or level of education. Results: Women had a better memory, processing speed, flexibility, and, in the DCS only, global cognitive function than men (p’s < 0.01). However, women showed up to 10% faster decline in these cognitive domains, except for flexibility, where women showed 9% slower decline. In the LASA, women scored poorer on fluid intelligence (p < 0.01), but their decline was 10% slower than that in men. Female advantage was larger in later born cohorts; adjustment for the educational level increased the female advantage. Conclusion: Women have better memory and processing speed than men at middle age. This female advantage becomes smaller with aging and has increased in more recent birth cohorts.

Objective: This study investigates the associations between working from home and the presence of MSP during the COVID-19 pandemic. Working from home often involves a lot of sedentary computer screen work and the home working environment might not be optimally equipped, which can lead to health problems, including musculoskeletal pain (MSP). Methods: Longitudinal data from 16 questionnaire rounds of the Lifelines COVID-19 cohort during the first year of the COVID-19 pandemic (March 2020-February 2021) were used. In total, 40,702 Dutch workers were included. In every round, participants reported whether they worked on location, from home, or hybrid. Logistic Generalized Estimating Equations were used to study the association of work situation with the presence of MSP and the presence of severe MSP. Results: Working from home was associated with higher risks of having MSP in the lower back (OR: 1.05, 95% CI 1.02–1.08), in the upper back (OR: 1.24, 95% CI 1.18–1.31), and in the neck, shoulder(s) and/or arm(s) (OR: 1.18, 95% CI 1.13–1.22). Hybrid working was associated with higher risks of having pain in the upper back (OR: 1.09, 95% CI 1.02–1.17) and in the neck, shoulder(s) and/or arm(s) (OR: 1.14, 95% CI 1.09–1.20). Both home and hybrid workers had higher risks of severe MSP in the different body areas. Conclusion: Home workers, and to a smaller extent hybrid workers, had higher risks of having MSP than location workers during the first year of the COVID-19 pandemic. The results indicate the importance of measures to prevent MSP in future policies involving working from home.

Objective Using a novel mediation method that presents unbiased results even in the presence of exposure-mediator interactions, this study estimated the extent to which working conditions and health behaviors contribute to educational inequalities in self-rated health in the workforce. Methods Respondents of the longitudinal Survey of Health, Ageing, and Retirement in Europe (SHARE) in 16 countries were selected, aged 50-64 years, in paid employment at baseline and with information on education and self-rated health (N=15 028). Education, health behaviors [including body mass index (BMI)] and working conditions were measured at baseline and self-rated health at baseline and two-year follow-up. Causal mediation analysis with inverse odds weighting was used to estimate the total effect of education on self-rated health, decomposed into a natural direct effect (NDE) and natural indirect effect (NIE). Results Lower educated workers were more likely to perceive their health as poor than higher educated workers [relative risk (RR) 1.48, 95% confidence interval (CI) 1.37-1.60]. They were also more likely to have unfavorable working conditions and unhealthy behaviors, except for alcohol consumption. When all working conditions were included, the remaining NDE was RR 1.30 (95% CI 1.15-1.44). When BMI and health behaviors were included, the remaining NDE was RR 1.40 (95% CI 1.27-1.54). Working conditions explained 38% and health behaviors and BMI explained 16% of educational inequalities in health. Including all mediators explained 64% of educational inequalities in self-rated health. Conclusions Working conditions and health behaviors explain over half of the educational inequalities in self-rated health. To reduce health inequalities, improving working conditions seems to be more important than introducing health promotion programs in the workforce.

Working from home during the COVID-19 pandemic has affected many workers' daily life and possibly their physical activity behavior. We studied the longitudinal association of working from home during the pandemic with physical activity and sedentary behavior.Longitudinal data from 17 questionnaire rounds of the Lifelines COVID-19 cohort (March 2020-February 2021) were used. In total, 33 325 workers were included. In every round, participants reported their current work situation: location, home, or hybrid (working on location and from home). Physical activity levels and sedentary behavior before and during the pandemic were asked. Logistic generalized estimating equations adjusted for demographic/work/health covariates were used to study the association of work situation with physical activity and sedentary behavior.Home workers were less likely to meet the recommended ≥150 minutes/week of moderate-to-vigorous-intensity activity during the pandemic than location workers [odds ratio (OR) 0.93, 95% confidence interval (CI) 0.90-0.96] and more likely to be less physically active than before the pandemic (OR 1.09, 95% CI 1.04-1.14). Furthermore, compared to location workers, home and hybrid workers were more likely to be more sedentary (sitting ≥8 hours/day) on workdays during than before the pandemic (OR 1.51, 95% CI 1.39-1.64/1.36-1.68, respectively).Compared to location workers, home workers (and to a lesser extent hybrid workers) were more often physically inactive and sedentary during than before the COVID-19 pandemic. As a substantial part of the working population may continue to work (partly) from home after the pandemic, workers should be supported to increase activity and reduce sitting while working from home.

Objective Workplace health promotion programs (WHPPs) have shown to be effective in improving lifestyle behaviors of employees. Despite potential benefits for employees, participation rates are generally low. The aim of this study was to gain deeper insight into barriers and facilitators for participation in WHPPs prior to implementation according to employees. Methods Peer-to-peer interviewing, a method derived from citizen science, was used to actively involve employees in the data collection. Employees working in the cleaning-, ICT- and facility-sector were trained to interview their co-workers. Interviews were recorded and transcribed verbatim. Thematic analysis was performed using the Consolidated Framework for Implementation Research (CFIR), complemented with the constructs ‘interpersonal factors’ and ‘intrapersonal factors’ from the social ecological model. Data were coded deductively and inductively, and rated by two researchers independently. Results Fourteen peer-interviewers conducted 62 peer-to-peer interviews. Main barriers for participation in WHPPs were an unsupportive organizational culture where lifestyle is not a common topic and programs that are not tailored to their needs. Support from peers and supervisors were facilitators. The availability of organizational resources, such as facilities and financial compensation, support participation. Conclusions To enhance participation of employees in WHPPs it is recommended to take into account the barriers and facilitators identified in this study. For instance, employees should be involved in the development and implementation of WHPPS by the employer and their needs and available resources should be taken into account. This may lead to more successful implementation and higher participation rates in future WHPPs.

Objectives: To examine the mediating role of unhealthy behaviors and body mass index (BMI) in the relation between high physical workload and self-rated health in male construction workers. Methods: Longitudinal data over 2010 to 2018 were used of 30,224 male construction workers in The Netherlands. Smoking, lack of physical activity, and alcohol consumption were self-reported. BMI was based on measured body weight and height. Multilevel modeling path analyses were used to determine the mediating role of unhealthy behaviors in the relation between physical workload and poor health. Results: A direct effect of high physical workload on poor health adjusted for unhealthy behaviors and BMI was found (odds ratio [OR] 1.49, 95% confidence interval [CI] 1.38 to 1.68). Indirect effects of the unhealthy behaviors and BMI in the relation between high physical workload and poor health were small (OR varying from 0.96 to 1.04). Conclusion: The pathway of high physical workload and poor health through unhealthy behaviors and BMI was not supported. Conflict of interest statemen

Background This study explores whether a sex difference in sensitivity to (strength of the association) and/or in exposure to (prevalence) determinants of gait speed contributes to the observed lower gait speed among older women compared to men. Methods Data from the Longitudinal Aging Study Amsterdam (LASA) were used. In total 2407 men and women aged 55–81 years were included, with baseline measurements in 1992/2002 and follow-up measurements every 3–4 years for 15/25 years. Multivariable mixed model analysis was used to investigate sex differences in sensitivity (interaction term with sex) and in exposure to (change of the sex difference when adjusted) socio-demographic, lifestyle, social and health determinants of gait speed. Results Women had a 0.054 m/s (95 % CI: 0.076 − 0.033, adjusted for height and age) lower mean gait speed compared to men. In general, men and women had similar determinants of gait speed. However, higher BMI and lower physical activity were more strongly associated with lower gait speed in women compared to men (i.e. higher sensitivity). More often having a lower educational level, living alone and having more chronic diseases, pain and depressive symptoms among women compared to men also contributed to observed lower gait speed in women (i.e. higher exposure). In contrast, men more often being a smoker, having a lower physical activity and a smaller personal network size compared to women contributed to a lower gait speed among men (i.e. higher exposure). Conclusions Both a higher sensitivity and higher exposure to determinants of gait speed among women compared to men contributes to the observed lower gait speed among older women. The identified (modifiable) contributing factors should be taken into account when developing prevention and/or treatment strategies aimed to enhance healthy physical aging. This might require a sex-specific approach in both research and clinical practice, which is currently often lacking.

Generational differences in health-related factors will affect forecasts of future disease patterns and health care needs. We studied whether participation in sports activity and being physically active are different between 10-year generations over a part of their life course. We used three different datasets on Dutch adults: a cohort study running for 20 years, the Doetinchem Cohort Study (DCS), multiple yearly databases (2001-2015) from the Netherlands health interview study (HIS), and a retrospective cohort study on life time sports careers, the Sports Participation Monitor (SPM). Based on a different questionnaire in each study, frequencies of weekly sport participation and being physically active according to recommended levels were determined by generation and sex. All data sets showed that self-reported sport participation has been increasing with every 10-year generation already for many decades. Especially for those generations born in the 1930s up to the 1960s, sport participation is higher compared to their predecessors. For instance at age 50, 43% of those born in the 1940s engaged in sports activities compared to 55% of those born in the 1950s (DCS data). Physical activity according to recommended levels showed no systematic differences by generation. In conclusion, favourable generation-specific trends in participation in sports activities are found: recent generations are doing better than the older generations. It is unclear whether this also reflects higher levels of physical activity or lower levels of inactivity. Future research may reveal whether these developments also hold for other countries, and whether these developments continue for the younger generations.

How long does the average person sleep? Here, Kocevska et al. conducted a meta-analysis including over 1.1 million people to produce age- and sex-specific population reference charts for sleep duration and efficiency.We aimed to obtain reliable reference charts for sleep duration, estimate the prevalence of sleep complaints across the lifespan and identify risk indicators of poor sleep. Studies were identified through systematic literature search in Embase, Medline and Web of Science (9 August 2019) and through personal contacts. Eligible studies had to be published between 2000 and 2017 with data on sleep assessed with questionnaires including >= 100 participants from the general population. We assembled individual participant data from 200,358 people (aged 1-100 years, 55% female) from 36 studies from the Netherlands, 471,759 people (40-69 years, 55.5% female) from the United Kingdom and 409,617 people (>= 18 years, 55.8% female) from the United States. One in four people slept less than age-specific recommendations, but only 5.8% slept outside of the 'acceptable' sleep duration. Among teenagers, 51.5% reported total sleep times (TST) of less than the recommended 8-10 h and 18% report daytime sleepiness. In adults (>= 18 years), poor sleep quality (13.3%) and insomnia symptoms (9.6-19.4%) were more prevalent than short sleep duration (6.5% with TST < 6 h). Insomnia symptoms were most frequent in people spending >= 9 h in bed, whereas poor sleep quality was more frequent in those spending = 41 years) reported sleeping shorter times or slightly less efficiently than men, whereas with actigraphy they were estimated to sleep longer and more efficiently than man. This study provides age- and sex-specific population reference charts for sleep duration and efficiency which can help guide personalized advice on sleep length and preventive practices.

Introduction Workplace health promotion (WHP) programs have shown to be effective in the reduction of body weight, increased psychological wellbeing and perceived health of employees. Despite the potential benefits for employees, participation rates of WHP programs are often low (10–64%). Objectives To get more insight into reasons for (non)participation, the objective of this study was to identify the barriers and facilitators for participation in WHP programs from the employee perspective. Methods Peer-to-peer interviewing, a method derived from citizen science, was used to actively involve the target group of employees. In total 14 employees working in the cleaning-, ICT- and facility- sector were trained to conduct interviews themselves with co-workers. All interviews were recorded and transcribed verbatim. The Consolidated Framework for Implementation Research (CFIR) was used to create an initial codebook, complemented with the constructs ‘interpersonal’ and ‘intrapersonal factors’ from the Social Ecological Model. Data were coded both deductively and inductively, and ranked by two researchers independently. Results In total, 62 peer-to-peer interviews were conducted by the 14 peer-interviewers. Preliminary findings show that main barriers for participation in WHP interventions are a lack of knowledge about the programs and a negative attitude towards WHP (e.g. no belief that their employer can help them with improving their lifestyle). Facilitating factors identified were fit of the WHP activities to the employees’ needs and available (working) time to participate. Conclusion Our findings on the main barriers and facilitators for participation in WHP according to employees may contribute to more successful implementation and higher participation rates in future WHP programs.

OBJECTIVES: Older women report lower mental health compared to men, yet little is known about the nature of this sex difference. Therefore, this study investigates time trends and possible risk groups.METHOD: Data from the Doetinchem Cohort Study (DCS) and the Longitudinal Aging Study Amsterdam (LASA) were used. General mental health was assessed every 5 years, from 1995 to 1998 onwards (DCS, n = 1412, 20-year follow-up, baseline age 55-64 years). Depressive and anxiety symptoms were assessed for two birth cohorts, from 1992/1993 onwards (LASA cohort 1, n = 967, 24-year follow-up, age 55-65 years,) and 2002/2003 onwards (LASA cohort 2, n = 1002, 12-year follow-up, age 55-65 years) with follow-up measurements every 3-4 years.RESULTS: Mixed model analyses showed that older women had a worse general mental health (-6.95; -8.36 to 5.53; range 0-100, ∼10% lower), more depressive symptoms (2.09; 1.53-2.63; range 0-60, ∼30% more) and more anxiety symptoms (0.86; 0.54-1.18; range 0-11, ∼30% more) compared to men. These sex differences remained stable until the age of 75 years, where after they decreased due to an accelerated decline in mental health for men compared to women. Sex differences and their course by age were consistent over successive birth cohorts, educational levels and ethnic groups (Caucasian vs. Turkish/Moroccan).CONCLUSION: There is a consistent female disadvantage in mental health across different sociodemographic groups and over decennia (1992 vs. 2002) with no specific risk groups.

The workplace is an ideal environment for promoting workers’ health. Nevertheless, preventive health measures are insufficiently implemented, especially in small and medium-sized enterprises (SMEs) with up to 250 employees. The aim of this study was to investigate determinants for the implementation of measures to prevent musculoskeletal and mental health disorders from the perspective of enterprise representatives in Dutch SMEs. An online survey was completed by 79 SME representatives (e.g., owners, HR professionals and occupational health and safety officers) in the cleaning, care, construction and transport sectors. In addition, semi-structured interviews were conducted with 18 enterprise representatives. The interview transcripts were analyzed using an inductive approach. Survey data showed that the focus of prevention efforts by SMEs is on improving working conditions and complying with legally required occupational health requirements, while lifestyle measures are rarely implemented. The determinants of implementation according to enterprise representatives were associated with 10 distinct themes. These were (1) available resources (both finances and staff), (2) complexity of implementation of measures, (3) awareness, (4) knowledge and expertise, (5) availability of time, (6) employer and worker commitment, (7) workers’ openness for measures, (8) communication, (9) workers’ trust and autonomy and (10) integration in organizational policy. These findings can serve as a support for developing strategies for implementing preventive health measures in SMEs.

Veel gemeenten bieden preventieve activiteiten voor ouderen aan. Maar hoe bereik je juist die groepen ouderen die het meeste baat hierbij hebben en die je met het reguliere aanbod nauwelijks bereikt? Wat zijn redenen dat deze groepen onvoldoende bereikt worden en wat zijn volgens professionals en ouderen elementen die zorgen dat deze groepen wel meedoen?

Background Accumulation of problems in physical, psychological, cognitive, or social functioning is characteristic for frail individuals. Using a four-domain approach of frailty, this study explored how sociodemographic and lifestyle factors, life events and health are associated with frailty. Methods The study sample included 4019 men and women (aged 40–81 years) examined during the fifth round (2008–2012) of the Doetinchem Cohort Study. Four domains of frailty were considered: physical (≥4 of 8 criteria: unintentional weight loss, exhaustion, strength, perceived health, walking, balance, hearing and vision impairments), psychological (2 criteria: depressive symptoms, mental health), cognitive (

Background: Pain at any age is related to pain experienced at younger ages, but not much is known on how pain develops over the adult life course. We studied long-term individual trajectories of pain over 15 years of the life course and evaluated the role of baseline sociodemographic factors, lifestyle factors and health characteristics. Methods: Longitudinal data from the Doetinchem Cohort Study was used with 3,485 adults aged 25–71 years at baseline who were measured every 5 years, until the age of 40–86 years. Four measurements of self-reported pain were used to distinguish 15-year trajectories of pain, that were summarized in five pre-definedpatterns. Results: The typical pain trajectory patterns were (prevalence): never pain (32.2%), persistent pain (19.5%), development of pain (19.2%), diminishing pain (11.1%) and fluctuating pain (18.0%). Multinomial logistic regression analyses showed that the trajectory characterized by never pain was more often found among: men, non-smokers, those reporting a normal sleep duration and those without obesity, chronic disease, a poor mental health, a poor perceived health, or musculoskeletal complaints. Conclusions: A substantial part of the population reports pain over a long period of their life course and long-term trajectories of pain may reflect phenotypes that may be relevant to take into account in pain management. Several risk factors, such as short-sleep duration, smoking, obesity and poor perceived or mental health may be relevant in recognizing those with pain, and tackling these may contribute to the prevention of pain over the life course. Significance: Asking adults about pain every 5 years over a 15-year period shows that almost one-third never reported pain and one-fifth persistent pain. “Persistent” and “developing” pain is associated with smoking, obesity and short sleep duration. Long-term pain trajectories may reflect relevant pain phenotypes.

OBJECTIVE: This systematic review aimed to provide an overview of the effectiveness of health promotion interventions at the workplace on physical and mental health outcomes related to chronic diseases. METHODS: A search for reviews published between 2009 and 2018 was performed in electronic databases. References of the included reviews were checked for additional reviews. Workplace health promotion interventions were included if they studied metabolic risk factors as important predictors of type 2 diabetes mellitus (T2DM) and cardiovascular diseases (CVD) or if they studied mental or musculoskeletal health outcomes. Review quality was assessed using the AMSTAR checklist. RESULTS: Of the 23 reviews included, 9 were of high quality. For weight-related outcomes, there was strong evidence for favorable effects of workplace interventions, especially for interventions targeting physical activity and/or diet. For the remaining metabolic risk factors, there was no evidence for a positive effect of workplace health promotion interventions due to the absence of high quality reviews and mixed conclusions between the reviews. There was also strong evidence for a positive, small effect on the prevention of mental health disorders of workplace psychological interventions, especially those that use e- health and cognitive behavioral therapy techniques. Furthermore, strong evidence was found for the prevention of musculoskeletal disorders through workplace interventions, especially resistance exercise training. CONCLUSIONS: This review found evidence for the effectiveness of workplace interventions on the prevention of weight-related outcomes as well as mental health and musculoskeletal disorders. Future research is however needed on the factors that contribute to the successful implementation of an intervention.

BackgroundOlder women perform consistently poorer on physical performance tests compared to men. Risk groups for this "female disadvantage" in physical performance and it's development over successive birth cohorts are unknown. This is important information for preventive strategies aimed to enhance healthy aging in all older women. This study aims to longitudinal investigate whether there are risk groups for a more apparent female disadvantage and study its trend over successive birth cohorts.MethodsData of the Longitudinal Aging Study Amsterdam (LASA) were used. All participants were aged 55-65 years at baseline. Longitudinal data of two birth cohorts with baseline measurements in 1992/1993 (n = 966, 24 year follow-up) and 2002/2003 (n = 1002, 12 year follow-up) were included. Follow-up measurements were repeated every three/four years. Cross-sectional data of two additional cohorts were included to compare ethnic groups: a Dutch cohort (2012/2013, n = 1023) and a Migration cohort (2013/2014, n = 478) consisting of migrants with a Turkish/Moroccan ethnicity.ResultsMixed model analysis showed that women aged 55 years and older had a lower age- and height-adjusted gait speed (-0.03 m/s; -0.063-0.001), chair stand speed (-0.05 stand/s; -0.071--0.033), handgrip strength (-14,8 kg; -15.69--13.84) and balance (OR = 0.71; 0.547-0.916) compared to men. The sex difference in handgrip strength diminished with increasing age, but remained stable for gait speed, chair stand speed and balance. In general, results were consistent across different, educational levels and Turkish/Moroccan ethnic groups and birth cohorts.ConclusionsThere is a consistent "female disadvantage" in physical performance among older adults, which remains stable with increasing age (except for handgrip strength) and is consistent across different educational levels, ethnic groups and successive birth cohorts. So, no specific risk groups for the female disadvantage in physical performance were identified. Preventive strategies aimed to enhance healthy aging in older women are needed and should target all older women.

Objectives: In older adults, both short and long sleep duration are associated with lower cognitive function, suggesting an inverted U-shaped association between sleep duration and cognitive outcomes. This study examined whether sleep duration is associated with (changes in) cognitive function in a middle-aged population. Methods: In the Doetinchem Cohort Study, the cognitive function of 2970 men and women aged 41-75 years at baseline (1995-2007) was examined 2-3 times, with 5-year time intervals. Global cognitive function and the domains memory, information processing speed, and cognitive flexibility were assessed. In multivariable linear regression models, (change in) self-reported sleep duration was studied in association with the level and change in cognitive function. In a subsample of the population (n = 2587), the association of sleep duration and feeling rested with cognitive function was studied. Results: Sleep duration of 9 h and more was statistically significantly associated with lower global cognitive function (p

BackgroundThis study aims to estimate to what extent working conditions and health behaviours mediate the increased risk of low educated workers to report a poor health.MethodsRespondents of the longitudinal Survey of Health, Ageing, and Retirement in Europe (SHARE) in 18 European countries were selected aged between 50 years and 64 years, in paid employment at baseline and with information on education and self-rated health (n=15,126). Health behaviours and physical and psychosocial work characteristics were measured at baseline, while self-rated health was measured at 2 year follow up. We used loglinear regression models and Inverse Odds Weighting causal mediation analysis to estimate the total effect of low education on self-rated health and to decompose the effect into natural direct (NDE) and natural indirect effects (NIE).ResultsLower educated workers were more likely to be in poor health compared to higher educated workers. The total effect of low education on self-rated health was RR=1.81 [95% CI 1.66–1.97]. For work conditions, having a physical demanding job was the strongest mediator, followed by lack of job control and lack of job rewards. NIE through working conditions was RR=1.16 [95% CI 1.06–1.25], explaining about 30% of educational inequalities in self-rated health. For health behaviour, body mass index and alcohol were the strongest mediators, followed by smoking. NIE though health behaviour was RR=1.14 [95% CI 1.07–1.20], explaining about 27% of educational inequalities in self-rated health.ConclusionsPreventive interventions focusing on reducing physical work demands as well as improving health behaviour may contribute to reducing educational inequalities in self-rated health among workers in Europe.

Introduction Chronic diseases and multimorbidity are common and expected to rise over the coming years. The objective of this study is to examine the time trend in the prevalence of chronic diseases and multimorbidity over the period 2001 till 2011 in the Netherlands, and the extent to which this can be ascribed to the aging of the population. Methods Monitoring study, using two data sources: 1) medical records of patients listed in a nationally representative network of general practices over the period 2002–2011, and 2) national health interview surveys over the period 2001–2011. Regression models were used to study trends in the prevalence-rates over time, with and without standardization for age. Results An increase from 34.9% to 41.8% (p

Objective. Sedentary behaviors are reported to impose health risks. Since occupational exposure is a major proportion of total sedentary time, we studied the association between occupational sitting and a number of health problems. Methods. From the longitudinal Doetinchem Cohort Study, we selected those working at baseline with complete data (n = 1,509). Participants were examined four times at 5 year-intervals between 1993 and 2012. We characterized occupational sitting as follows: 1) stable sitters and stable non sitters over a 15-year period, based on job characteristics and (2) having a job with a low, moderate or high amount of sitting, based on tertiles of self-reported number of hours per week of occupational sitting, measured at wave 5. Linear and logistic regression models were used. Outcomes were self-reported mental health, low-back or upper extremity pain, and objectively measured cardiometabolic health (overweight, hypertension, hypercholesterolemia). Results Compared to stable non sitters, a lower risk of chronic upper extremity pain was observed for stable sitters (OR 0.75, 95% CI: 0.57; 1.00) as well as for those in the two upper tertiles for hours of occupational sitting (>4 hr/wk) (OR 0.65; 95%CI 0.50-0.86). For the other health outcomes studied, no significant associations were found with occupational sitting. Conclusion. Our findings do not support the hypothesis that occupational sitting is associated with health problems. The finding that occupational sitting is associated with less upper extremity pain might be due to the association of occupational sitting with less physical load.

Background The long-term course of long-standing low back pain is largely unknown since long-term data are scarce. Objective We examined the course of self-reported low back pain in the prospective population-based Doetinchem cohort over a period of 10 years. Methods Between 1993 and 2007, around 5700 randomly selected men and women in four age groups of originally 20–29, 30–39, 40–49, 50–59 years were measured three times. Logistic regression analysis was used to study the association of sociodemographic (gender, age, education, work status) and lifestyle characteristics (BMI, smoking, physical activity) with persistent and new episodes of long-standing low back pain. Results The prevalence of long-standing low back pain is quite stable over a 10 year period, approximately 20% on population level. On individual level, around 30% of the population was completely free of low back pain during the entire period, 6% can be characterized as persistent back pain sufferers. Individuals with persistent and a varying pattern have a more unhealthy lifestyle (BMI and smoking) than those without low back pain. Age, smoking, obesity and not having a paid job are associated with 10-year persistent back pain in the general population, whereas age and not having a paid job are associated in those with long-lasting back pain at baseline. New episodes of long-standing back pain are relatively frequent among women and smokers. Conclusions Low back pain in the population is characterized as very dynamic which challenges epidemiological studies highly. Long-term information on the course of back pain is needed to define severe subgroups.

Purpose: To describe common trajectories of physical functioning and their determinants among an adult cohort, followed over a period of 15 years. Methods: The study sample consisted of 4,123 participants (initial ages 26-70 years) from the Doetinchem Cohort Study, who participated in three or four measurement cycles. Physical functioning was measured with the Dutch version of the SF-36. Using a Group-Based modelling strategy, trajectories of physical functioning were determined. Weighted multinomial logistic regression analyses were performed to identify Socio-Demographic, lifestyle and health characteristics that differentiate between the trajectories at baseline. Results: Five common physical functioning trajectories were distinguished, labelled as 'Stable not limited' (27% of the population), 'Stable slightly limited' (54%), 'Slightly limited substantial deterioration' (7%), 'Moderately limited gradual improvement' (9%) and 'Stable severely limited' (3%). The characteristics that differentiate between the trajectories with limitations and the trajectory 'Stable not limited' were being female, older, physically inactive, overweight or obese, having one or more chronic conditions, poor mental health and poor Self-Perceived health at baseline. Being younger, physically active, less obese, living with a partner and a good perceived health were characteristics of the trajectory 'Moderately limited gradual improvement' compared with 'Stable severely limited'. Conclusion: Five common trajectories of physical functioning were distinguished in an adult cohort, with most individuals following a stable but slightly limited course of physical functioning. Some early risk indicators were found that in the future might be used to early identify those with limitations in physical functioning.

Background: Younger and older generations may differ substantially in their lifetime smoking habits, which may result in generation-specific health challenges. We aimed to quantify generation shifts in smoking over a period of 25 years. Methods: We used the Doetinchem Cohort Study (baseline 1987-1991; 7768 individuals; 20-60 years; follow-up 1993-2012) and the Longitudinal Aging Study Amsterdam (baseline 1992-1993; 3017 individuals; 55-85 years; follow-up 1995-2009). Generation shifts were studied between 10-year generations (age range: 20-100 years). Generation shifts were examined graphically and by using logistic random effect models for men and women. Results: Among men, significant generation shifts in current smoking were found between two non-successive generations: for instance men in their 40s at baseline smoked much more than men in their 40s at follow-up (33.6% vs. 23.1%, p < 0.05). Among women, the most recently born generation showed a favourable significant generation shift in current smoking (-7.3%) and ever smoking (-10.1%). For all other generations, the prevalence of ever smoking among women was significantly higher in every more recently born generation, whereas no other generation shifts were observed for current smoking. The unfavourable generation shifts were mainly found among the lower educated. Conclusions: The future burden of disease due to smoking is expected to be reduced among men, but not yet among women. Educational differences in smoking-related health problems are expected to increase.

Background Work disability has serious consequences for individuals as well as society. It is possible to facilitate resumption of work by reducing barriers to return to work (RTW) and promoting collaboration with key stakeholders. This review was first published in 2009 and has now been updated to include studies published up to February 2015. Objectives To determine the effectiveness of workplace interventions in preventing work disability among sick-listed workers, when compared to usual care or clinical interventions. Search methods We searched the Cochrane Work Trials Register, the Cochrane Central Register of Controlled Trials (CENTRAL), MEDLINE, Embase, and PsycINFO databases on 2 February 2015. Selection criteria We included randomised controlled trials (RCTs) of workplace interventions that aimed to improve RTW for disabled workers. We only included studies where RTW or conversely sickness absence was reported as a continuous outcome. Data collection and analysis Two review authors independently extracted data and assessed risk of bias of the studies. We performed meta-analysis where possible, and we assessed the quality of evidence according to GRADE criteria. We used standard methodological procedures expected by Cochrane. Main results We included 14 RCTs with 1897 workers. Eight studies included workers with musculoskeletal disorders, five workers with mental health problems, and one workers with cancer. We judged six studies to have low risk of bias for the outcome sickness absence. Workplace interventions significantly improved time until first RTW compared to usual care, moderate-quality evidence (hazard ratio (HR) 1.55, 95% confidence interval (CI) 1.20 to 2.01). Workplace interventions did not considerably reduce time to lasting RTW compared to usual care, very low-quality evidence (HR 1.07, 95% CI 0.72 to 1.57). The effect on cumulative duration of sickness absence showed a mean difference of -33.33 (95% CI -49.54 to -17.12), favouring the workplace intervention, high-quality evidence. One study assessed recurrences of sick leave, and favoured usual care, moderate-quality evidence (HR 0.42, 95% CI 0.21 to 0.82). Overall, the effectiveness of workplace interventions on work disability showed varying results. In subgroup analyses, we found that workplace interventions reduced time to first and lasting RTW among workers with musculoskeletal disorders more than usual care (HR 1.44, 95% CI 1.15 to 1.82 and HR 1.77, 95% CI 1.37 to 2.29, respectively; both moderate-quality evidence). In studies of workers with musculoskeletal disorders, pain also improved (standardised mean difference (SMD) -0.26, 95% CI -0.47 to -0.06), as well as functional status (SMD -0.33, 95% CI -0.58 to -0.08). In studies of workers with mental health problems, there was a significant improvement in time until first RTW (HR 2.64, 95% CI 1.41 to 4.95), but no considerable reduction in lasting RTW (HR 0.79, 95% CI 0.54 to 1.17). One study of workers with cancer did not find a considerable reduction in lasting RTW (HR 0.88, 95% CI 0.53 to 1.47). In another subgroup analysis, we did not find evidence that offering a workplace intervention in combination with a cognitive behavioural intervention (HR 1.93, 95% CI 1.27 to 2.93) is considerably more effective than offering a workplace intervention alone (HR 1.35, 95% CI 1.01 to 1.82, test for subgroup differences P = 0.17). Workplace interventions did not considerably reduce time until first RTW compared with a clinical intervention in workers with mental health problems in one study (HR 2.65, 95% CI 1.42 to 4.95, very low-quality evidence). Authors' conclusions We found moderate-quality evidence that workplace interventions reduce time to first RTW, high-quality evidence that workplace interventions reduce cumulative duration of sickness absence, very low-quality evidence that workplace interventions reduce time to lasting RTW, and moderate-quality evidence that workplace interventions increase recurrences of sick leave. Overall, the effectiveness of workplace interventions on work disability showed varying results. Workplace interventions reduce time to RTW and improve pain and functional status in workers with musculoskeletal disorders. We found no evidence of a considerable effect of workplace interventions on time to RTW in workers with mental health problems or cancer. We found moderate-quality evidence to support workplace interventions for workers with musculoskeletal disorders. The quality of the evidence on the effectiveness of workplace interventions for workers with mental health problems and cancer is low, and results do not show an effect of workplace interventions for these workers. Future research should expand the range of health conditions evaluated with high-quality studies.

BackgroundMultimorbidity is common among ageing populations and it affects the demand for health services. The objective of this study was to examine the relationship between multimorbidity (i.e. the number of diseases and specific combinations of diseases) and the use of general practice services in the Dutch population of 55 years and older.MethodsData on diagnosed chronic diseases, contacts (including face-to-face consultations, phone contacts, and home visits), drug prescription rates, and referral rates to specialised care were derived from the Netherlands Information Network of General Practice (LINH), limited to patients whose data were available from 2006 to 2008 (N = 32,583). Multimorbidity was defined as having two or more out of 28 chronic diseases. Multilevel analyses adjusted for age, gender, and clustering of patients in general practices were used to assess the association between multimorbidity and service utilization in 2008.ResultsPatients diagnosed with multiple chronic diseases had on average 18.3 contacts (95% CI 16.8 19.9) per year. This was significantly higher than patients with one chronic disease (11.7 contacts (10.8 12.6)) or without any (6.1 contacts (5.6 6.6)). A higher number of chronic diseases was associated with more contacts, more prescriptions, and more referrals to specialized care. However, the number of contacts per disease decreased with an increasing number of diseases; patients with a single disease had between 9 to 17 contacts a year and patients with five or more diseases had 5 or 6 contacts per disease per year. Contact rates for specific combinations of diseases were lower than what would be expected on the basis of contact rates of the separate diseases.ConclusionMultimorbidity is associated with increased health care utilization in general practice, yet the increase declines per additional disease. Still, with the expected rise in multimorbidity in the coming decades more extensive health resources are required.

Objective: To evaluate the relationship between presence and nature of co-morbidity and quality of care for diabetes patients enrolled in diabetes disease management programmes provided by care groups.Methods: We performed an observational study within eight Dutch diabetes care groups. Data from patient record systems of care groups and patient questionnaires were used to determine quality of care. Quality of care was measured as provision of the recommended diabetes care, patients’ achievement of recommended clinical outcomes and patients’ perception of coordination and integration of care.Results: 527 diabetes patients without and 1187 diabetes patients with co-morbidity were included. Of the co-morbid patients, 7.8% had concordant co-morbid conditions only, 63.8% had discordant co-morbid diseases only and 28.4% had both types of conditions. Hardly any differences were observed between patients with and without co-morbidity in terms of provided care, achievement of clinical outcomes and perceived coordination and integration of care.Conclusions: Our study implies that care groups are able to provide similar quality of diabetes care for diabetes patients with and without co-morbidity. Considering the expected developments regarding additional disease management programmes in care groups, it is of importance to monitor quality of care, including patient experiences, for all chronic diseases. It will then become clear whether accountable provider-led organisations such as care groups are able to ensure quality of care for the increasing number of patients with multiple chronic conditions.

Objectives. We examined health-related quality of life in adults who became physically active at recommended levels over a 10-year period compared with adults with different physical activity patterns. Methods. We examined men and women aged 26 to 70 years (mean [SD] = 47.4 [10.1]) in the Doetinchem Cohort Study 3 times between 1995 and 2009. We distinguished participants who became physically active (n = 618), remained active (n = 1286), remained inactive (n = 727), became physically inactive (n = 535), or with varying activity levels (n = 455) over 10 years. We used multivariable linear regression analyses to determine differences in health-related quality of life (survey similar to the 36-Item Short-Form Health Survey) at 10-year follow-up. Results. Adults who became physically active reported better physical functioning, vitality, and general health after 10 years than did persistently inactive adults and adults who became inactive. They also reported less bodily pain and better social functioning than adults who became inactive. No differences were observed with adults who remained active or with varying activity levels. Conclusions. Adopting a physically active lifestyle may result in a better health-related quality of life, comparable to remaining physically active over 10 years.

Study Design. Prospective cohort study. Objective. We explored long-term associations between physical load exposure and chronic low back pain (LBP) using data from an ongoing population-based cohort study. Summary of Background Data. Physical load in work or daily life is often studied in relation to LBP. Most studies are cross-sectional or have a limited follow-up. Methods. Between 1993 and 2007, 4738 men and women aged 25 to 64 years were measured maximal 3 times with 5-year intervals. Physical load in daily activities (9 items, e. g., awkward postures, mechanical vibration) was assessed by questionnaire at 2 measurements and chronic LBP 3 times. Physical load exposure at both measurements was described. Multivariable logistic regression analyses were adjusted for sex, age, education, work status, body mass index, physical activity, and smoking. Results. Despite stable prevalence rates of physical load exposure, about 50% of the participants exposed changed their exposure during a 5-year period. 7.2% of the participants reported awkward postures at 2 measurements, 8.4% at the first measurement only, and 6.8% at the second measurement only. Among all physical load variables, associations with chronic LBP were found only for awkward postures. An increased risk for incident chronic LBP was found in participants exposed twice to awkward postures. In contrast, only single exposure to awkward postures was associated with persistence of chronic LBP. Conclusion. Awkward postures were associated with chronic LBP in the general population. Exposure to awkward postures at 2 measurements with 5 years in between did increase the risk for incident chronic LBP, but not for persistence of chronic LBP.

Musculoskeletal complaints (MSC) are common among children, often persist into adolescence, and increase the risk of MSC in adulthood. Knowledge regarding determinants of MSC among children is limited. The aim of this study was to determine the prevalence of MSC at age 11 years and to examine associations with sociodemographic factors, growth and development factors, mental health, tiredness, and lifestyle. Data from a Netherlands birth cohort study, the Prevention and Incidence of Asthma and Mite Allergy (PIAMA) Study (n = 2,638), were used (1996-2009). MSC were defined as complaints about the back, an upper extremity, a lower extremity, or any of these sites. Logistic regression analyses using a forward stepwise procedure were performed on multiply imputed data. The 1-year period prevalences of back, upper extremity, and lower extremity complaints that lasted at least 1 month were 2.8%, 4.8%, and 10.9%, respectively. Only poorer mental health was consistently associated with all 3 types of complaints. Poorer mental health, daytime tiredness, early pubertal development, being physically active at age 11 years, and weight-for-height z score were associated with having any MSC. This study showed that MSC, especially lower extremity complaints, are common among 11-year old-children and that only poorer mental health status is associated with MSC at all anatomic sites.

To present an overview of the prevalence of multimorbidity and comorbidity of chronic diseases in the Dutch population.Data analysis.Data from the Netherlands Information Network of General Practice (LINH), a large representative network of general practices over a period of 7 years (2002-2008) were analysed. Multimorbidity was defined as a patient having been diagnosed with two or more of 29 chronic diseases in the general practitioner's electronic medical records system. The prevalence of chronic diseases and multimorbidity was calculated for the total population and subsequently by sex and age groups. For the 10 most prevalent diseases in the elderly, clustering and comorbidity of chronic diseases in patients 55 years and older were analysed.Almost 13% of the total Dutch population and 37% of patients 55 years and older had 2 or more chronic diseases. More than 70% of the patients aged 55 years and older who had 1 of the 10 specific chronic diseases also had an additional chronic disease. Most disease pairs occurred more frequently than expected based on independency (clustering), particularly the combinations depression and anxiety disorder, coronary heart disease and heart failure, and COPD and heart failure. The five most common combinations of conditions associated with a certain disease concerned only a limited portion (30%) of all disease comorbidity. This means that 70% of patients with a chronic disease had 1 or more additional diseases not included in the 5 most frequently occurring diseases.Multimorbidity was identified in over two-thirds of the elderly with frequently occurring chronic diseases. Comorbidity encompassed many different combinations of chronic diseases. In light of an ageing population, multimorbidity should increasingly be taken into account when delivering healthcare, in medical research and in defining healthcare policies.

Objectives To evaluate the cost effectiveness, cost utility and cost benefit of a workplace intervention compared with usual care for sick-listed employees with distress. Methods An economic evaluation was conducted alongside a randomised controlled trial. Employees with distress and who were sick-listed for 2–8 weeks were randomised to a workplace intervention (n=73) or to usual care (n=72). The workplace intervention is a stepwise process involving the sick-listed employee and their supervisor, aimed at formulating a consensus-based plan for return to work (RTW). The effect outcomes were lasting RTW and quality-adjusted life years (QALYs). Healthcare utilisation was measured over 12 months. Cost effectiveness analyses (CEA) and cost utility analyses (CUA) were conducted from the societal perspective and cost benefit analyses (CBA) from the employer perspective. Bootstrapping techniques were used to estimate cost and effect differences, related CIs, and cost effectiveness and cost utility ratios. Cost effectiveness planes were presented and subgroup analyses were performed. Results CEA and CUA revealed no statistically significant differences in lasting RTW, QALYs or costs. The CBA indicated a statistically significant higher cost of occupational health services in the workplace intervention group. The workplace intervention was not cost effective according to the CEA, CUA and CBA. Conclusions Widespread implementation of the workplace intervention for sick-listed employees with distress is not recommended because there was no economic benefit compared with usual care. Future trials should confirm if the workplace intervention is cost effective for the subgroup employees who intended to return to work despite symptoms. This trial has been registered at the Dutch National Trial Register ISRCTN92307123.