OBJECTIVE: The aim of this study was to examine whether shared and open-plan offices are associated with more days of sickness absence than cellular offices. METHODS: The analysis was based on a national survey of Danish inhabitants between 18-59 years of age (response rate 62%), and the study population consisted of the 2403 employees that reported working in offices. The different types of offices were characterized according to self-reported number of occupants in the space. The log-linear Poisson model was used to model the number of self-reported sickness absence days depending on the type of office; the analysis was adjusted for age, gender, socioeconomic status, body mass index, alcohol consumption, smoking habits, and physical activity during leisure time. RESULTS: Sickness absence was significantly related to having a greater number of occupants in the office (P<0.001) when adjusting for confounders. Compared to cellular offices, occupants in 2-person offices had 50% more days of sickness absence [rate ratio (RR) 1.50, 95% confidence interval (95% CI) 1.13-1.98], occupants in 3-6-person offices had 36% more days of sickness absence (RR 1.36, 95% CI 1.08-1.73), and occupants in open-plan offices (>6 persons) had 62% more days of sickness absence (RR 1.62, 95% CI 1.30-2.02). CONCLUSION: Occupants sharing an office and occupants in open-plan offices (>6 occupants) had significantly more days of sickness absence than occupants in cellular offices.
The association between attention-deficit/hyperactivity (ADHD) symptoms and self-employment
Attention-deficit/hyperactivity (ADHD) symptoms have been associated with the decision to become self-employed. Although these symptoms are generally regarded as disadvantageous, there may also be a bright side. To our knowledge, however, there has been no systematic, epidemiological evidence to support this claim. This paper examines the association between ADHD symptoms and self-employment in a population-based sample from the STAGE cohort of the Swedish Twin Registry (N = 7208). For replication, we used a sample of Dutch students who participated in the Global University Entrepreneurial Spirit Students' Survey (N = 13,112). In the Swedish sample, we found a positive association with self-employment for both general ADHD symptoms [odds ratio (OR) 1.13; 95 % confidence intervals (CI) 1.04-1.23] and hyperactivity symptoms [OR 1.19; 95 % CI 1.08-1.32], whereas no association was found for attention-deficit symptoms [OR 0.99; 95 % CI 0.89-1.10]. The positive association between hyperactivity and self-employment was replicated in the Dutch student sample [OR 1.09; 95 % CI 1.03-1.15]. Our results show that certain aspects of ADHD, in particular hyperactivity, can have a bright side, as they are positively associated with self-employment.
Homebound: The Long-Term Rise in Time Spent at Home Among U.S. Adults
The changes in daily life induced by the COVID-19 pandemic brought renewed attention to longstanding concerns about social isolation in the United States. Despite the links between the physical setting for individuals' daily lives and their connections with family, friends, and the various institutions of collective life, trends in where American adults spend their time have been largely overlooked as researchers have focused on how and with whom they spend their time. This article analyzes data from the American Time Use Survey over a timeframe spanning nineteen years and argues that the changes in Americans' daily routines induced by the COVID era should be seen as an acceleration of a longer-term trend: the rise of time spent at home. Results show that from 2003 to 2022, average time spent at home among American adults has risen by one hour and 39 minutes in a typical day. Time at home has risen for every subset of the population and for virtually all activities. Preliminary analysis indicates that time at home is associated with lower levels of happiness and less meaning, suggesting the need for enhanced empirical attention to this major shift in the setting of American life.
Homebound: The Long-Term Rise in Time Spent at Home Among U.S. Adults
The changes in daily life induced by the COVID-19 pandemic brought renewed attention to longstanding concerns about social isolation in the United States. Despite the links between the physical setting for individuals' daily lives and their connections with family, friends, and the various institutions of collective life, trends in where American adults spend their time have been largely overlooked as researchers have focused on how and with whom they spend their time. This article analyzes data from the American Time Use Survey over a timeframe spanning nineteen years and argues that the changes in Americans' daily routines induced by the COVID era should be seen as an acceleration of a longer-term trend: the rise of time spent at home. Results show that from 2003 to 2022, average time spent at home among American adults has risen by one hour and 39 minutes in a typical day. Time at home has risen for every subset of the population and for virtually all activities. Preliminary analysis indicates that time at home is associated with lower levels of happiness and less meaning, suggesting the need for enhanced empirical attention to this major shift in the setting of American life.
Stuffy offices can halve cognitive scores
The bad air quality found in many office buildings may also affect performance, health.
Smartphone interactions and mental well-being in young adults: A longitudinal study based on objective high-resolution smartphone data
Aims: To investigate the effects of objectively measured smartphone interactions on indicators of mental well-being among men and women in a population of young adults. Methods: A total of 816 young adults (mean±SD age 21.6±2.6 years; 77% men) from the Copenhagen Network Study were followed with objective recordings of smartphone interactions from calls, texts and social media. Participants self-reported on loneliness, depressive symptoms and disturbed sleep at baseline and in a four-month (interquartile range 75–163 days) follow-up survey. Multiple linear regression was used to analyse the association between smartphone interactions and mental well-being separately for men and women. Results: A higher number of smartphone interactions was associated with lower levels of loneliness at baseline and the same pattern appeared for depressive symptoms, although this was less pronounced. A high level of smartphone interaction was associated with lower levels of disturbed sleep for men, but not for women. In follow-up analyses, a high versus low level of smartphone interaction was associated with an increase in loneliness and depressive symptoms over time for women, but not for men. Conclusions: Smartphone interactions are related to better mental well-being, which may be attributed to the beneficial effects of an underlying social network. Over time, accommodating a large network via smartphone communication might, however, have negative effects on mental well-being for women.
Can Facebook Ads Prevent Malaria? Two Field Experiments in India
Two field experiments evaluate a nationwide Facebook malaria prevention campaign in India, finding effects concentrated in urban, more advantaged populations. , This study evaluates a nationwide malaria prevention campaign delivered through social media in India using a district-level cluster-randomized controlled trial. We combine two survey samples ([Formula: see text]) with administrative health records to assess effects on offline malaria-related behaviors and health outcomes. In the survey data, average treatment effects on protective behaviors, care-seeking intentions, and self-reported malaria incidence were small and insignificant. Administrative data similarly showed no detectable effect on overall recorded incidence. Post hoc heterogeneity analysis, however, suggests that detectable effects were concentrated among households with higher socioeconomic status (SES) and in urban areas: For higher-SES households, bednet use increased during the campaign and self-reported malaria incidence declined afterward. In administrative records, monthly malaria incidence in urban areas fell by 6.2 cases per million people, a 33% decline relative to the pretreatment rate. By contrast, estimates for lower-SES households and rural areas, which face higher malaria risk, were small and insignificant. In a second individual-level feed experiment ([Formula: see text]) that made ad delivery and exposure more comparable across SES groups, the ads increased bednet use and timely treatment-seeking intentions, with no detectable differences by SES. These patterns are consistent with delivery frictions contributing to the campaign’s limited average impact, highlighting the importance of better targeting and measurement in social media public health campaigns. History: Catherine Tucker served as the senior editor. Funding: This research has received funds from the World Bank’s Development Impact Department (DIME) and Facebook’s Campaigns for a Healthier World initiative. Supplemental Material: The online appendices and data files are available at https://doi.org/10.1287/mksc.2024.0929 .
Researchers Confront an Epidemic of Loneliness (Published 2016)
Social isolation is linked to physical illness and to functional and cognitive decline. Programs to reach out to the elderly are growing, particularly in Britain.
Medical Care Situation of People with Myalgic Encephalomyelitis/Chronic Fatigue Syndrome in Germany
Background and Objective: Myalgic Encephalomyelitis/Chronic Fatigue Syndrome (ME/CFS) is a severe illness with the hallmark symptom of Post-Exertional Malaise (PEM). Currently, no biomarkers or established diagnostic tests for ME/CFS exist. In Germany, it is estimated that over 300,000 people are affected by ME/CFS. Research from the United States and the UK shows that patients with ME/CFS are medically underserved, as they face barriers to medical care access and are dissatisfied with medical care. The first aim of the current research was to investigate whether patients with ME/CFS are medically underserved in Germany in terms of access to and satisfaction with medical care. Second, we aimed at providing a German-language version of the DePaul Symptom Questionnaire Short Form (DSQ-SF) as a tool for ME/CFS diagnostics and research in German-speaking countries. Materials and Methods: The current research conducted an online questionnaire study in Germany investigating the medical care situation of patients with ME/CFS. The questionnaire was completed by 499 participants who fulfilled the Canadian Consensus Criteria and reported PEM of 14 h or longer. Results: Participants frequently reported geographic and financial reasons for not using the available medical services. Furthermore, they reported low satisfaction with medical care by the physician they most frequently visited due to ME/CFS. The German version of the DSQ-SF showed good reliability, a one-factorial structure and construct validity, demonstrated by correlations with the SF-36 as a measure of functional status. Conclusions: Findings provide evidence that patients with ME/CFS in Germany are medically underserved. The German-language translation of the DSQ-SF provides a brief, reliable and valid instrument to assess ME/CFS symptoms to be used for research and clinical practice in German-speaking countries. Pathways to improve the medical care of patients with ME/CFS are discussed.
Loneliness in the United States: A 2018 National Panel Survey of Demographic, Structural, Cognitive, and Behavioral Characteristics
Purpose: To inform health behavior intervention design, we sought to quantify loneliness and its correlates, including social media use, among adults in the United States. Design: Cross-sectional research panel questionnaire. Setting: Responses were gathered from individuals in all 50 states surveyed via Internet from February 2018 to March 2018. Participants: A total of 20 096 US panel respondents aged 18+. Measures: The University of California at Los Angeles (UCLA) Loneliness Scale (theoretical score range = 20-80) was administered along with demographic, structural, cognitive, and behavioral items. Analysis: After calibrating the sample to population norms, we conducted multivariable linear regression analysis. Results: The overall mean survey-weighted loneliness score was 44.03 (standard error = 0.09). Social support (standardized β [sβ] = −0.19) and meaningful daily interactions (sβ = −0.14) had the strongest associations with lower loneliness, along with reporting good relationships, family life, physical and mental health, friendships, greater age, being in a couple, and balancing one’s daily time. Social anxiety was most strongly associated with greater loneliness (sβ = +0.20), followed by self-reported social media overuse (sβ = +0.05) and daily use of text-based social media (sβ = +0.03). Conclusion: Our findings confirm that loneliness decreases with age, and that being in a relationship as well as everyday behavioral factors in people’s control are most strongly related to loneliness. Population health promotion efforts to reduce loneliness should focus on improving social support, decreasing social anxiety, and promoting healthy daily behaviors.
Opinion | Yes, Your Sleep Schedule Is Making You Sick (Published 2017)
What jet lag, insomnia and mental illness have in common.
Cyclists 'exposed to less air pollution than drivers' on busy routes
Study shows people in cars and buses spend longer in toxic air, as do walkers on main roads
Patterns of Utilization of Medical Care and Perceptions of the Relationship between Doctor and Patient with Chronic Illness Including Chronic Fatigue Syndrome
To what extent do personal constructs affect the relationship between doctor and patient when the ill patient does not readily recover with treatment? Questionnaires were returned anonymously by 609 patients with a self-reported diagnosis of chronic fatigue syndrome, who were considered chronically ill. Findings were compared with those of an earlier study of a population of 397 general medical patients. The chronically ill patients lost an average of 65 days of work per year due to illness compared to general medical patients who missed six or fewer days per year because they were ill. The chronically ill patients also reported a 66% higher frequency of iatrogenic illness, spent more money on health care, took more medication, saw more specialists, and were more litigious than the general medical population. Research suggested several patterns of relationships between doctors and patients, and attitudes to health and illness, which may alert doctors to patients' perceptions, beliefs, encoded constructs, and patterns of relating that affect responses to treatment. More attention by doctors to patients who are experiencing the stress of chronic illness is indicated.
Swedish Six-Hour Workday Runs Into Trouble: It’s Too Costly
Swedes looking forward to a six-hour workday just got some bad news: the costs outweigh the benefits.
Does Using Social Media Jeopardize Well-Being? The Importance of Separating Within- From Between-Person Effects
Social networking sites (SNS) are frequently criticized as a driving force behind rising depression rates. Yet empirical studies exploring the associations between SNS use and well-being have been predominantly cross-sectional, while the few existing longitudinal studies provided mixed results. We examined prospective associations between SNS use and multiple indicators of well-being in a nationally representative sample of Dutch adults ( N ∼ 10,000), comprising six waves of annual measures of SNS use and well-being. We used an analytic method that estimated prospective effects of SNS use and well-being while also estimating time-invariant between-person associations between these variables. Between individuals, SNS use was associated with lower well-being. However, within individuals, year-to-year changes in SNS use were not prospectively associated with changes in well-being (or vice versa). Overall, our analyses suggest that the conclusions about the causal impact of social media on rising mental health problems in the population might be premature.
Associations between social media use and loneliness in a cross-national population: do motives for social media use matter?
Background: We aimed to examine the association between social media use and loneliness two years after the COVID-19 pandemic outbreak. Methods: Participants were 1649 adults who completed a cross-sectional online survey disseminated openly in Norway, United Kingdom, USA, and Australia between November 2021 and January 2022. Linear regressions examined time spent on social media and participants’ characteristics on loneliness, and interactions by motives for social media use. Results: Participants who worried more about their health and were younger, not employed, and without a spouse or partner reported higher levels of loneliness compared to their counterparts. More time spent on social media was associated with more loneliness (β = 0.12, p < 0.001). Three profile groups emerged for social media use motives: 1) social media use motive ratings on avoiding difficult feelings higher or the same as for maintaining contact; 2) slightly higher ratings for maintaining contact; and 3) substantially higher ratings for maintaining contact. Time spent on social media was significant only in motive profile groups 2 and 3 (β = 0.12 and β = 0.14, both p < 0.01). Conclusions: Our findings suggest that people who use social media for the motive of maintaining their relationships feel lonelier than those who spend the same amount of time on social media for other reasons. While social media may facilitate social contact to a degree, they may not facilitate the type of contact sought by those who use social media primarily for this reason.
Increases in Serious Psychological Distress among Ontario Students between 2013 and 2017: Assessing the Impact of Time Spent on Social Media
Objective: The objective of the current research was to examine the association between time spent on social media and serious psychological distress between 2013 and 2017, a period when the rates of both were trending upward. Methods: The current study analyzed population-based data from 3 waves of the Ontario Student Drug Use and Health Survey ( N = 15,398). Multivariate logistic regression models were used to examine the association between time spent on social media and serious psychological distress controlling for theoretically relevant covariates. Interactions were tested to assess whether the association changed over time. Results: The prevalence of serious psychological distress increased from 10.9% in 2013 to 16.8% in 2017 concomitantly with substantial increases in social media usage, especially at the highest levels. In the multivariate context, we found a significant interaction between social media use and the survey year which indicates that the association between time spent on social media and psychological distress has decreased from 2013 to 2017. Conclusion: Although both social media use and psychological distress increased between 2013 and 2017, the interaction between these variables indicates that the strength of this association has decreased over time. This finding suggests that the higher rate of heavy social media use in 2017 compared to 2013 is not actually associated with the higher rate of serious psychological distress during the same time period. From a diffusion of innovation perspective, it is possible that more recent adopters of social media may be less prone to psychological distress. More research is needed to understand the complex and evolving association between social media use and psychological distress. Researchers attempting to isolate the factors associated with the recent increases in psychological distress could benefit from broadening their investigation to factors beyond time spent on social media.