Exploring reasons for high levels of food insecurity and low fruit and vegetable consumption among university students post-COVID-19.

High rates of food insecurity and low consumption of fruit and vegetables among university students have been observed prior to the COVID-19 pandemic and intensified during the pandemic. This study aimed to investigate food insecurity among university students and its associations with sociodemographic factors, fruit and vegetable consumption behaviours, and preferred campus programs to address these issues. A convenience sample of 237 Australian university students completed a cross-sectional online survey from October to December 2022. Food insecurity was assessed using the 10-item US Adult Food Security Module, applying the Canadian classification scheme. Sociodemographic variables, fruit and vegetable consumption behaviours, and perceptions of fruit and vegetable access and their affordability were included in the survey. Students were also asked to select the most suitable program(s) and provide reasons for their choice using open-ended questions. Approximately half of respondents (46.4%) were identified as food insecure. The proportion of students meeting the recommended intake of vegetables as specified in the Australian Dietary Guidelines was very low (5.1%) compared with fruit (46.2%). Low fruit consumption was significantly associated with food insecurity (OR = 1.81; 95%CI 1.03, 3.18, p = 0.038). Factors such as the perceived lower accessibility and higher price of fruit and vegetables were significantly associated with higher odds of food insecurity. In terms of potential programs, a free fruit and vegetable campaign was the most popular program, with affordability and physical access being the most frequently cited reasons. These findings suggest that food insecurity is associated with low fruit and vegetable consumption in university students. Therefore, transforming campus food environments and developing food policies at the university level must be considered to address food and nutrition security in university students.

The evolution of time use approaches for understanding activities of daily living in a public health context.

This Supplement aims to raise awareness and knowledge of how time use surveys may be applied to studying health behaviours such as physical activity, sedentary behaviour, and eating. This commentary provides an overview and discussion of the papers in this Supplement about time use and health research, and considers possible future directions for the field.

Prevalence and correlates of domain-specific sedentary time of adults in the Netherlands: findings from the 2006 Dutch time use survey.

BACKGROUND: Relatively little is known about how total sedentary time is accumulated in different domains and if correlates of sedentary time differ across domains. Time use surveys present a unique opportunity to study sedentary time in more detail. This study aimed to use the 2006 Dutch time use survey to 1) describe the (sedentary) time use of Dutch adults, and 2) explore socio-demographic and health-related correlates of total (non-occupational) and domain-specific sedentary time. METHODS: The Dutch time use survey randomly selected participants from a population-representative research sample of Dutch households. Participants reported daily activities on seven consecutive days using a time use diary and socio-demographic and health-related characteristics during telephone interviews. All reported activities were coded for activity domain (i.e. education; household; leisure; occupation; sleep; transport; voluntary work) and activity intensity (i.e. sedentary; light intensity physical activity; moderate-to-vigorous intensity physical activity). As occupational activities were not specified in sufficient detail, the intensity of these activities was unknown. We described the time spent in different domains and intensities, and assessed the socio-demographic and health-related correlates of high levels of total (non-occupational), household, leisure, and transport sedentary time using logistic regression analyses. RESULTS: The final dataset consisted of 1614 adult (18+) participants. On average, participants spent 8.0 h (61.1%) of their daily waking non-occupational time on sedentary activities. More than 87% of leisure time was spent sedentary. Men, participants aged 18-34 and 65+ years, full-time employed participants and obese participants had higher levels of total non-occupational sedentary time. The correlates of household, leisure and transport sedentary time differed by domain. CONCLUSIONS: This study reports high levels of total non-occupational sitting time of Dutch adults. The large proportion of sedentary leisure activities might indicate the potential of strategies aiming to reduce leisure sedentary time. The difference in correlates across sedentary behaviour domains demonstrates the importance of targeting these domains differently in interventions and policies.

Overselling Sit-Stand Desks: News Coverage of Workplace Sitting Guidelines.

The first quantitative, specific recommendations for sitting time at work were released in June 2015. This paper examines the implications of news coverage received by this position statement. Media reports about statement published May, 31-June, 29, 2015 were analyzed according to five recommendations and three caveats extracted from the guidelines' press release. Information about how physical activity was framed and mentions of conflicts of interest were recorded. Of 58 news reports, nine reported all five recommendations in the position paper. The topline recommendation (two hours daily of standing and light activity) was reported in all articles. Alleviating musculoskeletal discomfort by sitting less was not reported by 72% of reports. Physical activity was mentioned in 32 reports: 69% said physical activity did not attenuate the risks of prolonged sitting. No reports mentioned any potential conflicts of interest despite co-author links to sit-stand desk industry. These results demonstrate the need to balance public and market demands for public health guidance around sitting; and could encourage more accurate communication of research outcomes. The physical activity component of the "move more and sit less" message requires greater efforts to raise its public salience.

Is this health campaign really social marketing? A checklist to help you decide.

ISSUE ADDRESSED: Social marketing (SM) campaigns can be a powerful disease prevention and health promotion strategy but health-related campaigns may simply focus on the "promotions" communication activities and exclude other key characteristics of the SM approach. This paper describes the application of a checklist for identifying which lifestyle-related chronic disease prevention campaigns reported as SM actually represent key SM principles and practice. METHODS: A checklist of SM criteria was developed, reviewed and refined by SM and mass media campaign experts. Papers identified in searches for "social marketing" and "mass media" for obesity, diet and physical activity campaigns in the health literature were classified using the checklist. RESULTS: Using the checklist, 66.6% of papers identified in the "SM" search and 39% of papers identified from the "mass media" search were classified as SM campaigns. Inter-rater agreement for classification using the abstract only was 92.1%. CONCLUSIONS: Health-related campaigns that self-identify as "social marketing" or "mass media" may not include the key characteristics of a SM approach. Published literature can provide useful guidance for developing and evaluating health-related SM campaigns, but health promotion professionals need to be able to identify what actually comprises SM in practice. SO WHAT?: SM could be a valuable strategy in comprehensive health promotion interventions, but it is often difficult for non-experts to identify published campaigns that represent a true SM approach. This paper describes the application of a checklist to assist policy makers and practitioners in appraising evidence from campaigns reflecting actual SM in practice. The checklist could also guide reporting on SM campaigns.

Low physical activity, high television viewing and poor sleep duration cluster in overweight and obese adults; a cross-sectional study of 398,984 participants from the UK Biobank.

BACKGROUND: An unhealthy lifestyle is one of the greatest contributors to obesity. A number of behaviours are linked with obesity, but are often measured separately. The UK Biobank cohort of >500,000 participants allows us to explore these behaviours simultaneously. We therefore aimed to compare physical activity, television (TV) viewing and sleep duration across body mass index (BMI) categories in a large sample of UK adults. METHODS: UK Biobank participants were recruited and baseline measures were taken between 2007 and 2010 and data analysis was performed in 2015. BMI was measured objectively using trained staff. Self-report questionnaires were used to measure lifestyle behaviours including the international physical activity questionnaire (IPAQ-short form) for physical activity. During data analysis, six groups were defined based on BMI; 'Underweight' (n = 2026), 'Normal weight' (n = 132,372), 'Overweight (n = 171,030), 'Obese I' (n = 67,903), 'Obese II' (n = 18,653) and 'Obese III' (n = 7000). The odds of reporting unhealthy lifestyle behaviours (low physical activity, high TV viewing or poor sleep duration) were compared across BMI groups using logistic regression analysis. RESULTS: Overweight and obese adults were more likely to report low levels of physical activity (≤967.5 MET.mins/wk) ('Overweight'-OR [95% CI]: 1.23 [1.20 to 1.26], 'Obese I' 1.66 [1.61-1.71], 'Obese II' 2.21 [2.12-2.30], and 'Obese III' 3.13 [2.95 to 3.23]) compared to 'Normal weight' adults. The odds of reporting high TV viewing (3 h/day) was greater in 'Overweight' (1.52 [1.48 to 1.55]) and obese adults ('Obese I' 2.06 [2.00-2.12], 'Obese II' 2.69 [2.58-2.80], 'Obese III' 3.26 [3.07 to 3.47]), and poor sleep duration (<7, >8 h/night) was higher in 'Overweight' (1.09 [1.07 to 1.12]) and obese adults ('Obese I' 1.31 [1.27-1.34], 'Obese II' 1.50 [1.44-1.56], 'Obese III' (1.78 [1.68 to 1.89]) compared to the 'Normal weight' group. These lifestyle behaviours were clustered, the odds of reporting simultaneous low physical activity, high TV viewing and poor sleep (unhealthy behavioural phenotype) was higher than reporting these behaviours independently, in overweight and obese groups. 'Obese III' adults were almost six times more likely (5.47 [4.96 to 6.05]) to report an unhealthy behavioural phenotype compared to the 'Normal weight' group. CONCLUSIONS: Overweight and obese adults report low levels of physical activity, high TV viewing and poor sleep duration. These behaviours seem to cluster and collectively expose individuals to greater risk of obesity. Multiple lifestyle behaviours should be targeted in future interventions.

Patterns of sitting and mortality in the Nord-Trøndelag health study (HUNT).

BACKGROUND: Current evidence concerning sedentary behaviour and mortality risk has used single time point assessments of sitting. Little is known about how changes in sitting levels over time affect subsequent mortality risk. AIM: To examine the associations between patterns of sitting time assessed at two time points 11 years apart and risk of all-cause and cardio-metabolic disease mortality. METHODS: Participants were 25,651 adults aged > =20 years old from the Nord-Trøndelag Health Study with self-reported total sitting time in 1995-1997 (HUNT2) and 2006-2008 (HUNT3). Four categories characterised patterns of sitting: (1) low at HUNT2/ low at HUNT3, 'consistently low sitting'; (2) low at HUNT2/high at HUNT3, 'increased sitting'; (3) high at HUNT2/low at HUNT3, 'reduced sitting'; and (4) high at HUNT2 /high at HUNT3, 'consistently high sitting'. Associations of sitting pattern with all-cause and cardio-metabolic disease mortality were analysed using Cox regression adjusted for confounders. RESULTS: Mean follow-up was 6.2 years (158880 person-years); 1212 participants died. Compared to 'consistently low sitting', adjusted hazard ratios for all-cause mortality were 1.51 (95% CI: 1.28-2.78), 1.03 (95% CI: 0.88-1.20), and 1.26 (95% CI: 1.06-1.51) for 'increased sitting', 'reduced sitting' and 'consistently high sitting' respectively. CONCLUSIONS: Examining patterns of sitting over time augments single time-point analyses of risk exposures associated with high sitting time. Whilst sitting habits can be stable over a long period, life events (e.g., changing jobs, retiring or illness) may influence sitting trajectories and therefore sitting-attributable risk. Reducing sitting may yield mortality risks comparable to a stable low-sitting pattern.

Are motivational signs to increase stair use a thing of the past? A multi-building study.

Issue addressed Only half of Australia's adult population is sufficiently physical active. One method thought to increase incidental physical activity at work is the use of stair-promoting interventions. Stairs are readily available and stair climbing is considered vigorous physical activity. Motivational signs have been extensively and effectively trialled to increase stair use, but are they suitable for contemporary populations? Methods Participants were occupants of three selected University of Sydney buildings using the elevators or stairs. Infrared people counters were installed to monitor stair and elevator use for 24 h/day during two baseline weeks, followed by two intervention weeks, where motivational and directional signs were placed at points of choice. Results At baseline there was a large between-building variation in the change in stair to elevator proportion, where we observed a small increase in two buildings (81-84%, odds ratio (OR): 1.16 (1.09, 1.23), and 26-27%, OR: 1.09 (1.03, 1.15)), and a decrease (30-25%, OR: 0.75 (0.72, 0.77) in the third building. Conclusions Differences in stair use among buildings could be due to building design and function. Motivational and directional signs to promote stair use showed small or nil effects. The future of interventions promoting stair use in occupational settings may need more interactive or personalised intervention methods. So what? The implications of this study are that posters to promote stair use might be a thing of the past and this should be considered in future workplace health promotion efforts to increase physical activity. More novel and interactive methods using new media are recommended.

Sitting ducks face chronic disease: an analysis of newspaper coverage of sedentary behaviour as a health issue in Australia 2000-2012.

Issue addressed This study examines how sedentary behaviour (too much sitting) was covered as a health issue by Australian newspapers and how physical activity was framed within this newspaper coverage. Methods Articles featuring sedentary behaviour published in Australian newspapers between 2000 and 2012 were analysed for content and framing. Main outcome measures were volume, number and content of newspaper articles; framing and types of sedentary behaviour; responsibility for the problem of and solutions to high levels of sedentary behaviour; and physical activity mentions and how it was framed within sedentary behaviour coverage. Results Out of 48 articles, prolonged sitting was framed as bad for health (52%) and specifically as health compromising for office workers (25%). Adults who sat a lot were framed as 'easy targets' for ill health (21% of headlines led with 'sitting ducks' or 'sitting targets'). Prolonged sitting was framed as an issue of individual responsibility (>90%) with less mention of environmental and sociocultural contributors. Thirty-six of 48 articles mentioned physical activity; 39% stated that being physically active does not matter if a person sits for prolonged periods of time or that the benefits of physical activity are undone by too much sitting. Conclusions News coverage should reflect the full socio-ecological model of sedentary behaviour and continually reinforce the independent and well-established benefits of health-enhancing physical activity alongside the need to limit prolonged sitting. So what? It is important that the entire 'move more, sit less, every day!' message is communicated by news media.

Too much sitting and all-cause mortality: is there a causal link?

BACKGROUND: Sedentary behaviours (time spent sitting, with low energy expenditure) are associated with deleterious health outcomes, including all-cause mortality. Whether this association can be considered causal has yet to be established. Using systematic reviews and primary studies from those reviews, we drew upon Bradford Hill's criteria to consider the likelihood that sedentary behaviour in epidemiological studies is likely to be causally related to all-cause (premature) mortality. METHODS: Searches for systematic reviews on sedentary behaviours and all-cause mortality yielded 386 records which, when judged against eligibility criteria, left eight reviews (addressing 17 primary studies) for analysis. Exposure measures included self-reported total sitting time, TV viewing time, and screen time. Studies included comparisons of a low-sedentary reference group with several higher sedentary categories, or compared the highest versus lowest sedentary behaviour groups. We employed four Bradford Hill criteria: strength of association, consistency, temporality, and dose-response. Evidence supporting causality at the level of each systematic review and primary study was judged using a traffic light system depicting green for causal evidence, amber for mixed or inconclusive evidence, and red for no evidence for causality (either evidence of no effect or no evidence reported). RESULTS: The eight systematic reviews showed evidence for consistency (7 green) and temporality (6 green), and some evidence for strength of association (4 green). There was no evidence for a dose-response relationship (5 red). Five reviews were rated green overall. Twelve (67 %) of the primary studies were rated green, with evidence for strength and temporality. CONCLUSIONS: There is reasonable evidence for a likely causal relationship between sedentary behaviour and all-cause mortality based on the epidemiological criteria of strength of association, consistency of effect, and temporality.

Application of ecological momentary assessment in workplace health evaluation.

Issue addressed Ecological momentary assessment (EMA) involves repeated sampling of current behaviours and experiences in real-time at random intervals. EMA is an innovative measurement method for program evaluation, using mobile technology (e.g. smartphones) to collect valid contextual health promotion data with good compliance. The present study examined the feasibility of using EMA for measuring workplace health outcomes. Methods Twenty-two office-based adults were prompted at four random times per work-day during a 5-day period to respond to a short survey via a smartphone application. The prompting stopped when participants had either responded 12 times or the 5-day period had ended. The questions pertained to posture, task currently being undertaken, social interactions, musculoskeletal issues, mood, and perceptions of engagement and creativity. Results In total 156 responses were collected. Nine participants completed all 12 surveys; the average completion rate was 58% (7/12). The average completion time was initially 50s and reduced to 24s during the later surveys. On average the participants were sitting and standing in 79% and 14% of survey instances, respectively. The participants reported they were working alone at their desks in 68% of instances. Reported productivity and stress were on average 6 and 3 out of 10, respectively, but varied up to 6-8 points within one person, hence the method appears sensitive to temporal variations in perceptions and mood. Conclusion Given the rich real-time data, minimal participant burden and use of readily available technology, EMA has substantial potential in workplace health promotion evaluation through the measurement of participants' well being, activities, and behaviour change. So what? An in-the-moment method using readily available mobile technology to assess participants' perceptions, mood and activity that provides rich information with minimal participant burden is a promising way to evaluate future health promotion programs.

Validity and responsiveness of four measures of occupational sitting and standing.

BACKGROUND: Evidence on the detrimental health effects of prolonged sedentary behavior is accumulating. Interventions need to have a specific focus on sedentary behavior in order to generate clinically meaningful decreases in sedentary time. When evaluating such intervention, the question whether a participant improved or deteriorated their behavior is fundamental and instruments that are able to detect those changes are essential. Therefore, the aim of this study was to determine the criterion validity against activPAL and responsiveness to change of two activity monitors (ActiGraph and activPAL) and two questionnaires for the assessment of occupational sitting and standing time. METHODS: 42 participants took part in the Stand@Work intervention trial. Six (T0) and two (T1) weeks before they received a sit-stand workstation and three weeks thereafter (T2), participants wore an ActiGraph and an activPAL activity monitor, and completed the Occupational Sitting and Physical Activity Questionnaire (OSPAQ) and the Workforce Sitting Questionnaire (WSQ). The activPAL was used as the criterion validity measure. RESULTS: The ActiGraph showed strong validity for occupational sedentary time at T0 and T1 (Spearman rho = 0.77 and 0.69), but its validity dropped substantially after introduction of the sit-stand workstation (rho = 0.19). Correlations between occupational light-intensity activity assessed by the ActiGraph and occupational standing time assessed by the activPAL varied between 0.25-0.63. The occupational sitting validity correlation of the OSPAQ and WSQ varied from 0.35-0.48 and 0.25-0.30, respectively, and between 0.16-0.68 for the OSPAQ for occupational standing time. The intervention-induced changes in occupational sitting and standing time were well detected by the activPAL, OSPAQ and WSQ (sitting only), but not by the ActiGraph, which had the lowest responsiveness to change. CONCLUSIONS: This study suggests that studies aimed at determining differences in occupational sitting and standing time should use activPAL-type inclinometers as a preferred type of objective measure. Simple questionnaires showed sufficient validity and are usable in addition to an objective measure or alone when objective monitoring is not possible. The hip-worn ActiGraph was unable to distinguish between occupational sitting and standing time, when using uniaxial data and traditional cut-points for sedentary time and light-intensity activity. TRIAL REGISTRATION: The study was registered with the Australian New Zealand Clinical Trials Registry (No. ACTRN 12612000072819).

Sedentary behaviour and risk of mortality from all-causes and cardiometabolic diseases in adults: evidence from the HUNT3 population cohort.

BACKGROUND: Sedentary behaviour is a potential risk factor for chronic-ill health and mortality, that is, independent of health-enhancing physical activity. Few studies have investigated the risk of mortality associated with multiple contexts of sedentary behaviour. OBJECTIVE: To examine the prospective associations of total sitting time, TV-viewing time and occupational sitting with mortality from all causes and cardiometabolic diseases. METHODS: Data from 50,817 adults aged ≥20 years from the Nord-Trøndelag Health Study 3 (HUNT3) in 2006-2008 were linked to the Norwegian Cause of Death Registry up to 31 December 2010. Cox proportional hazards models examined all-cause and cardiometabolic disease-related mortality associated with total sitting time, TV-viewing and occupational sitting, adjusting for multiple potential confounders including physical activity. RESULTS: After mean follow-up of 3.3 years (137,315.8 person-years), 1068 deaths were recorded of which 388 were related to cardiometabolic diseases. HRs for all-cause mortality associated with total sitting time were 1.12 (95% CI 0.89 to 1.42), 1.18 (95% CI 0.90 to 1.57) and 1.65 (95% CI 1.24 to 2.21) for total sitting time 4-<7, 7-<10 and ≥10 h/day, respectively, relative to <4 h/day after adjusting for confounders (p-trend=0.001). A similar pattern of associations was observed between total sitting time and mortality from cardiometabolic diseases, but TV-viewing time and occupational sitting showed no or borderline significant associations with all-cause or cardiometabolic disease-related mortality over the same follow-up period. CONCLUSIONS: Total sitting time is associated with all-cause and cardiometabolic disease-related mortality in the short term. However, prolonged sitting in specific contexts (ie, watching TV, at work) do not adversely impact health in the same timeframe. These findings suggest that adults should be encouraged to sit less throughout the day to reduce their daily total sitting time.

The effectiveness of sit-stand workstations for changing office workers' sitting time: results from the Stand@Work randomized controlled trial pilot.

BACKGROUND: Prolonged sitting time is detrimental for health. Individuals with desk-based occupations tend to sit a great deal and sit-stand workstations have been identified as a potential strategy to reduce sitting time. Hence, the objective of the current study was to examine the effects of using sit-stand workstations on office workers' sitting time at work and over the whole day. METHODS: We conducted a randomized controlled trial pilot with crossover design and waiting list control in Sydney, Australia from September 2011 to July 2012 (n = 42; 86% female; mean age 38 ± 11 years). Participants used a sit-stand workstation for four weeks in the intervention condition. In the time-matched control condition, participants received nothing and crossed over to the intervention condition after four weeks. The primary outcomes, sitting, standing and walking time at work, were assessed before and after using the workstations with ActivPALs and self-report questionnaires. Secondary outcomes, domain-specific sitting over the whole day, were assessed by self-report. Linear mixed models estimated changes in outcomes adjusting for measurement time, study grouping and covariates. RESULTS: Intervention participants significantly reduced objectively assessed time spent sitting at work by 73 min/workday (95% CI: -106,-39) and increased standing time at work by 65 min/workday (95% CI: 47, 83); these changes were significant relative to controls (p = 0.004 and p < 0.001, respectively). Total sitting time significantly declined in intervention participants (-80 min/workday; 95% CI: -155, -4). CONCLUSIONS: This study shows that introducing sit-stand workstations in the office can reduce desk-based workers' sitting time at work in the short term. Larger scale studies on more representative samples are needed to determine the public health impact of sit-stand workstations. TRIAL REGISTRATION: ACTRN12612000072819.

Associations between socio-economic position and sedentary behaviour in a large population sample of Australian middle and older-aged adults: The Social, Economic, and Environmental Factor (SEEF) Study.

OBJECTIVE: Socioeconomic position (SEP) is associated with health-related behaviours but little is known about the socioeconomic gradient of sedentary behaviour. This study aims to assess the associations between SEP and multiple indicators of sedentary behaviour among Australian mid-to-older age adults. METHOD: Multivariate analysis of 60,404 (>47years, 26,366 in paid employment) participants in the Social, Economic, and Environmental Factor Study, examining the associations between SEP (educational attainment, household income, and an area-level index of socioeconomic advantage) and self-reported daily time for total sitting, TV viewing, computer use, and car driving. Data was collected in 2010 in New South Wales, Australia. RESULTS: For participants in paid employment, we found positive associations with all SEP indicators for total sitting and computer use time, and inverse associations for TV viewing. Driving time was inversely associated with education level only. We observed similar but less pronounced patterns of associations among participants not in paid employment. CONCLUSION: Higher SEP is linked to higher total sitting and computer time, particularly among those in paid employment, and lower TV viewing time.

Standing time and all-cause mortality in a large cohort of Australian adults.

OBJECTIVE: To determine the association between standing time and all-cause mortality. METHODS: Prospective questionnaire data from 221,240 individuals from the 45 and Up Study were linked to mortality data from the New South Wales Registry of Deaths (Australia) from February 1, 2006 to June 17, 2012. Hazard ratios for all-cause mortality according to standing time at baseline were estimated in 2013 using Cox regression modelling, adjusted for sex, age, education, urban/rural residence, physical activity, sitting time, body mass index, smoking status, self-rated health and disability. RESULTS: During 937,411 person years (mean follow-up=4.2 yr) 8009 deaths occurred. All-cause mortality hazard ratios were 0.90 (95% CI 0.85-0.95), 0.85 (95% CI 0.80-0.95), and 0.76 (95% CI 0.69-0.95) for standing 2-≤5h/d, 5-≤8h/d, or >8h/d respectively, compared to standing two or less hours per day. Further analyses revealed no significant interactions between standing and sex (p=0.93), the presence/absence of cardiovascular disease or diabetes (p=0.22), BMI (p=0.78), physical activity (p=0.16) and sitting time (p=0.22). CONCLUSION: This study showed a dose-response association between standing time and all-cause mortality in Australian adults aged 45 years and older. Increasing standing may hold promise for alleviating the health risks of prolonged sitting.

Desk-based workers' perspectives on using sit-stand workstations: a qualitative analysis of the Stand@Work study.

BACKGROUND: Prolonged sitting time has been identified as a health risk factor. Sit-stand workstations allow desk workers to alternate between sitting and standing throughout the working day, but not much is known about their acceptability and feasibility. Hence, the aim of this study was to qualitatively evaluate the acceptability, feasibility and perceptions of using sit-stand workstations in a group of desk-based office workers. METHODS: This article describes the qualitative evaluation of the randomized controlled cross-over Stand@Work pilot trial. Participants were adult employees recruited from a non-government health agency in Sydney, Australia. The intervention involved using an Ergotron Workfit S sit-stand workstation for four weeks. After the four week intervention, participants shared their perceptions and experiences of using the sit-stand workstation in focus group interviews with 4-5 participants. Topics covered in the focus groups included patterns of workstation use, barriers and facilitators to standing while working, effects on work performance, physical impacts, and feasibility in the office. Focus group field notes and transcripts were analysed in an iterative process during and after the data collection period to identify the main concepts and themes. RESULTS: During nine 45-min focus groups, a total of 42 participants were interviewed. Participants were largely intrinsically motivated to try the sit-stand workstation, mostly because of curiosity to try something new, interest in potential health benefits, and the relevance to the participant's own and organisation's work. Most participants used the sit-stand workstation and three common usage patterns were identified: task-based routine, time-based routine, and no particular routine. Common barriers to sit-stand workstation use were working in an open plan office, and issues with sit-stand workstation design. Common facilitators of sit-stand workstation use were a supportive work environment conducive to standing, perceived physical health benefits, and perceived work benefits. When prompted, most participants indicated they were interested in using a sit-stand workstation in the future. CONCLUSIONS: The use of a sit-stand workstation in this group of desk-based office workers was generally perceived as acceptable and feasible. Future studies are needed to explore this in different desk-based work populations and settings.

Exploring Australian News Media Portrayals of Sustainable and Plant-Based Diets.

(1) Background: Dietary behaviour transformation is imperative for the attainment of more sustainable food systems, including an increased intake of plant-based foods and lower consumption of red meat and highly processed foods. The influence of news media coverage on public opinion regarding dietary behaviours is significant. Therefore, this study aimed to explore how sustainable/plant-based diets have been portrayed in Australian news media. (2) Methods: The Factiva global news database was used to search news articles published in Australia between 2018 and 2020. Relevant news articles were selected if they included keywords relating to sustainable diets, plant-based diets, and meat alternatives. We used a coding protocol to extract key information, such as date of publication, article topic, and any health, environmental and economic impacts. Then, we performed a framing and thematic analysis of the data. (3) Results: From 357 included articles, more than half of the articles encouraged increasing the intake of plant-based foods (53.5%) and reducing animal-derived food intake (55.2%). Several reasons for such shift from animal protein centric Australian diets were identified throughout the articles such as health benefits (15.4%), environmental impacts (11.2%), animal welfare (4.8%), seasonality and local food intake (5.3%), avoiding overconsumption (4.5%) and food wastage (4.5%). (4) Conclusions: The predominant frame in Australian news coverage about sustainable diets has been about consumption, more plant- and less animal-based products, with little nuance about the complex interplay of diet quality and environment in influencing food choices. Australian news media should broaden its coverage of sustainable diets to include health, environmental, and economic factors to improve public understanding and facilitate informed and sustainable food choices. Further research is needed to enhance comprehension of how the audience perceives media coverage on this topic, which will provide a more thorough understanding.

The prevalence and correlates of sitting in European adults - a comparison of 32 Eurobarometer-participating countries.

BACKGROUND: Prolonged sitting is an emerging health risk. However, multi-country comparative sitting data are sparse. This paper reports the prevalence and correlates of sitting time in 32 European countries. METHODS: Data from the Eurobarometer 64.3 study were used, which included nationally representative samples (n = 304-1,102) from 32 European countries. Face-to-face interviews were conducted during November and December 2005. Usual weekday sitting time was assessed using the International Physical Activity Questionnaire (short-version). Sitting time was compared by country, age, gender, years of education, general health status, usual activity and physical activity. Multivariable-adjusted analyses assessed the odds of belonging to the highest sitting quartile. RESULTS: Data were available for 27,637 adults aged 15-98 years. Overall, mean reported weekday sitting time was 309 min/day (SD 184 min/day). There was a broad geographical pattern and some of the lowest amounts of daily sitting were reported in southern (Malta and Portugal means 194-236 min/day) and eastern (Romania and Hungary means 191-276 min/day) European countries; and some of the highest amounts of daily sitting were reported in northern European countries (Germany, Benelux and Scandinavian countries; means 407-335 min/day). Multivariable-adjusted analyses showed adults with low physical activity levels (OR = 5.10, CI95 = 4.60-5.66), those with high sitting in their main daily activity (OR = 2.99, CI95 = 2.74-3.25), those with a bad/very bad general health state (OR = 1.87, CI95 = 1.63-2.15) and higher education levels (OR = 1.48, CI95 = 1.38-1.59) were more likely to be in the highest quartile of daily sitting time. Adults within Greece (OR = 2.91, CI95 = 2.51-3.36) and Netherlands (OR = 2.56, CI95 = 2.22-2.94) were most likely to be in the highest quartile. High-sit/low-active participants comprised 10.1% of the sample. Adults self-reporting bad/very bad general health state (OR = 4.74, CI95 = 3.97-5.65), those within high sitting in their main daily activities (OR = 2.87, CI95 = 2.52-3.26) and adults aged ≥65 years (OR = 1.53, CI95 = 1.19-1.96) and were more likely to be in the high-sit/low-active group. CONCLUSIONS: Weekday sitting time and its demographic correlates varied considerably across European countries, with adults in north-western European countries sitting the most. Sitting is prevalent across Europe and merits attention by preventive interventions.