Public Health Research最新文献

{"title":"A loyalty scheme to encourage physical activity in office workers: a cluster RCT","authors":"R. Hunter, A. Gough, Jennifer M. Murray, Jianjun Tang, S. Brennan, Oliver J. Chrzanowski-Smith, A. Carlin, C. Patterson, A. Longo, George Hutchinson, L. Prior, M. Tully, D. French, Jean Adams, E. McIntosh, Y. Xin, F. Kee","doi":"10.3310/phr07150","DOIUrl":"https://doi.org/10.3310/phr07150","url":null,"abstract":"\u0000 \u0000 Increasing physical activity in the workplace can provide physical and mental health benefits for employees and economic benefits for the employer through reduced absenteeism and increased productivity. However, there is limited evidence on effective behaviour change interventions in workplace settings that led to maintained physical activity. This study aimed to address this gap and contribute to the evidence base for effective and cost-effective workplace interventions.\u0000 \u0000 \u0000 \u0000 To determine the effectiveness and cost-effectiveness of the Physical Activity Loyalty scheme, a multicomponent intervention based on concepts similar to those that underpin a high-street loyalty card, which was aimed at encouraging habitual physical activity behaviour and maintaining increases in mean number of steps per day.\u0000 \u0000 \u0000 \u0000 A cluster randomised controlled trial with an embedded economic evaluation, behavioural economic experiments, mediation analyses and process evaluation.\u0000 \u0000 \u0000 \u0000 Office-based employees from public sector organisations in Belfast and Lisburn city centres in Northern Ireland.\u0000 \u0000 \u0000 \u0000 A total of 853 participants [mean age 43.6 years (standard deviation 9.6 years); 71% of participants were female] were randomly allocated by cluster to either the intervention group or the (waiting list) control group.\u0000 \u0000 \u0000 \u0000 The 6-month intervention consisted of financial incentives (retail vouchers), feedback and other evidence-based behaviour change techniques. Sensors situated in the vicinity of the workplaces allowed participants to monitor their accumulated minutes of physical activity.\u0000 \u0000 \u0000 \u0000 The primary outcome was mean number of steps per day recorded using a sealed pedometer (Yamax Digiwalker CW-701; Yamax, Tasley, UK) worn on the waist for 7 consecutive days and at 6 and 12 months post intervention. Secondary outcomes included health, mental well-being, quality of life, work absenteeism and presenteeism, and the use of health-care resources.\u0000 \u0000 \u0000 \u0000 The mean number of steps per day were significantly lower for the intervention group than the control group [6990 mean number of steps per day (standard deviation 3078) vs. 7576 mean number of steps per day (standard deviation 3345), respectively], with an adjusted mean difference of –336 steps (95% confidence interval –612 to –60 steps; p = 0.02) at 6 months post baseline, but not significantly lower at 12 months post baseline. There was a small but significant enhancement of mental well-being in the intervention group (difference between groups for the Warwick–Edinburgh Mental Wellbeing Scale of 1.34 points, 95% confidence interval 0.48 to 2.20 points), but not for the other secondary outcomes. An economic evaluation suggested that, overall, the scheme was not cost-effective compared with no intervention. The intervention was £25.85 (95% confidence interval –£29.89 to £81.60) more costly per participant than no intervention and had no effect on quality-adjusted life-years (incremental quality-adjusted life-","PeriodicalId":32306,"journal":{"name":"Public Health Research","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2019-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48058518","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Child-care self-assessment to improve physical activity, oral health and nutrition for 2- to 4-year-olds: a feasibility cluster RCT","authors":"R. Kipping, R. Langford, R. Brockman, S. Wells, C. Metcalfe, A. Papadaki, James White, W. Hollingworth, L. Moore, D. Ward, R. Campbell, B. Kadir, L. Tinner, V. Er, Kaiseree I Dias, H. Busse, Jane Collingwood, A. Nicholson, L. Johnson, R. Jago","doi":"10.3310/PHR07130","DOIUrl":"https://doi.org/10.3310/PHR07130","url":null,"abstract":"\u0000 \u0000 The Nutrition And Physical Activity Self Assessment for Child Care (NAP SACC) intervention has shown evidence of effectiveness in the USA but not been adapted or assessed for effectiveness in the UK.\u0000 \u0000 \u0000 \u0000 To evaluate the feasibility and acceptability of implementing NAP SACC in the UK.\u0000 \u0000 \u0000 \u0000 Adaptation and development of NAP SACC and feasibility cluster randomised controlled trial (RCT) including process and economic evaluations. Substudies assessed mediator questionnaire test–retest reliability and feasibility of food photography methods.\u0000 \u0000 \u0000 \u0000 Nurseries, staff and parents in North Somerset, Cardiff, Gloucestershire and Bristol.\u0000 \u0000 \u0000 \u0000 Development – 15 early years/public health staff and health visitors, 12 nursery managers and 31 parents. RCT – 12 nurseries and 31 staff, four partners and 168 children/parents. Mediator substudy – 82 parents and 69 nursery staff. Food photography substudy – four nurseries, 18 staff and 51 children.\u0000 \u0000 \u0000 \u0000 NAP SACC UK partners supported nurseries to review policies and practices and set goals to improve nutrition, oral health and physical activity (PA) over 5 months. Two workshops were delivered to nursery staff by local experts. A home component [website, short message service (SMS) and e-mails] supported parents. The control arm continued with usual practice.\u0000 \u0000 \u0000 \u0000 Feasibility and acceptability of the intervention and methods according to prespecified criteria.\u0000 \u0000 \u0000 \u0000 Qualitative data to adapt the intervention. Measurements with children, parents and staff at baseline and post intervention (8–10 months after baseline). Interviews with nursery managers, staff, parents and NAP SACC UK partners; observations of training, workshops and meetings. Nursery environment observation, nursery Review and Reflect score, and resource log. Child height and weight, accelerometer-determined PA and sedentary time, screen time and dietary outcomes using the Child and Diet Evaluation Tool. Staff and parent questionnaires of knowledge, motivation and self-efficacy. Child quality of life and nursery, family and health-care costs. Food photography of everything consumed by individual children and staff questionnaire to assess acceptability.\u0000 \u0000 \u0000 \u0000 Thirty-two per cent (12/38) of nurseries and 35.3% (168/476) of children were recruited; no nurseries withdrew. The intervention was delivered in five out of six nurseries, with high levels of fidelity and acceptability. Partners found it feasible but had concerns about workload. The child loss to follow-up rate was 14.2%. There was suggestion of promise in intervention compared with control nurseries post intervention for snacks, screen time, proportion overweight or obese and accelerometer-measured total PA and moderate to vigorous PA. Many parental and nursery knowledge and motivation mediators improved. The average cost of delivering the intervention was £1184 per nursery excluding partner training, and the average cost per child was £27. Fourteen per cent of parents used the h","PeriodicalId":32306,"journal":{"name":"Public Health Research","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2019-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43754230","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Impact of legislation to reduce the drink-drive limit on road traffic accidents and alcohol consumption in Scotland: a natural experiment study","authors":"J. Lewsey, Houra Haghpanahan, D. Mackay, E. McIntosh, J. Pell, Andy P. Jones","doi":"10.3310/PHR07120","DOIUrl":"https://doi.org/10.3310/PHR07120","url":null,"abstract":"\u0000 \u0000 It is widely recognised that drink driving is a leading cause of road traffic accidents (RTAs). There is evidence that changing the drink-drive limit from a blood alcohol concentration of 0.08 to 0.05 g/dl is effective in reducing RTAs. Scotland changed the blood alcohol concentration limit to 0.05 g/dl on 5 December 2014.\u0000 \u0000 \u0000 \u0000 To assess whether or not the numbers and rates of RTAs and per capita alcohol consumption in Scotland were reduced because of the 2014 drink-drive legislation. To assess whether or not the 2014 change in legislation provided good value for money.\u0000 \u0000 \u0000 \u0000 A natural experimental, quantitative study. The control group was England and Wales, that is, the other countries in Great Britain, where the drink-drive legislation remained unchanged.\u0000 \u0000 \u0000 \u0000 Great Britain.\u0000 \u0000 \u0000 \u0000 The entire population of Scotland, England and Wales for the period of January 2013–December 2016.\u0000 \u0000 \u0000 \u0000 The change to drink-drive legislation in Scotland.\u0000 \u0000 \u0000 \u0000 The counts and rates of RTAs; and per capita alcohol consumption.\u0000 \u0000 \u0000 \u0000 For the numbers and rates of RTAs (both traffic flow and population denominators were used), and separately for the intervention and control trial groups, negative binomial regression models were fitted to panel data sets to test for a change in outcome level after the new 2014 legislation was in place. To obtain a ‘difference-in-differences’ (DiD)-type measure of effect, an interaction term between the intervention group indicator and the binary covariate for indicating pre and post change in legislation (‘pseudo’-change for the control group) was assessed. For off- and on-trade per capita alcohol sales, and separately for the intervention and control trial group, seasonal autoregressive integrated moving average error models were fitted to the relevant time series.\u0000 \u0000 \u0000 \u0000 The change to drink-drive legislation was associated with a 2% relative decrease in RTAs in Scotland [relative risk (RR) 0.98, 95% CI 0.91 to 1.04; p = 0.53]. However, the pseudo-change in legislation was associated with a 5% decrease in RTAs in England and Wales (RR 0.95, 95% CI 0.90 to 1.00; p = 0.05). For RTA rates, with traffic flow as the denominator, the DiD-type estimate indicated a 7% increase in rates for Scotland relative to England and Wales (unadjusted RR 1.07, 95% CI 0.98 to 1.17; p = 0.1). The change to drink-drive legislation was associated with a 0.3% relative decrease in per capita off-trade sales (–0.3%, 95% CI –1.7% to 1.1%; p = 0.71) and a 0.7% decrease in per capita on-trade sales (–0.7%, 95% CI –0.8% to –0.5%; p < 0.001).\u0000 \u0000 \u0000 \u0000 The change to drink-drive legislation in Scotland in December 2014 did not have the expected effect of reducing RTAs in the country, and nor did it change alcohol drinking levels in Scotland. This main finding for RTAs was unexpected and the research has shown that a lack of enforcement is the most likely reason for legislation failure.\u0000 \u0000 \u0000 \u0000 Investigations into how the public interpret and act on changes in","PeriodicalId":32306,"journal":{"name":"Public Health Research","volume":"1 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2019-06-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41650439","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Peer-led walking programme to increase physical activity in inactive 60- to 70-year-olds: Walk with Me pilot RCT","authors":"M. Tully, Conor Cunningham, Ashlene Wright, Ilona I. McMullan, J. Doherty, Debbie Collins, C. Tudor-Locke, J. Morgan, G. Phair, Bob Laventure, E. Simpson, S. McDonough, Evie Gardner, F. Kee, M. Murphy, A. Agus, R. Hunter, W. Hardeman, M. Cupples","doi":"10.3310/PHR07100","DOIUrl":"https://doi.org/10.3310/PHR07100","url":null,"abstract":"\u0000 \u0000 Levels of physical activity decline with age. Some of the most disadvantaged individuals in society, such as those with a lower rather than a higher socioeconomic position, are also the most inactive. Peer-led physical activity interventions may offer a model to increase physical activity in these older adults and thus help reduce associated health inequalities. This study aims to develop and test the feasibility of a peer-led, multicomponent physical activity intervention in socioeconomically disadvantaged community-dwelling older adults.\u0000 \u0000 \u0000 \u0000 The study aimed to develop a peer-led intervention through a rapid review of previous peer-led interventions and interviews with members of the target population. A proposed protocol to evaluate its effectiveness was tested in a pilot randomised controlled trial (RCT).\u0000 \u0000 \u0000 \u0000 A rapid review of the literature and the pilot study informed the intervention design; a pilot RCT included a process evaluation of intervention delivery.\u0000 \u0000 \u0000 \u0000 Socioeconomically disadvantaged communities in the South Eastern Health and Social Care Trust and the Northern Health and Social Care Trust in Northern Ireland.\u0000 \u0000 \u0000 \u0000 Fifty adults aged 60–70 years, with low levels of physical activity, living in socioeconomically disadvantaged communities, recruited though community organisations and general practices.\u0000 \u0000 \u0000 \u0000 ‘Walk with Me’ is a 12-week peer-led walking intervention based on social cognitive theory. Participants met weekly with peer mentors. During the initial period (weeks 1–4), each intervention group participant wore a pedometer and set weekly step goals with their mentor’s support. During weeks 5–8 participants and mentors met regularly to walk and discuss step goals and barriers to increasing physical activity. In the final phase (weeks 9–12), participants and mentors continued to set step goals and planned activities to maintain their activity levels beyond the intervention period. The control group received only an information booklet on active ageing.\u0000 \u0000 \u0000 \u0000 Rates of recruitment, retention of participants and completeness of the primary outcome [moderate- and vigorous-intensity physical activity measured using an ActiGraph GT3X+ accelerometer (ActiGraph, LLC, Pensacola, FL, USA) at baseline, 12 weeks (post intervention) and 6 months]; acceptability assessed through interviews with participants and mentors.\u0000 \u0000 \u0000 \u0000 The study planned to recruit 60 participants. In fact, 50 eligible individuals participated, of whom 66% (33/50) were female and 80% (40/50) were recruited from general practices. At 6 months, 86% (43/50) attended for review, 93% (40/43) of whom returned valid accelerometer data. Intervention fidelity was assessed by using weekly step diaries, which were completed by both mentors and participants for all 12 weeks, and checklists for the level of delivery of intervention components, which was high for the first 3 weeks (range 49–83%). However, the rate of return of checklists by both mentors and partici","PeriodicalId":32306,"journal":{"name":"Public Health Research","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2019-05-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43738330","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Brief alcohol intervention for risky drinking in young people aged 14–15 years in secondary schools: the SIPS JR-HIGH RCT","authors":"E. Giles, G. McGeechan, S. Coulton, P. Deluca, C. Drummond, D. Howel, E. Kaner, E. McColl, R. McGovern, S. Scott, E. Stamp, H. Sumnall, L. Todd, L. Vale, V. Albani, S. Boniface, Jennifer Ferguson, E. Gilvarry, N. Hendrie, N. Howe, H. Mossop, A. Ramsay, G. Stanley, D. Newbury-Birch","doi":"10.3310/PHR07090","DOIUrl":"https://doi.org/10.3310/PHR07090","url":null,"abstract":"\u0000 \u0000 Adverse effects from young people’s alcohol consumption manifest in a range of physical and psychosocial factors, including neurological issues, cognitive impairment and risk-taking behaviours. The SIPS JR-HIGH pilot trial showed alcohol screening and brief intervention (ASBI) to be acceptable to young people and schools in the north-east of England.\u0000 \u0000 \u0000 \u0000 To conduct a two-arm, individually randomised controlled trial to evaluate the effectiveness and cost-effectiveness of ASBI for risky drinking in young people aged 14–15 years in the school setting, to monitor the fidelity of ASBI and to explore the barriers to, and facilitators of, implementation with staff, young people and parents.\u0000 \u0000 \u0000 \u0000 A baseline survey with a 12-month follow-up. Interviews with 30 school staff, 21 learning mentors and nine teachers, and 33 young people and two parents.\u0000 \u0000 \u0000 \u0000 Thirty state schools in four areas of England: north-east, north-west, Kent and London.\u0000 \u0000 \u0000 \u0000 Year 10 school pupils who consented to the study (aged 14–15 years, recruited between November 2015 and June 2016), school-based staff and parents of the young people who took part in the study.\u0000 \u0000 \u0000 \u0000 Young people who screened positively on a single alcohol screening question and consented were randomised to the intervention or control arm (blinded). The intervention was a 30-minute one-to-one structured brief intervention with a trained learning mentor and an alcohol leaflet. The control group received a healthy lifestyle leaflet (no alcohol information).\u0000 \u0000 \u0000 \u0000 The primary outcome measure was total alcohol consumed in the last 28 days. Secondary outcomes related to risky drinking, general psychological health, sexual risk-taking, energy drink consumption, age of first smoking, quality of life, quality-adjusted life-years, service utilisation and demographic information.\u0000 \u0000 \u0000 \u0000 A total of 4523 young people completed the baseline survey, with 1064 screening positively (24%) and 443 being eligible to take part in the trial. Of those 443, 233 (53%) were randomised to the control arm and 210 were randomised to the intervention arm. Of the 443, 374 (84%) were successfully followed up at 12 months (intervention, n = 178; control, n = 196). The results were that the intervention showed no evidence of benefit for any alcohol-related measure when compared with the control arm. At 12 months we found a reduction from 61.9% to 43.3% using the Alcohol Use Disorders Identification Test cut-off point of 8 and cut-off point of 4 (69.0% to 60.7%). These results were not significant. A cost-effectiveness analysis showed that the average net cost saving of the brief intervention was £2865 (95% confidence interval –£11,272 to £2707) per year compared with usual practice, with the intervention showing a 76% probability of being cost saving compared with usual practice. The interview findings showed that school was an acceptable setting to carry out ASBI among staff and young people.\u0000 \u0000 \u0000 \u0000 Recruitment of parents to take","PeriodicalId":32306,"journal":{"name":"Public Health Research","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2019-05-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49309101","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"A brief behavioural intervention to promote regular self-weighing to prevent weight regain after weight loss: a RCT","authors":"A. Daley, K. Jolly, C. Madigan, Ryan Griffin, A. Roalfe, Amanda Lewis, A. Nickless, P. Aveyard","doi":"10.3310/PHR07070","DOIUrl":"https://doi.org/10.3310/PHR07070","url":null,"abstract":"Although behavioural weight loss treatments can be effective, long-term maintenance of this weight loss remains a critical challenge because the vast majority of people will regain their lost weight over time. The period after initial weight loss is the time when people are at the highest risk of weight regain.The primary aim of this study was to evaluate the effectiveness and cost-effectiveness of a brief behavioural intervention delivered by non-specialist call centre staff to promote regular self-weighing to prevent weight regain after intentional weight loss.Randomised controlled trial.West Midlands, UK.Adults were recruited if they had attended a local authority-funded weight management programme and had lost ≥ 5% of their starting weight by the end of their weight loss programme.The intervention group received three brief support telephone calls, delivered by non-specialist call centre staff (from a third-sector community organisation), that encouraged setting a weight maintenance target of ≤ 1 kg of weight gain from current weight, which was to be assessed by daily self-weighing and recording weight on a record card, together with regular text messages. Participants were asked to return to their weight loss plan if they gained > 1 kg above their target weight. The usual-care group received a standard weight maintenance leaflet, the infographic EatWell Plate and a list of useful websites pertaining to weight management.The primary outcome was the difference between the groups in mean weight change (kg) from baseline to 12 months. The secondary outcomes included the proportion of participants in each group who had regained < 1 kg in weight at the 3- and 12-month follow-up points.A total of 813 potential participants were screened, 583 of whom were eligible and randomised (usual care,n = 292; intervention,n = 291). A total of 94% and 89% of participants completed follow-up at 3 and 12 months, respectively. At 12 months, the mean unadjusted weight change was +0.39 kg for the intervention group and –0.17 kg for the usual-care group, an adjusted difference of 0.53 kg [95% confidence interval (CI) –0.64 to 1.71 kg]. At 12 months, 134 (45.9%) and 130 (44.7%) participants regained ≤ 1 kg of their baseline weight in the usual-care and intervention groups, respectively (odds ratio 0.96, 95% CI 0.69 to 1.33). As the intervention was ineffective, we did not pursue a cost-effectiveness analysis.Brief behavioural telephone support delivered by non-specialist workers to promote target-setting and daily self-weighing and recording of weight does not prevent weight regain after intentional weight loss. Specifically, as target-setting and daily self-weighing did not increase conscious cognitive restraint, people may need more intensive interventions to promote the use of behavioural techniques that help people maintain lost weight.Current Controlled Trials ISRCTN52341938.This project was funded by the National Institute for Health Research (NIHR) Public Heal","PeriodicalId":32306,"journal":{"name":"Public Health Research","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2019-05-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48867755","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Mass media to communicate public health messages in six health topic areas: a systematic review and other reviews of the evidence","authors":"M. Stead, K. Angus, T. Langley, S. Katikireddi, K. Hinds, S. Hilton, S. Lewis, James Thomas, M. Campbell, B. Young, L. Bauld","doi":"10.3310/PHR07080","DOIUrl":"https://doi.org/10.3310/PHR07080","url":null,"abstract":"Mass media campaigns can be used to communicate public health messages at the population level. Although previous research has shown that they can influence health behaviours in some contexts, there have been few attempts to synthesise evidence across multiple health behaviours.To (1) review evidence on the effective use of mass media in six health topic areas (alcohol, diet, illicit drugs, physical activity, sexual and reproductive health and tobacco), (2) examine whether or not effectiveness varies with different target populations, (3) identify characteristics of mass media campaigns associated with effectiveness and (4) identify key research gaps.The study comprised (1) a systematic review of reviews, (2) a review of primary studies examining alcohol mass media campaigns, (3) a review of cost-effectiveness evidence and (4) a review of recent primary studies of mass media campaigns conducted in the UK. A logic model was developed to inform the reviews. Public engagement activities were conducted with policy, practitioner and academic stakeholders and with young people.The amount and strength of evidence varies across the six topics, and there was little evidence regarding diet campaigns. There was moderate evidence that mass media campaigns can reduce sedentary behaviour and influence sexual health-related behaviours and treatment-seeking behaviours (e.g. use of smoking quitlines and sexual health services). The impact on tobacco use and physical activity was mixed, there was limited evidence of impact on alcohol use and there was no impact on illicit drug behaviours. Mass media campaigns were found to increase knowledge and awareness across several topics, and to influence intentions regarding physical activity and smoking. Tobacco and illicit drug campaigns appeared to be more effective for young people and children but there was no or inconsistent evidence regarding effectiveness by sex, ethnicity or socioeconomic status. There was moderate evidence that tobacco mass media campaigns are cost-effective, but there was weak or limited evidence in other topic areas. Although there was limited evidence on characteristics associated with effectiveness, longer or greater intensity campaigns were found to be more effective, and messages were important, with positive and negative messages and social norms messages affecting smoking behaviour. The evidence suggested that targeting messages to target audiences can be effective. There was little evidence regarding the role that theory or media channels may play in campaign effectiveness, and also limited evidence on new media.Statistical synthesis was not possible owing to considerable heterogeneity across reviews and studies. The focus on review-level evidence limited our ability to examine intervention characteristics in detail.Overall, the evidence is mixed but suggests that (1) campaigns can reduce sedentary behaviour, improve sexual health and contribute to smoking cessation, (2) tobacco control c","PeriodicalId":32306,"journal":{"name":"Public Health Research","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2019-05-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47507487","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"A workplace-based intervention to increase levels of daily physical activity: the Travel to Work cluster RCT","authors":"S. Audrey, H. Fisher, A. Cooper, D. Gaunt, C. Metcalfe, K. Garfield, W. Hollingworth, S. Procter, Marie Gabe-Walters, S. Rodgers, F. Gillison, A. Davis, P. Insall","doi":"10.3310/PHR07110","DOIUrl":"https://doi.org/10.3310/PHR07110","url":null,"abstract":"There may be opportunities for working adults to accumulate recommended physical activity levels (≥ 150 minutes of moderate-intensity physical activity in bouts of ≥ 10 minutes throughout the week) during the commute to work. Systematic reviews of interventions to increase active transport indicate that studies are predominantly of poor quality, rely on self-report and lack robust statistical analyses.\u0000 \u0000 \u0000 \u0000 To assess the effectiveness, cost and consequences of a behavioural intervention to increase walking during the commute to work.\u0000 \u0000 \u0000 \u0000 A multicentre, parallel-arm, cluster randomised controlled trial incorporating economic and process evaluations. Physical activity outcomes were measured using accelerometers and GPS (Global Positioning System) receivers at baseline and the 12-month follow-up.\u0000 \u0000 \u0000 \u0000 Workplaces in seven urban areas in south-west England and south Wales.\u0000 \u0000 \u0000 \u0000 Employees (n = 654) in 87 workplaces.\u0000 \u0000 \u0000 \u0000 Workplace-based Walk to Work promoters were trained to implement a 10-week intervention incorporating key behaviour change techniques.\u0000 \u0000 \u0000 \u0000 The primary outcome was the daily number of minutes of moderate to vigorous physical activity (MVPA). Secondary outcomes included MVPA during the commute, overall levels of physical activity and modal shift (from private car to walking). Cost–consequences analysis included employer, employee and health service costs and consequences. Process outcomes included barriers to, and facilitators of, walking during the daily commute.\u0000 \u0000 \u0000 \u0000 There was no evidence of an intervention effect on MVPA at the 12-month follow-up [adjusted difference in means 0.3 minutes, 95% confidence interval (CI) –5.3 to 5.9 minutes]. The intervention cost was on average, £181.97 per workplace and £24.19 per participating employee. In comparison with car users [mean 7.3 minutes, standard deviation (SD) 7.6 minutes], walkers (mean 34.3 minutes, SD 18.6 minutes) and public transport users (mean 25.7 minutes, SD 14.0 minutes) accrued substantially higher levels of daily MVPA during the commute. Participants who walked for ≥ 10 minutes during their commute were more likely to have a shorter commute distance (p < 0.001). No access to a car (p < 0.001) and absence of free workplace car parking (p < 0.01) were independently related to walking to work and using public transport. Higher quality-of-life scores were observed for the intervention group in a repeated-measures analysis (mean 0.018, 95% CI 0.000 to 0.036; scores anchored at 0 indicated ‘no capability’ and scores anchored at 1 indicated ‘full capability’).\u0000 \u0000 \u0000 \u0000 Although this research showed that walking to work and using public transport are important contributors to physical activity levels in a working population, the behavioural intervention was insufficient to change travel behaviour. Broader contextual factors, such as length of journey, commuting options and availability of car parking, may influence the effectiveness of behavioural interventions to change","PeriodicalId":32306,"journal":{"name":"Public Health Research","volume":"1 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2019-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"69498526","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Training teachers in classroom management to improve mental health in primary school children: the STARS cluster RCT","authors":"T. Ford, R. Hayes, S. Byford, Vanessa Edwards, Malcolm Fletcher, S. Logan, B. Norwich, Will Pritchard, K. Allen, Matt Allwood, Poushali Ganguli, Katie Grimes, Lorraine Hansford, Bryony Longdon, S. Norman, A. Price, A. Russell, O. Ukoumunne","doi":"10.3310/PHR07060","DOIUrl":"https://doi.org/10.3310/PHR07060","url":null,"abstract":"Poor mental health in childhood is common, persistent and associated with a range of adverse outcomes that include persistent psychopathology, as well as risk-taking behaviour, criminality and educational failure, all of which may also compromise health. There is a growing policy focus on children’s mental health and the role of schools in particular in addressing this.To evaluate whether or not the Incredible Years®(IY) Teacher Classroom Management (TCM) training improved children’s mental health, behaviour, educational attainment and enjoyment of school, improved teachers’ mental health and relationship with work, and was cost-effective in relation to potential improvements.A two-arm, pragmatic, parallel-group, superiority, cluster randomised controlled trial.A total of 80 UK schools (clusters) were recruited in three distinct cohorts between 2012 and 2014 and randomised to TCM (intervention) or teaching as usual [(TAU) control] with follow-ups at 9, 18 and 30 months. Schools and teachers were not masked to allocation.Eighty schools (n = 2075 children) were randomised: 40 (n = 1037 children) to TCM and 40 (n = 1038 children) to TAU.TCM was delivered to teachers in six whole-day sessions, spread over 6 months. The explicit goals of TCM are to enhance classroom management skills and improve teacher–student relationships.The primary planned outcome was the teacher-reported Strengths and Difficulties Questionnaire Total Difficulties (SDQ-TD) score. Random-effects linear regression and marginal logistic regression models using generalized estimating equations were used to analyse outcomes.The intervention reduced the SDQ-TD score at 9 months [adjusted mean difference (AMD) –1.0, 95% confidence interval (CI) –1.9 to –0.1;p = 0.03] but there was little evidence of effects at 18 months (AMD –0.1, 95% CI –1.5 to 1.2;p = 0.85) and 30 months (AMD –0.7, 95% CI –1.9 to 0.4;p = 0.23). Planned subgroup analyses suggested that TCM is more effective than TAU for children with poor mental health. Cost-effectiveness analysis using the SDQ-TD suggested that the probability of TCM being cost-effective compared with TAU was associated with some uncertainty (range of 40% to 80% depending on the willingness to pay for a unit improvement in SDQ-TD score). In terms of quality-adjusted life-years (QALYs), there was evidence to suggest that TCM was cost-effective compared with TAU at the National Institute for Health and Care Excellence thresholds of £20,000–30,000 per QALY at 9- and 18-month follow-up, but not at 30-month follow-up. There was evidence of reduced disruptive behaviour (p = 0.04) and reductions in inattention and overactivity (p = 0.02) at the 30-month follow-up. Despite no main effect on educational attainment, subgroup analysis indicated that the intervention’s effect differed between those who did and those who did not have poor mental health for both literacy (interactionp = 0.04) and numeracy (interactionp = 0.03). Independent blind observations and qu","PeriodicalId":32306,"journal":{"name":"Public Health Research","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2019-04-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49288761","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"A school-based intervention (‘Girls Active’) to increase physical activity levels among 11- to 14-year-old girls: cluster RCT","authors":"D. Harrington, M. Davies, D. Bodicoat, J. Charles, Y. Chudasama, T. Gorely, K. Khunti, A. Rowlands, L. Sherar, R. Tudor-Edwards, T. Yates, C. Edwardson","doi":"10.3310/PHR07050","DOIUrl":"https://doi.org/10.3310/PHR07050","url":null,"abstract":"Physical activity (PA) levels among adolescent girls in the UK are low. ‘Girls Active’, developed by the Youth Sport Trust (YST), has been designed to increase girls’ PA levels.To understand the effectiveness and cost-effectiveness of the Girls Active programme.A two-arm cluster randomised controlled trial.State secondary schools in the Midlands, UK.Girls aged between 11 and 14 years.Girls Active involves teachers reviewing PA, sport and physical education provision, culture and practices in their school; attending training; creating action plans; and effectively working with girls as peer leaders to influence decision-making and to promote PA to their peers. Support from a hub school and the YST is offered.The change in objectively measured moderate to vigorous intensity PA (MVPA) levels at 14 months. Secondary outcomes included changes in overall PA level (mean acceleration), light PA levels, sedentary time, body composition and psychosocial outcomes. Cost-effectiveness and process evaluation (qualitative and quantitative) data were collected.Twenty schools and 1752 pupils were recruited; 1211 participants provided complete primary outcome data at 14 months. No difference was found in mean MVPA level between groups at 14 months [1.7 minutes/day, 95% confidence interval (CI) –0.8 to 4.3 minutes/day], but there was a small difference in mean MVPA level at 7 months (2.4 minutes/day, 95% CI 0.1 to 4.7 minutes/day). Significant differences between groups were found at 7 months, but not at 14 months, in some of the objective secondary outcomes: overall PA level represented by average acceleration (1.39 mg, 95% CI 0.1 to 2.2 mg), after-school sedentary time (–4.7 minutes/day, 95% CI –8.9 to –0.6 minutes/day), overall light PA level (5.7 minutes/day, 95% CI 1.0 to 10.5 minutes/day) and light PA level on school days (4.5 minutes/day, 95% CI 0.25 to 8.75 minutes/day). Minor, yet statistically significant, differences in psychosocial measures at 7 months were found in favour of control schools. Significant differences in self-esteem and identified motivation in favour of intervention schools were found at 7 and 14 months, respectively. Subgroup analyses showed a significant effect of the intervention for those schools with higher numbers of pupils at 14 months. Girls Active was well received by teachers, and they reported that implemented strategies and activities were having a positive impact in schools. Barriers to implementation progress included lack of time, competing priorities and the programme flexibility. Implementation costs ranged from £2054 (£23/pupil) to £8545 (£95/pupil) per school. No differences were found between groups for health-related quality-of-life scores or frequencies, or for costs associated with general practitioner, school nurse and school counsellor use.Girls Active may not have had an effect on the random 90 girls per school included in the evaluation. Although we included a diverse sample of schools, the results may not be g","PeriodicalId":32306,"journal":{"name":"Public Health Research","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2019-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49155681","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}