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Aims: There is a lack of longitudinal, population-based studies on the association between education and smoking cessation. A more thorough examination of this association is needed to address inequalities in smoking. Methods: The longitudinal Health 2000 Survey and Health 2011 Survey, representing the Finnish population aged ⩾30 years, were analysed. Of the 1352 baseline daily smokers, 945 (70%) provided a smoking status at the follow-up. The analytic sample size was 884 (excluding the follow-up occasional smokers). Self-reported questionnaire data and measurements (e.g. plasma cotinine) from the baseline were utilised. The outcome variable was smoking cessation at the follow-up, and the main explanatory variable was education. Logistic regression was the main method for statistical analyses. All of the analyses accounted for the sampling design. Results: At the follow-up, 28% of the baseline daily smokers had quit smoking. An adjusted regression model showed that highly educated respondents had a higher likelihood of quitting smoking compared with those with basic education. Controlling for demographic and health-related variables had a modest effect on this association. Higher scores for plasma cotinine, symptoms of depression and heavy alcohol use were associated with a lower likelihood of quitting smoking. The association between education and smoking cessation was weaker for women than it was for men. Conclusions: High education is associated with smoking cessation among the general adult population, especially among men. A higher plasma cotinine level is strongly associated with continued smoking among both sexes. Background variables only modestly affected the association between education and smoking cessation.

available at: https://rdcu.be/4BhD Genome-wide sequencing may generate secondary findings (SFs). It is recommended that validated, clinically actionable SFs are reported back to patients/research participants. To explore publics’ perspectives on the best ways to do this, we performed a vignette study among Finnish adults. Our aim was to explore how lay people react to different types of hypothetical genomic SFs. Participants received a hypothetical letter revealing a SF predisposing to a severe but actionable disease - cardiovascular disease (familial hypercholesterolemia, long QT syndrome) or cancer (Lynch syndrome, Li–Fraumeni syndrome). Participants (N=29) wrote down their initial reactions, and discussed (N=23) these in focus groups. Data were analyzed using inductive thematic analysis. Reactions to hypothetical SFs varied according to perceived severity and familiarity of the diseases. SFs for cancer were perceived as more threatening than for cardiovascular diseases, but less distressing than risk for psychiatric or neurological disorders, which participants spontaneously brought up. Illness severity in terms of lived experience, availability of treatment, stigma, and individual’s responsibility to control risk were perceived to vary across these disease types. In addition to clinical validity and utility, SF reporting practices need to take into account potential familiarity and lay illness representations of different diseases. Illness representations may influence willingness to receive SFs, and individuals’ reactions to this information.

Background Perceived disease risk may reflect actual risk indicators and/or motivation to change lifestyle. Yet, few longitudinal studies have assessed how perceived risk relates to risk indicators among different disease risk groups. We examined in a 5-year follow-up, whether perceived risks of diabetes and cardiovascular disease predicted physical activity, body mass index (BMI kg/m2), and blood glucose level, or the reverse. We examined further whether perceived risk, self-efficacy, and outcome beliefs together predicted changes in these risk indicators. Method Participants were high diabetes risk participants (N = 432) and low/moderate-risk participants (N = 477) from the national FINRISK 2002 study who were followed up in 2007. Both study phases included questionnaires and health examinations with individual feedback letters. Data were analyzed using gender- and age-adjusted structural equation models. Results In cross-lagged autoregressive models, perceived risks were not found to predict 5-year changes in physical activity, BMI, or 2-h glucose. In contrast, higher BMI and 2-h glucose predicted 5-year increases in perceived risks (β-values 0.07–0.15, P-values β-values 0.10–0.16, P-values 0.005–0.034). Higher outcome beliefs predicted lower BMI among the low/moderate-risk sample (β-values − 0.04 to − 0.05, P-values 0.008–0.011). Conclusion Perceived risk of chronic disease rather follows risk indicators than predicts long-term lifestyle changes. To promote sustained lifestyle changes, future intervention studies need to examine the best ways to combine risk feedback with efficient behavior change techniques.

BACKGROUND Insufficient physical activity is an increasing public health concern. New technologies may help to change physical activity levels while also enabling the identification of key predictors with high accuracy. The Precious smartphone app was developed to investigate the effect of specific, modular intervention elements on physical activity, and to examine theory-based predictors within individuals. OBJECTIVE This study pilot tested a fully automated factorial N-of-1 RCT with the Precious app and examined if (1) digitalized motivational interviewing (dMI) and (2) heart-rate variability-based biofeedback features increase objectively recorded steps. The secondary aim was to assess whether daily self-efficacy and motivation predict within-person variability in daily steps. METHODS Fifteen adults took part in a 40-day factorial N-of-1 randomized controlled trial. They installed two study apps onto their phones: app 1 to receive intervention elements on individually randomized days and app 2 to collect Ecological Momentary Assessment (EMA) data on self-efficacy, motivation, perceived barriers, pain and illness. Steps were tracked through Xiaomi Mi Band activity bracelets. The factorial design included seven two-day biofeedback interventions with a Firstbeat bodyguard 2 heart-rate variability sensor, and seven two-day dMI interventions, a washout-day after each intervention, and 11 control days. EMA questions were sent twice per day. The effects of self-efficacy, motivation, and the interventions on subsequent steps were analyzed using within-person dynamic regression models and with aggregated data using longitudinal multilevel modeling (level 1: daily observations, level 2: participants). The analyses adjusted for covariates that also predict daily steps, i.e. within- and between-person perceived barriers, pain or illness, time trends and recurring events. RESULTS All participants finished the study, and adherence to activity bracelet and EMA measurements was high. The implementation of the factorial design was successful, with the dMI features used on average 5.1 times of the 7 available interventions. Biofeedback interventions were used on average 5.7 times out of 7, though three participants used this feature a day later than suggested and one missed all suggested timings. Neither within- nor between-persons analyses revealed and significant intervention effects on step counts. Self-efficacy predicted steps in four individuals. Motivation predicted steps in three individuals. Aggregated data from 14 participants showed group-level effects: daily self-efficacy (B=.462, p CONCLUSIONS The automated factorial N-of-1 trial with the Precious app was mostly feasible and acceptable, especially the automated delivery of the dMI components, while self-conducted biofeedback measurements were more difficult to time correctly. The findings suggest that changes in self-efficacy and motivation may have same-day effects on physical activity, but effects vary between individuals. This study provides recommendations based on the lessons learned on the implementation of factorial N-of-1 RCTs. CLINICALTRIAL The trial was not formally pre-registered, as conventions for registration of factorial n-of-1 experimental studies had not been established prior to this study’s commencement in 2016. However, a dated publicly available version of the study protocol was published just after the start of data collection and prior to any data analyses (Helf et al., 2016, pp. 13–17).

OBJECTIVE: Many adolescents report a lack of physical activity (PA) and excess screen time (ST). Psychological theories aiming to understand these behaviours typically focus on predictors of only one behaviour. Yet, behaviour enactment is often a choice between options. This study sought to examine predictors of PA and ST in a single model. Variables were drawn from dual process models, which portray behaviour as the outcome of deliberative and automatic processes. DESIGN: 411 Finnish vocational school students (age 17-19) completed a survey, comprising variables from the Reasoned Action Approach (RAA) and automaticity pertaining to PA and ST, and self-reported PA and ST four weeks later. MAIN OUTCOME MEASURES: Self-reported time spent on PA and ST and their predictors. RESULTS: PA and ST correlated negatively (r = -.17, p = .03). Structural equation modelling revealed that intentions and habit for PA predicted PA while ST was predicted by intentions and habit for ST and negatively by PA intentions. RAA-cognitions predicted intentions. CONCLUSION: PA and ST and their psychological predictors seem to be weakly interlinked. Future studies should assess more behaviours and related psychological influences to get a better picture of connections between different behaviours. UNLABELLED: HighlightsPhysical activity and screen time are largely mutually exclusive classes of behaviours and might therefore be related in terms of their psychological predictors.411 adolescent vocational school students self-reported variables from the Reasoned Action Approach and behavioural automaticity related to physical activity and leisure time screen time behaviours as well as those behaviours.Structural equation modelling revealed expected within-behaviour predictions but, against expectations, no strong connections between the two behaviour classes in terms of their predictors. Only intentions to engage in physical activity negatively predicted screen time.Future research should aim to measure a wider range of mutually exclusive classes of behaviours that cover a large share of the day to uncover relations between behaviours and their respective predictors. publishedVersion

Studies indicate that the healthy Nordic diet may improve heart health, but its relation to weight change is less clear. We studied the association between the adherence to the healthy Nordic diet and long-term changes in weight, BMI and waist circumference. Furthermore, the agreement between self-reported and measured body anthropometrics was examined. The population-based DIetary, Lifestyle and Genetic Determinants of Obesity and Metabolic syndrome Study in 2007 included 5024 Finns aged 25–75 years. The follow-up was conducted in 2014 (n 3735). One-third of the participants were invited to a health examination. The rest were sent measuring tape and written instructions along with questionnaires. The Baltic Sea Diet Score (BSDS) was used to measure adherence to the healthy Nordic diet. Association of the baseline BSDS and changes in BSDS during the follow-up with changes in body anthropometrics were examined using linear regression analysis. The agreement between self-reported and nurse-measured anthropometrics was determined with Bland–Altman analysis. Intra-class correlation coefficients between self-reported and nurse-measured anthropometrics exceeded 0·95. The baseline BSDS associated with lower weight (β=−0·056, P=0·043) and BMI (β=−0·021, P=0·031) over the follow-up. This association was especially evident among those who had increased their BSDS. In conclusion, both high initial and improved adherence to the healthy Nordic diet may promote long-term weight maintenance. The self-reported/measured anthropometrics were shown to have high agreement with nurse-measured values which adds the credibility of our results.

Lowered costs of genomic sequencing facilitate analyzing large segments of genetic data. Ethical debate has focused on whether and what kind of incidental or secondary findings (SFs) to report, and how to obtain valid informed consent. However, people’s support needs after receiving SFs have received less attention. We explored Finnish adults’ perspectives on reporting genetic SFs. In this qualitative study which included four focus group discussions (N = 23) we used four vignette letters, each reporting a genetic SF predisposing to a different disease: familial hypercholesterolemia, long QT syndrome, Lynch syndrome, and Li-Fraumeni syndrome. Transcribed focus group discussions were analyzed using inductive thematic analysis. Major themes were immediate shock, dealing with worry and heightened risk, fear of being left alone to deal with SFs, disclosing to family, and identified support needs. Despite their willingness to receive SFs, participants were concerned about being left alone to deal with them. Empathetic expert support and timely access to preventive care were seen as essential to coping with shock and worry, and disclosing SFs to family. Discussion around SFs needs to concern not only which findings to report, but also how healthcare systems need to prepare for providing timely access to preventive care and support for individuals and families. Lowered costs of genomic sequencing facilitate analyzing large segments of genetic data. Ethical debate has focused on whether and what kind of incidental or secondary findings (SFs) to report, and how to obtain valid informed consent. However, people’s support needs after receiving SFs have received less attention. We explored Finnish adults’ perspectives on reporting genetic SFs. In this qualitative study which included four focus group discussions (N = 23) we used four vignette letters, each reporting a genetic SF predisposing to a different disease: familial hypercholesterolemia, long QT syndrome, Lynch syndrome, and Li-Fraumeni syndrome. Transcribed focus group discussions were analyzed using inductive thematic analysis. Major themes were immediate shock, dealing with worry and heightened risk, fear of being left alone to deal with SFs, disclosing to family, and identified support needs. Despite their willingness to receive SFs, participants were concerned about being left alone to deal with them. Empathetic expert support and timely access to preventive care were seen as essential to coping with shock and worry, and disclosing SFs to family. Discussion around SFs needs to concern not only which findings to report, but also how healthcare systems need to prepare for providing timely access to preventive care and support for individuals and families.

Food Go/No-Go training aims to alter implicit food biases by creating associations between perceiving unhealthy foods and withholding a dominant response. Asking participants to repeatedly inhibit an impulse to approach unhealthy foods can decrease unhealthy food intake in laboratory settings. Less is known about how people engage with app-based Go/No-Go training in real-world settings and how this might relate to dietary outcomes. This pragmatic observational study investigated associations between the number of completed app-based food Go/No-Go training trials and changes in food intake (Food Frequency Questionnaire; FFQ) for different healthy and unhealthy food categories from baseline to one-month follow-up. In total, 1234 participants (m(BMI) = 29 kg/ m2, m(age) = 43years, 69% female) downloaded the FoodT app and completed food-Go/No-Go training at their own discretion (mean number of completed sessions = 10.7, sd = 10.3, range: 1-122). In pre-registered analyses, random-intercept linear models predicting intake of different foods, and controlled for baseline consumption, BMI, age, sex, smoking, metabolic syndrome, and dieting status, revealed small, significant associations between the number of completed training trials and reductions in unhealthy food intake (b = -0.0005, CI95 = [-0.0007;0.0003]) and increases in healthy food intake (b = 0.0003, CI95 = [0.0000; 0.0006]). These relationships varied by food category, and exploratory analyses suggest that more temporally spaced training was associated with greater changes in dietary intake. Taken together, these results imply a positive association between the amount of training completed and beneficial changes in food intake. However, the results of this pragmatic study should be interpreted cautiously, as self-selection biases, motivation and other engagement-related factors that could underlie these associations were not accounted for. Experimental research is needed to rule out these possible confounds and establish causal dose-response relationships between patterns of engagement with food Go/No-Go training and changes in dietary intake.

Background Prechoolers’ significant portions of sedentary time (ST) is a public-health concern due to its high prevalence and negative health consequences. However, few studies have explored correlates of preschoolers’ ST covering individual-, home- and preschool- factors within one study. The aim of this study was to identify the associations between multiple individual-, home- and preschool-level factors and preschoolers’ ST. In addition, it was studied how much individual-, home- and preschool-level factors explained the variance in children’s ST. Methods A total of 864 children aged three to six, their parents and 66 preschools participated in the cross-sectional DAGIS study, which occurred between 2015 and 2016. The children wore an accelerometer for 1 week. Guardians, principals and early educators completed questionnaires covering the potential correlates of children’s ST, for example, temperament, practices, self-efficacy and regulations. Multilevel regression analyses were conducted in multiple steps; calculation of marginal and conditional R2 values occurred in the final phase. Results Of the 29 studied correlates, the following factors remained significant in the final models. Being a boy (p p p = 0.014) were associated with lower ST. Higher parental perceived barriers related to children’s outside PA (p = 0.032) was associated with higher ST. None of the preschool setting factors remained significant in the final model. Approximately 11% of the variance in children’s ST was attributed to factors related to the individual level whereas 5% was attributed to home-level factors; and 2% to preschool-level factors. Conclusions This study identified a set of correlates of preschool children’s ST. Interventions aimed at reducing children’s ST should develop strategies targeting established correlates of preschoolers’ ST covering individual-, home- and preschool-level factors. The preschool-level factors included in this study explained little the variance in children’s ST. However, the included measures may not have captured the essential preschool-level factors that specifically influence children’s ST. Therefore, more studies are needed regarding potential preschool-level factors.

Background Emotional eating (i.e. eating in response to negative emotions) has been suggested to be one mechanism linking depression and subsequent development of obesity. However, studies have rarely examined this mediation effect in a prospective setting and its dependence on other factors linked to stress and its management. We used a population-based prospective cohort of adults and aimed to examine 1) whether emotional eating mediated the associations between depression and 7-year change in body mass index (BMI) and waist circumference (WC), and 2) whether gender, age, night sleep duration or physical activity moderated these associations. Methods Participants were Finnish 25- to 74-year-olds who attended the DILGOM study at baseline in 2007 and follow-up in 2014. At baseline (n = 5024), height, weight and WC were measured in a health examination. At follow-up (n = 3735), height, weight and WC were based on measured or self-reported information. Depression (Center for Epidemiological Studies - Depression Scale), emotional eating (Three-Factor Eating Questionnaire-R18), physical activity and night sleep duration were self-reported. Age- and gender-adjusted structural equation models with full information maximum likelihood estimator were used in the analyses. Results Depression and emotional eating were positively associated and they both predicted higher 7-year increase in BMI (R2 = 0.048) and WC (R2 = 0.045). The effects of depression on change in BMI and WC were mediated by emotional eating. Night sleep duration moderated the associations of emotional eating, while age moderated the associations of depression. More specifically, emotional eating predicted higher BMI (P = 0.007 for the interaction) and WC (P = 0.026, respectively) gain in shorter sleepers (7 h or less), but not in longer sleepers (9 h or more). Depression predicted higher BMI (P

Preschool children&rsquo, s high levels of sedentary time (ST) is a public health concern. As preschool reaches a large population of children from different socioeconomic status (SES) backgrounds, more knowledge on how the preschool setting is associated with children&rsquo, s ST is relevant. Our aims were to examine (1) the associations of preschool setting (covering social, physical, and organizational level) with children&rsquo, s ST, and (2) the moderating role of the setting on the association between parental SES and children&rsquo, s ST. In the cross-sectional DAGIS (increased health and wellbeing in preschools) study, the participating children (n = 864, aged 3&ndash, 6 years) were asked to wear an accelerometer for one week. In total, 779 children had valid ST accelerometer data during preschool hours. Preschool setting and parental SES was assessed by questionnaires and observation. Multilevel linear regression models with cross-level interactions were applied to examine the associations. Early educators&rsquo, practice of breaking children&rsquo, s ST often, more frequent physical activity (PA) theme weeks, and higher number of physical education (PE) lessons were associated with lower children&rsquo, s ST. Higher parental SES was associated with higher children&rsquo, s ST in preschools (1) with organized sedentary behavior theme weeks, (2) with a lower number of PA theme weeks, and (3) with a lower number of PE lessons. The factors identified in this study could be targeted in future interventions.

Aims: Swedish smokeless tobacco (snus) is a lower-risk tobacco product than cigarette smoking for individuals. However, the public health impact of snus use is less well studied. Critically, it is uncertain whether use of snus leads to the onset of smoking. This study aimed to investigate prospectively the association between snus experimentation in late adolescence and daily cigarette smoking in early adulthood among Finnish young men. Methods: Data were obtained from 1090 young men within the population-based FinnTwin12 cohort. At baseline (mean age 17 years), we assessed lifetime use of cigarettes and snus, plus other potential predictors of cigarette smoking. At follow-up (mean age 24 years), participants were categorized according to their current smoking status. The final analyses were conducted among 375 young men who were never smokers at baseline with adequate data on follow-up smoking status and other potential predictors of cigarette smoking. Results: Age-adjusted logistic regressions showed an increased risk of becoming a daily smoker at follow-up among those participants who had at least tried snus but had never smoked cigarettes at baseline (odds ratio (OR) 6.48, 95% confidence interval (CI) 2.02–20.7), compared with those who had never used snus. When additionally adjusted for monthly alcohol intoxication, maternal smoking, and peer drug use, the association between snus experimentation and later daily cigarette smoking was attenuated, but remained significant (OR 3.94, 95% CI 1.22–12.7). Conclusions: Our data support the proposition that snus experimentation during late adolescence is longitudinally associated with daily cigarette smoking in early adulthood. Although a causal association cannot be inferred with certainty, snus experimentation might constitute an indicator of the propensity to proceed to regular snus use and initiation of use of other tobacco or nicotine products.

Food Go/No-Go training aims to alter implicit food biases by creating associations between perceiving unhealthy foods and withholding a dominant response. Asking participants to repeatedly inhibit an approach impulse to unhealthy foods can decrease unhealthy food intake in laboratory settings. However, less is known about the engagement with, and effects of, repeated training on mobile devices in real-world settings. This study investigated how the number of completed app-based food Go/No-Go training blocks related to changes in food intake (Food Frequency Questionnaire; FFQ) for different healthy and unhealthy food categories from baseline to one-month follow-up. In total, 1234 participants (m(BMI)=29kg/m2, m(age)=43years, 69% female) downloaded the FoodT app and completed food-Go/No-Go training at their own discretion (mean number of completed sessions = 10.7). In pre-registered analyses, random-intercept linear models predicting intake of different foods while controlling for baseline consumption, BMI, age, gender, smoking, and dieting status revealed a small, significant effect of the number of training blocks on reducing unhealthy food intake (β=-0.004, CI95=[-0.006; -0.002]) and increasing healthy food intake (β =0.003, CI95=[0; 0.005]). These relationships varied by food category from β =-0.059, CI95=[-0.094; -0.025] for pizza to β =0.002, CI95=[-0.001; 0.005] for fruit, indicating different levels of training efficiency. Exploratory analyses suggest that spacing out training leads to larger effects. Taken together, these results imply that, depending on food category, completing from 8 to 24, four-minute sessions of Go/No-Go training, leads to reductions of 1-point on the FFQ (e.g., from 2 or 3 times a day to once a day) and that more training yields larger changes in food intake. Future experimental designs may be required to further investigate ideal dosage and usage patterns for reducing unhealthy food intake.

Go/No‐Go tasks, which require participants to inhibit automatic responses to images of palatable foods, have shown diagnostic value in quantifying food‐related impulses. Moreover, they have shown potential for training to control impulsive eating. To test the hypothesis that training modulates early neural markers of response inhibition, the current study investigated how the N2 event‐related brain potential to high‐ and low‐calorie food images changes along Go‐/No‐Go training and how the N2 is related to later eating behavior. 50 healthy adults, (mBMI = 23.01) first completed a food Go/No‐Go task in which high‐ and low‐calorie food images were accompanied by Go‐and No‐Go‐cues with equal frequency. Participants then completed a training block in which high‐calorie foods were predominantly paired with a No‐Go cue and the low‐calorie foods with a Go cue, followed by a block with reversed coupling (order of the training blocks counterbalanced between participants). After each training, there was a snacking opportunity during which calorie intake was measured. Against our preregistered hypotheses, the N2‐amplitudes were not significantly affected by the calorie‐content and there was no training‐related modulation in the N2. In addition , food intake was not influenced by the preceding training blocks and the N2 amplitude did not predict the food intake. Our study suggests that the link between N2 obtained in a food‐related Go/No‐Go task and impulse control is not clear‐cut and may be limited to specific task characteristics. The results are of high importance as they question the previously assumed mechanism of Go/No‐Go training in food‐related inhibitory control.

Purpose This study examined the developmental trajectories of self-esteem and body mass index (BMI) from adolescence to mid-adulthood and the way the association between self-esteem and BMI changed during a 26-year follow-up. Methods Participants of a Finnish cohort study in 1983 at 16 years (N = 2194) were followed up at ages 22 (N = 1656), 32 (N = 1471), and 42 (N = 1334) using postal questionnaires. Measures at each time point covered self-esteem and self-reported weight and height. Analyses were done using latent growth curve models (LGM) and difference scores. Results In LGM analyses among females both the initial levels (r = -0.13) and slopes (r = -0.26) of the self-esteem and BMI trajectories correlated negatively. Among males, there were no significant correlations between self-esteem and BMI growth factors. The association between increasing BMI and decreasing self-esteem among females was strongest between ages 22 and 32 (r = -0.16), while among males, increases in BMI and self-esteem correlated positively (r = 0.11) during that period. Among females, cross-sectional correlations between self-esteem and BMI showed an increasing trend (p

OBJECTIVES: There is no consensus on whether cognitive control over food intake (that is, restrained eating) is helpful, merely ineffective or actually harmful in weight management. We examined the interplay between genetic risk of obesity, restrained eating and changes in body weight and size. METHODS: Participants were Finnish aged 25-74 years who attended the Dietary. Lifestyle and Genetic determinants of Obesity and Metabolic syndrome study at baseline in 2007 and follow-up in 2014. At baseline (n=5024), height, weight and waist circumference (WC) were measured in a health examination and participants self-reported their weight at age 20 years. At follow-up (n=3735), height, weight and WC were based on measured or self-reported information. We calculated 7-year change in body mass index (BMI) and WC and annual weight change from age 20 years to baseline. Three-Factor Eating Questionnaire-R18 was used to assess restrained eating. Genetic risk of obesity was assessed by calculating a polygenic risk score of 97 known BMI-related loci. RESULTS: Cross-lagged autoregressive models indicated that baseline restrained eating was unrelated to 7-year change in BMI (beta=0.00; 95% confidence interval (CI) =-0.01, 0.02). Instead, higher baseline BMI predicted greater 7-year increases in restrained eating (beta = 0.08; 95% CI =0.05, 0.11). Similar results were obtained with WC. Polygenic risk score correlated positively with restrained eating and obesity indicators in both study phases, but it did not predict 7-year change in BMI or WC. However, individuals with higher genetic risk of obesity tended to gain more weight from age 20 years to baseline, and this association was more pronounced in unrestrained eaters than in restrained eaters (P=0.038 for interaction). CONCLUSIONS: Our results suggest that restrained eating is a marker for previous weight gain rather than a factor that leads to future weight gain in middle-aged adults. Genetic influences on weight gain from early to middle adulthood may vary according to restrained eating, but this finding needs to be replicated in future studies.

Background Literature on persuasion suggests compliance increases when requests are accompanied with a reason (i.e. the “because-heuristic”). The reliability of outcomes in physical activity research is dependent on sufficient accelerometer wear-time. This study tested whether SMS reminders—especially those that provided a rationale—are associated with increased accelerometer wear-time. Methods We conducted a within-trial partially randomised controlled trial during baseline data collection in a school-based physical activity intervention trial. Of 375 participants (mean age = 18.1), 280 (75%) opted to receive daily SMS reminders to wear their accelerometers. These 280 participants were then randomised to receive either succinct reminders or reminders including a rationale. Data was analyzed across groups using both frequentist and Bayesian methods. Results No differences in total accelerometer wear minutes were detected between the succinct reminder group (Mdn = 4909, IQR = 3429–5857) and the rationale group (Mdn = 4808, IQR = 3571–5743); W = 8860, p = 0.65, CI95 = − 280.90–447.20. Similarly, we found no differences in wear time between participants receiving SMS reminders (Mdn = 4859, IQR = 3527–5808) and those not receiving them (Mdn = 5067, IQR = 3201–5885); W = 10,642.5, p = 0.77, CI95 = − 424.20–305.30. Bayesian ANOVA favored a model of equal weartime means, over one of unequal means, by a Bayes Factor of 12.05. Accumulated days of valid accelerometer wear data did not differ either. Equivalence testing indicated rejection of effects more extreme than a Cohen’s d (standardised mean difference) of ±~0.3. Conclusions This study casts doubt on the effectiveness of using the because-heuristic via SMS messaging, to promote accelerometer wear time among youth. The because-heuristic might be limited to face-to-face communication and situations where no intention for or commitment to the behavior has yet been made. Other explanations for null effects include non-reading of messages, and reminder messages undermining the self-reminding strategies which would occur naturally in the absence of reminders. Trial registration DRKS DRKS00007721. Registered 14.04.2015. Retrospectively registered. Electronic supplementary material The online version of this article (10.1186/s12889-018-6121-2) contains supplementary material, which is available to authorized users.

Dual-process models integrate deliberative and impulsive mental systems and predict dietary behaviours better than deliberative processes alone. Computerised tasks such as the Go/No-Go, Stop-Signal, Approach-Avoidance, and Evaluative Conditioning have been used as interventions to directly alter implicit biases. This meta-analysis examines the effects of these tasks on dietary behaviours, explores potential moderators of effectiveness, and examines implicit bias change as a proposed mechanism. Thirty randomised controlled trials testing implicit bias interventions (47 comparisons) were included in a random-effects meta-analysis, which indicated small cumulative effects on eating-related behavioural outcomes (g = −0.17, CI95 = [−0.29; −0.05], p = .01) and implicit biases (g = −0.18, CI95 = [−0.34; −0.02], p = .02). Task type moderated these effects, with Go/No-Go tasks producing larger effects than other tasks. Effects of interventions on implicit biases were positively related to effects on eating...

Theories of behaviour change and health behaviour change interventions are most often evaluated in between-person designs. However, behaviour change theories apply to individuals not groups and behavioural interventions ultimately aim to achieve within-person rather than between-group change. Within-person methodology, such as N-of-1 (also known as single case design), can circumvent this issue, though has multiple design-specific challenges. This paper provides a conceptual review of the challenges and potential solutions for undertaking N-of-1 studies in health psychology. Key challenges identified include participant adherence to within-person protocols, carry-over and slow onset effects, suitability of behaviour change techniques for evaluation in N-of-1 experimental studies, optimal allocation sequencing and blinding, calculating power/sample size, and choosing the most suitable analysis approach. Key solutions include involving users in study design, employing recent technologies for unobtrusive data collection and problem solving by design. Within-person designs share common methodological requirements with conventional between-person designs but require specific methodological considerations. N-of-1 evaluation designs are appropriate for many though not all types of interventions. A greater understanding of patterns of behaviours and factors influencing behaviour change at the within-person level is required to progress health psychology into a precision science. Video abstract: Supplementary Material 1.

The introduction of Web 2.0 technology, along with a population increasingly proficient in Information and Communications Technology (ICT), coupled with the rapid advancements in genetic testing methods, has seen an increase in the presence of participant-centred research initiatives. Such initiatives, aided by the centrality of ICT interconnections, and the ethos they propound seem to further embody the ideal of increasing the participatory nature of research, beyond what might be possible in non-ICT contexts alone. However, the majority of such research seems to actualise a much narrower definition of ‘participation’—where it is merely the case that such research initiatives have increased contact with participants through ICT but are otherwise non-participatory in any important normative sense. Furthermore, the rhetoric of participant-centred initiatives tends to inflate this minimalist form of participation into something that it is not, i.e. something genuinely participatory, with greater connections with both the ICT-facilitated political contexts and the largely non-ICT participatory initiatives that have expanded in contemporary health and research contexts. In this paper, we highlight that genuine (ICT-based) ‘participation’ should enable a reasonable minimum threshold of participatory engagement through, at least, three central participatory elements: educative, sense of being involved and degree of control. While we agree with criticisms that, at present, genuine participation seems more rhetoric than reality, we believe that there is clear potential for a greater ICT-facilitated participatory engagement on all three participatory elements. We outline some practical steps such initiatives could take to further develop these elements and thereby their level of ICT-facilitated participatory engagement., This study was funded by COST (grant number = COST Action IS1303); Brigida Riso is supported by FCT-the Portuguese Foundation for Science and Technology under the PhD grant SFRH/BD/100779/2014.

Background. As school days among adolescents include long periods of prolonged sitting, teachers are key agents to deliver interventions to reduce youth sedentary behavior. To develop an intervention, acceptability and feasibility of alternative strategies should be tested. We aimed to examine teachers’ current use and willingness to use various strategies to decrease student sitting and potential barriers and facilitators of use. Method. Mixed-methods design with college teachers using an online cross-sectional survey (n = 192) and focus group interviews (n = 13). Findings. Although a vast majority (87%) of the teachers found reducing prolonged sitting an important goal, only 47% were actually including practices to reduce sitting in their classroom. 89% of the teachers reported willingness to use at least one of the five alternative strategies presented. Focus groups revealed a discussion emphasis on environmental opportunity and motivation as key to implementation. Teachers also generated additional ideas for intervention content. Discussion. Despite low levels of current sitting reduction, teachers were willing to try at least one strategy to reduce sitting. Results informed intervention development regarding parameters of use for each strategy. When possible, interventions should provide teachers with a variety of alternative strategies that are easy to use to reduce prolonged sitting.

Purpose The purpose of this study is to investigate the role of motivation for knowledge sharing (KS) by assessing how four qualitatively different motivation types, as per self-determination theory (SDT), predict KS, its quality and its undesirable counterpart, knowledge withholding. Design/methodology/approach The study was carried out as a survey (n = 200) in an expert organization. The analyses were conducted using structural equation modeling. Findings Autonomous type of extrinsic motivation (identified motivation) was the strongest predictor of KS (in work meetings) and its quality, whereas the other motivation types (intrinsic, introjected and external) had no independent contribution to variance in KS. Knowledge withholding was negatively associated with identified and positively with external KS motivation. Research limitations/implications Single organization limits the generalizability of the results. Future studies should further investigate the role of identified motivation for various KS behaviors. Practical implications The findings suggest that autonomy-supportive management practices known to facilitate self-determined behavior can improve KS. Fostering external motivation by incentivizing KS may be both ineffective and have undesirable consequences. Originality/value Few prior studies investigate KS motivation beyond external and intrinsic motivation or apply SDT to KS using SDT-based scales. This study distinguishes between four different motivation types and is the first to investigate their differential impact on KS and its quality. It is also the first to demonstrate the importance of identified motivation for KS. It further elucidates how the quality of KS motivation is reflected in knowledge withholding, an overall underinvestigated behavior.

BACKGROUND Most adults do not engage in sufficient physical activity to maintain good health. Smartphone apps are increasingly used to support physical activity but typically focus on tracking behaviors with no support for the complex process of behavior change. Tracking features do not engage all users, and apps could better reach their targets by engaging users in reflecting their reasons, capabilities, and opportunities to change. Motivational interviewing supports this active engagement in self-reflection and self-regulation by fostering psychological needs proposed by the self-determination theory (ie, autonomy, competence, and relatedness). However, it is unknown whether digitalized motivational interviewing in a smartphone app engages users in this process. OBJECTIVE This study aimed to describe the theory- and evidence-based development of the Precious app and to examine how digitalized motivational interviewing using a smartphone app engages users in the behavior change process. Specifically, we aimed to determine if use of the Precious app elicits change talk in participants and how they perceive autonomy support in the app. METHODS A multidisciplinary team built the Precious app to support engagement in the behavior change process. The Precious app targets reflective processes with motivational interviewing and spontaneous processes with gamified tools, and builds on the principles of self-determination theory and control theory by using 7 relational techniques and 12 behavior change techniques. The feasibility of the app was tested among 12 adults, who were asked to interact with the prototype and think aloud. Semistructured interviews allowed participants to extend their statements. Participants’ interactions with the app were video recorded, transcribed, and analyzed with deductive thematic analysis to identify the theoretical themes related to autonomy support and change talk. RESULTS Participants valued the autonomy supportive features in the Precious app (eg, freedom to pursue personally relevant goals and receive tailored feedback). We identified the following five themes based on the theory-based theme autonomy support: valuing the chance to choose, concern about lack of autonomy, expecting controlling features, autonomous goals, and autonomy supportive feedback. The motivational interviewing features actively engaged participants in reflecting their outcome goals and reasons for activity, producing several types of change talk and very little sustain talk. The types of change talk identified were desire, need, reasons, ability, commitment, and taking steps toward change. CONCLUSIONS The Precious app takes a unique approach to engage users in the behavior change process by targeting both reflective and spontaneous processes. It allows motivational interviewing in a mobile form, supports psychological needs with relational techniques, and targets intrinsic motivation with gamified elements. The motivational interviewing approach shows promise, but the impact of its interactive features and tailored feedback needs to be studied over time. The Precious app is undergoing testing in a series of n-of-1 randomized controlled trials.

Purpose– This paper aims to investigate cognitive antecedents of knowledge sharing (KS) by applying a belief elicitation study and embedding KS in an organizationally relevant context, work meetings.Design/methodology/approach– The study was carried out in two phases: an elicitation study (n= 18), and a survey (n= 200) based on its findings. The method, which combines a qualitative and a quantitative approach, is frequently used in the study of other behaviors (e.g. health behaviors) when applying the theory of planned behavior (TPB).Findings– Belief-based measures, informed by the elicitation study, were meaningful predictors of KS intentions. In line with TPB, attitudes, subjective norms and perceived behavioral control explained 47.7 per cent of the variance in KS intentions, which together with perceived behavioral control explained 55.2 per cent of the variance in KS behavior. Behavioral beliefs reflecting positive collective outcomes (new perspectives, knowledge diffusion/collective learning, increased interaction) were the most important predictors.Research limitations/implications– Single organization and the study design limit generalizability of the results.Practical implications– The findings suggest that by eliciting shared beliefs relating to specific KS behaviors, organizations may come a long way in understanding and subsequently influencing these behaviors.Originality/value– This is the first study to apply TPB on KS by investigating the underlying beliefs using an elicitation study. By demonstrating its utility, the study not only lays avenue for evidence-based interventions to improve KS in organizations, but also presents a method that bridges the gap between quantitative and qualitative approaches to KS.

Introduction: Concerns about weight gain occurring after smoking cessation may affect motivation and self-efficacy towards quitting smoking. We examined associations of smoking-specific weight concerns with smoking cessation motivation and self-efficacy in a population-based crosssectional sample of daily smokers. Methods: Six-hundred biochemically verified (blood cotinine) current daily smokers comprising 318 men and 282 women aged 25‐74 years, were studied as part of the National FINRISK (Finnish Population Survey on Risk Factors on Chronic, Noncommunicable Diseases) study and its DIetary, Lifestyle and Genetic factors in the development of Obesity and Metabolic syndrome (DILGOM) sub-study that was conducted in Finland in 2007. Self-reported scales were used to assess weight concerns, motivation and self-efficacy regarding the cessation of smoking. Multiple regression analyses of concerns about weight in relation to motivation and self-efficacy were conducted with adjustments for sex, age (years), body mass index (BMI, [kg/m 2 ]), physical activity (times per week), and further controlled for nicotine dependence (Fagerstrom Test for Nicotine Dependence). Results: Higher levels of weight concerns were associated with lower self-eff icacy (β = −0.07, p < .001) after adjusting for sex and age. The association remained after additional adjustment for BMI and physical activity (β = −0.07, p < .001). After further controlling for nicotine dependence the association became weaker but remained significant (β = −0.04, p = .02). There were no statistically significant associations between concerns about weight and motivation for smoking cessation (β = 0.02, p = 0.16). Conclusions: These cross-sectional population-based data do not support earlier findings that suggest that smokers with high levels of weight concerns are less motivated to quit smoking. Our data suggest that daily smokers who are highly concerned about weight may have lower self-efficacy for cessation of smoking.

This study tested the predictive validity of a multitheory process model in which the effect of autonomous motivation from self-determination theory on physical activity participation is mediated by the adoption of self-regulatory techniques based on control theory. Finnish adolescents (N = 411, aged 17–19) completed a prospective survey including validated measures of the predictors and physical activity, at baseline and after one month (N = 177). A subsample used an accelerometer to objectively measure physical activity and further validate the physical activity self-report assessment tool (n = 44). Autonomous motivation statistically significantly predicted action planning, coping planning, and self-monitoring. Coping planning and self-monitoringmediated the effect of autonomous motivation on physical activity, although self-monitoring was the most prominent. Controlled motivation had no effect on self-regulation techniques or physical activity. Developing interventions that support autonomous motivation for physical activity may foster increased engagement in self-regulation techniques and positively affect physical activity behavior.

Family history is a useful and inexpensive tool to assess risks of multifactorial diseases. Family history enables individualized disease prevention, but its effects on perceived risks of various diseases need to be understood in more detail. We examined how family history relates to perceived risk of diabetes mellitus, cardiovascular disease (CVD), cancer, and depression, and whether these associations are independent of or moderated by sociodemographic factors, health behavior/weight status (smoking, alcohol consumption, physical activity, BMI [kg/m(2)]), or depressive symptoms.Participants were Finnish 25-74-year-olds (N=6258) from a population-based FINRISK 2007 study. Perceived absolute lifetime risks (Brewer et al., 2004; Becker, 1974; Weinstein and Nicolich, 1993; Guttmacher et al., 2004; Yoon et al., 2002) and first-degree family history of CVD, diabetes, cancer and depression, and health behaviors were self-reported. Weight and height were measured in a health examination.Family history was most prevalent for cancer (36.7%), least for depression (19.6%). Perceived risk mean was highest for CVD (2.8), lowest for depression (2.0). Association between family history and perceived risk was strongest for diabetes (β=0.34, P0.001), weakest for depression (β=0.19, P0.001). Adjusting for sociodemographics, health behavior, and depressive symptoms did not change these associations. The association between family history and perceived risk tended to be stronger among younger than among older adults, but similar regardless of health behaviors or depressive symptoms.Association between family history and perceived risk varies across diseases. People's current understandings on heritability need to be acknowledged in risk communication practices. Future research should seek to identify effective strategies to combine familial and genetic risk communication in disease prevention.

ObjectiveA low socio-economic status (SES) is related to less healthy dietary habits, but the reasons for this remain unclear. We examined whether the absolute or relative importance of various food choice motives contributed to SES disparities in vegetable/fruit and energy-dense food intake.DesignWe analysed cross-sectional data from the FINRISK Study 2007 by means of structural equation modelling and used a shortened version of the Food Choice Questionnaire to assess the absolute importance of health, pleasure, convenience, price, familiarity and ethicality motives. We calculated the relative importance of each motive by dividing the participant's rating of it by his/her mean score on all motives. Dietary intake was measured with an FFQ.SettingA population-based survey in Finland.SubjectsMen (n 1691) and women (n 2059) aged 25–64 years.ResultsHigher education and income were related to a greater vegetable/fruit intake (β = 0·12, P < 0·001), while education was associated negatively with the consumption of energy-dense foods (β = −0·09, P < 0·001). Socio-economically disadvantaged individuals considered price and/or familiarity more important in their food choices in both absolute and relative terms. A higher income was related to a greater relative importance of health considerations. Relative motives were more strongly associated with vegetable/fruit and energy-dense food consumption than absolute motives and the relative importance of price, familiarity and health partly mediated the effects of the SES indicators on the consumption of these food items.ConclusionsIndividual priorities in food choice motives, rather than the absolute importance of single motives, play a role in producing SES disparities in diet.

Introduction Low socio-economic status (SES) is strongly related to smoking, but studies examining the association of SES with nicotine dependence (ND) are scarce. The aim of this study was to examine the associations of SES and marital status with smoking, multiple measures of ND, and cotinine as a nicotine intake biomarker. Methods The sample comprised 1746 ever smokers, sampled from the National FINRISK 2007 Study, who had completed a tobacco specific questionnaire in addition to the standard clinical examination. The Fagerstrom Test for Nicotine Dependence (FTND), the Heaviness of Smoking Index (HSI), the Nicotine Dependence Syndrome Scale (NDSS), and the Hooked On Nicotine Checklist (HONC) were assessed, while plasma cotinine was measured as a biomarker of nicotine exposure in daily smokers. Univariate and multivariate associations were assessed by linear regression and multinomial logistic regression. Results In multivariate models, lower education was associated with higher FTND and HSI, income with HSI, and occupation with HSI (men only), FTND, HONC and NDSS scores. Lower education was related to higher cotinine levels among daily smokers, although the association diminished slightly after adjusting for daily smoking amount. Living without a spouse was associated with daily smoking and higher ND. Conclusion In this cross-sectional study low SES was linked with higher ND among current smokers, while low SES was associated with higher cotinine levels among daily smokers. Living alone was linked with higher ND. Longitudinal studies are warranted to further explore these associations. As lower SES smokers are more addicted they may need more targeted cessation services to succeed in quitting smoking.

Although previous studies have shown that unhealthy eating is associated with a positive image of a typical unhealthy eating peer (prototype), their focus on prototypes is typically narrow/limited. The present study addresses this gap in the literature and investigates two aspects in peer evaluations: (1) healthy vs. unhealthy and (2) abstainer vs. chooser. Moreover, their mean differences, interrelationships and associations with eating behavior will be examined. Methods: Men in military service (N = 1824, Age M = 19.8) reported their eating behaviors and evaluated either (a) Vegetable chooser and Vegetable abstainer prototypes (N = 920) or b) Fat chooser and Fat abstainer prototypes (N = 904) on a scale containing 17 antonyms. Exploratory and confirmatory factor analyses suggested a three-factor structure: Self-regulation, Social standing in peer group and Appearance (Comparative Fit Indexes 0.82–0.87; Tucker–Lewis index 0.78–0.84; Root Mean Square Error of Approximation 0.07–0.08). Results: Healthy eaters (i.e. Vegetable chooser and Fat abstainer) were evaluated higher on Self-regulation and Appearance than respective unhealthy eaters (i.e. Vegetable abstainer and Fat chooser) (ps

The mechanisms through which genes influence body weight are not well understood, but appetite has been implicated as one mediating pathway. Here we use data from two independent population-based Finnish cohorts (4632 adults aged 25–74 years from the DILGOM study and 1231 twin individuals aged 21–26 years from the FinnTwin12 study) to investigate whether two appetitive traits mediate the associations between known obesity-related genetic variants and adiposity. The results from structural equation modelling indicate that the effects of a polygenic risk score (90 obesity-related loci) on measured body mass index and waist circumference are partly mediated through higher levels of uncontrolled eating (βindirect = 0.030–0.032, P indirect = 0.020–0.022, P indirect = 0.013–0.015, P = 0.043–0.044 in FinnTwin12). Our findings suggest that genetic predispositions to obesity may partly exert their effects through appetitive traits reflecting lack of control over eating or eating in response to negative emotions. Obesity prevention and treatment studies should examine the impact of targeting these eating behaviours, especially among individuals having a high genetic predisposition to obesity.

Background The role and meaning of genetic information has grown considerably in the recent decades. We examined changes in causal beliefs about morbidity as well as the associations between causal beliefs, health behaviors and obesity, and health outcome beliefs from 1982 to 2002. Methods In five population-based risk-factor surveys (the FINRISK Studies) of individuals aged 25 to 64 years conducted from 1982 to 2002 (n = 37,503), respondents chose the most important cause of morbidity from a list of ten alternatives. Health outcome beliefs were assessed with two items. Physical inactivity and smoking status were based on self-reports and obesity was based on measured height and weight. Results The prevalence of those who endorse genetic factors as the most important cause of morbidity increased from 4% in 1982 to 10% in 1992 and remained at that level until 2002. During the study period, lack of exercise and overweight increased, whereas inappropriate diet and stress diminished as causal beliefs about morbidity. Smokers and physically inactive were more likely to endorse genetic than behavioral causes of morbidity, whereas obese respondents were more likely to choose overweight over genetic causes of morbidity. Those who endorse genetic factors as the most important cause had more pessimistic outcome beliefs about health behavior changes, but these outcome beliefs became more positive in all causal belief groups during the study period. Conclusion Despite increased public discussion of genomics, the relative proportion of those who endorse genetic factors as the most important cause of morbidity has remained low. However, within this group beliefs about benefits of health behavior changes have become more positive. This could indicate that increase in genomic health information does not lead to more negative appraisals of efficacy of lifestyle changes. BioMed Central open access

OBJECTIVE: This study examined the impact of socioeconomic status (SES) on changes in psychological resources and whether these changes in turn moderate the effect of SES on distress symptoms in a prospective 10-year follow-up among young adults. METHOD: Subjects (N = 1239) were participants in two phases (1989, 22 years; 1999, 32 years) of a Finnish cohort study. The measurements were SES (basic education at 22 years, occupation at 32 years), distress symptoms (index of 17 somatic and mental complaints), and psychological resources (self-esteem, meaningfulness, locus of control). RESULTS: The results showed that lower SES is associated with poorer psychological resources both concurrently and prospectively. Lower SES at age 22 also predicted slower resource development, but only among females. In prospective analyses among both genders, changes in psychological resources moderated the effect of SES on distress symptoms: for those with losses in psychological resources, lower SES was associated with greater increases in distress between 22 and 32 years of age, whereas for those with stable or increasing resources, no effects of SES on distress were found. CONCLUSION: The results indicate that higher SES is associated with more favorable changes in psychological resources. In a longitudinal setting, SES differences in health seem to increase only when psychological resources decrease during the same period. The results emphasize the importance of dynamic conceptualizations of psychological resources in SES-health research.

INTRODUCTION: Concern over weight gain after smoking cessation has been hypothesized to discourage quit attempts and consequently reduce smoking cessation rates. The aim of this study was to examine the association between smoking status and weight concerns among a population-based sample of Finnish ever-smokers. METHODS: Data were collected in conjunction with the National FINRISK 2007 Study from a population-based sample of 25- to 74-yearold Finns. These analyses were based on a subsample of 1,614 ever-smokers. Participants were divided into 4 groups (daily smokers, occasional smokers, recent quitters, and former smokers) based on the self-reported smoking status. Weight concerns were analyzed as a sum score including 6 items (range 0-24). Regression analyses were used to examine the association between smoking status and weight concerns, while adjusting for multiple confounders. RESULTS: Smoking status was significantly associated with weight concerns, current daily smokers reporting the highest levels of weight concerns. After adjusting for potential confounders (age, gender, body mass index, socioeconomic status, and health behavior), the weight concerns of daily smokers remained significantly higher in comparison with all other groups. Although women were more concerned about their weight than men, no gender-specific associations were found between weight concerns and smoking status. CONCLUSIONS: Current daily smokers are more concerned about their weight than recent quitters, as well as former and occasional smokers. Weight concerns should be taken into account in tobacco dependence treatment.

We evaluated long-term psychosocial consequences of predictive genetic testing, and surveillance behaviour in Lynch syndrome (LS). We conducted a longitudinal study of 208 participants (62 LS mutation carriers and 146 non-carriers) who provided information on general anxiety (State-Trait Anxiety Inventory), fear of cancer and dying, satisfaction with life, risk and test perceptions, and surveillance behaviour in the baseline questionnaire before testing, and 1 month, 1 year and 7 years post-test. At 7 years, most of the psychosocial variables remained unchanged, regardless of mutation status. Carriers tended to underestimate their colorectal cancer risk but were more worried about their cancer risk than their counterparts. Non-carriers reported a higher degree of satisfaction with their testing decisions (P

Aims: Socioeconomic health inequalities are partly attributed to different physical activity (PA) patterns. Psychosocial factors interacting with PA are suggested to explain the socioeconomic differences in PA to some extent. The aim of the present study was to examine whether PA self-efficacy, PA social support, and general self-control contribute to the socioeconomic status (SES) differences in leisure time physical activity (LTPA) and in total PA. Methods: The sample consisted of 25–74-year-old Finnish men ( n = 2325) and women ( n = 2699), who participated in the cross-sectional FINRISK Study in 2007. Physical activity was measured as total PA (MET-h/week) and as LTPA (inactive/active). A psychosocial factor questionnaire included scales measuring PA self-efficacy, PA social support, and general self-control. SES was defined by household gross income and years of education. Results: Both higher education and income were associated with higher levels of LTPA, whereas total PA was higher among those with lower SES. Subjects with high SES reported higher levels of PA self-efficacy and PA social support, but general self-control correlated only with higher income. PA self-efficacy, PA social support and general self-control had positive associations with both LTPA and total PA. These psychosocial factors partly explained the SES differences in LTPA, but not in total PA. Conclusions: Future intervention studies should examine whether, by influencing PA self-efficacy, PA social support, and general self-control, it is possible to diminish the SES differences in PA.

Background: In this study, we examined how biobank study participants, who were found to have long QT syndrome (LQTS), a potentially life-threatening but treatable cardiac arrhythmia condition, experienced the process of disclosure of unexpected results and referral to health care. Methods: All 27 subjects with a LQTS mutation finding were asked to complete a questionnaire. Four participants did not uptake the re-testing and 5 others did not respond to the questionnaire. We received 17 questionnaires from 6 males and 11 females, aged 46-82; 5 of them were also willing to participate in qualitative interviews. Results: Of the respondents, 16/17 had experienced the process of receiving the results as positive and useful, especially if they had had symptoms. One respondent experienced the process negatively due to concerns related to informing her children. All respondents felt that genetic results should be reported back to the participants, while 2 indicated that this should occur only in the case of treatable conditions. Respondents had informed all of their children about the genetic condition, except 2 minors. Conclusions: The respondents from a population biobank study who were informed about an unexpected genetic finding evaluated this process as mainly positive. They considered that delivering genetic information about a life-threatening but actionable condition has more beneficial than adverse consequences. The feedback policy for biobanks should include how and who is informed, advise treatment or care pathways for actionable findings, and it should also include suitable options for those who do not want to know about such findings.

ObjectivesThis study examined the associations of parental socioeconomic status (SES) with preschoolers’ objectively measured sedentary time (SED) over the course of a week and with parent-reported children’s screen and reading times at home as indicators of sedentary behaviours (SB).DesignCross-sectional.SettingIn years 2015 and 2016 in Finland.Participants864 children, aged 3–6 years, with their parents.Outcome measuresChildren’s accelerometer data were transformed into average SED minutes per hour in different contexts (preschool, home during preschool days, weekend and total). Parent-reported children’s screen and reading times were expressed as average daily minutes. The SES indicators (maternal and paternal education and relative household income) were grouped into three categories. Linear or logistic regression analyses were used, with municipality, season, and children’s gender and age as covariates. CIs were adjusted for clustering at the preschool group level.ResultsChildren with low maternal (β=17.21, 95% CI: 8.71 to 25.71) and paternal (β=10.54, 95% CI: 0.77 to 20.30) education had more overall screen time at home than their more advantaged counterparts. SES differences in overall screen time were mostly explained by TV viewing. Children with low as opposed to high maternal education (β=−2.66, 95% CI: −4.95 to –0.38) had less reading time at home. Children whose fathers were on the middle (β=−1.15, 95% CI: −2.01 to –0.29) educational level had less weekend SED than those with high paternal education. Otherwise, parental SES was not related to objectively measured SED.ConclusionsThe results of this study highlight the fact that the associations between parental SES and preschoolers’ SB are dependent on the indicators of SES and SBs, and vary between different contexts. Generally, parental SES was not associated with SED, whereas some SES differences existed in screen time and reading time at home. Interventions aiming to diminish SES differences in children’s SB should focus on home hours.Trial registration numberISRCTN57165350.

Background: Measurement of social cognitive variables is often restricted to long-term and health-related outcomes. A more comprehensive measurement of cognitive determinants would enable evidence-based design of health behavior interventions with a focus on the most relevant targets. The purpose of this study was to examine the relative impact of different social cognitive determinants on fruit and vegetable (FV) and fast food consumption. Methods: Finnish male conscripts (N = 855, age M = 20) filled in questionnaires on social cognitive factors when entering the military service, and on food consumption frequency after two months. The data were analysed using structural equation modeling. Results: Physical well-being expectation and bad taste expectation were most strongly related to both FV and fat avoidance intentions. Perceived weight gain risk predicted fat avoidance intention, whereas perceived risk for other health problems predicted FV intention. Social self-efficacy was associated with FV intention only. Consumption of both FV and fast food was predicted by action planning and intention. Conclusions: A more careful evaluation of subtypes of social cognitions sheds light on the specific content behind motivation. Such understanding might help in designing more effective intervention messages.