In Search of a Gold Standard Tool for Assessing Knowledge of Stroke: A Systematic Review.

BACKGROUND: Knowledge of stroke is essential to empower people to reduce their risk of these events. However, valid tools are required for accurate and reliable measurement of stroke knowledge. We aimed to systematically review contemporary stroke knowledge assessment tools and appraise their content validity, feasibility, and measurement properties. METHODS: The protocol was registered in PROSPERO (CRD42023403566). Electronic databases (MEDLINE, PsycInfo, CINAHL, Embase, Scopus, Web of Science) were searched to identify published articles (1 January 2015-1 March 2023), in which stroke knowledge was assessed using a validated tool. Two reviewers independently screened titles and abstracts prior to undertaking full-text review. COnsensus-based Standards for the selection of health Measurement INstruments (COSMIN) methods guided the appraisal of content validity (relevance, comprehensiveness, comprehensibility), feasibility, and measurement properties. RESULTS: After removing duplicates, the titles and abstracts of 718 articles were screened; 323 reviewed in full; with 42 included (N = 23 unique stroke knowledge tools). For content validity, all tools were relevant, two were comprehensive, and seven were comprehensible. Validation metrics were reported for internal consistency (n = 20 tools), construct validity (n = 17 tools), cross-cultural validity (n = 15 tools), responsiveness (n = 9 tools), reliability (n = 7 tools), structural validity (n = 3 tools), and measurement error (n = 1 tool). The Stroke Knowledge Test met all content validity criteria, with validation data for six measurement properties (n = 3 rated "Sufficient"). CONCLUSION: Assessment of stroke knowledge is not standardised and many tools lacked validated content or measurement properties. The Stroke Knowledge Test was the most comprehensive but requires updating and further validation for endorsement as a gold standard.

Types of leisure-time physical activity participation in childhood and adolescence, and physical activity behaviours and health outcomes in adulthood: a systematic review.

BACKGROUND: Youth leisure-time physical activity participation benefits physical activity habits and health outcomes later in life. However, it is unknown if certain types of leisure-time physical activity contribute to these benefits in different ways; this knowledge could enhance public health efforts. This systematic review aimed to synthesise evidence of the longitudinal associations between childhood and adolescent leisure-time physical activity on adulthood physical activity behaviours and health outcomes. METHODS: A systematic search of the literature was conducted across five databases from inception to July 2022. English, peer-reviewed observational studies with a minimum of two timepoints of data collection were eligible for inclusion. We included studies that investigated the association between participation in leisure-time physical activity types in children and adolescents (i.e., 5-18 years), and physical activity, mental health, or cardiovascular outcomes in adulthood (i.e., ≥ 18 years). RESULTS: Fourteen studies were included in the review, totalling 34,388 observations across five countries. Running in adolescence was associated with increased adulthood physical activity in both sexes, while sports involvement was associated with an increase in physical activity in males only. Adolescent team sports participation was associated with reduced odds of early adulthood depression, with varying findings for anxiety disorders. There was preliminary evidence of minimum threshold requirements for participation in certain activities before associations with future physical activity or health outcome benefits were observed. CONCLUSIONS: Preliminary findings suggest that the lifelong behavioural and health benefits of adolescent participation in leisure-time physical activity appear to be related to the type of activity undertaken, with potential differences between sexes. With the rarity of longitudinal studies spanning from childhood into adulthood, these findings provide important insights for public health strategies to optimise lifelong health and physical activity participation. PROSPERO REGISTRATION: CRD42022347792.

A Scoping Review of mHealth Interventions for Secondary Prevention of Stroke: Implications for Policy and Practice.

Secondary prevention is a major priority for those living with stroke and may be improved through the use of mobile Health (mHealth) interventions. While evidence for the effectiveness of mHealth interventions for secondary prevention of stroke is growing, little attention has been given to the translation of these interventions into real-world use. In this review, we aimed to provide an update on the effectiveness of mHealth interventions for secondary prevention of stroke, and investigate their translation into real-world use. Four electronic databases and the gray literature were searched for randomized controlled trials of mHealth interventions for secondary prevention of stroke published between 2010 and 2023. Qualitative and mixed-methods evaluations of the trials were also included. Data were extracted regarding study design, population, mHealth technology involved, the intervention, and outcomes. Principal researchers from these trials were also contacted to obtain further translational information. From 1151 records, 13 randomized controlled trials and 4 evaluations were identified; sample sizes varied widely (median, 56; range, 24-4298). Short message service messages (9/13) and smartphone applications (6/13) were the main technologies used to deliver interventions. Primary outcomes of feasibility of the intervention were achieved in 4 trials, and primary outcomes of changes in risk factors, lifestyle behaviors, and adherence to medication improved in 6 trials. Only 1 trial had a hard end point (ie, stroke recurrence) as a primary outcome, and no significant differences were observed between groups. There was evidence for only 1 intervention being successfully translated into real-world use. Further evidence is required on the clinical effectiveness of mHealth interventions for preventing recurrent stroke, and the associated delivery costs and cost-effectiveness, before adoption into real-world settings.

trips4health: a single-blinded randomised controlled trial incentivising adult public transport use for physical activity gain.

BACKGROUND: Public transport users tend to accumulate more physical activity than non-users; however, whether physical activity is increased by financially incentivising public transport use is unknown. The trips4health study aimed to determine the impact of an incentive-based public transport intervention on physical activity. METHODS: A single-blinded randomised control trial of a 16-week incentive-based intervention involved Australian adults who were infrequent bus users (≥ 18 years; used bus ≤ 2 times/week) split equally into intervention and control groups. The intervention group were sent weekly motivational text messages and awarded smartcard bus credit when targets were met. The intervention group and control group received physical activity guidelines. Accelerometer-measured steps/day (primary outcome), self-reported transport-related physical activity (walking and cycling for transport) and total physical activity (min/week and MET-min/week) outcomes were assessed at baseline and follow-up. RESULTS: Due to the COVID pandemic, the trial was abandoned prior to target sample size achievement and completion of all assessments (N = 110). Steps/day declined in both groups, but by less in the intervention group [-557.9 steps (-7.9%) vs.-1018.3 steps/week (-13.8%)]. In the intervention group, transport-related physical activity increased [80.0 min/week (133.3%); 264.0 MET-min/week (133.3%)] while total physical activity levels saw little change [35.0 min/week (5.5%); 25.5 MET-min/week (1.0%)]. Control group transport-related physical activity decreased [-20.0 min/week (-27.6%); -41.3 MET-min/week (-17.3%)], but total physical activity increased [260.0 min/week (54.5%); 734.3 MET-min/week (37.4%)]. CONCLUSION: This study found evidence that financial incentive-based intervention to increase public transport use is effective in increasing transport-related physical activity These results warrant future examination of physical activity incentives programs in a fully powered study with longer-term follow-up. TRIAL REGISTRATION: This trial was registered with the Australian and New Zealand Clinical Trials Registry August 14th, 2019: ACTRN12619001136190; https://www.anzctr.org.au/Trial/Registration/TrialReview.aspx?id=377914&isReview=true.

Socioeconomic status and health-related quality of life after stroke: a systematic review and meta-analysis.

BACKGROUND: Socioeconomic status (SES) is associated with stroke occurrence and survival following stroke but its association with health-related quality of life (HRQoL) following stroke remains uncertain. We performed a systematic review and meta-analysis to examine the association between SES and HRQoL after stroke. METHODS: PubMed, SCOPUS, EMBASE, and Web of Science were searched to identify relevant cohort and case-control studies between January 2000 and May 2022. Two authors screened titles, abstracts and full text articles. One author extracted data from all included studies. Meta-analyses were performed for studies with comparable measurements of SES and HRQoL. Random effects models were used to estimate pooled summary standardised mean differences in HRQoL by SES. RESULTS: Out of 1,876 citations, 39 studies incorporated measurement of overall HRQoL following stroke and were included in the systematic review, with 17 studies included in the meta-analyses. Overall, reports including education, income, occupation and work status effects on HRQoL after stroke were inconsistent among all included 39 studies. In the global meta-analysis of 17 studies, HRQoL among survivors of stroke was lower in the low SES group than in the high SES group (standardised mean difference (SMD) -0.36, 95% CI -0.52, -0.20, p < 0.0001). When using education and income indicators separately, summary effects were similar to those of the global analysis (low versus high education SMD -0.38, 95% CI -0.57, -0.18, p < 0.0001; low versus high income SMD -0.39, 95% CI -0.59, -0.19, p < 0.0001). CONCLUSIONS: Across all SES indicators, people with stroke who have lower SES have poorer overall HRQoL than those with higher SES. Accessibility and affordability of poststroke support services should be taken into consideration when planning and delivering services to people with low SES.

Associations between childhood to adulthood socio-economic mobility and adult diet quality.

The impact of change in socio-economic status (SES) from childhood to adulthood (SES mobility) on adult diet is not well understood. This study examined associations between three SES mobility variables (area disadvantage, education, occupation) and adult diet quality. 1482 Australian participants reported childhood area-level SES in 1985 (aged 10-15 years) and retrospectively reported highest parental education and main occupation (until participant age 12) and own area-level SES, education, occupation and dietary intake in 2004-2006 (aged 26-36 years). A Dietary Guidelines Index (DGI) was calculated from food frequency and habit questionnaires. A higher score (range 0-100) indicated better diet quality. Sex-stratified linear regression models adjusted for confounders. Area-level SES mobility was not associated with diet quality. Compared with stable high (university) education, stable low (school only) was associated with lower DGI scores (males: ß = -5·5, 95 % CI: -8·9, -2·1; females: ß = -6·3, 95 % CI: -9·3, -3·4), as was downward educational mobility (participant's education lower than their parents) (males: ß = -5·3, 95 % CI: -8·5, -2·0; females: ß = -4·5, 95 % CI: -7·2, -1·7) and stable intermediate (vocational) education among males (ß = -3·9, 95 % CI: -7·0, -0·7). Compared with stable high (professional/managerial) occupation, stable low (manual/out of workforce) males (ß = -4·9, 95 % CI: -7·6, -2·2), and participants with downward occupation mobility (males: ß = -3·2, 95 % CI: -5·3, -1·1; females: ß = -2·8, 95 % CI: -4·8, -0·8) had lower DGI scores. In this cohort, intergenerational low education and occupation, and downward educational and occupational mobility, were associated with poor adult diet quality.

Associations between diet quality and DSM-IV mood disorders during young- to mid-adulthood among an Australian cohort.

PURPOSE: Many studies have reported associations between diet and depression, but few have used formal diagnoses of mood disorder as the outcome measure. We examined if overall diet quality was associated cross-sectionally or longitudinally with DSM-IV mood disorders among an adult cohort. METHODS: Participants from the Australian Childhood Determinants of Adult Health study were followed up during 2004-06 (n = 1974, age 26-36 years), 2009-11 (n = 1480, 31-41 years), and 2014-19 (n = 1191, 36-49 years). Dietary Guidelines Index (DGI) scores were calculated from food frequency questionnaires at each time-point (higher DGI reflects better diet quality). DSM-IV mood disorders (dysthymia or depression) during the periods between, and 12 months prior to each follow-up were determined using the Composite International Diagnostic Interview. Sex-stratified risk and prevalence ratios (PR) and 95% confidence intervals (CI) were estimated using log-binomial regression. Covariates included age, self-perceived social support index score, marital status, parenting status, education, occupation, physical activity, BMI, and usual sleep duration. RESULTS: A 10-point higher DGI was cross-sectionally associated with lower prevalence of mood disorders at the third follow-up only (females PR = 0.73, 95% CI = 0.56, 0.95; males PR = 0.72, 95% CI = 0.53, 0.97), but was attenuated after covariate adjustment (females PR = 0.92, 95% CI = 0.73, 1.16; males PR = 0.92, 95% CI = 0.69, 1.22). Adjustment for social support in the final model had attenuated the association for both sexes from 18% reduced prevalence to 8%. DGI scores were not longitudinally associated with mood disorder risk. CONCLUSIONS: Crude cross-sectional associations between diet quality and mood disorders at ages 36-49 years were explained by sociodemographic and lifestyle factors, particularly social support.

Cluster patterns of behavioural risk factors among children: Longitudinal associations with adult cardio-metabolic risk factors.

Much of what is known about childhood clusters of cardiovascular disease behavioural risk factors (RFs) comes from cross-sectional studies, providing little insight into the long-term health impacts of different behavioural cluster profiles. This study aimed to establish the longitudinal relationship between cluster patterns of childhood behavioural RFs and adult cardio-metabolic RFs. Data were from an Australian prospective cohort study of 1265 participants measured in 1985 (ages 9-15 yrs), and in 2004-06 (ages 26-36 yrs). At baseline, children self-reported smoking status, alcohol consumption, physical activity (PA), dietary behaviour and psychological well-being. At follow-up, participants completed questionnaires and attended study clinics where the following component indicators of the metabolic syndrome (MetS) score were measured: waist circumference, blood pressure, fasting blood glucose and lipids. TwoStep cluster analyses were carried out to identify clusters in childhood. Linear regression was used to examine the longitudinal associations between cluster patterns of childhood behavioural RFs and adult cardio-metabolic RFs. Four childhood cluster patterns of behavioural RFs labelled 'most healthy', 'high PA', 'most unhealthy', and 'breakfast skippers' were identified. The unhealthier childhood clusters predicted a significantly higher adult MetS score ('most unhealthy': ß = 0.10, 95%CI = 0.01, 0.19) and adult waist circumference ('most unhealthy': ß = 2.29, 95%CI = 0.90, 6.67; 'breakfast skippers': ß = 2.15, 95%CI = 0.30, 4.00). These associations were independent of adult behavioural RFs and socio-economic position. These findings emphasise the impact of multiple childhood behavioural RFs on important adult health outcomes and may be useful for the development of early intervention strategies, where identification of children at higher risk of poorer adult cardio-metabolic health is vital.

Factors associated with muscular fitness phenotypes in Australian children: A cross-sectional study.

To help inform strategies aimed at increasing muscular fitness levels, we examined factors associated with childhood muscular fitness (strength and power) that preceded the recently observed secular decline. Data were available from a nationally representative sample of Australian children aged 7-15 years in 1985 (n = 8469). Muscular fitness measures included strength (right and left grip, shoulder extension and flexion, and leg strength) and power (standing long jump distance). Anthropometric (adiposity, fat-free mass), cardiorespiratory fitness (CRF), flexibility, speed capability, physical activity (individual and parental), dietary quality and intake (fruit, vegetable, protein) and sociodemographic (area-level socioeconomic status (SES), school type) data were available. Statistical analyses included sex-stratified linear regression. Of all examined factors, measures of adiposity, fat-free mass, CRF, flexibility and speed capability were associated with muscular fitness at levels that met Cohen's threshold for important effects (r-squared = 0.02 to 0.28). These findings highlight the multifactorial relationship between muscular fitness and its determinants. Collectively, these factors were powerful in explaining muscular strength (females: r-squared = 0.32; males: r-squared = 0.41) and muscular power (females: r-squared = 0.36; males: r-squared = 0.42). These findings highlight modifiable and environmental factors that could be targeted to increase childhood muscular fitness.

Prevention of stroke: a global perspective.

Along with the rising global burden of disability attributed to stroke, costs of stroke care are rising, providing the impetus to direct our research focus towards effective measures of stroke prevention. In this Series paper, we discuss strategies for reducing the risk of the emergence of disease (primordial prevention), preventing the onset of disease (primary prevention), and preventing the recurrence of disease (secondary prevention). Our focus includes global strategies and campaigns, and measurements of the effectiveness of worldwide preventive interventions, with an emphasis on low-income and middle-income countries. Our findings reveal that effective tobacco control, adequate nutrition, and development of healthy cities are important strategies for primordial prevention, whereas polypill strategies, use of mobile technology (mHealth), along with salt reduction and other dietary interventions, are effective in the primary prevention of stroke. An effective collaboration between various health-care sectors, government policies, and campaigns can successfully implement secondary prevention strategies, through surveillance and registries, such as the WHO's non-communicable diseases programmes, across high-income and low-income countries.

Go Home, Sit Less: The Impact of Home Versus Hospital Rehabilitation Environment on Activity Levels of Stroke Survivors.

OBJECTIVE: To examine whether change in rehabilitation environment (hospital or home) and other factors influence time spent sitting upright and walking after stroke. DESIGN: Observational study. SETTING: Two inpatient rehabilitation units and community residences following discharge. PARTICIPANTS: Participants (N=34) with stroke were recruited. MAIN OUTCOME MEASURE: An activity monitor was worn continuously for 7 days during the final week in the hospital and the first week at home. Other covariates included mood, fatigue, physical function, pain, and cognition. Linear mixed models were performed to examine the associations between the environment (exposure) and physical activity levels (outcome) in the hospital and at home. Interaction terms between the exposure and other covariates were added to the model to determine whether they modified activity with change in environment. RESULTS: The mean age of participants was 68±13 years and 53% were male. At home, participants spent 45 fewer minutes sitting (95% CI -84.8, -6.1; P=.02), 45 more minutes upright (95% CI 6.1, 84.8; P=.02), and 12 more minutes walking (95% CI 5, 19; P=.001), and completed 724 additional steps (95% CI 199, 1250; P=.01) each day compared to in the hospital. Depression at discharge predicted greater sitting time and less upright time (P=.03 respectively) at home. CONCLUSIONS: Environmental change from hospital to home was associated with reduced sitting time and increased the time spent physically active, though depression modified this change. The rehabilitation environment may be a target to reduce sitting and promote physical activity.

Worsening Dietary and Physical Activity Behaviors Do Not Readily Explain Why Smokers Gain Weight After Cessation: A Cohort Study in Young Adults.

INTRODUCTION: The relationship between smoking cessation and weight gain is well established but the underlying mechanisms remain poorly understood. We aimed to determine whether postcessation weight gain was mediated by changing health behaviors. METHODS: A total of 281 smokers self-reported their demographic, smoking, and lifestyle characteristics in 2004-2006 (aged 26-36) and 2009-2011 (aged 31-41). Behaviors considered as potential mediators of weight gain were changes in consumption of breakfast, discretionary foods (servings/d), fruit and vegetables (servings/d), alcohol (g/d), takeaway food (times/wk), Diet Guideline Index score, leisure time physical activity (PA, min/wk), total PA (min/wk), time spent sitting (min/d), and TV viewing (h/d). RESULTS: In total, 124 smokers quit smoking during 5 years follow-up. After adjustment for age, sex, baseline body mass index, education, and follow-up length, smoking cessation was associated with average excess weight gain of 2.09kg (95% CI = 0.35-3.83). Compared with continuing smokers, quitters reported a higher Diet Guideline Index score and less consumption of alcohol at baseline and follow-up (all p < .05). In addition, there was a tendency towards healthier dietary and PA behaviors over 5 years among quitters than continuing smokers except for time spent sitting, although these differences did not reach statistical significance. Adjustment for changes in these behaviors made little difference to the magnitude of postcessation weight gain (ß: 2.32kg, 95% CI = 0.54-4.10). CONCLUSIONS: The weight gain associated with smoking cessation was not explained by worsening dietary and PA behaviors. Future research is needed to elucidate the complex mechanisms and particularly ways it may be prevented. IMPLICATIONS: Fear of weight gain often discourages smokers from trying to quit but guidance on ways to most effectively avoid weight gain is lacking. It is important to identify what causes postcessation weight gain and the ways it may be prevented. The current study explored the effects of several changing dietary and PA behaviors on the relationship between smoking cessation and weight gain in 281 young Australian smokers. We found that quitters tended to adopt healthier dietary and PA behaviors than continuing smokers, so these behaviors did not readily explain the postcessation weight gain. Further investigations of other potential mechanisms are needed.

Lifestyle behaviours associated with 5-year weight gain in a prospective cohort of Australian adults aged 26-36 years at baseline.

BACKGROUND: Whether not meeting common guidelines for lifestyle behaviours is associated with weight gain is uncertain. This study examined whether 5-year weight gain was predicted by not meeting guidelines for: breakfast consumption (eating between 6 and 9 am), takeaway food consumption (<2 times/week), television viewing (<2 h/day) and daily steps (≥10,000 steps/day). METHODS: One thousand one hundred and fifty-five Australian participants (43% men, 26-36 years) completed questionnaires and wore a pedometer at baseline (2004-06) and follow-up (2009-11). Weight was measured or self-reported, with a correction factor applied. For each behaviour, participants were classified according to whether they met the guideline: consistently met at baseline and follow-up (reference group); not met at baseline but met at follow-up; met at baseline but not met at follow-up; consistently not met at baseline and follow-up. For each behaviour, weight gain was calculated using linear regression. Weight gain by number of guidelines met was also examined. RESULTS: Mean 5-year weight gain was 2.0 kg (SD:6.3). Compared to the reference group, additional weight (mean, 95% CI) was gained among those who did not meet the guideline at follow-up, or consistently did not meet the guideline, for breakfast (1.8 kg, 0.7-2.9; 1.5 kg, 0.1-2.8); takeaway food (2.2 kg, 0.7-3.6; 1.9 kg, 0.7-3.1); watching television (1.9 kg, 0.9-2.9; 1.4 kg, 0.4-2.3); and daily steps (2.6 kg, 1.1-4.04; 1.6 kg, 0.5-2.7). Those who met ≤1 guideline at follow-up gained 3.8 kg (95% CI 2.3-5.3) more than those meeting all guidelines. CONCLUSION: Individuals who adopted healthier behaviours between baseline and follow-up had similar weight gain to those who met the guidelines at both time points. Encouraging young adults to meet these simple guidelines may reduce weight gain.

Self-Reported Exercise Prevalence and Determinants in the Long Term After Stroke: The North East Melbourne Stroke Incidence Study.

BACKGROUND: Exercise has established benefits following stroke. We aimed to describe self-reported exercise 5 and 10 years after stroke, change in exercise over time, and to identify factors associated with long-term exercise. METHODS: Data on exercise (defined as 20 minutes' duration, causing sweating and increased heart rate) were obtained by questionnaire from a population-based stroke incidence study with 10-year follow-up. For change in exercise between 5 and 10 years (n = 276), we created 4 categories of exercise (no exercise, ceased exercising, commenced exercising, continued exercising). Multinomial regression determined associations between exercise categories and exercising before stroke, receiving exercise advice and functional ability and demographic factors. RESULTS: The prevalence of exercise at 5 years (n = 520) was 18.5% (n = 96) (mean age 74.7 [standard deviation {SD} 14] years, 50.6% male) and 24% (n = 78) at 10 years. In those with data at both 5 and 10 years (mean age 69 [standard deviation 14] years, 52.9% male), 15% (n = 42) continued exercising, 10% (n = 27) commenced exercising, 14% (n = 38) ceased exercising, and 61% (n = 169) reported no exercise. Continued exercise was associated with younger age (relative risk [RR] .47 95% confidence interval [CI] .25-0.89), greater Barthel score (RR 2.97 95% CI 1.00-8.86), independent walking (RR 2.32 95% CI 1.16-4.68), better quality of life (RR 10.9 95% CI 2.26-52.8), exercising before stroke (RR 16.0 95%CI 4.98-51.5), and receiving advice to exercise (RR 2.99 95% CI 1.73-5.16). CONCLUSIONS: Few people exercise after stroke and fewer commence exercise long term. Innovative interventions to promote and maintain exercise are required after stroke.

Exposure to parental smoking in childhood is associated with increased risk of carotid atherosclerotic plaque in adulthood: the Cardiovascular Risk in Young Finns Study.

BACKGROUND: The association between passive smoking exposure in childhood and adverse cardiovascular health in adulthood is not well understood. Using a 26-year follow-up study, we examined whether childhood exposure to passive smoking was associated with carotid atherosclerotic plaque in young adults. METHODS AND RESULTS: Participants were from the Cardiovascular Risk in Young Finns Study (n=2448). Information on childhood exposure to parental smoking was collected in 1980 and 1983. Carotid ultrasound data were collected in adulthood in 2001 or 2007. Childhood serum cotinine levels from 1980 were measured from frozen samples in 2014 (n=1578). The proportion of children with nondetectable cotinine levels was highest among households in which neither parent smoked (84%), was decreased in households in which 1 parent smoked (62%), and was lowest among households in which both parents smoked (43%). Regardless of adjustment for potential confounding and mediating variables, the relative risk of developing carotid plaque in adulthood increased among those children with 1 or both parents who smoked (relative risk, 1.7; 95% confidence interval, 1.0-2.8; P=0.04). Although children whose parents exercised good "smoking hygiene" (smoking parents whose children had nondetectable cotinine levels) had increased risk of carotid plaque compared with children with nonsmoking parents (relative risk, 1.6; 95% confidence interval, 0.6-4.0; P=0.34), children of smoking parents with poor smoking hygiene (smoking parents whose children had detectable serum cotinine levels) had substantially increased risk of plaque as adults (relative risk, 4.0; 95% confidence interval, 1.7-9.8; P=0.002). CONCLUSIONS: Children of parents who smoke have increased risk of developing carotid atherosclerotic plaque in adulthood. However, parents who exercise good smoking hygiene can lessen their child's risk of developing plaque.

Smoking status and health-related quality of life: a longitudinal study in young adults.

PURPOSE: The possibility that tobacco use affects health-related quality of life (HRQoL) has attracted interest. However, a lack of prospective evidence weakens the case for a causal relationship. The aim was to examine the longitudinal relationship between change in smoking status and change in HRQoL in young adults. METHODS: We conducted a population-based cohort study with data collected in 2004-2006 (aged 26-36) and 2009-2011 (aged 31-41). Exposure was change in self-reported smoking status during follow-up. Outcomes were changes in physical and mental HRQoL measured by SF-12. RESULTS: For physical HRQoL (n = 2080), quitters had a 2.12 (95 % confidence interval (CI) 0.73, 3.51) point improvement than continuing smokers, whereas former smokers who resumed smoking had a 2.08 (95 % CI 0.21, 3.94) point reduction than those who maintained cessation. Resumed smokers were 39 % (95 % CI 10, 75 %) more likely to have a clinically significant (>5 point) reduction of physical HRQoL than former smokers who maintained cessation. In contrast, quitters were 43 % (95 % CI 3, 98 %) more likely to have a clinically significant (>5 point) improvement in physical HRQoL than continuing smokers. Change in smoking status was not significantly associated with change in mental HRQoL (n = 1788). CONCLUSIONS: Smoking by young adults was cross-sectionally associated with lower physical HRQoL and longitudinally associated with reductions in physical HRQoL. The expectation of short- to medium-term gains in physical HRQoL as well as long-term health benefits may help motivate young adult smokers to quit.

Health-related quality of life after stroke: reliability and validity of the Duke Health Profile for use in Vietnam.

INTRODUCTION: Health-related quality of life (HRQoL) is commonly used to assess outcomes after stroke. The Duke Health Profile (DHP) has been translated and culturally adapted for use in Vietnam, but its reliability and validity for use with stroke patients in Vietnam or elsewhere have not been assessed. METHODS: First-ever stroke patients (n = 108) who were admitted to 115 People's Hospital between February and September 2012 and survived for 3 months after stroke had HRQoL assessed using the DHP and a comparison instrument (EQ-5D). Caregivers of 94 patients completed these questionnaires as a proxy. After 1 week, these questionnaires were re-administered to patients and proxies. RESULTS: The mean differences between test and retest assessments of HRQoL by patients were small and not clinically meaningful and were not consistently associated with sex, age, type of stroke or severity of impairment or disability. Direct assessments by the patient were on average greater than those obtained from the proxy. The ICCs ranged from 0.60 to 0.86 (patient test-retest) and from 0.55 to 0.98 (patient-proxy agreement). The ICCs were greatest for physical functioning components (patient test-retest 0.63-0.86, patient-proxy 0.69-0.98). The correlations between the DHP dimensions and EQ-5D were generally stronger when they measured similar constructs (r = 0.53-0.66) and were lower for less related constructs (r = 0.11-0.43). CONCLUSION: The DHP has moderate reliability and validity for use with stroke patients in Vietnam even when information is obtained from proxy respondents.

Discharge is a critical time to influence 10-year use of secondary prevention therapies for stroke.

BACKGROUND AND PURPOSE: When optimally managed, patients with stroke are less likely to have further vascular events. We aimed to identify factors associated with optimal use of secondary prevention therapies in long-term survivors of stroke. METHODS: We carefully documented discharge medications at baseline and self-reported use of medications at annual follow-up in the Northeast Melbourne Stroke Incidence Study (NEMESIS). We defined optimal medication use when patients reported taking (1) antihypertensive agents and (2) statin and antithrombotic agents (ischemic stroke only). Logistic regression was used to assess factors associated with optimal medication use between 2 and 10 years after stroke. RESULTS: We recruited 1241 patients with stroke. Optimal prescription at discharge from hospital was the most important factor associated with optimal medication use at each time point: odds ratio (OR), 32.2 (95% confidence interval [CI], 13.6-76.1) at 2 years; OR, 7.86 (95% CI, 4.48-13.8) at 5 years (425 of 505 survivors); OR, 6.04 (95% CI, 3.18-11.5) at 7 years (326 of 390 survivors); and OR, 2.62 (95% CI, 1.19-5.77) at 10 years (256 of 293 survivors). Associations were similar in men and women. The association between optimal prescription at discharge and optimal medication use at each time point was greater in those who were not disadvantaged, particularly women. CONCLUSIONS: Prescription of medications at hospital discharge was the strongest predictor of ongoing medication use in survivors of stroke, even at 10 years after stroke. Ensuring that patients with stroke are discharged on optimal medications is likely to improve their long-term management, but further strategies might be required among those who are disadvantaged.

Longitudinal associations between fish consumption and depression in young adults.

Few studies have examined longitudinal associations between fish consumption and depression; none have defined depression using a diagnostic tool. We investigated whether fish consumption was associated with fewer new depression episodes in a national study of Australian adults. In 2004-2006, 1,386 adults aged 26-36 years (38% males) completed a 127-item (9 fish items) food frequency questionnaire. Fish intake was examined continuously (times/week) and dichotomously (reference group: <2 times/week). During 2009-2011, the lifetime version of the Composite International Diagnostic Interview was administered by telephone. New episodes of major depression/dysthymic disorder (since baseline) were defined using the Diagnostic and Statistical Manual of Mental Disorders, Fourth Edition. During follow-up, 160 (18.8%) women and 70 (13.1%) men experienced depression. For women, each additional weekly serving of fish consumed at baseline decreased the risk of having a new depressive episode by 6% (adjusted relative risk = 0.94, 95% confidence interval: 0.87, 1.01). Women who ate fish ≥2 times/week at baseline had a 25% lower risk of depression during follow-up than those who ate fish <2 times/week (adjusted relative risk = 0.75, 95% confidence interval: 0.57, 0.99). Reverse causation was also suggested but appeared to be restricted to persons with recent depression. Fish consumption was not associated with depression in men. These findings provide further evidence that fish consumption may be beneficial for women's mental health.