Associations between everyday exposure to food marketing and hunger and food craving in adults: An ecological momentary assessment study.

Food marketing in television and digital media negatively affects appetitive sensations and eating behaviour in children, but effects are less well understood for outdoor food advertising and adults. This research used Ecological Momentary Assessment (EMA) to explore associations between exposures to food advertising in various contexts (television, digital, outdoors) and adults' hunger and craving for highly advertised food categories. Over one week, participants provided ratings of cravings for types of food (fast food, soft drinks, snacks/confectionery, other) and hunger on a smartphone app up to six times per day when they saw a food advertisement (reactive assessment) and at random intervals (random assessment). Fifty-four participants (70.4 % female; 21.24 ± 3.84 years) provided 1223 assessments (24.7 % reactive, 75.3 % random). Data were analysed in R using multilevel multivariable linear regression models. Participants reported feeling hungrier (X2(1) = 5.85, p = .016, ΔAIC = 3.9) and having stronger cravings (X2(1) = 20.64, p < .001, ΔAIC = 318.6) after seeing food advertisements vs. random assessments. This was driven by greater hunger following television advertising exposure vs. random assessments (ß = 1.58, SE = 0.61, p = .010, 95 %CIs 0.38 to 2.78), food advertising via digital devices or outdoors was not associated with hunger. Participants experienced stronger craving after seeing a food advertisement on television (ß = 0.52, SE = 0.19, p = .006, 95 %CIs 0.15 to 0.89), outdoors (ß = 0.39, SE = 0.12, p < .001, 95 % CIs 0.16 to 0.62) and in digital media (ß = 0.36, SE = 0.14, p = .012, 95 % CIs 0.08 to 0.64), vs. random assessments. Cravings were (largely) specific to the advertised food category. EMA can be effective for assessing food marketing associations in adults. The current study provides evidence that food marketing is associated with hunger and craving in adults, which may, with replication, have implications for public health policy.

Physical Activity in Adults with Schizophrenia and Bipolar Disorder: A Large Cross-Sectional Survey Exploring Patterns, Preferences, Barriers, and Motivating Factors.

Adults with severe mental ill health may have specific attitudes toward physical activity. To inform intervention development, we conducted a survey to assess the physical activity patterns, preferences, barriers, and motivations of adults with severe mental ill health living in the community. Data were summarised using descriptive statistics, and logistic regressions were used to explore relationships between physical activity status and participant characteristics. Five-hundred and twenty-nine participants (58% male, mean age 49.3 years) completed the survey. Large numbers were insufficiently active and excessively sedentary. Self-reported levels of physical activity below that recommended in national guidelines were associated with professional inactivity, consumption of fewer than five portions of fruit and vegetables per day, older age, and poor mental health. Participants indicated a preference for low-intensity activities and physical activity that they can do on their own, at their own time and pace, and close to home. The most commonly endorsed source of support was social support from family and friends. Common motivations included improving mental health, physical fitness, and energy levels. However, poor mental and physical health and being too tired were also common barriers. These findings can inform the development of physical activity interventions for this group of people.

Health-risk behaviours among people with severe mental ill health: understanding modifiable risk in the Closing the Gap Health Study.

BACKGROUND: People with severe mental ill health (SMI) experience some of the largest health inequalities of any sector within society. For these inequalities to be reduced, an understanding of the behavioural determinants of health in this population is needed. AIMS: Utilising data from the Closing the Gap Health Study, we aimed to assess the extent to which people with SMI report health-risk factors and behaviours, their interest in modifying them, and the factors associated with being motivated to modify these behaviours. METHOD: Adult (≥18 years old) participants were recruited via primary and secondary care in the English National Health Service. To be eligible, participants needed to have a documented diagnosis of schizophrenia, psychotic disorders or bipolar disorder. Data were collected by survey on demographics, general physical health, diet, physical activity, alcohol, smoking and body mass index. RESULTS: Between April 2016 and March 2020, n = 9914 participants were recruited. Among people with SMI, high rates of obesity (37.5%), infrequent physical activity (62.0%), not meeting current guidelines (≥5) for the consumption of fruit and vegetables (85.0%) and smoking (42.2%) were observed. However, most participants were motivated to reduce health-risk behaviours. Perceiving the importance of health-promoting behaviours, being of poorer general health and being female were significantly associated with being motivated to modify health-risk behaviours. CONCLUSIONS: Despite experiencing poor physical and mental health outcomes compared with the general population, and contrary to popular misconceptions, people with SMI perceive health as important and are motivated to make behavioural changes to improve health.

Problem drinking recognition among UK military personnel: prevalence and associations.

PURPOSE: Despite the higher prevalence of problem drinking in the UK military compared to the general population, problem recognition appears to be low, and little is known about which groups are more likely to recognise a problem. This study examined prevalence of problem drinking recognition and its associations. METHODS: We analysed data from 6400 regular serving and ex-serving personnel, collected in phase 3 (2014-2016) of the King's Centre for Military Health Research cohort study. MEASUREMENTS: Participants provided sociodemographic, military, health and impairment, life experiences, problem drinking, and problem recognition information. Problem drinking was categorised as scores ≥ 16 in the AUDIT questionnaire. Associations with problem recognition were examined with weighted logistic regressions. FINDINGS: Among personnel meeting criteria for problem drinking, 49% recognised the problem. Recognition was most strongly associated (ORs ≥ 2.50) with experiencing probable PTSD (AOR = 2.86, 95% CI = 1.64-5.07), social impairment due to physical or mental health problems (AOR = 2.69, 95% CI = 1.51-4.79), adverse life events (AOR = 2.84, 95% CI = 1.70-4.75), ever being arrested (AOR = 2.99, CI = 1.43-6.25) and reporting symptoms of alcohol dependence (AOR = 3.68, 95% CI = 2.33-5.82). To a lesser extent, recognition was also statistically significantly associated with experiencing psychosomatic symptoms, feeling less healthy, probable common mental health disorders, and increased scores on the AUDIT. CONCLUSION: Half of UK military personnel experiencing problem drinking does not self-report their drinking behaviour as problematic. Greater problem drinking severity, poorer mental or physical health, and negative life experiences facilitate problem recognition.

Sleep health among people with severe mental ill health during the COVID-19 pandemic: Results from a linked UK population cohort study.

Objectives: Sleep problems are a transdiagnostic feature of nearly all psychiatric conditions, and a strong risk factor for initial and recurrent episodes. However, people with severe mental ill health (SMI) are often excluded from general population surveys, and as such the extent and associates of poor sleep in this population are less well understood. This study explores sleep health in an SMI sample during the COVID-19 pandemic, using multiple regression to identify risk factors, including daily routine, wellbeing and demographics. Methods: An existing cohort of people with an SMI diagnosis were sampled. Participants were invited to complete a self-report survey about their health and the impacts of COVID-19 and associated public health measures. Sleep duration, efficiency, and quality were measured using items from the Pittsburgh Sleep Quality Index (PSQI). Results: Two hundred forty-nine adults (aged 21-84 years) completed the survey. Mean sleep duration and efficiency were similar to general population estimates, at 7 h 19 min and 78%, respectively. However, 43% reported "bad" sleep quality that was associated with being younger in age as well as disturbed routine and declined wellbeing. Indeed, 37% reported a disturbed routine during the pandemic. Conclusions: High estimates of perceived poor sleep quality in the SMI population align with previous findings. Supporting people with SMI to maintain routine regularity may work to protect sleep quality and wellbeing. Future research should more closely examine sleep health in people with SMI, using accessible and scalable measures of objective and subjective sleep, examining longitudinal trends.

Influences on the physical and mental health of people with serious mental ill-health during the COVID-19 pandemic: a qualitative interview study.

PURPOSE: People with severe mental ill-health (SMI) experience profound health inequalities. The Optimizing Wellbeing in Self-isolation study (OWLS) explored the effects of the COVID-19 pandemic restrictions on people with SMI, including how and why their physical and mental health may have changed during the pandemic. METHODS: The OLWS study comprised two surveys and two nested qualitative studies. Of 367 people recruited to the study, 235 expressed interest in taking part in a qualitative interview. In the first qualitative study eighteen interviews were conducted with a purposive sample of participants. RESULTS: We identified six factors which influenced peoples' health, positively and negatively: Staying Physically Active; Maintaining a Balanced and Healthy Diet; Work or Not Working; Daily Routine and Good Sleep; Staying Connected to Family, Friends and the Local Community; and Habits, Addictions and Coping with Anxiety Created by the Pandemic. CONCLUSIONS: Different aspects of lifestyle are highly interconnected. For people with SMI, loss of routine and good sleep, poor diet and lack of exercise can compound each other, leading to a decline in physical and mental health. If people are supported to understand what helps them stay well, they can establish their own frameworks to draw on during difficult times.

Prevalence of at-risk drinking recognition: A systematic review and meta-analysis.

BACKGROUND: There is a prominent "treatment gap" in relation to at-risk drinking (ARD), whereby a minority of at-risk drinkers ever access treatment. Research suggests that recognition of problem drinking is a necessary precursor for help-seeking and treatment. OBJECTIVE: This systematic review and meta-analysis aimed to estimate the prevalence of ARD recognition within those meeting criteria for ARD. METHOD: PsycINFO, Web of Science, Scopus, and MEDLINE were searched using the terms: problem* AND (recogni* OR perceive* OR perception OR self-identif*) AND alcohol - to identify studies published in English between 2000 and 2022. Studies reported the frequency (weighted or unweighted) of participants meeting ARD criteria that also directly identified ARD, perceived a need for help, or endorsed a readiness to change. The prevalence of ARD recognition was estimated using a random-effects meta-analysis with 95% confidence intervals (CIs). RESULTS: 17 studies were included which provided data for 33,349 participants with ARD. Most (n = 14) were US studies. ARD was self-identified via a single indicator in 7 studies, whereas recognition was assessed via stages of change in 4 studies and need for help in 6 studies. The pooled prevalence of ARD recognition was 31% (95% CI: 25%-36%), and subgroup analyses indicated alcohol use severity, measure of recognition, and population type to be significant sources of heterogeneity. CONCLUSIONS: Most individuals with ARD fail to recognise their drinking problem so preventive approaches that promote recognition may be helpful. However, we must be cautious of how inconsistency in question framing affects self-reported problem recognition.

Loneliness among people with severe mental illness during the COVID-19 pandemic: Results from a linked UK population cohort study.

AIM/GOAL/PURPOSE: Population surveys underrepresent people with severe mental ill health. This paper aims to use multiple regression analyses to explore perceived social support, loneliness and factor associations from self-report survey data collected during the Covid-19 pandemic in a sample of individuals with severe mental ill health. DESIGN/METHODOLOGY/APPROACH: We sampled an already existing cohort of people with severe mental ill health. Researchers contacted participants by phone or by post to invite them to take part in a survey about how the pandemic restrictions had impacted health, Covid-19 experiences, perceived social support, employment and loneliness. Loneliness was measured by the three item UCLA loneliness scale. FINDINGS: In the pandemic sub-cohort, 367 adults with a severe mental ill health diagnosis completed a remote survey. 29-34% of participants reported being lonely. Loneliness was associated with being younger in age (adjusted OR = -.98, p = .02), living alone (adjusted OR = 2.04, p = .01), high levels of social and economic deprivation (adjusted OR = 2.49, p = .04), and lower perceived social support (B = -5.86, p < .001). Living alone was associated with lower perceived social support. Being lonely was associated with a self-reported deterioration in mental health during the pandemic (adjusted OR = 3.46, 95%CI 2.03-5.91). PRACTICAL IMPLICATIONS: Intervention strategies to tackle loneliness in the severe mental ill health population are needed. Further research is needed to follow-up the severe mental ill health population after pandemic restrictions are lifted to understand perceived social support and loneliness trends. ORIGINALITY: Loneliness was a substantial problem for the severe mental ill health population before the Covid-19 pandemic but there is limited evidence to understand perceived social support and loneliness trends during the pandemic.

A systematic review of behavioural smoking cessation interventions for people with severe mental ill health-what works?

BACKGROUND AND AIMS: People with severe mental ill health smoke more and suffer greater smoking-related morbidity and mortality. Little is known about the effectiveness of behavioural interventions for smoking cessation in this group. This review evaluated randomized controlled trial evidence to measure the effectiveness of behavioural smoking cessation interventions (both digital and non-digital) in people with severe mental ill health. DESIGN: Systematic review and random-effects meta-analysis. We searched between inception and January 2020 in Medline, EMBASE, PsycINFO, CINAHL, Health Management Information Consortium and CENTRAL databases. SETTING AND PARTICIPANTS: Randomized controlled trials (RCTs) assessing the effects of behavioural smoking cessation and reduction interventions in adults with severe mental ill health, conducted in any country, in either in-patient or community settings and published in English. MEASUREMENTS: The primary outcome was biochemically verified smoking cessation. Smoking reduction and changes in mental health symptoms and body mass index (BMI) were included as secondary outcomes. Narrative data synthesis and meta-analysis were conducted and the quality of included studies was appraised using the risk of bias 2 (RoB2) tool. FINDINGS: We included 12 individual studies (16 articles) involving 1861 participants. The first meta-analysis (three studies, 921 participants) demonstrated effectiveness of bespoke face-to-face interventions compared with usual care across all time-points [medium-term: relative risk (RR) = 2.29, 95% confidence interval (CI) = 1.38-3.81; long-term: RR = 1.58, 95% CI = 1.09-2.30]. The second (three studies, 275 participants) did not demonstrate any difference in effectiveness of bespoke digital on-line interventions compared with standard digital on-line interventions (medium-term: RR = 0.87, 95% CI = 0.17-4.46). A narrative overview revealed mixed results when comparing bespoke face-to-face interventions with other active interventions. The methodological quality of studies was mixed, with the majority having some concerns mainly around risk of selective reporting. CONCLUSIONS: Face-to-face bespoke smoking cessation interventions for adults with severe mental ill health appear to be effective when compared with treatment as usual, but evidence is equivocal when compared with other active interventions. There is limited evidence comparing bespoke digital interventions with generic interventions, and we found no studies comparing them with usual treatment.

The Role of Animal Ownership for People with Severe Mental Illness during the COVID-19 Pandemic: A Mixed-Method Study Investigating Links with Health and Loneliness.

Research has reported the benefits of companion animals for people with severe mental illness (SMI). However, this evidence base is fragmented and unclear. The COVID-19 pandemic presents an opportunity to explore the role of companion animals in the context of social distancing and isolation measures for people with SMI. Therefore, we aimed to investigate the links between mental and physical health and animal ownership in people with SMI and to explore animal owners' perceptions related to human-animal interactions during the pandemic restrictions. A survey was conducted with a previously assembled cohort of individuals with SMI in the UK. The survey included previously validated and new bespoke items measuring demographics, and outcomes related to mental and physical health, and human-animal interactions. The survey also included a question inviting free-text responses, allowing participants to describe any experiences of their human-animal relationships during the pandemic. Of 315 participants who consented to participate, 249 (79%) completed the survey. Of these, 115 (46.2%) had at least one companion animal. Regression analyses indicated that animal ownership was not significantly associated with well-being and loneliness. However, animal ownership was associated with a self-reported decline in mental health (b = 0.640, 95% CI [0.102-1.231], p = 0.025), but no self-reported change in physical health. Thematic analysis identified two main themes relating to the positive and negative impact of animal ownership during pandemic restrictions. Animal ownership appeared to be linked to self-reported mental health decline in people with SMI during the second wave of the pandemic in the UK. However, the thematic analysis also highlighted the perceived benefit of animal ownership during this time. Further targeted investigation of the role of human-animal relationships and the perceived human-animal bond for human health is warranted.

Use of the Internet and Digital Devices Among People With Severe Mental Ill Health During the COVID-19 Pandemic Restrictions.

Background: Restrictions due to the COVID-19 pandemic have led to everyday reliance on digitalisation of life, including access to health care services. People with severe mental ill health (SMI-e.g., bipolar or psychosis spectrum disorders) are at greater risk for digital exclusion and it is unknown to what extent they adapted to online service delivery. This study explored use of the Internet and digital devices during the pandemic restrictions and its association with physical and mental health changes. Methods: Three hundred sixty seven adults with an SMI diagnosis completed a survey (online or offline) and provided information on access to Internet connexion and devices, internet knowledge, online activities, and barriers to using the Internet. They also self-reported changes in mental and physical health since the beginning of the pandemic restrictions. Results: During the pandemic restrictions 61.6% were limited or non-users of the Internet. The majority had access to the Internet and digital devices but around half reported knowledge deficits. Most common activities were accessing information and entertainment (88.9%), staying in touch with friends and families (84.8%), and purchasing goods (other than food) (84.3%). Most common barriers were finding the Internet "not interesting" (28.3%) or "too difficult" (27.9%), as well as "security concerns" (22.1-24.3%). Using the Internet "a lot" (vs. "just a bit or not at all") during the pandemic was associated with younger age (18-30: Adj ORs 4.76; 31-45: 6.39; Ps < 0.001; vs. 66+), having a diagnosis of bipolar disorder (compared to psychosis; Adj OR = 3.88, P < 0.001), or reporting a decline in mental health (compared to no decline; Adj OR = 1.92, P = 0.01). Conclusion: Most people with SMI were limited or non-users of the Internet during the pandemic, which seems to be mainly attributable to lack of interest and skills, rather than lack of devices or connectivity. Older adults with psychosis should be the focus of interventions to support digital engagement in people with SMI.

Health risk behaviours among people with severe mental ill health during the COVID-19 pandemic: Analysis of linked cohort data.

BACKGROUND: People with severe mental ill health (SMI) experience a mortality gap of 15-20 years. COVID-19 has amplified population health inequalities, and there is concern that people with SMI will be disproportionately affected. Understanding how health risk behaviours have changed during the pandemic is important when developing strategies to mitigate future increases in health inequalities. METHODS: We sampled from an existing cohort of people with SMI. Researchers contacted participants by phone or post to invite them to take part in a survey about how the pandemic had affected them. We asked people about their health risk behaviours and how these had changed during the pandemic. We created an index of changed behaviours, comprising dietary factors, smoking, lack of exercise, and drinking patterns. By creating data linkages, we compared their responses during pandemic restrictions to responses they gave prior to the pandemic. OUTCOMES: 367 people provided health risk data. The mean age of the participants was 50.5 (range = 20 to 86, SD ± 15.69) with 51.0% male and 77.4% white British. 47.5% of participants reported taking less physical activity during the pandemic and of those who smoke 54.5% reported smoking more heavily. Self-reported deterioration in physical health was significantly associated with an increase in health risk behaviours (adjusted OR for physical health 1.59, 95%CI 1.22-2.07; adjusted OR for Age 0.99, 95%CI 0.98-1.00). INTERPRETATION: COVID-19 is likely to amplify health inequalities for people with SMI. Health services should target health risk behaviours for people with SMI to mitigate the immediate and long lasting impacts of the COVID-19 pandemic.

Investigating smoking and nicotine dependence among people with severe mental illness during the COVID-19 pandemic: analysis of linked data from a UK Closing the Gap cohort.

Smoking rates are higher for people who use mental health services, which contributes substantially to health inequalities. Smoking can lead to worse COVID-19 outcomes, yet it remains unclear whether smoking has changed for people who use mental health services. We examined smoking patterns in a large clinical cohort of people with severe mental illness, before and during the pandemic. We found high levels of nicotine dependence and heavier patterns of smoking. Although some people had reported quitting, it is likely that smoking inequalities have become further entrenched. Mental health services should seek to mitigate this modifiable risk and source of poor health.

The digital divide: amplifying health inequalities for people with severe mental illness in the time of COVID-19.

During COVID-19, health provision and information resources have been increasingly provided via digital means (e.g. websites, apps) and this will become a standard practice beyond the pandemic. People with severe mental illness face profound health inequalities (e.g. a >20-year mortality gap). Digital exclusion puts this population at risk of heightened or compounded inequalities. This has been referred to as the 'digital divide'. For any new digital means introduced in clinical practice to augment healthcare service provision, issues of accessibility, acceptability and usability should be addressed by researchers and developers early in the design phase, and prior to full implementation, to prevent digital exclusion.

Exploring Access to Mental Health and Primary Care Services for People With Severe Mental Illness During the COVID-19 Restrictions.

AIMS: To explore: how satisfied people with severe mental illness (SMI) are with the support received during the pandemic; understand any difficulties encountered when accessing both mental health and primary care services; consider ways to mitigate these difficulties; and assess the perceived need for future support from mental health services. MATERIALS AND METHODS: A representative sample was drawn from a large transdiagnostic clinical cohort of people with SMI, which was recruited between April 2016 and March 2020. The sample was re-surveyed a few months after the beginning of the restrictions. Descriptive frequency statistics were used to analyze the quantitative data. The free text responses were analyzed thematically. RESULTS: 367 participants responded to the survey. Two thirds were receiving support from mental health services with the rest supported in primary care or self-managing. A quarter thought they would need more mental health support in the coming year. Half had needed to used community mental health services during the pandemic and the majority had been able to get support. A minority reported that their mental health had deteriorated but they had either not got the supported they wanted or had not sought help. The biggest service change was the reduction in face-to-face appointments and increasing use of phone and video call support. Nearly half of those using mental health services found this change acceptable or even preferred it. However, acceptability was influenced by several factors, and participants were more likely to report that they had received all the support they needed, when seen in person. DISCUSSION: Although most participants were satisfied with the mental health support they had received, a minority were not. This, couple with findings on future need for mental health support has implications for post pandemic demand on services. Remote care has brought benefits but also risks that it could increase inequalities in access to services.

A Year Into the Pandemic: The Diversity of Experience Amongst People With Severe Mental Ill Health.

BACKGROUND: The COVID-19 pandemic has amplified pre-existing health inequalities and people with severe mental ill health (SMI) are one of the groups at greatest risk. In this study, we explored the effects of the pandemic and pandemic restrictions on people with SMI during the first year of the pandemic. METHODS: We conducted a longitudinal study in a sample of people with SMI. The inception survey was carried out between July and December 2020. Participants were then re-surveyed between January and March 2021. People were contacted by telephone and invited to take part in the study over the phone, online or by postal questionnaire. Across both waves we asked participants about their physical and mental health, health risk behaviors, well-being, loneliness, and employment status. RESULTS: Three hundred and sixty-seven people with SMI completed the inception survey and 249 people completed the follow up. Whilst some people reported no change in their physical (77, 31%) or mental health (60, 24%) over the course of the pandemic 53 (21%) reported a continuing decline in physical health and 52 (21%) reported a continuing decline in mental health. Participants who maintained a daily routine or reported no decline in physical health were found to be associated with no deterioration in mental health (Daily routine OR 2.27, 95% CI 1.11-4.64; no reported physical health decline OR 0.54, 95% CI 0.17-0.70). Participants were less likely to be occupationally active in the first phase of the pandemic compared to before the pandemic and in the second phase of the pandemic. However, there was no one single experience of people with SMI and similar to studies in the general populations a range of different scenarios was experienced. CONCLUSIONS: We observed a series of factors that might amplify pre-existing health inequalities. Health systems should be mindful of this, and should redouble efforts to set in place changes to practice and policy, which can mitigate these inequalities. Examples might include; raising awareness of the importance of ensuring that people with SMI receive an annual physical health check and supporting people to maintain a daily routine.

A Stroop in the Hand is Worth Two on the Laptop: Superior Reliability of a Smartphone Based Alcohol Stroop in the Real World.

BACKGROUND: Attentional bias (AB) is the tendency for substance-related stimuli to grab attention. The addiction Stroop task is widely used for measuring AB in the lab, but it has poor reliability and inconsistent predictive validity. Therefore, there is a need to improve the psychometric properties of the task. OBJECTIVES: This study contrasts the internal reliability and predictive validity of a basic (general alcohol words) and an upgraded (personalized alcohol pictures) Stroop task delivered in a neutral room on a laptop computer versus a smartphone application on participants' homes. METHODS: 120 participants recruited in 2016, completed a basic and an upgraded Stroop task. Half the participants completed the tasks on a laptop computer in a neutral university room and the remainder completed the tasks on a smartphone app in their homes. Participants also self-reported their typical alcohol consumption. RESULTS: Acceptable internal reliability was found for both basic (α = .70) and upgraded (α = .74) Stroop tasks in the home-smartphone condition, but neither had acceptable internal reliability when administered in the neutral room-computer condition (basic α = .49; upgraded α = .58). Participants showed AB toward alcohol words, but not for beer pictures, regardless of condition. None of the indices of AB was associated with individual differences in alcohol involvement, regardless of condition. CONCLUSION: The internal reliability of the alcohol Stroop was acceptable when administered on smartphones, in naturalistic settings, rather than on laptop computers, in neutral university rooms.

Alcohol use of immigrant youths in The Netherlands: The roles of parents and peers across different ethnic backgrounds.

INTRODUCTION AND AIMS: The aims of this study were to examine the roles of parental permissiveness toward alcohol use and affiliation with alcohol-using peers in alcohol use in youths from various ethnic backgrounds, and whether the role of peers was moderated by parental permissiveness. In addition, differences in these associations between native Dutch and non-Western immigrant youths were examined. DESIGN AND METHODS: Cross-sectional data of 578 youths with Surinamese, Moroccan, Turkish, Antillean and Asian backgrounds and 81 native Dutch were used, all aged 15-24. Alcohol use, affiliation with alcohol-using peers and parental permissiveness were measured using self-report questionnaires. Regression models controlled for age, religiousness, education level and parental alcohol use. Because of very low levels of alcohol use, data from Turkish and Moroccan immigrants were aggregated, and logistic regression analyses were performed. RESULTS: Parental permissiveness and affiliation with alcohol-using peers were positively related to level of alcohol use in youths with Surinamese, Antillean and Asian backgrounds and played an equally strong role in native Dutch youths with one exception. In Surinamese youths, parental permissiveness was more strongly related to alcohol use than in native Dutch youths. In youths with a Turkish/Moroccan background, parental permissiveness and affiliation with alcohol-using peers were strongly associated with any (versus no) alcohol use. Only parental permissiveness was, equally strong, associated with any alcohol use in native Dutch youths. DISCUSSION AND CONCLUSIONS: Irrespective of ethnic background and differences in level of alcohol use, parental permissiveness and affiliation with alcohol-using peers are related to youth alcohol use. [Creemers HE, Spanakis P, Delforterie MJ, Huizink AC. Alcohol use of immigrant youths in The Netherlands: The roles of parents and peers across different ethnic backgrounds.