Mediation by parent health literacy and behaviour of socioeconomic inequality in child overweight.

BACKGROUND: Socioeconomic inequalities contribute to childhood overweight. Identifying mediators could help reduce these inequalities. OBJECTIVE: We assessed to what extent and how parental health literacy and health behaviours mediate the relationship between parental socioeconomic status and childhood overweight. METHODS: Data were taken from the multigenerational prospective Dutch Lifelines Cohort Study. We included 6683 children, baseline age 9.8 years (SD = 2.6), with an average follow-up of 36.2 months (SD = 9.3). Overweight was defined using age- and sex-specific cut-offs. Three indicators of socioeconomic status were included: education, income and occupation. We assessed the mediating role of parental health literacy and health behaviours (smoking, diet, physical activity and alcohol) using causal mediation. RESULTS: Four additional years of education and an SD-increase in both income and occupation decreased the odds of childhood overweight by 42%, 12% and 20%, respectively. Only parental smoking independently mediated the relationship of both education (6.6%) and occupation (5.7%) with overweight. Parental health behaviours jointly explained 8.4% (education), 19.4% (income) and 9.8% (occupation) per relationship. Lastly, adding parental health literacy explained 10.8% (education), 27.4% (income) and 13.3% (occupation) of these relationships. CONCLUSIONS: We found large socioeconomic inequalities in childhood overweight. Remarkably, parental smoking was a key mediator. Therefore, prevention targeting smoking may reduce socioeconomic inequalities in childhood overweight.

Educational inequalities in major depressive disorder prevalence, timing and duration among adults over the life course: a microsimulation analysis based on the Lifelines Cohort Study.

BACKGROUND: Educational inequalities in major depressive disorder (MDD) pose a major challenge. Tackling this issue requires evidence on the long-term impact of intervening on modifiable factors, for example lifestyle and psychosocial factors. For this reason, we aimed to simulate the development of educational inequalities in MDD across the life course, and to estimate the potential impact of intervening on modifiable factors. METHODS: We used data from the prospective Dutch Lifelines Cohort Study to estimate the required input for a continuous-time microsimulation. The microsimulation allowed us to project the development of educational inequalities in MDD between ages 18 and 65, and to assess the potential benefit of intervening on quality of social contacts, health literacy and smoking. RESULTS: On average, an additional 19.1% of individuals with low education will ever experience MDD between ages 18 and 65 compared with those with high education. Additionally, individuals with low education generally will develop MDD 0.9 years earlier and spend 1.2 years more with MDD, than individuals with high education. Improving the quality of social contacts in individuals with low education produced the largest effect; it would reduce the inequalities in the prevalence, onset and duration of MDD by an average of 18.4%, 18.3% and 28.6%, respectively. CONCLUSIONS: Intervening on modifiable factors, particularly quality of social contacts, in individuals with low education could help reduce the estimated educational inequalities in MDD over the life course.

Educational inequalities in metabolic syndrome prevalence, timing, and duration amongst adults over the life course: a microsimulation analysis based on the lifelines cohort study.

BACKGROUND: Educational inequalities in metabolic syndrome (MetS) are a growing public health concern. Intervening on modifiable factors may help reduce these inequalities, but there is a need for evidence on the long-term impact of intervening on these factors. Thus, we simulate the development of educational inequalities in MetS across the life course and assess the impact of intervening on the modifiable factors that contribute to these inequalities. METHODS: We used data from the prospective multigenerational Dutch Lifelines Cohort Study to estimate the required input for a continuous-time microsimulation. The microsimulation projects the development of educational inequalities in MetS between ages 18 and 65, and assesses the potential benefit of intervening on smoking, alcohol use, diet quality, and health literacy. FINDINGS: The likelihood of ever experiencing MetS between ages 18 and 65 varies from 32.5% among high educated women to 71.5% among low educated men. On average, 27.6% more individuals with low education will ever experience MetS between ages 18 and 65 compared to those with high education. Additionally, individuals with low education generally will develop MetS 2.3 years earlier, and will spend an extra 2.6 years with MetS, compared to individuals with high education. Changes to smoking behaviours in individuals with low education produced the largest effect; it would reduce inequalities in prevalence, timing and duration by an average of 7.5%, 9.5%, and 6.9%, respectively. CONCLUSIONS: Interventions targeting the modifiable factors included in this study, especially smoking, could help reduce the estimated educational inequalities in MetS over the life course.

Piloting a complex intervention to promote a tobacco and alcohol-free pregnancy: the Smoke and Alcohol Free with EHealth and Rewards (SAFER) pregnancy study.

BACKGROUND: Tobacco smoking and alcohol consumption before and during pregnancy increase the risk of adverse health outcomes for mother and child. Interventions to address smoking and drinking before and during pregnancy have the potential to reduce early-life health inequalities. In the Smoke and Alcohol Free with EHealth and Rewards (SAFER) pilot study we aimed to evaluate the acceptability, feasibility and effectiveness of a complex intervention supporting women in smoking and alcohol cessation before and during pregnancy. METHODS: From February 2019 till March 2021, we piloted the SAFER pregnancy intervention among pregnant women and women planning pregnancy in South-West Netherlands in an uncontrolled before-after study. Participants were supported in smoking and alcohol cessation via up to six group sessions and an online platform. In addition, biochemically validated cessation was rewarded with incentives (i.e. shopping vouchers) amounting up to 185 euros. We aimed to include 66 women. The primary outcome was smoking and/or alcohol cessation at 34-38 weeks of gestation (if pregnant) or after six group sessions (if not pregnant). Quantitative data were analysed using descriptive statistics. Focus group interviews among those involved in the study were conducted at the end of the study to explore their experiences. Qualitative data was analysed using thematic analysis. RESULTS: Thirty-nine women who smoked were included; no women who consumed alcohol were referred to the study. Unemployment (51%), financial problems (36%) and a smoking partner (72%) were common. Thirteen women (33%) dropped out, often due to other problems impeding smoking cessation or 'being too busy' to participate in the group sessions. Eleven women (28%) had quit smoking at the study's endpoint. The personal and positive approach was highly valued and biochemical validation was felt to be helpful. CONCLUSION: The SAFER pregnancy intervention seems appropriate for women in need of extra support for smoking cessation before and during pregnancy. Its impact on alcohol cessation could not be studied due to recruitment issues. Recruitment and prevention of early dropout need attention in further development of this intervention. TRIAL REGISTRATION: Netherlands Trial Register: NL7493. Date registered: 04/02/2019.

Pediatric patients' views regarding smoke-free hospital grounds compared to those of adults: A survey study.

INTRODUCTION: Children are important stakeholders in discussions about regulation of smoking and protection from secondhand smoke, but are rarely acknowledged as such. We explored the opinion of pediatric patients and other key stakeholders regarding the planned smoke-free zone around the Erasmus MC, a large university hospital in the Netherlands. METHODS: In 2019, we conducted a survey among pediatric patients and their parents, Erasmus MC employees, visitors, and adult patients, before implementation of the outdoor smoke-free zone, to assess their opinions on smoking and the planned smoke-free policy. Qualitative and quantitative data were collected and analyzed mostly using descriptive statistics and thematic analysis. RESULTS: In all, 91 parent-child dyads and 563 employees, visitors, patients and students filled in the questionnaires. Over 90% of children reported that they were regularly exposed to tobacco smoke, most often on the streets. Many underlined the exemplary role of healthcare providers, and 89% felt that nobody should be allowed to smoke near the hospital. Among parents, 89% were (very) positive towards the planned implementation of the smoke-free zone. In addition, 70% of adult patients, 81% of employees, 65% of visitors, 89% of students and 75% of 'others' were (very) positive about the new smoke-free policy. Smokers and former smokers generally were less positive about the policy. CONCLUSIONS: Children generally disapproved smoking around a hospital and felt that healthcare providers should be a good example concerning not smoking. The majority of adult patients, employees and visitors support a smoke-free zone surrounding the hospital, and virtually all pediatric patients and their parents do. Children should be acknowledged as important stakeholders in smoke-free policies and should be involved in planning and implementation.

Criterion Validity and Applicability of Motor Screening Instruments in Children Aged 5-6 Years: A Systematic Review.

The detection of motor developmental problems, especially developmental coordination disorder, at age 5-6 contributes to early interventions. Here, we summarize evidence on (1) criterion validity of screening instruments for motor developmental problems at age 5-6, and (2) their applicability. We systematically searched seven databases for studies assessing criterion validity of these screening instruments using the M-ABC as reference standard. We applied COSMIN criteria for systematic reviews of screening instruments to describe the correlation between the tests and the M-ABC. We extracted information on correlation coefficients or area under the receiver operating curve, sensitivity and specificity, and applicability in practice. We included eleven studies, assessing eight instruments: three performance-based tests (MAND, MOT 4-6, BFMT) and five questionnaires (DCD-Q, PQ, ASQ-3, MOQ-T-FI, M-ABC-2-C). The quality of seven studies was fair, one was good, and three were excellent. Seven studies reported low correlation coefficients or AUC (<0.70), four did not report these. Sensitivities ranged from 21-87% and specificities from 50-96%, with the MOT4-6 having the highest sensitivity and specificity. The DCD-Q, PQ, ASQ-3, MOQ-T-FI, and M-ABC-2-C scored highest on applicability. In conclusion, none of the instruments were sufficiently valid for motor screening at age 5-6. More research is needed on screening instruments of motor delay at age 5-6.

Smokers' responses to being addressed when smoking in an outdoor voluntary smoke-free zone: An observational study.

INTRODUCTION: Addressing smokers who smoke in a voluntary smoke-free area is vital to its successful implementation. Many people perceive barriers in addressing smokers due to fear of negative responses. Insights in actual responses are currently lacking. METHODS: This is an observational field study at the voluntary smoke-free zone surrounding the Erasmus MC and two schools in Rotterdam, the Netherlands. In the first month after implementing the zone, Erasmus MC representatives performed rounds to address smokers who were smoking inside the zone. Four people observed addressors for two weeks then they also addressed the smokers. Smokers were classified as employees, patients, students, or other. We noted whether smokers were addressed directly or indirectly, and their verbal and behavioral responses to being addressed. Differences between the responses of the groups were assessed using chi-squared tests. RESULTS: In all, 331 smokers were observed of whom 73% were addressed directly. Most verbal reactions were positive (46%) or neutral (18%). Employees were more likely to respond guiltily, whereas patients more often responded angrily than the others. After being addressed, the majority of smokers either extinguished their cigarette (41%) or left to continue smoking outside the smoke-free zone (34%). CONCLUSIONS: Most smokers showed a positive or neutral response when being addressed about smoking inside the smoke-free zone and the majority adapted their behavior to comply with the policy. These findings may help decrease barriers for those in doubt about addressing smokers that fail to comply with a smoke-free policy.

Impact of an Inner-City Smoke-Free Zone on Outdoor Smoking Patterns: A Before-After Study.

INTRODUCTION: On September 2, 2019, Rotterdam's first inner-city outdoor smoke-free zone encompassing the Erasmus MC, a large university hospital in the Netherlands, the Erasmiaans high school, the Rotterdam University of Applied Sciences and the public road in between, was implemented. AIMS AND METHODS: We aimed to assess spatiotemporal patterning of smoking before and after implementation of this outdoor smoke-free zone. We performed a before-after observational field study. We systematically observed the number of smokers, and their locations and characteristics over 37 days before and after implementation of the smoke-free zone. RESULTS: Before implementation of the smoke-free zone, 4098 people smoked in the area every weekday during working hours. After implementation, the daily number of smokers was 2241, a 45% reduction (p = .007). There was an increase of 432 smokers per day near and just outside the borders of the zone. At baseline, 31% of the smokers were categorized as employee, 22% as student and 3% as patient. Following implementation of the smoke-free zone, the largest decreases in smokers were observed among employees (-67%, p value .004) and patients (-70%, p value .049). Before and after implementation, 21 and 20 smokers were visibly addressed and asked to smoke elsewhere. CONCLUSIONS: Implementation of an inner-city smoke-free zone was associated with a substantial decline in the number of smokers in the zone and an overall reduction of smoking in the larger area. Further research should focus on optimizing implementation of and compliance with outdoor smoke-free zones. IMPLICATIONS: A smoke-free outdoor policy has the potential to denormalize and discourage smoking, support smokers who want to quit, and to protect people from secondhand smoke exposure. Implementation of an inner-city smoke-free zone encompassing a large tertiary hospital and two educational institutions was associated with a substantial decline in the number of smokers in the zone, as well as in the larger area. Voluntary outdoor smoke-free zones can help reduce the number of smokers in the area and protect people from secondhand smoke. There is a need to explore effectiveness of additional measures to further improve compliance.

Smoke and Alcohol Free with EHealth and Rewards (SAFER) pregnancy study: a before-after study protocol.

Despite existing interventions, tobacco smoking and alcohol consumption during pregnancy are common. The Smoke and Alcohol Free with EHealth and Rewards (SAFER) pregnancy intervention combines monthly group sessions, access to a web-based platform and incentives upon biochemically validated cessation for a maximum duration of 6 months to promote cessation of smoking and alcohol use before and during pregnancy. To inform development of the SAFER pregnancy intervention, two focus groups with the target population were held beforehand, with results reported here alongside the final SAFER pregnancy study protocol. In a before-after study we aim to include 66 women who are pregnant or have a wish to become pregnant and who smoke and/or consume alcohol (i.e. target population of the SAFER pregnancy intervention). The primary outcome measure is cessation of smoking and/or alcohol use at 34-38 weeks of gestation, or after six group sessions if women did not become pregnant during the study period. Secondary outcomes focus on the barriers and facilitators for implementation of the SAFER pregnancy intervention.

Development of a prediction model to target screening for high blood pressure in children.

Targeted screening for childhood high blood pressure may be more feasible than routine blood pressure measurement in all children to avoid unnecessary harms, overdiagnosis or costs. Targeting maybe based e.g. on being overweight, but information on other predictors may also be useful. Therefore, we aimed to develop a multivariable diagnostic prediction model to select children aged 9-10 years for blood pressure measurement. Data from 5359 children in a population-based prospective cohort study were used. High blood pressure was defined as systolic or diastolic blood pressure ≥ 95th percentile for gender, age, and height. Logistic regression with backward selection was used to identify the strongest predictors related to pregnancy, child, and parent characteristics. Internal validation was performed using bootstrapping. 227 children (4.2%) had high blood pressure. The diagnostic model included maternal hypertensive disease during pregnancy, maternal BMI, maternal educational level, parental hypertension, parental smoking, child birth weight standard deviation score (SDS), child BMI SDS, and child ethnicity. The area under the ROC curve was 0.73, compared to 0.65 when using only child overweight. Using the model and a cut-off of 5% for predicted risk, sensitivity and specificity were 59% and 76%; using child overweight only, sensitivity and specificity were 47% and 84%. In conclusion, our diagnostic prediction model uses easily obtainable information to identify children at increased risk of high blood pressure, offering an opportunity for targeted screening. This model enables to detect a higher proportion of children with high blood pressure than a strategy based on child overweight only.

Risk factors for emotional and behavioral problems in moderately-late preterms.

OBJECTIVE: To assess which factors, including maternal, lifestyle, pregnancy- and delivery-related, fetal and neonatal factors adjusted for socio-economic status, are related to emotional and behavioral problems in moderately-late preterm born children (MLPs; gestational age 32.0-35.9 weeks) at 4 years of age. MLPs are at greater risk of emotional and behavioral problems than full-term born children. Especially for MLPs, knowledge about factors that increase or decrease the risk of emotional and behavioral problems is scarce. DESIGN AND SETTING: We assessed emotional and behavioral problems in 809 MLPs between ages 41 and 49 months from the prospective community-based Longitudinal Preterm Outcome Project (LOLLIPOP), using the parent-reported Child Behavior Checklist (CBCL). We collected potential risk factors from hospital records and parental questionnaires. Univariable and multiple logistic regression analyses were applied. MAIN OUTCOME MEASURES: (Sub)clinical CBCL scores. RESULTS: Perinatal infection increased the risk of CBCL total problem scores with an OR 2.22 (p<0.01). Perinatal infection, maternal smoking, and male gender increased the risk of CBCL externalizing problem scores with ORs between 1.64 and 2.46 (all p<0.05). Multiple birth decreased the risk of CBCL internalizing problem scores with an OR 0.63 (p<0.05). CONCLUSIONS: Risk factors for behavioral problems in MLPs are male gender, perinatal infection and maternal smoking, the latter two being potentially modifiable. Multiple birth is a protective factor for emotional problems in MLPs. These results suggest potential factors for targeting preventive intervention in MLPs, comprising the large majority of all preterm born children.

Does a reduction in alcohol use by Dutch high school students relate to higher use of tobacco and cannabis?

BACKGROUND: Substance use of adolescents was investigated in a region around Amsterdam, the Netherlands, in the period 2005-2009. The study was intended to find out to what extent behaviour related to different substances are interrelated and how trends develop in different subgroups. METHODS: Two cross-sectional surveys were conducted among Dutch students in the second and fourth year of secondary school, aged 13-16 [n = 1,854 in 2005; n = 2,088 in 2009] by making use of an online questionnaire including questions about alcohol consumption, tobacco use (smoking behaviour) and cannabis use. Two educational levels were included. RESULTS: Decreases in alcohol consumption, tobacco and cannabis use were found between 2005 and 2009. The strongest decline was seen in alcohol consumption. Last month drinking decreased from 61.8% in 2005 to 36.5% in 2009. Last month binge drinking decreased from 38.7% in 2005 to 24.0% in 2009. Reduced alcohol consumption was found among boys and girls, for all ages and in both educational levels. Changes were strongest among 13-year-olds. Weekly or daily smoking declined between 2005 and 2009 among 13-year-olds, girls and students in the lower schooling level. Last month cannabis use decreased among girls and students in the higher schooling level. In both 2005 and 2009 clustering with alcohol consumption was found for the use of other substances. CONCLUSIONS: Between 2005 and 2009 alcohol consumption strongly decreased among high school students. This may be due to the national prevention campaign which in the same period highlighted the importance of not drinking before the age of 16. The decrease in smoking and cannabis use between 2005 and 2009 may be due to clustering with alcohol consumption. A reduction in the use of alcohol in adolescence did not lead to replacement by tobacco or cannabis use.