An empirical study on accountability for promoting healthy food environments in England through the public health responsibility deal food network

Objective: In 2011, the United Kingdom launched five Public Health Responsibility Deal Networks inspired by ‘nudge theory’ to facilitate healthy-lifestyle behaviors. This study used Q methodology to examine stakeholders’ views about responsibility and accountability for healthy food environments to reduce obesity and diet-related chronic diseases. Design: A purposive sample of policy elites (n=31) from government, academia, food industry and civil society sorted 48 statements grounded in three theoretical perspectives (i.e., legitimacy, nudge and public health law). Factor analysis identified intra-individual statement sorting differences. Results: A three-factor solution explained 64 percent of the variance across three distinct viewpoints: food environment protectors (n=17) underscored government responsibility to address unhealthy food environments; partnership pioneers (n=12) recognized government-industry partnerships as legitimate; and the commercial market defenders (n=1) emphasized individual responsibility for food choices and rejected any government intervention. Conclusions: Building trust and strengthening accountability structures may help stakeholders navigate differences to engage in constructive actions. This research may inform efforts in other countries where voluntary industry partnerships are pursued to address unhealthy food environments.

Development and implementation of Taiwan's child health literacy test

Objectives: The aims of this study were to develop Taiwan's Child Health Literacy Test and to undertake a nation-wide survey in order to determine the current status of Taiwanese sixth graders' health literacy, and to understand the association between health literacy, healthy behavior, and health status. absp Methods: Taiwan's Child Health Literacy Test was developed through the process of concept clarification, a qualitative pilot, a development pilot, and a field test. In the field test, 162,609 sixth graders (56.9%) from 2,235 schools (83.3%) nationwide completed the questionnaire. We also collected the students' dates of birth, BMIs, self-reported health and healthy behaviors. absp Results: The final test consisted of 32 questions with item discrimination of 0.55-1.89 and item difficulty of-1.7-0.41 according to IRT; Cronbach's a was 0.87. Based on this information, the test was deemed appropriate for basic health literacy screening among children. Nation-wide, the average score for sixth graders' health literacy was 23.97 points (total score 32 points), with a correct rate of 74.9%. Those who were "good" in self-reported health scored highest in health literacy (M = 24.29). Health literacy was significantly positively related to healthy behavior (r = .25, p< .05), and negatively to risky behavior (r =-.28, p< .05). absp Conclusions: This study was the first curriculum-based child health literacy test developed from the viewpoints of both teachers and pupils in Taiwan through a rigorous procedure. The nationwide survey results may serve as a reference for decision-makers at the national health education level.

Neighborhood environmental attributes and adults' sedentary behaviors: review and research agenda

OBJECTIVE: Physical activity recommendations are beginning to address sedentary behaviors - time spent sitting. Environmental and policy initiatives for physical activity might assist in addressing sedentary behaviors, but sedentary-specific innovations may be required. This review synthesizes current evidence on associations of neighborhood environmental attributes with adults' sedentary behaviors. METHODS: A search was conducted using three electronic databases (PubMed, Web of Science, and Transport Research Information Services). Relevant articles were assessed for their eligibility for inclusion (English-language articles with a quantitative examination of associations of neighborhood environmental attributes with adults' sedentary behaviors). RESULTS: Within 17 studies meeting inclusion criteria, associations of environmental attributes with sedentary behaviors were examined in 89 instances. Significant associations were found in 28% (n=25) of them; however, non-significant associations were found in 56% (n=50) of these instances. The most consistent association was for lower levels of sedentary behavior among residents of urban compared to regional areas. CONCLUSIONS: There is a modest but mixed initial evidence in associations of neighborhood environmental attributes with adults' sedentary behaviors. A research agenda required for this emerging field should include the development of more relevant conceptual models, measuring domain-specific sedentary behavior objectively, examining environments in close vicinity of and a larger area around home, and the use of prospective designs.

Physical health comorbidities in women with personality disorder: data from the Geelong osteoporosis study

BACKGROUND: Associations between common psychiatric disorders, psychotic disorders and physical health comorbidities are frequently investigated. The complex relationship between personality disorders (PDs) and physical health is less understood, and findings to date are varied. This study aims to investigate associations between PDs with a number of prevalent physical health conditions. METHODS: This study examined data collected from women (n=765;≥25years) participating in a population-based study located in south-eastern Australia. Lifetime history of psychiatric disorders was assessed using the semi-structured clinical interviews (SCID-I/NP and SCID-II). The presence of physical health conditions (lifetime) were identified via a combination of self-report, medical records, medication use and clinical data. Socioeconomic status, and information regarding medication use, lifestyle behaviors, and sociodemographic information was collected via questionnaires. Logistic regression models were used to investigate associations. RESULTS: After adjustment for sociodemographic variables (age, socioeconomic status) and health-related factors (body mass index, physical activity, smoking, psychotropic medication use), PDs were consistently associated with a range of physical health conditions. Novel associations were observed between Cluster A PDs and gastro-oesophageal reflux disease (GORD); Cluster B PDs with syncope and seizures, as well as arthritis; and Cluster C PDs with GORD and recurrent headaches. CONCLUSIONS: PDs were associated with physical comorbidity. The current data contribute to a growing evidence base demonstrating associations between PDs and a number of physical health conditions independent of psychiatric comorbidity, sociodemographic and lifestyle factors. Longitudinal studies are now required to investigate causal pathways, as are studies determining pathological mechanisms.

Psychological health and lifestyle management preconception and in pregnancy

Healthful lifestyles before and during pregnancy are important to facilitate healthy outcomes for mother and baby. For example, behaviors such as a sedentary lifestyle and consuming an energy-dense/nutrient-poor diet increase the risk of overweight/obesity before pregnancy and excessive weight gain during pregnancy, leading to adverse maternal and child health outcomes. Maternal psychopathology may be implicated in the development of suboptimal maternal lifestyle behaviors before and during pregnancy, perhaps through impacts on motivation. This article explores this notion using maternal obesity and excessive gestational weight gain as examples of the health impacts of psychological states. We suggest that factors such as psychological well-being, individual motivation for behavior change, and broader environmental influences that affect both individual and system-wide determinants all play important roles in promoting healthy lifestyles periconception and are key modifiable aspects for intervention designers to consider when trying to improve dietary behaviors and increase physical activity before and during pregnancy. In addition, implementing system-wide changes that impact positively on individual and environmental barriers to behavior change that are sustainable, measureable, and effective is required.

Living healthier for longer: comparative effects of three heart-healthy behaviors on life expectancy with and without cardiovascular disease

BACKGROUND: Non-smoking, having a normal weight and increased levels of physical activity are perhaps the three key factors for preventing cardiovascular disease (CVD). However, the relative effects of these factors on healthy longevity have not been well described. We aimed to calculate and compare the effects of non-smoking, normal weight and physical activity in middle-aged populations on life expectancy with and without cardiovascular disease.

METHODS: Using multi-state life tables and data from the Framingham Heart Study (n = 4634) we calculated the effects of three heart healthy behaviours among populations aged 50 years and over on life expectancy with and without cardiovascular disease. For the life table calculations, we used hazard ratios for 3 transitions (No CVD to CVD, no CVD to death, and CVD to death) by health behaviour category, and adjusted for age, sex, and potential confounders.

RESULTS: High levels of physical activity, never smoking (men), and normal weight were each associated with 20-40% lower risks of developing CVD as compared to low physical activity, current smoking and obesity, respectively. Never smoking and high levels of physical activity reduced the risks of dying in those with and without a history of CVD, but normal weight did not. Never-smoking was associated with the largest gains in total life expectancy (4.3 years, men, 4.1 years, women) and CVD-free life expectancy (3.8 and 3.4 years, respectively). High levels of physical activity and normal weight were associated with lesser gains in total life expectancy (3.5 years, men and 3.4 years, women, and 1.3 years, men and 1.0 year women, respectively), and slightly lesser gains in CVD-free life expectancy (3.0 years, men and 3.1 years, women, and 3.1 years men and 2.9 years women, respectively). Normal weight was the only behaviour associated with a reduction in the number of years lived with CVD (1.8 years, men and 1.9 years, women).

CONCLUSIONS: Achieving high levels of physical activity, normal weight, and never smoking, are effective ways to prevent cardiovascular disease and to extend total life expectancy and the number of years lived free of CVD. Increasing the prevalence of normal weight could further reduce the time spent with CVD in the population.

Does positive mental health in adolescence longitudinally predict healthy transitions in young adulthood?

The present study examined the longer-term implications of adolescent positive mental health for successful young adult transitions. Positive mental health in adolescence was defined by indicators roughly corresponding to Seligman’s positive psychology PERMA framework (positive emotional experiences, engagement, relationships, purpose, and accomplishment), with the addition of health. Data were drawn from one of Australia’s longest running studies of social and emotional development (Australian Temperament Project, est. 1983, N = 2443), which has followed a large representative community sample from infancy to 27–28 years of age. In the analyzed sample of n = 999, positive mental health at 15–16 years was associated with indicators of career progression (educational attainment and perceived competence) and taking on citizenship responsibilities (volunteering and civic activities) over a decade later at 27–28 years. Mental health problems in adolescence were more relevant to establishing romantic partnerships in young adulthood: adolescent antisocial behaviors predicted higher likelihood of being in a relationship, while depressive symptoms predicted lower quality partnerships. The results suggest that successful transitions into young adult roles and responsibilities may be facilitated by targeted mental health promotion interventions designed to both foster positive mental health and address mental health difficulties in adolescence.

Salt intakes, knowledge, and behavior in Samoa: monitoring salt-consumption patterns through the World Health Organization's Surveillance of Noncommunicable Disease Risk Factors (STEPS)

This project measured population salt intake in Samoa by integrating urinary sodium analysis into the World Health Organization's (WHO's) STEPwise approach to surveillance of noncommunicable disease risk factors (STEPS). A subsample of the Samoan Ministry of Health's 2013 STEPS Survey collected 24-hour and spot urine samples and completed questions on salt-related behaviors. Complete urine samples were available for 293 participants. Overall, weighted mean population 24-hour urine excretion of salt was 7.09 g (standard error 0.19) to 7.63 g (standard error 0.27) for men and 6.39 g (standard error 0.14) for women (P=.0014). Salt intake increased with body mass index (P=.0004), and people who added salt at the table had 1.5 g higher salt intakes than those who did not add salt (P=.0422). A total of 70% of the population had urinary excretion values above the 5 g/d cutoff recommended by the WHO. A reduction of 30% (2 g) would reduce average population salt intake to 5 g/d, in line with WHO recommendations. While challenging, integration of salt monitoring into STEPS provides clear logistical and cost benefits and the lessons communicated here can help inform future programs.

Modern screen-use behaviors: the effects of single- and multi-screen use on energy intake

PURPOSE: The effects of using multiple screens at once on energy intake (EI) are unknown. This study compared EI of participants with access to multiple screens (television + iPad + smartphone) versus a single screen (television). METHODS: A laboratory-based, randomized, two-arm parallel (multi-screen vs. single-screen) trial was conducted in 78 adolescents (ages, 13-18 years). Food and drink were available during a 1-hour exposure period. Total EI was the primary outcome. Linear regression analyses were conducted to test the treatment difference, adjusting for age, sex, body mass index, and appetite at baseline. RESULTS: Total EI did not differ significantly between the two groups (multi-screen, 758 kcal [standard error = 75] vs. single-screen, 681 kcal [standard error = 75]; difference, +77 kcal; 95% confidence interval, -166 to +320). CONCLUSIONS: EI did not differ between adolescents with access to multiple screens and those with access to a single screen; however, limitations in the study design may have decreased the power of the study.

Health literacy mediates the relationship between educational attainment and health behavior: a Danish population-based study

Individuals with a lower education level frequently have unhealthier behaviors than individuals with a higher education level, but the pathway is not fully understood. The aim of this study was to investigate whether health literacy mediates the association between educational attainment and health behavior (smoking, physical inactivity, poor diet) and obesity. The study included respondents ages 25 years or older drawn from a large population-based survey conducted in 2013 (N = 29,473). Two scales from the Health Literacy Questionnaire were used: (a) Understanding health information well enough to know what to do and (b) Ability to actively engage with health care providers. Multiple mediation analyses were conducted using the Karlson-Holm-Breen method. The study showed that health literacy in general and the ability to understand health information in particular mediated the relationship between educational attainment and health behavior, especially in relation to being physically inactive (accounting for 20% of the variance), having a poor diet (accounting for 13% of the variance), and being obese (accounting for 16% of the variance). These findings suggest that strategies for improving health behavior and reducing health inequalities may benefit from adopting a stronger focus on health literacy within prevention, patient education, and other public health interventions.

mHealth technologies to influence physical activity and sedentary behaviors: behavior change techniques, systematic review and meta-analysis of randomized controlled trials

BACKGROUND: mHealth programs offer potential for practical and cost-effective delivery of interventions capable of reaching many individuals.

PURPOSE: To (1) compare the effectiveness of mHealth interventions to promote physical activity (PA) and reduce sedentary behavior (SB) in free-living young people and adults with a comparator exposed to usual care/minimal intervention; (2) determine whether, and to what extent, such interventions affect PA and SB levels and (3) use the taxonomy of behavior change techniques (BCTs) to describe intervention characteristics.

METHODS: A systematic review and meta-analysis following PRISMA guidelines was undertaken to identify randomized controlled trials (RCTs) comparing mHealth interventions with usual or minimal care among individuals free from conditions that could limit PA. Total PA, moderate-to-vigorous intensity physical activity (MVPA), walking and SB outcomes were extracted. Intervention content was independently coded following the 93-item taxonomy of BCTs.

RESULTS: Twenty-one RCTs (1701 participants-700 with objectively measured PA) met eligibility criteria. SB decreased more following mHealth interventions than after usual care (standardised mean difference (SMD) -0.26, 95 % confidence interval (CI) -0.53 to -0.00). Summary effects across studies were small to moderate and non-significant for total PA (SMD 0.14, 95 % CI -0.12 to 0.41); MVPA (SMD 0.37, 95 % CI -0.03 to 0.77); and walking (SMD 0.14, 95 % CI -0.01 to 0.29). BCTs were employed more frequently in intervention (mean = 6.9, range 2 to 12) than in comparator conditions (mean = 3.1, range 0 to 10). Of all BCTs, only 31 were employed in intervention conditions.

CONCLUSIONS: Current mHealth interventions have small effects on PA/SB. Technological advancements will enable more comprehensive, interactive and responsive intervention delivery. Future mHealth PA studies should ensure that all the active ingredients of the intervention are reported in sufficient detail.