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Background Meal skipping is poorly understood among adolescents in Southeast Asia. The study aimed to investigate the type of and any meal skipping prevalence, its associated factors (sociodemographic and protective) and associations between meal skipping types and dietary, mental, and various health risk behaviour outcomes among school adolescents in the Philippines. Method The 2019 Philippines Global School-based Student Health Survey (GSHS), a nationally representative survey of teenagers aged 11 to 18 (mean age 13.8 years, Standard Deviation-SD = 1.5) that used a multistage sampling technique, provided the study’s data. In order to determine the variables associated with meal skipping (breakfast, lunch, dinner, any meal) and associations of meal skipping with six dietary indicators, four mental health indicators, and ten health risk behaviours, the study used bivariate and multivariable multinomial and binary logistic regression analysis. Results The past-month prevalence of most skipping breakfast was 37.1%, most skipping lunch 20.1%, most skipping dinner 10.8%, and any meal skipping 68.1%. Most of the students (89.1%) reported having been exposed to healthy eating classes in school, and 51.7% said that they cannot buy soft drinks in school. Female sex, older adolescents, lower socioeconomic status, not being religious, no school truancy, low or no peer and/or parental support were associated with meal (breakfast, lunch, and/or dinner) skipping. Exposure to skipping breakfast, lunch, dinner, or any meal increased the odds of low vegetable, soft drink, and fast-food intake, overweight, obesity, suicidal ideation, plan, attempt, psychological distress, sedentary behaviour, alcohol use, drug use, physical injury, poor hand, and oral hygiene, and not always wearing a seatbelt. Conclusion Almost seven in 10 adolescents skipped any meal in the past month. Sociodemographic and protective factors were associated with meal skipping. Exposure to meal skipping was associated with 15 out of 17 dietary, mental health, and other health risk behaviour outcomes. In order to lower various adverse health outcomes in adolescents, the results thus showed how important it is to improve in a regular meal pattern, particularly meal frequency and meal skipping. Interventions incorporating parental and peer engagement could be strengthened alongside school health education to effectively address meal skipping behaviours.

The aim of this study was to build a detailed, integrative profile of the correlates of young adults' feelings of loneliness, in terms of their current health and functioning and their childhood experiences and circumstances. Data were drawn from the Environmental Risk Longitudinal Twin Study, a birth cohort of 2232 individuals born in England and Wales in 1994 and 1995. Loneliness was measured when participants were aged 18. Regression analyses were used to test concurrent associations between loneliness and health and functioning in young adulthood. Longitudinal analyses were conducted to examine childhood factors associated with young adult loneliness. Lonelier young adults were more likely to experience mental health problems, to engage in physical health risk behaviours, and to use more negative strategies to cope with stress. They were less confident in their employment prospects and were more likely to be out of work. Lonelier young adults were, as children, more likely to have had mental health difficulties and to have experienced bullying and social isolation. Loneliness was evenly distributed across genders and socioeconomic backgrounds. Young adults' experience of loneliness co-occurs with a diverse range of problems, with potential implications for health in later life. The findings underscore the importance of early intervention to prevent lonely young adults from being trapped in loneliness as they age.

More remains unknown than known about how to optimize multiple health behaviour change. After reviewing the prevalence and comorbidities among major chronic disease risk behaviours for adults and youth, we consider the origins and applicability of high-risk and population strategies to foster multiple health behaviour change. Findings indicate that health risk behaviours are prevalent, increase with age and co-occur as risk behaviour clusters or bundles. We conclude that both population and high-risk strategies for health behaviour intervention are warranted, potentially synergistic and need intervention design that accounts for substitute and complementary relationships among bundled health behaviours. To maximize positive public health impact, a pressing need exists for bodies of basic and translational science that explain health behaviour bundling. Also needed is applied science that elucidates the following: (1) the optimal number of behaviours to intervene upon; (2) how target behaviours are best selected (e.g. greatest health impact; patient preference or positive effect on bundled behaviours); (3) whether to increase healthy or decrease unhealthy behaviours; (4) whether to intervene on health behaviours simultaneously or sequentially and (5) how to achieve positive synergies across individual-, group- and population-level intervention approaches.

Rigorous analysis of levels and trends in exposure to leading risk factors and quantification of their effect on human health are important to identify where public health is making progress and in which cases current efforts are inadequate. The Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) 2019 provides a standardised and comprehensive assessment of the magnitude of risk factor exposure, relative risk, and attributable burden of disease. GBD 2019 estimated attributable mortality, years of life lost (YLLs), years of life lived with disability (YLDs), and disability-adjusted life-years (DALYs) for 87 risk factors and combinations of risk factors, at the global level, regionally, and for 204 countries and territories. GBD uses a hierarchical list of risk factors so that specific risk factors (eg, sodium intake), and related aggregates (eg, diet quality), are both evaluated. This method has six analytical steps. (1) We included 560 risk–outcome pairs that met criteria for convincing or probable evidence on the basis of research studies. 12 risk–outcome pairs included in GBD 2017 no longer met inclusion criteria and 47 risk–outcome pairs for risks already included in GBD 2017 were added based on new evidence. (2) Relative risks were estimated as a function of exposure based on published systematic reviews, 81 systematic reviews done for GBD 2019, and meta-regression. (3) Levels of exposure in each age-sex-location-year included in the study were estimated based on all available data sources using spatiotemporal Gaussian process regression, DisMod-MR 2.1, a Bayesian meta-regression method, or alternative methods. (4) We determined, from published trials or cohort studies, the level of exposure associated with minimum risk, called the theoretical minimum risk exposure level. (5) Attributable deaths, YLLs, YLDs, and DALYs were computed by multiplying population attributable fractions (PAFs) by the relevant outcome quantity for each age-sex-location-year. (6) PAFs and attributable burden for combinations of risk factors were estimated taking into account mediation of different risk factors through other risk factors. Across all six analytical steps, 30 652 distinct data sources were used in the analysis. Uncertainty in each step of the analysis was propagated into the final estimates of attributable burden. Exposure levels for dichotomous, polytomous, and continuous risk factors were summarised with use of the summary exposure value to facilitate comparisons over time, across location, and across risks. Because the entire time series from 1990 to 2019 has been re-estimated with use of consistent data and methods, these results supersede previously published GBD estimates of attributable burden. The largest declines in risk exposure from 2010 to 2019 were among a set of risks that are strongly linked to social and economic development, including household air pollution; unsafe water, sanitation, and handwashing; and child growth failure. Global declines also occurred for tobacco smoking and lead exposure. The largest increases in risk exposure were for ambient particulate matter pollution, drug use, high fasting plasma glucose, and high body-mass index. In 2019, the leading Level 2 risk factor globally for attributable deaths was high systolic blood pressure, which accounted for 10·8 million (95% uncertainty interval [UI] 9·51–12·1) deaths (19·2% [16·9–21·3] of all deaths in 2019), followed by tobacco (smoked, second-hand, and chewing), which accounted for 8·71 million (8·12–9·31) deaths (15·4% [14·6–16·2] of all deaths in 2019). The leading Level 2 risk factor for attributable DALYs globally in 2019 was child and maternal malnutrition, which largely affects health in the youngest age groups and accounted for 295 million (253–350) DALYs (11·6% [10·3–13·1] of all global DALYs that year). The risk factor burden varied considerably in 2019 between age groups and locations. Among children aged 0–9 years, the three leading detailed risk factors for attributable DALYs were all related to malnutrition. Iron deficiency was the leading risk factor for those aged 10–24 years, alcohol use for those aged 25–49 years, and high systolic blood pressure for those aged 50–74 years and 75 years and older. Overall, the record for reducing exposure to harmful risks over the past three decades is poor. Success with reducing smoking and lead exposure through regulatory policy might point the way for a stronger role for public policy on other risks in addition to continued efforts to provide information on risk factor harm to the general public. Bill & Melinda Gates Foundation.

BackgroundSeveral studies have reported on the benefits of social support for health behaviour, including risky sex. Social support may thus be an important resource for promoting individual health and well-being, particularly in regions where HIV rates are high and healthcare resources are scarce. However, prior research on the implications of social support for the health behaviour of young women has yielded mixed and inconclusive findings. Using prospective data from young women in South Africa, this study examines the associations of social support with subsequent sexual practices, health behaviour, and health outcomes.MethodWe used two rounds of longitudinal data from a sample of n = 1446 HIV-negative emerging adult women, aged 18 to 29 years, who participated in a population-based HIV study in KwaZulu-Natal, South Africa. Applying the analytic template for outcome-wide longitudinal designs, we estimated the associations between combinations of social support (i.e. tangible, educational, emotional) and ten HIV risk–related outcomes.ResultsCombinations of tangible, educational, and emotional support, as well as tangible support by itself, were associated with lower risk for several outcomes, whereas educational and emotional support, by themselves or together, showed little evidence of association with the outcomes.ConclusionThis study highlights the protective role of tangible support in an environment of widespread poverty, and the additional effect of combining tangible support with non-tangible support. The findings strengthen recent evidence on the benefits of combining support in the form of cash and food with psychosocial care in mitigating risk behaviours associated with HIV and negative health outcomes among young women.

Indicated prevention of mental illness is an important public health concern among youth. The aim of this study was to establish a European school-based professional screening among adolescents, which included variables on both a broad range of risk-behaviours and psychopathology; and to investigate the indicative value of adolescent risk-behaviour and self-reported psychopathology on help-seeking and psychological problems that required subsequent mental healthcare. A two-stage professional screening approach was developed and performed within the multi-centre study “Saving and Empowering Young Lives in Europe” (SEYLE). The first stage of screening comprised a self-report questionnaire on a representative sample of 3,070 adolescents from 11 European countries. In the second stage, students deemed at-risk for mental health problems were evaluated using a semi-structured clinical interview performed by healthcare professionals. 61 % of participants ( n  = 1,865) were identified as being at-risk in stage one. In stage two, 384 participants (12.5 % of the original sample) were found to require subsequent mental healthcare during semi-structured, clinical assessment. Among those, 18.5 % of pupils were identified due to screening for psychopathology alone; 29.4 % due to screening for risk-behaviours alone; and 52.1 % by a combination of both. Young age and peer victimization increased help-seeking, while very low body mass index, depression, suicidal behaviour and substance abuse were the best predictors of referral to mental healthcare. Screening of risk-behaviours significantly increased the number of detected students requiring subsequent mental healthcare. Screening of risk-behaviours added significant value in identifying the significant amount of European pupils with mental health problems. Therefore, attention to adolescent risk-behaviours in addition to psychopathology is critical in facilitating prevention and early intervention. Identifying factors that increase compliance to clinical interviews are crucial in improving screening procedures.

While the human immunodeficiency virus (HIV) incidence rate has remained steady in most groups, the overall incidence of HIV among men who have sex with men (MSM) has been steadily increasing in the United States. eHealth is a platform for health behavior change interventions and provides new opportunities for the delivery of HIV prevention messages. The purpose of this systematic review was to examine the use of eHealth interventions for HIV prevention in high-risk MSM. We systematically searched PubMed, OVID, ISI Web of Knowledge, Google Scholar, and Google for articles and grey literature reporting the original results of any studies related to HIV prevention in MSM and developed a standard data collection form to extract information on study characteristics and outcome data. In total, 13 articles met the inclusion criteria, of which five articles targeted HIV testing behaviors and eight focused on decreasing HIV risk behaviors. Interventions included Web-based education modules, text messaging (SMS, short message service), chat rooms, and social networking. The methodological quality of articles ranged from 49.4-94.6%. Wide variation in the interventions meant synthesis of the results using meta-analysis would not be appropriate. This review shows evidence that eHealth for HIV prevention in high-risk MSM has the potential to be effective in the short term for reducing HIV risk behaviors and increasing testing rates. Given that many of these studies were short term and had other limitations, but showed strong preliminary evidence of improving outcomes, additional work needs to rigorously assess the use of eHealth strategies for HIV prevention in high-risk MSM.

This study aimed to explore relationships between being an ‘affected other’ (AO) and an individual’s own gambling, health risk behaviours, financial problems, poor general health, and low mental wellbeing. A cross-sectional survey using representative and supplementary convenience samples was undertaken with 1234 residents of a British Island aged 16 + years. Being an AO was measured as having a partner or relative who has been gambling regularly in the past 12 months. PGSI was used to assess gambling severity. Health risk behaviours included: poor diet, low physical activity, daily smoking, and binge drinking. Other measures included experiencing financial problems, poor general health, and low mental wellbeing. Analyses were performed using χ 2 and binary logistic regressions. 11.0% of participants were AOs. AOs were more likely to gamble at at-risk/problem-gambling levels and experience financial problems compared to those who were not affected others. The significant relationship between being an AO and low mental wellbeing was mediated by experiencing financial problems. The relationship between being an AO and engaging in two or more health risk behaviours was no longer significant after controlling for sociodemographics and an individual’s own gambling. The relationship between being an AO and poor general health was no longer significant after controlling for sociodemographics, health risk behaviours and an individual’s own gambling. AOs experienced risks to health and wellbeing, with findings not limited to AOs specifically with a relationship to an individual with problem-gambling. Therefore, support for AOs should be more widely available, aiming to address AOs’ needs holistically.

Abstract Although behavior change interventions are highly recommended in health care, their reach, a core dimension of the public health impact of interventions, is rarely evaluated. This study aimed to investigate whether an individualized, computer-based brief intervention to reduce co-occurring health risk behaviors (HRBs), namely tobacco smoking, at-risk alcohol use, insufficient physical activity, and unhealthy diet, can reach and retain a sufficiently large part of general hospital patients (>75%) and whether patients with high need, that is with more HRBs, low school education or current unemployment may be sufficiently reached and retained. Over 6 weeks in 2022, all 18–64-year-old patients admitted to 11 wards of five medical departments of a university hospital in Germany were asked to participate in a computer-based HRB screening and in a pre-post intervention study with three further assessments and individualized computer-generated feedback. To investigate associations between intervention reach and retention and patient characteristics, a logistic and a Poisson regression analysis were used. Screening reached 78.9% of all eligible patients (225/285). Of those eligible for the intervention study, 81.8% (175/214) participated in the intervention. Among these, 76.0% (133/175) participated at least once more after hospitalization. Patients’ lifestyle and socio-economic characteristics were not significantly associated with reach or retention, Ps ≥ .467. Proactive computer-based multiple-HRB change interventions may reach and retain a sufficiently large part of general hospital patients, including those most in need. When proven efficacious and adequately implemented, this is a promising approach concerning public health impact in the reduction non-communicable diseases. Trial registration:  ClinicalTrials.gov NCT05365269, 9 May 2022.

Scientific evidence reveals a high prevalence of health risk behaviour among university students. This calls for the creation of educational programmes that promote more knowledge about health. However, knowledge alone is not enough to change behaviours; other factors should be considered, including attitudes towards health. The objective of this cross-sectional study was to analyse the relationship between knowledge, attitudes and health risk behaviours among university students. For this, a previously validated self-report questionnaire was applied to a stratified sample of 840 students, by year of study (first- and third-year students) and their scientific area. In addition to sociodemographic issues, the questionnaire contains a health-related knowledge scale, an attitudes towards health scale, and questions about health risk behaviours. Students displayed poor knowledge about health, correctly answering 17.77 (SD = 4.59) questions out of a total of 36, and moderate scores concerning attitudes towards health (M = 2.61, SD = 0.48, range: 1–5). Students reported always engaging in, on average, 3.88 (SD = 1.45) of the seven behaviours subject to the analysis. Mediation analyses indicated that knowledge about health and attitudes towards health were statistically significant predictors of risky behaviours. Furthermore, it was indicated that attitudes towards health have a mediating effect between health knowledge and health risk behaviours. Findings from this study indicate that public health and education policies should promote healthy behaviours among university students, taking into account not only the level of knowledge but essentially the development of positive attitudes when facing behaviours which put health at risk.