Associations between macronutrient intake and serum lipid profile depend on body fat in European adolescents: the Healthy Lifestyle in Europe by Nutrition in Adolescence (HELENA) study

The present study aimed to investigate the relationships between macronutrient intake and serum lipid profile in adolescents from eight European cities participating in the HELENA (Healthy Lifestyle in Europe by Nutrition in Adolescence) cross-sectional study (2006–7), and to assess the role of body fat-related variables in these associations. Weight, height, waist circumference, skinfold thicknesses, total choles- terol, HDL-cholesterol (HDL-C), LDL-cholesterol, TAG, apoB and apoA1 were measured in 454 adolescents (44 % boys) aged 12·5–17·5 years. Macronutrient intake (g/4180 kJ per d (1000 kcal per d)) was assessed using two non-consecutive 24 h dietary recalls. Associations were evaluated by multi-level analysis and adjusted for sex, age, maternal education, centre, sum of four skinfolds, moderate-to-vigorous.

Healthy lifestyle quiz for young women and girls.

"6/03"--Colophon.

Healthy lifestyle quiz for young women and girls.

"6/05." -- Colophon.

Lifestyle Behaviors and Self-Rated Health: The Living for Health Program

Background. Lack of adherence to dietary and physical activity guidelines has been linked to an increase in chronic diseases in the United States (US). The aim of this study was to assess the association of lifestyle behaviors with self-rated health (SRH). Methods. This cross-sectional study used self-reported data from Living for Health Program ( 1,701) which was conducted from 2008 to 2012 in 190 health fair events in South Florida, US. Results. Significantly higher percent of females as compared to males were classified as obese (35.4% versus 27.0%), reported poor/fair SRH (23.4% versus 15.0%), and were less physically active (33.9% versus 25.4%). Adjusted logistic regression models indicated that both females and males were more likely to report poor/fair SRH if they consumed 2 servings of fruits and vegetables per day (, 95% CI 1.30–3.54; , 95% CI 1.12–7.35, resp.) and consumed mostly high fat foods (, 95% CI 1.03–2.43; , 95% CI 1.67–2.43, resp.). The association of SRH with less physical activity was only significant in females (, 95% CI 1.17–2.35). Conclusion. Gender differences in health behaviors should be considered in designing and monitoring lifestyle interventions to prevent cardiovascular diseases.

Exercise and Lifestyle Therapy Improves Weight Maintenance in Young People With Psychosis: A Service Evaluation

INTRODUCTION Young people with psychosis typically have higher rates of premature cardiovascular disease and metabolic disorders compared to non-psychotic peers. This has been primarily due to a sedentary lifestyle, poor diet composition, misuse of harmful substances and higher rates of obesity and smoking. When prescribed obesogenic antipsychotic medication, a weight gain of >12 kg within 2 years is typical. PURPOSE: To examine the benefits of a 12 wk exercise and lifestyle intervention entitled ‘Supporting Health and Promoting Exercise’ (SHAPE) for young people recently diagnosed with psychosis. METHODS Participants (n=26; 8 females; mean age 27.7 ± 5.1) engaged in weekly 45’ education sessions on healthy lifestyle behaviors, including: managing anxiety and depression, mindfulness and relaxation training, substance misuse, smoking cessation, healthy eating and nutritional advice, dental and sexual health care. This was followed by a 45’ exercise session including activities such as circuit and resistance training, yoga, and badminton, led by qualified exercise instructors. Anthropometric data were measured at baseline, 12 wk and 12 month post-intervention. Lifestyle behaviors and clinical measurements, including resting heart rate, blood pressure, total cholesterol, triglycerides, HbA1c and prolactin, were assessed at baseline and 12 months post-intervention as part of their routine clinical care plan. Significant differences over time were assessed using Paired Sample t-tests. RESULTS SHAPE participants (n=26) presented with first episode psychosis (n=11), schizophrenia (n=11), bipolar disorder (n=2), at risk mental state (n=1), and persistent delusion disorder (n=1) of which 52% were prescribed highly obesogenic antipsychotic medications (Clozapine and Olanzepine). Mean baseline data suggests participants were at an increased health risk due to elevated values in mean BMI (70% were overweight or obese), waist circumference, resting heart rate, and triglycerides (see Table 1 & 2). Over 50% reported smoking daily and 85% had elevated resting blood pressure (>120/80 mm Hg). At 12 wk post-intervention, no changes were observed in mean BMI or waist circumference (see Table 1); 19 participants either maintained (mean 0.5 kg: range ± 2 kg) or decreased (mean -5.7 kg: range 2-7 kg) weight; 7 participants increased weight (mean 4.9 kg: range 2.0-9.6 kg). At 12 month post-intervention (n=16), no change was evident in mean BMI, waist circumference, or any other clinical variable (see Table 2). Positive impacts on lifestyle behaviors included 7 participants eating ~400g of fruit/vegetables daily, 2 ceased substance use, 2 ceased alcohol use, 4 ceased smoking and 5 were less sedentary. CONCLUSION At the start of the programme, participants were already at an increased risk for cardiometabolic disorders. Findings suggest that SHAPE supported young people with psychosis to: -attenuate their physical health risk following a 12 wk exercise and lifestyle intervention which were sustained at 12 months follow up. -make positive lifestyle behavior changes leading to sustained improvements in weight maintenance and physical health.

Personality and the healthy lifestyle as predictors of physical health: Can the healthy lifestyle be explained by personality?

In health and epidemiological research, the Healthy Lifestyle (HLS) is often invoked as an explanation for inconsistent effects. Modifiable components of the HLS are advocated as a panacea for the most common threats to public health. Biases resulting from the HLS are theorized to result from covariance among its components. This covariance has not yet been formally modeled. Furthermore, no mechanism has been proposed to explain this covariance among these factors. Using three large nationally representative samples, I evaluated the HLS as a latent variable. Using structural equation modeling (SEM) I evaluated the degree to which the shared variance of HLS components is accounted for by personality traits, and tested the HLS as a mediator of the personality health relationship. Across all three samples, the HLS fits well as a latent variable, is partially accounted for by personality traits, and mediates the effects of personality traits on health. In all cases personality traits have direct effects on health independent of the HLS. These results suggest that the utility of personality traits as predictors of health exceeds that provided by commonly used lifestyle predictors.

Addressing healthy lifestyle behaviours amongst young people in out-of-home care

The aim of this thesis was to develop a program of research that evaluated enablers, barriers and pathways for establishing healthy lifestyle behaviours among young people living in residential out-of-home care. This included development of the Healthy Eating, Active Living (HEAL) intervention, and was the first program, nationally and internationally to evaluate a healthy lifestyle intervention in this setting.

Text message and internet support for coronary heart disease self-management: results from the text4heart randomized controlled trial

BACKGROUND: Mobile technology has the potential to deliver behavior change interventions (mHealth) to reduce coronary heart disease (CHD) at modest cost. Previous studies have focused on single behaviors; however, cardiac rehabilitation (CR), a component of CHD self-management, needs to address multiple risk factors. OBJECTIVE: The aim was to investigate the effectiveness of a mHealth-delivered comprehensive CR program (Text4Heart) to improve adherence to recommended lifestyle behaviors (smoking cessation, physical activity, healthy diet, and nonharmful alcohol use) in addition to usual care (traditional CR). METHODS: A 2-arm, parallel, randomized controlled trial was conducted in New Zealand adults diagnosed with CHD. Participants were recruited in-hospital and were encouraged to attend center-based CR (usual care control). In addition, the intervention group received a personalized 24-week mHealth program, framed in social cognitive theory, sent by fully automated daily short message service (SMS) text messages and a supporting website. The primary outcome was adherence to healthy lifestyle behaviors measured using a self-reported composite health behavior score (≥3) at 3 and 6 months. Secondary outcomes included clinical outcomes, medication adherence score, self-efficacy, illness perceptions, and anxiety and/or depression at 6 months. Baseline and 6-month follow-up assessments (unblinded) were conducted in person. RESULTS: Eligible patients (N=123) recruited from 2 large metropolitan hospitals were randomized to the intervention (n=61) or the control (n=62) group. Participants were predominantly male (100/123, 81.3%), New Zealand European (73/123, 59.3%), with a mean age of 59.5 (SD 11.1) years. A significant treatment effect in favor of the intervention was observed for the primary outcome at 3 months (AOR 2.55, 95% CI 1.12-5.84; P=.03), but not at 6 months (AOR 1.93, 95% CI 0.83-4.53; P=.13). The intervention group reported significantly greater medication adherence score (mean difference: 0.58, 95% CI 0.19-0.97; P=.004). The majority of intervention participants reported reading all their text messages (52/61, 85%). The number of visits to the website per person ranged from zero to 100 (median 3) over the 6-month intervention period. CONCLUSIONS: A mHealth CR intervention plus usual care showed a positive effect on adherence to multiple lifestyle behavior changes at 3 months in New Zealand adults with CHD compared to usual care alone. The effect was not sustained to the end of the 6-month intervention. A larger study is needed to determine the size of the effect in the longer term and whether the change in behavior reduces adverse cardiovascular events. TRIAL REGISTRATION: ACTRN 12613000901707; https://www.anzctr.org.au/Trial/Registration/TrialReview.aspx?id=364758&isReview=true (Archived by WebCite at http://www.webcitation.org/6c4qhcHKt).

Validez de contenido de un cuestionario para evaluar las etapas del cambio de comportamiento en estilos de vida en escolares, Colombia: Estudio FUPRECOL

Estudio de validación en escolares pertenecientes a instituciones educativas oficiales de la ciudad de Bogotá, Colombia. Se diseñó y aplicó el CCC-FUPRECOL que indagó por las etapas de cambio para la actividad física/ejercicio, consumo de frutas, verduras, drogas, tabaco e ingesta de bebidas alcohólicas, de manera auto-diligenciada por formulario estructurado.

A simple lifestyle score predicts survival in healthy elderly men

Background. Although improvements in life expectancy have been attributed in part to the adoption or a more prudent lifestyle, few studies have examined the association of lifestyle with survival, using several lifestyle factors simultaneously, in a healthy elderly population. Methods. We investigated the association of health related behaviors with mortality in 7989 men aged 65 to 83 years participating in a population-based trial in Perth, Western Australia, by calculating a lifestyle score as a simple tally of flow many or eight prudent behaviors each individual followed. Results. Invitations to screening produced a corrected response of 70.5%. Out of a possible score of 8.46% of men had a score of less than 5. Within 5 years, a total of 703 men (9%) had died from any cause. The hazard ratio in men with a low lifestyle score was 1.3 [95% confidence interval (CI): 1.1-1.5] compared with men with a score of 5 or more. Conclusions. Lifestyle remains an important predictor of mortality even in old age. Survival in older men without a history of cardiovascular disease can potentially be enhanced by promoting a healthy lifestyle. © 2004 Elsevier Inc, All rights reserved.

Screen media, parenting practices, and the family environment in Australia: a longitudinal study of young children’s media use, lifestyles, and outcomes for healthy weight

Few studies of media use and adiposity explore the influence of parenting on children’s lifestyle behaviors. Screen media access, bedroom television, lack of physical activity, and snacking on energy-dense foods have long been implicated in child overweight. This research used data from the first three waves of the Longitudinal Study of Australian Children to investigate, prospectively, the associations between parental practices in early to middle childhood and children’s behaviors and weight in late childhood. A path model was used to investigate whether consistent parentingpredicted setting of boundaries for access to and use of media, and was indirectly associated with children’s lifestyle behaviors that increase the likelihood of healthy weight maintenance. The findings demonstrated that children’s lifestyles pertinent to weight maintenance and media use cluster together and involve both old and newer screen media, but are also predicted by parenting practices and the family environment.

Lifestyle still predicts mortality in older men with established vascular disease

Background. It is uncertain whether accepted associations between health behaviors and mortality are pertinent to elderly people. No previous studies have examined the patterns of lifestyle in elderly men with and without clinically evident vascular disease by using a lifestyle score to predict survival. Methods. We measured prevalence of a healthy lifestyle (four or more healthy behaviors out of eight) and examined survival in 11,745 men aged 65-83 years participating in a randomized population-based trial of screening for abdominal aortic aneurysm in Perth, Western Australia. After stratifying participants into five groups according to history and symptoms of vascular disease, we compared survival of men in each subgroup with that of 'healthy' men with no history or symptoms of vascular disease. Results. Invitations to screening produced a corrected response of 70.5%. After adjusting for age and place of birth, having an unhealthy lifestyle was associated with an increase of 20% in the likelihood of death from any cause within 5 years (95% CI: 10-30%). This pattern was consistently evident across subgroups defined by history of vascular disease, but was less evident for deaths from vascular disease. Conclusions. Our results highlight the importance of maintaining a healthy lifestyle through to old age, regardless of history of vascular disease. (c) 2005 Elsevier Inc. All rights reserved.

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.

Maternal feeding practices and feeding behaviors of Australian children aged 12 to 36 months

Objectives To explore parents' perceptions of the eating behaviors and related feeding practices of their young children. Methods Mothers (N=740) of children aged 12 to 36 months and born in South Australia were randomly selected by birth date in four 6-month age bands from a centralized statewide database and invited to complete a postal questionnaire. Results Valid completed questionnaires were returned for 374 children (51% response rate; 54% female). Although mothers generally reported being confident and happy in feeding their children, 23% often worried that they gave their child the right amount of food. Based on a checklist of 36 specified items, 15% of children consumed no vegetables in the previous 24 hours, 11% no fruit and for a further 8% juice was the only fruit. Of 12 specified high fat/sugar foods and drinks, 11% of children consumed none, 20% one, 26% two, and 43% three or more. Six of eight child-feeding practices that promote healthy eating behaviors were undertaken by 75% parents 'often' or 'all of the time'. However, 8 of 11 practices that do not promote healthy eating were undertaken by a third of mothers at least ‘sometimes’. Conclusions In this representative sample, dietary quality issues emerge early and inappropriate feeding practices are prevalent thus identifying the need for very early interventions that promote healthy food preferences and positive feeding practices. Such programs should focus not just on the 'what', but also the 'how' of early feeding, including the feeding relationship and processes appropriate to developmental stage. Key words: Maternal feeding practices, infants, obesity