980 resultados para Lifestyle intervention


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Background
Worldwide, type 2 diabetes (T2DM) prevalence has more than doubled over two decades. In Australia, diabetes is the second highest contributor to the burden of disease. Lifestyle modification programs comprising diet changes, weight loss and moderate physical activity, have been proven to reduce the incidence of T2DM in high risk individuals.

As part of the Council of Australia Governments, the State of Victoria committed to develop and support the diabetes prevention program ‘Life! Taking action on diabetes’ (Life!) which has direct lineage from effective clinical and implementation trials from Finland and Australia. The Melbourne Diabetes Prevention Study (MDPS) has been set up to evaluate the effectiveness and cost-effectiveness of a specific version of the Life! program.

Methods/design
We intend to recruit 796 participants for this open randomized clinical trial; 398 will be allocated to the intervention arm and 398 to the usual care arm. Several methods of recruitment will be used in order to maximize the number of participants. Individuals aged 50 to 75 years will be screened with a risk tool (AUSDRISK) to detect those at high risk of developing T2DM. Those with existing diabetes will be excluded. Intervention participants will undergo anthropometric and laboratory tests, and comprehensive surveys at baseline, following the fourth group session (approximately three months after the commencement of the intervention) and 12 months after commencement of the intervention, while control participants will undergo testing at baseline and 12 months only.

The intervention consists of an initial individual session followed by a series of five structured-group sessions. The first four group sessions will be carried out at two week intervals and the fifth session will occur eight months after the first group session. The intervention is based on the Health Action Process Approach (HAPA) model and sessions will empower and enable the participants to follow the five goals of the Life! program.

Discussion

This study will determine whether the effect of this intervention is larger than the effect of usual care in reducing central obesity and cardiovascular risk factors and thus the risk of developing diabetes and cardiovascular disease. Also it will evaluate how these two options compare economically.

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Letter to the editor: Harris and colleagues report failure to obtain reduction in several important risk factor-based intermediate outcomes for vascular disease from their lifestyle intervention in the Health Improvement and Prevention Study (HIPS).1 Using intention-to-treat analysis, if only 117 of 384 participants completed at least two of six group sessions, a positive result could not be expected. We know that interventions for prevention of cardiovascular disease (CVD) and diabetes can be run successfully in Australian primary care, which raises questions about the design of Harris et al’s intervention.

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Objective
The Australian lifestyle intervention program Life! is only the second reported, large-scale diabetes prevention program. This paper describes the genesis and the successful establishment of Life! and its key outcomes for participants and implementation.

Research
Design and Methods Life!, a behavior change intervention, comprises six group sessions over eight months. The Victorian Department of Health funded Diabetes Australia-Victoria to implement the program. Experience of the Greater Green Triangle diabetes prevention implementation trial was used for intervention design, workforce development, training and infrastructure. Clinical and anthropometric data from participants, used for program evaluation, was recorded on a central database.

Results
Life! has a state-wide workforce of 302 trained facilitators within 137 organizations. 29,000 Victorians showed interest in Life! and 15,000 individuals have been referred to the program. In total, 8,412 participants commenced a Life! program between October 2007 and June 2011. 37% of the original participants completed the eight month program. Participants completing sessions one to five lost an average of 1·4 kg weight (p<0·001) and waist circumference of 2·5cm (p<0.001). Those completing six sessions lost an average of 2·4 kg weight (p<0·001) and waist circumference of 3·8 cm (p<0·001). The weight loss of 2.4 kg represents 2.7% of participants’ starting body weight.

Conclusion
The impact of Life! is attributable to applying available evidence for the systems design of the intervention, and collaboration between policy makers, implementers and evaluators using the principles of continuous quality improvement to support successful, large scale recruitment and implementation.

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Post-partum weight loss is critical to preventing and managing obesity in women, but the results from lifestyle interventions are variable and the components associated with successful outcomes are not yet clearly identified. This study aimed to identify lifestyle intervention strategies associated with weight loss in post-partum women. MEDLINE, EMBASE, PubMed, CINAHL and four other databases were searched for lifestyle intervention studies (diet or exercise or both) in post-partum women (within 12 months of delivery) published up to July 2014. The primary outcome was weight loss. Subgroup analyses were conducted for self-monitoring, individual or group setting, intervention duration, intervention types, the use of technology as a support, and home- or centre-based interventions. From 12,673 studies, 46 studies were included in systematic review and 32 randomized controlled trials were eligible for meta-analysis (1,892 women, age 24-36 years). Studies with self-monitoring had significantly greater weight lost than those without (-4.61 kg [-7.08, -2.15] vs. -1.34 kg [-1.66, -1.02], P = 0.01 for subgroup differences). Diet and physical activity when combined were significantly more effective on weight loss compared with physical activity alone (-3.24 kg [-4.59, -1.90] vs. -1.63 kg [-2.16, -1.10], P < 0.001 for subgroup differences). Lifestyle interventions that use self-monitoring and take a combined diet-and-exercise approach have significantly greater weight loss in post-partum women.

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Background Evaluation for obesity management in primary care is limited, and successful outcomes are from intensive clinical trials in hospital settings.

Aim To determine to what extent measures of success seen in intensive clinical trials can be achieved in routine primary care. Primary outcome measures were weight change and percentage of patients achieving ≤5% loss at 12 and 24 months.

Design of study Prospective evaluation of a new continuous improvement model for weight management in primary care.

Setting Primary care, UK.

Method Primary care practice nurses from 65 UK general practices delivered interventions to 1906 patients with body mass index (BMI) ≥30 kg/m2 or ≥28 kg/m2 with obesity-related comorbidities.

Results Mean baseline weight was 101.2 kg (BMI 37.1 kg/m2); 25% of patients had BMI ≥40 kg/m2 and 74% had ≥1 major obesity-related comorbidity. At final data capture 1419 patients were in the programme for ≥12 months, and 825 for ≥24 months. Mean weight change in those who attended and had data at 12 months (n = 642) was −3.0 kg (95% CI = −3.5 to −2.4 kg) and at 24 months (n = 357) was −2.3 kg (95% CI = −3.2 to −1.4 kg). Among attenders at specific time-points, 30.7% had maintained weight loss of ≥5% at 12 months, and 31.9% at 24 months. A total of 761 (54%) of all 1419 patients who had been enrolled in the programme for >12 months provided data at or beyond 12 months.

Conclusion This intervention achieves and maintains clinically valuable weight loss within routine primary care.

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Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)

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Diagnosis and therapy of male hypogonadism is still a challenge because of the unspecific clinical signs and symptoms. The clinical presentation of a androgen deficiency is age-related. In the adult men, one can often observe fatigue, decrease in physical capacity, loss of libido and erectile dysfunction. At the physical examination, genitalia have always to be assessed in search of a testes/penis atrophy. Two fasting measurements of total testosterone concentrations by a reliable assay are needed to confirm the diagnosis. By assessing gonadotropines the origin of hypogonadism can be determined (central/secondary or peripheral/primary). Exogenous administration of androgens should be considered in young, sportive, healthy and muscular males. Patients with metabolic syndrome should only be screened for hypogonadism in the presence of suggestive symptoms. Prostate disease, hematocrit higher than 50 %, uncontrolled heart failure and severe obstructive sleep apnea are contraindications of a testosterone replacement therapy. Patients with metabolic-syndrome-associated low testosterone levels should firstly benefit from a lifestyle intervention that can normalize clinical and biochemical hypogonadism. So far, there is no clear evidence for a possible benefit of testosterone therapy in patients with the metabolic syndrome. Similarly, in patients with PADAM (partial androgen deficiency of the aging male) testosterone therapy is not established or recommended.

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Background: Indigenous Australians are at high risk for cardiovascular disease and type 2 diabetes. Carotid artery intimal medial thickness (CIMT) and brachial artery flow-mediated vasodilation (FMD) are ultrasound imaging based surrogate markers of cardiovascular risk. This study examines the relative contributions of traditional cardiovascular risk factors on CIMT and FMD in adult Indigenous Australians with and without type 2 diabetes mellitus. Method: One hundred and nineteen Indigenous Australians were recruited. Physical and biochemical markers of cardiovascular risk, together with CIMT and FMD were meausred for all subjects. Results: Fifty-three Indigenous Australians subjects (45%) had type 2 diabetes mellitus. There was a significantly greater mean CIMT in diabetic versus non-diabetic subjects (p = 0.049). In the non-diabetic group with non-parametric analyses, there were significant correlations between CIMT and: age (r = 0.64, p < 0.001), systolic blood pressure (r = 0.47, p < 0.001) and non-smokers (r = -0.30, p = 0.018). In the diabetic group, non-parametric analysis showed correlations between CIMT, age (r = 0.36, p = 0.009) and duration of diabetes (r = 0.30, p = 0.035) only. Adjusting forage, sex, smoking and history of cardiovascular disease, Hb(A1c) became the sole significant correlate of CIMT (r = 0.35,p = 0.01) in the diabetic group. In non-parametric analysis, age was the sole significant correlate of FMD (r = -0.31,p = 0.013), and only in non-diabetic subjects. Linear regression analysis showed significant associations between CIMT and age (t = 4.6,p < 0.001), systolic blood pressure (t = 2.6, p = 0.010) and Hb(A1c) (t = 2.6, p = 0.012), smoking (t = 2.1, p = 0.04) and fasting LDL-cholesterol (t = 2.1, p = 0.04). There were no significant associations between FMD and examined cardiovascular risk factors with linear regression analysis Conclusions: CIMT appears to be a useful surrogate marker of cardiovascular risk in this sample of Indigenous Australian subjects, correlating better than FMD with established cardiovascular risk factors. A lifestyle intervention programme may alleviate the burden of cardiovascular disease in Indigenous Australians by reducing central obesity, lowering blood pressure, correcting dyslipidaemia and improving glycaemic control. CIMT may prove to be a useful tool to assess efficacy of such an intervention programme. (c) 2004 Elsevier Ireland Ltd. All rights reserved.

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Background: The management of childhood obesity is challenging. Aims: Thesis, i) reviews the evidence for lifestyle treatment of obesity, ii) explores cardiometabolic burden in childhood obesity, iii) explores whether changes in body composition predicts change in insulin sensitivity (IS), iv) develops and evaluates a lifestyle obesity intervention; v) develops a mobile health application for obesity treatment and vi) tests the application in a clinical trial. Methods: In Study 1, systematic reviews and meta-analyses of the 12‐month effects of lifestyle and mHealth interventions were conducted. In Study 2, the prevalence of cardiometabolic burden was estimated in a consecutive series of 267 children. In Study 3, body composition was estimated with bioelectrical impedance analysis (BIA) and dual x-ray absorptiometry (DXA) and linear regression analyses were used to estimate the extent to which each methods predicted change in IS. Study 4 describes the development of the Temple Street W82GO Healthy Lifestyle intervention for clinical obesity in children and a controlled study of treatment effect in 276 children is reported. Study 5 describes the development and testing of the Reactivate Mobile Obesity Application. Study 6 outlines the development and preliminary report from a clinical effectiveness trial of Reactivate. Results: In Study 1, meta--‐analyses BMI SDS changed by -0.16 (-0.24,‐0.07, p<0.01) and -0.03 (-0.13, 0.06, p=0.48). In study 2, cardiometabolic comorbidities were common (e.g. hypertension in 49%) and prevalence increased as obesity level increased. In Study 3, BC changes significantly predicted changes in IS. In Study 4, BMI SDS was significantly reduced in W82GO compared to controls (p<0.001). In Study 5, the Reactivate application had good usability indices and preliminary 6‐month process report data from Study 6, revealed a promising effect for Reactivate. Conclusions: W82GO and Reactivate are promising forms of treatment.

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Objective: To evaluate the impact of a lifestyle intervention in Australian general practice to reduce the risk of vascular disease.

Design, setting and participants: Stratified cluster randomised controlled trial among 30 general practices in New South Wales from July 2008 to January 2010. Patients aged 40–64 years were invited to participate. The subgroup who were 40–55 years of age were included only if they had either hypertension or dyslipidaemia.

Intervention: A general practice-based health-check with brief lifestyle counselling and referral of high-risk patients to a program consisting of one to two individual visits with an exercise physiologist or dietitian, and six group sessions.

Main outcome measures: Outcomes at baseline, 6 and 12 months included the behavioural and physiological risk factors for vascular disease — self-reported diet and physical activity, and measured weight, body mass index, waist circumference, blood lipid and blood sugar levels, and blood pressure.

Results: Of the 3128 patients who were invited, 958 patients (30.6%) responded and 814 were eligible to participate. Of these, 699 commenced the study, and 655 remained in the study at 12 months. Physical activity levels increased to a greater extent in the intervention group than the control group at 6 and 12 months (P = 0.005). There were no other changes in behavioural or physiological outcomes or in estimated absolute risk of cardiovascular disease at 12 months. Of the 384 enrolled in the intervention group, 117 patients (30.5%) attended the minimum number of group program sessions and lost more weight (mean weight loss, 1.06 kg) than those who did not attend the minimum number of sessions (mean weight gain, 0.73 kg).

Conclusion: While patients who received counselling by their general practitioner increased self-reported physical activity, only those who attended the group sessions sustained an improvement in weight. However, more research is needed to determine whether group programs offer significant benefits over individual counselling in general practice.

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BACKGROUND: Bariatric surgery prevents and induces remission of type 2 diabetes in many patients. The effect of preoperative glucose status on long-term health-care costs is unknown. We aimed to assess health-care costs over 15 years for patients with obesity treated conventionally or with bariatric surgery and who had either euglycaemia, prediabetes, or type 2 diabetes before intervention. METHODS: The Swedish Obese Subjects (SOS) study is a prospective study of adults who had bariatric surgery and contemporaneously matched controls who were treated conventionally (age 37-60 years; BMI of ≥34 in men and ≥38 in women) recruited from 25 Swedish surgical departments and 480 primary health-care centres. Exclusion criteria were identical for both study groups, and were previous gastric or bariatric surgery, recent malignancy or myocardial infarction, selected psychiatric disorders, and other contraindicating disorders to bariatric surgery. Conventional treatment ranged from no treatment to lifestyle intervention and behaviour modification. In this study, we retrieved prescription drug costs for the patients in the SOS study via questionnaires and the nationwide Swedish Prescribed Drug Register. We retrieved data for inpatient and outpatient visits from the Swedish National Patient Register. We followed up the sample linked to register data for up to 15 years. We adjusted mean differences for baseline characteristics. Analyses were by intention to treat. The SOS study is registered with ClinicalTrials.gov, number NCT01479452. FINDINGS: Between Sept 1, 1987, and Jan 31, 2001, 2010 adults who had bariatric surgery and 2037 who were treated conventionally were enrolled into the SOS study. In this study, we followed up 4030 patients (2836 who were euglycaemic; 591 who had prediabetes; 603 who had diabetes). Drug costs did not differ between the surgery and conventional treatment groups in the euglycaemic subgroup (surgery US$10,511 vs conventional treatment $10,680; adjusted mean difference -$225 [95% CI -2080 to 1631]; p=0·812), but were lower in the surgery group in the prediabetes ($10,194 vs $13,186; -$3329 [-5722 to -937]; p=0·007) and diabetes ($14,346 vs $19,511; -$5487 [-7925 to -3049]; p<0·0001) subgroups than in the conventional treatment group. Compared with the conventional treatment group, we noted greater inpatient costs in the surgery group for the euglycaemic ($51,225 vs $25,313; $22,931 [19,001-26,861]; p<0·0001), prediabetes ($58,699 vs $32,861; $27,152 [18,736-35,568]; p<0·0001), and diabetes ($61,569 vs $47,569; 18,697 [9992-27,402]; p<0·0001) subgroups. We noted no differences in outpatient costs. Total health-care costs were higher in the surgery group in the euglycaemic ($71,059 vs $45,542; $22,390 [17,358-27,423]; p<0·0001) and prediabetes ($78,151 vs $54,864; $26,292 [16,738-35,845]; p<0·0001) subgroups than in the conventional treatment group, whereas we detected no difference between treatment groups in patients with diabetes ($88,572 vs $79,967; $9081 [-1419 to 19,581]; p=0·090). INTERPRETATION: Total health-care costs were higher for patients with euglycaemia or prediabetes in the surgery group than in the conventional treatment group, but we detected no difference between the surgery and conventional treatment groups for patients with diabetes. Long-term health-care cost results support prioritisation of patients with obesity and type 2 diabetes for bariatric surgery. FUNDING: AFA Försäkring and Swedish Scientific Research Council.

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Los estudios acerca del concepto actividad física (AF) son diversos, presentando diferentes concepciones; su relación con calidad de vida suele estar generada dentro del discurso médico, que propende por la ejecución de la Actividad Física desde una mirada netamente biológica. Si bien esta disertación es importante, se debe tener en cuenta que los estudios relacionados con calidad de vida y la AF se basan en la condición de bienestar y percepción frente al estado de salud; dichos estudios no se han realizado desde las condiciones de vida y del contexto social. Si bien es cierto que la mirada médica y lo estudios objetivos son relevantes, ya que arrojan estadísticas que permiten abordar recomendaciones en cuanto a la actividad física, en este documento se elaboró una investigación de tipo cualitativo por medio de la revisión documental del concepto de actividad física, sus prácticas y su relación con calidad de vida, que abordan diferentes autores. Para ello se elige la base de datos PubMed por su énfasis en las publicaciones de salud; se seleccionan artículos publicados del 2004 y 2014, que estudien el concepto de actividad física, sus prácticas y relaciones con calidad de vida, para finalmente hacer un análisis desde los modelos de determinación y determinantes sociales. De esta forma se analiza la posición de los autores con respecto al concepto, sus prácticas y las relaciones que puede llegar a surgir con la calidad de vida. En esta investigación se obtuvo como resultados tendencias biológicas, psicológicas, sociales y culturales, en los cuales los autores dejan clara la posición médica ya que en la mayoría de investigaciones centran sus relaciones en la funcionalidad, y es a través de la visión terapéutica donde buscan el bienestar, la satisfacción de los pacientes que padecen cualquier enfermedad. Además, aparecen categorías emergentes como: cuerpo como medio de publicidad, cibernética que avanza vertiginosamente y el papel del poder en la actividad física que pueden ser contempladas para otros estudios.

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Objetivo: Este estudio describe los percentiles de la prueba de carrera de ida y vuelta 4 x 10 m en escolares de 9 a 17 años, de Bogotá, Colombia, pertenecientes al estudio Asociación de la fuerza prensil con manifestaciones tempranas de riesgo cardiovascular en niños colombianos. “FUPRECOL” Métodos: Estudio descriptivo transversal, en 2502 varones (42.7%) y 3349 mujeres (57,2%), de edades entre 9 y 17 años, pertenecientes a 24 instituciones educativas del sector oficial, en Bogotá, Colombia. La velocidad/agilidad se evaluó con la prueba de carrera de ida y vuelta 4 x 10 m (componente motor de la batería Fuprecol). Se calcularon los percentiles (P3, P10, P25, P50, P75, P90 y P97) y curvas centiles por el método LMS, según el sexo y la edad; y se realizó una comparación entre los valores de la velocidad-agilidad observados con estudios internacionales. Resultados: La edad promedio de los participantes fue 12,7 (DE 2,4) años. Al comparar por sexos, los varones presentan un mejor rendimiento en la prueba de carrera 4 x 10 m que las mujeres. En varones, el P50 osciló entre 11,9 segundos y 13,1 segundos, mientras que en mujeres el P50 osciló entre 14,3 segundos y 15,0 segundos. Al comparar los resultados de este estudio por grupos de edades y sexos, con trabajos internacionales, el P50 fue mayor al reportado en los trabajos de España, Portugal y el estudio HELENA realizado en 9 países europeos. Esta misma tendencia fue observada al comparar la media y la desviación estándar con escolares de Argentina, Francia y el mismo estudio HELENA. Conclusiones: Se registran percentiles de la prueba de carrera de ida y vuelta 4 x 10 m en función de las edades y el sexo. Estos valores pueden ser utilizados tanto para evaluar los niveles de aptitud de los estudiantes como para detectar a estudiantes cuyos niveles de condición física están por debajo de un mínimo saludable.

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Objetivo: analizar cómo influye la inequidad y la posición socio económica como factores determinantes de la conceptualización de la actividad física, desde la concepción de los determinantes sociales, de forma tal que su revisión conceptual, ayude a constituir la re configuración del concepto de actividad física. Métodos: Exploración de la literatura científica desde la revisión conceptual de artículos seleccionados, utilizando las categorías inequidad y posición socioeconómica para establecer la influencia del concepto de la actividad física en entornos educativos. Y a partir de ella interpretar la re configuración del concepto de la actividad física, desde diferentes concepciones asociadas a los determinantes sociales. Resultados: Se hallaron concepciones de los diferentes autores respecto al concepto de la actividad física. (Peso, raza, índice de masa corporal, edad). Se interpretaron distintos niveles de influencia desde la inequidad y la posición socio económica asociados a la ocupación, el género, sitio de vivienda, nivel de estudio, y la estructura física del entorno. Posteriormente se reportaron resultados desde un análisis explicativo en el cual se interpretan las concepciones de los autores en cuanto al concepto de la actividad física, y como desde ella se establecen relaciones entre la inequidad, la posición socioeconómica y los entornos educativos que incluyen diferentes aspectos sociales para finalmente poder establecer un concepto claro de la re configuración social del concepto de la actividad física, concluyendo que este nuevo concepto social de la actividad física no posee una definición exacta, el análisis de los aspectos sociales de ésta, involucra innumerables concepciones que la influencian y la determinan, en consecuencia el concepto de la actividad física debe ser un concepto en constante evolución y reconfiguración debido a la naturaleza cambiante del ser humano, de las dinámicas sociales y las asociaciones de la salud con los aspectos sociales que se presentan en el diario vivir. Así mismo se evidencia que el concepto de la actividad física se fundamenta en estudios que dejan de lado los aspectos sociales que influencia el concepto y en consecuencia la práctica de la actividad física, esta investigación establece un punto de partida frente a la re configuración social del concepto de la actividad física. Conclusiones: Diferentes organizaciones en el mundo reconocen a la actividad física como una herramienta que favorece la socialización de las personas. Es así como la actividad física, desde el deporte en el campo competitivo y la educación física desde el campo educativo exploran la interacción social de los individuos, esto permite la construcción de valores y fortalece la sana convivencia dentro de las comunidades. Esta trasformación desde el concepto de la actividad física biomédica hasta la actividad física social se evidencia en los documentos revisados, en los cuales la actividad física es estudiada desde las categorías de inequidad y posición socio económica, De ahí que en su conceptualización se involucren diferentes conceptos asociados a los determinantes sociales de la salud, que en definitiva establecen un nuevo concepto de la re configuración social de la actividad física trascendiendo desde la actividad física biomédica o fisiológica hasta un concepto complejo que incluye intereses y particularidades de las personas como lo son la ocupación, la educación, el entorno, el medio ambiente y la estructura física.

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We evaluated sustainability of an intervention to reduce women’s cardiovascular risk factors, determined the influence of self-efficacy, and described women’s current health. We used a mixed method approach that utilized forced choice and open-ended questionnaire items about health status, habits, and self-efficacy. Sixty women, average age 61, returned questionnaires. Women in the original intervention group continued health behaviors intended to reduce cardiovascular disease (CVD) at a higher rate than the control group, supporting the feasibility of a targeted intervention built around women’s individual goals. The role of self-efficacy in behavior change is unclear. The original intervention group reported higher self-reported health.