Posts Tagged ‘Health’

Southwest J Pulm Crit Care. 2011 Dec 8; 3: 159-168
Brown MA, Goodwin JL, Silva GE, Behari A, Newman AB, Punjabi NM, Resnick HE, Robbins JA, Quan SF

INTRODUCTION: It is well known that obesity is a risk factor for sleep-disordered breathing (SDB). However, whether SDB predicts increase in BMI is not well defined. Data from the Sleep Heart Health Study (SHHS) were analyzed to determine whether SDB predicts longitudinal increase in BMI, adjusted for confounding factors. METHODS: A full-montage unattended home polysomnogram (PSG) and body anthropometric measurements were obtained approximately five years apart in 3001 participants. Apnea-hypopnea index (AHI) was categorized using clinical thresholds: < 5 (normal), ≥ 5 to <15 (mild sleep apnea), and ≥ 15 (moderate to severe sleep apnea). Linear regression was used to examine the association between the three AHI groups and increased BMI. The model included age, gender, race, baseline BMI, and change in AHI as covariates. RESULTS: Mean (SD) age was 62.2 years (10.14), 55.2% were female and 76.1% were Caucasian. Five-year increase in BMI was modest with a mean (SD) change of 0.53 (2.62) kg/m(2) (p=0.071). A multivariate regression model showed that subjects with a baseline AHI between 5-15 had a mean increase in BMI of 0.22 kg/m(2) (p=0.055) and those with baseline AHI ≥ 15 had a BMI increase of 0.51 kg/m(2) (p<0.001) compared to those with baseline AHI of <5. CONCLUSION: Our findings suggest that there is a positive association between severity of SDB and subsequent increased BMI over approximately 5 years. This observation may help explain why persons with SDB have difficulty losing weight.
HubMed – body

Int J Gen Med. 2012; 5: 53-7
Kosteva AR, Salata BM, Krishnan SM, Howe M, Weber A, Rubenfire M, Jackson EA

Physicians’ personal health habits are associated with their counseling habits regarding physical activity. We sought to examine physicians’ own barriers to a healthy lifestyle by level of training and gender.Physicians at a major teaching hospital were surveyed regarding their lifestyle habits and barriers to healthy habits. The frequency of reported barriers was examined by years in practice (trainees vs staff physicians) and gender.183 total responses were received. Over 20% of respondents were overweight. Work schedule was cited as the greatest barrier to regular exercise in 70.5% of respondents. Trainees were more likely to cite time constraints or cost as a barrier to a healthy diet compared to staff physicians. Staff physicians were more likely to report the time to prepare healthy foods as a barrier. For both trainees and staff physicians, time was a barrier to regular exercise. For trainees work schedule was a barrier, while both work schedule and family commitments were top barriers cited by staff physicians. Women were more likely to report family commitments as a barrier than men. Respondents suggested healthier options in vending machines and the hospital cafeteria, healthy recipes, and time and/or facilities for exercise at work as options to help overcome these barriers.Work schedules and family commitments are frequently reported by providers as barriers to healthy lifestyle. Efforts to reduce such barriers may lead to improved health habits among providers.
HubMed – diets

Obesity (Silver Spring). 2012 Jan 26;
Lawman HG, Wilson DK

Disparities in the prevalence of obesity in youth place minority and low socioeconomic status youth at increased risk for the development of chronic disease, such as metabolic syndrome and type 2 diabetes. Contributing factors to the increases in obesity include a decline in positive health behaviors, such as making healthy dietary choices, engaging in physical activity, and limiting sedentary behaviors. Family and physical environmental contextual factors related to health behaviors are increasingly the focus of health behavior interventions in line with the bioecological model that encourages a system-focused perspective on understanding health behavior influences. Physical environmental characteristics, such as home and neighborhood characteristics and resources, provide the tangible means to support health behaviors and are important contextual variables to consider that may increase intervention effectiveness. Therefore, the current review seeks to highlight the importance of investigating influences of behavior beyond individual characteristics in understanding factors related to the risk of developing metabolic syndrome and type 2 diabetes in youth at high risk for developing chronic disease. The current study reviews the non-intervention literature on family and physical environmental factors related to health behaviors (i.e., diet, physical activity, and sedentary behavior) in youth who are considered to be at-risk for developing metabolic syndrome and type 2 diabetes. Results on 38 published articles of diet, physical activity, and sedentary behaviors showed support for the role of parenting and physical environmental factors, particularly parental monitoring and neighborhood context, such as social cohesion, as they relate to health behaviors in high-risk youth. Implications and recommendations for future research are discussed.
HubMed – diets

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