382 research outputs found

    Physical activity counseling in overweight and obese primary care patients: Outcomes of the VA-STRIDE randomized controlled trial.

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    The purpose of this 2-arm randomized clinical trial was to evaluate the effectiveness of a 12-month, expert system-based, print-delivered physical activity intervention in a primary care Veteran population in Pittsburgh, Pennsylvania. Participants were not excluded for many health conditions that typically are exclusionary criteria in physical activity trials. The primary outcome measures were physical activity reported using the Community Healthy Activities Model Program for Seniors (CHAMPS) questionnaire and an accelerometer-based activity assessment at baseline, 6, and 12 months. Of the 232 Veterans enrolled in the study, 208 (89.7%) were retained at the 6-month follow-up and 203 (87.5%) were retained at 12 months. Compared to the attention control, intervention participants had significantly increased odds of meeting the U.S. recommended guideline of ≥ 150 min/week of at least moderate-intensity physical activity at 12 months for the modified CHAMPS (odds ratio [OR] = 2.86; 95% CI: 1.03-7.96; p = 0.04) but not at 6 months (OR = 1.54; 95% CI: 0.56-4.23; p = 0.40). Based on accelerometer data, intervention participants had significantly increased odds of meeting ≥ 150 min/week of moderate-equivalent physical activity at 6 months (OR = 6.26; 95% CI: 1.26-31.22; p = 0.03) and borderline significantly increased odds at 12 months (OR = 4.73; 95% CI: 0.98-22.76; p = 0.053). An expert system physical activity counseling intervention can increase or sustain the proportion of Veterans in primary care meeting current recommendations for moderate-intensity physical activity. Trial Registration Clinical trials.gov identifier: NCT00731094 URL: http://www.clinicaltrials.gov/ct2/show/NCT00731094

    Issues in accelerometer methodology: the role of epoch length on estimates of physical activity and relationships with health outcomes in overweight, post-menopausal women

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    <p>Abstract</p> <p>Background</p> <p>Current accelerometer technology allows for data collection using brief time sampling intervals (i.e., epochs). The study aims were to examine the role of epoch length on physical activity estimates and subsequent relationships with clinically-meaningful health outcomes in post-menopausal women.</p> <p>Methods</p> <p>Data was obtained from the Woman On the Move through Activity and Nutrition Study (n = 102). Differences in activity estimates presented as 60s and 10s epochs were evaluated using paired t-tests. Relationships with health outcomes were examined using correlational and regression analyses to evaluate differences by epoch length.</p> <p>Results</p> <p>Inactivity, moderate- and vigorous-intensity activity (MVPA) were significantly higher and light-intensity activity was significantly lower (all <it>P </it>< 0.001) when presented as 10s epochs. The correlation between inactivity and self-reported physical activity was stronger with 10s estimates (<it>P </it>< 0.03); however, the regression slopes were not significantly different. Conversely, relationships between MVPA and body weight, BMI, whole body and trunk lean and fat mass, and femoral neck bone mineral density was stronger with 60s estimates (all <it>P </it>< 0.05); however, regression slopes were similar.</p> <p>Conclusion</p> <p>These findings suggest that although the use of a shorter time sampling interval may suggestively reduce misclassification error of physical activity estimates, associations with health outcomes did not yield strikingly different results. Additional studies are needed to further our understanding of the ways in which epoch length contributes to the ascertainment of physical activity in research studies.</p> <p>Trial Registration</p> <p>Clinical Trials Identifier: NCT00023543</p

    Nightly Variation in Sleep Influences Self-efficacy for Adhering to a Healthy Lifestyle: A Prospective Study

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    Background: Self-efficacy, or the perceived capability to engage in a behavior, has been shown to play an important role in adhering to weight loss treatment. Given that adherence is extremely important for successful weight loss outcomes and that sleep and self-efficacy are modifiable factors in this relationship, we examined the association between sleep and self-efficacy for adhering to the daily plan. Investigators examined whether various dimensions of sleep were associated with self-efficacy for adhering to the daily recommended lifestyle plan among participants (N = 150) in a 12-month weight loss study. Method: This study was a secondary analysis of data from a 12-month prospective observational study that included a standard behavioral weight loss intervention. Daily assessments at the beginning of day (BOD) of self-efficacy and the previous night’s sleep were collected in real-time using ecological momentary assessment. Results: The analysis included 44,613 BOD assessments. On average, participants reported sleeping for 6.93 ± 1.28 h, reported 1.56 ± 3.54 awakenings, and gave low ratings for trouble sleeping (3.11 ± 2.58; 0: no trouble; 10: a lot of trouble) and mid-high ratings for sleep quality (6.45 ± 2.09; 0: poor; 10: excellent). Participants woke up feeling tired 41.7% of the time. Using linear mixed effects modeling, a better rating in each sleep dimension was associated with higher self-efficacy the following day (all p values <.001). Conclusion: Our findings supported the hypothesis that better sleep would be associated with higher levels of reported self-efficacy for adhering to the healthy lifestyle plan

    SMART trial: A randomized clinical trial of self-monitoring in behavioral weight management-design and baseline findings.

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    BACKGROUND: The primary form of treatment for obesity today is behavioral therapy. Self-monitoring diet and physical activity plays an important role in interventions targeting behavior and weight change. The SMART weight loss trial examined the impact of replacing the standard paper record used for self-monitoring with a personal digital assistant (PDA). This paper describes the design, methods, intervention, and baseline sample characteristics of the SMART trial. METHODS: The SMART trial used a 3-group design to determine the effects of different modes of self-monitoring on short- and long-term weight loss and on adherence to self-monitoring in a 24-month intervention. Participants were randomized to one of three conditions (1) use of a standard paper record (PR); (2) use of a PDA with dietary and physical activity software (PDA); or (3), use of a PDA with the same software plus a customized feedback program (PDA + FB). RESULTS: We screened 704 individuals and randomized 210. There were statistically but not clinically significant differences among the three cohorts in age, education, HDL cholesterol, blood glucose and systolic blood pressure. At 24 months, retention rate for the first of three cohorts was 90%. CONCLUSIONS: To the best of our knowledge, the SMART trial is the first large study to compare different methods of self-monitoring in a behavioral weight loss intervention and to compare the use of PDAs to conventional paper records. This study has the potential to reveal significant details about self-monitoring patterns and whether technology can improve adherence to this vital intervention component

    Do obese but metabolically normal women differ in intra-abdominal fat and physical activity levels from those with the expected metabolic abnormalities? A cross-sectional study

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    <p>Abstract</p> <p>Background</p> <p>Obesity remains a major public health problem, associated with a cluster of metabolic abnormalities. However, individuals exist who are very obese but have normal metabolic parameters. The aim of this study was to determine to what extent differences in metabolic health in very obese women are explained by differences in body fat distribution, insulin resistance and level of physical activity.</p> <p>Methods</p> <p>This was a cross-sectional pilot study of 39 obese women (age: 28-64 yrs, BMI: 31-67 kg/m<sup>2</sup>) recruited from community settings. Women were defined as 'metabolically normal' on the basis of blood glucose, lipids and blood pressure. Magnetic Resonance Imaging was used to determine body fat distribution. Detailed lifestyle and metabolic profiles of participants were obtained.</p> <p>Results</p> <p>Women with a healthy metabolic profile had lower intra-abdominal fat volume (geometric mean 4.78 l [95% CIs 3.99-5.73] vs 6.96 l [5.82-8.32]) and less insulin resistance (HOMA 3.41 [2.62-4.44] vs 6.67 [5.02-8.86]) than those with an abnormality. The groups did not differ in abdominal subcutaneous fat volume (19.6 l [16.9-22.7] vs 20.6 [17.6-23.9]). A higher proportion of those with a healthy compared to a less healthy metabolic profile met current physical activity guidelines (70% [95% CIs 55.8-84.2] vs 25% [11.6-38.4]). Intra-abdominal fat, insulin resistance and physical activity make independent contributions to metabolic status in very obese women, but explain only around a third of the variance.</p> <p>Conclusion</p> <p>A sub-group of women exists who are metabolically normal despite being very obese. Differences in fat distribution, insulin resistance, and physical activity level are associated with metabolic differences in these women, but account only partially for these differences. Future work should focus on strategies to identify those obese individuals most at risk of the negative metabolic consequences of obesity and on identifying other factors that contribute to metabolic status in obese individuals.</p

    Body size and shape changes and the risk of diabetes in the Diabetes Prevention Program

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    Prezentowane badanie przeprowadzono w celu sprawdzenia hipotezy, zgodnie z którą ryzyko rozwoju cukrzycy typu 2 zmniejsza się wraz z redukcją masy ciała i otyłości brzusznej. Do badania Diabetes Prevention Program (DPP) włączono osoby, u których rozpoznawano upośledzoną tolerancję glukozy, i zakwalifikowano je do grup otrzymujących placebo lub metforminę albo wprowadzono tylko modyfikację stylu życia. U uczestników badania określono wzrost, masę ciała oraz zmierzono tkankę tłuszczową na poziomie L2-L3 i L4-L5 za pomocą tomografii komputerowej na początku badania oraz po roku. Zastosowano modele proporcjonalnego ryzyka Coxa w celu oceny, zależnie od płci, wpływu zmiany tych parametrów w ciągu roku na rozwój cukrzycy w okresie dalszej obserwacji, którą prowadzono u 758 osób. Modyfikacja stylu życia doprowadziła do redukcji trzewnej tkanki tłuszczowej na poziomie L2-L3 (mężczyźni: -24,3%; kobiety: -18,2%) oraz na poziomie L4-L5 (mężczyźni: -22,4%, kobiety: -17,8%), tkanki tłuszczowej podskórnej na poziomie L2-L3 (mężczyźni: -15,7%, kobiety: -11,4%) i L4-L5 (mężczyźni: -16,7%, kobiety: -11,9%), do zmniejszenia masy ciała (mężczyźni: -8,2%, kobiety: -7,8%), wskaźnika masy ciała (mężczyźni: -8,2%, kobiety: -7,8%) oraz obwodu talii (mężczyźni: -7,5%, kobiety -6,1%). W grupie otrzymującej metforminę zaobserwowano redukcję masy ciała (-2,9%) i obniżenie wskaźnika masy ciała (-2,9%) u mężczyzn oraz zmniejszenie ilości podskórnej tkanki tłuszczowej (-3,6% na poziomie L2-L3 i -4,7% na poziomie L4-L5), masy ciała (-3,3%), wskaźnika masy ciała (-3,3%) oraz obwodu talii (-2,8%) u kobiet. Zmniejszenie ryzyka rozwoju cukrzycy poprzez zmianę stylu życia wiązało się z redukcją masy ciała, wskaźnika masy ciała oraz rozkładu tkanki tłuszczowej po skorygowaniu względem wieku oraz pochodzenia etnicznego (ustalano je na podstawie informacji uzyskanej od uczestników). Zmniejszenie ryzyka rozwoju cukrzycy poprzez zmianę stylu życia może nastąpić zarówno poprzez wpływ na całą tkankę tłuszczową, jak i brzuszną tkankę tłuszczową; wpływ metforminy wydawał się niezależny od zmian tkanki tłuszczowej.The researchers conducted this study to test the hypothesis that risk of type 2 diabetes is less following reductions in body size and central adiposity. The Diabetes Prevention Program (DPP) recruited and randomized individuals with impaired glucose tolerance to treatment with placebo, metformin, or lifestyle modification. Height, weight, waist circumference, and subcutaneous and visceral fat at L2-L3 and L4-L5 by computed tomography were measured at baseline and at 1 year. Cox proportional hazards models assessed by sex the effect of change in these variables over the 1st year of intervention upon development of diabetes over subsequent follow- up in a subset of 758 participants. Lifestyle reduced visceral fat at L2-L3 (men -24.3%, women -18.2%) and at L4-L5 (men -22.4%, women -17.8%), subcutaneous fat at L2-L3 (men -15.7%, women -11.4%) and at L4-L5 (men -16.7%, women -11.9%), weight (men &#8211;8.2%, women &#8211;7.8%), BMI (men -8.2%, women -7.8%), and waist circumference (men -7.5%, women -6.1%). Metformin reduced weight (-2.9%) and BMI (-2.9%) in men and subcutaneous fat (-3.6% at L2-L3 and -4.7% at L4-L5), weight (-3.3%), BMI (-3.3%), and waist circumference (-2.8%) in women. Decreased diabetes risk by lifestyle intervention was associated with reductions of body weight, BMI, and central body fat distribution after adjustment for age and self-reported ethnicity. Reduced diabetes risk with lifestyle intervention may have been through effects upon both overall body fat and central body fat but with metformin appeared to be independent of body fat

    Lifestyle physical activity among urban Palestinians and Israelis: a cross-sectional comparison in the Palestinian-Israeli Jerusalem risk factor study

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    <p>Abstract</p> <p>Background</p> <p>Urban Palestinians have a high incidence of coronary heart disease, and alarming prevalences of obesity (particularly among women) and diabetes. An active lifestyle can help prevent these conditions. Little is known about the physical activity (PA) behavior of Palestinians. This study aimed to determine the prevalence of insufficient PA and its socio-demographic correlates among urban Palestinians in comparison with Israelis.</p> <p>Methods</p> <p>An age-sex stratified random sample of Palestinians and Israelis aged 25-74 years living in east and west Jerusalem was drawn from the Israel National Population Registry: 970 Palestinians and 712 Israelis participated. PA in a typical week was assessed by the Multi-Ethnic Study of Atherosclerosis (MESA) questionnaire. Energy expenditure (EE), calculated in metabolic equivalents (METs), was compared between groups for moderate to vigorous-intensity physical activity (MVPA), using the Wilcoxon rank-sum test, and for domain-specific prevalence rates of meeting public health guidelines and all-domain insufficient PA. Correlates of insufficient PA were assessed by multivariable logistic modeling.</p> <p>Results</p> <p>Palestinian men had the highest median of MVPA (4740 METs-min<sub>*</sub>wk<sup>-1</sup>) compared to Israeli men (2,205 METs-min<sub>*</sub>wk<sup>-1 </sup><it>p </it>< 0.0001), or to Palestinian and Israeli women, who had similar medians (2776 METs-min<sub>*</sub>wk<sup>-1</sup>). Two thirds (65%) of the total MVPA reported by Palestinian women were derived from domestic chores compared to 36% in Israeli women and 25% among Palestinian and Israeli men. A high proportion (63%) of Palestinian men met the PA recommendations by occupation/domestic activity, compared to 39% of Palestinian women and 37% of the Israelis. No leisure time PA was reported by 42% and 39% of Palestinian and Israeli men (<it>p </it>= 0.337) and 53% and 28% of Palestinian and Israeli women (<it>p </it>< 0.0001). Palestinian women reported the lowest level of walking. Considering all domains, 26% of Palestinian women were classified as insufficiently active versus 13% of Palestinian men (<it>p </it>< 0.0001) who did not differ from the Israeli sample (14%). Middle-aged and elderly and less educated Palestinian women, and unemployed and pensioned Palestinian men were at particularly high risk of inactivity. Socio-economic indicators only partially explained the ethnic disparity.</p> <p>Conclusions</p> <p>Substantial proportions of Palestinian women, and subgroups of Palestinian men, are insufficiently active. Culturally appropriate intervention strategies are warranted, particularly for this vulnerable population.</p
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