1,181 research outputs found
Methods of quantifying change in multiple risk factor interventions
Objective: Risky behaviors such as smoking, alcohol abuse, physical inactivity, and poor diet are detrimental to health, costly, and often co-occur. Greater efforts are being targeted at changing multiple risk behaviors to more comprehensively address the health needs of individuals and populations. With increased interest in multiple risk factor interventions, the field will need ways to conceptualize the issue of overall behavior change. Method: Analyzing data from over 8000 participants in four multibehavioral interventions, we present five different methods for quantifying and reporting changes in multiple risk behaviors.
Results: The methods are: (a) the traditional approach of reporting changes in individual risk behaviors; (b) creating a combined statistical index of overall behavior change, standardizing scores across behaviors on different metrics; (c) using a behavioral index; (d) calculating an overall impact factor; and (e) using overarching outcome measures such as quality of life, related biometrics, or cost outcomes. We discuss the methods\u27 interpretations, strengths, and limitations.
Conclusion: Given the lack of consensus in the field on how to examine change in multiple risk behaviors, we recommend researchers employ and compare multiple methods in their publications. A dialogue is needed to work toward developing a consensus for optimal ways of conceptualizing and reporting changes in multibehavioral interventions
The benefits and challenges of multiple health behavior change in research and in practice
Objective: The major chronic diseases are caused by multiple risks, yet the science of multiple health behavior change (MHBC) is at an early stage, and factors that facilitate or impede scientists\u27 involvement in MHBC research are unknown. Benefits and challenges of MHBC interventions were investigated to strengthen researchers\u27 commitment and prepare them for challenges.
Method: An online anonymous survey was e-mailed to listservs of the Society of Behavioral Medicine between May 2006 and 2007. Respondents (N = 69) were 83% female; 94% held a doctoral degree; 64% were psychologists, 24% were in public health; and 83% targeted MHBC in their work.
Results: A sample majority rated 23 of the 24 benefits, but only 1 of 31 challenge items, as very to extremely important. Those engaged in MHBC rated the total benefits significantly higher than respondents focused on single behaviors, F(1,69) = 4.21, p \u3c .05, and rated the benefits significantly higher than the challenges: paired t(57) = 7.50, p \u3c .001. The two groups did not differ in ratings of challenges.
Conclusion: It appears that individuals focused solely on single behaviors do not fully appreciate the benefits that impress MHBC researchers; it is not that substantial barriers are holding them back. Benefits of MHBC interventions need emphasizing more broadly to advance this research area
Evidence for Ubiquitous Collimated Galactic-Scale Outflows along the Star-Forming Sequence at z~0.5
We present an analysis of the MgII 2796, 2803 and FeII 2586, 2600 absorption
line profiles in individual spectra of 105 galaxies at 0.3<z<1.4. The galaxies,
drawn from redshift surveys of the GOODS fields and the Extended Groth Strip,
fully sample the range in star formation rates (SFRs) occupied by the
star-forming sequence with stellar masses log M_*/M_sun > 9.5 at 0.3<z<0.7.
Using the Doppler shifts of the MgII and FeII absorption lines as tracers of
cool gas kinematics, we detect large-scale winds in 66+/-5% of the galaxies.
HST/ACS imaging and our spectral analysis indicate that the outflow detection
rate depends primarily on galaxy orientation: winds are detected in ~89% of
galaxies having inclinations (i) <30 degrees (face-on), while the wind
detection rate is only ~45% in objects having i>50 degrees (edge-on). Combined
with the comparatively weak dependence of the wind detection rate on intrinsic
galaxy properties, this suggests that biconical outflows are ubiquitous in
normal, star-forming galaxies at z~0.5. We find that the wind velocity is
correlated with host galaxy M_* at 3.4-sigma significance, while the equivalent
width of the flow is correlated with host galaxy SFR at 3.5-sigma significance,
suggesting that hosts with higher SFR may launch more material into outflows
and/or generate a larger velocity spread for the absorbing clouds. Assuming
that the gas is launched into dark matter halos with simple, isothermal density
profiles, the wind velocities measured for the bulk of the cool material
(~200-400 km/s) are sufficient to enable escape from the halo potentials only
for the lowest-M_* systems in the sample. However, the outflows typically carry
sufficient energy to reach distances of >50 kpc, and may therefore be a viable
source of cool material for the massive circumgalactic medium observed around
bright galaxies at z~0. [abridged]Comment: Submitted to ApJ. 61 pages, 25 figures, 4 tables, 4 appendices. Uses
emulateapj forma
CGM properties in VELA and NIHAO simulations; the OVI ionization mechanism: dependence on redshift, halo mass and radius
We study the components of cool and warm/hot gas in the circumgalactic medium
(CGM) of simulated galaxies and address the relative production of OVI by
photoionization versus collisional ionization, as a function of halo mass,
redshift, and distance from the galaxy halo center. This is done utilizing two
different suites of zoom-in hydro-cosmological simulations, VELA (6 halos;
) and NIHAO (18 halos; to ), which provide a broad theoretical basis
because they use different codes and physical recipes for star formation and
feedback. In all halos studied in this work, we find that collisional
ionization by thermal electrons dominates at high redshift, while
photoionization of cool or warm gas by the metagalactic radiation takes over
near . In halos of and above, collisions become
important again at , while photoionization remains significant down to
for less massive halos. In halos with , at most of the photoionized OVI is in a
warm, not cool, gas phase (~K). We also find that
collisions are dominant in the central regions of halos, while photoionization
is more significant at the outskirts, around , even in massive
halos. This too may be explained by the presence of warm gas or, in lower mass
halos, by cool gas inflows
Predictors of relapse among smokers: Transtheoretical effort variables, demographics, and smoking severity
The present longitudinal study investigates baseline assessments of static and dynamic variables, including demographic characteristics, smoking severity, and Transtheoretical Model of Behavior Change (TTM) effort variables (Decisional Balance (i.e. Pros and Cons), Situational Temptations, and Processes of Change) of relapse among individuals who were abstinent at 12 months. The study sample (N = 521) was derived from an integrated dataset of four population-based smoking cessation interventions. Several key findings included: Participants who were aged 25–44 and 45–64 (OR = .43, p = .01 and OR = .40, p = .01, respectively) compared to being aged 18–24 were less likely to relapse at follow-up. Participants in the control group were more than twice as likely to relapse (OR = 2.17, p = .00) at follow-up compared to participants in the treatment group. Participants who reported higher Habit Strength scores were more likely to relapse (OR = 1.05, p = .02). Participants who had higher scores of Reinforcement Management (OR = 1.05, p = .04) and Self-Reevaluation (OR = 1.08, p = .01) were more likely to relapse. Findings add to one assumption that relapsers tend to relapse not solely due to smoking addiction severity, but due to immediate precursor factors such as emotional distress. One approach would be to provide additional expert guidance on how smokers can manage stress effectively when they enroll in treatment at any stage of change
Transtheoretical Model-based multiple behavior intervention for weight management: Effectiveness on a population basis
Background: The increasing prevalence of overweight and obesity underscores the need for evidence-based, easily disseminable interventions for weight management that can be delivered on a population basis. The Transtheoretical Model (TTM) offers a promising theoretical framework for multiple behavior weight management interventions.
Methods: Overweight or obese adults (BMI 25–39.9; n = 1277) were randomized to no-treatment control or home-based, stage-matched multiple behavior interventions for up to three behaviors related to weight management at 0, 3, 6, and 9 months. All participants were re-assessed at 6, 12, and 24 months.
Results: Significant treatment effects were found for healthy eating (47.5% versus 34.3%), exercise (44.90% versus 38.10%), managing emotional distress (49.7% versus 30.30%), and untreated fruit and vegetable intake (48.5% versus 39.0%) progressing to Action/Maintenance at 24 months. The groups differed on weight lost at 24 months. Co-variation of behavior change occurred and was much more pronounced in the treatment group, where individuals progressing to Action/Maintenance for a single behavior were 2.5–5 times more likely to make progress on another behavior. The impact of the multiple behavior intervention was more than three times that of single behavior interventions.
Conclusions: This study demonstrates the ability of TTM-based tailored feedback to improve healthy eating, exercise, managing emotional distress, and weight on a population basis. The treatment produced a high level of population impact that future multiple behavior interventions can seek to surpass
The first ultraviolet quasar-stacked spectrum at z ≃ 2.4 from WFC3
The ionising continuum from active galactic nuclei (AGN) is fundamental for
interpreting their broad emission lines and understanding their impact on the
surrounding gas. Furthermore, it provides hints on how matter accretes onto
supermassive black holes. Using HST's Wide Field Camera 3 we have constructed
the first stacked ultraviolet (rest-frame wavelengths 600-2500\AA) spectrum of
53 luminous quasars at z=2.4, with a state-of-the-art correction for the
intervening Lyman forest and Lyman continuum absorption. The continuum slope
() of the full sample shows a break at ~912\AA\
with spectral index at \AA\ and a
softening at shorter wavelengths ( at \AA). Our analysis proves that a proper intergalactic medium absorption
correction is required to establish the intrinsic continuum emission of
quasars. We interpret our average ultraviolet spectrum in the context of
photoionisation, accretion disk models, and quasar contribution to the
ultraviolet background. We find that observed broad line ratios are consistent
with those predicted assuming an ionising slope of -2.0,
similar to the observed ionising spectrum in the same wavelength range. The
continuum break and softening are consistent with accretion disk plus X-ray
corona models when black hole spin is taken into account. Our spectral energy
distribution yields a 30% increase to previous estimates of the specific quasar
emissivity, such that quasars may contribute significantly to the total
specific Lyman limit emissivity estimated from the Ly forest at z<3.2.Comment: 19 pagine, 13 figure, replaced with version that matches the one
published in MNRA
Segmenting excessive alcohol consumers : implications for social marketing
While extant studies have mainly investigated differences between drinkers and non-drinkers, the literature on segmenting heavy drinkers and profiling them is surprisingly scarce. This study makes a significant contribution to the social marketing literature by illustrating a novel way of targeting heavy drinkers by utilizing their health management styles and provides useful insights into understanding how segmentation could be a valuable tool for developing effective social marketing programmes that are aimed at reducing excessive alcohol consumption. Analysis of data collected through the HINTS study reveals a two-cluster segmentation model. The two segments of heavy drinkers distinctly differ in terms of the extent of reliance and trust they place on health service professionals. Hence, the segmentation analysis provides interesting and novel insights into the level of dependence of heavy drinkers on the health care system and their health management styles. The study provides an actionable perspective for future research, public policy and social marketing
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