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The objective of the current study was to identify factors across the socio-ecological model (SEM) associated with adolescents’ sugar-sweetened beverage (SSB) intake.
This cross-sectional study surveyed adolescents using previously validated instruments. Analyses included descriptive statistics, ANOVA tests and stepwise nonlinear regression models (i.e., two-part models) adjusted to be cluster robust. Guided by SEM, a four-step model was used to identify factors associated with adolescent SSB intake – step 1: demographics (i.e., age, gender), step 2: intrapersonal (i.e., theory of planned behaviour (attitudes, subjective norms, perceived behavioural control, behavioural intentions), health literacy, media literacy, public health literacy), step 3: interpersonal (i.e., caregiver’s SSB behaviours, caregiver’s SSB rules) and step 4: environmental (i.e., home SSB availability) level variables.
Eight middle schools across four rural southwest Virginia counties in Appalachia.
Seven hundred ninety seventh grade students (55·4 % female, 44·6 % males, mean age 12 (sd 0·5) years).
Mean SSB intake was 36·3 (sd 42·5) fluid ounces or 433·4 (sd 493·6) calories per day. In the final step of the regression model, seven variables significantly explained adolescent’s SSB consumption: behavioural intention (P < 0·05), affective attitude (P < 0·05), perceived behavioural control (P < 0·05), health literacy (P < 0·001), caregiver behaviours (P < 0·05), caregiver rules (P < 0·05) and home availability (P < 0·001).
SSB intake among adolescents in rural Appalachia was nearly three times above national mean. Home environment was the strongest predictor of adolescent SSB intake, followed by caregiver rules, caregiver behaviours and health literacy. Future interventions targeting these factors may provide the greatest opportunity to improve adolescent SSB intake.
To describe relationships among baseline characteristics, engagement indicators and outcomes for rural participants enrolled in SIPsmartER, a behavioural intervention targeting sugar-sweetened beverage (SSB) intake.
A secondary data analysis. Bivariate analyses determined relationships among baseline characteristics (e.g. age, gender, race, education, income), engagement indicators (completion of 6-month health screening, class attendance, call completion) and SSB outcomes (SSB ounce reduction (i.e. US fluid ounces; 1 US fl. oz = 29·57 ml), reduced ≥12 ounces, achieved ≤8 ounce intake). Generalized linear models tested for significant effects of baseline characteristics on engagement indicators and of baseline characteristics and engagement indicators on SSB outcomes.
South-west Virginia, USA, a rural, medically underserved region.
Participants’ (n 155) mean age was 41 years; most were female (81 %), White (91 %) and earned ≤$US 20 000 per annum (61 %).
All final models were significant. Engagement models predicted 12–17 % of variance, with age being a significant predictor in all three models. SSB outcome models explained 5–70 % of variance. Number of classes attended was a significant predictor of SSB ounce reduction (β = −6·12, P < 0·01). Baseline SSB intake significantly predicted SSB ounce reduction (β = −0·90, P < 0·001) and achieved ≤8 ounce intake (β = 0·98, P < 0·05).
The study identifies several participant baseline characteristics that may impact engagement in and outcomes from a community-based intervention targeting SSB intake. Findings suggest greater attendance of SIPsmartER classes is associated with greater reduction in overall SSB intake; yet engagement variables did not predict other outcomes. Findings will inform the future implementation of SIPsmartER and research studies of similar design and intent.
Controversy exists surrounding the health effects of added sugar (AS) and sugar-sweetened beverage (SSB) intakes, primarily due to a reliance on self-reported dietary intake. The purpose of the current investigation was to determine if a 6-month intervention targeting reduced SSB intake would impact δ13C AS intake biomarker values.
A randomized controlled intervention trial. At baseline and at 6 months, participants underwent assessments of anthropometrics and dietary intake. Fasting fingerstick blood samples were obtained and analysed for δ13C value using natural abundance stable isotope MS. Statistical analysis included descriptive statistics, correlational analyses and multilevel mixed-effects linear regression analysis using an intention-to-treat approach.
Rural Southwest Virginia, USA.
Adults aged ≥18 years who consumed ≥200 kcal SSB/d (≥837 kJ/d) were randomly assigned to either the intervention (n 155) or a matched-contact group (n 146). Participants (mean age 42·1 (sd 13·4) years) were primarily female and overweight (21·5 %) or obese (57·0 %).
A significant group by time difference in δ13C value was detected (P<0·001), with mean (sd) δ13C value decreasing in the intervention group (pre: −18·92 (0·65) ‰, post: −18·97 (0·65) ‰) and no change in the comparison group (pre: −18·94 (0·72) ‰, post: −18·92 (0·73) ‰). Significant group differences in weight and BMI change were also detected. Changes in biomarker δ13C values were consistent with changes in self-reported AS and SSB intakes.
The δ13C sugar intake biomarker assessed using fingerstick blood samples shows promise as an objective indicator of AS and SSB intakes which could be feasibly included in community-based research trials.
Evaluating an intervention’s theoretical basis can inform design modifications to produce more effective interventions. Hence the present study’s purpose was to determine if effects from a multicomponent lifestyle intervention were mediated by changes in the psychosocial constructs decisional balance, self-efficacy and social support.
Delta Body and Soul III, conducted from August 2011 to May 2012, was a 6-month, church-based, lifestyle intervention designed to improve diet quality and increase physical activity. Primary outcomes, diet quality and aerobic and strength/flexibility physical activity, as well as psychosocial constructs, were assessed via self-report, interviewer-administered surveys at baseline and post intervention. Mediation analyses were conducted using ordinary least squares (continuous outcomes) and maximum likelihood logistic (dichotomous outcomes) regression path analysis.
Churches (five intervention and three control) were recruited from four counties in the Lower Mississippi Delta region of the USA.
Based upon results from the multiple mediation models, there was no evidence that treatment (intervention v. control) indirectly influenced changes in diet quality or physical activity through its effects on decisional balance, self-efficacy and social support. However, there was evidence for direct effects of social support for exercise on physical activity and of self-efficacy for sugar-sweetened beverages on diet quality.
Results do not support the hypothesis that the psychosocial constructs decisional balance, self-efficacy and social support were the theoretical mechanisms by which the Delta Body and Soul III intervention influenced changes in diet quality and physical activity.
The δ13C value of human blood is an emerging novel biomarker of added sugar (AS) intake for adults. However, no free-living, community-based assessments of comparative validity of this biomarker have been conducted. The purpose of the present investigation was to determine if Healthy Eating Index-2010 (HEI-2010) score, SoFAAS score (HEI-2010 sub-component for solid fat, alcohol and AS), AS and sugar-sweetened beverage (SSB) intakes were associated with δ13C value of fingerstick blood in a community-based sample of adults, while controlling for relevant demographics.
A cross-sectional analysis of data obtained from assessments of BMI, dietary intake using 24 h recalls and a fingerstick blood sample was completed. Statistical analyses included descriptive statistics, multiple linear regression and one-way ANOVA.
Rural Southwest Virginia, USA.
Adults (n 216) aged >18 years who consumed at least 837 kJ/d (200 kcal/d) from SSB.
This sample of adult participants with low socio-economic status demonstrated a mean HEI-2010 score of 43·4 (sd 12·2), mean SoFAAS score of 10·2 (sd 5·7), mean AS intake of 93 (sd 65) g/d and mean blood δ13C value of −18·88 (sd 0·7) ‰. In four separate regression models, HEI-2010 (R2=0·16), SoFAAS (R2=0·19), AS (R2=0·15) and SSB (R2=0·14) predicted δ13C value (all P≤0·001). Age was also predictive of δ13C value, but not sex or race.
These findings suggest that fingerstick δ13C value has the potential to be a minimally invasive method for assessing AS and SSB intake and overall dietary quality in community-based settings. Strengths, limitations and future areas of research for using an objective δ13C biomarker in diet-related public health studies are discussed.
The objectives of the present study were to evaluate diet quality among Lower Mississippi Delta (LMD) residents using the Healthy Eating Index-2005 (HEI-2005) and to identify the top five dietary sources contributing to HEI-2005 components. Demographic differences in HEI-2005 scores were also explored.
Diet quality was evaluated using HEI-2005. Demographic differences in HEI-2005 scores were investigated using multivariable regression models adjusting for multiple comparisons. The top five dietary sources contributing to HEI-2005 components were identified by estimating and ranking mean MyPyramid equivalents overall and by demographic characteristics.
Dietary data, based on a single 24 h recall, from the Foods of Our Delta Study 2000 (FOODS 2000) were used in the analyses.
FOODS 2000 adult participants 18 years of age or older.
Younger age was the largest determinant of low diet quality in the LMD with HEI-2005 total and seven component scores declining with decreasing age. Income was not a significant factor for HEI-2005 total or component scores. The top five dietary sources differed by all five of the demographic variables, particularly for total vegetables and energy from solid fats, alcoholic beverages and added sugars (SoFAAS). Soft drinks were the leading source of SoFAAS energy intake for all demographic groups.
The assessment of diet quality and identification of top dietary sources revealed the presence of demographic differences for selected HEI-2005 components. These findings allow identification of food patterns and culturally appropriate messaging and highlight the difficulties of treating this region as a homogeneous population.
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