Nutrition and Health

Alternate-day fasting (ADF) involves a ‘famine day’ (25% energy intake) and a ‘feast day’ (ad libitum intake). This secondary analysis examined changes in beverage intake in relation to energy intake and body weight during 12 months of ADF versus daily calorie restriction (CR).

Obese subjects (n = 100 enrolled, n = 69 completers) were randomized to one of three groups for 12 months: (a) ADF; (b) CR; or (c) control.

At baseline, intakes of diet soda, caffeinated beverages, sugar-sweetened soda, alcohol, juice, and milk were similar between groups. There were no statistically significant changes in the intake of these beverages by month 6 or 12 between ADF (feast or famine day), CR, or control groups. Beverage intake was not related to energy intake or body weight at month 6 or 12 in any group.

These pilot findings suggest that intermittent fasting does not impact beverage intake in a way that affects energy intake or body weight.

The average worker gains 2–3 lb (0.9–1.4 kg) a year, about half of which is gained during the fall holiday season (Halloween through New Year’s).

The aim of the study was to conduct a pilot test of a weight gain prevention program that was implemented in a workplace setting during the fall holiday season.

239 state government employees participated in a weight gain prevention program offered during the fall holiday season. The program was a 10-week, team-based program that consisted of self-monitoring, regular weigh-ins, a team challenge, and organizational support. Weight was measured at baseline, every two weeks during the program, and post-program.

Participants lost a significant amount of weight (from 196.7 lb/89.2 kg to 192.3 lb/87.2 kg) during the program. Positive changes were observed in physical activity and eating behaviors.

This study demonstrated that a weight gain prevention program during a high risk period (fall holiday season) can be effective.

Identifying when and where people overeat is important for intervention design, yet little is known about how unhealthy behaviours unfold in real life.

To track the activities, social contexts and locations that co-occur with unhealthy snacking.

Sixty-four adults (49F, mean age = 38.6 years) used electronic diaries to record snacking, location, social context and current activity every waking hour over 7 days. The proportion of snacking episodes that co-occurred with each location/activity/context was calculated by group and individual.

Over the group, snacking was most frequent whilst socialising (19.9% of hours spent socialising) or using the TV/computer (19.7%), when with friends (16.7%) and when at home (15.3%). All intra-class correlation statistics for cued behaviour were low, indicating the importance of within-person variability. There were marked individual differences between people in what constituted a ‘typical’ context for snacking.

People show substantial differences in the contexts in which they snack. Tailoring interventions to these individual patterns of behaviour may improve intervention efficacy.

Food-based dietary guidelines are designed to support populations to adopt a healthy diet. University students studying nutrition related courses are typically en-route to professional roles that involve advocating a healthy diet.

The present study compared the dietary intake of university students enrolled in a foundation nutrition course against the Australian Dietary Guidelines (ADGs) and Nutrient Reference Values (NRVs), and explored students’ experiences of following a 3-day self-determined diet plan adhering to the ADGs/NRVs.

Students (n = 115) initially collected, and subsequently analysed a 3-day prospective diet record to determine food group/nutrient intake. Individuals then modified their diet to comply with recommendations (ADGs/NRVs) and attempted to implement the diet plan. Challenges associated with meeting the ADGs/NRVs were described in an online survey form.

Baseline food group and nutrient intakes deviated from the guidelines, with ‘lean meats & alternatives’ the only group consumed in recommended quantities. Students demonstrated the capacity to plan a modified personal diet adhering to the ADGs food group recommendations. However, when following this, several key challenges to dietary adherence were identified. Challenges were categorised as personal/behavioural factors (e.g. the quantity/type of food) and societal factors (e.g. time, cost, social factors).

Overall, this study highlights challenges influencing adherence to dietary guidelines in a sample of undergraduate university students. Understanding these factors may help tailor advice to facilitate improved dietary patterns in this population group.

The control of chronic inflammation has emerged as a target for improving the health of cancer survivors (CS).

To examine differences in fitness and dietary characteristics of CS when grouped by low vs. moderate to high serum C-reactive protein (CRP).

CS (N = 26, mean age = 68 ± 12 years) were evaluated for body mass index (BMI), body composition, cardiorespiratory fitness, dietary intake, dietary inflammatory index (DII), and serum CRP. Participants were assigned to one of two groups based on serum CRP concentrations: low CRP (≤1 mg/L) (LWC; n = 13) or moderate to high (CRP > 1 mg/L) (MHC; n = 13) and t-tests compared them. Data are presented as mean ± SD.

LWC had higher VO₂peak values (mL/kg/min) (p = 0.0003), and lower visceral fat area (cm²) (p = 0.02) and body fat mass (kg) (p = 0.04). Secondary analysis using Pearson’s correlation coefficients, including all current study participant data, found significant negative relationships between CRP and total dietary fat intake (p = 0.02), saturated fat (p = 0.03), and polyunsaturated fat (p = 0.03).

CS with moderate to high serum CRP concentrations had higher fat mass, visceral fat mass, and lower cardiorespiratory fitness. There was a significant negative relationship between dietary, fat, polyunsaturated and saturated fat, and CRP. However, these dietary fat related findings warrant further investigation. To summarize, improving cardiorespiratory fitness, maintaining lower body fat, may be helpful in altering chronic inflammation in CS.

Violence and aggression are considered to be important public health issues. There is limited data on the association between dietary intake and aggression score.

We aimed to examine the relationship between the dietary intake and aggressive behavior in Iranian adolescent girls.

The study was carried out among 670 girls aged 12–18 years. A valid and reliable food frequency questionnaire (FFQ) containing 147 food items was used to estimate dietary intake of the study participants. Aggression score was determined using a validated Persian version of the Buss–Perry questionnaire. We analyzed our data using crude and adjusted models.

Participants in the fourth quartile of aggression score had significantly higher energy intake compared with those in the first quartile (2808±949 vs 2629±819, p-trend = 0.01). Dietary intakes of soluble fiber (0.42±0.37 vs 0.35±0.29, p = 0.03) and insoluble fiber (2.17±1.65 vs 1.82±1.36, p = 0.02) were significantly higher in the first quartile than in the fourth quartile. In addition, the strongest negative correlations were found between aggression score and dietary soluble fiber (p = 0.003) and insoluble fiber intake (p = 0.001). Moreover, aggression score was negatively correlated with dietary α-carotene (p = 0.02) and β-carotene (p = 0.04) intake. These associations remained significant even after adjustment for potential confounders.

Our results indicated that dietary intakes of fiber, α-carotene, and β-carotene were inversely associated with aggression score. Moreover, a significant positive association was observed between energy intake and aggression score in adolescent girls.

Health conscious consumers often make choices from constrained sets of food options, such as a restaurant menu, in which healthy options may not be present.

The aim of this research was to examine how different decision strategies, such as selection versus rejection, influence the food option chosen when a choice set is restricted to unhealthy options. The mediating role of anticipated guilt was also explored.

An experiment was conducted using a hypothetical choice scenario, in which participants were randomly assigned to a decision making strategy (select versus reject), health objective (diet versus indulge), and relative preference for the options (choice between two preferred options versus one preferred and one non-preferred option) was manipulated.

When using a selection strategy, consumers are more likely to choose their most preferred option, regardless of their health objectives, but when using a rejection strategy, health conscious consumers are more likely to avoid their most preferred option and consume a lesser liked alternative. Further, this effect is driven by reduced feelings of guilt. Important boundary conditions include consumer preference for the food options, as health conscious consumers will not reject their favorite option if they do not like the alternative.

Decision making strategy influences health conscious consumers’ choices between unhealthy food options.

There are different equations for estimating Resting Energy Expenditure (REE). However, these equations were mainly developed based on populations of western countries.

The present study was conducted to determine the validity of REE predictive equations in adults with central obesity.

This study was conducted with 129 adults with central obesity aged 35–65 years, a sub-sample from a large cohort study (Western Iran), Kurdish population. REE was measured by indirect calorimetry (IC) and REE predictive equations. Data were analysed using Pearson correlation, paired t-test, concordance correlation coefficient (CCC), mean squared deviation (MSD), level of agreement (LOA) and Bland-Altman plot.

All REE predictive equations had low CCC and high LOA. Although there was no statistically significant difference in the REE measured with IC and the REE predicted with the Food and Agriculture Organization/World Health Organization/United Nations University (FAO/WHO/UNU), FAO/WHO/UNU (Height), Muller and revised Harris-Benedict equations (P = 0.874, 0.113, 0.619, 0.143 and P = 0.121), other equations had statistically significant differences with IC (P<0.001). In addition, the highest correlation was found between the IC (r = 0.682). The least difference was related to the FAO/WHO/UNU equation, with an agreement limit of -507.96 to 500.79 Kcal/day, with a 95% confidence interval.

The results of this study showed that the FAO/WHO/UNU, Muller, revised Harris-Benedict equations and Mifflin St Jeor equations are relatively acceptable for estimating REE. However, these prediction equations are not good at predicting REE; more precise equations are needed to apply for different ethnic groups.

Recent findings suggest a protective role of the DASH dietary pattern on cardiovascular disease (CVD) incidence and mortality.

In this direction, we aimed at investigating the relationship between adherence to a DASH-style diet and CVD risk in a Greek cohort.

This sub-sample from the ATTICA epidemiological study consisted of 669 adults with a complete dietary profile at baseline, adequate to calculate DASH-diet score, and complete 10-year follow-up (2002–2012). Demographic, clinical and lifestyle parameters were thoroughly assessed at baseline and CVD incidence was recorded upon medical records at follow-up. Adherence to the DASH-style diet was assessed by a DASH-style diet score developed for the study (range 9–45).

Mean value (SD) of the DASH-diet score was 27.1 (5.1) (range 13–41). Adherence to a DASH-style diet was associated neither with the 10-year CVD risk nor with baseline clinical parameters. Multiple regression analysis revealed that, after appropriate adjustments, only age (46% increase per 5-life-years) and BMI (9.7% increase per unit of BMI) were associated with 10-year CVD events.

In this small cohort of a Mediterranean population, a cardioprotective effect of a DASH-style diet was not detected.

Colorectal cancer (CRC) is the third most common cancer worldwide. Age is the strongest non-modifiable risk factor but it is estimated that over half of CRC cases are linked with lifestyle factors such as diet. The Biomarkers Of RIsk of Colorectal Cancer (BORICC) Study recruited 363 participants in 2005 to investigate the effects of lifestyle factors on biomarkers of CRC risk.

In the present BORICC Follow-Up (BFU) Study, we are using a longitudinal study design to investigate the effects of ageing (12+ years) and lifestyle factors on biomarkers of CRC risk and on healthy ageing.

BFU Study participants attended a study visit at North Tyneside General Hospital (UK) for collection of biological samples, including blood and rectal biopsies, and information collected included anthropometric measurements, a Health & Medications Questionnaire, physical activity and sedentary behaviour, and habitual diet. Furthermore, musculoskeletal function was assessed by heel bone densitometry, timed up and go and hand grip strength as markers of healthy ageing. The BFU Study outcomes will be similar to those measured at baseline in the BORICC Study, such as DNA methylation and mitochondrial function, with additional measurements including the gut microbiome, faecal short-chain fatty acid concentrations and expression of genes associated with CRC.

Participants’ recruitment to BFU Study and all sample and data collection have been completed. Forty-seven of the original BORICC participants were re-recruited to the BFU Study (mean age 67 years, 51% female). The recruits included 37 initially healthy participants and 10 participants who had adenomatous polyps at baseline. Approximately 70% of participants were over-weight or obese.

Ultimately, identifying lifestyle factors that can reduce CRC risk, and understanding the underlying mechanisms for the effects of lifestyle and ageing on CRC risk, could lead to early prevention strategies.