Ecological momentary assessment of digital food and beverage marketing exposure and impact in young adults: A feasibility study.

Unhealthy food marketing is contributing to the obesity epidemic, but real-time insights into the mechanisms of this relationship are under-studied. Digital marketing is growing and following food and beverage (F&B) brands on social media is common, but measurement of exposure and impact of such marketing presents novel challenges. Thus, this study aimed to evaluate the feasibility of collecting data on exposure and impact of digital F&B marketing (DFM) using a smartphone-based ecological momentary assessment (EMA) methodology. We hypothesized that DFM-induced food cravings would vary based on whether (or not) participants engaged with F&B brands online. Participants were Singapore residents (n = 95, 21-40 years), recruited via telephone from an existing cohort. Participants were asked to upload screenshots of all sightings of online F&B marketing messages for seven days, and answer in-app contextual questions about sightings including whether any cravings were induced. Participants provided a total of 1310 uploads (median 9 per participant, Q1-Q3: 4-21) of F&B marketing messages, 27% of which were provided on Day 1, significantly more than on other days (P < 0.001). Followers of food/beverage brands on social media encountered 25.6 percentage points (95% CI 11.4, 39.7) more marketing messages that induced cravings than participants who were not followers. University education was also associated with more (18.1 percentage points; 95% CI 3.1, 33.1) encounters with marketing messages that induced cravings. It was practical and acceptable to participants to gather insights into digital F&B marketing exposure and impact using EMA in young adults, although a shorter study period is recommended in future studies. Followers of food and beverage brands on social media appear to be more prone to experience cravings after exposure to digital F&B marketing.

Isocaloric Substitution of Plant-Based Protein for Animal-Based Protein and Cardiometabolic Risk Factors in a Multiethnic Asian Population.

BACKGROUND: Evidence is accumulating that intake of animal-based and plant-based proteins has different effects on cardiometabolic health, but less is known about the health effect of isocaloric substitution of animal-based and plant-based proteins. Data from Asian populations are limited. OBJECTIVES: This study aimed to evaluate the effects of isocaloric substitution of total plant-based proteins for total and various animal-based protein food groups and to evaluate the effects of substituting protein from legumes and pulses for various animal-based protein food groups on cardiovascular disease (CVD) risk factors and predicted 10-y CVD risk. METHODS: We conducted a cross-sectional analysis using data collected from 9211 Singapore residents (aged 21-75 y) from the Singapore Multi-Ethnic Cohort. Data on sociodemographic and lifestyle factors were collected using questionnaires. Dietary intakes were assessed using a validated FFQ. BMI, waist circumference, and blood pressure were measured during a physical examination, and blood samples were collected to measure lipid profiles. Associations were assessed by substitution models using a multiple linear regression analysis. RESULTS: Isocaloric substitution of total plant-based proteins for total and all specific animal-based protein food groups were associated with lower BMI (ß: -0.30; 95% CI: -0.38, -0.22), waist circumference (ß: -0.85; 95% CI: -1.04, -0.66), and LDL cholesterol concentrations (ß: -0.06; 95% CI: -0.08, -0.05) (P < 0.0056). Replacement of processed meat and processed seafood proteins with total plant-based proteins was associated with improvement in most CVD risk factors and predicted 10-y CVD risk. Replacement of oily fish with legume proteins was associated with lower HDL cholesterol and higher TG concentrations. CONCLUSIONS: The substitution of plant-based proteins for animal-based proteins, especially from processed meat and processed seafood, was inversely associated with the established CVD risk factors such as BMI, waist circumference, and lipid concentrations and predicted 10-y CVD risk. These findings warrant further investigation in independent studies in other Asian populations.

Demographic and psychosocial correlates of measurement error and reactivity bias in a four-day image-based mobile food record among adults with overweight and obesity.

Improving dietary reporting among people living with obesity is challenging as many factors influence reporting accuracy. Reactive reporting may occur in response to dietary recording but little is known about how image-based methods influence this process. Using a 4-day image-based mobile food record (mFRTM), this study aimed to identify demographic and psychosocial correlates of measurement error and reactivity bias, among adults with BMI 25-40kg/m2. Participants (n=155, aged 18-65y) completed psychosocial questionnaires, and kept a 4-day mFRTM. Energy expenditure (EE) was estimated using ≥4 days of hip-worn accelerometer data, and energy intake (EI) was measured using mFRTM. Energy intake: energy expenditure ratios were calculated, and participants in the highest tertile were considered to have Plausible Intakes. Negative changes in EI according to regression slopes indicated Reactive Reporting. Mean EI was 72% (SD=21) of estimated EE. Among participants with Plausible Intakes, mean EI was 96% (SD=13) of estimated EE. Higher BMI (OR 0.81, 95%CI 0.72-0.92) and greater need for social approval (OR 0.31, 95% CI 0.10-0.96), were associated with lower likelihood of Plausible Intakes. Estimated EI decreased by 3% per day of recording (IQR -14%,6%) among all participants. The EI of Reactive Reporters (n=52) decreased by 17%/day (IQR -23%,-13%). A history of weight loss (>10kg) (OR 3.4, 95% CI 1.5-7.8), and higher percentage of daily energy from protein (OR 1.1, 95%CI 1.0-1.2) were associated with greater odds of Reactive Reporting. Identification of reactivity to measurement, as well as Plausible Intakes, is recommended in community-dwelling studies to highlight and address sources of bias.

Dietary patterns and predicted 10-year cardiovascular disease risk in a multiethnic Asian population.

BACKGROUND AND AIMS: Studies examining associations between dietary patterns and Framingham risk score (FRS) and predicted 10-year cardiovascular diseases (CVD) risk in an Asian population are lacking. This study aimed to identify a posteriori dietary patterns across three major ethnic groups in Singapore and ascertain their associations with locally modified FRS and predicted 10-year CVD risk. METHODS AND RESULTS: This cross-sectional study included 8594 Singapore residents (aged 21-75 years) from the Singapore Multi-Ethnic Cohort. Data on sociodemographic and lifestyle factors were collected via questionnaires. Food consumption was assessed using a validated Food Frequency Questionnaire. Dietary patterns were identified using principal component analysis and associations with CVD risk factors, FRS and predicted CVD risk (%) were analysed using multiple linear and logistic regression. Four dietary patterns emerged that explained 25.6% of variance. The 'processed food and sugar-sweetened beverages' pattern was significantly associated with higher FRS (ß: 0.13; 95% CI: 0.04, 0.23), while the 'ethnic breads, legumes and nuts' (ß: 0.13; 95% CI: 0.22, -0.04) and 'whole grains, fruit and dairy' (ß: 0.17; 95% CI: 0.24, -0.10) patterns were significantly associated with lower FRS. The 'meat and vegetables' pattern was not significantly associated with FRS. Increased adherence to the 'whole grains, fruit and dairy' pattern was associated with lower odds of having predicted CVD risk of ≥10% (p-trend: 0.03). CONCLUSION: Adherence to the 'ethnic breads, legumes and nuts' and 'whole grains, fruit and dairy' patterns was associated with a lower predicted CVD risk, and an inverse association for the 'processed food and sugar-sweetened beverages' pattern in an Asian population. These findings can inform the development of culturally sensitive dietary interventions to prevent CVD.

Diet Quality and Lower Refined Grain Consumption are Associated With Less Weight Gain in a Multi-Ethnic Asian Adult Population.

BACKGROUND: The prevalence of obesity is increasing in many Asian countries. However, longitudinal data on the impacts of dietary factors on weight gain in Asian populations are sparse. OBJECTIVES: We evaluated the relationship between changes in intakes of nutrients, foods, and beverages and diet quality and long-term changes in body weight. METHODS: We used data (n = 3064) from the Singapore Multi-Ethnic Cohort, a prospective cohort including Chinese, Indian, and Malay residents aged 21-65 years. Dietary intakes were assessed using an FFQ, and body weight and waist circumference were measured during health examinations. Diet quality was evaluated using the Dietary Approaches to Stop Hypertension (DASH) and Alternative Healthy Eating Index (AHEI-2010) scores. Data were collected at baseline (2004-2010) and follow-up (2011-2016), with a mean follow-up of 6.0 years. Linear regression was used to assess the associations between dietary changes and weight change, adjusted for socio-demographic and lifestyle variables. RESULTS: Improvements in dietary quality scores (DASH, -0.34 kg per 5 points; AHEI-2010, -0.35 kg per 10 points) and replacement of carbohydrates with protein (-0.44 kg per 5% of energy) were significantly associated with less weight gain. Increased intakes of white rice (+0.25 kg per serving/d), soft drinks (+0.69 kg), red meat (+0.58 kg), and poultry with skin (+0.74 kg) were directly associated with weight gain. The replacement of 1 serving per day of white rice with whole grains (-0.68 kg), vegetables (-0.33 kg), poultry without skin (-0.79 kg), and eggs (-0.87 kg) was associated with less weight gain. Similar associations were observed between changes in dietary factors and changes in waist circumference. CONCLUSIONS: Among Asian adults, increasing dietary quality, reducing soft drink consumption, and replacing white rice with whole grains, vegetables, and selected high-protein foods was associated with less weight gain.

Consumption of Foods With Higher Energy Intake Rates is Associated With Greater Energy Intake, Adiposity, and Cardiovascular Risk Factors in Adults.

BACKGROUND: Both high energy density and fast eating rates contribute to excess energy intakes. The energy intake rate (EIR; kcal/min) combines both the energy density (kcal/g) and eating rate (g/min) of a food to quantify the typical rate at which calories of different foods are ingested. OBJECTIVES: We describe the EIRs of diets in a multi-ethnic Asian population, and examine relationships between the consumption of high-EIR foods and total energy intake, body composition, and cardio-metabolic risk factors. METHODS: Diet and lifestyle data from the Singapore Multi-Ethnic Cohort 2 (n = 7011; 21-75 y), were collected through interviewer-administrated questionnaires. The EIR for each of the 269 foods was calculated as the product of its eating rate and energy density. Multivariable models were used to examine associations between the relative consumption of foods with higher and lower EIRs and energy intake, body composition, and cardio-metabolic risks, after adjusting for age, sex, ethnicity, education level, physical activity, smoking status, and alcohol drinking status. RESULTS: Individuals with higher daily energy intakes and with obesity consumed a significantly larger percentage of their energy from high-EIR foods, with a smaller relative intake of lower-EIR foods. Individuals with raised serum cholesterol also consumed a significantly higher proportion of high-EIR foods, whereas those without hypertension consumed a larger percentage of energy intake from low-EIR foods. Individuals classified as having a "very high" dietary EIR had a significantly 1.3 kg higher body weight (95% CI, 0.2-1.5; P = 0.013), 0.4 kg/m2 higher BMI (95% CI, 0.03-0.8; P = 0.037), and 1.2 cm larger waist circumference (95% CI, 0.2-2.2; P = 0.010), and were more likely to have abdominal overweight (OR, 1.3; 95% CI, 1.1-1.5; P < 0.001) than those with a "low" dietary EIR. CONCLUSIONS: Comparing foods by their EIRs summarizes the combined impact of energy density and eating rate, and may identify foods and dietary patterns that are associated with obesogenic eating styles and higher diet-related cardiovascular disease risk in an Asian population.

Changes in Diet Quality from Mid- to Late Life Are Associated with Cognitive Impairment in the Singapore Chinese Health Study.

BACKGROUND: Although higher diet quality at mid-life has been associated with better cognitive function in late adulthood, it is unclear whether dietary improvement after mid-life may reduce the risk of cognitive impairment. OBJECTIVES: We examined associations between changes in diet quality and risk of cognitive impairment in the Singapore Chinese Health Study cohort. METHODS: We used data from 14,683 Chinese men and women who were recruited at ages 45 to 74 y from 1993 to 1998 and re-interviewed after 20 y at ages 61 to 96 y during follow-up 3 (2014-2016). Diet quality was measured using the Dietary Approaches to Stop Hypertension (DASH) scores at baseline and follow-up 3 interviews. Cognitive impairment was defined using scores from the Singapore-modified Mini-Mental State Examination at the follow-up 3 interview. Multivariable logistic regression models were used to estimate ORs and 95% CIs for the associations between change in DASH scores and cognitive impairment. RESULTS: Higher quintiles in DASH scores at baseline and follow-up 3 interviews were associated with lower odds of cognitive impairment in a dose-dependent manner (both: P-trend < 0.001). Compared with participants with consistently low DASH scores, the OR (95% CI) of cognitive impairment was lowest, at 0.64 (0.51, 0.79), in those with consistently high DASH scores. Those with small (OR: 0.80, 95% CI: 0.65, 0.98) or moderate-large (OR: 0.72, 95% CI: 0.59, 0.86) increases in DASH scores were associated with significantly lower odds of cognitive impairment than those with consistently low DASH scores. Associations were consistent across subgroups by sex, BMI (kg/m2; <23 or ≥23), and age (<60 y, ≥60 y) at baseline. CONCLUSIONS: Although maintaining high diet quality confers the lowest risk, improving diet quality from mid- to late life was still associated with a lower risk of cognitive impairment in late adulthood.

Increased oral processing and a slower eating rate increase glycaemic, insulin and satiety responses to a mixed meal tolerance test.

PURPOSE: Variations in specific oral processing behaviours may contribute to differences in glucose, insulin and satiety responses to a standardised test meal. This study tested how natural variations in oral processing between slower and faster eaters contribute to differences in post-prandial glucose (PP glucose), insulin response (PP insulin) and post-meal satiety for a standardised test meal. METHODS: Thirty-three participants with higher risk for type 2 diabetes consumed a standardised test-meal while being video recorded to derive specific oral processing behaviours. Plasma glucose, insulin and satiety measures were collected at baseline, during and post meal. Participants were split into slower and faster eaters using median split based on their eating rates and individual bolus properties were analysed at the point of swallow. RESULTS: There were large variations in eating rate (p < 0.001). While there was no significant difference in PP glucose response (p > 0.05), slower eaters showed significantly higher PP insulin between 45 and 60 min (p < 0.001). Slower eaters had longer oro-sensory exposure and increased bolus saliva uptake which was associated with higher PP glucose iAUC. Faster eating rate and larger bolus particle size at swallow correlated with lower PP glucose iAUC. A slower eating rate with greater chews per bite significantly increased insulin iAUC. Faster eaters also consistently rated their hunger and desire to eat higher than slower eaters (p < 0.05). CONCLUSIONS: Natural variations in eating rate and the associated oral processing contributed to differences in PP glucose, PP insulin and satiety responses. Encouraging increased chewing and longer oral-exposure time during consumption, may promote early glucose absorption and greater insulin and satiety responses, and help support euglycaemia. TRIAL REGISTRATION: ClinicalTrials.gov identifier: NCT04522063.

Identifying implementation gaps and priorities for the Singapore government to improve food environment policies: perspectives from a local expert panel.

OBJECTIVE: Singapore, an urbanised, developed nation, with a high reliance on food importation and a high prevalence of eating out is facing rising rates of obesity and diabetes. The objective of the current study was to characterise and evaluate the Singapore government's policies to improve the food environment and to identify and prioritise concrete actions. DESIGN: The Healthy Food Environment Policy Index tool and process were used. An expert panel rated the Singapore government's implementation of forty-seven indicators compared with international best practice in 2018. Indicators were prioritised, and specific recommendations were proposed by panel. SETTING: Singapore. PARTICIPANTS: Twenty experts primarily from academia. RESULTS: As compared with international benchmarks, the level of implementation of most indicators (thirty-three indicators, 70 %) by the Singapore government was evaluated as being at least moderate. Highly rated indicators included those related to provision of healthier meals at school, supporting the use of healthier ingredients by food vendors and governmental leadership. More policy indicators (6, 26 %) as compared with infrastructure support indicators (2, 8 %) received a 'very little or no implementation' rating. After rating, the experts prioritised eleven indicators and proposed thirty-one actions informed by several considerations including those of effectiveness, political acceptability, feasibility and unique characteristics of food retail in Singapore. CONCLUSIONS: Supported by documented evidence, an independent expert panel identified areas of strengths and provided specific recommendations to meaningfully improve the Singapore food environment to facilitate healthier eating. Fundamental recommendations including improving nutrition profiling and strengthening monitoring systems have the potential to positively influence environments across policy domains.

A Healthy Asian A Posteriori Dietary Pattern Correlates with A Priori Dietary Patterns and Is Associated with Cardiovascular Disease Risk Factors in a Multiethnic Asian Population.

Background: Healthful dietary patterns are associated with cardiovascular disease risk factors in Western populations. However, a consistent healthful dietary pattern across major Asian ethnic groups has yet to be identified. Objective: We aimed to identify a posteriori dietary patterns for Chinese, Malay, and Indian ethnic groups in an urban Asian setting, compare these with a priori dietary patterns, and ascertain associations with cardiovascular disease risk factors including hypertension, obesity, and abnormal blood lipid concentrations. Methods: We used cross-sectional data from 8433 Singapore residents (aged 21-94 y) from the Multi-Ethnic Cohort study of Chinese, Malay, and Indian ethnicity. Food consumption was assessed using a validated 169-item food-frequency questionnaire. With the use of 28 food groups, dietary patterns were derived by principal component analysis, and their association with cardiovascular disease risk factors was assessed using multiple linear regression. Associations between derived patterns and a priori patterns (aHEI-2010-Alternative Healthy Eating Index-2010, aMED-alternate Mediterranean Diet, and DASH-Dietary Approaches to Stop Hypertension) were assessed, and the magnitude of associations with risk factors compared. Results: We identified a "healthy" dietary pattern, similar across ethnic groups, and characterized by high intakes of whole grains, fruit, dairy, vegetables, and unsaturated cooking oil and low intakes of Western fast foods, sugar-sweetened beverages, poultry, processed meat, and flavored rice. This "healthy" pattern was inversely associated with body mass index (BMI; in kg/m2) (-0.26 per 1 SD of the pattern score; 95% CI: -0.36, -0.16), waist circumference (-0.57 cm; 95% CI: -0.82, -0.32), total cholesterol (-0.070 mmol/L; 95% CI: -0.091, -0.048), LDL cholesterol (-0.054 mmol/L; 95% CI: -0.074, -0.035), and fasting triglycerides (-0.22 mmol/L; 95% CI: -0.04, -0.004) and directly associated with HDL cholesterol (0.013 mmol/L; 95% CI: 0.006, 0.021). Generally, "healthy" pattern associations were at least as strong as a priori pattern associations with cardiovascular disease risk factors. Conclusion: A healthful dietary pattern that correlated well with a priori patterns and was associated with lower BMI, serum LDL cholesterol, total cholesterol, and fasting triglyceride concentrations was identified across 3 major Asian ethnic groups.