Food Predictors Research Articles

Predictors of Food and Physical Activity Tracking Among Young Adults.

Monitoring food intake and physical activity (PA) using tracking applications may support behavior change. However, few longitudinal studies identify the characteristics of young adults who track their behavior, findings that could be useful in designing tracking-related interventions. Our objective was to identify predictors of past-year food and PA tracking among young adults. Data were available for 676 young adults participating in the ongoing longitudinal Nicotine Dependence in Teens Study. Potential predictors were measured in 2017-2020 at age 31, and past-year food and PA tracking were measured in 2021-2022 at age 34. Each potential predictor was studied in a separate multivariable logistic regression model controlling for age, sex, and educational attainment. One third (37%) of participants reported past-year PA tracking; 14% reported past-year food, and 10% reported both. Nine and 11 of 41 potential predictors were associated with food and PA tracking, respectively. Compensatory behaviors after overeating, trying to lose weight, self-report overweight, reporting a wide variety of exercise behaviors, and pressure to lose weight predicted both food and PA tracking. Food and PA tracking are relatively common among young adults. If the associations observed herein between compensatory behavior after overeating and tracking (among other observed associations) are replicated and found to be causal, caution may need to be exercised in making "blanket" recommendations to track food intake and/or PA to all young adults seeking behavior change.

Predictors of Food and Water Stockpiling During the COVID-19 Pandemic Among Latinos and Non-Latino Black People.

The study examined factors associated with food and water stockpiling (FWS) during the COVID-19 pandemic. A secondary analysis of online survey data collected in two waves: April 2020 (wave 1) and June/July 2020 (wave 2), was conducted through REDCap web application. A total of 2,271 Non-Latino Black and Latino adults (mean age: 36.8 years (SD = 16.0); 64.3% female) living in Illinois were recruited. Participants self-reported if they stockpiled food and/or water (FWS) seven days prior to survey completion because of the pandemic. Logistic regression was used to determine if each variable was associated with the odds of reporting FWS. Nearly a quarter (23.3%) of participants reported FWS. The adjusted model revealed that odds of FWS increase as the number of household members increased (OR: 1.21; 95% CI: 1.05-1.41). Odds of FWS were lower among participants who were not self-quarantining compared to those self-quarantining all the time (OR: 0.32; 95% CI: 0.17 - 0.62). Furthermore, individuals with lower levels of concern about COVID-19 had lower odds of FWS than those extremely concerned. Household size, self-quarantine status, and concern about COVID-19 were significantly associated with FWS. These findings highlight the need to address the concerns of marginalized individuals to promote healthy behaviors.

Epigenetic alteration of BDNF gene, social and health status as predictors of food and nutrition insecurity among familiar coffee farmers

Introduction: state of Food and Nutritional Security (FNS) is one that should guarantee the right of permanent access to quality food and in sufficient quantity without prejudicing access to other basic rights. In Brazil, rural family farming establishments represent 84.4% of total agricultural establishments and contribute to more than 70% of all food consumed by Brazilians. In this context, the production of the coffee commodity stands out. However, despite being food producers, they do not earn a good income. Slow economic activity can lead to loss of wages and income, illness, as well as food insecurity (FNiS). In addition, the molecular effects of FNiS are poorly studied, especially epigenetic. Objective: the objective of the present study is to analyze the association between Brain-Derived Neurotrophic Factor (BDNF) DNA methylation and socio demographic, lifestyle, and epigenetic factors, among coffee farmers in the Caparaó zone, in Espirito Santo, Southeast Brazil. Methods: the study was carried out in 22 randomly selected coffee producing communities in Zona Caparaó, an area that produces coffee of recognized quality. A total of 570 coffee farming households, 18 to 60 years of age, were included in the study by answering a questionnaire about socioeconomic characteristics, land use and ownership, behavior, health, and working conditions. FNiS evaluation was carried out using the Brazilian Food Insecurity Scale. BDNF exon I methylation was examined by methylation-specific PCR. Body mass index and biochemical analyses were performed. Logistic regression models were used to verify factors associated with FNiS (p<0.05). Data were analyzed using the Stata® statistical software package version 14. Results: the FNiS prevalence found was 23.68%. In multivariable logistic regression, the occurrence of FNiS was associated with hypermethylation of exon I of the BDNF promoter exon I [ORa = 5.03 (95% (1.98, 12.82)] when compared to the unmethylated gene. Moreover, FNiS was associated with excessive workload [ORa = 3.36 (1.23, 9.22)], possession of less land (hectares) [ORa = 0.77 (0.67, 0.90)] and greater number symptoms and / or illnesses in real life [ORa = 1.12 (1.04.1.20)]. Conclusion: there is a high prevalence of Food Insecurity in the studied region. This phenomenon was associated with epigenetic factors (BDNF methylation), excessive workload, small land ownership and a greater number of diseases / symptoms. Food insecurity is a psychosocial stressor that can lead to epigenetic changes in the BDNF gene, responsible for regulating cognitive functions, neuronal survival and involved in the genesis of psychiatric diseases.

Disruptive Innovations for Well-Functioning Food Systems: The Data-Driven “Food and Nutrition Security Under Climate Evolution” Framework

The current climate crisis poses new uncertainties, risks, and vulnerabilities, and is leading to losses for millions of people depending on fragile food systems. Food systems are, however, vastly different across landscapes and communities, and their capacities to respond to climate impacts evolve and change through time. Humanitarian and development organizations are struggling to keep pace with these changes. Monitoring a large number of diverse food systems during an evolving climate crisis can be expensive and time-consuming. This paper introduces a monitoring approach that uses a combination of open-source earth observations along with national data sources to produce highly contextualized metrics for monitoring Food And Nutrition Security under Climate Evolution (FANSCE). Entirely data-driven, the FANSCE approach has been designed to produce policy recommendations to help monitor, assess, and mitigate climatic impacts on food systems. We developed and tested this approach in Vietnam, where climate variability has become a growing threat to food systems. Our results show that predictors of food and nutrition security differ drastically with the intensity of climate variability. More specifically, our analyses suggest that in areas of high climate variability, levels of food and nutrition security can be significantly predicted based on economic activities, ethnicity, education, health of mothers, and the level of readiness and preparedness to climate impacts of villages and communities. On the other hand, in areas of low climate variability, food and nutrition security are mostly predictable based on the ability of households to access essential services (such as education, health) and communal resources (water, storage, etc.). To support the resilience of food systems, policymakers must regularly monitor how these dimensions react to the changing climate. Addition critical actions to increase food system sustainability in Vietnam include 1) enhanced coordination of institutional responses and capacities across governmental and non-governmental agencies, and 2) better integration of scientific knowledge into national and sub-national decision-making processes.

Testing an online measure of portion size selection: a pilot study concerned with the measurement of ideal portion size

BackgroundPortion size is known to be a key driver of food intake. As consumed portions are often pre-planned, ‘ideal portion size’—an individual’s preferred meal size selected prior to eating—has been identified as a strong predictor of actual consumption. However, assessments of ideal portion size have predominantly relied on laboratory-based computer tasks, limiting use online. Therefore, this cross-sectional study sought to pilot test the validity of a web-based tool to measure ideal portion size.MethodsIn an online study (N = 48), participants responded to images of a range of foods. Each food was photographed in a series of different portions and loaded into an ‘image carousel’ that would allow participants to change the size of the displayed portion by moving a slider left-to-right. Using this image carousel, participants selected their ideal portion size. They also completed measures of expected satiety and expected satiation and self-reported their age and body mass index (BMI). A non-parametric correlation matrix was used to explore associations between ideal portion size and identified predictors of food intake.ResultsSupporting convergent validity of this measure, ideal portion size was significantly correlated with expected satiety (rs = .480) and expected satiation (rs = −.310) after controlling for effects of baseline hunger and fullness, consistent with past research. Similarly, supporting divergent validity of this measure, ideal portion size was not significantly correlated with age (rs = −.032) or BMI (rs = −.111,).ConclusionsPilot results support the validity of this web-based portion size selection tool used to measure ideal portion size, though further research is needed to validate use with comparisons to actual food intake.

Development and validation of a food and nutrition literacy questionnaire for Chinese school-age children.

BackgroundThis study aimed to develop and validate the Food and Nutrition Literacy Questionnaire for Chinese School-age Children (FNLQ-SC).MethodsA comprehensive literature review and qualitative study were initially performed to identify the dimensions and core components of food and nutrition literacy. A cross-sectional survey of 4359 school-age children was conducted, and junior middle school students were used to analyze the reliability and validity of the questionnaire (n = 2452). The reliability of the questionnaire was determined by internal consistency, the construct validity was assessed by exploratory factor analysis (EFA) and confirmatory factor analysis (CFA), and the content validity was assessed by the Pearson correlation coefficient.ResultsFrom the literature review and qualitative methods, 19 core components of the FNLQ-SC were developed, including one dimension of food and nutrition knowledge and understanding, and four skill dimensions (ability of access, selection, preparing food and healthy eating). The overall FNLQ-SC questionnaire had acceptable internal consistency (Cronbach’s α = 0.698). The EFA of skill components extracted 5 factors that were included in the conceptual framework in a slightly different model, and the cumulative contribution of variance accounted for 50.60% of the overall variance. The CFA of skill components showed an acceptable fit in general and the root mean square error of approximation (RMSEA) was 0.070 (between 0.50 to 0.80). The communality was greater than 0.20 for all components. The Pearson correlation coefficients between each dimension and the overall questionnaire ranged from 0.370 to 0.877. The average FNLQ-SC score of all 4395 participants was 61.91 ± 9.22, and the score for the knowledge and understanding dimension was higher than that for the skill dimensions. Multiple linear regression analysis indicated that not only social demographic characteristics (being a girl, being an only child, living someplace other than at school, having an urban registered permanent residence status, being from an affluent family, and being cared for by parents/grandparents with a higher education level) but also the home food environment were predictors of food and nutrition literacy in school-age children (R2 = 0.226, F = 81.401, P<0.05).ConclusionThe Food and Nutrition Literacy Questionnaire (FNLQ-SC) developed here had good reliability, and it can potentially be a useful instrument for assessing food and nutrition literacy among Chinese school-age children.

Is food insecurity a problem among the elderly in Sharpeville, South Africa?

The objective of this study was to determine the prevalence of food and nutrition insecurity and assess the socio-demographic factors associated with food and nutrition insecurity among 146 free-living elderly persons attending a care centre in Sharpeville, South Africa. Measurement instruments included socio-demographic-, 24-hour-recall and dietary diversity questionnaires and the validated household food insecurity access scale/score (HFIAS). Data were analysed with IBM SPSS Software, version 25.0. The prevalence of food insecurity from HFIAS was 60% (n = 87), with a variety of balanced responses being employed. Significant relationships were observed between HFIAS and age (r = 0.301; p = 0.000) and with household income (r = −0.258; p = 0.007). An association was observed between HFIAS and marital status (p = 0.005). Regression analysis showed that age and being single were predictors of food and nutrition insecurity. This study indicated a problem of household food insecurity with poor dietary intakes among these elderly people, mostly due to poverty and being single. More research on associations between food security and socio-economic variables is needed to plan and implement appropriate strategies to address food and nutrition insecurity in South Africa.

Food insecurity and its predictors among lactating mothers in North Shoa Zone, Central Ethiopia: a community based cross-sectional study

ObjectiveTo assess the prevalence of food insecurity (FI) and its predictors among lactating mothers in Ataye District, North Shoa Zone, Central Ethiopia.DesignA community-based cross-sectional study design was used.SettingTwo urban and...

The "Ick" Factor: An Unrecognized Affective Predictor of Physical Symptoms During Chemotherapy.

Patients undergoing chemotherapy experience a range of aversive symptoms. These symptoms vary across individuals and at least some of this variation can be predicted by psychological factors, such as distress. However, while psychological distress predicts some of the symptoms, it is limited in important ways. To (a) assess the viability of disgust-a discrete emotion that specifically evolved for health-related reasons-as a predictor of chemotherapy-related symptoms (particularly, taste- and smell-related changes) and (b) compare the predictive utility of disgust sensitivity and propensity against the most commonly used affective predictor, that is, psychological distress. Patients with cancer (N = 63) about to initiate chemotherapy were recruited in a prospective observational study. Psychosocial predictor variables were assessed at baseline, and outcomes (i.e., physical symptoms, body mass index [BMI], and food-based sensory-processing changes) were assessed at both baseline and 6 week follow-up. Psychological distress did not predict any of the outcomes. Both disgust sensitivity (β = .53, p = .003) and propensity (β = -.56, p = .002) predicted greater food-based sensory-processing changes, while disgust sensitivity marginally predicted greater chemotherapy-related physical symptoms (β = .34, p = .060); neither of these two forms of disgust predicted BMI. The study provides first evidence showing (a) associations between trait disgust and food sensory-processing changes that arise during chemotherapy and (b) disgust as being a more useful predictor of food- and digestion-related symptoms than psychological distress. In doing so, it opens new doors for better care to be provided to patients undergoing chemotherapy.

Store turnover as a predictor of food and beverage provider turnover and associated dietary intake estimates in very remote Indigenous communities

Objective:Determine how very‐remote Indigenous community (RIC) food and beverage (F&B) turnover quantities and associated dietary intake estimates derived from only stores, compare with values derived from all community F&B providers. Methods:F&B turnover quantity and associated dietary intake estimates (energy, micro/macronutrients and major contributing food types) were derived from 12‐months transaction data of all F&B providers in three RICs (NT, Australia). F&B turnover quantities and dietary intake estimates from only stores (plus only the primary store in multiple‐store communities) were expressed as a proportion of complete F&B provider turnover values. Food types and macronutrient distribution (%E) estimates were quantitatively compared. Results:Combined stores F&B turnover accounted for the majority of F&B quantity (98.1%) and absolute dietary intake estimates (energy [97.8%], macronutrients [≥96.7%] and micronutrients [≥83.8%]). Macronutrient distribution estimates from combined stores and only the primary store closely aligned complete provider estimates (≤0.9% absolute). Food types were similar using combined stores, primary store or complete provider turnover. Conclusions and implications:Evaluating combined stores F&B turnover represents an efficient method to estimate total F&B turnover quantity and associated dietary intake in RICs. In multiple‐store communities, evaluating only primary store F&B turnover provides an efficient estimate of macronutrient distribution and major food types.

Food sharing in vampire bats: reciprocal help predicts donations more than relatedness or harassment

Common vampire bats often regurgitate food to roost-mates that fail to feed. The original explanation for this costly helping behaviour invoked both direct and indirect fitness benefits. Several authors have since suggested that food sharing is maintained solely by indirect fitness because non-kin food sharing could have resulted from kin recognition errors, indiscriminate altruism within groups, or harassment. To test these alternatives, we examined predictors of food-sharing decisions under controlled conditions of mixed relatedness and equal familiarity. Over a 2 year period, we individually fasted 20 vampire bats (Desmodus rotundus) and induced food sharing on 48 days. Surprisingly, donors initiated food sharing more often than recipients, which is inconsistent with harassment. Food received was the best predictor of food given across dyads, and 8.5 times more important than relatedness. Sixty-four per cent of sharing dyads were unrelated, approaching the 67 per cent expected if nepotism was absent. Consistent with social bonding, the food-sharing network was consistent and correlated with mutual allogrooming. Together with past work, these findings support the hypothesis that food sharing in vampire bats provides mutual direct fitness benefits, and is not explained solely by kin selection or harassment.

Predictors of food and physical activity patterns among schoolchildren in the region of Sousse, Tunisia

To facilitate the improvement of future interventions, it's important to know the determinants of healthy behaviors. Our aim was to determine the predictors of healthy habits in a school based intervention study to promote healthy diet and physical activity among schoolchildren in the region of Sousse, Tunisia. It was a quasi-experimental intervention study with two groups: control and intervention group with pre-post evaluation of nutrition and physical activity intention and behavior in each group. The target population was composed with students aged 12-16 years schooled in colleges of Sousse in Tunisia. To evaluate the intervention, a sampling was used to include 2200 students who participated to the questionnaire. All the students of intervention group received a standardized program with information about healthy nutrition and physical activity. An Arabic pre-tested and auto-administered questionnaire was used to assess nutrition and physical activity intention and behavior before and after the intervention. The intervention group's posttest knowledge and behavioral intention were significantly higher than the control group's posttest. No significant differences occurred in posttest attitudes between the control and intervention groups. A multivariate logistic regression models were used to identify the predictors of students' "healthy behavior". This school based intervention improved eating and physical activity intentions and behaviors among schoolchildren. "Healthy behaviors' were determined by age, father's profession and home characteristics. This finding could direct future interventions to disadvantaged categories.

The S-R information stream: where's the filter?

Pavlovian conditioning procedures, in which events such as tastes, lights, and sounds become predictors of food, water, and shocks, have been used for studying the role of the information filter in the selection of conditioned responses. Different models posit the filter at different locations in the S-R stream, but most models suggest either a pre-encoding filter, in which much information is discarded at an early stage of processing, or a post-encoding filter, in which the information is stored but not subsequently expressed in behavior. A selective review of the literature on cue-competition effects reveals a plethora of phenomena that support a post-encoding, but not a pre-encoding filter in Pavlovian processes.