An economic analysis of community-level fast food prices and individual-level fast food intake: a longitudinal study.
Ontology highlight
ABSTRACT:
SUBMITTER: Gordon-Larsen P
PROVIDER: S-EPMC3190083 | biostudies-literature | 2011 Nov
REPOSITORIES: biostudies-literature
Publications
An economic analysis of community-level fast food prices and individual-level fast food intake: a longitudinal study.
Gordon-Larsen Penny P Guilkey David K DK Popkin Barry M BM
Health & place 20110804 6
<h4>Background</h4>While dietary intake is shaped by cost, there is minimal research on the association between community-level food prices and dietary intake.<h4>Methods</h4>We used nationally representative, longitudinal data to examine how community-level food price variation was associated with individual-level fast food intake by race/ethnicity and income across waves II (1996) and III (2001-2002) of the National Longitudinal Study of Adolescent Health (n=11,088) from 158 baseline and 363 f ...[more]
Similar Datasets
Project description:BackgroundReducing disease can maintain personal individual income and improve societal economic productivity. However, estimates of income loss for multiple diseases simultaneously with thorough adjustment for confounding are lacking, to our knowledge. We estimate individual-level income loss for 40 conditions simultaneously by phase of diagnosis, and the total income loss at the population level (a function of how common the disease is and the individual-level income loss if one has the disease).Methods and findingsWe used linked health tax data for New Zealand as a high-income country case study, from 2006 to 2007 to 2015 to 2016 for 25- to 64-year-olds (22.5 million person-years). Fixed effects regression was used to estimate within-individual income loss by disease, and cause-deletion methods to estimate economic productivity loss at the population level. Income loss in the year of diagnosis was highest for dementia for both men (US$8,882; 95% CI $6,709 to $11,056) and women ($7,103; $5,499 to $8,707). Mental illness also had high income losses in the year of diagnosis (average of about $5,300 per year for males and $4,100 per year for females, for 4 subcategories of: depression and anxiety; alcohol related; schizophrenia; and other). Similar patterns were evident for prevalent years of diagnosis. For the last year of life, cancers tended to have the highest income losses, (e.g., colorectal cancer males: $17,786, 95% CI $15,555 to $20,018; females: $14,192, $12,357 to $16,026). The combined annual income loss from all diseases among 25- to 64-year-olds was US$2.72 billion or 4.3% of total income. Diseases contributing more than 4% of total disease-related income loss were mental illness (30.0%), cardiovascular disease (15.6%), musculoskeletal (13.7%), endocrine (8.9%), gastrointestinal (7.4%), neurological (6.5%), and cancer (4.5%). The limitations of this study include residual biases that may overestimate the effect of disease on income loss, such as unmeasured time-varying confounding (e.g., divorce leading to both depression and income loss) and reverse causation (e.g., income loss leading to depression). Conversely, there may also be offsetting underestimation biases, such as income loss in the prodromal phase before diagnosis that is misclassified to "healthy" person time.ConclusionsIn this longitudinal study, we found that income loss varies considerably by disease. Nevertheless, mental illness, cardiovascular, and musculoskeletal diseases stand out as likely major causes of economic productivity loss, suggesting that they should be prioritised in prevention programmes.
| S-EPMC8631646 | biostudies-literature
Project description:Food prices are expected to affect dietary intakes, however, previous findings are mixed and few are based on nationally representative data. We examined the associations of price indices of fast foods (FF-PI) and fruits and vegetables (FV-PI) with dietary intakes and BMI among U.S. children and adolescents using data from the Continuing Survey of Food Intakes by Individuals (CSFII; 1994-1998) for 6759 children (2-9 y) and 1679 adolescents (10-18 y). FF-PI and FV-PI were linked to individuals' CSFII dietary data through city-level geocodes. Main outcomes included intakes of selected nutrients and food groups, a fast food consumption index (FF-CI), diet quality using the 2005 Healthy Eating Index (HEI), and BMI. Among children (2-9 y), a higher FF-PI (by $1) was associated with intakes of lower FF-CI (? ± SE: -0.9 ± 0.3 count/d), higher HEI (6.6 ± 2.5), higher intakes of fiber (2.7 ± 0.7 g/d), calcium (225.7 ± 52.3 mg/d), dairy (172.5 ± 36.2 g/d), and fruits and vegetables (113.3 ± 23.4 cup equivalents/d). FV-PI was inversely related to fiber intake (? ± SE: -3.3 ± 1.5 g/d) and positively associated with BMI (4.3 ± 1.2 kg/m(2)). Less consistent findings were ascribed to FV-PI and among adolescents (10-18 y). Significant associations were almost equally balanced between low and high family income groups, with some significant interactions between food prices and family income observed, particularly among children (2-9 y). Our findings suggest that among U.S. children aged 2-9 y, higher FF-PI is associated with better dietary quality, whereas higher FV-PI is linked to higher BMI and lower fiber intake. Associations varied by family income in children for many dietary intake variables.
| S-EPMC3021450 | biostudies-literature
Project description:BackgroundFood advertising is a major contributor to obesity, and fast food (FF) restaurants are top advertisers. Research on the impact of food advertising in adolescents is lacking and no prior research has investigated neural predictors of food intake in adolescents. Neural systems implicated in reward could be key to understanding how food advertising drives food intake.ObjectivesTo investigate how neural responses to both unhealthy and healthier FF commercials predict food intake in adolescents.MethodsA cross-sectional sample of 171 adolescents (aged 13-16 y) who ranged from normal weight to obese completed an fMRI paradigm where they viewed unhealthy and healthier FF and nonfood commercials. Adolescents then consumed a meal in a simulated FF restaurant where foods of varying nutritional profiles (unhealthy compared with healthier) were available.ResultsGreater neural activation in reward-related regions (nucleus accumbens, r = 0.29; caudate nucleus, r = 0.27) to unhealthy FF commercials predicted greater total food intake. Greater responses to healthier FF relative to nonfood commercials in regions associated with reward (i.e., nucleus accumbens, r = 0.24), memory (i.e., hippocampus, r = 0.32), and sensorimotor processes (i.e., anterior cerebellum, r = 0.33) predicted greater total food and unhealthier food intake, but not healthier food intake. Lower activation in neural regions associated with visual attention and salience (e.g., precuneus, r = -0.35) to unhealthy relative to healthier FF commercials predicted healthier food intake.ConclusionsThese findings suggest that FF commercials contribute to overeating in adolescents through reward mechanisms. The addition of healthier commercials from FF restaurants is unlikely to encourage healthier food intake, but interventions that reduce the ability of unhealthy FF commercials to capture attention could be beneficial. However, an overall reduction in the amount of FF commercials exposure for adolescents is likely to be the most effective approach.
| S-EPMC7049532 | biostudies-literature
Project description:Animal experiments have demonstrated that diets high in fats create a harmful environment for developing sperm cells, contributing to impaired reproductive health and induced risk for chronic diseases in the next generation. Changes at the level of the epigenome have been suggested to underlie these observations. Human data are limited to verify this hypothesis. While we earlier demonstrated a link between male obesity and DNA methylation changes at imprinted genes in mature sperm cells and newborns, it is currently unknown if -or how- a paternal eating pattern (related to obesity) is related to indices for epigenetic inheritance. We here aim to examine a yet unexplored link between consumption of healthy (rich in vitamins and fibers) or unhealthy ("fast") foods and methylation at imprint regulatory regions in DNA of sperm. We obtained semen and data from 67 men, as part of a North Carolina-based study: The Influence of the Environment on Gametic Epigenetic Reprogramming (TIEGER) study. Dietary data included intake of fruits/nuts, vegetables/soups, whole grain bread, meat, seafood/fish, and fatty or processed food items. Multiple regression models were used to explore the association between dietary habits and clinical sperm parameters as well as DNA methylation levels, quantified using bisulfite pyrosequencing at 12 differentially methylated regions (DMRs) of the following imprinted genes: GRB10, IGF2, H19, MEG3, NDN, NNAT, PEG1/MEST, PEG3, PLAGL1, SNRPN, and SGCE/PEG10. After adjusting for age, obesity status and recruitment method, we found that Total Motile Count (TMC) was significantly higher if men consumed fruits/nuts (β=+6.9, SE=1.9, p=0.0005) and vegetables (β=+5.4, SE=1.9, p=0.006), whereas consumption of fries was associated with lower TMC (β=-20.2, SE=8.7, p=0.024). Semen volume was also higher if vegetables or fruits/nuts were frequently consumed (β=+0.06, SE=0.03, p=0.03). Similarly, our sperm epigenetic analyses showed opposing associations for healthy versus fast food items. Frequent consumption of fries was related to a higher chance of sperm being methylated at the MEG3-IG CpG4 site (OR=1.073, 95%CI: 1.035-1.112), and high consumption of vegetables was associated with a lower risk of DNA methylation at the NNAT CpG3 site (OR=0.941, 95%CI: 0.914-0.968). These results remained significant after adjusting for multiple testing. We conclude that dietary habits are linked to sperm epigenetic outcomes. If carried into the next generation paternal unhealthy dietary patterns may result in adverse metabolic conditions and increased risk for chronic diseases in offspring.
| S-EPMC8103543 | biostudies-literature
Project description:To fully understand the role of microbiome in human health and diseases, researchers are increasingly interested in assessing the relationship between microbiome composition and host genomic data. The dimensionality of the data as well as complex relationships between microbiota and host genomics pose considerable challenges for analysis. In this article, we apply a kernel RV coefficient (KRV) test to evaluate the overall association between host gene expression and microbiome composition. The KRV statistic can capture nonlinear correlations and complex relationships among the individual data types and between gene expression and microbiome composition through measuring general dependency. Testing proceeds via a similar route as existing tests of the generalized RV coefficients and allows for rapid p-value calculation. Strategies to allow adjustment for confounding effects, which is crucial for avoiding misleading results, and to alleviate the problem of selecting the most favorable kernel are considered. Simulation studies show that KRV is useful in testing statistical independence with finite samples given the kernels are appropriately chosen, and can powerfully identify existing associations between microbiome composition and host genomic data while protecting type I error. We apply the KRV to a microbiome study examining the relationship between host transcriptome and microbiome composition within the context of inflammatory bowel disease and are able to derive new biological insights and provide formal inference on prior qualitative observations.
| S-EPMC5592124 | biostudies-literature
Project description:BACKGROUND:Early adulthood is a period of rapid personal development when individuals experience major life transitions (e.g. leaving the parental home, leaving education, beginning employment, cohabitation and parenthood). Changes in social and physical environments associated with these transitions may influence development of health-related behaviours. Consumption of fast food is one behaviour associated with poor diet and long-term health outcomes. In this study we assess how frequency of fast food consumption changes across early adulthood, and how major life transitions are associated with changes in fast food intake. METHODS:Data were collected across four waves of the Project EAT study, from mean age 14.9 (SD?=?1.6) to mean age 31.1 (SD?=?1.6) years. Participants reporting data at two or more waves were included (n?=?2902). Participants reported past week frequency of eating food from a fast food restaurant and responded to questions on living arrangements, education and employment participation, and having children. To assess changes in fast food we developed a latent growth model incorporating an underlying trajectory of fast food intake, five life transitions, and time-invariant covariates. RESULTS:Mean fast food intake followed an underlying quadratic trajectory, increasing through adolescence to a maximum of 1.88 (SE 0.94) times/week and then decreasing again through early adulthood to 0.76 (SE 2.06) times/week at wave 4. Beginning full-time employment and becoming a parent both contributed to increases in fast food intake, each resulting in an average increase in weekly fast food intake of 0.16 (p?<?0.01) times/week. Analysis of changes between pairs of waves revealed stronger associations for these two transitions between waves 1-2 (mean age 14.9-19.4?years) than seen in later waves. Leaving the parental home and beginning cohabitation were associated with decreases in fast food intake of -?0.17 (p?=?0.004) and?-?0.16 (p?=?0.007) times/week respectively, while leaving full-time education was not associated with any change. CONCLUSIONS:The transitions of beginning full-time employment and becoming a parent were associated with increases in fast food intake. Public health policy or interventions designed to reduce fast food intake in young adults may benefit from particular focus on populations experiencing these transitions, to ameliorate their impact.
| S-EPMC7547405 | biostudies-literature
Project description:BackgroundHigh food prices have emerged as a major global challenge, especially for poor and urban households in low-income countries such as Ethiopia. However, there is little empirical evidence on urban food security and how people living in urban areas are coping with sustained high food prices. This study aims to address this gap by investigating the food insecurity situation in urban Ethiopia -a country experiencing sustained high food prices, high rates of urban poverty, and a growing urban population.MethodsA community based cross-sectional study was conducted from January 18 to February 14, 2012. A total of 550 households were selected from three sub-cities of Addis Ababa using three-stage sampling technique. Data were collected using questionnaire based interview with household heads. Items in the questionnaire include, among others, basic socioeconomic variables, dietary diversity and coping strategies. Food security status of households was assessed by a Household Food Insecurity Access Score. Data analysis was done using SPSS software and both univariate and bivariate analysis were done.ResultsThe study found that 75% of households were food insecure and 23% were in a state of hunger. Households with higher food insecurity scores tend to have lower dietary diversity and are less likely to consume high quality diets. Reduction in meal size and shifting to poor quality/less expensive/food types were among the common coping strategies to high food price used by households. Household incomes, occupational and educational status of household heads were significant determinants of food security.ConclusionFood insecurity in Ethiopia is not only a rural problem. Urban food insecurity is a growing concern due to the toxic combination of high rates of urban poverty, high dependency of urban households on food supplied by the market, and fluctuating food prices. Household food insecurity was particularly high among low income households and those headed by uneducated, daily wagers and government employed household heads. Therefore, policy makers should work on stabilization of the food market and creating opportunities that could improve the livelihood and purchasing power of urban households.
| S-EPMC4227136 | biostudies-literature
Project description:BackgroundMultiple chronic conditions may erode physical functioning, particularly in the context of complex self-management demands and depressive symptoms. Yet, little is known about how discordant conditions (i.e., those with management requirements that are not directly related and increase care complexity) among couples are linked to functional disability.PurposeWe evaluated own and partner individual-level discordant conditions (i.e., discordant conditions within individuals) and couple-level discordant conditions (i.e., discordant conditions between spouses), and their links to levels of and change in functional disability.MethodsThe U.S. sample included 3,991 couples drawn from nine waves (1998-2014) of the Health and Retirement Study. Dyadic growth curve models determined how individual-level and couple-level discordant conditions were linked to functional disability over time, and whether depressive symptoms moderated these links. Models controlled for age, minority status, education, each partner's baseline depressive symptoms, and each partner's number of chronic conditions across waves.ResultsWives and husbands had higher initial disability when they had their own discordant conditions and when there were couple-level discordant conditions. Husbands also reported higher initial disability when wives had discordant conditions. Wives had a slower rate of increase in disability when there were couple-level discordant conditions. Depressive symptoms moderated links between disability and discordant conditions at the individual and couple levels.ConclusionsDiscordant chronic conditions within couples have enduring links to disability that partly vary by gender and depressive symptoms. These findings generate valuable information for interventions to maintain the well-being of couples managing complex health challenges.
| S-EPMC7291341 | biostudies-literature
Project description:BACKGROUND:The World Health Organization recommends a minimum of 33 months between two consecutive live births to reduce the risk of adverse maternal and child health outcomes. However, determinants of short birth interval have not been well understood in Ethiopia. OBJECTIVE:The aim of this study was to assess individual- and community-level determinants of short birth interval among women in Ethiopia. METHODS:A detailed analysis of the 2016 Ethiopian Demographic and Health Survey data was performed. A total of 8,448 women were included in the analysis. A two-level multilevel logistic regression analysis was used to identify associated individual- and community-level factors and estimate between-community variance. RESULTS:At the individual-level, women aged between 20 and 24 years at first marriage (AOR = 1.37; 95% CI: 1.18-1.60), women aged between 25 and 29 years at first marriage (AOR = 1.65; 95% CI: 1.20-2.25), having a husband who attended higher education (AOR = 1.32; 95% CI: 1.01-1.73), being unemployed (AOR = 1.16; 95% CI: 1.03-1.31), having an unemployed husband (AOR = 1.23; 95% CI: 1.04-1.45), being in the poorest wealth quintile (AOR = 1.82; 95% CI: 1.39-2.39), being in the poorer wealth quintile (AOR = 1.58; 95% CI: 1.21-2.06), being in the middle wealth quintile (AOR = 1.61; 95% CI: 1.24-2.10), being in the richer wealth quintile (AOR = 1.54; 95% CI: 1.19-2.00), increased total number of children born before the index child (AOR = 1.07; 95% CI: 1.03-1.10) and death of the preceding child (AOR = 1.97; 95% CI: 1.59-2.45) were associated with increased odds of short birth interval. At the community-level, living in a pastoralist region (AOR = 2.01; 95% CI: 1.68-2.39), being a city dweller (AOR = 1.75; 95% CI: 1.38-2.22), high community-level female illiteracy (AOR = 1.23; 95% CI: 1.05-1.45) and increased distance to health facilities (AOR = 1.32; 95% CI: 1.11-1.56) were associated with higher odds of experiencing short birth interval. Random effects showed significant variation in short birth interval between communities. CONCLUSION:Determinants of short birth interval are varied and complex. Multifaceted intervention approaches supported by policy initiatives are required to prevent short birth interval.
| S-EPMC6959604 | biostudies-literature
Project description:IntroductionSkilled birth attendant (SBA) delivery is defined as assisting birth by a trained healthcare provider, which is vital for the health of mothers and newborns. Improving maternal health is one of the world health organization's (WHO) key priorities and skilled birth attendant delivery is one of the four pillars of the initiative for safe motherhood to reduce maternal mortality. Therefore, this study aimed to assess the individual and community-level factors associated with SBA delivery in Ethiopia.MethodA secondary data analysis was conducted using the 2019 Mini Ethiopian demographic and health survey. A total of 5,527 (weighted) live births were included in the analysis. A multi-level logistic regression model was fitted using Stata 14.0 to identify individual and community-level factors associated with SBA delivery. Finally, AOR with 95% CI and random effects were reported.ResultIn this study after fitting a multilevel model, women with poor (AOR = 0.44 95%CI 0.32-0.61) and middle wealth index (AOR = 0.64;95% CI 0.46-0.87), multipara (AOR = 0.39;95% CI 0.28-0.55) and grand multipara (AOR = 0.46;95% CI 0.29-0.72), women from rural areas (AOR = 0.34;95% CI 0.16-0.72) and high community poverty level (AOR = 0.40;95% CI 0.21-0.76) had decreased odds of having SBA delivery. Whereas those who initiated Antenatal care (ANC) visits in the first trimester (AOR = 2.65; 95% CI 1.52-4.65) and second trimester (AOR = 1.87:95%CI 1.09-3.20) had increased odds of having SBA delivery in Ethiopia.ConclusionIn this study socioeconomic factors like wealth index, parity, the timing of ANC visits, place of residency, and community poverty level were significantly associated with SBA delivery. Therefore, it is better to increase timely ANC initiation particularly for women with low levels of income to improve skilled birth attendant delivery.
| S-EPMC10393148 | biostudies-literature