Fast food outlets, physical activity facilities, and obesity among adults: a nationwide longitudinal study from Sweden

Associations of takeaway outlets with takeaway food consumption and adiposity: longitudinal analysis of the Fenland cohort

OBJECTIVE

This study builds on prior findings that link increased availability of takeaway food outlets in home, workplace, and commuting environments to greater takeaway consumption and adiposity. Using longitudinal data, we examine associations of takeaway availability at baseline with changes in consumption and adiposity between baseline and follow-up.

METHODS

We analyzed data from the Fenland Study, with baseline data from 2005 to 2015 and follow-up from 2015 to 2020. Takeaway outlet availability within 1 mile of participants' home and workplace addresses, based on 2011 local authority data, was assessed. Outcomes included takeaway food consumption (from a food frequency questionnaire) and body fat percentage (measured via dual-energy x-ray absorptiometry) at follow-up.

RESULTS

Among 7581 participants (mean [SD] age, 49.3 [7.4] years) with a mean follow-up of 6.7 years, no positive association was found between takeaway outlet availability at baseline and changes in consumption or body fat percentage. However, among the 12 associations tested, the highest combined home-workplace availability of takeaway outlets, compared with none, was associated with a 0.68 decrease in body fat percentage (95% CI: 0.24-1.12).

CONCLUSIONS

Although takeaway outlet availability was linked to greater consumption and adiposity at baseline, it did not predict changes over time, underscoring the complexity of dietary behaviors and their relationship with the neighborhood food environment.

Food deserts exposure, density of fast-food restaurants, and park access: Exploring the association of food and recreation environments with obesity and diabetes using global and local regression models

To prevent obesity and diabetes environmental interventions such as eliminating food deserts, restricting proliferation of food swamps, and improving park access are essential. In the United States, however, studies that examine the food and park access relationship with obesity and diabetes using both global and local regression are lacking. To guide county, state, and federal policy in combating obesity and diabetes, there is a need for cross-scale analyses to identify that relationship at national and local levels. This study applied spatial regression and geographically weighted regression to the 3,108 counties in the contiguous United States. Global regression show food deserts exposure and density of fast-food restaurants have non-significant association with obesity and diabetes while park access has a significant inverse association with both diseases. Geographically weighted regression that takes into account spatial heterogeneity shows that, among southern states that show high prevalence of obesity and diabetes, Alabama and Mississippi stand out as having opportunity to improve park access. Results suggest food deserts exposure are positively associated with obesity and diabetes in counties close to Alabama, Georgia, and Tennessee while density of fast-food restaurants show positive association with two diseases in counties of western New York and northwestern Pennsylvania. These findings will help policymakers and public health agencies in determining which geographic areas need to be prioritized when implementing public interventions such as promoting healthy food access, limiting unhealthy food options, and increasing park access.

Area-level socioeconomic inequalities in overweight and obesity: Systematic review on moderation by built-environment attributes

Residents of lower socioeconomic status (SES) areas are at a higher risk of overweight/obesity than those from higher SES areas. Built environment attributes may mitigate such inequalities. This systematic review synthesised findings of studies examining built environment attributes as potential moderators of the associations between area-level SES and overweight/obesity in adults. From five databases, nine eligible studies were identified. The SES-overweight/obesity relationship was stronger in inner areas and suburbs of large cities, while it was weaker in more rural areas. Two studies examined walkability and reported contrasting findings: no moderation in one and marginally significant moderation (less inequality in higher walkability areas) in the other. No evidence of moderation was found for street connectivity, population density, the food environment, access to physical activity facilities and several perceived environmental attributes. Further research is needed on other built environment attributes (e.g., access to, quantity and quality of green spaces, active transport features), and ideally using prospective study designs and objective makers of adiposity.

Neighborhood deprivation and morbid obesity: Insights from the Houston Methodist Cardiovascular Disease Health System Learning Registry

This study examined the relationship between a validated measure of socioeconomic deprivation, such as the Area Deprivation Index (ADI), and morbid obesity. We used cross-sectional data on adult patients (≥18 years) in the Houston Methodist Cardiovascular Disease Health System Learning Registry (located in Houston, Texas, USA) between June 2016 and July 2021. Each patient was grouped by quintiles of ADI, with higher quintiles signaling greater deprivation. BMI was calculated using measured height and weight with morbid obesity defined as ≥ 40 kg/m². Multivariable logistic regression models were used to examine the association between ADI and morbid obesity adjusting for demographic (age, sex, and race/ethnicity) factors. Out of the 751,174 adults with an ADI ranking included in the analysis, 6.9 % had morbid obesity (n = 51,609). Patients in the highest ADI quintile had a higher age-adjusted prevalence (10.9 % vs 3.3 %), and about 4-fold odds (aOR, 3.8; 95 % CI = 3.6, 3.9) of morbid obesity compared to the lowest ADI quintile. We tested for and found interaction effects between ADI and each demographic factor, with stronger ADI-morbid obesity association observed for patients that were female, Hispanic, non-Hispanic White and 40-65 years old. The highest ADI quintile also had a high prevalence (44 %) of any obesity (aOR, 2.2; 95 % CI = 2.1, 2.2). In geospatial mapping, areas with higher ADI were more likely to have higher proportion of patients with morbid obesity. Census-based measures, like the ADI, may be informative for area-level obesity reduction strategies as it can help identify neighborhoods at high odds of having patients with morbid obesity.

Associations between neighborhood built environment, residential property values, and adult BMI change: The Seattle Obesity Study III

Objective

To examine associations between neighborhood built environment (BE) variables, residential property values, and longitudinal 1- and 2-year changes in body mass index (BMI).

Methods

The Seattle Obesity Study III was a prospective cohort study of adults with geocoded residential addresses, conducted in King, Pierce, and Yakima Counties in Washington State. Measured heights and weights were obtained at baseline (n = 879), year 1 (n = 727), and year 2 (n = 679). Tax parcel residential property values served as proxies for individual socioeconomic status. Residential unit and road intersection density were captured using Euclidean-based SmartMaps at 800 m buffers. Counts of supermarket (0 versus. 1+) and fast-food restaurant availability (0, 1–3, 4+) were measured using network based SmartMaps at 1600 m buffers. Density measures and residential property values were categorized into tertiles. Linear mixed-effects models tested whether baseline BE variables and property values were associated with differential changes in BMI at year 1 or year 2, adjusting for age, gender, race/ethnicity, education, home ownership, and county of residence. These associations were then tested for potential disparities by age group, gender, race/ethnicity, and education.

Results

Road intersection density, access to food sources, and residential property values were inversely associated with BMI at baseline. At year 1, participants in the 3rd tertile of density metrics and with 4+ fast-food restaurants nearby showed less BMI gain compared to those in the 1st tertile or with 0 restaurants. At year 2, higher residential property values were predictive of lower BMI gain. There was evidence of differential associations by age group, gender, and education but not race/ethnicity.

Conclusion

Inverse associations between BE metrics and residential property values at baseline demonstrated mixed associations with 1- and 2-year BMI change. More work is needed to understand how individual-level sociodemographic factors moderate associations between the BE, property values, and BMI change.

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Strong, inverse cross-sectional relationships between the built environment, residential property values (a proxy for individual socioeconomic status), and measured BMI were observed.

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Measures of the built environment and residential property values showed modest and inconsistent associations with 1- and 2-year BMI change.

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There was suggestive evidence that age may moderate the association between urban density and 1- and 2-year BMI change while education may moderate the association between residential property values and 2-year BMI change.

Investigating the Association between Unhealthy Dietary Habits and Obesity among Libyan Adults

BACKGROUND

Although an increasing number of studies have reported on nutrition transition and unhealthy eating habits (UEHs) worldwide, there is a paucity of studies on UEHs in the Arab region, particularly in Libya. Aim: This study investigated the associations between obesity among Libyan adults and UEHs. Methods: A cross-sectional survey was conducted at the five major districts in Benghazi, Libya. A multistage cluster sampling strategy was implemented to choose and recruit Libyan adults. Anthropometric measurements were gathered by highly qualified nurses, using the Segmental Body Composition Monitor and a portable Stadiometer. The study used and adapted the two Self-administered questionnaires: the WHO STEPS Instrument and eating behaviors linked with obesity questionnaire. Results: Among a total of 401 participants who were successfully recruited in this study, 253 (63%) were female (aged 20-65 years), the response rate achieved was 78%. The prevalence of obesity amongst Libyan adults was estimated to be 42.4%. The results revealed the presence of a significant association between obesity (BMI ≥ 30 kg/m2) and five UEHs for Libyan men and six UEHs for Libyan women. For Libyan men, an association was found between obesity and the following five explanatory factors: fast food intake in a day and a week, which were (OR: 2.52, 95% CI: 4.04-12.32) and (OR: 4.65, 95% CI: 1.04-9.46), respectively; large food portion sizes consumed at one sitting (OR: 19.54, 95% CI: 1.41-27.74); a high frequency of skipping breakfast either in a typical day or a week, which were (OR: 0.02, 95% CI: 0.01-0.77) and (OR: 0.03, 95% CI: 0.01-0.24), respectively. For Libyan women, a significant association was found between obesity and the following six explanatory factors: fast food intake in a day and a week, which were (OR: 2.14, 95% CI: 3.32-11.12) and (OR: 5.5, 95% CI: 1.88-16.11), respectively; intake of sugar-sweetened beverages in a typical week (OR: 4.02, 95% CI: 1.35-11.99); and large food portion sizes consumed at one sitting at one sitting (OR: 3.40, 95% CI: 1.18-9.84); and a high frequency of skipping breakfast either in a typical day or a week, which were (OR: 0.11, 95% CI: 0.03-0.43) and (OR: 0.12, 95% CI: 0.08-0.63), respectively. Conclusions: The findings of the study reveal areas of action for Libyan researchers, clinicians, policymakers, and government officials about UEHs in the Libyan context. This could inform establishing and developing new interventions for preventing and controlling the obesity epidemic through food system improvements.

Does the built environment have independent obesogenic power? Urban form and trajectories of weight gain

OBJECTIVE

To determine whether selected features of the built environment can predict weight gain in a large longitudinal cohort of adults.

METHODS

Weight trajectories over a 5-year period were obtained from electronic health records for 115,260 insured patients aged 18-64 years in the Kaiser Permanente Washington health care system. Home addresses were geocoded using ArcGIS. Built environment variables were population, residential unit, and road intersection densities captured using Euclidean-based SmartMaps at 800-m buffers. Counts of area supermarkets and fast food restaurants were obtained using network-based SmartMaps at 1600, and 5000-m buffers. Property values were a measure of socioeconomic status. Linear mixed effects models tested whether built environment variables at baseline were associated with long-term weight gain, adjusting for sex, age, race/ethnicity, Medicaid insurance, body weight, and residential property values.

RESULTS

Built environment variables at baseline were associated with differences in baseline obesity prevalence and body mass index but had limited impact on weight trajectories. Mean weight gain for the full cohort was 0.06 kg at 1 year (95% CI: 0.03, 0.10); 0.64 kg at 3 years (95% CI: 0.59, 0.68), and 0.95 kg at 5 years (95% CI: 0.90, 1.00). In adjusted regression models, the top tertile of density metrics and frequency counts were associated with lower weight gain at 5-years follow-up compared to the bottom tertiles, though the mean differences in weight change for each follow-up year (1, 3, and 5) did not exceed 0.5 kg.

CONCLUSIONS

Built environment variables that were associated with higher obesity prevalence at baseline had limited independent obesogenic power with respect to weight gain over time. Residential unit density had the strongest negative association with weight gain. Future work on the influence of built environment variables on health should also examine social context, including residential segregation and residential mobility.

Complementary and Integrative Health Approaches for Weight Management in the Obese Population: The 2018 Korea National Health and Nutrition Examination Survey

(1) Background: Obesity management has become an important issue due to the COVID-19 outbreak; therefore, periodic surveys on the approaches to obesity management of the entire population and target obese population are required. (2) Methods: The study used nationally representative data from the 2018 Korea National Health and Nutrition Examination Survey. Participants reported all approaches they had used to reduce or maintain weight in the past year. Data were analyzed with multiple response methods. (3) Results: The most commonly reported approach was exercise, which included fitness, yoga, biking, and other physical activities (74.7% of respondents), and the second most commonly reported approach was decreased food intake (69.6% of respondents). The use of approaches differed according to respondents’ demographic characteristics. Regarding sex-related differences, in particular, men preferred to exercise, while women were more likely to decrease food intake. Among men, exercise was highest in the 40–49 years age group (48.3%). Among women, decreased food intake was highest in the same age group (16.1%). (4) Conclusions: These findings indicate that it is necessary to introduce individualized weight management approaches and measures according to target groups in obese adults.

Findings from Studies Are Congruent with Obesity Having a Viral Origin, but What about Obesity-Related NAFLD?

Infection has recently started receiving greater attention as an unusual causative/inducing factor of obesity. Indeed, the biological plausibility of infectobesity includes direct roles of some viruses to reprogram host metabolism toward a more lipogenic and adipogenic status. Furthermore, the probability that humans may exchange microbiota components (virome/virobiota) points out that the altered response of IFN and other cytokines, which surfaces as a central mechanism for adipogenesis and obesity-associated immune suppression, is due to the fact that gut microbiota uphold intrinsic IFN signaling. Last but not least, the adaptation of both host immune and metabolic system under persistent viral infections play a central role in these phenomena. We hereby discuss the possible link between adenovirus and obesity-related nonalcoholic fatty liver disease (NAFLD). The mechanisms of adenovirus-36 (Ad-36) involvement in hepatic steatosis/NAFLD consist in reducing leptin gene expression and insulin sensitivity, augmenting glucose uptake, activating the lipogenic and pro-inflammatory pathways in adipose tissue, and increasing the level of macrophage chemoattractant protein-1, all of these ultimately leading to chronic inflammation and altered lipid metabolism. Moreover, by reducing leptin expression and secretion Ad-36 may have in turn an obesogenic effect through increased food intake or decreased energy expenditure via altered fat metabolism. Finally, Ad-36 is involved in upregulation of cAMP, phosphatidylinositol 3-kinase, and p38 signaling pathways, downregulation of Wnt10b expression, increased expression of CCAAT/enhancer binding protein-beta, and peroxisome proliferator-activated receptor gamma 2 with consequential lipid accumulation.

The Relationship Between Sugar-Sweetened Beverages, Takeaway Dietary Pattern, and Psychological and Behavioral Problems Among Children and Adolescents in China

Background and Aim: The association of sugar-sweetened beverage (SSB) consumption and takeaway dietary pattern with psychological problems in Chinese children and adolescents has not been concretely reported. Our study aimed to investigate the association between SSB consumption, takeaway dietary pattern, and psychological and behavioral problems (PBPs). Methods: Cluster sampling method has been adopted from April to May 2019 to conduct a questionnaire survey among 30,188 children and adolescents in grades 1 to 12 from 14 schools in six streets in Bao'an District of Shenzhen. This cross-sectional study investigated the association of consumption of SSBs and takeaway patterns with PBPs, and PBPs were measured by the Strengths and Difficulties Questionnaire (SDQ) in primary, junior, and senior high school students. Results: A total of 33,801 primary, junior, and senior high school students (mean age = 12.44, SD = 3.47) ranging from 6 to 18 years old were recruited in this study using a health survey of children and adolescents in junior and senior high schools (grades 1-12), and 30,188 students with no missing data were finally analyzed (questionnaires with missing value >5% were excluded). The top three SSBs in the intake frequency were milk beverage drinks (not milk), vegetable protein drinks, and fruit and vegetable juice drinks. Adjusted for demographic factors, the higher the frequency of students consuming SSBs who have significantly higher PBPs, the higher the frequency of students with takeaway dietary patterns who also have significantly higher PBPs. More frequent intake of SSBs [odds ratio (OR) = 2.23, 95%CI = 2.0-2.47, p < 0.01] and higher takeaway dietary patterns (OR = 2.34, 95%CI = 1.81-3.03, p < 0.01) were associated with higher SDQ total difficulties scores. When low and medium consumption of SSB was compared, children and adolescents who have high SSB intake were more associated with total difficulties score (OR = 3.10, 95%CI = 2.67-3.59, p < 0.01), and when low and medium takeaway dietary patterns were compared, children and adolescents who have high takeaway dietary patterns were more associated with total difficulties score. The joint associations of SSBs and takeaway pattern with SDQ were stronger than the associations individually. Conclusions: Students consuming higher SSBs and having takeaway dietary pattern are associated with increased levels of PBPs individually and interactively. These results may have implications for mental health prevention in adolescents.

Junk Food on Demand: A Cross-Sectional Analysis of the Nutritional Quality of Popular Online Food Delivery Outlets in Australia and New Zealand

The demand for convenience and the increasing role of digital technology in everyday life has fueled the use of online food delivery services (OFD’s), of which young people are the largest users globally. OFD’s are disrupting traditional food environments, yet research evaluating the public health implications of such services is lacking. We evaluated the characteristics and nutritional quality of popular food outlets on a market-leading platform (UberEATS^®) in a cross-sectional observational study conducted in two international cities: Sydney (Australia) and Auckland (New Zealand). A systematic search using publicly available population-level data was used to identify geographical areas with above-average concentrations (>30%) of young people (15–34-years). A standardized data extraction protocol was used to identify the ten most popular food outlets within each area. The nutritional quality of food outlets was assessed using the Food Environment Score (FES) (range: −10 ‘unhealthiest’ to 10 ‘healthiest’). Additionally, the most popular menu items from each food outlet were classified as discretionary or core foods/beverages according to the Australian Dietary Guidelines. The majority of popular food outlets were classified as ‘unhealthy’ (FES range −10 to −5; 73.5%, 789/1074) and were predominately takeaway franchise stores (59.6%, 470/789, e.g., McDonald’s^®). 85.9% of all popular menu items were discretionary (n = 4958/5769). This study highlights the pervasion and accessibility of discretionary foods on OFD’s. This study demonstrated that the most popular food outlets on the market-leading online food delivery service are unhealthy and popular menu items are mostly discretionary foods; facilitating the purchase of foods of poor nutritional quality. Consideration of OFD’s in public health nutrition strategies and policies in critical.