What Is Driving Obesity? A Review on the Connections Between Obesity and Motorized Transportation

King, Douglas M.; Jacobson, Sheldon H.

doi:10.1007/s13679-017-0238-y

Cited by 28 publications

(15 citation statements)

References 49 publications

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“…Several risk factors have been identified to promote weight again, including environment and genetic factors (3–6). Among them, the modern obesogenic environment has been implicated as one of the main drivers in the epidemic of obesity (7, 8), associated with sedentarism (9, 10) and increased consumption of highly palatable and calorie-rich processed foods (8, 11–13). In Western wealthy societies, food became cheaper, widely available, and offered in large portions (4, 14).…”

Section: Introductionmentioning

confidence: 99%

Food Cues and Obesity: Overpowering Hormones and Energy Balance Regulation

Belfort-DeAguiar

Seo

2018

Curr Obes Rep

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Food cues have strong impact on human physiology. Obese individuals have altered food cue-elicited responses in the brain and periphery, overpowering hormone and energy balance regulation. Disrupted homeostasis during food cue exposure leads to continued food intake, unsuccessful weight management, and poor treatment outcomes, which further contributes to obesity epidemic. Findings from the review emphasize the crucial role of food cues in obesity epidemic, which necessitates multidimensional approaches to the prevention and treatment of obesity, including psychosocial interventions to reduce food cue reactivity, along with conventional treatment.

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Section: Introductionmentioning

confidence: 99%

Food Cues and Obesity: Overpowering Hormones and Energy Balance Regulation

Belfort-DeAguiar

Seo

2018

Curr Obes Rep

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“…The negative association of percent of residents with long, solo commutes in the model was first seen in the analysis on 1 July and was the most influential variable in the final analysis on 1st August. In general, this variable is considered indicative of poor health and chronic diseases, such as obesity, diabetes, hypertension, and cardiopulmonary disease [37][38][39]. We suspect this addition represented residents of suburban communities, who may be telecommuting during the crisis.…”

Section: Discussionmentioning

confidence: 99%

The Use of Penalized Regression Analysis to Identify County-Level Demographic and Socioeconomic Variables Predictive of Increased COVID-19 Cumulative Case Rates in the State of Georgia

Richmond

Tome

Rochani

et al. 2020

IJERPH

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Systemic inequity concerning the social determinants of health has been known to affect morbidity and mortality for decades. Significant attention has focused on the individual-level demographic and co-morbid factors associated with rates and mortality of COVID-19. However, less attention has been given to the county-level social determinants of health that are the main drivers of health inequities. To identify the degree to which social determinants of health predict COVID-19 cumulative case rates at the county-level in Georgia, we performed a sequential, cross-sectional ecologic analysis using a diverse set of socioeconomic and demographic variables. Lasso regression was used to identify variables from collinear groups. Twelve variables correlated to cumulative case rates (for cases reported by 1 August 2020) with an adjusted r squared of 0.4525. As time progressed in the pandemic, correlation of demographic and socioeconomic factors to cumulative case rates increased, as did number of variables selected. Findings indicate the social determinants of health and demographic factors continue to predict case rates of COVID-19 at the county-level as the pandemic evolves. This research contributes to the growing body of evidence that health disparities continue to widen, disproportionality affecting vulnerable populations.

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“…Enlargement of urban spaces and increased commuting distances have created a need for motorization, as a higher mobility is nowadays expected of and desired by people (Cervero, 1996;King, Jacobson, 2017;Sun et al, 2017). Willoughby (2001) defines motorization as the total of advancements made in private car property and use.…”

Section: Literature Reviewmentioning

confidence: 99%

Costs a pretty penny: how household income impacts upon motorization in Europe and raises manufacturer branding challenges

Roşca

2019

Proceedings of the International Conference on Business Excellence

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This research starts from the findings of a previous study (Roșca, 2018) and intends to develop the preceding statistical model through testing new and more elaborated hypotheses based on the recommendations for future research made in the aforementioned work. The current paper tests demographic and transportation related variables for a multiple regression carried out at a confidence level of 95%. Regression results show a valid relationship between motorization and the selected regressors. Findings further reveal that motorization rates are most strongly influenced by the gross disposable income of households per capita (H4, β = 0.010, p = 0.000). Given that three of the demographic and transportation related research hypotheses have not been supported (age, overcrowding, fatalities), it might be argued that motorization should be looked upon more as a market(ing) feat rather than as a social or psychological fact. Car manufacturers should invest more in branding and in market segmentation in order to address the right target groups and properly position themselves with the customers. Branding, hence, becomes important as it creates an emotional connection between the corporate identity of the producers and the image that customers share about it. The closer the brand identity is to the brand image, the more of an impact the brand will have upon customers to spend part of their gross disposable income for car purchases. Starting from the main finding, this article also claims that future research needs to insist more upon the economic determinants of motorization (e.g. inflation, poverty rate, available resources, unemployment rate, interest rate etc.) and to determine their influence on brand preference and car ownership. At the same time, some other demographic variables such as age or generation could be double-checked, as researches provide shattered views upon their role: while some hold them as influential, others subjugate them to the economic determinants.

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What Is Driving Obesity? A Review on the Connections Between Obesity and Motorized Transportation

Cited by 28 publications

References 49 publications

Food Cues and Obesity: Overpowering Hormones and Energy Balance Regulation

Food Cues and Obesity: Overpowering Hormones and Energy Balance Regulation

The Use of Penalized Regression Analysis to Identify County-Level Demographic and Socioeconomic Variables Predictive of Increased COVID-19 Cumulative Case Rates in the State of Georgia

Costs a pretty penny: how household income impacts upon motorization in Europe and raises manufacturer branding challenges

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