scholarly journals Exploring secular changes in the association between BMI and waist circumference in Mexican-Origin and white women: A comparison of Mexico and the United States

2014 ◽  
Vol 26 (5) ◽  
pp. 627-634 ◽  
Author(s):  
Sandra S. Albrecht ◽  
Simon Barquera ◽  
Barry M. Popkin
1992 ◽  
Vol 26 (1) ◽  
pp. 67-88 ◽  
Author(s):  
Elizabeth Hervey Stephen ◽  
Frank D. Bean

This research uses 1970 and 1980 Census data to test hypotheses about the effects of adaptation, assimilation and disruption on the fertility of Mexican-origin women. In the absence of longitudinal or life history data, the kinds of forces affecting immigrant group fertility can be inferred by: 1) examining the degree to which Mexican-origin women disaggregated by nativity or generational groups differ in fertility behavior from non-Hispanic Whites; 2) analyzing both current and cumulative fertility; 3) comparing the fertility of nativity or generational groups disaggregated by age of women and period of immigration; and 4) conducting cohort analyses between more than one time period. The findings show evidence of both assimilation and disruption effects on reproductive behavior. Fertility is found to decline the greater the length of familial exposure to the United States and, in the case of younger groups of immigrant women, to fall below the level of U.S.-born Mexican-origin and non-Hispanic White women when other variables are held constant. These results illustrate why assimilation effects on immigrant group fertility have often not emerged in previous research. They also imply that the fertility behavior of the Mexican-origin population is likely to come to resemble that of the rest of the population the longer this group resides in the United States.


2021 ◽  
Vol 39 (15_suppl) ◽  
pp. e13531-e13531
Author(s):  
John Chan ◽  
Michelle Ann P. Caesar ◽  
Chloe Chan ◽  
Michael Richardson ◽  
Daniel Stuart Kapp ◽  
...  

e13531 Background: To examine trends in modifiable behaviorally related cancers among racial groups in the United States. Methods: Data were obtained from the United States Cancer Statistics (USCS) database for all cancers diagnosed between 2001 and 2017. Alcohol-associated cancers, HPV-associated, obesity-associated, physical inactivity-associated, and tobacco-associated were defined using ICD-O-3 site codes. SEER*Stat 8.3.8 and Joinpoint regression program 4.8.0.1 were used to calculate the trends of associated cancers expressed per 100,000. Results: In women, the incidence of all cancers has decreased significantly or remain unchanged for all racial groups in 2017, with the exception of an increase of HPV related cancers in white women (APC = 0.77%, p < 0.001), obesity related cancers in Hispanic women (APC = 0.46%, p < 0.001), and postmenopausal breast cancer in Black and Asian women (APC 0.78%, 1.06%, p < 0.001). The incidence of alcohol, tobacco, obesity, and physical inactivity associated cancer decreased significantly in men for all racial groups in 2017. HPV related cancers increased annually by 3.13% (p < 0.001) in White men and 0.90% in Asian men (p = 0.022). The highest decrease in modifiable factors associated with cancers was in physical inactivity related cancers in black men from the west (APC = -3.79, p < 0.001). The intersection of black race and U.S. region had the highest decreases in all cancers except obesity-related cancers where the intersection of Asian race and Midwest region had the highest decrease. Conclusions: In women, most modifiable factors associated with cancer are decreasing except in obesity related cancers and physical inactivity/obesity related postmenopausal breast cancer. In men, these rates of cancer are decreasing for all racial groups except HPV related cancers in White and Asian men.


2019 ◽  
Author(s):  
Bernice Kennedy ◽  
Chalice Rhodes (Former Jenkins)

Abstract Historically, during slavery, the international slave trade promoted normalization of violence against African American women. During slavery, African American women endured inhuman conditions because of the majority race views of them as being over-sexualized, physically strong, and immoral. This perception of the African American women as being highly sexual and more sexual than white women results in slave owner justifying their sexual violation and degrading of the African American women. The stereotypical representations of African American women as strong, controlling, dangerous, fearless, and invulnerable may interfere with the African American women receiving the needed services for domestic violence in the community. The Strong Black Women Archetype has been dated back to slavery describing their coping mechanism in dealing with oppression by developing a strong, less traditionally female role. The authors developed a model: The Multidimensional Perspectives of Factors Contributing to Domestic Violence of African American Women in the United States. This model depicts historically, the factors contributing to domestic violence of African American women in the United States. Also, this model addressed the African American women subscribing to the Strong Black Women Archetype to cope with domestic violence. Despite the increase in domestic violence in African American women, they focused more on the issue of racism instead of sexism in America. African American women have experienced the two obstacles of racism and sexism in America. However, African American women and men believe racism is more critical than sexism. Therefore, domestic violence in the African American population may remain silent because of cultural loyalty. However, the voice of silence of African American females is gradually changing with the upcoming generations.


Demography ◽  
2018 ◽  
Vol 55 (4) ◽  
pp. 1245-1267 ◽  
Author(s):  
Lauren Gaydosh ◽  
Daniel W. Belsky ◽  
Benjamin W. Domingue ◽  
Jason D. Boardman ◽  
Kathleen Mullan Harris

2018 ◽  
Vol 19 (2) ◽  
pp. 414-424 ◽  
Author(s):  
Jesse D. Schold ◽  
Susana Arrigain ◽  
Stuart M. Flechner ◽  
Joshua J. Augustine ◽  
John R. Sedor ◽  
...  

Author(s):  
Amy Sueyoshi

This chapter interrogates San Francisco’s mythical reputation as a town where “anything goes.” Pairings of men of color with white women occurred in the city press without the violent rage that it provoked in nearly every other part of the United States at the time. Homoerotic imagery and writings also proliferated with little to no controversy. While the acceptance of these activities might signal an embrace of the diverse people and lifestyles, it in fact pointed to the opposite. Precisely because of overwhelming and unquestionable dominance of white supremacy and heterosexuality, narratives of interracial mingling and same-sex love that might otherwise challenge the status quo served merely as entertaining anecdotes without any threat to the existing social order.


Author(s):  
Kayla Marie Martensen

Influenced by critical carceral studies and abolition feminism, this non-empirical work identifies a political, social and economic carceral system that is fueled by existing racist, sexist, classist, homophobic, ableist and xenophobic ideologies, which both minimize resources for Latinx/a women and girls and increases the level of state violence perpetrated against them. The consequences of dispossession, subjugation and stigmatization have impacted Latina/x women's access to livable waged jobs, healthcare, safe and healthy food and water, adequate living conditions, quality education, and acceptance in American society. This violence is justified and considered necessary by constructing Latina/x women and girls as unworthy of state protection and state resource and as threats to the economy, culture and politics of the United States. Latina/x women, like other women of color, are not afforded the protections extended to white women by the state. Many Americans do not see them as the “good victim”, but often they are the “bad woman”, “bad mother”, “sexual deviant”, exploited laborer, culturally defiant, and increasingly they are “illegal”, “criminal” and “terrorist”. This results in Latinx/a women and girls being more likely to be imprisoned than white women and are one of the fastest growing prison populations in the United States.


2019 ◽  
Vol 4 (1) ◽  
pp. 238146831881476 ◽  
Author(s):  
Elizabeth R. Stevens ◽  
Qinlian Zhou ◽  
Glen B. Taksler ◽  
Kimberly A. Nucifora ◽  
Marc Gourevitch ◽  
...  

Background. Reference life expectancies inform frequently used health metrics, which play an integral role in determining resource allocation and health policy decision making. Existing reference life expectancies are not able to account for variation in geographies, populations, and disease states. Using a computer simulation, we developed a reference life expectancy estimation that considers competing causes of mortality, and is tailored to population characteristics. Methods. We developed a Monte Carlo microsimulation model that explicitly represented the top causes of US mortality in 2014 and the risk factors associated with their onset. The microsimulation follows a birth cohort of hypothetical individuals resembling the population of the United States. To estimate a reference life expectancy, we compared current circumstances with an idealized scenario in which all modifiable risk factors were eliminated and adherence to evidence-based therapies was perfect. We compared estimations of years of potential years life lost with alternative approaches. Results. In the idealized scenario, we estimated that overall life expectancy in the United States would increase by 5.9 years to 84.7 years. Life expectancy for men would increase from 76.4 years to 82.5 years, and life expectancy for women would increase from 81.3 years to 86.8 years. Using age-75 truncation to estimate potential years life lost compared to using the idealized life expectancy underestimated potential health gains overall (38%), disproportionately underestimated potential health gains for women (by 70%) compared to men (by 40%), and disproportionately underestimated the importance of heart disease for white women and black men. Conclusion. Mathematical simulations can be used to estimate an idealized reference life expectancy among a population to better inform and assess progress toward targets to improve population health.


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