Weight Perceptions and Perceived Risk for Diabetes and Heart Disease Among Overweight and Obese Women, Suffolk County, New York, 2008

Goodman, Melody S.; Stafford, Jewel D.; Lachance, Christina; Kaphingst, Kimberly A.

doi:10.5888/pcd9.110185

Cited by 16 publications

(22 citation statements)

References 28 publications

(30 reference statements)

Supporting

Mentioning

Contrasting

Order By: Relevance

“…We observed lower health literacy levels relative to other studies that used this measure (Adams et al, 2009; Darlow et al, 2012; Weiss et al, 2005), likely due to the characteristics of our sample. Lower rates of health literacy have been observed among racial/ethnic minority groups, including blacks (Cha et al, 2014; Darlow et al, 2012; Huizinga et al, 2008; Rothman et al, 2006), and those of low socioeconomic position (Adams et al, 2009; Barber et al, 2009; Cha et al, 2014; Huizinga et al, 2008; Rothman et al, 2006; Shah, West, Bremmeyr, & Savoy-Moore, 2010). These findings are particularly concerning given the lack of efficacious weight management treatment options for black females (Osei-Assibey, Kyrou, Adi, Kumar, & Matyka, 2010), a demographic who has the highest prevalence of overweight or obesity (82%) among any racial/ethnic group in the U.S. (Ogden et al, 2014).…”

Section: Discussioncontrasting

confidence: 86%

“…Scores of 0 to 1 indicate a “high likelihood that the patient has limited literacy,” scores of 2 to 3 indicate a “possibility of limited literacy,” and scores of 4 to 6 almost always indicate “adequate literacy”(Weiss et al, 2005). Consistent with previous studies, we combined the two lower categories into one called “low health literacy” (Berkman, Sheridan, Donahue, Halpern, & Crotty, 2011; Darlow et al, 2012). …”

Section: Methodsmentioning

confidence: 99%

“…Among overweight and obese individuals, limited health literacy is associated with misperception of weight status (Darlow, Goodman, Stafford, Lachance, & Kaphingst, 2012), poorer diet quality (Cha et al, 2014), failure to understand adverse health consequences of excess weight and to recognize the need to lose weight (Kennen et al, 2005), decreased readiness to change (Cardozo et al, 2013; Kennen et al, 2005), and lower self-efficacy (Cha et al, 2014), which may all complicate the weight loss process.…”

mentioning

confidence: 99%

See 2 more Smart Citations

Health Literacy and Weight Change in a Digital Health Intervention for Women: A Randomized Controlled Trial in Primary Care Practice

Lanpher

Askew

Bennett

2016

Journal of Health Communication

View full text Add to dashboard Cite

In the U.S., 90 million adults have low health literacy. An important public health challenge is developing obesity treatment interventions suitable for those with low health literacy. The objective of this study was to examine differences in sociodemographic and clinical characteristics, as well as weight and intervention engagement outcomes by health literacy. We randomized 194 participants to usual care or to the Shape Program intervention, a 12 month digital health treatment aimed to prevent weight gain among overweight and class I obese black women in primary care practice. We administered the Newest Vital Sign instrument to assess health literacy. Over half (55%)of participants had low health literacy, which was more common for those with fewer years of educational attainment and lower income. There was no effect of health literacy on 12-month weight change or on intervention engagement outcomes (completion of coaching calls and interactive voice response self-monitoring calls). Low health literacy did not preclude successful weight gain prevention in the Shape Program intervention. Goal focused behavior change approaches like that used in Shape may be particularly helpful for treating and engaging populations with low health literacy.

show abstract

Section: Discussioncontrasting

confidence: 86%

Section: Methodsmentioning

confidence: 99%

mentioning

confidence: 99%

See 1 more Smart Citation

Health Literacy and Weight Change in a Digital Health Intervention for Women: A Randomized Controlled Trial in Primary Care Practice

Lanpher

Askew

Bennett

2016

Journal of Health Communication

View full text Add to dashboard Cite

show abstract

“…19,20 Within this sample, males reported a higher perceived risk compared to females. It is possible that males have a higher perceived risk threshold, meaning that they will only seek help when they perceive their risk to be significantly elevated.…”

Section: Discussionmentioning

confidence: 78%

Heart Disease Risk and Self-efficacy in Overweight and Obese Adults

Imes

Novosel

Burke

2016

The Journal for Nurse Practitioners

View full text Add to dashboard Cite

“…A recently study by Darlow et al 29 investigated the perceived heart disease risk of 397 overweight or obese women. Demographic information, self-perceived weight status, the degree to which weight was a health problem, and their perceived heart disease risk compared to persons the same age and sex were collected.…”

Section: Resultsmentioning

confidence: 99%

Family History of Cardiovascular Disease, Perceived Cardiovascular Disease Risk, and Health-Related Behavior

Imes

Lewis

2014

Journal of Cardiovascular Nursing

View full text Add to dashboard Cite

Background Over 82 million Americans have one or more forms of cardiovascular disease (CVD), accounting for 32.8% of all deaths in the United States. Although the evidence for the familial aggregation of CVD is strong, the relationship between family history (FH) of CVD, perceived risk for CVD and their relationship to health-related behavior is poorly understood. Objective The objective of this article is to review and summarize the published research on the relationship between a FH of CVD, an individual’s perceived risk, and health-related behavior in order to make recommendations for clinical practice and future research. Methods A literature search was conducted using PubMed, CINAHL Plus, and PsycINFO to identify articles that examined the relationship between a FH of CVD, perceived CVD risk, and health-promoting behaviors. A total of 263 unique articles were reviewed. Two hundred thirty-eight were excluded, resulting in a total of 25 articles included in the paper. Results There was a positive relationship between a reported FH of CVD and perceived risk. However, the relationship between a FH of CVD and health-related behavior change and perceived risk and behavior change was inconsistent. Conclusions A person’s awareness of their FH of CVD or their own risk for CVD is not a sufficient predictor of changes in their health-related behavior. Future studies are needed to better explain the processes by which perceived CVD risk or FH of CVD can be used to affect health-related behavior changes. It appears that both FH and perceived personal risk for CVD are necessary but not sufficient conditions to change health-related behavior in high-risk populations. Future studies should also test interventions that help individuals with a FH of CVD attribute increased personal risk to themselves for developing CVD, while providing lifestyle management options to minimize their risk.

show abstract

Weight Perceptions and Perceived Risk for Diabetes and Heart Disease Among Overweight and Obese Women, Suffolk County, New York, 2008

Cited by 16 publications

References 28 publications

Health Literacy and Weight Change in a Digital Health Intervention for Women: A Randomized Controlled Trial in Primary Care Practice

Health Literacy and Weight Change in a Digital Health Intervention for Women: A Randomized Controlled Trial in Primary Care Practice

Heart Disease Risk and Self-efficacy in Overweight and Obese Adults

Family History of Cardiovascular Disease, Perceived Cardiovascular Disease Risk, and Health-Related Behavior

Contact Info

Product

Resources

About