Racial-ethnic disparities in self-reported health status among US adults adjusted for sociodemographics and multimorbidities, National Health and Nutrition Examination Survey 2011–2014

Gandhi, Krupa; Lim, Eunjung; Davis, James W.; Chen, John J.

doi:10.1080/13557858.2017.1395812

Cited by 29 publications

(20 citation statements)

References 54 publications

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“…Race/ethnicity was associated with all four HRQOL measures, but the directions and effects differed across the measures. We found all minority ethnic groups have higher distress rates in general health than White, consistent with the findings from other studies [ 17 , 18 ]. However, the directions of the other three HRQOL measures among Filipino and Japanese were opposite to that of general health; these ethnic groups displayed significantly lower distress rates than White.…”

Section: Discussionsupporting

confidence: 92%

Racial/ethnic differences in health-related quality of life among Hawaii adult population

Lim

Davis

Siriwardhana

et al. 2020

Health Qual Life Outcomes

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Background This study examined racial/ethnic differences in health-related quality of life (HRQOL) among adults and identified variables associated with HRQOL by race/ethnicity. Methods This study was conducted under a cross-sectional design. We used the 2011–2016 Hawaii Behavioral Risk Factor Surveillance System data. HRQOL were assessed by four measures: self-rated general health, physically unhealthy days, mentally unhealthy days, and days with activity limitation. Distress was defined as fair/poor for general health and 14 days or more for each of the other three HRQOL measures. We conducted multivariable logistic regressions with variables guided by Anderson’s behavioral model on each distress measure by race/ethnicity. Results Among Hawaii adults, 30.4% were White, 20.9% Japanese, 16.8% Filipino, 14.6% Native Hawaiian and Pacific Islander (NHPI), 5.9% Chinese, 5.2% Hispanics, and 6.2% Other. We found significant racial/ethnic differences in the HRQOL measures. Compared to Whites, Filipinos, Japanese, NHPIs, and Hispanics showed higher distress rates in general health, while Filipinos and Japanese showed lower distress rates in the other HRQOL measures. Although no variables were consistently associated with all four HRQOL measures across all racial/ethnic groups, history of diabetes were significantly associated with general health across all racial/ethnic groups and history of depression was associated with at least three of the HRQOL measure across all racial/ethnic groups. Conclusions This study contributes to the literature on disparities in HRQOL and its association with other variables among diverse racial/ethnic subgroups. Knowing the common factors for HRQOL across different racial/ethnic groups and factors specific to different racial/ethnic groups will provide valuable information for identifying future public health priorities to improve quality of life and reduce health disparities.

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Section: Discussionsupporting

confidence: 92%

Racial/ethnic differences in health-related quality of life among Hawaii adult population

Lim

Davis

Siriwardhana

et al. 2020

Health Qual Life Outcomes

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“…Kandula et al (2007) found that Asian adults have poorer self-reported health than White adults, even though they have fewer chronic conditions. Other studies that have found racial/ethnic differences in self-rated health include Gandhi et al (2020), who showed that, even after adjusting for number of chronic conditions and demographic variables, Hispanic, Black, and Asian adults report their health to be poorer than do non-Hispanic White adults. One explanation offered to account for these findings is that perceptions of health may be influenced by culture or cultural identity.…”

Section: Discussionmentioning

confidence: 99%

Listening in 2020: A Survey of Adults' Experiences With Pandemic-Related Disruptions

et al. 2021

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Purpose The COVID-19 pandemic has introduced lifestyle changes that may negatively impact communication, including the pervasive use of face masks and videoconferencing technology. Here, we examine the effects of age and self-rated hearing on subjective measures of speech understanding via a survey accessed by adults residing in the United States. Method Responses to an online survey were obtained from adults (21 years of age and older) during the summer and fall of 2020. The survey included questions about hearing and speech understanding in a variety of scenarios and different listening conditions, including when communicating with people using face masks in quiet and noisy environments and when using videoconferencing. Results Data from 1,703 surveys were analyzed. In general, the use of face masks led to the perception of poorer speech understanding and greater need for concentration, especially in noisy environments. When responses from all participants were considered, poorer self-rated communication ability was noted as age increased. However, among people who categorized their overall hearing as “Excellent” or “Good,” younger adults rated their speech understanding ability in noisy situations as poorer than middle-age or older adults. Among people who rated their overall hearing as “Fair” or “Poor,” middle-age adults indicated having more difficulty communicating with people using face masks, as compared with older adults. Examination of open-ended responses suggested that the strategies individuals use when communicating with people wearing face masks vary by age and self-rated hearing. Notably, middle-age and older adults were more likely to report using strategies that could put them at risk (e.g., asking others to remove their face masks). Conclusions Even younger adults with self-perceived good hearing are not immune to communication challenges brought about by face masks. Among individuals with similar degrees of self-rated hearing, the expected increase in communication difficulty with age was not noted among our respondents. Supplemental Material https://doi.org/10.23641/asha.16528431

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“…A self-reported rating of overall health, asked via a single question in the Current Health Status questionnaire, was used in this analysis; five response categories were collapsed into three categories as either excellent/very good, good or fair/poor (24) . Self-rated overall oral health condition was also measured by a single item in the Oral Health questionnaire: 'Overall, how would you rate the health of your teeth and gums?'…”

Section: Survey Descriptionmentioning

confidence: 99%

Older adults with obesity have higher risks of some micronutrient inadequacies and lower overall dietary quality compared to peers with a healthy weight, National Health and Nutrition Examination Surveys (NHANES), 2011–2014

Jun

Cowan

Bhadra

et al. 2020

Public Health Nutr.

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Objective: To evaluate total usual intakes and biomarkers of micronutrients, overall dietary quality and related health characteristics of US older adults who were overweight or obese compared with a healthy weight. Design: Cross-sectional study. Setting: Two 24-h dietary recalls, nutritional biomarkers and objective and subjective health characteristic data were analysed from the National Health and Nutrition Examination Survey 2011–2014. We used the National Cancer Institute method to estimate distributions of total usual intakes from foods and dietary supplements for eleven micronutrients of potential concern and the Healthy Eating Index (HEI)-2015 score. Participants: Older adults aged ≥60 years (n 2969) were categorised by sex and body weight status, using standard BMI categories. Underweight individuals (n 47) were excluded due to small sample size. Results: A greater percentage of obese older adults compared with their healthy-weight counterparts was at risk of inadequate Mg (both sexes), Ca, vitamin B6 and vitamin D (women only) intakes. The proportion of those with serum 25-hydroxyvitamin D < 40 nmol/l was higher in obese (12 %) than in healthy-weight older women (6 %). Mean overall HEI-2015 scores were 8·6 (men) and 7·1 (women) points lower in obese than in healthy-weight older adults. In addition, compared with healthy-weight counterparts, obese older adults were more likely to self-report fair/poor health, use ≥ 5 medications and have limitations in activities of daily living and cardio-metabolic risk factors; and obese older women were more likely to be food-insecure and have depression. Conclusions: Our findings suggest that obesity may coexist with micronutrient inadequacy in older adults, especially among women.

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Racial-ethnic disparities in self-reported health status among US adults adjusted for sociodemographics and multimorbidities, National Health and Nutrition Examination Survey 2011–2014

Cited by 29 publications

References 54 publications

Racial/ethnic differences in health-related quality of life among Hawaii adult population

Racial/ethnic differences in health-related quality of life among Hawaii adult population

Listening in 2020: A Survey of Adults' Experiences With Pandemic-Related Disruptions

Older adults with obesity have higher risks of some micronutrient inadequacies and lower overall dietary quality compared to peers with a healthy weight, National Health and Nutrition Examination Surveys (NHANES), 2011–2014

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