Self-reported health and behavioral factors are associated with metabolic syndrome in Americans aged 40 and over

Liu, Ying; Ozodiegwu, Ifeoma D.; Nickel, Jeffrey C.; Wang, Kesheng; Iwasaki, Laura R.

doi:10.1016/j.pmedr.2017.06.010

Cited by 17 publications

(18 citation statements)

References 28 publications

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“…For this study, the choice of the variables was limited due to secondary nature of the data. Based on the availability from the survey, the following variables were included in this study: Age ( [8,22,23,[25][26][27][28][29][30]. Wealth index (used in all MICS surveys) is calculated by using principal components analysis that involves assigning scores on individual household possessions, e.g., consumer goods, dwelling characteristics, water, and sanitation to generate factor scores for each item.…”

Section: Sociodemographic Indicatorsmentioning

confidence: 99%

Determinants of Subjective Health, Happiness, and Life Satisfaction among Young Adults (18-24 Years) in Guyana

Wang

Liu

et al. 2020

BioMed Research International

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Abstract. Persistent urban-rural disparity in subjective health and quality of life is a growing concern for healthcare systems across the world. In general, urban population performs better on most health indicators compared with their rural counterparts. However, research evidence on the urban-rural disparity on perceived health, happiness, and quality of life among the young adult population is scarce in South American countries like Guyana. Therefore, in the present study we aimed to investigate whether subjective health, happiness, and quality of life differ according to place of residence among the young adult population in Guyana. Methods. Cross-sectional data on 2,434 men and women aging between 15 and 24 years were collected from the most recent Guyana Multiple Indicator Cluster Survey conducted in 2014. Outcome variables were perceived: satisfaction about health, life, and happiness, as well as life satisfaction before and after one year from the time of the survey. The urban-rural disparity in reporting satisfaction for these indicators was assessed by multivariate regression methods and by adjusting for relevant sociodemographic factors. Results. More than four-fifth of the respondents reported satisfaction with health (82.4%) and life (81.4%) and 77.9% reported being happy. A vast majority expressed improvement in life situation compared with a year ago (81.4%), and nearly all of the participants (95.4%) expect to have better life situation a year later. Multivariate analysis revealed an inverse association between rural residence and subjective health among men [OR = 0.518, 95%CI = 0.297, 0.901], and happiness [OR = 0.662, 95%CI = 0.381, 0.845] and life satisfaction [OR = 3.722, 95%CI = 1.502, 9.227] among women. Women having secondary [OR = 2.219, 95%CI = 1.209, 3.720] and higher [OR = 1.600, 95%CI = 1.041, 3.302] education also had higher odds of satisfaction with happiness. Conclusions. Our findings demonstrate the existence of significant urban–rural disparities in perceived health and quality of life among the young adult population in Guyana, especially among women. National health promotion projects should therefore take proper policy actions to address the underlying factors contributing to the urban–rural gaps in order to establish a more equitable healthcare system. Further researches are necessary to explore the underlying causes behind such disparities.

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Section: Sociodemographic Indicatorsmentioning

confidence: 99%

Determinants of Subjective Health, Happiness, and Life Satisfaction among Young Adults (18-24 Years) in Guyana

Wang

Liu

et al. 2020

BioMed Research International

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“…Importantly, self-report assesses the individual's perception of illness, which may be different from a clinician's assessment of disease [11]. Broadly, self-reported health status, usually from a single question with responses ranging from excellent to poor, is a valid and reliable measure that correlates reasonably well with clinical assessments of measured health [12,13]. Similarly, self-reported smell function is strongly correlated with measured olfaction, and has previously been shown to be associated with important health outcomes such as increased risk of 10-year mortality [14] and dementia [15].…”

Section: Introductionmentioning

confidence: 99%

Self-Reported Olfactory Dysfunction and Diet Quality: Findings from the 2011–2014 National Health and Nutrition Examination Survey (NHANES)

et al. 2021

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We identified associations between self-reported olfactory dysfunction (OD) and dietary attributes in participants aged ≥40 years (n = 6,356) from the nationally representative 2011–2014 National Health and Nutrition Examination Survey (NHANES). The chemosensory questionnaire and 24-h dietary recalls were administered by trained interviewers. OD was defined as self-report of either smell problems in the last year, worse smell relative to age 25, or perceiving phantom odors. Dietary outcomes included Healthy Eating Index 2015 score (HEI) with adequacy and moderation components (higher scores indicated higher diet quality), dietary diversity, energy density, and intake of major food groups. Survey-weighted linear regression models estimated OD–diet associations, adjusting for socio-demographic, lifestyle, and clinical factors. Adjusted mean difference (95% CI) between those with versus without OD, showed that adults with OD had significantly lower HEI moderation score (−0.67 (−1.22, −0.11)) and diets higher in energy density (0.06 (0.00, 0.11)), and percent energy from saturated fat (0.47 (0.12, 0.81)), total fat (0.96 (0.22, 1.70)), and added sugar (1.00 (0.33, 1.66)). Age and sex-stratified analyses showed that younger females (40–64 years) primarily accounted for the associations with diet quality and total/saturated fat intake. These findings inform dietary screening and recommendations for adults who report OD, including those experiencing transient or persistent smell loss with COVID-19.

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“…These alterations lead to an increase in the catabolism of HDL cholesterol, insulin resistance, and an increase in circulating fatty acids [5]. Poor diet/nutrition plays a significant role in these processes [6]. Studies suggest that high intake of meat and fried foods, consistent with a Western diet, leads to a higher incidence of MetS [7].…”

Section: Introductionmentioning

confidence: 99%

Dietary fiber intake and metabolic syndrome in postmenopausal African American women with obesity

Lepping

Adams‐Campbell²,

Hicks³

et al. 2022

PLoS ONE

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Fiber intake may be associated with lower risk of metabolic syndrome (MetS) but data from metabolically unhealthy African American women is sparse. We examined the association of dietary fiber intake and MetS among postmenopausal African American women with obesity. Baseline cross-sectional data from the Focused Intervention on Exercise to Reduce CancEr (FIERCE) trial of 213 women (mean age 58.3 years) were used. Dietary intake was assessed by Food Frequency Questionnaires (FFQs). Multivariate linear and logistic regressions were performed to estimate associations of MetS with fiber intake and adherence to dietary fiber intake guidelines, respectively. Mean daily fiber intake was (10.33 g/1000kcal) in women with impaired metabolic health. We observed an inverse association of total fiber intake with MetS. One unit increase in energy-adjusted fiber intake was associated with a 0.10 unit decrease in the MetS z-score (p = 0.02). Similar results were obtained for both soluble and insoluble fiber. In multivariate-adjusted analyses, participants not adherent to fiber intake recommendations were more likely to have MetS as compared to those reporting intakes in the recommended range (adjusted odds ratio 4.24, 95% CI: 1.75, 10.30). Of the MetS components, high fasting glucose and high triglycerides were all associated with lower intake of fiber. Study participants who consumed a higher amount of fiber had a better overall metabolic profile and were less likely to have MetS in our cross-sectional analysis of postmenopausal African American women with obesity and unhealthy metabolic profiles.

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Self-reported health and behavioral factors are associated with metabolic syndrome in Americans aged 40 and over

Cited by 17 publications

References 28 publications

Determinants of Subjective Health, Happiness, and Life Satisfaction among Young Adults (18-24 Years) in Guyana

Determinants of Subjective Health, Happiness, and Life Satisfaction among Young Adults (18-24 Years) in Guyana

Self-Reported Olfactory Dysfunction and Diet Quality: Findings from the 2011–2014 National Health and Nutrition Examination Survey (NHANES)

Dietary fiber intake and metabolic syndrome in postmenopausal African American women with obesity

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