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Stressor reactivity to insufficient sleep and its association with body mass index in middle-aged workers.

ABSTRACT: There is evidence that insufficient sleep and more stressors are individually associated with poor metabolic health outcomes. Examining sleep and stressors jointly may account for greater variability in health outcomes; however, we know little about the combined effect of both insufficient sleep and more stressors on metabolic health. This study examined whether experiencing more stressors in response to insufficient sleep ("stressor reactivity to insufficient sleep") was associated with body mass index in middle-aged workers. One-hundred and twenty-seven participants (M_age = 45.24 ± 6.22 years) reported nightly sleep characteristics and daily stressors on 8 consecutive days. We collected height and weight measurements to calculate body mass index (kg m-² ). On average, workers reported more stressors following nights with shorter-than-usual sleep duration or poorer-than-usual sleep quality (negative slope means higher stressor reactivity to insufficient sleep). When examining stressor reactivity to insufficient sleep with insufficient sleep represented by shorter-than-usual sleep duration, compared with those with average stressor reactivity to insufficient sleep (within ±½ SD; reference), workers with high stressor reactivity to insufficient sleep (≤-½ SD) had higher body mass index (B = 3.24, p < .05). The body mass index of these workers fell in the obese range. There was no difference in body mass index between workers with low stressor reactivity to insufficient sleep (≥+½ SD) and the reference group. When examining stressor reactivity to insufficient sleep with insufficient sleep represented by poorer-than-usual sleep quality, stressor reactivity to insufficient sleep was not significantly associated with body mass index. Results suggest that middle-aged workers with higher stressor reactivity to insufficient sleep duration may be at greater risk for obesity. Results may inform future studies on interventions for improving sleep and reducing stress in middle-aged workers.

SUBMITTER: Vigoureux TFD

PROVIDER: S-EPMC7297650 | biostudies-literature |

REPOSITORIES: biostudies-literature

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Project description:BackgroundParallel to growth of aging and obese populations, the prevalence of metabolic diseases is rising. How body mass index (BMI) relates to frailty and mortality across frailty levels is controversial. We examined the associations of high BMI with frailty and mortality and explored the effects of percent body fat on these associations.MethodsWe included 29,937 participants aged ≥50 years from the 2001-2006 National Health and Nutrition Examination Survey (NHANES) cohorts (N=6062; 53.7% females) and from wave 1 (2004) of Survey of Health, Ageing and Retirement in Europe (SHARE) (N=23,875; 54% females). BMI levels were categorized as: normal: 18.5-24.9 kg/m2, overweight: 25.0-29.9, obese grade 1: 30.0-34.9, and obese grade 2 or 3: >35.0. A frailty index (FI) was constructed excluding nutrition-related items: 36 items for NHANES and 57 items for SHARE. We categorized the FI using 0.1-point increments: FI ≤ 0.1 (non-frail), 0.1 < FI ≤ 0.2 (very mildly frail), 0.2 < FI ≤ 0.3 (mildly frail), and FI > 0.3 (moderately/severely frail). Percent body fat was measured using DXA for NHANES participants. All-cause mortality data were obtained until 2015 for NHANES and 2017 for SHARE to estimate 10-year mortality risk. All analyses were adjusted for age, sex, educational, marital, employment, and smoking statuses.ResultsMean age of participants was 63.3±10.2 years for NHANES and 65.0±10.0 years for SHARE. In both cohorts, BMI levels ≥25 kg/m2 were associated with higher frailty, compared to normal BMI. In SHARE, having a BMI level greater than 35 kg/m2 increased mortality risk in participants with FI≤0.1 (HR 1.31, 95%CI 1.02-1.69). Overweight participants with FI scores >0.3 were at lower risk for mortality compared to normal BMI [NHANES (0.79, 0.64-0.96); SHARE (0.71, 0.63-0.80)]. Higher percent body fat was associated with higher frailty. Percent body fat significantly mediated the relationship between BMI levels and frailty but did not mediate the relationship between BMI levels and mortality risk.ConclusionsBeing overweight or obese is associated with higher frailty levels. In this study, we found that being overweight is a protective factor of mortality in moderately/severely frail people and obesity grade 1 may be protective for mortality for people with at least a mild level of frailty. In contrast, obesity grades 2 and 3 may be associated with higher mortality risk in non-frail people. The relationship between BMI and frailty is partially explained by body fat.

Project description:BackgroundBody mass index (BMI) based on self-reported height and weight has been criticized as being biased because of an observed tendency for overweight and obese people to overestimate height and underestimate weight, resulting in higher misclassification for these groups. We examined the validity of BMI based on self-reported values in a sample of Norwegian women aged 44-64 years.MethodsThe study sample of 1,837 participants in the Norwegian Women and Cancer study self-reported height and weight, and then, within 1 year, either self-reported anthropometric again, or were measured by medical staff. Demographic and anthropometric were compared using t-tests and chi-square tests of independence. Misclassification of BMI categories was assessed by weighted Cohen's kappa and Bland-Altman plot.ResultsOn average, the two measurements were taken 8 months apart, and self-reported weight increased by 0.6 kg (P<0.05), and BMI by 0.2 kg/m(2) (P<0.05). The distribution of BMI categories did not differ between self-reported and measured values. There was substantial agreement between self-reported values and those measured by medical staff (weighted kappa 0.73). Under-reporting resulting in misclassification of BMI category was most common among overweight women (36%), but the highest proportion of extreme under-reporting was found in obese women (18% outside the 95% limits of agreement). The cumulative distribution curves for the measured and self-reported values closely followed each other, but measurements by medical staff were shifted slightly toward higher BMI values.ConclusionWhile there was substantial agreement between self-reported and measured BMI values, there was small but statistically significant under-reporting of weight and thus self-reported BMI. The tendency to under-report was largest among overweight women, while the largest degree of under-reporting was found in the obese group. Self-reported weight and height provide a valid ranking of BMI for middle-aged Norwegian women.

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Stressor reactivity to insufficient sleep and its association with body mass index in middle-aged workers.

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