Temporal Eating Patterns and Eating Windows among Adults with Overweight or Obesity.
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ABSTRACT:
SUBMITTER: Popp CJ
PROVIDER: S-EPMC8705992 | biostudies-literature |
REPOSITORIES: biostudies-literature
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Project description:This study examined whether the temporal patterns of energy and macronutrient intake in early and late eating windows were associated with metabolically healthy obesity (MHO) and metabolically unhealthy obesity (MUO) among non-shift workers. A total of 299 overweight/obese non-shift workers (Age: 40.3 ± 6.9 years; 73.6% women; BMI: 31.7 ± 5.0 kg/m2) were recruited in the Klang Valley area of Malaysia. The biochemical parameters were determined from fasting blood samples, whereas information on dietary intake and timing was obtained from a 7-day diet history questionnaire. The midpoint of eating was used to determine the early and late windows. Compared to MHO non-shift workers (n = 173), MUO non-shift workers (n = 126) had lower energy intake from carbohydrates and protein during the early window. In contrast, MUO participants had greater energy intake from carbohydrates and fat during the late window. Participants with unhealthy metabolic status (regardless of their chronotypes) had similar temporal patterns of energy intake characterized by smaller energy intake during the early window and greater energy intake during the late window compared with participants with healthier metabolic status. Overall, the lowest percentile of energy intake during the early window was associated with an increased risk of MUO, after adjustment for potential confounders [odds ratio (OR) = 4.30, 95% confidence interval (CI) 1.41-13.11]. The greater the energy intake during the late window, the greater the risk of MUO (OR = 2.38, 95% CI 1.11-5.13) (OR = 2.33, 95% CI 1.03-5.32) (OR = 4.45, 95% CI 1.71-11.56). In summary, consuming less energy earlier in the day and more energy and carbohydrate later in the day was associated with a greater risk of MUO. Thus, a prospective study is needed to explore the potential role of chrono-nutrition practices in modifying risk factors to delay the transition of MHO to MUO.
| S-EPMC8618797 | biostudies-literature
Project description:AIMS:Time trends in overweight and obesity in the general population have been well documented; however, temporal patterns in Type 1 diabetes (T1DM) have not been thoroughly investigated. We therefore assessed temporal patterns in overweight and obesity and predictors of weight change in 589 individuals from the Pittsburgh Epidemiology of Diabetes Complications Study, a cohort of childhood-onset T1DM. METHODS:Participants were first seen in 1986-1988, when mean age and diabetes duration were 29 and 20 years, respectively, and biennially thereafter for 18 years. Overweight was defined as 25.0<or=body mass index (BMI)<30.0 kg/m2. Obesity was defined as BMI>or=30.0 kg/m2. RESULTS:At baseline, the prevalence of overweight and obesity were 28.6% and 3.4%, respectively. After 18 years' follow-up, the prevalence of overweight increased by 47% while the prevalence of obesity increased sevenfold. Seven per cent were on intensive insulin therapy (>or=3 insulin injections per day or on insulin pump) at baseline; by 2004-2007, this was 82%. Predictors of weight change were a higher baseline HbA1c, symptomatic autonomic neuropathy (inversely), overt nephropathy (inversely), and going onto intensive insulin therapy during follow-up. CONCLUSIONS:These data demonstrate dramatic weight gain in T1DM and underscore the complexity of weight change in this disease.
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Project description:OBJECTIVE:To determine if unhealthy weight control behaviors or binge-eating behaviors among young adults with overweight/obesity are associated with body mass index (BMI) change and cardiometabolic risk at 7-year follow-up. METHODS:We used longitudinal cohort data from 5,552 young adults with overweight/obesity at baseline (18-24?years) with 7-year follow-up (24-32?years) from the National Longitudinal Study of Adolescent to Adult Health. Baseline predictors were: (a) unhealthy weight control behaviors such as vomiting, fasting, skipping meals, or laxative/diuretic use to lose weight; or (b) binge-eating behaviors. Participants reporting either unhealthy weight control behaviors or binge-eating behaviors were considered to engage in any disordered eating behavior (DEB). Outcomes at 7-year follow-up were BMI change, incident diabetes, incident hypertension, and incident hyperlipidemia. RESULTS:Young adults with overweight/obesity reporting unhealthy weight control behaviors at baseline had higher BMI and weight at 7-year follow-up than those without unhealthy weight control behaviors. In regression models adjusting for baseline BMI, race/ethnicity, age, and education, unhealthy weight control behaviors were associated with greater change in BMI in both sexes and binge-eating behavior at baseline was associated with greater odds of incident hyperlipidemia (odds ratio 1.90, 95% CI 1.29-2.79) at 7-year follow-up in males. CONCLUSIONS:The higher risk for increased BMI (in both males and females) and incident hyperlipidemia (in males) over time in young adults with overweight/obesity who engage in DEBs underscores the need to screen for DEBs in this population and provide referrals and tailored interventions as appropriate.
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Project description:Mild cold acclimation increases insulin sensitivity and previous studies indicate that some level of muscle contraction is essential for provoking this effect. Here, 15 adults with overweight or obesity, the majority of which had impaired glucose tolerance (n=9), were intermittently cold exposed for 10 consecutive days to induce 1 hour of shivering per day. Cold acclimation with shivering improved oral glucose tolerance, blood pressure, fasting glucose, triglyceride, and non-esterified free-fatty acid concentrations, and may thus represent a novel lifestyle approach for the prevention and treatment of obesity-related metabolic disorders.
2024-09-24 | GSE271452 | GEO
Project description:Few attempts have been made to incorporate multiple aspects of physical activity (PA) to classify patterns linked with health. Temporal PA patterns integrating time and activity counts were created to determine their association with health status. Accelerometry data from the National Health and Nutrition Examination Survey 2003-2006 was used to pattern PA counts and time of activity from 1999 adults with one weekday of activity. Dynamic time warping and kernel k-means clustering partitioned 4 participant clusters representing temporal PA patterns. Multivariate regression models determined associations between clusters and health status indicators and obesity, type 2 diabetes, and metabolic syndrome. Cluster 1 with a temporal PA pattern of the lowest activity counts reaching 4.8e4 cph from 6:00-23:00 was associated with higher body mass index (BMI) (β = 2.5 ± 0.6 kg/m2, 95% CI: 1.0, 4.1), higher waist circumference (WC) (β = 6.4 ± 1.3 cm, 95% CI: 2.8, 10.0), and higher odds of obesity (OR: 2.4; 95% CI: 1.3, 4.4) compared with Cluster 3 with activity counts reaching 9.6e4-1.2e5 cph between 16:00-21:00. Cluster 1 was also associated with higher BMI (β = 1.5 ± 0.5 kg/m2, 95% CI: 0.1, 2.8) and WC (β = 3.6 ± 1.3 cm, 95% CI: 0.1, 7.0) compared to Cluster 4 with activity counts reaching 9.6e4 cph between 8:00-11:00. A Temporal PA pattern with the lowest PA counts had significantly higher mean BMI and WC compared to temporal PA patterns of higher activity counts performed early (8:00-11:00) or late (16:00-21:00) throughout the day. Temporal PA patterns appear to meaningfully link to health status.
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Project description:BACKGROUND:Examining binge eating symptoms before the diagnosis of binge eating disorder in children with obesity could provide important information on prevention of future eating disorders. METHODS:We examined the prevalence and multilevel determinants of three binge eating symptoms: (1) sneaking, hiding, or hoarding food; (2) eating in the absence of hunger, and (3) inhibition or embarrassment when eating in front of others among 817 children aged 5-12 years old with overweight/obesity receiving primary care in eastern Massachusetts. We examined the associations of child and parent/household characteristics with the prevalence ratios (PRs) of these three binge eating symptoms. RESULTS:Approximately one-third of parents reported that their children would sneak, hide, or hoard food; 40% ate large amounts in the absence of hunger; and 8% were inhibited/embarrassed when eating in front of others. In multivariate analyses, greater screen time was associated with a higher prevalence of sneaking, hiding, or hoarding (PR 1.06, 95% CI: 1.01-1.11). We found that children with severe obesity (PR 1.50, 95% CI: 1.24-1.81 vs. nonsevere obesity) had higher prevalence of eating in the absence of hunger. Increased hours of screen time were associated with higher prevalence of eating in the absence of hunger, (PR: 1.07, 95% CI: 1.03-1.11), whereas longer sleep duration (PR: 0.90, 95% CI: 0.82-0.99) was associated with lower prevalence of eating in the absence of hunger. CONCLUSIONS:Eating in the absence of hunger was the most common symptom in our sample and was associated with screen time and sleep. ClinicalTrials.gov NCT01537510.
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Project description:The prevalence of overweight and obesity has been increasing globally. Recent studies suggest that eating frequency (EF) might be a factor influencing the development of overweight and obesity. This study aims to explore the association between eating frequency and obesity in Chinese adults. A cross-sectional study was conducted in Wuhan, China, from March to June 2016. A self-administered questionnaire and 24-h dietary recall were used to collect data on sociodemographic variables, lifestyle factors, nutrition knowledge, and eating frequency. Participants were divided into four groups according to eating frequency and meal timing: traditional time pattern (TTP), traditional time plus late snack pattern (TTLSP), irregular time pattern (ITP), and all-day pattern (ADP). We performed the chi-squared test and multiple logistic regression to assess associations among variables using JMP statistical software version 14.0.0 (SAS Institute Inc., Cary, NC, USA). Respondents were Chinese adults (N = 2290; range 29?74 years; 1162 men). Lower education level, higher food budget, and lower nutrition knowledge were associated with higher likelihood of irregular EF patterns (TTLSP, ITP, or ADP). Men, non-smokers, and participants with less physical activity, lower education level, or lower nutrition knowledge were more likely to be obese. Body mass index (BMI) categorization was significantly different among EF pattern groups (?² = 25.40, p = 0.003); however, this association was no longer significant in the regression model after adjustment for age, sex, education, smoking, food budget, nutrition knowledge, and physical activity. Thus, EF is not associated with obesity in Chinese adults.
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Project description:ObjectiveThe purpose of this study was to determine whether baseline measures of hedonic hunger-the Power of Food Scale-and self-control for food consumption-the Weight Efficacy Lifestyle Questionnaire-were associated with network topology within two sets of brain regions (regions of interest [ROIs] 1 and 2) in a group of older adults with obesity. These previously identified brain regions were shown in a different cohort of older adults to be critical for discriminating weight loss success and failure.MethodsBaseline functional magnetic resonance imaging data (resting state and food cue task) were collected in a novel cohort of 67 older adults with obesity (65-85 years, BMI = 35-42 kg/m2 ) participating in an 18-month randomized clinical trial on weight regain.ResultsThe Power of Food Scale was most related to ROI 1, which includes the visual cortex and sensorimotor processing areas during only the food cue state. During both the food cue and resting conditions, the Weight Efficacy Lifestyle Questionnaire was associated with ROI 2, which includes areas of the attention network and limbic circuitry.ConclusionsOur findings show critical, distinct links between brain network topology with self-reported measures that capture hedonic hunger and the confidence that older adults have in resisting the consumption of food because of both intrapersonal and social/environmental cues.
| S-EPMC7686067 | biostudies-literature
Project description:This article describes the important cultural specifics that impact on treatment of overweight and obesity for the Roma people of South Bohemia.MethodsData on health and nutrition were collected using a semi-structured interview of 302 Roma adults (quantitative phase). A further 25 participants received in-depth interviews regarding their eating and lifestyle habits and perceptions about obesity and overweight (qualitative phase). Height and weight were measured with calibrated scales and stadiometer. Qualitative data were analyzed with the “grounded theory” method.ResultsThe participants reported a relatively high consumption of high-sugar drinks and foods compared to fruits and vegetables. Lifestyle factors increasing risk of overweight identified from the qualitative interview included unemployment, socially isolating housing, poor transport, poverty, inactivity, tobacco smoking, and for women weight gain after childbirth. Also identified was the need for better health literacy.ConclusionsEffective health education may help to address risk factors for overweight and obesity in Roma peoples. Other measures include improved socioeconomic status and housing security, and improved health literacy of the Roma people.
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Project description:The goal of this study was to test the feasibility of time restricted eating (TRE) in adults with overweight and obesity. Participants (n = 50) logged all eating occasions (>0 kcal) for a 2-week run-in period using a smartphone application. Participants with eating duration ≥14 h enrolled in an open label, non-randomized, prospective 90-day TRE intervention, with a self-selected reduced eating window of 10 h. No dietary counseling was provided. Changes in anthropometrics, eating patterns and adherence after TRE were analyzed using t-tests or Wilcoxon Rank-Sum Test. The mean duration of the baseline eating window was 14 h 32 m ± 2 h 36 m (n = 50) with 56% of participants with duration ≥14 h. TRE participants (n = 16) successfully decreased their eating window from 16 h 04 m ± 1 h 24 m to 11 h 54 m ± 2 h 06 m (p < 0.001), and reduced the number of daily eating occasions by half (p < 0.001). Adherence to logging and to the reduced eating window was 64% ± 22% and 47% ± 19%, respectively. TRE resulted in decreases in body weight (-2.1 ± 3.0 kg, p = 0.017), waist circumference (-2.2 ± 4.6 cm, p = 0.002) and systolic blood pressure (-12 ± 11 mmHg, p = 0.002). This study demonstrates the feasibility and efficacy of TRE administered via a smartphone, in adults with overweight and obesity.
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