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:ObjectiveTo 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.MethodsWe 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.ResultsYoung 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.ConclusionsThe 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.
| S-EPMC6230303 | biostudies-literature
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:BackgroundThe integration of time with dietary patterns throughout a day, or temporal dietary patterns (TDPs), have been linked with dietary quality but relations to health are unknown.ObjectiveThe association between TDPs and selected health status indicators and obesity, type 2 diabetes (T2D), and metabolic syndrome (MetS) was determined.MethodsThe first-day 24-h dietary recall from 1627 nonpregnant US adult participants aged 20-65 y from the NHANES 2003-2006 was used to determine timing, amount of energy intake, and sequence of eating occasions (EOs). Modified dynamic time warping (MDTW) and kernel k-means algorithm clustered participants into 4 groups representing distinct TDPs. Multivariate regression models determined associations between TDPs and health status, controlling for potential confounders, and adjusting for the survey design and multiple comparisons (P <0.05/6).ResultsA cluster representing a TDP with evenly spaced, energy balanced EOs reaching ≤1200 kcal between 06:00 to 10:00, 12:00 to 15:00, and 18:00 to 22:00, had statistically significant and clinically meaningful lower mean BMI (P <0.0001), waist circumference (WC) (P <0.0001), and 75% lower odds of obesity compared with 3 other clusters representing patterns with much higher peaks of energy: 1000-2400 kcal between 15:00 and 18:00 (OR: 5.3; 95% CI: 2.8, 10.1), 800-2400 kcal between 11:00 and 15:00 (OR: 4.4; 95% CI: 2.5, 7.9), and 1000-2600 kcal between 18:00 and 23:00 (OR: 6.7; 95% CI: 3.9, 11.6).ConclusionsIndividuals with a TDP characterized by evenly spaced, energy balanced EOs had significantly lower mean BMI, WC, and odds of obesity compared with the other patterns with higher energy intake peaks at different times throughout the day, providing evidence that incorporating time with other aspects of a dietary pattern may be important to health status.
| S-EPMC7726125 | biostudies-literature
Project description:BackgroundEmotional eating (EE) may be defined as a tendency to eat in response to negative emotions and energy-dense and palatable foods, and is common amongst adults with overweight or obesity. There is limited evidence regarding the effectiveness of interventions that address EE.ObjectivesTo synthesize evidence on the effectiveness of EE interventions for weight loss and EE in adults living with overweight or obesity.MethodsThis is a systematic review and meta-analysis. Adhering to the PRISMA guidance, a comprehensive electronic search was completed up to February 2022. Random effects meta-analysis was carried out to determine the percentage change in weight and EE scores.ResultsThirty-four studies were included. The combined effect size for percentage weight change was -1.08% (95% CI: -1.66 to -0.49, I2 = 64.65%, n = 37), once adjusted for publication bias. Similarly, the combined effect size for percentage change in EE was -2.37%, (95% CI: -3.76 to -0.99, I2 = 87.77%, n = 46). Cognitive Behavioural Therapy showed the most promise for reducing weight and improving EE.ConclusionsInterventions to address EE showed promise in reducing EE and promoted a small amount of weight loss in adults living with overweight or obesity.
| S-EPMC9915727 | biostudies-literature
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:This systematic review examined change in eating disorder risk during weight management interventions. Four databases and clinical trials registries were searched in March and May 2022, respectively, to identify behavioral weight management intervention trials in adults with overweight/obesity measuring eating disorder symptoms at pre- and post-intervention or follow-up. Random effects meta-analyses were conducted examining within group change in risk. Of 12,023 screened, 49 were eligible (n = 6337, mean age range 22.1 to 59.9 years, mean (SD) 81(20.4)% female). Interventions ranged from 4 weeks to 18 months, with follow-up of 10 weeks to 36 months post-intervention. There was a within group reduction in global eating disorder scores (20 intervention arms; Hedges' g = -0.27; 95% CI -0.36, -0.17; I2 67.1%) and binge eating (49 intervention arms; -0.66; 95% CI -0.76, -0.56; I2 82.7%) post-intervention, both maintained at follow-up. Of 14 studies reporting prevalence or episodes of binge eating, all reported a reduction. Four studies reported eating disorder symptoms, not present at baseline, in a subset of participants (0%-6.5%). Overall, behavioral weight management interventions do not increase eating disorder symptoms for most adults; indeed, a modest reduction is seen post-intervention and follow-up. A small subset of participants may experience disordered eating; therefore, monitoring for the emergence of symptoms is important.
| S-EPMC10909435 | biostudies-literature
Project description:Understanding eating behaviors that contribute to overweight and obesity (OW/OB) is an important public health objective. One eating behavior known to contribute to overeating is eating in the absence of hunger (EAH). The Eating in the Absence of Hunger Questionnaire for Children was developed to assess external events and internal experiences that lead children to overeat. Despite the measure's adaptation for use with adults (i.e., EAH-A), its psychometric properties within this population have not been explored. This study assessed the psychometric properties of the EAH-A in sample of 311 treatment-seeking adults with OW/OB (mean BMI = 34.5 [5.1]; mean age = 46.3 [12.1]; 81.7% female; 20.6% Latinx, 59.2% white). The EAH-A contains 14 items and assesses three domains: negative affect eating (EAH-NAE), external eating, and fatigue/boredom eating, through two parallel sets of items assessing initiating EAH and continuing EAH. Exploratory Factor Analysis was performed with promax rotation and maximum likelihood factor extraction. Results supported a unitary factor of EAH, with scale responses driven by EAH-NAE items. Results may be explained in part by scale structure and domain imbalance favoring EAH-NAE items, or the true internal structure of EAH may consist of a singular latent construct. Follow-up analyses indicated redundancy of the scale's parallel sections. If researchers are primarily interested in EAH-NAE, only the three "start eating" or "keep eating" items may be needed. This study highlights the importance of validating the psychometric properties of a measure within intended populations to ensure interpretations are valid.
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