scholarly journals Effects of a Protein-Rich, Low-Glycaemic Meal Replacement on Changes in Dietary Intake and Body Weight Following a Weight-Management Intervention—The ACOORH Trial

Nutrients ◽  
2021 ◽  
Vol 13 (2) ◽  
pp. 376
Author(s):  
Martin Röhling ◽  
Andrea Stensitzky ◽  
Camila L. P. Oliveira ◽  
Andrea Beck ◽  
Klaus Michael Braumann ◽  
...  
Keyword(s):  
Dietary Intake ◽  
Energy Intake ◽  
Lifestyle Intervention ◽  
Weight Change ◽  
Protein Intake ◽  
Daily Energy Intake ◽  
Meal Replacement ◽  
Daily Energy ◽  
Protein Rich

Although meal replacement can lead to weight reduction, there is uncertainty whether this dietary approach implemented into a lifestyle programme can improve long-term dietary intake. In this subanalysis of the Almased Concept against Overweight and Obesity and Related Health Risk (ACOORH) study (n = 463), participants with metabolic risk factors were randomly assigned to either a meal replacement-based lifestyle intervention group (INT) or a lifestyle intervention control group (CON). This subanalysis relies only on data of participants (n = 119) who returned correctly completed dietary records at baseline, and after 12 and 52 weeks. Both groups were not matched for nutrient composition at baseline. These data were further stratified by sex and also associated with weight change. INT showed a higher increase in protein intake related to the daily energy intake after 12 weeks (+6.37% [4.69; 8.04] vs. +2.48% [0.73; 4.23], p < 0.001) of intervention compared to CON. Fat and carbohydrate intake related to the daily energy intake were more strongly reduced in the INT compared to CON (both p < 0.01). After sex stratification, particularly INT-women increased their total protein intake after 12 (INT: +12.7 g vs. CON: −5.1 g, p = 0.021) and 52 weeks (INT: +5.7 g vs. CON: −16.4 g, p = 0.002) compared to CON. Protein intake was negatively associated with weight change (r = −0.421; p < 0.001) after 12 weeks. The results indicate that a protein-rich dietary strategy with a meal replacement can improve long-term nutritional intake, and was associated with weight loss.

scholarly journals Nutritional intakes and associated factors among tuberculosis patients: a cross-sectional study in China

2019 ◽  
Vol 19 (1) ◽  
Author(s):  
Zhewen Ren ◽  
Fei Zhao ◽  
Hui Chen ◽  
Dongmei Hu ◽  
Wentao Yu ◽  
...  
Keyword(s):  
Energy Intake ◽  
Protein Intake ◽  
Associated Factors ◽  
Cross Sectional Study ◽  
Sectional Study ◽  
Daily Energy Intake ◽  
Cross Sectional ◽  
Female Patients ◽  
Daily Energy ◽  
Males And Females

Abstract Background The objectives of this study were to examine nutrient intakes of tuberculosis (TB) patients and to identify their associated factors. Methods In this cross-sectional study, 300 adult TB patients were surveyed in two impoverished counties in China. Nutrient intakes were evaluated through two consecutive 24-h dietary recalls and compared with the Chinese Dietary Reference Intakes (DRIs) 2013. The potential socio-demographic and behavioral factors were analyzed using multivariate logistic model to identify strong influential factors. Results We found that mean daily energy intake was 1655.0 kcal (SD: 619.3 kcal) and 1360.3 kcal (SD: 552.1 kcal) for male and female patients, respectively. The mean daily energy intake was significantly lower than that has been recommended by DRI (i.e., 2250 and 1800 kcal for males and females, respectively), with 87.4% of the male patients and 59.9% of female patients failed to consume adequate energy. The protein intakes were 44.6 g (SD: 18.2 g) and 35.9 g (SD: 12.3 g) for male and female patients, respectively, which were lower than the recommended values by DRI (i.e., 65 and 55 g for males and females, respectively). Most male (90.8%) and female (58.4%) TB patients had insufficient daily protein intake. Further analyses suggested that mean daily intakes of many micronutrients, were insufficient, while for most of patients, intakes of vitamin E and sodium were sufficient. We identified that unemployment was a risk factor for low energy intake (p < 0.05) and out-home-eating was a protective factor for low protein intake (p < 0.01). Conclusions In impoverished areas in China, intakes of macronutrients and most micronutrients in TB patients were inadequate compared with DRIs, especially for unemployed patients and patients eating at home. These findings suggested that public health actions are needed to promote education on TB patients about significance of nutritional support, and, further interventions in TB patients’ nutritional intakes are also required.

scholarly journals Time-Restricted Eating as a Nutrition Strategy for Individuals with Type 2 Diabetes: A Feasibility Study

Nutrients ◽  
2020 ◽  
Vol 12 (11) ◽  
pp. 3228 ◽  
Author(s):  
Evelyn B. Parr ◽  
Brooke L. Devlin ◽  
Karen H. C. Lim ◽  
Laura N. Z. Moresi ◽  
Claudia Geils ◽  
...  
Keyword(s):  
Type 2 Diabetes ◽  
Glycaemic Control ◽  
Dietary Intake ◽  
Energy Intake ◽  
Well Being ◽  
Cognitive Outcomes ◽  
Daily Energy Intake ◽  
Psychological Well Being ◽  
Daily Energy

Individuals with type 2 diabetes (T2D) require a long-term dietary strategy for blood glucose management and may benefit from time-restricted eating (TRE, where the duration between the first and last energy intake is restricted to 8–10 h/day). We aimed to determine the feasibility of TRE for individuals with T2D. Participants with T2D (HbA1c >6.5 to <9%, eating window >12 h/day) were recruited to a pre-post, non-randomised intervention consisting of a 2-week Habitual period to establish baseline dietary intake, followed by a 4-weeks TRE intervention during which they were instructed to limit all eating occasions to between 10:00 and 19:00 h on as many days of each week as possible. Recruitment, retention, acceptability, and safety were recorded throughout the study as indicators of feasibility. Dietary intake, glycaemic control, psychological well-being, acceptability, cognitive outcomes, and physiological measures were explored as secondary outcomes. From 594 interested persons, and 27 eligible individuals, 24 participants enrolled and 19 participants (mean ± SD; age: 50 ± 9 years, BMI: 34 ± 5 kg/m2, HbA1c: 7.6 ± 1.1%) completed the 6-week study. Overall daily dietary intake did not change between Habitual (~8400 kJ/d; 35% carbohydrate, 20% protein, 41% fat, 1% alcohol) and TRE periods (~8500 kJ/d; 35% carbohydrate, 19% protein, 42% fat, 1% alcohol). Compliance to the 9 h TRE period was 72 ± 24% of 28 days (i.e., ~5 days/week), with varied adherence (range: 4–100%). Comparisons of adherent vs. non-adherent TRE days showed that adherence to the 9-h TRE window reduced daily energy intake through lower absolute carbohydrate and alcohol intakes. Overall, TRE did not significantly improve measures of glycaemic control (HbA1c −0.2 ± 0.4%; p = 0.053) or reduce body mass. TRE did not impair or improve psychological well-being, with variable effects on cognitive function. Participants described hunger, daily stressors, and emotions as the main barriers to adherence. We demonstrate that 4-weeks of TRE is feasible and achievable for these individuals with T2D to adhere to for at least 5 days/week. The degree of adherence to TRE strongly influenced daily energy intake. Future trials may benefit from supporting participants to incorporate TRE in regular daily life and to overcome barriers to adherence.

scholarly journals Change in daily energy intake associated with pairwise compositional change in carbohydrate, fat and protein intake among US adults, 1999–2010

2014 ◽  
Vol 18 (8) ◽  
pp. 1343-1352 ◽  
Author(s):  
Ruopeng An ◽  
Nicholas A Burd
Keyword(s):  
Energy Intake ◽  
Protein Intake ◽  
Weight Status ◽  
Normal Weight ◽  
Compositional Change ◽  
Daily Energy Intake ◽  
Macronutrient Composition ◽  
Daily Energy ◽  
Race Ethnicity ◽  
The Relationship

AbstractObjectiveTo assess the change in daily energy intake associated with pairwise compositional change in carbohydrate, fat and protein intake among US adults stratified by sex, race/ethnicity and weight status.DesignLinear mixture model was performed to estimate the relationship between daily energy intake and macronutrient composition, adjusted for age and alcohol consumption, and accounting for survey design.SettingStudy sample from the National Health and Nutrition Examination Survey, 1999–2010 waves.SubjectsA total of 27 589 US adults aged 20 years and older were included in the study. Dietary macronutrient intake was calculated from 24 h dietary recall and BMI from objectively measured weight/height.ResultsAcross all population subgroups, substituting protein or carbohydrate for fat and substituting protein for carbohydrate were associated with decreased daily energy intake, with the largest effect resulting from substituting protein for fat. A 1 % increase in the percentage of energy from protein substituted for a 1 % decrease in the percentage of energy from fat was associated with a decrease in daily energy intake of 268·2 (95 % CI 169·0, 367·4) kJ, 289·5 (95 % CI 215·9, 363·2) kJ and 293·7 (95 % CI 210·0, 377·4) kJ among normal-weight (18·5≤BMI, kg/m2<25·0), overweight (25·0≤BMI, kg/m2<30·0) and obese (BMI≥30·0 kg/m2) men, and 177·4 (95 % CI 130·5, 224·3) kJ, 188·7 (95 % CI 139·3, 238·1) kJ and 204·2 (95 % CI 158·2, 250·2) kJ among normal-weight, overweight and obese women, respectively. The relationship between macronutrient composition and daily energy intake varied substantially across sex, race/ethnicity and weight status.ConclusionsPolicies promoting higher daily protein intake at the expense of lower fat intake could be effective in reducing total energy intake among US adults.

scholarly journals Timing and Frequency of Daily Energy Intake in Adults with Prediabetes and Overweight or Obesity and Their Associations with Body Fat

Nutrients ◽  
2020 ◽  
Vol 12 (11) ◽  
pp. 3484
Author(s):  
Christina Sonne Mogensen ◽  
Kristine Færch ◽  
Lea Bruhn ◽  
Hanan Amadid ◽  
Inge Tetens ◽  
...  
Keyword(s):  
Dietary Intake ◽  
Energy Intake ◽  
Body Fat ◽  
Cardiometabolic Health ◽  
Body Fat Percentage ◽  
Eating Patterns ◽  
Daily Energy Intake ◽  
Fat Percentage ◽  
Daily Energy

Knowledge on how energy intake and macronutrients are distributed during the day and the role of daily eating patterns in body composition among adults with overweight/obesity and prediabetes is lacking. Therefore, we evaluated the diurnal dietary intake and studied the associations of daily eating patterns with body fat percentage. A total of 119 adults with prediabetes were included (mean (SD) HbA1c 41 (2.3) mmol/mol, BMI 31.5 (5.0) kg/m2, age 57.8 (9.3) years, 44% men). Information on dietary intake was obtained from self-reported food records for three consecutive days. All foods and beverages (except water) were registered with information on time of ingestion. Body fat was measured by dual-energy X-ray absorptiometry. A total of 60.5% of the participants reported a daily eating window of 12 or more hours/day, and almost half of the daily total energy intake was reported in the evening. In analyses adjusted for age, gender, and total daily energy intake, having the first daily energy intake one hour later was associated with slightly higher body fat percentage (0.64% per hour, 95% CI: 0.28; 1.01; p < 0.001), whereas higher meal frequency was associated with slightly lower body fat percentage (0.49% per extra daily meal, 95% CI: −0.81; −0.18; p = 0.002). Prospective studies are warranted to address the clinical implications of daily eating patterns on body fat and cardiometabolic health.

Elite Premenarcheal Rhythmic Gymnasts Demonstrate Energy and Dietary Intake Deficiencies During Periods of Intense Training

2011 ◽  
Vol 23 (4) ◽  
pp. 560-572 ◽  
Author(s):  
Eleni Michopoulou ◽  
Alexandra Avloniti ◽  
Antonios Kambas ◽  
Diamanda Leontsini ◽  
Maria Michalopoulou ◽  
...  
Keyword(s):  
Energy Expenditure ◽  
Dietary Intake ◽  
Energy Intake ◽  
Resting Metabolic Rate ◽  
Energy Deficit ◽  
Daily Energy Expenditure ◽  
Daily Energy Intake ◽  
Daily Energy ◽  
Intense Training ◽  
Rhythmic Gymnasts

This study determined dietary intake and energy balance of elite premenarcheal rhythmic gymnasts during their preseason training. Forty rhythmic gymnasts and 40 sedentary age-matched females (10–12 yrs) participated in the study. Anthropometric profile and skeletal ages were determined. Dietary intake and physical activity were assessed to estimate daily energy intake, daily energy expenditure, and resting metabolic rate. Groups demonstrated comparable height, bone age, pubertal development, resting metabolic rate. Gymnasts had lower body mass, BMI, body fat than age-matched controls. Although groups demonstrated comparable daily energy intake, gymnasts exhibited a higher daily energy expenditure resulting in a daily energy deficit. Gymnasts also had higher carbohydrate intake but lower fat and calcium intake. Both groups were below the recommended dietary allowances for fiber, water, calcium, phosphorus and vitamin intake. Gymnasts may need to raise their daily energy intake to avoid the energy deficit during periods of intense training.

Abstract 08: Daily Energy Intake Distribution And Weight Gain In Women

Circulation ◽  
2014 ◽  
Vol 129 (suppl_1) ◽  
Author(s):  
Martin Lajous ◽  
Emilie Rossignol ◽  
Agnes Fournier ◽  
Guy Fagherazzi ◽  
Beverley Balkau ◽  
...  
Keyword(s):  
Weight Gain ◽  
Energy Intake ◽  
Weight Change ◽  
P Value ◽  
Healthy Weight ◽  
Daily Energy Intake ◽  
Positive Weight ◽  
Eating Frequency ◽  
Validated Questionnaire ◽  
Daily Energy

Background: Evidence points to an inverse relation between breakfast and obesity. Little information is available on the distribution of energy intake during the day and weight gain. Methods: We evaluated the relation of the distribution of daily energy intake, eating frequency and weight change and weight gain in a prospective study of 61,543 disease-free French women in the E3N- EPIC cohort. At baseline in 1993, participants responded to a validated questionnaire on habitual diet over eight possible daily eating occasions. We calculated energy intake at various moments during the day. Women were categorized according to the energy distribution (% energy of total) for each eating moment into quintiles and according to the number of calorie-containing meals. Self-reported weight was updated on six occasions after baseline, using mailed questionnaires. Linear mixed models were used to evaluate mean weight change and Cox models to assess weight gain ≥5kg. Results: Between 1993 and 2008, the mean weight change was +2.45 kg (SD± 0.2) and 22,808 women gained ≥5kg. After multivariable adjustment (including total energy), higher energy intake at breakfast was associated with a lower positive weight change from baseline, while higher energy intake at night was associated with a higher positive weight change (p-value <0.0001) (Figure). No association was observed for energy intake at midday or mid-afternoon. In multivariable models, HRs of gaining ≥5kg were 0.90 (95%CI 0.86-0.94; p-trend <0.0001) and 1.09 (95%CI 1.04-1.15; p-trend <0.0001) for women in the highest compared to the lowest energy consumption category at breakfast and at dinner, respectively. Conversely, eating frequency was directly associated to weight change (p-value <0.0001) but not ≥5kg weight gain. Conclusion: Higher percent energy intake at breakfast was associated with a lower weight gain, while higher percent energy intake at dinner was associated with higher weight gain. The distribution of daily energy may be important for maintaining a healthy weight.

scholarly journals Screen time and eating during screen time: associations with dietary intake in children and adolescents

2020 ◽  
Author(s):  
Melissa L Jensen ◽  
Francesca Dillman Carpentier ◽  
Camila Corvalán ◽  
Barry M. Popkin ◽  
Kelly Evenson ◽  
...  
Keyword(s):  
Dietary Intake ◽  
Children And Adolescents ◽  
Energy Intake ◽  
Screen Time ◽  
Overweight And Obesity ◽  
Daily Energy Intake ◽  
Daily Consumption ◽  
Tv Viewing ◽  
Daily Energy ◽  
Eating Occasions

Abstract Background: Increased TV viewing is associated with overweight and obesity in children and adolescents. Excess weight gain might be a result of increased dietary intake during television viewing, eating foods that are highly advertised at other times, or lack of physical activity. The objectives of this cross-sectional study were (1) to determine the extent of screen time and eating during screen time, and the correlation between these two different exposures, (2) to compare food and nutrient consumption of on- versus off-screen eating occasions, and (3) to determine whether screen time and eating during screen time is associated with overall dietary intake. Methods: Participants were part of the Food Environment Chilean Cohort (FEChiC, n=938, 4-6 y) and the Growth and Obesity Cohort Study (GOCS, n=752, 12-14 y), recruited in the southeast region of Santiago, Chile in 2016. Dietary data was collected via 24-h food recalls. For each eating occasion, participants or their primary caregiver reported activity performed during consumption. Analyses included Spearman correlations, multivariable linear regression models and logistic regression. For daily consumption analyses, post-hoc pairwise comparisons examined differences in our main outcomes by tertiles. Results: In our sample, 87.5% reported consuming at least one meal or snack per day while on a screen. The median kilocalories contributed by eating during screen time was 387 kcal/d in children and 848 kcal/day in adolescents, which represents 34.7% and 42.3% of daily energy intake, respectively. There were no consistent differences in the nutrient profile or food groups consumed for either age group when comparing eating occasions consumed on-screen versus off-screen. Daily consumption analyses revealed that higher weekly hours of TV viewing was associated with elements of a less healthy diet including more sweets and desserts in children, and more sugar sweetened beverages in adolescents. Conclusions: A large percentage of children and adolescents’ daily energy intake is consumed while watching television or on their phone. In depth, longitudinal work is needed to understand how screen time eating affects diet quality and nutritional status.

scholarly journals Does Increased Exercise or Physical Activity Alter Ad-Libitum Daily Energy Intake or Macronutrient Composition in Healthy Adults? A Systematic Review

PLoS ONE ◽  
2014 ◽  
Vol 9 (1) ◽  
pp. e83498 ◽  
Author(s):  
Joseph E. Donnelly ◽  
Stephen D. Herrmann ◽  
Kate Lambourne ◽  
Amanda N. Szabo ◽  
Jeffery J. Honas ◽  
...  
Keyword(s):  
Physical Activity ◽  
Systematic Review ◽  
Energy Intake ◽  
Healthy Adults ◽  
Daily Energy Intake ◽  
Macronutrient Composition ◽  
Daily Energy ◽  
Ad Libitum
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