1
|
Yiblet Y. Nutritional Composition and Antinutritional Factors of Five Wild Edible Fruits Grown in the Mekdela District, South of Wollo, Ethiopia. ScientificWorldJournal 2024; 2024:9980936. [PMID: 38510569 PMCID: PMC10954358 DOI: 10.1155/2024/9980936] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/22/2023] [Revised: 02/22/2024] [Accepted: 03/05/2024] [Indexed: 03/22/2024] Open
Abstract
This study was carried out to determine the mineral content and nutritional properties of five wild fruits Rhus vulgaris, Rosa abyssinica, Rhus natalensis, Euclea racemosa, and Ficus sur. The proximate composition parameters (moisture, ash, crude fiber, crude fat, and crude protein) and antinutritional factors were evaluated using methods of the Association of Official Analytical Chemists and elemental analysis using the atomic absorption spectroscopy technique. Among the five wild edible fruit species, Rhus vulgaris had the highest carbohydrate content (83.3 ± 0.28 g/100 g) and a high total energy (344.5 ± 2.21 kcal/100 g). Euclea racemosa was found to have the maximum ash content (12.8 ± 0.37 g/100 g), protein content (3.22 ± 0.01 g/100 g), and moisture (16.24 ± 0.003 g/100 g), respectively. Rhus natalensis showed the highest fiber content (9.54 ± 0.003 g/100 g). Mineral analysis showed that local wild fruits contained a considerable amount of minerals. The calcium concentration ranged from 99.51 mg/100 g in Euclea racemosa to 160.12 mg/100 g in Ficus sur. Potassium concentration varied from 54.34 mg/100 g in Euclea racemosa to 234 mg/100 g in Rhus vulgaris. Iron ranges from 21.4 mg/100 g in Rosa abyssinica to 41 mg/100 g in Rhus natalensis, and zinc ranges from 2.3 mg/100 g in Rhus vulgaris to 4.2 mg/100 g in Ficus sur. A high saponin content (2.12 mg/100 g) and a low tannin content (0.23 mg/100 g) were obtained in Rosa abyssinica. The phytate content (1.52 mg/100 g) and the oxalate content (0.9 mg/100 g) were high in Rhus natalensis. In conclusion, the present study shows that wild fruits can be used as food supplementation in food in a safe area.
Collapse
Affiliation(s)
- Yalew Yiblet
- Department of Biology, College of Natural and Computational Sciences, Mekdela Amba University, P.O. Box 32, Tuluawlia, Ethiopia
| |
Collapse
|
2
|
Liu H, Feng J, Shi Z, Su J, Sun J, Wu F, Zhu Z. Effects of a Novel Applet-Based Personalized Dietary Intervention on Dietary Intakes: A Randomized Controlled Trial in a Real-World Scenario. Nutrients 2024; 16:565. [PMID: 38398889 PMCID: PMC10892066 DOI: 10.3390/nu16040565] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/24/2024] [Revised: 02/12/2024] [Accepted: 02/16/2024] [Indexed: 02/25/2024] Open
Abstract
The objective of this study was to assess the feasibility and effectiveness of a novel WeChat applet-based personalized dietary intervention aimed at promoting healthier dietary intakes. A two-arm parallel, randomized, controlled trial was conducted in a real-world scenario and involved a total of 153 participants (the intervention group, n = 76; the control group, n = 77), lasting for 4 months in Shanghai, China. The intervention group had access to visualized nutrition evaluations through the applet during workday lunch time, while the control group received no interventions. A total of 3413 lunch dietary intake records were captured through the applet. Linear mixed models were utilized to assess the intervention effects over time. At baseline, the participants' lunchtime dietary intakes were characterized by insufficient consumption of plant foods (86.9% of the participants) and excessive intake of animal foods (79.7% of the participants). Following the commencement of the intervention, the intervention group showed a significant decrease in the animal/plant food ratio (β = -0.03/week, p = 0.024) and the consumption of livestock and poultry meat (β = -1.80 g/week, p = 0.035), as well as a borderline significant increase in the consumption of vegetables and fruits (β = 3.22 g/week, p = 0.055) and plant foods (β = 3.26 g/week, p = 0.057) over time at lunch compared to the control group. The applet-based personalized dietary intervention was feasible and effective in improving dietary intakes and, consequently, possibly may manage body weight issues in real-world scenarios.
Collapse
Affiliation(s)
- Hongwei Liu
- School of Public Health, Fudan University, Shanghai 200032, China; (H.L.); (J.F.)
| | - Jingyuan Feng
- School of Public Health, Fudan University, Shanghai 200032, China; (H.L.); (J.F.)
| | - Zehuan Shi
- Division of Health Risk Factors Monitoring and Control, Shanghai Municipal Center for Disease Control and Prevention, Shanghai 200336, China; (Z.S.); (J.S.)
| | - Jin Su
- Division of Health Risk Factors Monitoring and Control, Shanghai Municipal Center for Disease Control and Prevention, Shanghai 200336, China; (Z.S.); (J.S.)
| | - Jing Sun
- National Institute for Nutrition and Health, Chinese Center for Disease Control and Prevention, Beijing 100050, China;
| | - Fan Wu
- School of Public Health, Fudan University, Shanghai 200032, China; (H.L.); (J.F.)
| | - Zhenni Zhu
- Division of Health Risk Factors Monitoring and Control, Shanghai Municipal Center for Disease Control and Prevention, Shanghai 200336, China; (Z.S.); (J.S.)
| |
Collapse
|
3
|
Jiménez-Casquet MJ, Conde-Pipo J, Valenzuela-Barranco I, Rienda-Contreras R, Olea-Serrano F, Monserrat-Mesquida M, Tur JA, Bouzas C, Mariscal-Arcas M. Cross-Sectional Study of the Anthropometric Profile and Nutrient Status of Elite Female Ice Hockey Players: Differences by Play Position. Nutrients 2024; 16:471. [PMID: 38398795 PMCID: PMC10891979 DOI: 10.3390/nu16040471] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/04/2023] [Revised: 02/04/2024] [Accepted: 02/05/2024] [Indexed: 02/25/2024] Open
Abstract
Both the characteristics of ice hockey and the environmental conditions in which it is played affect the maintenance of the player's nutritional status and, therefore, their state of health and performance. The primary aim of this work was to examine the anthropometric profile, estimated energy expenditure, and macronutrient and micronutrient dietary intake of elite female ice hockey players by play position. As a secondary aim, their dietary intakes were compared with the recommendations. Hypotheses suggest variations in body composition based on ice hockey players' positions, with the expectation that these athletes may not align with energy and nutrient recommendations. Fifteen elite female ice hockey players were anthropometrically measured, basal metabolic rate and total energy expenditure were estimated, a 3-day, 24 h recall questionnaire was registered, and the results were compared with the recommended dietary intake for the Spanish population. Each player's position on the field requires an individualized physical and nutritional approach. There are no significant imbalances (p > 0.05) between energy and nutrient intake in relation to the Recommended Daily Intake (RDI); however, increasing the consumption of vegetables and seafood while reducing meat and fat intake would assist these athletes in maintaining a healthier energy balance, optimizing body composition, and aligning with nutritional parameters that are better suited to enhance physical performance.
Collapse
Affiliation(s)
- María José Jiménez-Casquet
- Health Science and Nutrition Research (HSNR-CTS1118), Department of Nutrition and Food Science, School of Pharmacy, University of Granada, 18071 Granada, Spain (J.C.-P.); (F.O.-S.); (M.M.-A.)
| | - Javier Conde-Pipo
- Health Science and Nutrition Research (HSNR-CTS1118), Department of Nutrition and Food Science, School of Pharmacy, University of Granada, 18071 Granada, Spain (J.C.-P.); (F.O.-S.); (M.M.-A.)
| | | | - Raquel Rienda-Contreras
- Department of Sports and Women, Andalusian Federation of Winter Sports (FADI), 18008 Granada, Spain;
| | - Fátima Olea-Serrano
- Health Science and Nutrition Research (HSNR-CTS1118), Department of Nutrition and Food Science, School of Pharmacy, University of Granada, 18071 Granada, Spain (J.C.-P.); (F.O.-S.); (M.M.-A.)
- Instituto de Investigación Biosanitaria de Granada (ibs.GRANADA), 18012 Granada, Spain
| | - Margalida Monserrat-Mesquida
- Research Group on Community Nutrition and Oxidative Stress, Laboratory of Physical Activity Sciences, University of Balearic Islands-IUNICS, 07122 Palma de Mallorca, Spain; (M.M.-M.); (J.A.T.)
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, 28029 Madrid, Spain
- Health Research Institute of the Balearic Islands, 07120 Palma de Mallorca, Spain
| | - Josep A. Tur
- Research Group on Community Nutrition and Oxidative Stress, Laboratory of Physical Activity Sciences, University of Balearic Islands-IUNICS, 07122 Palma de Mallorca, Spain; (M.M.-M.); (J.A.T.)
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, 28029 Madrid, Spain
- Health Research Institute of the Balearic Islands, 07120 Palma de Mallorca, Spain
| | - Cristina Bouzas
- Research Group on Community Nutrition and Oxidative Stress, Laboratory of Physical Activity Sciences, University of Balearic Islands-IUNICS, 07122 Palma de Mallorca, Spain; (M.M.-M.); (J.A.T.)
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, 28029 Madrid, Spain
- Health Research Institute of the Balearic Islands, 07120 Palma de Mallorca, Spain
| | - Miguel Mariscal-Arcas
- Health Science and Nutrition Research (HSNR-CTS1118), Department of Nutrition and Food Science, School of Pharmacy, University of Granada, 18071 Granada, Spain (J.C.-P.); (F.O.-S.); (M.M.-A.)
- Instituto de Investigación Biosanitaria de Granada (ibs.GRANADA), 18012 Granada, Spain
| |
Collapse
|
4
|
Bruhn L, Vistisen D, Amadid H, Clemmensen KKB, Karstoft K, Ried-Larsen M, Persson F, Jørgensen ME, Møller CL, Stallknecht B, Færch K, Blond MB. Predicting the HbA 1c level following glucose-lowering interventions in individuals with HbA 1c-defined prediabetes: a post-hoc analysis from the randomized controlled PRE-D trial. Endocrine 2023:10.1007/s12020-023-03384-w. [PMID: 37198379 DOI: 10.1007/s12020-023-03384-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/15/2023] [Accepted: 04/23/2023] [Indexed: 05/19/2023]
Abstract
PURPOSE To investigate whether the prediction of post-treatment HbA1c levels can be improved by adding an additional biomarker of the glucose metabolism in addition to baseline HbA1c. METHODS We performed an exploratory analysis based on data from 112 individuals with prediabetes (HbA1c 39-47 mmol) and overweight/obesity (BMI ≥ 25 kg/m2), who completed 13 weeks of glucose-lowering interventions (exercise, dapagliflozin, or metformin) or control (habitual living) in the PRE-D trial. Seven prediction models were tested; one basic model with baseline HbA1c as the sole glucometabolic marker and six models each containing one additional glucometabolic biomarker in addition to baseline HbA1c. The additional glucometabolic biomarkers included: 1) plasma fructosamine, 2) fasting plasma glucose, 3) fasting plasma glucose × fasting serum insulin, 4) mean glucose during a 6-day free-living period measured by a continuous glucose monitor 5) mean glucose during an oral glucose tolerance test, and 6) mean plasma glucose × mean serum insulin during the oral glucose tolerance test. The primary outcome was overall goodness of fit (R2) from the internal validation step in bootstrap-based analysis using general linear models. RESULTS The prediction models explained 46-50% of the variation (R2) in post-treatment HbA1c with standard deviations of the estimates of ~2 mmol/mol. R2 was not statistically significantly different in the models containing an additional glucometabolic biomarker when compared to the basic model. CONCLUSION Adding an additional biomarker of the glucose metabolism did not improve the prediction of post-treatment HbA1c in individuals with HbA1c-defined prediabetes.
Collapse
Affiliation(s)
- Lea Bruhn
- Steno Diabetes Center Copenhagen, Herlev, Denmark
| | | | - Hanan Amadid
- Steno Diabetes Center Copenhagen, Herlev, Denmark
| | | | - Kristian Karstoft
- The Centre of Inflammation and Metabolism and the Centre for Physical Activity Research, Rigshospitalet, University of Copenhagen, Copenhagen, Denmark
- Department of Clinical Pharmacology, Bispebjerg-Frederiksberg Hospital, University of Copenhagen, Copenhagen, Denmark
| | - Mathias Ried-Larsen
- The Centre of Inflammation and Metabolism and the Centre for Physical Activity Research, Rigshospitalet, University of Copenhagen, Copenhagen, Denmark
| | | | - Marit E Jørgensen
- Steno Diabetes Center Copenhagen, Herlev, Denmark
- National Institute of Public Health, University of Southern Denmark, Odense, Denmark
| | | | - Bente Stallknecht
- Department of Biomedical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Kristine Færch
- Steno Diabetes Center Copenhagen, Herlev, Denmark
- Department of Biomedical Sciences, University of Copenhagen, Copenhagen, Denmark
| | | |
Collapse
|
5
|
Dote-Montero M, Acosta FM, Sanchez-Delgado G, Merchan-Ramirez E, Amaro-Gahete FJ, Labayen I, Ruiz JR. Association of meal timing with body composition and cardiometabolic risk factors in young adults. Eur J Nutr 2023:10.1007/s00394-023-03141-9. [PMID: 37100891 DOI: 10.1007/s00394-023-03141-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/15/2022] [Accepted: 03/24/2023] [Indexed: 04/28/2023]
Abstract
PURPOSE To investigate the association of meal timing with body composition and cardiometabolic risk factors in young adults. METHODS In this cross-sectional study participated 118 young adults (82 women; 22 ± 2 years old; BMI: 25.1 ± 4.6 kg/m2). Meal timing was determined via three non-consecutive 24-h dietary recalls. Sleep outcomes were objectively assessed using accelerometry. The eating window (time between first and last caloric intake), caloric midpoint (local time at which ≥ 50% of daily calories are consumed), eating jetlag (variability of the eating midpoint between non-working and working days), time from the midsleep point to first food intake, and time from last food intake to midsleep point were calculated. Body composition was determined by DXA. Blood pressure and fasting cardiometabolic risk factors (i.e., triglycerides, total cholesterol, high-density lipoprotein-cholesterol, low-density lipoprotein-cholesterol, and insulin resistance) were measured. RESULTS Meal timing was not associated with body composition (p > 0.05). The eating window was negatively related to HOMA-IR and cardiometabolic risk score in men (R2 = 0.348, β = - 0.605; R2 = 0.234, β = - 0.508; all p ≤ 0.003). The time from midsleep point to first food intake was positively related to HOMA-IR and cardiometabolic risk score in men (R2 = 0.212, β = 0.485; R2 = 0.228, β = 0.502; all p = 0.003). These associations remained after adjusting for confounders and multiplicity (all p ≤ 0.011). CONCLUSIONS Meal timing seems unrelated to body composition in young adults. However, a longer daily eating window and a shorter time from midsleep point to first food intake (i.e., earlier first food intake in a 24 h cycle) are associated with better cardiometabolic health in young men. CLINICAL TRIAL REGISTRATION NCT02365129 ( https://www. CLINICALTRIALS gov/ct2/show/NCT02365129?term=ACTIBATE&draw=2&rank=1 ).
Collapse
Affiliation(s)
- Manuel Dote-Montero
- Department of Physical Education and Sports, Faculty of Sports Science, Sport and Health University Research Institute (iMUDS), University of Granada, Carretera de Alfacar s/n, 18071, Granada, Spain.
| | - Francisco M Acosta
- Department of Physical Education and Sports, Faculty of Sports Science, Sport and Health University Research Institute (iMUDS), University of Granada, Carretera de Alfacar s/n, 18071, Granada, Spain
- Turku PET Centre, University of Turku, Turku, Finland
- Turku PET Centre, Turku University Hospital, Turku, Finland
- InFLAMES Research Flagship Center, University of Turku, Turku, Finland
| | - Guillermo Sanchez-Delgado
- Department of Physical Education and Sports, Faculty of Sports Science, Sport and Health University Research Institute (iMUDS), University of Granada, Carretera de Alfacar s/n, 18071, Granada, Spain
- Division of Endocrinology, Department of Medicine, Centre de Recherche du Centre Hospitalier Universitaire de Sherbrooke, Université de Sherbrooke, Sherbrooke, QC, Canada
- CIBER de Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III, Granada, Spain
- Instituto de Investigación Biosanitaria, Ibs.Granada, Granada, Spain
| | - Elisa Merchan-Ramirez
- Department of Physical Education and Sports, Faculty of Sports Science, Sport and Health University Research Institute (iMUDS), University of Granada, Carretera de Alfacar s/n, 18071, Granada, Spain
| | - Francisco J Amaro-Gahete
- Department of Physical Education and Sports, Faculty of Sports Science, Sport and Health University Research Institute (iMUDS), University of Granada, Carretera de Alfacar s/n, 18071, Granada, Spain
- CIBER de Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III, Granada, Spain
- Instituto de Investigación Biosanitaria, Ibs.Granada, Granada, Spain
| | - Idoia Labayen
- CIBER de Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III, Granada, Spain
- Institute for Sustainability and Food Chain Innovation (ISFOOD), University of Navarra, Pamplona, Spain
- Navarra Institute for Health Research, IdiSNA, Pamplona, Spain
- Department of Health Sciences, Public University of Navarra, Campus de Arrosadia, Pamplona, Spain
| | - Jonatan R Ruiz
- Department of Physical Education and Sports, Faculty of Sports Science, Sport and Health University Research Institute (iMUDS), University of Granada, Carretera de Alfacar s/n, 18071, Granada, Spain.
- CIBER de Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III, Granada, Spain.
- Instituto de Investigación Biosanitaria, Ibs.Granada, Granada, Spain.
| |
Collapse
|
6
|
Mazri FH, Manaf ZA, Shahar S, Mat Ludin AF, Karim NA. Improvement in chrono-nutrition is associated with robust weight loss outcomes: An extension of the feasibility study. Chronobiol Int 2023; 40:272-283. [PMID: 36803265 DOI: 10.1080/07420528.2023.2165092] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/22/2023]
Abstract
Previously we had demonstrated the development and feasibility of an integrated chrono-nutrition weight reduction program among non-shift workers with morning and evening chronotypes. In this current paper, we described the association between the changes in chrono-nutrition practice and weight loss outcomes upon completing the weight reduction program. A total of 91 overweight/obese non-shift workers participated in the 12-week integrated chrono-nutrition weight reduction program (Age: 39.6 ± 6.3 y; 74.7% women; BMI: 31.2 ± 4.5 kg/m2). All the assessments including anthropometry, dietary, sleep habits, physical activity, and process of change were measured during pre- and post-intervention. Participants who had lost ≥3% of their body weight were categorized as satisfactory weight loss outcome, and those who did not achieve 3% weight loss were categorized as unsatisfactory weight loss. The satisfactory weight loss had greater daily percent energy intake during earlier in the day from protein (Mean difference (MD): +3.2%, 95% CI: 1.6, 4.9, p < .001) and smaller intake from fat during later in the day (MD: -2.6%, 95% CI: -5.1, -0.1, p = .045), earlier last mealtime (MD: -49.5 min, 95% CI: -86.5, -12.6, p = .009) and midpoint of eating (MD: -27.3 min, 95% CI: -46.3, -8.2, p = .006), shorter eating window (-0.8 h, 95% CI: -1.4, -0.1, p = .031) and greater reduction in night eating syndrome score (MD: -2.4, 95% CI: -4.3, -0.5, p = .015) compared to unsatisfactory weight loss outcome. After accounting for potential confounders, the temporal pattern of energy, protein, and fat intake were associated with greater odds of achieving a satisfactory weight loss. The findings suggest a promising role of chrono-nutrition as one of the strategies in weight reduction intervention.
Collapse
Affiliation(s)
- F H Mazri
- Dietetic Program and Centre for Healthy Aging and Wellness, Faculty of Health Sciences, Universiti Kebangsaan Malaysia, Kuala Lumpur, Malaysia
| | - Z A Manaf
- Dietetic Program and Centre for Healthy Aging and Wellness, Faculty of Health Sciences, Universiti Kebangsaan Malaysia, Kuala Lumpur, Malaysia
| | - S Shahar
- Dietetic Program and Centre for Healthy Aging and Wellness, Faculty of Health Sciences, Universiti Kebangsaan Malaysia, Kuala Lumpur, Malaysia
| | - A F Mat Ludin
- Biomedical Science Program and Centre for Healthy Aging and Wellness, Faculty of Health Sciences, Universiti Kebangsaan Malaysia, Kuala Lumpur, Malaysia
| | - N A Karim
- Department of Biochemistry, Faculty of Medicine, Universiti Kebangsaan Malaysia Medical Centre, Kuala Lumpur, Malaysia
| |
Collapse
|
7
|
The Relationship of Physical Activity and Dietary Quality with Android Fat Composition and Distribution in US Adults. Nutrients 2022; 14:nu14142804. [PMID: 35889761 PMCID: PMC9318818 DOI: 10.3390/nu14142804] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/13/2022] [Revised: 07/06/2022] [Accepted: 07/06/2022] [Indexed: 02/05/2023] Open
Abstract
This study examined the relationship of physical activity (PA) and dietary quality to android fat composition and distribution using a national representative adult sample and determined sex-based differences in these relationships. It is a cross-sectional (n = 10,014) analysis of the 2011−2018 National Health and Nutrition Examination Survey and the US department of Agriculture’s Food Patterns Equivalents datasets. Variables utilized for this analysis include PA, 24-h dietary recalls, android percent fat, and android-gynoid (A/G) ratio measured by dual-energy X-ray absorptiometry. Multiple linear regression was performed to examine the relationship between PA and/or dietary quality and android percent fat and A/G ratio adjusted for confounding factors. The study results revealed that PA and/or dietary quality were inversely related to android percent fat and A/G ratio (p < 0.05), but the sex effect was only seen between PA and A/G ratio (p = 0.003). Participants who met PA recommendations and had higher dietary quality had 2.12% lower android fat than those who did not meet PA recommendations and had lower dietary quality (p < 0.001). Both PA and dietary quality are associated with android fat reduction regardless of sex. Given the direct connection between android fat and cardiovascular and metabolic diseases, it is important to increase both PA and dietary quality.
Collapse
|
8
|
Hashemi SJ, Karandish M, Cheraghian B, Azhdari M. Prevalence of prediabetes and associated factors in southwest iran: results from Hoveyzeh cohort study. BMC Endocr Disord 2022; 22:72. [PMID: 35305637 PMCID: PMC8933994 DOI: 10.1186/s12902-022-00990-z] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/19/2021] [Accepted: 03/15/2022] [Indexed: 12/25/2022] Open
Abstract
BACKGROUND Increasing trend of prediabetes and diabetes is a global public health issue. On the other hand, prediabetes can increase the risk of developing some non-communicable diseases, including type 2 diabetes, cardiovascular disease, hypertension, fatty liver disease, etc. Given that there are modifiable various risk factors for prediabetes, this cross-sectional study aimed to evaluate the prevalence of prediabetes and its risk factors among adults. METHODS The present study included the baseline data from the Prospective Epidemiological Research Studies of the Iranian Adult and Neonates (PERSIAN), Hoveyzeh Cohort Study (N = 10,009). The demographic data, lifestyle habits, anthropometric data, and clinical and biochemical parameters were gathered. The odds ratio of prediabetes was assessed by logistic regression. RESULTS The final analysis was conducted on 7629 participants. The prevalence of overweight (36.7%), obesity (37.5%), prediabetes (30.29%), abnormal high density lipoprotein (35.4%), cholesterol (33.8%) and triglyceride (39.7%), and HTN (21.3%) were common. In the adjusted analysis, there were higher odds of having prediabetes for overweight (OR = 1.9, 95% CI: (1.19, 3.03), p = 0.007), obesity (OR = 3.18, 95% CI: (1.99, 5.07), p < 0.001), waist circumstance (WC) (OR = 1.024, 95% CI: (1.002, 1.03), p < 0.001), hip circumstance (HC) (OR = 1.01, 95% CI: (1.003, 1.02), p = 0.008), older age (OR = 1.04, 95% CI: (1.04, 1.05), p < 0.001), hypertension (OR = 1.38, 95% CI: (1.21, 1.57), p < 0.001),), glutamic-pyruvic transaminase (OR = 1.013, 95% CI: (1.007, 1.019), p = 0.001), glutamic-oxaloacetic transaminase (OR = 1.01, 95% CI: (1.006, 1.013), p < 0.001), triglyceride = 150-199 mg/dl (OR = 1.32, 95% CI: (1.16, 1.51), p < 0.001), triglyceride ≥ 200 mg/dl (OR = 1.64 (95% CI: 1.44, 1.86), p < 0.001), cholesterol = 200- 239 mg/dl (OR = 1.33, 95% CI: (1.18, 1.49), p < 0.001), and cholesterol ≥ 240 mg/dl (OR = 2.04, 95% CI: (1.72, 2.42), p < 0.001) in general population. CONCLUSION The prevalence of prediabetes, overweight, obesity, HTN, and dyslipidemia was common. The greater chances of prediabetes were related to aging, overweight, obesity, HTN, higher liver enzymes, HC, abnormal WC, and dyslipidemia. It seems that practical interventions are necessary to prevent prediabetes.
Collapse
Affiliation(s)
- Seyed Jalal Hashemi
- School of Medicine, Alimentary Tract Research Center, Clinical Sciences Research Institute, Ahvaz Jundishapur University of Medical Sciences, Ahvaz, Iran
| | - Majid Karandish
- Nutrition and Metabolic Diseases Research Center, Clinical Sciences Research Institute, Ahvaz Jundishapur University of Medical Sciences, Ahvaz, Iran
| | - Bahman Cheraghian
- Department of Biostatistics and Epidemiology, School of Public Health, Alimentary Tract Research Center, Clinical Sciences Research Institute, Ahvaz Jundishapur University of Medical Sciences, Ahvaz, Iran
| | - Maryam Azhdari
- Department of Nutrition, School of Public Health, Shahid Sadoughi University of Medical Sciences and Health Services, Yazd, Iran.
| |
Collapse
|
9
|
Popp CJ, Curran M, Wang C, Prasad M, Fine K, Gee A, Nair N, Perdomo K, Chen S, Hu L, St-Jules DE, Manoogian ENC, Panda S, Sevick MA, Laferrère B. Temporal Eating Patterns and Eating Windows among Adults with Overweight or Obesity. Nutrients 2021; 13:nu13124485. [PMID: 34960035 PMCID: PMC8705992 DOI: 10.3390/nu13124485] [Citation(s) in RCA: 15] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/26/2021] [Revised: 12/09/2021] [Accepted: 12/11/2021] [Indexed: 11/16/2022] Open
Abstract
We aim to describe temporal eating patterns in a population of adults with overweight or obesity. In this cross-sectional analysis, data were combined from two separate pilot studies during which participants entered the timing of all eating occasions (>0 kcals) for 10-14 days. Data were aggregated to determine total eating occasions, local time of the first and last eating occasions, eating window, eating midpoint, and within-person variability of eating patterns. Eating patterns were compared between sexes, as well as between weekday and weekends. Participants (n = 85) had a median age of 56 ± 19 years, were mostly female (>70%), white (56.5%), and had a BMI of 31.8 ± 8.0 kg/m2. The median eating window was 14 h 04 min [12 h 57 min-15 h 21 min], which was significantly shorter on the weekend compared to weekdays (p < 0.0001). Only 13.1% of participants had an eating window <12 h/d. Additionally, there was greater irregularity with the first eating occasion during the week when compared to the weekend (p = 0.0002). In conclusion, adults with overweight or obesity have prolonged eating windows (>14 h/d). Future trials should examine the contribution of a prolonged eating window on adiposity independent of energy intake.
Collapse
Affiliation(s)
- Collin J. Popp
- Department of Population Health, Center for Healthful Behavior Change, New York University Langone Health, 180 Madison Ave, New York, NY 10016, USA; (M.C.); (K.P.); (S.C.); (L.H.); (M.A.S.)
- Correspondence: ; Tel.: +1-(646)-501-3446
| | - Margaret Curran
- Department of Population Health, Center for Healthful Behavior Change, New York University Langone Health, 180 Madison Ave, New York, NY 10016, USA; (M.C.); (K.P.); (S.C.); (L.H.); (M.A.S.)
| | - Chan Wang
- Department of Population Health, Division of Biostatistics, New York University Langone Health, 180 Madison Ave, New York, NY 10016, USA;
| | - Malini Prasad
- Department of Medicine, Division of Endocrinology, New York Obesity Research Center, Columbia University Irving Medical Center, 1150 Saint Nicholas Avenue, R-121-G, New York, NY 10032, USA; (M.P.); (K.F.); (A.G.); (N.N.); (B.L.)
| | - Keenan Fine
- Department of Medicine, Division of Endocrinology, New York Obesity Research Center, Columbia University Irving Medical Center, 1150 Saint Nicholas Avenue, R-121-G, New York, NY 10032, USA; (M.P.); (K.F.); (A.G.); (N.N.); (B.L.)
| | - Allen Gee
- Department of Medicine, Division of Endocrinology, New York Obesity Research Center, Columbia University Irving Medical Center, 1150 Saint Nicholas Avenue, R-121-G, New York, NY 10032, USA; (M.P.); (K.F.); (A.G.); (N.N.); (B.L.)
| | - Nandini Nair
- Department of Medicine, Division of Endocrinology, New York Obesity Research Center, Columbia University Irving Medical Center, 1150 Saint Nicholas Avenue, R-121-G, New York, NY 10032, USA; (M.P.); (K.F.); (A.G.); (N.N.); (B.L.)
| | - Katherine Perdomo
- Department of Population Health, Center for Healthful Behavior Change, New York University Langone Health, 180 Madison Ave, New York, NY 10016, USA; (M.C.); (K.P.); (S.C.); (L.H.); (M.A.S.)
| | - Shirley Chen
- Department of Population Health, Center for Healthful Behavior Change, New York University Langone Health, 180 Madison Ave, New York, NY 10016, USA; (M.C.); (K.P.); (S.C.); (L.H.); (M.A.S.)
| | - Lu Hu
- Department of Population Health, Center for Healthful Behavior Change, New York University Langone Health, 180 Madison Ave, New York, NY 10016, USA; (M.C.); (K.P.); (S.C.); (L.H.); (M.A.S.)
| | - David E. St-Jules
- Department of Nutrition, University of Nevada, Reno, 1664 N. Virginia Street, Reno, NV 89557, USA;
| | - Emily N. C. Manoogian
- Regulatory Biology Department, Salk Institute for Biological Studies, 10010 N Torrey Pines Rd., La Jolla, CA 92037, USA; (E.N.C.M.); (S.P.)
| | - Satchidananda Panda
- Regulatory Biology Department, Salk Institute for Biological Studies, 10010 N Torrey Pines Rd., La Jolla, CA 92037, USA; (E.N.C.M.); (S.P.)
| | - Mary Ann Sevick
- Department of Population Health, Center for Healthful Behavior Change, New York University Langone Health, 180 Madison Ave, New York, NY 10016, USA; (M.C.); (K.P.); (S.C.); (L.H.); (M.A.S.)
- Department of Medicine, New York University Langone Health, 550 First Avenue, New York, NY 10016, USA
| | - Blandine Laferrère
- Department of Medicine, Division of Endocrinology, New York Obesity Research Center, Columbia University Irving Medical Center, 1150 Saint Nicholas Avenue, R-121-G, New York, NY 10032, USA; (M.P.); (K.F.); (A.G.); (N.N.); (B.L.)
| |
Collapse
|