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  1. 1441
    “…Age group 29-37 years [AOR= 2.451, 95% CI: (1.199-5.013)], age group 38-46 years [AOR=3.807, 95% CI: (1.328-10.914)], age group 47-55 years [AOR=6.489, 95% CI: (1.367-30.805)], being married [AOR= 4.762, 95% CI: (2.321-9.721)],consumption of meat >=5 per week[ AOR= 4.764, 95% CI: (1.939-11.711)], having lunch daily[AOR= 0.388, 95% CI:(0.166-0.910)] and snack consumption [AOR=4.163, 95% CI:(1.503-11.534)] were significantly associated with abdominal obesity. …”
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    Prevalence of abdominal obesity and associated risk factors among women civil servants in Addis Ababa, Ethiopia, 2021: an institution-based study
  2. 1442
    “…Most parents report that the meal (150, 87%) and snack (172, 98%) frequency are like the frequency before the pandemic. …”
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    THU229 Assessing The Effect Of The Changing Levels Of Restrictions Placed By The COVID-19 Pandemic On Children And Their Behaviors
  3. 1443
    “…Meal replacement (MR) was used twice daily (one meal, one snack) for 3 months and then once a day for 9 months. …”
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    Protein-enriched meal replacements do not adversely affect liver, kidney or bone density: an outpatient randomized controlled trial
  4. 1444
    “…For women, not completing secondary school (OR = 1.23, p < 0.05), stage 1 hypertension (OR = 1.31, p < 0.001), chronic pain (OR = 1.79, p < 0.001), low fruit/vegetable intakes (OR = 1.33, p < 0.05), and fruit juice (OR = 1.80, p < 0.001), chocolate (ORs = 1.15–1.66, p’s < 0.05), or salty snack (OR = 1.19, p < 0.05) consumption were associated with depression. …”
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    Depression in middle and older adulthood: the role of immigration, nutrition, and other determinants of health in the Canadian longitudinal study on aging
  5. 1445
    “…There were also positive dietary intervention effects for high SEP students, reducing takeaway and packaged snack consumption, although there was no significant difference in effect between high and low SEP students. …”
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    The impact of a community-based intervention on weight, weight-related behaviours and health-related quality of life in primary school children in Victoria, Australia, according to socio-economic position
  6. 1446
    “…Thus, this efficacy study aims to evaluate the Padres Preparados, Jóvenes Saludables (Padres) youth obesity prevention program for positive changes in EBRBs (fruit, vegetable, sugar-sweetened beverage (SSB), sweet/salty snack, and fast-food consumption, physical activity, and screen time) and weight status among low-income Latino fathers and adolescents (10-14 years). …”
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    Padres Preparados, Jóvenes Saludables: intervention impact of a randomized controlled trial on Latino father and adolescent energy balance-related behaviors
  7. 1447
    por Grigoryan, Seda, Oral, Elif
    Publicado 2022
    “…Patient was transitioned to home insulin pump with recommendation to snack frequently between meals and was discharged home with outpatient follow up. …”
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    PSUN240 A Case of Euglycemic DKA in Pregnancy
  8. 1448
    por Chandak, Giriraj R., Silver, Matt J., Saffari, Ayden, Lillycrop, Karen A., Shrestha, Smeeta, Sahariah, Sirazul Ameen, Di Gravio, Chiara, Goldberg, Gail, Tomar, Ashutosh Singh, Betts, Modupeh, Sajjadi, Sara, Acolatse, Lena, James, Philip, Issarapu, Prachand, Kumaran, Kalyanaraman, Potdar, Ramesh D., Prentice, Andrew M., Fall, Caroline H. D., Acolatse, Lena, Ahmed, Meraj, Betts, Modupeh, Chandak, Giriraj R., Chopra, Harsha, Cooper, Cyrus, Darboe, Momodou K., Di Gravio, Chiara, Fall, Caroline H. D., Gandhi, Meera, Goldberg, Gail R., Issarapu, Prachand, James, Philip, Janha, Ramatoulie, Jarjou, Landing M. A., Kaur, Lovejeet, Kehoe, Sarah H., Kumaran, Kalyanaraman, Lillycrop, Karen A., Ngum, Mohammed, Nongmaithem, Suraj S., Owens, Stephen, Potdar, Ramesh D., Prentice, Andrew M., Prentice, Ann, Priyanka, Tallapragada Divya Sri, Saffari, Ayden, Sahariah, Sirazul Ameen, Sajjadi, Sara, Sane, Harshad, Shrestha, Smeeta, Silver, Matt J., Tomar, Ashutosh Singh, Ward, Kate A., Yadav, Dilip Kumar, Yajnik, Chittaranjan S.
    Publicado 2017
    “…METHODS: The original trials were the Mumbai Maternal Nutrition Project (MMNP, ISRCTN62811278) in which Indian women were offered a daily snack made from micronutrient-rich foods or low-micronutrient foods (controls), and the Peri-conceptional Multiple Micronutrient Supplementation Trial (PMMST, ISRCTN13687662) in rural Gambia, in which women were offered a daily multiple micronutrient (UNIMMAP) tablet or placebo. …”
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    Protocol for the EMPHASIS study; epigenetic mechanisms linking maternal pre-conceptional nutrition and children’s health in India and Sub-Saharan Africa
  9. 1449
    “…He did not test BG on a regular basis, but when tested occasionally in the morning, reported BG were 90-199 mg/dl, unless he skipped a bedtime snack. Patient reported having one episode when he woke up in the middle of the night “jittery and sweaty,” and BG was 37 mg/dl. …”
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    MON-134 Use of CGMS for Evaluating Hypoglycemia in Non-Diabetic Patients
  10. 1450
    “…At age 2 years, 32% (15/47) of babies were overweight or obese, 60% (28/47) were breastfeeding, 58% (27/47) were watching TV or iPads, and 55% (26/47) were eating sweet snacks. Toddlers watching TV or iPads (p=0.008), or eating sweet snacks (p=0.04) were heavier than their peers. …”
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    SUN-077 Do Low Sex Hormone Binding Globulin Levels in Newborns Predict Weight Gain in Infancy and Early Childhood?
  11. 1451
    “…Emotional eating behavior (ie, mean score) measured by questionnaire (ie, the Dutch Eating Behavior Questionnaire) at 8 weeks was significantly improved compared to the control group (–2.8%, SD 34.4, vs 21.6%, SD 56.9, P=.048). Mean snack calorie intake in the digital CBT group during the intervention period was significantly lower than in the control group (135.9 kcal, SD 86.4, vs 208.2 kcal, SD 166.3, P=.02). …”
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    Multidimensional Cognitive Behavioral Therapy for Obesity Applied by Psychologists Using a Digital Platform: Open-Label Randomized Controlled Trial
  12. 1452
    “…At 5y they consumed less non-core drinks (MD = -27.60; CI(95):-54.58,-0.62). Sweet snack intake was lower for intervention children at both 3.6y (MD = -5.70; CI(95):-9.75,-1.65) and 5y (MD = -6.84; CI(95):-12.47,-1.21). …”
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    Long-term outcomes (2 and 3.5 years post-intervention) of the INFANT early childhood intervention to improve health behaviors and reduce obesity: cluster randomised controlled trial follow-up
  13. 1453
    “…The most common slips occurred during snack times (220/538, 40.9%). Slips most often occurred at home (297/538, 55.2%), while working (153/538, 28.4%), while socializing (130/538, 24.2%), or during screen time (123/538, 22.9%). …”
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    Slip Buddy App for Weight Management: Randomized Feasibility Trial of a Dietary Lapse Tracking App
  14. 1454
    “…RESULTS: Children (n = 298) living in ‘higher-risk’ home environments (a 1 unit increase in the HEI obesogenic risk score) were less likely to consume fruits (OR; 95% CI = 0.40; 0.26–0.61, p < 0.001), and vegetables (0.30; 0.18–0.52, p < 0.001), and more likely to consume energy-dense snack foods (1.71; 1.08–2.69, p = 0.022), convenience foods (2.58; 1.64–4.05, p < 0.001), and fast foods (3.09; 1.90–5.04, p < 0.001). …”
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    The Home Environment Interview and associations with energy balance behaviours and body weight in school-aged children – a feasibility, reliability, and validity study
  15. 1455
    “…No difference was reported for consumption of fat post-intervention (SMD: −0.06, 95% CI: −0.15 to 0.03) or sugar sweetened beverages(SSB) and snack consumption combined post-intervention (SMD: −0.02, 95% CI:–0.10 to 0.06),or at the follow up (studies reported 2 weeks to 36 months follow-up) after the intervention (SMD:–0.06, 95% CI: −0.15 to 0.03) (review rated low ROB, minimal to substantial heterogeneity across results). …”
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    Digital interventions to moderate physical inactivity and/or nutrition in young people: a Cancer Prevention Europe overview of systematic reviews
  16. 1456
    “…Furthermore, the associations between TV viewing and consumption of energy-dense snacks, energy-dense drinks and fruit were mediated by snacking while watching TV. …”
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    Mediators of longitudinal associations between television viewing and eating behaviours in adolescents
  17. 1457
    “…A content analysis was used to investigate the marketing strategies, serving size, and nutrition quality in Taiwan popular children’s snacks and drinks. A total of 361 snacks and 246 drinks were collected. …”
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    Marketing Strategy, Serving Size, and Nutrition Information of Popular Children’s Food Packages in Taiwan
  18. 1458
    “…Comparing T1 to T0, the TRE group documented less incomplete meals (−32.5%: p = 0.02), high quality snacks (−23.6%: p = 0.03), and low quality snacks (−36.6%: p = 0.004). …”
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    Time-Restricted Eating Alters Food Intake Patterns, as Prospectively Documented by a Smartphone Application
  19. 1459
    “…In addition, emotional dysregulation and negative emotions did not have direct impact on snacking. Moreover, snacking did not have a direct impact on body mass index. …”
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    The impact of food-related behaviours and emotional functioning on body mass index in an adult sample
  20. 1460
    “…For the HEI-2015, median Spearman correlation coefficient was 0·43, with a range from 0·12 (snacks in women) to 0·68 (breakfast in men). For the NRF9.3, median Spearman correlation coefficient was 0·47, with a range from 0·26 (snacks in men) to 0·65 (breakfast in men). …”
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    Relative validity of the online Meal-based Diet History Questionnaire for evaluating the overall diet quality and quality of each meal type in Japanese adults
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