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1 duced to 71 +/- 19 by 1:00 p.m. (preprandial lunch).
2 ch at 12:30 on the diving boat (no nattou at lunch).
3 administered 160 IU insulin or vehicle after lunch.
4 A liquid meal was consumed at lunch.
5 in, and nonesterified fatty acids peak after lunch.
6 r and satiety profiles, or energy intakes at lunch.
7 andardized conditions while they were eating lunch.
8 or had symptoms without having eaten the box lunch.
9 duced hunger and subsequent energy intake at lunch.
10 l and dyspnea during physical exercise after lunch.
11 preload (465 g) followed by a self-selection lunch.
12 after consuming canned peaches during school lunch.
13 were taken as oral suspensions in water with lunch.
14 chool children have a high intake of UPFs at lunch.
15 % of students receiving free or reduced-cost lunch.
16 ing to consume a large or small hypothetical lunch.
17 lysed as a percentage of the total weight of lunch.
18 espective of protein intake at breakfast and lunch.
19 drank only the soup of enokitake with school lunch.
20 isolated workplace with a monitored provided lunch.
21 suppressed (P < 0.049) at breakfast than at lunch.
22 d are eligible for free/reduced-price school lunches.
23 nd staff dealing with food allergy in school lunches.
24 e control arm included monthly 1-hour social lunches.
25 ularly those eligible for free/reduced-price lunches.
26 bohydrate and fat ["blend index" difference; lunch = 0.22 (95% CI: 0.19, 0.26), P< 0.0001, d = 0.76;
28 our time slots: morning (8:00-11:00), before lunch (11:00-13:00), after lunch (13:00-15:00), and late
31 00-11:00), before lunch (11:00-13:00), after lunch (13:00-15:00), and late afternoon (15:00-18:00).
33 interval {CI}, 12.7%-33.3%]), staff meetings/lunches (18.2% [95% CI, 4.5%-31.8%]), and elementary sch
34 ncrease was lower after breakfast than after lunch (20 +/- 18% and 42 +/- 40%, respectively; P < 0.04
36 zed in an EVEN (16.7% at breakfast, 32.8% at lunch, 31.3% at dinner, 19.2% at snacks; N.=23) or UNEVE
37 zed in an EVEN (16.7% at breakfast, 32.8% at lunch, 31.3% at dinner, 19.2% at snacks; N.=23) or UNEVE
38 =23) or UNEVEN (15.4% at breakfast, 36.6% at lunch, 34.9% at dinner, 12.4% at snacks; N.=24) distribu
39 =23) or UNEVEN (15.4% at breakfast, 36.6% at lunch, 34.9% at dinner, 12.4% at snacks; N.=24) distribu
40 ndex (+54%) and glucose concentrations after lunch (+46%) were, however, higher on the BSD than on th
41 h after breakfast (38 +/- 7%, P < 0.001) and lunch (78 +/- 14%, P < 0.001) than after HF/LC meals (bo
43 students who received free or reduced-price lunches (across interquartile range, OR = 1.13, 95% CI:
45 nd ad libitum energy intake (EI) measured at lunch, afternoon snack, and dinner.Thirteen participants
46 re collected 2 h after breakfast (AB), after lunch (AL), and after dinner (AD) on day 3, and a fastin
47 d with better changes in dietary quality for lunch among presumed low-income, low-middle-income, and
50 , 15 g MCT before breakfast and water before lunch and dinner (MCT), or 15 g MCT before breakfast and
52 ow ALMBMI reported a lower protein intake at lunch and dinner compared with those with normal ALMBMI
54 hich reflects enhanced human activity during lunch and dinner time (i.e., cooking) and possibly more
55 Ad libitum energy intake was assessed at lunch and dinner with subjective appetite and resting me
57 en during the late postprandial period after lunch and dinner, with differences of up to 4.6 (95% CI,
61 size, eating rate, and energy intake during lunch and in an eating in the absence of hunger task.
64 ith peak values observed at 70 minutes after lunches and dinners and 50 minutes after breakfasts.
65 ponses were greater and more prolonged after lunches and dinners than after breakfasts, with peak val
66 een students who obtained free/reduced-price lunches and students who did not obtain school lunches w
67 either a skewed (10 g at breakfast, 20 g at lunch, and 60 g at dinner; n = 20) or even (30 g each at
68 either water before standardized breakfast, lunch, and dinner (CONTROL), 15 g MCT before breakfast a
70 mixed meals were ingested during breakfast, lunch, and dinner at 0700, 1300, and 1900 h in randomize
72 during a simulated day (including breakfast, lunch, and dinner preparation interspersed by cleaning a
73 ucose response over 3 hours after breakfast, lunch, and dinner was assessed using continuous glucose
74 ng of and energy from main meals (breakfast, lunch, and dinner) and snacks (before breakfast, after d
75 f their reported number of meals (breakfast, lunch, and dinner) and snacks consumed per day during th
76 l snacks beyond the 3 main meals (breakfast, lunch, and dinner) were associated with increased T2D ri
77 separate feeding days to consume breakfast, lunch, and dinner, with unobtrusive weighing of foods an
79 ade, enrolled in a school that served school lunch, and had a reliable weekday dietary recall were in
84 free (OR = 1.12, 95% CI: 1.09, 1.15) school lunches as compared with those paying full price, and fo
85 rus fruits are frequently included in school lunches as fruit flesh and as flavoring or seasoning in
86 at to the dive site, dove twice and then ate lunch at 12:30 on the diving boat (no nattou at lunch).
90 ses in report similarity were observed after lunch breaks (day and weekend shifts) and with the arriv
95 he end of the study (week 12), an ad libitum lunch buffet protocol for objective food intake measures
96 ropic polypeptide secretion were lower after lunch but unaltered after breakfast on CRHP; beta-cell f
98 ely handling noise; and the absence of "free lunch." By illuminating such principles, systems biology
99 The consumption of higher energy intake at lunch compared with at dinner may result in favorable ch
100 the relation between high energy intakes at lunch compared with at dinner on weight loss in overweig
101 t hoc, P < 0.05); decreased ad libitum EI at lunch compared with glucose-to-duodenum [-22%, -988 +/-
102 ry potential of peripheral blood cells after lunch.Compared with 3 meals/d, meal skipping increased e
103 children being observed consuming a standard lunch, completing questionnaire measures of parental fee
109 9.3%; previous studies suggested that school lunch consumption was associated with increased obesity.
110 st meals allocated in random order: water, a lunch containing a modest amount of fat (38 g), or MSF (
118 Across conditions, entrees at breakfast, lunch, dinner, and evening snack were reduced in ED by i
123 Independently of observed intake, reported lunch energy intake among females in the intervention sc
125 x (less balanced) than ultraprocessed meals [lunch, F(1, 19) = 18.49, P < 0.0004, partial eta(2) = 0.
126 ontent by meal type (school meals and packed lunches [food from home]) and children's household incom
127 continue drinking DBs 5 times/wk after their lunch for 24 wk (DB group) while on a weight-loss progra
129 d with a lower median UPF intake than packed lunches for primary school children (61% kcal [IQR 44-75
134 d with eating normal meals for breakfast and lunch) glucagon concentrations were lower by 42% and end
137 l of clarithromycin 500mg with breakfast and lunch, in patients with hypersomnolence syndromes (exclu
140 was able to modify the fat content of school lunches, increase moderate-to-vigorous physical activity
141 whether differences in energy intake during lunch influenced postmeal feelings of satiety and later
145 5 kg/m2) were studied during breakfast (B), lunch (L), and dinner (D) with identical mixed meals (75
147 5 y] were asked to eat either a main meal at lunch (LM) or a main meal at dinner (DM) for 12 wk while
148 nsecutive meals (breakfast, morning tea, and lunch), matched for macronutrients, fiber, and glycemic
150 ily consumption of an iron supplement with a lunch meal for 8 wk improved serum ferritin concentratio
151 e eating time for lunch was earlier, and the lunch meal provided more energy on the no-breakfast day
152 lunch-type foods (>10,000 kcal) and after a lunch meal standardized to provide 50% of the daily esti
156 I: 21.3 +/- 1.9 kg/m2] consumed 4 ad libitum lunch meals consisting of "soft minimally processed," "h
157 ry outcome was dietary quality of intake for lunch, measured by the Healthy Eating Index-2010 (HEI-20
159 of school menus from 3 control schools, the lunch menus averaged from 34% to 40% of energy from fat;
160 .g., As I emerge from the subway, can I find lunch, my friend, and a street sign in the scene before
161 However, there's no such thing as a free lunch: Not only benefits (like reward), but also costs i
162 e changes in the fat content of food service lunch offerings and the amount of moderate-to-vigorous p
164 A food handler who prepared sandwiches for lunch on 9 March reported that her infant had been sick
165 ors compared the effects of eating a high GL lunch on mood and memory after consumption of a breakfas
167 tems, where students order and pay for their lunch online, provide an avenue to improve healthy cante
170 ndividual students conducted within 1.5 h of lunch or the following morning included free and prompte
171 mixed meals were ingested during breakfast, lunch, or dinner at 0700, 1300, and 1900 h in randomized
172 ion, 735 control) placed at least one online lunch order and were included in the study, with 16,109
173 -120.19 mg; P < 0.001) contents per student lunch order were significantly lower in the intervention
174 at follow-up, a higher proportion of online lunch orders in intervention schools would contain the t
175 ugar, and sodium contents of primary student lunch orders.A cluster-randomized controlled trial was c
176 pplemental protein provided at breakfast and lunch over the current RDA enhanced anabolic signaling a
178 hake significantly affected energy intake at lunch (P < 0.04) such that intake was 12% lower after th
179 hat preload volume affected energy intake at lunch (P < or = 0.009) such that energy intake was less
181 t of breakfast condition on energy intake at lunch (P = 0.36) or throughout the remainder of the day
182 e interaction between state laws and student lunch participant status, ie, whether disparities in wei
183 disparities in weight status between school lunch participants and nonparticipants were smaller in s
184 hat Blacks and Hispanics, free/reduced price lunch participants, English language learners, and girls
185 ience may improve weight status among school lunch participants, particularly those eligible for free
186 ates; certainty of evidence was moderate for lunch participation and low or very low for other outcom
187 Compared with a "conventional" or "later lunch" pattern, men and women with a "grazing" pattern h
190 ldren and were provided every study day with lunch prepared according to the National School Lunch Pr
191 -2010 in participants in the National School Lunch Program (NSLP) and the School Breakfast Program (S
193 ritional requirements of the National School Lunch Program (NSLP) to reverse the potential role of th
196 Additional strategies in the National School Lunch Program for mitigating food waste are needed to ma
198 SNAP and participants in the National School Lunch Program, School Breakfast Program, or both have lo
204 as increased in children who consumed packed lunches, secondary school children, and children of a lo
207 ly when expecting to consume a large virtual lunch, suggesting satiety insecurity may motivate eating
208 ess full, and could consume more food before lunch than on the day when they did eat breakfast (P < 0
209 brought significantly higher-priced ($1.94) lunches than did students from middle-income schools ($1
211 s showed decreasing SI between breakfast and lunch, the reverse SI pattern was observed in type 1 dia
213 ile there is a public demand for safe school lunches, the teachers and staff dealing with this demand
214 Students were categorized by type of school lunch they usually obtained (free/reduced price, regular
215 erts recommend at least 20 minutes of seated lunch time for children, but no federal policy for lunch
220 ren to receive at least 20 minutes of seated lunch time; such policies could have favorable implicati
223 r ad libitum access to a very large array of lunch-type foods (>10,000 kcal) and after a lunch meal s
226 brief videotaped footage of children eating lunch was able to discriminate between the individuals w
228 prandial glycaemia (PPG) after breakfast and lunch was assessed by arterialized blood glucose iAUC.
229 Carolina team before the game, only the box lunch was associated with a significant risk of illness
231 -living American adults, the eating time for lunch was earlier, and the lunch meal provided more ener
234 1994 indicated that salad consumption during lunch was linked with illness on 2 days (5 December: odd
242 nches and students who did not obtain school lunches was 12.3 percentage points smaller (95% CI, -21.
245 g soup intake and at a subsequent ad libitum lunch were assessed in 26 low-restraint volunteers by us
247 glucose and lipid responses to breakfast and lunch were determined; and 32 participants with impaired
253 pper alone, skipping breakfast, and skipping lunch) were collected using the Harvard Youth/Adolescent
255 nded to partially suppress energy intakes at lunch, whereas the no-beverage and diet beverage conditi
258 s), aged 3 to 6 y, were served a series of 6 lunches, which varied only in entree portion size, once
259 s, and the diet intervention was provided as lunch with 38% carbohydrate and diet fibre of 12 g/day f
260 compared the effect of high energy intake at lunch with that at dinner on weight loss and cardiometab
262 ]; 452 [65.03%] eligible for free or reduced lunch) with complete demographic data and baseline and p
263 short-duration sleepers mentioned breakfast, lunch (women only), and dinner in the recall (P </= 0.04