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Salt reduction is a public health priority for the Japanese population. We focused on the effect of salt reduction by changing eating utensils to reduce salt consumption. As a test meal, we used ramen, which is commonly eaten by Japanese individuals and has a high salt content. In this randomized crossover study, we hypothesized that eating ramen with a perforated spoon would reduce the quantity of ramen soup and salt consumed compared to using a regular spoon without holes. Soup intake, after-meal fullness, and deliciousness were compared between eating with chopsticks and a regular spoon, and with chopsticks and a perforated spoon. In total, 36 male university students (mean age, 20.7 [standard deviation, 1.8] years) were included in the analyses. The median salt intake (25th and 75th percentiles) was significantly lower with perforated spoons (1.8 [1.5, 4.3] g) than with regular spoons (2.4 [1.8, 4.8] g; p = 0.019). There were no significant differences in after-meal fullness or deliciousness for both spoon conditions (p > 0.05). For young men, the soup intake when eating ramen with a perforated spoon was lower than that with a regular spoon; this suggests a reduction in salt intake.

BACKGROUND Some studies on weight loss promotion using smartphone applications (smartphone app) including mobile applications have shown a weight loss effect, but not an increase in physical activity, and they have not been rigorously examined for longer periods. OBJECTIVE To assess whether the use of a smartphone app will increase physical activity and reduce body weight. METHODS In this parallel randomized clinical trial, participants recruited between April 2018 and June 2019 were randomized in equal proportions to a smartphone app group (n=55) or control group (n=54). The intention-to-treat approach was used to analyze the data from December 2019 through November 2021. Before the intervention, an hour-long lecture on weight loss instruction and increasing physical activity was conducted once for both groups. Participants in both groups were instructed to weigh themselves immediately after waking up at least once daily from the start of the intervention. Monthly e-mails were sent advising the participants on how to lose weight and increase physical activity in order to maintain or increase motivation in both groups. Participants in the smartphone app group were instructed to launch the app at least once a day to check their step count and rank. The primary outcome was daily accelerometer-measured physical activity (step count) and secondary outcomes was body weight. RESULTS The 109 participants had a mean (standard deviation) age of 47 (8) years. At baseline, the mean (standard deviation) daily total steps were 7259 (3256) for the smartphone app and 8243 (2815) for control groups, respectively. After the 32-week intervention period, the step count per wear time was significantly higher in the smartphone app group than in the control group [average difference (95%CI): 65 (30 to 101) vs. -9 (-56 to 39), p=0.042]. The weight loss was -2.2 kg (-3.1%) in the smartphone app group and -2.2 kg (-3.1%) in the control group, with no significant difference between the groups. During the intervention period, the step count per wear time on Saturdays [615 (545 to 684) vs. 554 (483 to 624), p=0.006] and Sundays [623 (553 to 694) vs. 556 (485 to 627), p=0.004] was significantly higher in the smartphone app group than in the control group. CONCLUSIONS In this trial, the smartphone app group showed increased physical activity, especially on weekends. However, this increased physical activity did not lead to weight loss. CLINICALTRIAL UMIN000033397 https://upload.umin.ac.jp/cgi-open-bin/ctr/ctr.cgi?function=brows&action=brows&recptno=R000037956&type=summary&language=J

Breakfast skipping has become an increasing trend in the modern lifestyle and may play a role in obesity and type 2 diabetes. In our previous studies in healthy young individuals, a single incident of breakfast skipping increased the overall 24-h blood glucose and elevated the postprandial glycaemic response after lunch; however, it was difficult to determine whether this response was due to breakfast omission or the extra energy (i.e. lunch plus breakfast contents). The present study aimed to assess the postprandial glycaemic response and to measure their hormone levels when healthy young individuals had identical lunch and dinner, and the 24-h average blood glucose as a secondary outcome. Nine healthy young men (19−24 years) participated in two-meal trials: with breakfast (three-meal condition) or without breakfast (breakfast skipping condition). During the meals, each individual’s blood glucose was continuously monitored. Skipping breakfast resulted in a significantly higher (P < 0·001) glycaemic response after lunch as compared with the glycaemic response after an identical lunch when breakfast was consumed. Despite the difference in the total energy intake, the 24-h average blood glucose was similar between the two-meal conditions (P = 0·179). Plasma NEFA level was significantly higher (P < 0·05) after lunch when breakfast was omitted, and NEFA level positively correlated with the postprandial glycaemic response (r 0·631, P < 0·01). In conclusion, a single incident of breakfast skipping increases postprandial hyperglycaemia, and associated impaired insulin response, after lunch. The present study showed that skipping breakfast influences glucose regulation even in healthy young individuals.

The current study examined how body weight and lifestyle fluctuate between spring, autumn, and winter in Japanese female college students and whether weight gain is associated with changes in physical activity, food intake, and sleep. We measured body weight and lifestyle factors in 31 participants from May 2017 to January 2018. Weight was measured daily in participants&rsquo, homes. Physical activity and sleep were measured for three weeks in three seasons using two accelerometers. Food intake was assessed using a validated food frequency questionnaire. Body weight significantly decreased in autumn compared with spring (p &lt, 0.001). Body weight in winter tended to increase compared with autumn (p = 0.052). Step counts and energy intake were significantly different between seasons (p &lt, 0.05). Total time in bed was not significantly different between seasons. In comparisons of changes in lifestyle patterns from autumn to winter between the weight gain (&ge, 0.5 kg) and weight maintenance groups, seasonal changes in lifestyle factors were not significantly different between groups (p &gt, 0.05). The results indicated that body weight and lifestyle were affected by seasonal variability in female college students, but no significant relationships existed between seasonal weight gain and changes in lifestyle patterns.

This study aimed to examine the effect of acute sleep curtailment on sweet taste preference, appetite and food intake, and the correlation between food intake and sweet taste preference or active ghrelin using a randomized crossover design (5 h sleep curtailment vs. 8 h control). Twenty-four participants (11 men) aged 21.4 &plusmn, 1.0 years, with BMI 19.8 &plusmn, 1.7 kg/m2, who habitually slept 5 h/night or more experienced interventions lasting three consecutive nights. Participants came into the laboratory for testing on day 4. Fasting blood tests were conducted at 8:00 a.m. to measure active ghrelin and leptin levels. Sweet taste preference was assessed by presenting five different concentration sucrose solutions at 9:00 a.m. Ad libitum intake at breakfast was assessed for 30 min from 9:30 a.m. Sweet taste preference was higher following sleep curtailment than control. Active ghrelin was likewise higher following sleep curtailment than control. Leptin did not differ between conditions. Energy intake was higher following sleep curtailment than control, being derived primarily from carbohydrates. However, sweet taste preference and active ghrelin did not correlate with energy intake. These results suggest that acute consecutive sleep curtailment increases sweet taste preference, active ghrelin, and energy intake in healthy young adults.

Our objective was to clarify the effect of sleep curtailment on energy intake (EI) and physical activity under free-living conditions. Participants were 16 healthy women aged 21-22years. A randomized crossover trial design was used to compare a short sleep condition (SS): 4h/night (2:00-6:00) and a control sleep condition (CS): 7h/night (23:00-6:00). Each condition comprised 3 consecutive nights. Sleep duration was assessed using a wristwatch-type accelerometer at home. All living activities except sleeping were free-living. Physical activity was assessed using a tri-axial accelerometer, and was categorized by intensity level (sedentary; sedentary to light; moderate to vigorous). Participants were asked to purchase and consume meals with visible nutrient information. EI was evaluated by adding values from these food labels. Mean sleep duration in the two conditions was significantly different (4.3±0.3 vs. 7.1±0.4h, p0.01). For the shared wakefulness period in the two conditions (6:00-23:00), step counts and physical activity were not significantly different. Sedentary time (878±61 vs. 727±40min, p0.01), and sedentary to light-intensity activity time (1122±18 vs. 932±63min, p0.01) were significantly increased in SS (waking time, 06:00-02:00) compared with CS (waking time, 06:00-23:00). However, these significant effects were clearly attenuated after adjustment for awake time (p0.05). Total EI was not significantly different between conditions (8.64±0.82 vs. 8.46±1.28MJ, p0.05), nor were leptin levels (p0.05), but insulin and cortisol levels after SS were significantly higher than after CS (p0.05). In this study, physical activity was increased in the SS condition and attributed to differences in awake time between conditions. However, there were no differences in EI. Further studies to investigate the effect of sleep curtailment on weight gain through stress and insulin resistance are necessary.