Food Intake Behavior and Chronotype of Japanese Nurses Working Irregular Shifts

Nagashima, Shunsuke; Masutani, Eiko; Wakamura, Tomoko

doi:10.5539/ijps.v6n2p107

Cited by 3 publications

(6 citation statements)

References 27 publications

(26 reference statements)

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“…It is clear that in general decision making is influence by many factors. For example, food intake may be affected by working shifts (Nagashima, Masutani, & Wakamura, 2014). Here, we considered a very fundamental situation in which a decision maker is making a (one sided) decision such as buying a new car or buying a home.…”

Section: Discussionmentioning

confidence: 99%

Quantum Theoretical Approach to the Integrate-and-Fire Model of Human Decision Making

Frank¹,

Yupapin²

2014

IJPS

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We develop a quantum mechanical model for decision making and discuss predictions made by the model. The model is based on the corpuscularity principle of quantum mechanics according to which all natural processes have a particle-like character. It is shown that the quantum mechanical approach allows us to determine the factors that affect the variability of decision making for individual decision makers. Two main effects on mean decision making times are predicted: individual bias and influence of society. The possibility of an interaction effect between individual bias and society impact is discussed from a model-based perspective. Moreover, it is argued that the model can be regarded as a counterpart to the classical integrate-and-fire model of decision making.

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Section: Discussionmentioning

confidence: 99%

Quantum Theoretical Approach to the Integrate-and-Fire Model of Human Decision Making

Frank¹,

Yupapin²

2014

IJPS

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“…Researchers have conducted studies on weight gain among nurses from many countries. These countries include South Africa, Australia, the United Kingdom, New Zealand [14,[20][21][22], the Republic of Korea [23] Malaysia [24], the United States [2,15,17], Brazil [18],Taiwan [6], Europe [25] and Canada [26,27] argued that because of the increase of business process outsourcing (BPO) in the Philippines, especially contact and call center work, research on shift work is becoming increasingly important. However, researchers have not focused on weight gain among female Filipino nurses working the night shift.…”

Section: Background Of the Studymentioning

confidence: 99%

“…Griep et al (2014) found in their study of 2,372 nurses that mostly women had elevated BMI due to irregular meals after working the night shift for extended periods of time [38]. Sleep deprived nurses also tend to consume meals high calories and fats to help combat sleepiness [22,38]. In addition, night shift nurse are often unable to maintain regular eating patterns [14].…”

Section: Eating Habitsmentioning

confidence: 99%

“…According to Depner et al (2014), epidemiological studies have consistently showed that night shift work is linked to weight gain because insufficient sleep promotes food consumption. Conversely, Nagashima et al (2014) argued that the linkage of irregular meals to weight gain has not been established [9,22]. Also, Gallant, Lundgreen, and Draper (2012) argued that weight gain is not often related to night eating and sleep-related problems [57].…”

Section: Eating Habitsmentioning

confidence: 99%

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Night Shift Work and Weight Gain among Female Filipino Nurses

Apellido¹

2018

Journal of Obesity and Overweight

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There are increasing numbers of overweight and obese nurses working the night shift. The purpose of this correlational and cross-sectional study was to determine if there are statistically significant associations between insufficient sleep, abnormal eating patterns, working 12-hour shifts, years of working night shift, age, stress, marital status, nursing units, decreased physical activity, and level of weight gain among female Filipino nurses working the night shift in the hospital. The theoretical foundation of this study was locate evidence, evaluate evidence, assess evidence, and informed decision model. An online survey through Survey Monkey was used to access nurses via a convenient sampling. Data were analyzed using Spearman correlation, multiple regression, and ANOVA. According to study findings, there were significant associations between insufficient sleep, abnormal eating patterns, marital status, 12-hour shifts, number of years working on night shift, and increased in body mass index. The implications for social change include information that nurses can use to better understand the negative implications of night shift work on health. At the organizational level, this study provides information for administrators and nursing leaders that might facilitate change in policies by improving working conditions for nurses.

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“…In this regard, morning types are more vulnerable and less prone to adaptation than evening types. 67 …”

Section: Consequences Of Circadian Disruptionmentioning

confidence: 99%