Association of night eating habits with metabolic syndrome and its components: a longitudinal study

Yoshida, Junko; Eguchi, Eri; Nagaoka, Kenjiro; Itö, Tatsuo; Oginö, Kazuhíde

doi:10.1186/s12889-018-6262-3

Cited by 139 publications

(104 citation statements)

References 37 publications

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“…Among the various strategies for health promotion, one commonality is the importance of healthy eating habits to prevent obesity [ 2 ]. Several epidemiologic studies have indicated that unhealthy eating habits, such as snacking [ 5 , 6 , 7 , 8 ], eating quickly [ 7 , 9 , 10 ], and eating late-evening meals [ 11 , 12 ], are significantly associated with an increased risk of obesity or central obesity. These previous studies investigated the influence of each eating habit separately, but it is also important to consider the influence of the accumulation of unhealthy eating habits on obesity and central obesity, since unhealthy eating habits tend to overlap.…”

Section: Introductionmentioning

confidence: 99%

Influence of the Accumulation of Unhealthy Eating Habits on Obesity in a General Japanese Population: The Hisayama Study

et al. 2020

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Few studies have examined the association between the accumulation of unhealthy eating habits and the likelihood of obesity or central obesity in a general Japanese population. We examined this association in a sample of 1906 community-dwelling Japanese subjects (age: 40–74 years) who participated in a health check-up in 2014. A face-to-face questionnaire interview was conducted to collect information about three unhealthy eating habits, i.e., snacking, eating quickly, and eating late-evening meals. Obesity was defined as body mass index ≥25 kg/m2 and central obesity was defined as waist circumference ≥90 cm in men and ≥80 cm in women. The odds ratios (OR) were estimated by using a logistic regression analysis. Subjects with any one of the three eating habits had a significantly higher likelihood of obesity than those without that habit after adjusting for confounding factors. The multivariable-adjusted OR for obesity increased linearly with an increase in the number of accumulated unhealthy eating habits (p for trend < 0.001). Similar associations were observed for central obesity. Our findings suggest that modifying each unhealthy eating habit and avoiding an accumulation of multiple unhealthy eating habits might be important to reduce the likelihood of obesity.

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Section: Introductionmentioning

confidence: 99%

Influence of the Accumulation of Unhealthy Eating Habits on Obesity in a General Japanese Population: The Hisayama Study

et al. 2020

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“…For instance, an observational study conducted by Sakurai et al reported that skipping breakfast was closely associated with annual changes in BMI and waist circumference among men [23]. In another longitudinal study, late dinner was associated with obesity [24]. It was uncertain why BMI and WHtR were not increased in people with unhealthy dietary habits in our study; however, it implied that they might not be intermediate factors in our study setting.…”

Section: Discussionmentioning

confidence: 58%

Association Between Unhealthy Dietary Habits and Proteinuria Onset in a Japanese General Population: A Retrospective Cohort Study

Tokumaru

Toyama²,

Hara

et al. 2020

Preprint

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Background The relationship between dietary habits and development of chronic kidney disease (CKD) is uncertain. This retrospective cohort study was conducted to examine the association between unhealthy dietary habits and proteinuria onset, a key prognostic factor of CKD. Methods We conducted a retrospective cohort study among individuals in a Japanese general population aged ≥ 40 years who underwent annual medical checkups from 1998 to 2014 in Kanazawa City, Japan. The risks of proteinuria onset were estimated based on the status of baseline unhealthy dietary habits (quick eating, late dinner, late evening snack, and skipping breakfast) compared with the status without these habits. We calculated the incidence rates per 1000 person-years based on the presence or absence of each unhealthy dietary habit. Multivariable Cox proportional hazards models were used to estimate the risks of proteinuria onset based on baseline unhealthy dietary habits. Changes in body mass index (BMI) and waist-to-height ratio (WHtR), which were possible intermediate factors in unhealthy dietary habits and proteinuria onset, were estimated using a linear mixed-effects model with random intercept and random slope. Results A total of 26,764 subjects were included, with a mean follow-up period of 3.4 years. The most frequent unhealthy dietary habits were quick eating (29%), followed by late dinner (19%), late evening snack (16%), and skipping breakfast (9%). During the follow-up period, 10.6% of the participants developed proteinuria, with an incidence rate of 32.7 per 1000 person-years. Late dinner or skipping breakfast had an increased adjusted risk of proteinuria onset (hazard ratio [HR] 1.12, 95% confidence interval [CI] 1.02 to 1.22, and HR 1.15, 95% CI 1.01 to 1.31, respectively). Each unhealthy dietary habit was not associated with changes in BMI or WHtR. Conclusion Our results suggest that late dinner and skipping breakfast were associated with higher risks for proteinuria onset. Unhealthy dietary habits were not associated with changes in BMI or WHtR during the follow-up period.

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“…Late night eating habits are related to MetS [ 48 ].The present study supported this conclusion by showing that consumption of calories late at night was a risk factor of MetS occurrence. In a preceding study on middle-aged adults without obesity and diabetes, adults consuming more than 48% of daily calories at dinner were reported to have a 1.5 times higher risk of developing MetS [ 49 ].…”

Section: Discussionmentioning

confidence: 99%

Association between Dietary Habits, Shift Work, and the Metabolic Syndrome: The Korea Nurses’ Health Study

Jung

Dan

Pang

et al. 2020

IJERPH

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Metabolic syndrome (MetS) is an important public health problem, and unhealthy dietary habits and shift work are considered major factors that increase the prevalence of MetS. The purpose of this study was to examine whether dietary habits, alcohol drinking, and shift-working were associated with development of MetS in shift-working female nurses. This study analyzed cross-sectional survey data from the Korea Nurses’ Health Study (KNHS). Of the 1638 nurses, 403 participants were selected based on the propensity score matching method (PSM). These participants had either no or more than three MetS determinant factors. Analysis was conducted by using multivariable logistic regression to confirm the factors influencing MetS. The prevalence of MetS in this group (1638 participants) was 5.6% (92 participants). Consumption of over 50% of daily calorie intake after 7 p.m., consumption of carbonated drinks, family history of diabetes, and non-shift work were significant factors influencing MetS. Nurses are one of the at-risk groups for unhealthy dietary habits due to the nature of their work. Therefore, nurse managers should include regular dietary education for nurses and continue their policy efforts to resolve health problems that may arise in connection with nurses’ work.

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Association of night eating habits with metabolic syndrome and its components: a longitudinal study

Cited by 139 publications

References 37 publications

Influence of the Accumulation of Unhealthy Eating Habits on Obesity in a General Japanese Population: The Hisayama Study

Influence of the Accumulation of Unhealthy Eating Habits on Obesity in a General Japanese Population: The Hisayama Study

Association Between Unhealthy Dietary Habits and Proteinuria Onset in a Japanese General Population: A Retrospective Cohort Study

Association between Dietary Habits, Shift Work, and the Metabolic Syndrome: The Korea Nurses’ Health Study

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