1.Psychosocial Factors That Have an Influence on the Effects of Obesity Improvement Programs
Hideaki Hanaoka ; Hitoshi Okamura ; Mamiko Iwamoto ; Chiaki Yagura ; Isao Kihara ; Akiko Nogi ; Hajime Shimizu ; Kuninori Shiwaku
Journal of Rural Medicine 2010;5(2):175-183
Objective: The objective of the present study was to clarify the relationship between factors having an influence on obesity improvement programs and psychosocial factors from a more comprehensive point of view.
Methods: We studied a total of 43 subjects with a body mass index (BMI) of 25 kg/m2 or higher who wished to take part in an obesity improvement program and agreed to participate in the study. We conducted an obesity improvement program based on behavior change theories for three months and evaluated physical composition, mental health, social support, stress-coping and the like before intervention and immediately after completion of the program.
Results: The average weight showed a significant decrease from 69.0 } 8.8 kg to 65.7 } 8.7 kg before and after intervention (p<0.001), respectively. It was also shown that the presence or absence of chronic diseases, social support from a spouse and the decrease of avoidance stress coping were related to weight loss.
Conclusion: The findings suggest that it will be further necessary to continue working on the need to enhance awareness about stress with a view to preventing occurrence of rebound after the end of weight loss programs and acquisition coping techniques, apart from the cooperation of attending doctors, strengthening of social support from family and friends and managing stress for the duration of the program.
2.Weight Loss and Improvement of Metabolic Syndrome by Interventional Program Based on Health Education
Akiko NOGI ; Kuninori SHIWAKU ; Keiko KITAJIMA ; Masayuki YAMASAKI ; Erdembileg ANUURAD ; Byambaa ENKHMAA ; Toshimi YONEYAMA ; Michio HASHIMOTO ; Isao KIHARA ; Chiaki YAKURA ; Hideaki HANAOKA ; Yuri IYAMA ; Seiko MIHARA ; Yosuke YAMANE
Journal of the Japanese Association of Rural Medicine 2004;53(4):649-659
A cluster of insulin resistance, dyslipidemia and hypertension has been labeled as a metabolic syndrome. Asians have a lower rate of obesity than Caucasians, but have recently become increasingly prone to obesity and the metabolic syndrome, especially in rural communities in Japan. Although weight loss has been considered to be effective for improvement of the metabolic syndrome, most data are based on studies in Western countries with only limited information derived from Japanese populations. We conducted a study of 188 subjects who participated in our interventional program for obesity based on health education and self-determination in 2000-2003. The intervention induced significant decreases in caloric intakes and increases in physical activity in the participants, and then resulted in a significant 1.3kg reduction in weight on the average. Weght-loss was significantly associated with indexes of obesity, values of total cholesterol, triglyceide and HDL cholesterol levels, but was not related with blood pressure and LDL cholesterol, which were significantly decreased by our intervention. Furthermore a simple regression analysis was carried out to verify whether weight loss and metabolic syndrome parameters were related. Weight loss was determinantsexplaining less than a total of 10% of the variance in triglyceride and total cholesterol for the participants. Future studies of weight loss for metabolic syndrome should incorporate Asian ethnic factors, such as dietary habits and genetic influences.
Syndrome
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Weight Loss
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Obesity
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Health education
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Metabolic
3.Relationships of habitual daily alcohol consumption with all-day and time-specific average glucose levels among non-diabetic population samples.
Maho ISHIHARA ; Hironori IMANO ; Isao MURAKI ; Kazumasa YAMAGISHI ; Koutatsu MARUYAMA ; Mina HAYAMA-TERADA ; Mari TANAKA ; Mikako YASUOKA ; Tomomi KIHARA ; Masahiko KIYAMA ; Takeo OKADA ; Midori TAKADA ; Yuji SHIMIZU ; Tomotaka SOBUE ; Hiroyasu ISO
Environmental Health and Preventive Medicine 2023;28():20-20
BACKGROUND:
Alcohol consumption is a prevalent behavior that is bi-directionally related to the risk of type 2 diabetes. However, the effect of daily alcohol consumption on glucose levels in real-world situations in the general population has not been well elucidated. This study aimed to clarify the relationship between alcohol consumption and all-day and time-specific glucose levels among non-diabetic individuals.
METHODS:
We investigated 913 non-diabetic males and females, aged 40-69 years, during 2018-2020 from four communities across Japan. The daily alcohol consumption was assessed using a self-report questionnaire. All-day and time-specific average glucose levels were estimated from the interstitial glucose concentrations measured using the Flash glucose monitoring system for a median duration of 13 days. Furthermore, we investigated the association between all-day and time-specific average glucose levels and habitual daily alcohol consumption levels, using never drinkers as the reference, and performed multiple linear regression analyses after adjusting for age, community, and other diabetes risk factors for males and females separately.
RESULTS:
All-day average glucose levels did not vary according to alcohol consumption categories in both males and females. However, for males, the average glucose levels between 5:00 and 11:00 h and between 11:00 and 17:00 h were higher in moderate and heavy drinkers than in never drinkers, with the difference values of 4.6 and 4.7 mg/dL for moderate drinkers, and 5.7 and 6.8 mg/dL for heavy drinkers. Conversely, the average glucose levels between 17:00 and 24:00 h were lower in male moderate and heavy drinkers and female current drinkers than in never drinkers; the difference values of mean glucose levels were -5.8 for moderate drinkers, and -6.1 mg/dL for heavy drinkers in males and -2.7 mg/dL for female current drinkers.
CONCLUSIONS
Alcohol consumption was associated with glucose levels in a time-dependent biphasic pattern.
Humans
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Male
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Female
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Diabetes Mellitus, Type 2
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Blood Glucose Self-Monitoring
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Blood Glucose
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Alcohol Drinking/epidemiology*
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Risk Factors
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Alcoholic Intoxication