Determinant factors of the difference between self-reported weight and measured weight among Japanese.

OBJECTIVES: To assess the difference between self-reported and measured weight values in Japanese men and women and to determine the underlying determinants of the differences between self-reported and measured values. METHODS: The data were collected from 363 general Japanese individuals aged 16-88 years living in Kumamoto prefecture. Participants completed a self-administered questionnaire designed for this study with self-reported weight and height values. Measured weight and height were measured immediately after questionnaire completion. Paired t-tests identified differences between self-reported and measured values by sex. Multiple-stepwise regression analysis examined the independent variables' effects on the differences between self-reported and measured weights. RESULTS: Significant differences were found between self-reported and measured values for both sexes (p < 0.001). There was a significant negative relationship between the difference in an individual's self-reported and measured weight in each sex, with higher measured weight individuals more likely to underestimate their weight. Multiple-stepwise regression analysis models explained 12.1 % (p < 0.01), 11.3 % (p < 0.01), and 5.6 % (p < 0.01) of the variance in all participants, men, and women, respectively. Significant effects were found for age, weight measurement frequency, and measured weight in total participants, weight measurement frequency, and measured weight for men, and age for women. CONCLUSIONS: In this study, the mean absolute value of the weight and height variances proved the unreliability of self-reported weight and height values. This study's findings suggest self-reported weight inaccuracy especially for obese populations. This should be adjusted when using it in epidemiological studies and healthcare planning.

Relationship between lifestyle and lifestyle-related factors in a rural-urban population of Japan.

OBJECTIVE: To clarify the actual state of residents' lifestyle in a mixed rural-urban area in Japan, and to investigate the relationship between residents' lifestyle and lifestyle-related factors. METHODS: The Japanese version of Health Promoting Lifestyle Profile-II (HPLP-II), lifestyle-related factors developed through group work with residents of Town A, and demographic variables were used to evaluate 1176 community residents' lifestyles and associated factors. RESULTS: Factor analysis revealed that there were 4 factors related to healthy lifestyle. Nonparametric analysis revealed that female and elderly groups showed higher overall HPLP-II score than male and young groups. A significant correlation coefficient was seen between scores of overall HPLP-II and lifestyle-related factors (r = 0.611, p < 0.001). Multiple linear regression analysis demonstrated that HPLP-II was significantly associated with each lifestyle-related factor, showing a similar order in both gender and age groups. Finally, covariance structure analysis demonstrated that the score of health cognition and regional factors increased the score of HPLP-II, which then increased the score of self-rated health. CONCLUSIONS: The present research clarified the actual state of residents' lifestyles by age and gender in a mixed rural-urban area in Japan, demonstrating a vector model from health cognition and regional factors to self-rated health, via residents' lifestyle.

Assessment of health-promoting lifestyle profile in Japanese university students.

OBJECTIVES: This descriptive study of 314 students was conducted to determine whether there were any relationships of their demographic variables with a health-promoting lifestyle profile. METHODS: The Japanese version of the Health Promoting Lifestyle Profile II (HPLP-II) questionnaire was used to investigate students' lifestyles. One-way analysis of variance (ANOVA) and multiple comparison procedures using the Scheffe test were conducted to identify significant differences among university year (first, second, etc.) groups. The t-test independent participants was utilized to compare the HPLP-II scores according to gender and living with family (yes/no). Multiple regression analysis was used to analyze the effects of various demographics on the overall HPLP-II score and the six health-promoting lifestyle subscales. RESULTS: The whole cohort of participants had an overall HPLP-II mean score of 2.50 (SD = 0.29), with the highest mean score being for interpersonal relations (3.05 ± 0.44), and the lowest mean score being for health responsibility (2.01 ± 0.53). The overall HPLP-II score of the students during the first university year was 2.59 (SD = 0.29), and this score progressively declined in their second year (2.49 ± 0.29), third year (2.47 ± 0.28), and fourth year (2.45 ± 0.30). Female students practiced significantly better health responsibility, interpersonal relations, and nutrition than males, and male students practiced significantly better physical activity than females. The students who were living with family had significantly higher nutrition scores than those not living with family. CONCLUSIONS: These significant findings linking the HPLP-II, university year level, and living with family (yes/no) in university students will enable healthcare providers to develop interventions to assist students in improving their health lifestyles in the university environment and will help in devising suitable education programs.

An intervention study to promote self-improvement of lifestyle in a Japanese community: a new health support program.

OBJECTIVE: To assess the effectiveness of two health support programs developed to improve the lifestyle of community residents through exercise, nutrition-based health education, and group dynamics. METHODS: A total of 171 subjects were selected from community residents showing an abnormal result in at least one metabolic syndrome-related laboratory test. The subjects were divided into two groups: a group participating only in the 5-month initiation program (i.e., the initial program; n = 83), and a group participating both the initiation program and the subsequent 6-month enhancing program (i.e., the total program; n = 88). Each group was followed up for 1 year after completing the intervention program. The effectiveness of the intervention was determined based on data from the Health Promoting Lifestyle Profile II and laboratory tests, which were collected four times during the 2-year follow-up. Thirty-nine individuals were selected as the control group, based on the same criteria, to confirm the effectiveness of completing the intervention program. RESULTS: The results demonstrate that completion of the initiation programe was an effective intervention in terms of individual improvements in lifestyle and laboratory test results. The improvements achieved by the end of the initiation program had been sustained at the end of the total program, and were similar in both groups. One year after the end of the total program, both groups showed similar findings, confirming the effectiveness of the intervention. CONCLUSION: The results of this study demonstrate the effectiveness of two health support programs for improving the lifestyle of community residents. It is worth noting that, at the end of the 2-year follow-up, the improvements in lifestyle due to the initiation program were similar to those of the total program.

A comparative study of health-promoting lifestyles in agricultural and non-agricultural workers in Japan.

OBJECTIVES: To clarify the difference in health-promoting lifestyles between agricultural and non-agricultural workers in Japan, a cross-sectional study was conducted on 627 residents living in a town with a mixed rural-urban population. METHODS: The subjects were divided into 8 groups by job (agricultural and non-agricultural), age (young and old), and gender (male and female). To evaluate the subjects' lifestyles, the Health Promoting Lifestyle Profile II (HPLP-II) was applied. The Bartlett test and the Kendall rank test were performed for statistical analysis. RESULTS: There was no significant difference in the overall score of the HPLP-II between the two job groups. However, for the HPLP-II subscales, a significantly higher score for "spiritual growth" and a significantly lower score for "physical activity" were seen in the agricultural group than in the non-agricultural group. In general, the old and female groups showed higher scores than the corresponding groups, regardless of job type. CONCLUSIONS: It was determined that the major countermeasures to maintain a healthy lifestyle in agricultural workers should be associated with how to introduce daily activities that maintain and enhance "spiritual growth" and improve "physical activity".