A cross-sectional study was conducted among 1305 female students who participated in a periodic health examination between April and May 2018 at a Japanese medical university. The students were from nine departments: radiological technology, clinical nutrition, physiotherapy, medical welfare, acupuncture, clinical engineering, medical information science, pharmaceutical sciences, and nursing. All participants provided written informed consent before participating in the study and were informed that there was no penalty for choosing not to participate. The paper-based questionnaire was distributed only to students who had provided written consent. Students who received the questionnaire completed it during the physical examination of their periodic health examination.
Body height and weight data were obtained from the periodic health examination. BMI was calculated as weight in kg/height in m2. Global SRH measures typically include the question “How would you rate your overall health?” with five response categories ranging from excellent to poor (i.e., excellent, very good, good, fair, and poor). These five categories are dichotomized into either good health (excellent, very good, or good) or impaired health (fair or poor) [24-26].
The seven independent variables for this study were grade level (1-2 or ≥3), living status (living with others or living alone), smoking habit (none, past smoker, or current smoker), alcohol consumption (none, a few times per month, a few times per week, or daily), University of California Los Angeles (UCLA) activity score (<5 points or ≥5 points) [27], Athens Insomnia Scale (AIS) (no insomnia or insomnia) [28-30], and FBC (<6 days/week or ≥6 days/week). We classified the participants into three groups based on physique recognition (“Want to be underweight,” “Want to be overweight,” or “Want to be normal weight”), as measured by the relationship between their current BMI and their desire to lose or gain weight. Physical activity was assessed using the UCLA activity score [27], which has used previously [31].
AIS is a self-assessment insomnia scale created by the World Health Organization for the World Project on Sleep and Health. This instrument’s reliability and validity have already been verified in other studies [28-30]. AIS items measure waking during the night, early morning awakening, total sleep duration, sleep quality, and daytime sleepiness. Each of the scale’s eight questions is answered from 0 (no problem) to 3 (a very serious problem). A total score of ≥4 on the selected items shows suspected insomnia, and a total score of ≥6 indicates insomnia.
Based on their current BMI, which was obtained via physical examination, we asked the participants “Do you want to gain or lose weight in the future?”. We classified their responses into three categories: “I want to lose weight,” “I want to stay the same weight,” and “I want to gain weight” (Table 1). Furthermore, based on Table 1, we defined physique recognition into the following three groups: “Want to be underweight,” “Want to be overweight,” and “Want to be standard weight.” If their current BMI was <18.5 but they desired to lose weight or stay the same weight, participants were defined as wanting to be underweight. Those with a current BMI <18.5 who desired to gain weight were defined as wanting to achieve standard weight. Those with a current BMI of ≥25.0 who desired to gain weight or stay the same weight were defined as wanting to be overweight, and if they desired to lose weight, they were defined as wanting to achieve standard weight. If their current BMI was 18.5–24.9, participants who desired to lose weight were classified as the wanting to be underweight group, those who desired to gain weight were classified as the wanting to be overweight group, and those who desired to stay the same weight were classified as the wanting to remain at the standard weight group (Fig. 1).
[Insert Table 1 here]
Participants were classified as having either good SRH (excellent, very good, or good) or impaired SRH (fair or poor). Differences in grade level, living status, smoking habit, alcohol consumption, UCLA activity score, AIS score, FBC, and physique recognition were compared using the Chi-square test, as appropriate. A cross-tab table was created including items such as living status, smoking habit, alcohol consumption, UCLA activity score, AIS score, FBC, and physique recognition to display the distribution of participant characteristics based on whether they had good or impaired SRH.
Multiple logistic regression analysis was used to investigate independent relationships between SRH and living status, smoking habit, alcohol consumption, UCLA activity score, AIS score, FBC, and physique recognition, after adjusting for grade level. Adjusted odds ratios and 95% confidence intervals were calculated. All statistical analyses were conducted using JMP 9.0.2 (SAS Institute Inc., Cary, NC, USA).