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Association between dietary patterns and sleep quality, temperament, stress sensitivity & QOL in a general adult population - investigation in the population with/without metabolic syndrome

Association between dietary patterns and sleep quality, temperament, stress sensitivity & QOL in a general adult population - investigation in the population with/without metabolic syndrome - Association between dietary patterns and sleep quality, temperament, stress sensitivity & QOL

Status
Active, not recruiting
Phases
Unknown
Study type
Observational
Source
JPRN
Registry ID
JPRN-UMIN000025479
Enrollment
200
Registered
2017-01-02
Start date
2015-01-17
Completion date
Unknown
Last updated
2026-06-29

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Psychiatric disorders, sleep disorder

Interventions

None listed

Sponsors

Hokkaido University
Lead Sponsor

Eligibility

Sex/Gender
All

Inclusion criteria

Inclusion criteria: Healthy adults

Exclusion criteria

Exclusion criteria: Undergoing medical treatment

Design outcomes

Primary

MeasureTime frame
Dietary patterns for the last one month by self-administered survey (nutrition and foods)

Secondary

MeasureTime frame
1. Health survey Global Physical Activity Questionnaire (GPAQ), Sleep quality (Pittsburgh Sleep Quality Index Japanese version, PSQI-J), Temperament (EPQ neuroticism short version and Temperament Evaluation of Memphis, Pisa, Paris and San Diego-auto questionnaire version, TEMPS-A), Impulsiveness (Barratt Impulsive Scale, BIS), Depressiveness (Patient Health Questionnaire, PHQ-9), Stress sensitivity (Life Experiences Survey, LES), and QOL (SF-8). Scores from these health indices for the analysis. 2. Statistics 2-1. Direct correlation between Nutrition & foods and health indices by Pearson's correlation test. 2-2. Indirect correlation between Nutrition & foods and health indices by covariance structure analysis. 2-3. Identifying subgroups according to dietary patterns by cluster analysis with k-means method, and comparison of the differences of health scores among the subgroups by ANOVA with Tukey-Kramer's adjustment.

Countries

Japan

Contacts

Public ContactMinori Koga

Hokkaido University Graduate School of Medicine Department of Psychiatry

mkoga@med.hokudai.ac.jp011-706-5160

Outcome results

None listed

Source: JPRN (via WHO ICTRP) · Data processed: Jul 3, 2026