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Identification of instruments for evaluation of behavioural and psychological parameters associated with obesity management: A systematic review with narrative synthesis of the findings
被引:4
作者:
Chopra, Sakshi
[1
]
Ranjan, Piyush
[2
]
Malhotra, Anita
[3
]
Sarkar, Siddharth
[4
]
Kumari, Archana
[5
]
Kaloiya, Gauri Shankar
[4
]
Dwivedi, S. N.
[6
]
Siddhu, Anupa
[1
]
Vikram, Naval K.
[2
]
机构:
[1] Univ Delhi, Dept Home Sci, New Delhi, India
[2] All India Inst Med Sci, Dept Med, Third Floor,Teaching Block, New Delhi 110029, India
[3] Univ Delhi, Lakshmibai Coll, Dept Home Sci, New Delhi, India
[4] All India Inst Med Sci, Dept Psychiat, New Delhi, India
[5] All India Inst Med Sci, Dept Obstet & Gynaecol, New Delhi, India
[6] All India Inst Med Sci, Dept Biostat, New Delhi, India
关键词:
Psychometric properties;
Diet;
Physical activity;
Questionnaire;
Assessment;
Validity;
Reliability;
DUTCH EATING BEHAVIOR;
TERM WEIGHT-LOSS;
QUALITY-OF-LIFE;
PHYSICAL-ACTIVITY;
SELF-EFFICACY;
PRETREATMENT PREDICTORS;
QUESTIONNAIRE DEBQ;
CONSTRUCT-VALIDITY;
DIETARY RESTRAINT;
ACCUMULATING DATA;
D O I:
10.1016/j.dsx.2021.102350
中图分类号:
R5 [内科学];
学科分类号:
1002 ;
100201 ;
摘要:
Background and aims: To identify instruments used to evaluate the predictors of successful weight loss across weight loss trials. Methods: We searched PubMed, PsychInfo, Cochrane Reviews and Scopus for weight loss trials reporting instruments published in the last 16 years. Results: A total of 46 significant behavioral and psychological predictors were identified, of which 32 instruments were finally selected. SF-36 questionnaire and Obesity Related Problem Scale for psychosocial health, TREMORE scale for motivation, Social Support Scale for support, Weight Efficacy Lifestyle Scale for self-efficacy and Body Shape Questionnaire for body image had moderate quality. Barriers to healthy eating questionnaire scale and Dutch Eating Behavior also had moderate quality. Conclusion: Use of uniform instruments with optimum quality can benefit clinical and community-based researchers to generate reliable datasets. (c) 2021 Diabetes India. Published by Elsevier Ltd. All rights reserved.
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