104 related articles for article (PubMed ID: 38956083)
1. Age-appropriate BMI cut-offs for malnutrition among older adults in India.
Singh A; Chattopadhyay A
Sci Rep; 2024 Jul; 14(1):15072. PubMed ID: 38956083
[TBL] [Abstract][Full Text] [Related]
2. Age-appropriate BMI cut-points for cardiometabolic health risk: a cross-sectional analysis of the Canadian Longitudinal Study on Aging.
Javed AA; Ma J; Anderson LN; Mayhew AJ; So HY; Griffith LE; Gilsing A; Raina P
Int J Obes (Lond); 2022 May; 46(5):1027-1035. PubMed ID: 35094005
[TBL] [Abstract][Full Text] [Related]
3. Combining general and central measures of adiposity to identify risk of hypertension: a cross-sectional survey in rural India.
Ragavan RS; Ismail J; Evans RG; Srikanth VK; Kaye M; Joshi R; Thankappan KR; Chow CK; Riddell MA; Oldenburg B; Mahal A; Kalyanram K; Kartik K; Suresh O; Thomas N; Mini GK; Maulik PK; Arabshahi S; Thrift AG
Obes Res Clin Pract; 2023; 17(3):249-256. PubMed ID: 37142499
[TBL] [Abstract][Full Text] [Related]
4. Defining anthropometric thresholds (mid-arm circumference and calf circumference) in older adults residing in the community: a cross-sectional analysis using data from the population representative Longitudinal Aging Study in India (LASI DAD).
Bhagwasia M; Rao AR; Banerjee J; Bajpai S; Khobragade PY; Raman AV; Talukdar A; Jain A; Rajguru C; Sankhe L; Goswami D; Shanthi GS; Kumar G; Varghese M; Dhar M; Gupta M; Koul PA; Mohanty RR; Chakrabarti SS; Yadati SR; Dey S; Lee J; Dey AB
BMJ Open; 2023 Dec; 13(12):e077530. PubMed ID: 38151275
[TBL] [Abstract][Full Text] [Related]
5. The cut-off values of anthropometric variables for predicting mild cognitive impairment in Malaysian older adults: a large population based cross-sectional study.
Won H; Abdul MZ; Mat Ludin AF; Omar MA; Razali R; Shahar S
Clin Interv Aging; 2017; 12():275-282. PubMed ID: 28223785
[TBL] [Abstract][Full Text] [Related]
6. Association of anthropometric measures of obesity and physical activity with cardio-vascular diseases among older adults: Evidence from a cross-sectional survey, 2017-18.
Banerjee S; Kumar P; Srivastava S; Banerjee A
PLoS One; 2021; 16(12):e0260148. PubMed ID: 34910748
[TBL] [Abstract][Full Text] [Related]
7. Obesity-related measures and successful ageing among community-dwelling older adults in India: a cross-sectional study.
Muhammad T; Balachandran A; Kumar P; Srivastava S
Sci Rep; 2022 Oct; 12(1):17186. PubMed ID: 36229480
[TBL] [Abstract][Full Text] [Related]
8. Double burden: a cross-sectional survey assessing factors associated with underweight and overweight status in Danang, Vietnam.
Ly KA; Ton TG; Ngo QV; Vo TT; Fitzpatrick AL
BMC Public Health; 2013 Jan; 13():35. PubMed ID: 23316727
[TBL] [Abstract][Full Text] [Related]
9. Extended international (IOTF) body mass index cut-offs for thinness, overweight and obesity.
Cole TJ; Lobstein T
Pediatr Obes; 2012 Aug; 7(4):284-94. PubMed ID: 22715120
[TBL] [Abstract][Full Text] [Related]
10. State-wise dynamics of the double burden of malnutrition among 15-49 year-old women in India: how much does the scenario change considering Asian population-specific BMI cut-off values?
Sengupta A; Angeli F; Syamala TS; Van Schayck CP; Dagnelie P
Ecol Food Nutr; 2014; 53(6):618-38. PubMed ID: 25357268
[TBL] [Abstract][Full Text] [Related]
11. Interaction between depressive symptoms and obesity-related anthropometric measures on multimorbidity among community-dwelling older adults: evidence from India.
Ahmed W; Muhammad T; Irshad CV
BMC Public Health; 2024 Feb; 24(1):402. PubMed ID: 38326765
[TBL] [Abstract][Full Text] [Related]
12. Prevalence and risk factors with overweight and obesity among Vietnamese adults: Caucasian and Asian cut-offs.
Trinh OT; Nguyen ND; Phongsavan P; Dibley MJ; Bauman AE
Asia Pac J Clin Nutr; 2009; 18(2):226-33. PubMed ID: 19713182
[TBL] [Abstract][Full Text] [Related]
13. Evaluating the concurrent validity of body mass index (BMI) in the identification of malnutrition in older hospital inpatients.
Ng WL; Collins PF; Hickling DF; Bell JJ
Clin Nutr; 2019 Oct; 38(5):2417-2422. PubMed ID: 30501917
[TBL] [Abstract][Full Text] [Related]
14. Mid-upper arm circumference as a substitute for body mass index in the assessment of nutritional status among adults in eastern Sudan.
Musa IR; Omar SM; Adam I
BMC Public Health; 2022 Nov; 22(1):2056. PubMed ID: 36357916
[TBL] [Abstract][Full Text] [Related]
15. Examining sex disparity in the association of waist circumference, waist-hip ratio and BMI with hypertension among older adults in India.
Muhammad T; Paul R; Rashmi R; Srivastava S
Sci Rep; 2022 Jul; 12(1):13117. PubMed ID: 35907951
[TBL] [Abstract][Full Text] [Related]
16. [Body mass index cut-offs for overweight and obesity in Chinese children and adolescents aged 2 - 18 years].
Li H; Zong XN; Ji CY; Mi J
Zhonghua Liu Xing Bing Xue Za Zhi; 2010 Jun; 31(6):616-20. PubMed ID: 21163089
[TBL] [Abstract][Full Text] [Related]
17. [The cut-off points of body mass index and waist circumference for predicting metabolic risk factors in Chinese adults].
Gao M; Wei YX; Lyu J; Yu CQ; Guo Y; Bian Z; Pei P; Du HD; Chen JS; Chen ZM; Huang T; Li LM;
Zhonghua Liu Xing Bing Xue Za Zhi; 2019 Dec; 40(12):1533-1540. PubMed ID: 32062911
[No Abstract] [Full Text] [Related]
18. Sensitivity and specificity of waist circumference as a single screening tool for identification of overweight and obesity among Malaysian adults.
Kee CC; Jamaiyah H; Geeta A; Ali ZA; Safiza MN; Suzana S; Khor GL; Rahmah R; Jamalludin AR; Sumarni MG; Lim KH; Faudzi YA; Amal NM
Med J Malaysia; 2011 Dec; 66(5):462-7. PubMed ID: 22390102
[TBL] [Abstract][Full Text] [Related]
19. Comparative analysis of anthropometric indices of obesity as correlates and potential predictors of risk for hypertension and prehypertension in a population in Nigeria.
Ononamadu CJ; Ezekwesili CN; Onyeukwu OF; Umeoguaju UF; Ezeigwe OC; Ihegboro GO
Cardiovasc J Afr; 2017 Mar/Apr 23; 28(2):92-99. PubMed ID: 27701484
[TBL] [Abstract][Full Text] [Related]
20. Body Composition Assessment and Nutritional Status Evaluation in Men and Women Portuguese Centenarians.
Pereira da Silva A; Matos A; Valente A; Gil Â; Alonso I; Ribeiro R; Bicho M; Gorjão-Clara J
J Nutr Health Aging; 2016 Mar; 20(3):256-66. PubMed ID: 26892574
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]