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Obi-Nwosu AL, Nwosu BO, Ezemenahi SI, Obi-Nwosu DI, Nwosu CS, Azudialu BC, Ojiakor CS, Umeh UM, Izuchukwu EC, Ofiaeli CI, Ulochukwu CM. Anthropometric Predictors of Health-Related Quality of Life in Obese Patients Attending a Tertiary Hospital in Nnewi, South-East Nigeria: A Cross-Sectional Study. Niger J Clin Pract 2024; 27:376-382. [PMID: 38528359 DOI: 10.4103/njcp.njcp_396_23] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/24/2023] [Accepted: 02/07/2024] [Indexed: 03/27/2024]
Abstract
BACKGROUND Obesity as a disorder with excess body fat directly decreases quality of life. While Body Mass Index (BMI) has been used largely in health studies as a measure of obesity, it is largely unable to differentiate between body fat and lean body mass, hence other anthropometric measures can be used to assess body fat. OBJECTIVE To determine the association of anthropometric indicators with health-related quality of life (HRQoL) in obese adults. MATERIALS AND METHODS A cross-sectional study of obese adults (BMI ≥30kg/m2) attending the general outpatient clinic was conducted over four months. The quality of life was assessed using the short form-36 (SF-36) questionnaire. The anthropometric indicators used were BMI, waist circumference (WC), waist hip ratio (WHR), and waist-height ratio (WHtR). RESULTS Physical component summary (PCS) was significantly related to BMI, WHtR, and WC. After adjusting for co-variables (gender, age, occupation, and marital status), they remained significantly associated with PCS. Mental component summary (MCS) was significantly related to BMI, WHtR, and WC. After adjusting for the known determinants of HRQoL, only BMI remained significantly associated with MCS (P = -0.004; r = -0.146). When all the indicators were included in the same regression model, no anthropometric indicator was significantly related to MCS while only WHtR was significantly associated with PCS (P = 0.001; r = -0.465). CONCLUSION HRQoL in obese patients is related to measures of body fat. The physical and mental components of health-related quality of life are correlated differently with the various anthropometric measures of obesity. The WHtR was found to be an independent predictor of the physical component of HRQoL.
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Affiliation(s)
- Amaka L Obi-Nwosu
- Department of Family Medicine, Nnamdi Azikiwe University, Nnewi Campus, Nigeria
| | - Betrand O Nwosu
- Department of Obstetrics and Gynaecology, Nnamdi Azikiwe University, Nnewi Campus, Nigeria
| | - Sylvia I Ezemenahi
- Department of Family Medicine, Nnamdi Azikiwe University, Nnewi Campus, Nigeria
| | - Daniella I Obi-Nwosu
- Department of Internal Medicine, Nnamdi Azikiwe University Teaching Hospital, Nnewi, Nigeria
| | - Chinekwu S Nwosu
- Department of Radiology, Nnamdi Azikiwe University, Nnewi Campus, Nigeria
| | - Bede C Azudialu
- Department of Family Medicine, Federal Medical Centre Owerri, Imo State, Nigeria
| | - Chukwudi S Ojiakor
- Department of Anaesthesia, Nnamdi Azikiwe University, Nnewi Campus, Nigeria
| | - Uche M Umeh
- Department of Community Medicine, Chukwuemeka Odumegwu Ojukwu University, Awka, Nigeria
| | - Emeka C Izuchukwu
- Department of Chemical Pathology, Nnamdi Azikiwe University, Nnewi Campus, Nigeria
| | - Chika I Ofiaeli
- Department of Family Medicine, Nnamdi Azikiwe University, Nnewi Campus, Nigeria
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Tozetto WR, Leonel LDS, Benedet J, Duca GFD. Quality of life and its relationship with different anthropometric indicators in adults with obesity. FISIOTERAPIA EM MOVIMENTO 2021. [DOI: 10.1590/fm.2021.34102] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/22/2022] Open
Abstract
Abtract Introduction: Obesity compromises the quality of life. However, few studies have investigated the influence of different anthropometric indicators on the quality of life of this population. Objective: We aimed to correlate the physical and mental components of quality of life and verify its association with different anthropometric indicators in adults with obesity. Methods: A cross-sectional study was conducted in adults with obesity [body mass index (BMI) ≥ 30 kg/m²]. The quality of life was investigated using the SF-36 questionnaire, with scores ranging from 0 (worst-case scenario) to 100 (best scenario for the outcome). The anthropometric indicators used were BMI, waist circumference, waist/height ratio (WHR), and lean and fat body mass. For analysis, Spearman’s correlation and crude and adjusted linear regression for sociodemographic variables were used. Results: A total of 75 subjects (nfemales = 47; µage= 34.8 ± 7.1 years) were included, and their means of the physical and mental components were 64.5 ± 15.9 and 50.8 ± 21.3 points, respectively. The social functioning domain presented a strong positive correlation (r = 0.760) with the mental health domain, and eight moderate correlations (0.400 ≤ r ≥ 0.699) were found between the different domains of the questionnaire. The functional capacity domain and the physical component presented a moderate negative correlation with the WHR (r = -0.402 and r = -0.407, respectively). After adjustment, the WHR was inversely associated with the physical component (β = -1.197; p = 0.002). Conclusion: In adults with obesity, important correlations were observed between the physical and mental components of quality of life, and the waist/height ratio was the only anthropometric indicator correlated and associated with the physical component of the outcome.
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Rias YA, Kurniasari MD, Traynor V, Niu SF, Wiratama BS, Chang CW, Tsai HT. Synergistic Effect of Low Neutrophil-Lymphocyte Ratio With Physical Activity on Quality of Life in Type 2 Diabetes Mellitus: A Community-Based Study. Biol Res Nurs 2020; 22:378-387. [PMID: 32390456 DOI: 10.1177/1099800420924126] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/14/2022]
Abstract
BACKGROUND Physical inactivity and Type 2 diabetes mellitus (T2DM)-associated inflammatory biomarkers are correlated with poor quality of life (QoL). However, no study has investigated the synergistic effect of physical activity (PA) and lower neutrophil-lymphocyte ratio (NLR) on QoL. OBJECTIVE We examined the independent and synergistic effects of PA and inflammatory biomarkers on three domains of QoL in T2DM. METHODS This cross-sectional study included 294 patients with T2DM from community clinics in Indonesia. The 36-item Short Form Survey and a questionnaire about PA engagement were used to measure QoL and metabolic equivalent of task (MET)-hr/week, respectively. Inflammatory biomarkers were measured in fasting blood. Adjusted coefficients β and 95% confidence interval (CI) were estimated using multiple linear regression. The synergistic effect was analyzed using additive interaction for linear regression. RESULTS Patients with PA ≥ 7.5 MET-hr/week exhibited significantly higher total QoL (β = 8.41, 95% CI = [6.04, 10.78]) and physical component score (PCS; β = 13.90, 95% CI = [10.52, 17.29]) than those with PA < 7.5 MET-hr/week. Patients with NLR < 1.940 had significantly higher total QoL (β = 4.76, 95% CI = [3.41, 6.11]), mental component score (MCS; β = 2.62, 95% CI = [0.75, 4.49]), and PCS (β = 6.89, 95% CI = [4.97, 8.82]) than patients with NLR ≥ 1.940. PA ≥ 7.5 MET-hr/week and NLR < 1.940 exhibited a synergistic effect on total QoL, MCS, and PCS. CONCLUSIONS High PA level and low NLR had a positive synergistic effect on QoL among patients with T2DM.
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Affiliation(s)
- Yohanes Andy Rias
- School of Nursing, College of Nursing, Taipei Medical University, Taipei, Taiwan, R.O.C.,Faculty of Health and Medicine, College of Nursing, Institut Ilmu Kesehatan Bhakti Wiyata, Kediri, Jawa Timur, Indonesia
| | - Maria Dyah Kurniasari
- School of Nursing, College of Nursing, Taipei Medical University, Taipei, Taiwan, R.O.C
| | - Victoria Traynor
- School of Nursing, Faculty of Science, Medicine and Health, University of Wollongong, New South Wales, Australia
| | - Shu Fen Niu
- Post-Baccalaureate Program in Nursing, College of Nursing, Taipei Medical University, Taipei, Taiwan, R.O.C
| | - Bayu Satria Wiratama
- Department of Biostatistics, Epidemiology, and Population Health, Faculty of Medicine, Public Health and Nursing, Universitas Gadjah Mada, Bulaksumur Yogyakarta, Indonesia
| | - Ching Wen Chang
- Department of Obstetrics and Gynecology, Taipei Medical University Hospital, Taipei, Taiwan, R.O.C
| | - Hsiu Ting Tsai
- Post-Baccalaureate Program in Nursing, College of Nursing, Taipei Medical University, Taipei, Taiwan, R.O.C
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Tajik A, Rejeh N, Heravi-Karimooi M, Samady Kia P, Tadrisi SD, Watts TE, Griffiths P, Vaismoradi M. The effect of Tai Chi on quality of life in male older people: A randomized controlled clinical trial. Complement Ther Clin Pract 2018; 33:191-196. [PMID: 30396620 DOI: 10.1016/j.ctcp.2018.10.009] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/08/2018] [Revised: 10/05/2018] [Accepted: 10/16/2018] [Indexed: 01/23/2023]
Abstract
BACKGROUND AND AIM Physical activity can improve the mental and physical functioning of older people. This study investigated the impact of Tai Chi exercise on the quality of life of older men. METHODS This randomized controlled clinical trial was conducted on 132 older men in an urban area of Iran. The subjects were randomly assigned into two groups: a Tai Chi intervention group and a control group (n = 66 per group). Quality of life was evaluated using the Leiden-Padua quality of life questionnaire before and after the intervention. Data analysis was performed using analytical statistics via the SPSS software. RESULTS After eight weeks of Tai Chi exercise, the mean scores of quality of life in different areas demonstrated a statistically significant difference between the two groups (p < 0 0.05). CONCLUSION This study illustrated that the 8-week Tai Chi intervention had a positive effect on quality of life in older men.
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Affiliation(s)
- Alireza Tajik
- Department of Nursing, Faculty of Nursing and Midwifery, Shahed University, Tehran, Iran.
| | - Nahid Rejeh
- Elderly Care Research Center, Department of Nursing, Faculty of Nursing and Midwifery, Shahed University, Tehran, Iran.
| | - Majideh Heravi-Karimooi
- Elderly Care Research Center, Department of Nursing, Faculty of Nursing and Midwifery, Shahed University, Tehran, Iran.
| | - Parvaneh Samady Kia
- Department of Nursing, Faculty of Nursing and Midwifery, Iran University of Medical Sciences, Tehran, Iran.
| | | | - Tessa E Watts
- School of Health Care Sciences, Cardiff University, Cardiff, UK.
| | - Pauline Griffiths
- Department of Nursing, College of Human and Health Sciences, Swansea University, Wales, UK.
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The Association of Fit-Fat Index with Incident Diabetes in Japanese Men: A Prospective Cohort Study. Sci Rep 2018; 8:569. [PMID: 29330373 PMCID: PMC5766556 DOI: 10.1038/s41598-017-18898-3] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/18/2017] [Accepted: 12/19/2017] [Indexed: 12/28/2022] Open
Abstract
Type 2 diabetes is increasing globally and in Asia. The purpose of this study was to examine the association of a fit-fat index (FFI) with diabetes incidence among Japanese men. In total 5,014 men aged 18–64 years old, who had an annual health check up with no history of major chronic disease at baseline from 2002 to 2009 were observed. CRF was estimated via cycle ergometry. Overall, 7.6% of the men developed diabetes. The mean follow-up period was 5.3 years. Hazard ratios, 95% confidence intervals and P trend for diabetes incidence were obtained using the Cox proportional hazards model while adjusting for confounding variables. High FFI demonstrated lower risk 0.54 (0.36–0.82) compared to low BMI 0.63 (0.44–0.90), low WHtR 0.64 (0.41–1.02), and High CRF 0.72 (0.51–1.03). FFI showed a marginally stronger dose response relationship across quartiles (P (trend) =0.001) compared to BMI (P (trend) =0.002), WHtR (P (trend) =0.055), and CRF (P (trend) =0.005). Overall, both fitness and fatness play independent roles in determining diabetes incidence in Japanese men. FFI may be a more advantageous physical fitness measure because it can account for changes in fitness and/or fatness.
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