• Refine Query
  • Source
  • Publication year
  • to
  • Language
  • 2
  • 1
  • 1
  • Tagged with
  • 3
  • 3
  • 3
  • 2
  • 2
  • 2
  • 2
  • 1
  • 1
  • 1
  • 1
  • 1
  • 1
  • 1
  • 1
  • About
  • The Global ETD Search service is a free service for researchers to find electronic theses and dissertations. This service is provided by the Networked Digital Library of Theses and Dissertations.
    Our metadata is collected from universities around the world. If you manage a university/consortium/country archive and want to be added, details can be found on the NDLTD website.
1

The cardio-metabolic profile and bone mineral density in African and Indian postmenopausal women.

Moodley, Jayeshnee. January 2013 (has links)
AIMS. To determine the cardio-metabolic risk profile and incidence of low bone mineral density in African and Indian postmenopausal women attending the IALCH menopause clinic and to determine whether there is a correlation between cardio-metabolic parameters and low bone mineral density. METHODS. A retrospective, descriptive study involving all Indian and African postmenopausal women, above the age of 40, referred to the menopause outpatient clinic at IALCH from 01 July 2009 to 31 December 2010 was conducted. Data was collected from the medi-com database using a structured questionnaire. Cardio-metabolic data was analysed as continuous variables and summarized using means and standard deviations. Bone mineral density was treated as a quantitative variable and correlation analysis was used to assess relationships between the variables. This was done for each race group separately. The Students T-test was used to compare cardio-metabolic variables between the two ethnic groups. SPSS version 18.0 was used to analyse data. RESULTS. The records of 106 women were analysed (51 African and 55 Indian). In African and Indian women, the prevalence of hypertension was 54.9% vs 65.5%, the prevalence of diabetes was 31.4% vs 56.4%, the prevalence of dyslipidaemia was 17.6% vs 32.7% and the prevalence of ischaemic heart disease was 5.9% vs 14.9% respectively. The prevalence of low bone mineral density was higher in Indian women (40%) compared to African women (23.5%). The mean body mass index (BMI) of African women was significantly higher than Indian women, (33 vs 29). There were no significant differences between African and Indian postmenopausal women regarding their lipid profile, fasting glucose, fasting insulin and thyroid profile. The mean bone mineral density (BMD) in the hip and spine was lower in Indian women compared to African women, however the prevalence of osteopaenia and osteoporosis, as defined by T-scores, was not statistically significant. Statistically significant positive correlations were observed between an increasing BMI and BMD (p<0.001) and increases in weight and BMD (p<0.001). A statistically significant correlation were observed between serum LDL-cholesterol values and BMD (p=0.03), where serum LDL-cholesterol values were inversely proportional to BMD. There were no significant correlations between BMD and the remaining cardio-metabolic variables (ie blood pressure; waist-hip ratio; clinical stigma of dyslipidaemia; clinical stigma of insulin resistance; cholesterol; HDL; triglycerides; fasting glucose; fasting insulin and thyroid function). CONCLUSIONS. There is a high prevalence of cardiovascular risks and low BMD amongst the local menopausal population, irrespective of ethnicity. African and Indian postmenopausal women had a high prevalence of hypertension (60%), diabetes (44%), dyslipidaemia (25%) and obesity (54%). In African women, the incidence of low BMD was 35% in the hip, 53% in the neck of femur and 55% in the lumbar spine. In Indian women, the incidence of low BMD was 55% in the hip, 67% in the neck of femur and 69% in the lumbar spine. BMI and weight showed a positive correlation with bone mineral density. Regarding the cardio-metabolic variables, an increasing LDL value was negatively correlated with bone mineral density. It thus is apparent that a screening lipid profile during the peri-menopausal years, coupled with early and appropriate lifestyle management regarding body mass index/ weight may limit the burden of morbidity in later life. / Thesis (M.Med.)-University of KwaZulu-Natal, Durban, 2013.
2

Non-weight bearing water exercise : changes in cardiorespiratory function in elderly men and women

Jessop, Darrell James January 1988 (has links)
The purpose of this study was to evaluate the impact of a 5 week program of aquatic exercise on selected cardiorespiratory parameters in the elderly participant. Fifteen men and women (mean age 68.5 years, range 61-75 years) were recruited voluntarily from regional adult day-care and community centre facilities. Participants underwent a series of physiological tests before the program started and 5 weeks later at the end of the program. Measurements included height, weight, spirometry measurements (FVC, FEV¹ֹ⁰, VEmax), resting blood pressure, resting heart rate, exercise heart rate and VO₂max as determined by a continuous treadmill test (modified after Jones and Campbell, 1982). Following the 5 week aquatic exercise program, the experimental group (n = 8) showed a significant decrease in resting systolic blood pressure (SBPR) (EXPTL:131.5<CTRL:133.4 mmHg) and resting heart rate (HR rest) (EXPTL:71.0<CTRL:76.6 btsּmin⁻¹) in comparison to the control group (n = 7) which exhibited no change. In addition, the experimental group yielded a significant increase in forced expiratory volume (FEV¹ֹ⁰) (EXPTL:2.4>CTRL:2.2 1ּsec⁻¹) and maximal oxygen uptake (VO₂max ) (EXPTL:25.8>CTRL:23.5 mlּkg⁻¹ּmin⁻¹ ) in comparison to the control group. The findings in this study indicate that the exercise capacity of the elderly participant can increase with aquatic exercise: supervised aquatic exercise at or above the recommended intensity of exercise performed three times weekly can produce significant changes in the physical work capacity of the elderly / Education, Faculty of / Curriculum and Pedagogy (EDCP), Department of / Graduate
3

Cardiorespiratory fitness of Hong Kong Chinese elderly & its relationship between physical activity participation & health. / 香港華裔長者心肺功能水平及其與體能活動參與程度和健康的關係 / CUHK electronic theses & dissertations collection / Xianggang hua yi zhang zhe xin fei gong neng shui ping ji qi yu ti neng huo dong can yu cheng du he jian kang de guan xi

January 2012 (has links)
心肺功能是其中一項體能特質,而對於進行較長時間的中至高劇烈程度運動十分重要,也會影響日常活動和健康。但是,還沒有研究香港華裔長者心肺功能水平及其與體能活動參與程度和健康的關條。 / 招募對象是從現有的兩個追蹤研究來的[男女骨折研究(n=998 和884 )和頸動脈粥樣硬化研究( 191 名婦女), 70 - 79 歲年長男士最大攝氧量的參考範圖為22.3-23.0 毫升/分鐘/公斤(95%信賴區間) , 80 歲以上為19.2-20.2 毫升/分鐘/公斤。80 歲以上女性的參考範園為17.0-18.3 毫升/公斤/分鐘, 70-79 歲為19.3-20.0毫升/公斤/分鐘, 60-69 歲為2 1. 7-23.0 毫升/公斤/分鐘和年齡55-59 歲為22 .1 -23.8毫升/公斤/分鐘。男性的心肺功能與腰圍有相關性。<.0001) ,而女性的相關性還要加上體重(p<.02) ,與年齡有關的最大攝氧量衰退在男性為0.368 毫升/公斤/分鐘/年,而女性為0 .238 毫升/公斤/分鐘/年。 / 70 - 79 歲年長男士6 分鐘步行距離的參考範圍為453.3-466 公尺, 80 歲以上為382.6-403.3 公尺。80 歲以上女性的參考範圍為333.9-357.2公尺和年齡70-79 歲為396.1-406.8 公尺。6 分鐘步行距離與腰圍、身高和學歷有相關性(p:S:.05) ,與年齡有關的6 分鐘步行距離衰退在男性為9.06 公尺/年,而女性為7.35 公尺/年。從長者活動評估量表得出的體能活動參與程度被認為是與最大攝氧量成正相關(男性:r=.241,'女性:r=.214 )和6 分鐘步行距離(男性: r=.257,女性:r=.1 84) 。長者日常步行時間越長最大攝氧量和6 分鐘步行距離較佳(p≤01) ,進行劇烈運動的女性有正常最大攝氧量的機會較高(p=.041) 。男性能符合美國運動醫學學院或香港衛生署指引的明顯比不能達到指引的有較好的心肺功能。能達到指引的男性有1. 68 倍的概率有正常的心肺功能。回溯性研究追查過去的PASE 分數與現在最大攝氧量的相關性,反應出過去的體能活動參與程度對現在的心肺功能影響隨時間減少(男性由目前回到7 年前: r=0.241、0.168、0.120; 女性: r= .214、0.106、0.069 )。 / 患有高血壓男性的最大攝氧量和6 分鐘步行距離較差(p=.014) ,曾患有心肌硬塞或心絞痛男性和糖尿病女性的6 分鐘步行距離較差(p<.04) 。最大攝氧量分別與由社區認知篩選工具評估的男性認知水平(r=.107)和男女長者憂鬱量表分數男性:r=-.112 ,女性: r=-.123) 有相關性。另一方面, 6 分鐘步行距離被發現分別與簡易智能狀態測驗p<.02) 、男性的社區認知篩選工具(p=.046)的認知級別和男女長者憂鬱量表的抑鬱狀態p<.04)有差別。 / 最大攝氧量和6分鐘步行距離的年齡調整相關性連中高程度(男性:R=.459、女性: R=.425) 。除了與最大攝氧量有滿意的相關性,6分鐘步行距離與精神健康有比較密切的相關性。6分鐘步行距離可作為香港華裔長者最大攝氧量的體能代表值。 / Cardiorespiratory fitness (CRF) is one of the main attributes which is important toper form moderate-to-high intensity exercise for prolonged periods which affects daily activities as well as health. However, there are no studies among HK Chinese Elders' CRF and the relationship between this important parameter of physical fitness, PA participation and health outcomes. / By recruiting subjects from two existing cohort studies, the Osteoporetic Fractures in Men & Women Study (n=998 & 884 respectively) and the Carotid Atherosclerosis Study (191 women), the reference ranges of VO₂ peak for men were 22.3-23.0ml/min/kg (95% C.I.) at age 70-79y, and 19.2-20.2 ml/min/kg at age ≥80y. Forwomen, the reference range at age ≥80y was 17.0-18.3 ml/kg/min, 70-79y was19.3-20.0 ml/kg/min, 60-69y was 21.7-23.0 ml/kg/min and for age 55-59y was22.1-23.8 ml/kg/min. Men's VO₂ peak was associated with waist circumference(WC, p<.000l) while women's VO₂ peak additionally associated with weight (p<.02).There was an age-related decline in VO₂ peak at 0.368 ml/kg/minly in men and 0.238ml/kg/minly in women. / The reference ranges of 6MWD for men were 453.3-466.6m (95% C.I.) at age 70-79y, and 382.6-403.3m at age ≥80y. For women, the reference range at age 80≥y was 333.9-357.2m and for age 70-79y was 396.1-406.8 ml/kg/min. 6MWD was associated with WC, height and education (p≤.05). There was an age-related decline in 6MWD at 9.06m/y in men and 7.35m/y in women. / Elders' participation in PA assessed by the Physical Activity Scale for Elderly (PASE), was positively correlated with VO₂ peak (r=.241 in men, r=.214 in women) and 6MWD (r=.257 in men, r=.184 in women). Elderly walked more everyday have better VO₂peak and longer 6MWD (p≤ .0l). Women did more strenuous sport had higher chance of having normal CRF (p=.041). Men who met the guidelines by American College of Sports Medicine (ACSM) & Department of Health (DH), HK had better VO₂ peak than those who failed to meet that guidelines (p<.005). By following the PA guidelines, men had a 1.68-fold probability having normal CRF. A novel approach to retrospectively explore the correlation between the past PASE score and the present VO₂ peak revealed that the effect of past PA participation diminished with time (correlations for men from present, 4y and 7y ago: r=.241, .168, .120; for women r=.214, .106, .069). / Men with hypertension had significantly lower V02 peak and shorter 6MWD (p<.03). Men with history of myocardial infarction and angina also walked shorter in 6MWT while women only with diabetes had shorter 6MWD (p<.04). CRF was found to be correlated with cognitive level in men estimated by CSI-D (p<.0001) and GDS-15 score in both genders (r=-.112 in men, r=-.123 in women). On the other hand, 6MWD was found to be different across cognitive status estimated by MMSE (p<.02) & CSI-D (p=.046 in men only), and depression status estimated by GDS-15 (p<.04) in both genders. / Age-adjusted correlation between VO₂ peak & 6MWD was moderately high (R=.459 in men; R=.425 in women). In addition to the satisfactory correlation with VO₂ peak, stronger associations were found 6MWD, cognitive and mental health. It was suggested 6MWD might be a feasible surrogate for VO₂ peak as a physical fitness measure among HK Chinese elderly. / Detailed summary in vernacular field only. / Detailed summary in vernacular field only. / Detailed summary in vernacular field only. / Detailed summary in vernacular field only. / Detailed summary in vernacular field only. / Yau, Chung Fai Forrest. / "December 2011." / Thesis (Ph.D.)--Chinese University of Hong Kong, 2012. / Includes bibliographical references (leaves 215-237). / Electronic reproduction. Hong Kong : Chinese University of Hong Kong, [2012] System requirements: Adobe Acrobat Reader. Available via World Wide Web. / Abstract also in Chinese; appendix in Chinese. / ABSTRACT (IN ENGLISH) --- p.I / ABSTRACT (IN CHINESE) --- p.IV / ACKNOWLEDGEMENT --- p.VI / LIST OF CONTENTS --- p.VII / LIST OF TABLES --- p.XII / SELECTED ABBREVIATIONS --- p.XV / Chapter 1 --- BACKGROUND & OBJECTIVES --- p.1 / Chapter 1.1 --- INTRODUCTION --- p.1 / Chapter 1.2 --- OBJECTIVES OF THE STUDY --- p.3 / Chapter 1.3 --- OUTLINES OF THE THESIS --- p.4 / Chapter 2 --- LITERATURE REVIEW --- p.6 / Chapter 2.1 --- ELDERLY POPULATIONS --- p.6 / Chapter 2.1.1 --- Health --- p.6 / Chapter 2.1.1.1 --- Hypertension, Coronary Heart Disease & Stoke --- p.8 / Chapter 2.1.1.2 --- Diabetes --- p.10 / Chapter 2.1.1.3 --- Chronic Obstructive Pulmonary Disease --- p.11 / Chapter 2.1.1.4 --- Cognitive Function --- p.12 / Chapter 2.1.1.5 --- Depression --- p.13 / Chapter 2.2 --- THE RELATIONSHIP BETWEEN PA & HEALTH --- p.15 / Chapter 2.2.1 --- Participation in PA --- p.22 / Chapter 2.2.1.1 --- PA Recommendation --- p.24 / Chapter 2.2.2 --- Indirect Estimation ofPA Participation --- p.25 / Chapter 2.2.2.1 --- Physical Activity Scale for Elderly. --- p.26 / Chapter 2.3. --- PHYSICAL FITNESS & HEALTH. --- p.28 / Chapter 2.3.1 --- Definition of Physical Fitness. --- p.28 / Chapter 2.3.1.1 --- Cardiorespiratory Fitness --- p.30 / Chapter 2.3.2 --- Direct Assessment of Physical Fitness --- p.33 / Chapter 2.3.2.1 --- Cardiopulmonary Exercise Test --- p.33 / Chapter 2.3.2.1.1 --- Affordable Device for CPET --- p.35 / Chapter 2.3.2.2 --- Six Minutes Walk Test --- p.36 / Chapter 3 --- MATERIALS & METHODS --- p.39 / Chapter 3.1 --- SUBJECTS --- p.39 / Chapter 3.1.1 --- Subjects Source --- p.39 / Chapter 3.1.1.1 --- The Osteoporetic Fractures in Men & Women Study --- p.39 / Chapter 3.1.1.2 --- Carotid Atherosclerosis Study --- p.40 / Chapter 3.1.2 --- Follow up Situation --- p.40 / Chapter 3.1.3 --- Ethical Consideration --- p.41 / Chapter 3.2 --- INSTRUMENTATION --- p.41 / Chapter 3.2.1 --- Questionnaire --- p.41 / Chapter 3.2.1.1 --- Medical History --- p.41 / Chapter 3.2.1.2 --- Smoking Habit --- p.41 / Chapter 3.2.1.3 --- Cognitive & Mental Health --- p.42 / Chapter 3.2.1.3.1 --- Cantonese Mini Mental State Examination & Community Screening Instrument for Dementia --- p.42 / Chapter 3.2.1.3.2 --- Geriatric Depression Scale-15 --- p.42 / Chapter 3.2.1.4 --- Physical Activity Scale for Elderly --- p.43 / Chapter 3.2.1.5 --- Veteran Specific Activity Questionnaire --- p.44 / Chapter 3.2.2 --- Physical Measurements --- p.45 / Chapter 3.2.2.1 --- Height, Weight & Fat Percentage --- p.45 / Chapter 3.2.2.2 --- Waist, Hip Circumferences & WHR --- p.45 / Chapter 3.2.2.3 --- Blood Pressure --- p.45 / Chapter 3.2.2.4 --- Electrocardiograph --- p.46 / Chapter 3.2.3. --- Fitness Tests --- p.46 / Chapter 3.2.3.1 --- Cardiopuhuonary Exercise Test --- p.46 / Chapter 3.2.3.1.1 --- Exclusion Criteria --- p.46 / Chapter 3.2.3.1.2 --- PreTest Consideration --- p.47 / Chapter 3.2.3.1.3 --- Test Sequence & Measures --- p.48 / Chapter 3.2.3.1.4 --- Test Tennination Criteria --- p.49 / Chapter 3.2.3.2 --- Six Minutes Walk Test --- p.50 / Chapter 3.2.3.2.1 --- Six Minute Walk Test Sequence --- p.50 / Chapter 3.3 --- STATISTICS --- p.52 / Chapter 3.3.1 --- Description of Variables --- p.52 / Chapter 3.3.2 --- General Statistical Method --- p.53 / Chapter 3.3.3 --- Comparison between VO₂ peak & 6MWD Relationship with other Variables --- p.54 / Chapter 4 --- RESULTS --- p.56 / Chapter 4.1 --- RESPONSE & PARTICIPATION OF SUBJECTS --- p.56 / Chapter 4.2 --- DEMOGRAPHIC PROPERTIES --- p.63 / Chapter 4.2.1 --- Men --- p.63 / Chapter 4.2.2 --- Women --- p.68 / Chapter 4.2.3 --- Sample Representativeness --- p.71 / Chapter 4.2.4 --- Physical Measurements --- p.75 / Chapter 4.2.4.1 --- Peak Oxygen Uptake --- p.75 / Chapter 4.2.4.2 --- Correlations with Demographic Properties --- p.82 / Chapter 4.2.4.2.1 --- Mean VO₂ peak in Different WC Status --- p.83 / Chapter 4.2.4.2.2 --- Reference Range across Age Groups 98 --- p.84 / Chapter 4.2.4.2.3 --- Mllltivariat Analysis of VO₂ peak --- p.86 / Chapter 4.2.4.3 --- Six Minutes Walk Test --- p.88 / Chapter 4.2.4.3.1 --- UnivariateAnalysis with Demographic Properties --- p.90 / Chapter 4.2.4.3.2 --- Mean 6MWD by WC Status --- p.92 / Chapter 4.2.4.3.3 --- Reference Range by Age Groups --- p.92 / Chapter 4.2.4.3.4 --- Multivariate analysis of 6MWD --- p.94 / Chapter 4.2.5 --- Physical Activity Scale for Elderly --- p.96 / Chapter 4.2.5.1 --- Univariate Analysis with Demographic Properties --- p.97 / Chapter 4.2.5.2 --- Reference Range across Age Groups --- p.98 / Chapter 4.2.5.3 --- Reference Range of PASE --- p.99 / Chapter 4.2.5.4 --- Multivariate Analysis of PASE --- p.100 / Chapter 4.2.6 --- Cognitive & Mental Scores --- p.101 / Chapter 4.2.6.1 --- Community Screening Instrument for Dementia --- p.101 / Chapter 4.2.6.2 --- Mini-Mental State Examination --- p.102 / Chapter 4.2.6.3 --- Geriatric Depression Scale-15 --- p.103 / Chapter 4.3 --- CORRELATIONS OF CRF TESTS --- p.104 / Chapter 4.3.1.1 --- Relationship between 6MWD & VO₂ peak --- p.104 / Chapter 4.3.1.1.1 --- Pearson Correlation between 6MWD & VO₂ peak --- p.104 / Chapter 4.4 --- CRF & LIFESTYLES --- p.106 / Chapter 4.4.1 --- How PA correlates with CRF --- p.107 / Chapter 4.4.1.1 --- Relationship between PASE& VO₂ Peak --- p.107 / Chapter 4.4.1.1.1 --- Pearson Correlation between PASE & V02 peak. --- p.107 / Chapter 4.4.1.1.2 --- Mean VO₂ peak by Quartiles of PASE --- p.109 / Chapter 4.4.1.1.3 --- Mean PASE scores by VO₂ peak status --- p.110 / Chapter 4.4.1.1.4 --- Relationship between PASE leisure activities & VO₂ peak --- p.111 / Chapter 4.4.1.1.5 --- Time spent daily on PASE leisure activities by VO₂ peak status --- p.113 / Chapter 4.4.1.2 --- Relationship between PASE & 6MWD --- p.116 / Chapter 4.4.1.2.1 --- Mean 6MWD by Quartiles of PASE --- p.118 / Chapter 4.4.2 --- Relationship between CRF & Recommended PA Guidelines --- p.119 / Chapter 4.4.2.1 --- ACSM Guidelines --- p.119 / Chapter 4.4.2.2 --- HKDH Guidelines --- p.121 / Chapter 4.4.3 --- Does PASE in the Past Predict Present Maximal Oxygen Uptake --- p.122 / Chapter 4.4.3.1 --- Pearson Correlation between PASE at 3y before & Present VO₂ peak --- p.122 / Chapter 4.4.3.2 --- Pearson Correlation between PASE at 7y before & Present VO₂ peak --- p.124 / Chapter 4.5 --- CRF & HEALTH --- p.126 / Chapter 4.5.1 --- CRF & Physical Health --- p.126 / Chapter 4.5.1.1 --- Relationship between VO₂ peak & Medical History --- p.126 / Chapter 4.5.1.2 --- Relationship between 6MWD and medical history --- p.129 / Chapter 4.5.1.2.1 --- Mean 6MWD of men by chronic diseases --- p.130 / Chapter 4.5.1.2.2 --- Mean 6MWD of women by diabetes --- p.134 / Chapter 4.5.1.3 --- Comparison between VO₂ peak & 6MWD relationship with medical history --- p.135 / Chapter 4.5.2 --- CRF & Cognitive Function --- p.137 / Chapter 4.5.2.1 --- Relationship between MMSE& VO₂ Peak --- p.137 / Chapter 4.5.2.1.1 --- Pearson Correlation betweenMMSE & VO₂ peak --- p.137 / Chapter 4.5.2.1.2 --- Mean VO₂ peak by MMSE Status --- p.139 / Chapter 4.5.2.2 --- Relationship between MMSE & 6MWD --- p.141 / Chapter 4.5.2.2.1. --- Pearson Correlation between MMSE & 6MWD --- p.141 / Chapter 4.5.2.2.2 --- Mean 6MWD by MMSE category --- p.143 / Chapter 4.5.2.3 --- Relationship between CSID & VO₂ peak --- p.144 / Chapter 4.5.2.3.1 --- Pearson Correlation between CSID & VO₂ peak --- p.144 / Chapter 4.5.2.3.2 --- Mean VO₂ peak by CSID Classification --- p.146 / Chapter 4.5.2.4 --- Relationship between CSID & 6MWD --- p.147 / Chapter 4.5.2.4.1 --- Pearson Correlation between CSID & 6MWD --- p.147 / Chapter 4.5.2.4.2 --- Mean 6MWD by CSID Classification --- p.149 / Chapter 4.5.2.5 --- Comparison between VO₂ peak & 6MWD relationship with Cognitive Function --- p.150 / Chapter 4.5.2.5.1 --- Pearson Correlation between MMSE & 6MWD --- p.151 / Chapter 4.5.2.5.2 --- Mean 6MWD by MMSE category --- p.151 / Chapter 4.5.2.5.3 --- Pearson Correlation between CSID & 6MWD --- p.152 / Chapter 4.5.2.5.4 --- Mean 6MWD by CSID Classification --- p.153 / Chapter 4.5.3 --- CRF & Depression --- p.154 / Chapter 4.5.3.1 --- Relationship between GDS & VO₂ peak --- p.154 / Chapter 4.5.3.1.1 --- Speannan Correlation between GDS & VO₂ peak --- p.154 / Chapter 4.5.3.1.2 --- Logistic Regression Analysis --- p.154 / Chapter 4.5.3.2. --- Relationship between GDS & 6MWD --- p.156 / Chapter 4.5.3.2.1. --- Spearman Correlation between GDS & 6MWD --- p.156 / Chapter 4.5.3.2.2. --- Mean 6MWD by depression status. --- p.156 / Chapter 4.5.3.3. --- Comparison between VO₂ peak & 6MWD relationship with GDS --- p.158 / Chapter 4.5.3.3.1. --- Pears on Correlation between GDS & 6MWD --- p.158 / Chapter 4.5.3.3.2. --- Mean 6MWD by depression status --- p.158 / Chapter 5 --- DISCUSSION --- p.160 / Chapter 5.1 --- INTERPRETATION OF RESULTS --- p.160 / Chapter 5.1.1 --- Physical Fitness --- p.160 / Chapter 5.1.1.1 --- Cardiorespiratory Fitness --- p.160 / Chapter 5.1.1.1.1 --- Mode for CPET --- p.160 / Chapter 5.1.1.1.2 --- Criteria for VO₂ peak --- p.161 / Chapter 5.1.1.1.3 --- Reference Range of VO₂ peak among HK elderly --- p.164 / Chapter 5.1.1.1.4 --- Age Related Decline in VO₂ peak --- p.169 / Chapter 5.1.1.1.5 --- Repeatability of Measurements using FitMate[superscript TM] Pro --- p.170 / Chapter 5.1.1.1.6 --- Smoking --- p.170 / Chapter 5.1.1.2 --- Six Minutes Walk Test --- p.171 / Chapter 5.1.1.2.1 --- Reference Range of 6MWD among HK Elderly --- p.172 / Chapter 5.1.2 --- How Estimated PA Level Correlated to CRF --- p.173 / Chapter 5.1.2.1 --- CRF &PA --- p.174 / Chapter 5.1.2.2 --- CRF & Leisure Activities --- p.176 / Chapter 5.1.3 --- Elderly CRF of those who met Recommended PA Guidelines --- p.177 / Chapter 5.1.4 --- Could Past PA Participation Predict Present CRF --- p.180 / Chapter 5.1.5 --- Health --- p.181 / Chapter 5.1.5.1 --- Physical Health --- p.181 / Chapter 5.1.5.2 --- Dementia --- p.185 / Chapter 5.1.5.2.1 --- Community Screening Instrument for Dementia --- p.186 / Chapter 5.1.5.2.2 --- Mini-Mental State Examination --- p.188 / Chapter 5.1.5.2.3 --- Possible Mechanisms of Cognitive Decline & Benefits ofPA --- p.191 / Chapter 5.1.5.3. --- Depression --- p.193 / Chapter 5.1.5.3.1 --- Possible Mechanism of Depression & Benefits of PA --- p.197 / Chapter 5.1.6 --- 6MWD, a Better Physical Fitness Surrogate than VO₂ peak --- p.200 / Chapter 5.2 --- LIMITATIONS AND STRENGTH --- p.205 / Chapter 5.3 --- FUTURE STUDIES --- p.210 / Chapter 6 --- CONCLUSION --- p.211 / Chapter 7 --- REFERENCES --- p.215 / APPENDIX --- p.238

Page generated in 0.0956 seconds