Association of Anthropometric Indices of Obesity with Hypertension in Chinese Elderly: An Analysis of Age and Gender Differences

Wang, Qian; Xu, Lingzhong; Li, Jiajia; Sun, Long; Qin, Wenzhe; Ding, Gan; Zhu, Jing; Zhang, Jiao; Yu, Zhongqi; Xie, Su

doi:10.3390/ijerph15040801

Cited by 22 publications

(34 citation statements)

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“…This was a cross-sectional study based on data from 2017 the Shandong Elderly Family Health Service Survey. The detailed sampling and quality controlling regulations have been published elsewhere [ 17 ]. This survey was carried out in Weihai, Weifang and Heze in August 2017.…”

Section: Methodsmentioning

confidence: 99%

Association between Overweight, Obesity and the Prevalence of Multimorbidity among the Elderly: Evidence from a Cross-Sectional Analysis in Shandong, China

Zhou

et al. 2020

IJERPH

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(1) Background: Multimorbidity, defined as the occurrence of two or more chronic diseases, is a global public health problem which has a significant negative impact on individuals, families and the society. The aim of this study was to evaluate the association between overweight, obesity and the prevalence of multimorbidity among male and female older adults; (2) Methods: Cross-sectional data of the 7070 participants from China, aged 60 years and above included in 2017 the Shandong Elderly Family Health Service Survey were analyzed. Multivariate logistic regression analysis was used to examine the relationship between overweight, obesity and the prevalence of multimorbidity in males and females; (3) Results: Among the 7070 participants, of which 40.25% were males and 59.75% were females, the average age of all participants was (69.81 ± 6.45) years old. The prevalence of multimorbidity in older adults was 34.71%, and the overweight and obesity rates were 39.25% and 16.89%. Among the male elderly, the likelihood of multimorbidity was more than two times higher among the obese than the normal BMI population (OR: 2.14; 95%CI: 1.63–2.82). A less strong association was found in the overweight male older population (OR: 1.43; 95%CI: 1.18–1.74). In the females, compared with individuals with normal BMI, the risks for incident multimorbidity were high in the overweight and obese groups, with odds ratios of 1.42 (95%CI: 1.21–1.65) and 1.81 (95%CI: 1.51–2.17), respectively. (4) Conclusions: In this study, overweight and obesity had the strongest association with the prevalence of multimorbidity among Chinese older adults, and the associations were different between the male and female elderly. The prevalence of multimorbidity might be effectively prevented by controlling body mass index. Encouraging the elderly to eat the recommended amount of vegetables and fruits, walk at least 30 min a day and have enough sleep to maintain a healthy weight.

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Section: Methodsmentioning

confidence: 99%

Association between Overweight, Obesity and the Prevalence of Multimorbidity among the Elderly: Evidence from a Cross-Sectional Analysis in Shandong, China

Zhou

et al. 2020

IJERPH

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“…Finally, 50 households aged 60 and above were randomly selected in each village (residence). Details of the study design and data collection methods are described elsewhere [24,25]. After preinvestigation and strict sampling, 7088 elderly people were included in the study, and 18 of them were excluded because they had not completed all of the interviews.…”

Section: Study Design and Data Collectionmentioning

confidence: 99%

“…Height without shoes was measured in centimeters (accuracy 1.0 cm), and weight in light clothing was measured in kilograms (accuracy 0.01 kg). Body Mass Index (BMI) was calculated as weight divided by height squared (kg/m 2 ) [24].…”

Section: Socio-demographic Characteristicsmentioning

confidence: 99%

The Relationship between Self-Rated Economic Status and Falls among the Elderly in Shandong Province, China

Hong

Zhou

et al. 2020

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(1) Background: Older people are more vulnerable and likely to have falls and the consequences of these falls place a heavy burden on individuals, families and society. Many factors directly or indirectly affect the prevalence of falls. The aims of this study were to understand the prevalence and risk factors of falls among the elderly in Shandong, China; the relationship between economic level and falls was also preliminary explored. (2) Methods: Using a multi-stage stratified sampling method, 7070 elderly people aged 60 and over were selected in Shandong Province, China. General characteristics and a self-rated economic status were collected through face to face interviews. Chi-square tests, rank sum tests and two logistic regression models were performed as the main statistical methods. (3) Results: 8.59% of participants reported that they had experienced at least one fall in the past half year. There was a significant difference in experienced falls regarding gender, residence, marital status, educational level, smoking, drinking, hypertension, diabetes, coronary disease, and self-reported hearing. The worse the self-rated economic status, the higher the risk of falling, (poor and worried about livelihood, OR = 3.60, 95%; CI = 1.76–7.35). (4) Conclusions: Women, hypertension, diabetes and self-reported hearing loss were identified as the risk factors of falls in the elderly. The difference of economic level affects the falls of the elderly in rural and urban areas. More fall prevention measures should be provided for the elderly in poverty.

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“…As previously explained, studies conducted with populations of different age groups have supported the hypothesis of a close association between central obesity and the development of CVD, especially the hypertension (17,19,20). The mechanisms involved are complex and still poorly understood, generating hypotheses such as the capacity of the visceral adipose tissue to secrete Renin-Angiotensin-Aldosterone System (RAAS) elements, and adipokines able to regulate blood pressure (11,21,22).…”

Section: Discussionmentioning

confidence: 89%

Different anthropometric indicators of central obesity can predict hypertension in older adults

et al. 2019

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Objective: to investigate the association between hypertension and anthropometric indicators of central obesity, obtained from two anatomical sites in older adults.Methodology: cross-sectional study that involved 145 older adults, from whom socioeconomic and demographic data and anthropometric indicators of central obesity (waist circumference [CC] and abdominal circumference [CA]) were obtained, which were considered independent variables. A logistic regression model was used to analyze associations and for the discriminatory power of the cut-off points of the hypertension anthropometric indicators, receiver operating characteristic (ROC) curve was performed. Comparisons were made between ROC curves, with the aim of identifying significant differences in the discriminatory power of the anthropometric indicators studied.Results: out of the 145 individuals, 79 were females (54%) and 66 males (46%). Results showed a high prevalence of arterial hypertension in men (69,7%) and women (73,4%). Both CC and CA were significantly associated with hypertension in both genders. Parameters of the ROC curve revealed that both anthropometric indicators of central obesity exhibit good discriminatory power for hypertension in the studied population. The cut-off point for CC was > 83,2 cm for men and > 82,6 cm for women; while for CA it was > 85,1 cm and > 85,4 cm for men and women, respectively.Conclusion: CA and CC are significantly associated with hypertension in both genders, and there is no superiority between them to predict hypertension in the elderly population.

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Association of Anthropometric Indices of Obesity with Hypertension in Chinese Elderly: An Analysis of Age and Gender Differences

Cited by 22 publications

References 47 publications

Association between Overweight, Obesity and the Prevalence of Multimorbidity among the Elderly: Evidence from a Cross-Sectional Analysis in Shandong, China

Association between Overweight, Obesity and the Prevalence of Multimorbidity among the Elderly: Evidence from a Cross-Sectional Analysis in Shandong, China

The Relationship between Self-Rated Economic Status and Falls among the Elderly in Shandong Province, China

Different anthropometric indicators of central obesity can predict hypertension in older adults

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