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Li X, Wang Y, Zhang Y, Ma Y, Pan F, Laslett L, Cai G. Longitudinal associations of body mass index and abdominal circumference with back pain among community-dwelling adults: data from the Osteoarthritis Initiative. Spine J 2023; 23:1007-1014. [PMID: 37030576 DOI: 10.1016/j.spinee.2023.03.014] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/21/2022] [Revised: 02/20/2023] [Accepted: 03/22/2023] [Indexed: 04/10/2023]
Abstract
BACKGROUND CONTEXT Back pain is the most common musculoskeletal problem in both developed and developing countries. The prevalence and burden of back pain increases with age, and the management of back pain becomes increasingly important in the context of global aging. There is increasing evidence that obesity is a modifiable risk factor for musculoskeletal pain in different locations. Understanding the role of obesity in back pain holds great potential for improving understanding of the mechanisms of back pain and for developing new preventive and therapeutic approaches. PURPOSE To evaluate the role of weight, body mass index (BMI) and abdominal circumference (AC) in risk of back pain over 96 months. DESIGN Prospective cohort study. PATIENT SAMPLE The sample was from 4,793 adults in the Osteoarthritis Initiative (OAI) database who had or were at increased risk for knee Osteoarthritis. OUTCOME MEASURES Outcome variables included the presence, severity, and frequency of back pain, using the past 30 days as the time frame. METHODS Longitudinal analysis of data from 4,793 participants enrolled in the Osteoarthritis Initiative, assessed every 12 or 24 months for weight, BMI (kg/m2), AC (cm), and presence, severity (none, mild, moderate, severe), and frequency (none, rarely, sometimes, often, always) of back pain. BMI and AC were decomposed into between-person and with-person components. Data analyses were performed using mixed-effects logistic (for presence of back pain) or ordered logistic regression (for severity and frequency of back pain) models. RESULTS Back pain was reported in 58% of participants at baseline; 70% of those without back pain had incident back pain over 96 months. Both between-person (average value across a participant's all measurements) and within-person (deviations from the participant's average) effects of weight and BMI increased risk of presence, severity, and frequency of back pain (Odds radios (OR) per kg/m2: 1.010-1.046, p<.05) in females but not males, with statistically significant weight*sex and BMI*sex interactions. Similar findings were observed for between-person effects of AC on back pain, and the within-person effect of AC was only associated with back pain severity (OR per cm: 1.009, 95% confidence interval 1.002-1.017, p=.019) in females. CONCLUSIONS Greater average weight and BMI and increases in them increased odds of presence, severity, and frequency of back pain over 96 months in middle aged and older women but not men. Only average AC increased odds of back pain over time, in women. These findings suggest that preventing obesity and slowing weight gain is important for the management of back pain.
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Affiliation(s)
- Xiaoxi Li
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, 81 Meishan Road, Hefei, 230032, Anhui, China; Inflammation and Immune Mediated Diseases Laboratory of Anhui Province, 81 Meishan Road, Hefei, 230032, Anhui, China
| | - Yining Wang
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, 81 Meishan Road, Hefei, 230032, Anhui, China; Inflammation and Immune Mediated Diseases Laboratory of Anhui Province, 81 Meishan Road, Hefei, 230032, Anhui, China
| | - Youyou Zhang
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, 81 Meishan Road, Hefei, 230032, Anhui, China; Inflammation and Immune Mediated Diseases Laboratory of Anhui Province, 81 Meishan Road, Hefei, 230032, Anhui, China
| | - Yubo Ma
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, 81 Meishan Road, Hefei, 230032, Anhui, China; Inflammation and Immune Mediated Diseases Laboratory of Anhui Province, 81 Meishan Road, Hefei, 230032, Anhui, China
| | - Faming Pan
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, 81 Meishan Road, Hefei, 230032, Anhui, China; Inflammation and Immune Mediated Diseases Laboratory of Anhui Province, 81 Meishan Road, Hefei, 230032, Anhui, China
| | - Laura Laslett
- Menzies Institute for Medical Research, University of Tasmania, 17 Liverpool Street, Hobart, 7000, Tasmania, Australia
| | - Guoqi Cai
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, 81 Meishan Road, Hefei, 230032, Anhui, China; Inflammation and Immune Mediated Diseases Laboratory of Anhui Province, 81 Meishan Road, Hefei, 230032, Anhui, China.
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Yuan Y, Li J, Fu P, Jing Z, Wang Y, Zhou C. Association between physical activity and falls among older adults in rural China: are there gender and age related differences? BMC Public Health 2022; 22:356. [PMID: 35183149 PMCID: PMC8858519 DOI: 10.1186/s12889-022-12773-1] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/26/2021] [Accepted: 02/15/2022] [Indexed: 12/25/2022] Open
Abstract
BACKGROUND The relationship between physical activity (PA) and falls among older adults is inconsistent, and little is known about the gender-specific association between falls and PA. Moreover, age may modify this relationship. This study aimed to test the association between PA and falls and to investigate the gender and age differences in the association among rural older adults. METHODS This cross-sectional data were derived from the baseline survey of Shandong Rural Elderly Health Cohort (SREHC). In total, 3,242 rural older adults aged 60 years and above were included in the analysis. PA was measured by the International Physical Activity Questionnaire Short Form (IPAQ-S). PA levels were classified as low, moderate, elevated and high according to quartiles. Volume of moderate-to-vigorous physical activity (MVPA) was categorized into low, moderate, elevated, and high level based on global recommendations. Information on falls was determined from in-person interviews. Falling was defined to participants as ending up on the floor or ground because they were unable to stop themselves. Logistic regression analysis was employed to explore the association between falls and PA. RESULTS Of 3,242 rural older adults, the incidence of falls was 13.1%. In older adults, high levels of PA [odds ratio (OR) = 0.65, 95% confidence interval (CI): 0.47-0.90] or MVPA (OR = 0.68, 95% CI: 0.50-0.94) were related to falls. Moderate (OR = 4.84, 95% CI: 1.68-13.94) or high (OR = 0.54, 95% CI: 0.30-0.99) levels of MVPA were associated with falls in older men. But elevated levels of PA were associated with falls (OR = 0.60, 95% CI: 0.42-0.87) in older women. Among older people younger than 75 years, elevated (OR = 0.54, 95% CI: 0.37-0.79) or high (OR = 0.68, 95% CI: 0.48-0.98) levels of PA were associated with falls. CONCLUSIONS Among Chinese rural older adults, PA and MVPA are associated with falls, and there are gender and age differences. To prevent falls, measures need to account for individuals' gender and age to encourage rural older adults to participate more actively in PA. We will conduct longitudinal studies to clarify the causal relationship between PA and fall.
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Affiliation(s)
- Yemin Yuan
- Centre for Health Management and Policy Research, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan, 250012, China
- Department of Epidemiology, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan, 250012, China
| | - Jie Li
- Centre for Health Management and Policy Research, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan, 250012, China
| | - Peipei Fu
- Centre for Health Management and Policy Research, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan, 250012, China
| | - Zhengyue Jing
- School of Health Policy and Management, Nanjing Medical University, Nanjing, 211166, China
| | - Yi Wang
- Centre for Health Management and Policy Research, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan, 250012, China
| | - Chengchao Zhou
- Centre for Health Management and Policy Research, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan, 250012, China.
- NHC Key Laboratory of Health Economics and Policy Research, Shandong University, Jinan, 250012, China.
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Cigarette smoking and knee osteoarthritis in the elderly: Data from the Korean National Health and Nutritional Examination Survey. Exp Gerontol 2020; 133:110873. [PMID: 32044381 DOI: 10.1016/j.exger.2020.110873] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/18/2019] [Revised: 01/22/2020] [Accepted: 02/06/2020] [Indexed: 11/23/2022]
Abstract
BACKGROUND The relationship between smoking and osteoarthritis (OA) has not been investigated in a large-scale study. The aim of this study was to examine the relationship between smoking and knee OA in the elderly. METHODS This study included 5117 subjects aged >60 years who responded to questionnaires on their history of smoking and knee OA diagnosed by a physician taken from the Korean National Health and Nutritional Examination Survey (KNHANES-VI) 2013-2015. We classified all 5117 subjects into 2 groups (the OA group and non-OA group) and compared the demographics and characteristics between the 2 groups. A multivariate logistic regression analysis was conducted to investigate the possible association between knee OA and smoking. RESULTS The prevalence of current smoking in the OA group (5.1%) was significantly lower than in the non-OA group (14.6%; p < 0.001). Furthermore, the proportion of moderate smokers who smoked >10 cigarettes per day or heavy smokers who smoked >20 cigarettes per day was significantly higher in the non-OA group. In the multivariate analysis, current smoking history was a preventative factor for the prevalence of OA in a multivariate model that included age, sex, body mass index, waist circumference (OR: 0.752, 95% CI: 0.571-0.989, p = 0.042). CONCLUSIONS This large-scale national study highlights an inverse association between smoking and the prevalence of knee OA in the general Korean elder adult population, primarily in males. Further investigation of this relationship between smoking and knee OA is needed to determine smoking's specific mechanism of protection against knee OA.
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