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Phababpha S, Sri-amad R, Huipao N, Sriwannawit P, Roengrit T. Daily Step Count and its Association with Arterial Stiffness Parameters in Older Adults. Ann Geriatr Med Res 2024; 28:101-109. [PMID: 38350695 PMCID: PMC10982445 DOI: 10.4235/agmr.23.0161] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/26/2023] [Revised: 02/03/2024] [Accepted: 02/07/2024] [Indexed: 02/15/2024] Open
Abstract
BACKGROUND Daily step count is a simple parameter for assessing physical activity. However, the potential advantages of setting daily step goals below the traditional 10,000-step threshold remain unclear. The cross-sectional study aimed to determine the relationship between daily step counts and arterial stiffness outcomes in older individuals. METHODS Forty-eight older adults recorded their daily step counts over a 7-day period using a pedometer. The participants were classified into two groups based on their daily step count: Group 1 (n = 28) consisted of individuals taking fewer than 5000 steps per day, while Group 2 (n = 20) included those who recorded 5,000 to 9,999 steps per day. To evaluate arterial stiffness parameters, we measured pulse wave velocity (PWV), cardio-ankle vascular index (CAVI), and ankle-brachial index (ABI). Hemodynamic and biochemical parameters were also determined. RESULTS Participants who accumulated fewer daily steps exhibited higher PWV compared to each group. An inverse association was observed between average steps per day and PWV. However, no significant differences were found between daily step counts and CAVI or ABI. CONCLUSION Conclusions: As individuals increase their daily step count, they may experience a reduction in arterial stiffness. Consequently, the assessment of daily steps has benefits for enhancing vascular health and overall well-being among older individuals.
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Affiliation(s)
- Suphawadee Phababpha
- Chulabhorn International College of Medicine, Thammasat University, Pathum Thani, Thailand
| | - Ruchada Sri-amad
- Department of Physical Therapy, Faculty of Allied Health Sciences, Chulalongkorn University, Bangkok, Thailand
| | - Nawiya Huipao
- Division of Health and Applied Sciences, Faculty of Science, Prince of Songkla University, Songkhla, Thailand
| | - Porraporn Sriwannawit
- Department of Physical Therapy, Faculty of Medicine, Prince of Songkla University, Songkhla, Thailand
| | - Thapanee Roengrit
- Department of Basic Medical Science, Faculty of Medicine Vajira Hospital, Navamindradhiraj University, Bangkok, Thailand
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Oo MM, Tassanakijpanich N, Phyu MH, Safira N, Kandel S, Chumchuen K, Zhang LM, Kyu HA, Sriwannawit P, Bilmumad B, Cao L, Guo Y, Sukmanee J, Cuong VM, Chongsuvivatwong V, McNeil EB. Coverage of tuberculosis and diabetes mellitus screening among household contacts of tuberculosis patients: a household-based cross-sectional survey from Southern Thailand. BMC Public Health 2020; 20:957. [PMID: 32552712 PMCID: PMC7301490 DOI: 10.1186/s12889-020-09090-w] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/25/2020] [Accepted: 06/11/2020] [Indexed: 01/07/2023] Open
Abstract
Background The comorbid presence of tuberculosis and diabetes mellitus has become an increasingly important public health threat to the prevention and control of both diseases. Thus, household contact investigation may serve a dual purpose of screening for both tuberculosis and diabetes mellitus among household contacts. We therefore aimed to evaluate the coverage of screening for tuberculosis and diabetes mellitus among household contacts of tuberculosis index cases and to determine predictors of tuberculosis screening. Methods A household-based survey was conducted in February 2019 in Muang district of Phatthalung Province, Thailand where 95 index tuberculosis patients were newly diagnosed with pulmonary or pleural tuberculosis between October 2017 and September 2018. Household contacts of the index patients were interviewed using a structured questionnaire to ascertain their past-year history of tuberculosis screening and, if appropriate, diabetes mellitus screening. For children, the household head or an adult household member was interviewed as a proxy. Coverage of tuberculosis screening at the household level was regarded as households having all contacts screened for tuberculosis. Logistic regression and mixed-effects logistic regression models were used to determine predictors of tuberculosis screening at the household and individual levels, respectively, with the strengths of association presented as adjusted odds ratios (AOR) and 95% confidence intervals (CI). Results Of 61 responding households (64%), complete coverage of tuberculosis screening at the household level was 34.4% and among the 174 household contacts was 46.6%. About 20% of contacts did not receive any recommendation for tuberculosis screening. Households were more likely to have all members screened for tuberculosis if they were advised to be screened by a healthcare professional rather than someone else. At the individual level, contacts aged ≥35 years (AOR: 30.6, 95% CI: 2.0–466.0), being an employee (AOR: 0.1, 95% CI: 0.0–0.8) and those who had lived more than 5 years in the same household (AOR: 0.1, 95% CI: 0.0–0.8) were independent predictors for tuberculosis screening. Coverage of diabetes mellitus screening was 80.6% with lack of awareness being the main reason for not being screened. Conclusions Compared to diabetes screening, the coverage of tuberculosis screening was low. A better strategy to improve coverage of tuberculosis contact screening is needed.
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Affiliation(s)
- Myo Minn Oo
- Epidemiology Unit, Faculty of Medicine, Prince of Songkla University, Hat Yai, Thailand
| | | | - Moe Hnin Phyu
- Epidemiology Unit, Faculty of Medicine, Prince of Songkla University, Hat Yai, Thailand.,National TB Programme, Department of Public Health, Nay Pi Taw, Myanmar
| | - Nanda Safira
- Epidemiology Unit, Faculty of Medicine, Prince of Songkla University, Hat Yai, Thailand
| | - Shashi Kandel
- Epidemiology Unit, Faculty of Medicine, Prince of Songkla University, Hat Yai, Thailand
| | - Kemmapon Chumchuen
- Epidemiology Unit, Faculty of Medicine, Prince of Songkla University, Hat Yai, Thailand
| | - Li Mei Zhang
- Epidemiology Unit, Faculty of Medicine, Prince of Songkla University, Hat Yai, Thailand.,People's Hospital of Chuxiong Prefecture, Yunnan, China
| | - Hnin Aye Kyu
- Epidemiology Unit, Faculty of Medicine, Prince of Songkla University, Hat Yai, Thailand
| | - Porraporn Sriwannawit
- Epidemiology Unit, Faculty of Medicine, Prince of Songkla University, Hat Yai, Thailand
| | - Bintinee Bilmumad
- Epidemiology Unit, Faculty of Medicine, Prince of Songkla University, Hat Yai, Thailand
| | - Li Cao
- Epidemiology Unit, Faculty of Medicine, Prince of Songkla University, Hat Yai, Thailand
| | - Yingwu Guo
- Epidemiology Unit, Faculty of Medicine, Prince of Songkla University, Hat Yai, Thailand
| | - Jarawee Sukmanee
- Epidemiology Unit, Faculty of Medicine, Prince of Songkla University, Hat Yai, Thailand
| | - Vu Manh Cuong
- Epidemiology Unit, Faculty of Medicine, Prince of Songkla University, Hat Yai, Thailand
| | | | - Edward B McNeil
- Epidemiology Unit, Faculty of Medicine, Prince of Songkla University, Hat Yai, Thailand.
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