Smoking is a strong risk factor for non-vertebral fractures in women with diabetes: the Tromsø Study

Jørgensen, Lone; Joakimsen, Ragnar Martin; Ahmed, Luai A.; Jacobsen, Bjarne K.

doi:10.1007/s00198-010-1340-0

Cited by 16 publications

(9 citation statements)

References 30 publications

(32 reference statements)

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The majority of older people in China are retired, so they have more time to participate in physical activity and they lack work stress. Smoking, drinking alcohol, and eating vegetables and fruit on a daily basis were not significantly associated with diabetes, which is not in agreement with the results of some previous studies [15,37–39].…”

Section: Discussioncontrasting

confidence: 96%

Comparison of three data mining models for predicting diabetes or prediabetes by risk factors

Meng¹,

Huang²,

Rao

et al. 2012

The Kaohsiung J of Med Scie

237

136

View full text Add to dashboard Cite

The purpose of this study was to compare the performance of logistic regression, artificial neural networks (ANNs) and decision tree models for predicting diabetes or prediabetes using common risk factors. Participants came from two communities in Guangzhou, China; 735 patients confirmed to have diabetes or prediabetes and 752 normal controls were recruited. A standard questionnaire was administered to obtain information on demographic characteristics, family diabetes history, anthropometric measurements and lifestyle risk factors. Then we developed three predictive models using 12 input variables and one output variable from the questionnaire information; we evaluated the three models in terms of their accuracy, sensitivity and specificity. The logistic regression model achieved a classification accuracy of 76.13% with a sensitivity of 79.59% and a specificity of 72.74%. The ANN model reached a classification accuracy of 73.23% with a sensitivity of 82.18% and a specificity of 64.49%; and the decision tree (C5.0) achieved a classification accuracy of 77.87% with a sensitivity of 80.68% and specificity of 75.13%. The decision tree model (C5.0) had the best classification accuracy, followed by the logistic regression model, and the ANN gave the lowest accuracy.

show abstract

Section: Discussioncontrasting

confidence: 96%

Comparison of three data mining models for predicting diabetes or prediabetes by risk factors

Meng¹,

Huang²,

Rao

et al. 2012

The Kaohsiung J of Med Scie

237

136

View full text Add to dashboard Cite

show abstract

“…The overall characteristics of these studies were as follows: 12 studies were conducted in both sexes: 2 studies in females only [ 61 , 71 ] and 2 studies in males only [ 62 , 70 ]; 12 studies were cohort studies; 3 obtained data or samples from large-scale longitudinal studies; all studies used self-report to assess smoking habits with the exception of one study that assessed levels of cotinine [ 67 ]. Table 3 provides comprehensive details on studies which examined the prevalence of fracture in smokers, the association between smoking and fracture risk, fracture healing, the biological mechanism of fracture in smokers, and the interaction of smoking and other fracture risks.…”

Section: Resultsmentioning

confidence: 99%

The Effect of Tobacco Smoking on Musculoskeletal Health: A Systematic Review

Al-Bashaireh

Haddad

Weaver

et al. 2018

Journal of Environmental and Public Health

View full text Add to dashboard Cite

This systematic review explored associations between smoking and health outcomes involving the musculoskeletal system. AMSTAR criteria were followed. A comprehensive search of PubMed, Web of Science, and Science Direct returned 243 articles meeting inclusion criteria. A majority of studies found smoking has negative effects on the musculoskeletal system. In research on bones, smoking was associated with lower BMD, increased fracture risk, periodontitis, alveolar bone loss, and dental implant failure. In research on joints, smoking was associated with increased joint disease activity, poor functional outcomes, and poor therapeutic response. There was also evidence of adverse effects on muscles, tendons, cartilage, and ligaments. There were few studies on the musculoskeletal health outcomes of secondhand smoke, smoking cessation, or other modes of smoking, such as waterpipes or electronic cigarettes. This review found evidence that suggests tobacco smoking has negative effects on the health outcomes of the musculoskeletal system. There is a need for further research to understand mechanisms of action for the effects of smoking on the musculoskeletal system and to increase awareness of healthcare providers and community members of the adverse effects of smoking on the musculoskeletal system.

show abstract

“…After assessing the full-text of the 21 potentially relevant articles, 10 publications met the inclusion criteria [5,[13][14][15][16][17][18][19][20][21]. The main reasons for exclusion were as follows: one paper was duplicate report of another paper from the same study so the older one was excluded [5,30]; one study was excluded because data reported as odds ratios (OR) [22], and the combination of OR and RR can result in misinterpretation of results [31]; two articles were excluded because association between cigarette smoking and hip fracture was not presented [32,33]; five articles were excluded because exposure or endpoint was not relevant [12,[34][35][36][37]; two articles Table 2 Characteristics of studies included in the meta-analysis.…”

Section: Literature Searchmentioning

confidence: 99%

Cigarette smoking and risk of hip fracture in women: A meta-analysis of prospective cohort studies

Shen

Zhao

et al. 2015

Injury

View full text Add to dashboard Cite

Smoking is a strong risk factor for non-vertebral fractures in women with diabetes: the Tromsø Study

Abstract: We conclude that smoking is strongly related to fracture risk in postmenopausal women with self-reported diabetes.

Cited by 16 publications

References 30 publications

Comparison of three data mining models for predicting diabetes or prediabetes by risk factors

Comparison of three data mining models for predicting diabetes or prediabetes by risk factors

The Effect of Tobacco Smoking on Musculoskeletal Health: A Systematic Review

Cigarette smoking and risk of hip fracture in women: A meta-analysis of prospective cohort studies

Contact Info

Product

Resources

About