What is the clinical evidence from this study?

Study design: Cross-Sectional. Population: Modifiable lifestyle risk factors (n=2016). Intervention: Male sex vs. Female sex. Primary outcome: Unhealthy lifestyle cluster membership (UH vs H) (RRR 11.41, 95% CI 8.49-15.34, p=<0.001).

May 15, 2011International Journal of Behavioral Nutrition and Physical ActivityOpen Access

Socio-demographic association of multiple modifiable lifestyle risk factors and their clustering in a representative urban population of adults: a cross-sectional study in Hangzhou, China

Q: What are the key findings of this study?

Male sex was strongly associated with an unhealthy lifestyle cluster, with men being over 11 times more likely than women to have a high-risk profile (RRR 11.41).

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Key result

Male sex was strongly associated with an unhealthy lifestyle cluster, with men being over 11 times more likely than women to have a high-risk profile (RRR 11.41).

Population

2,016 adults living in three districts of Hangzhou, China, who completed a simple random sampling survey.

Design

Cross-sectional

Authors

JLJun LvPreventive Cardiology QLQingmin LiuUniversity of Missouri YRYanjun RenAgriculture and Forestry University

Discussion

Member takes

Implication

May guide targeted prevention in middle-aged Chinese men; hypothesis-generating pending longitudinal confirmation.

Study Design

Type

Cross-Sectional (n=2,016)

Structured PICO

Population

2,016 urban adults aged 18-64 years in Hangzhou, China, assessed for lifestyle risk factors including tobacco use, physical activity, diet, and out-of-home eating.

Outcome

Health-related lifestyle clusters based on tobacco use, physical activity, fruit and vegetable consumption, and out-of-home eating, and their association with socio-demographic factors.patient reported

Main Result

Relative Risk: 11.41 (95% CI 8.49–15.34)

p-value: p=<0.001

In an urban Chinese population, middle-aged men with lower education levels are most likely to exhibit a high-risk cluster of unhealthy lifestyle behaviors, highlighting a key demographic for targeted chronic disease prevention.

Limitations

Cross-sectional design cannot distinguish between age, cohort, and period effects.
Dietary assessment was limited and did not quantitatively measure energy, fat, sugar, or salt intake.
Self-reported lifestyle risk factors are subject to information bias, such as underestimating smoking and overestimating physical activity.
Asset index may not perfectly correlate with current income or expenditure.

Cite This Study

Lv et al. (2011) conducted a cross-sectional in Modifiable lifestyle risk factors (n=2,016). Male sex vs. Female sex was evaluated on Unhealthy lifestyle cluster membership (UH vs H) (RRR 11.41, 95% CI 8.49-15.34, p=<0.001). Male sex was strongly associated with an unhealthy lifestyle cluster, with men being over 11 times more likely than women to have a high-risk profile (RRR 11.41).

synapsesocial.com/papers/6a97e9ecce42e14121e1805c https://doi.org/10.1186/1479-5868-8-40

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Socio-demographic association of multiple modifiable lifestyle risk factors and their clustering in a representative urban population of adults: a cross-sectional study in Hangzhou, China

Discussion

Member takes

Implication

Study Design

Structured PICO

Main Result

Limitations

Cite This Study

Socio-demographic association of multiple modifiable lifestyle risk factors and their clustering in a representative urban population of adults: a cross-sectional study in Hangzhou, China

Discussion

Member takes

Implication

Study Design

Structured PICO

Main Result

Limitations

Cite This Study

Also Consider

Also Consider