Changes in diet and lifestyle and long-term weight gain
…gain weight. For every hour a day of television watching, individuals were likely to gain 0.31 pounds. Those who quit smoking in the previous period gained an average of 5.17…
…gain weight. For every hour a day of television watching, individuals were likely to gain 0.31 pounds. Those who quit smoking in the previous period gained an average of 5.17…
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…gender, survival trends and the impact of personal behaviors (smoking, physical activity) and the environment on cancer rates. The report also includes statistics on U.S. cancer diagnoses and deaths from…
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…The researchers also measured the number of weekly hours spent with gaming and non-gaming online activities, as well each participant’s body mass index (BMI) and drinking and smoking behaviors. Roughly…
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…disorder, regular smoking, and slow recovery from illness.” Bullies were at high risk for later psychiatric problems, regular smoking, and risky or illegal behaviors, including felonies, substance use and self-reported…
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…science actually is. For example, we now know with a reasonable degree of certainty that smoking increases the likelihood of cancer, leaving policymakers to debate whether and how government should…
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…Heavy smoking was estimated to explain 78% of the life expectancy gap for women and 41% for men in the U.S. and other high-income countries: “The current cohort of older…
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…vs. 40% proficient at other schools). Comparing the two groups of students, there was no difference in the likelihood of smoking cigarettes, drinking alcohol or smoking marijuana during the previous…
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…out, for example, that Latina women have, on average, low rates of smoking, and the social norm of not smoking might then influence the behaviors of native-born peers. “These findings…
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…covered by Medicaid or military insurance. Adjustments were made for factors such as exercise, weight, smoking, and alcohol consumption. The study determines that: 45,000 deaths annually in the United States…
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…to make money. Self-identified smokers had a higher probability of being classified as problem or pathological gamblers than those who reported not smoking. Pathological gambling did not have a significantly…
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