| Literature DB >> 25946006 |
Mohammad Ahraz Hussain1, Sandal Noorani1, Amna Khan1, Hafsa Asad1, Anam Rehan1, Aamir Kazi1, Mirza Zain Baig1, Arish Noor1, Amash Aqil1, Nida Shahab Bham1, Mohammad Ali Khan1, Irfan Nazir Hassan1, M Masood Kadir2.
Abstract
BACKGROUND: Modifiable risk factors of cardiovascular diseases (CVD) have their triggers in the neighborhood environments of communities. Studying the environmental triggers for CVD risk factors is important to understand the situation in a broader perspective. Young adults are influenced the most by the environment profile around them hence it is important to study this subset of the population.Entities:
Mesh:
Year: 2015 PMID: 25946006 PMCID: PMC4422655 DOI: 10.1371/journal.pone.0124827
Source DB: PubMed Journal: PLoS One ISSN: 1932-6203 Impact factor: 3.240
Availability of tobacco, fast food, fruits, vegetables and recreational parks in the two communities.
| Number of Observations | |
|---|---|
|
| 24 |
|
| 14 |
|
| 30 |
|
| 13 |
|
| 18 |
|
| 3 |
|
| 1 |
Food and Tobacco Purchasing Environment.
| Item | Average prices of various food items (price in PKR, 1 USD = 105 PKR in January 2014) |
|---|---|
|
| 125 |
|
| 200 |
|
| 110 |
|
| 35 |
|
| 45 |
|
| 30 |
|
| 95 |
|
| 110 |
|
| 74 |
|
| 150 |
|
| 270 |
|
| 6 |
|
| 45 |
|
| 28 |
|
| 130 |
Participants’ Demographics.
|
| 21.0±2 |
|
| |
| • Senior/Higher secondary | 34.5 |
| • Trade school/College/University | 65.5 |
|
| 61.1 |
|
| |
| • Current(%) | 13.3 |
| • Former (%) | 12.0 |
Smoking restrictions in neighborhood verses preferences regarding the restrictions.
| % ‘yes’ (95% CI upper, lower limits) | |
|---|---|
|
| |
| No restrictions | 26.5 (22.8,30.2) |
| Some restrictions | 48.5 (44.4,52.6) |
| Strict restrictions | 20.0 (16.7,23.3) |
|
| |
| No restrictions | 8.2 (6.0, 10.4) |
| Some restrictions | 3.1 (14.8, 21.0) |
| Strict restrictions | 47.9 (43.8,51.9) |
Tobacco advertising versus Promotion of Smoking Cessation.
| % ‘yes’ (95% CI upper, lower limits) | |
|---|---|
|
| |
| Posters / billboards | 49.6 (40.6,58.6) |
| Television / radio | 48.7 (39.6,57.8) |
| Newspapers / magazines | 47.0 (38.0,56.0) |
| Actors smoking in movies/ TV shows | 89.0 (83.4,94.7) |
|
| |
| Posters / billboards | 48.3 (39.2,57.3) |
| Television / radio | 66.4 (57.9,74.9) |
| Newspapers / magazines | 49.2 (40.2,58.2) |
Advertising for junk food vs advertising for fruits, vegetables and healthy diet.
| % yes (95% CI upper, lower limits) | |
|---|---|
|
| |
| Posters | 91.4 (86.3,96.5) |
| TV/Radio | 91.4 (86.3,96.5) |
| Newspapers/magazine | 86.2 (79.9, 92.5) |
| Sponsorship of sporting, music or other cultural events | 69.8 (61.4,78.2) |
| Products such as umbrella, ashtrays, clothing | 41.4 (32.4,50.4) |
|
| |
| Posters | 37.9 (29.1,46.7) |
| TV/Radio | 47.4 (38.3,56.5) |
| Newspapers/magazine | 46.6 (37.5,55.7) |
| Sponsorship of sporting, music or other cultural events | 25.9 (17.9,33.9) |
|
| |
| Posters | 33.6 (25.0,42.2) |
| TV/Radio | 31.9 (23.4,40.4) |
| Newspapers/magazine | 47.4 (38.3,56.5) |
Knowledge of smoking and lifestyle changes in relation to heart disease and other conditions.
| % Yes (95% CI upper, lower limits) | |
|---|---|
|
| |
| Heart disease in smokers | 88.3 (82.6,94.1) |
| Arthritis in smokers | 39.2 (30.5,47.9) |
| Stroke in smokers | 62.5 (53.8,71.2) |
| Diabetes in smokers | 34.5 (26.0,43.0) |
| Lung cancer in smokers | 89.2 (83.7,94.8) |
| Lung cancer due to passive smoking | 85.8 (79.6,92.1) |
| Asthma from passive smoking | 72.5 (64.5,80.5) |
| Heart disease from passive smoking | 55.8 (46.9,64.7) |
|
| |
| More exercise | 93.3 (88.8,97.8) |
| Eating more fruit | 85.7 (79.4,92.0) |
| Eating more green vegetables | 87.4 (81.4,93.4) |
| Eating more meat | 16.0 (9.4,22.6) |
| Drinking more coffee | 11.9 (6.1,17.7) |
| Eating more dairy products | 35.3 (26.7,43.9) |
| Eating more fish | 48.7 (39.7,57.7) |
| Smoking | 28.6 (20.5,36.7) |
| Reducing fat in meals | 77.8(70.3,85.3) |
| Reducing salt in meal | 69.2(60.8,77.6) |
| Gaining weight | 21.8 (14.1,29.5) |
Social Disapproval of Smoking in the two communities.
| % Yes (95% CI upper, lower limits) | ||
|---|---|---|
|
| ||
| Smoking in children less than 15 years | 77.5(70.0,85.0) | |
| Smoking in age groups 16–19 years | 54.2(45.2,63.2) | |
| Women Smoking | 68.9(60.6,77.2) | |
| Men smoking | 11.9 (6.1,17.7) | |
| Smoking waterpipes (‘sheesha’)in age groups 16–19 years | 19.2 (17.0,21.4) | |
| Smoking waterpipes in adults | 20.5 (18.2,22.8) | |
| % responses (95% CI upper, lower limit) | ||
| Common in neighborhood | Would not occur | |
| Would adults in this community tell children, who are not their own children, to stop smoking? | 27.8(19.7,35.9) | 6 (1.7,10.3) |
| In your opinion, do people generally help others not related to them in this community? | 35.3(26.7–43.9) | 4.2(0.6,7.8) |
Community awareness regarding legislation and support programs.
| % Yes (95% CI upper, lower limits) | |
|---|---|
|
| |
| Support programs that individuals can access to stop smoking | 29.3(21.0,37.6) |
| Laws that ban smoking in public places | 42.4 (33.5,51.3) |
| Laws that restrict tobacco advertising | 42.4 (33.5,51.3) |
| Laws that mandate health warning on cigarette packs | 66.9 (58.4,75.4) |
| Laws that prohibit smoking in youth | 38.1 (29.3,46.9) |
|
| |
| Dietary guidelines or healthy food/habits | 35.9(27.2,44.6) |
| Laws that mandate nutrient labeling on food/beverages | 23.5(15.8,31.3) |
| Laws that subsidize or lower tax paid on fresh fruit and/or vegetables such that they are cheaper to buy | 18.4 (11.3,25.5) |