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Review Special Issues

Neural stem cell derived tumourigenesis

  • In the developing Drosophila CNS, two pools of neural stem cells, the symmetrically dividing progenitors in the neuroepithelium (NE) and the asymmetrically dividing neuroblasts (NBs) generate the majority of the neurons that make up the adult central nervous system (CNS). The generation of a correct sized brain depends on maintaining the fine balance between neural stem cell self-renewal and differentiation, which are regulated by cell-intrinsic and cell-extrinsic cues. In this review, we will discuss our current understanding of how self-renewal and differentiation are regulated in the two neural stem cell pools, and the consequences of the deregulation of these processes.

    Citation: Francesca Froldi, Milán Szuperák, Louise Y. Cheng. Neural stem cell derived tumourigenesis[J]. AIMS Genetics, 2015, 2(1): 13-24. doi: 10.3934/genet.2015.1.13

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  • In the developing Drosophila CNS, two pools of neural stem cells, the symmetrically dividing progenitors in the neuroepithelium (NE) and the asymmetrically dividing neuroblasts (NBs) generate the majority of the neurons that make up the adult central nervous system (CNS). The generation of a correct sized brain depends on maintaining the fine balance between neural stem cell self-renewal and differentiation, which are regulated by cell-intrinsic and cell-extrinsic cues. In this review, we will discuss our current understanding of how self-renewal and differentiation are regulated in the two neural stem cell pools, and the consequences of the deregulation of these processes.


    1. Introduction

    The consumption of NCSD is prevalent among youngsters worldwide [1,2]. NCSD contain saturated carbon dioxide, sweeteners, and other ingredients such as flavor enhancers, salts, additives and preservatives [3]. In 1997, each person in the world consumed approximately 36 liters of NCSD a year, and the consumption level increased to 43 liters in 2010 [4]. According to a report on the trend of NCSD consumption among Americans in 2012, American families consumed three types of NCSD a week, and 62% of American adults drank at least one type of NCSD every two weeks. Besides, 49% of the NCSD was consumed at lunch while 31% at dinner [5]. A study in Australia indicated that the daily amount of NCSD consumed per capita increased by age. Particularly, children aged 2-3 years drank 53 ml as opposed to 364 ml consumed by those aged 16-18 years. In the latter group, a male drank 480 ml compared to 240 ml by a female [6].

    Several studies gave warnings about harmful effects of excess daily NCSD consumption on health such as overweight, blood lipid disorders, diabetes, gout and cancer [4,6,7,8]. Daily consumption of NCSD can increase the risk of overweight in both children and adults [4,9,10]. Children aged 11-13 years who drank fewer than three cans of NCSD a day had a 1.02 times lower BMI z-score (adjusted for age and gender) compared to those consuming three or more cans of NCSD a day [11]. Besides, certain studies reported low level of knowledge and attitude regarding NCSD. One study carried out in 2013 with 110 second-year medical students in India showed that only six students (5.5%) were able to identify all ingredients of NCSD correctly. Nearly eighty students (73%) had good knowledge of adverse effects of NCSD, and 69 students (62.7%) reported never having tried to give up the habit of consuming NCSD [12]. A study on KAP related to NCSD consumption among students aged 8-17 years in India revealed that as many as 17.1% from group Ⅰ (lower socio-economic group) and 28.3% from group Ⅱ (higher socio-economic group) thought that NCSD caused no harm to oral health [13].

    In Vietnam NCSD consumption at festivals, celebrations or meetings is very common with a consumption rate of 75.8%. The proportion of people consuming NCSD 3-4 times/week and 1-2 times/week were 28.6%, and males drank NCSD more frequently than females [14]. The levels of NCSD consumption in Vietnam are identified mainly on the basis of the total volume of NCSD consumed through out the country. Besides, very few studies in Vietnam explored the knowledge and attitude regarding NCSD consumption, especially among high students who are more likely to consume such drinks than any other group in the general population [3,14,15]. This article aimed to describe the knowledge and attitude of students fromtwo high schools in Hanoi in 2015 and identify their frequency and level of NCSD consumption within one month prior to the study.


    2. Materials and Methods


    2.1. Study Design

    This descriptive cross-sectional study using face-to-face interviews and a semi-quantitative food frequency questionnaire was conducted between January 2015 and August 2015, and data collection was carried out in the end of April 2015.


    2.2. Sampling

    The minimum sample size calculated for this study was 645 students. The sample size was calculated based on the formular used for estimation of a proportion with a specifed precision. The values of the parameters for sample size calculation were as follows: Z1-α/2 = 1.96 for 95% CI (α = 0.05); estimated population proportion of those who have good knowledge of NCSD consumption (p = 0.273) [12], design effect allowing for multistage sampling (DE = 2), and margin or error (d = 5%). This sample size also allowed for a non-response rate of 5%. With this sample size, the students needed to be recruited in each school ranged from 320 to 325.

    Multi-stage sampling was applied in this study. Firstly, two high schools, one in the urban area and the other in the suburban area of Hanoi, were randomly selected from a list of all high schools in each area. Each class from those schools had between 50 and 55 students; hence, six classes, including two 10th grade classes, two 11th grade and two from 12th grade, were randomly selected by drawing from either school. All students of the six selected classes were recruited to the study. However, in fact, only 620 students from two schools participated in the study.


    2.3. Data Collection

    At the end of each school day, students had their weights and heights measurd using SECA electronic scales with an accuracy of 100 grams and UNICEF's wooden three-piece height boards with an accuracy of 0.1 cm. After that, in order to collect data about the students' knowledge and attitude regarding NCSD, they were interviewed using a questionnaire that had been piloted with 15 students and then revised carefully.

    Data about the frequency and level of consumption of NCSD within one month prior to the study were collected by using a semi-quantitative food frequency questionnaire which had been piloted with 15 students and revised so that the questionnaire was understandable to the participants. All types of NCSD commonly available in the local market at the time of the study were listed in the questionnaire, and the investigators asked the students how many times they consumed each type of NCSD daily, weekly and monthly and on special occasions such as festivals, celebrations, or meetings within the previous month and the amounts of NCSD they consumed each time. In order to minimize recall biases, the interviewers reminded the students of important events in which they were likely to consume NCSD within the month prior to the study, including holidays, festivals, or birthday parties. Besides, the interviewers showed the students pictures of glasses, cans and bottles commonly used as containers of the NCSD to help the students estimate more exactly the amount of NCSD they consumed on each occasion, measured in mililiter.

    By the end of each day, all questionnaires were cross-checked in order to identify and timely recollect missing information.


    2.4. Measures


    2.4.1. Outcome Variables

    Students' knowledge of NCSD was measured based on their understanding about ingredients of the NCSD, the benefits of NCSD and health risks associated with NCSD consumption.

    Students' attitude toward NCSD was measured based on how much they agree with NCSD consumption and how willing they were to stop consuming NCSD if being aware of health risks.

    The frequency of NCSD consumption was categorized into 8 levels: 1-2 times/week, 3-5 times/week, 6-7 times/week, 1-2 times/month, 3-5 times/month, 6-7 times/month, only on the special occasions (e.g. festivals, celebrations, or birthday parties), and rarely.

    The amount of NCSD consumed within one month prior to the study was calculated by total amount of NCDS consumption of each student within one month prior to the study.


    2.4.2. Explanatory Variables

    The background information about the study participants included age, gender, grade, weight, height, BMI, nutritional status, perceived household economic status, and fathers' and mothers' highest education levels.

    The nutritional status of the students was categorized into three levels, namely malnourished (BMI for age < -2SD); normal (-2SD ≤ BMI for age ≤ +1SD); and overweight (BMI for age > +1SD).

    Perceived household economy was self assessment by student and categorized into four levels, namely high income, middle income, low income, and don't know/don't answer.

    Parents' education levels were reported by the students and categorized into two levels, namely less than high school, and high school and above.


    2.5. Data Analysis

    Data were entered into Epi data 3.0, randomly checked to ensure their accuracy and analyzed using SPSS 19.0. The knowledge, attitude and frequencies regarding NCSD consumption were presented in tables in the form of frequencies and proportions. Mean values were used to calculate the average amount of NCSD consumed within one month prior to the study.


    2.6. Ethical Considerations

    The study was approved by the Ethical Committee of Hanoi School of Pubic Health. The research team obtained approval to conduct the study from the Boards of Management of two high schools before the data collection was undertaken. In order to maximize the participation rate, the interviewers explained clearly to the students about the study objectives, the study procedures and informed them that participation in the study was completely voluntary, which meant that they could withdraw from the study at any time without any consequences. Each student was given a consent form and asked to read it carefully and sign it before the interview started. At the end of each, a couselling session about possible health risks associated with NCSD consumption was provided to the student by the research team. The study results were to be disseminated to relevant stakeholders in order to inform policies and interventions to improve the health of young people and paved the way for future studies.


    3. Results

    In total 620 students from two schools participated in the study. The study population consisted 43.5% males and 56.5% females; this ratio was relatively conistent among 10th, 11th and 12th grades. Most students (77.6%) thought their households had a middle-level income, and urban students from middle-income households out numbered those from suburban areas (81.7% vs. 73.6%). The mean weight of male students was 57.1 kg compared to 48.3 kg in female students. Male students from the urban area had greater weight than those from the suburban area, and this was also true in the case of female students (p < 0.05). Malnourished students accounted for 5.2%, and students from both schools who suffered from overweight and obesity made up 7.7%; the rate of overweight and obesity in urban area was three times higher than that in the suburban one (11.9% vs. 3.9%) (p < 0.05). The rate of parents in the urban area who had education level of high school and above exceeded that of those in the suburban area (p > 0.05). Detailed information is presented in Table 1.

    Table 1. General information about high school students.
    Contents Details Urban
    n = 313
    Suburban
    n = 307
    Total
    n = 620
    Grade (n, %) Grade 10 116 (37.1) 98 (31.9) 214 (34.5)
    Grade 11 87 (27.8) 110 (35.9) 197 (31.8)
    Grade 12 110 (35.1) 99 (32.2) 209 (33.7)
    Mean Age (X ± SD) Male 16.3 ± 1.0 16.5 ± 0.9 16.4 ± 0.9
    Female 16.3 ± 1.0 16.2 ± 0.9 16.3 ± 1.0
    Gender (n, %) Male 140 (44.7) 130 (42.3) 270 (43.5)
    Female 173 (55.3) 177 (57.7) 350 (56.5)
    Mean weight
    (X ± SD)
    Male *
    Female *
    60.1 ± 11.6
    50.3 ± 7.8
    53.8 ± 8.1
    46.3 ± 5.4
    57.1 ± 10.5
    48.3 ± 6.9
    Mean height
    (X ± SD)
    Male
    Female
    168.2 ± 5.6
    156.2 ± 5.5
    165.7 ± 6.2
    155.4 ± 4.8
    167.0 ± 6.0
    155.8 ± 5.2
    BMI for age (BAZ) Male -0.14 ± 1.2 -0.74 ± 1.0 -0.43 ± 1.15
    Female -0.23 ± 0.89 -0.71 ± 0.80 -0.47 ± 0.88
    Nutritional status Malnourished 11 (3.5) 21 (6.8) 32 (5.2)
    Normal 266 (85.0) 274 (89.3) 540 (87.1)
    Overweight * 36 (11.5) 12 (3.9) 48 (7.7)
    Father's education level (n, %) Less than high school 63 (20.1) 117 (38.1) 180 (29.0)
    High school or above 250 (79.9) 190 (61.9) 440 (71.0)
    Mother's education level (n, %) Less than high school 59 (18.8) 121 (39.4) 180 (29.0)
    High school or above 254 (81.2) 186 (60.6) 440 (71.0)
    Perceived household economy (n, %) High income 6 (1.9) 12 (3.9) 18 (2.9)
    Middle income 256 (81.5) 226 (73.6) 481 (77.6)
    Low income 32 (10.2) 42 (13.7) 74 (11.9)
    Don't know/Don't answer 20 (6.4) 27 (8.8) 47 (7.6)
    *: p < 0.05 (comparison between urban and suburban schools).
     | Show Table
    DownLoad: CSV

    3.1. Knowledge and Attitude Regarding NCSD

    The results in Table 2 indicate that the students had very poor knowledge of the ingredients of NCSD; only 11.9% of the students were able to identify all ingredients correctly (9.9% urban students vs. 14.0% suburban students). Three ingredients most commonly reported by students were sugar (78.7%), carbon dioxide (69.2%) and color additives (69.2%). Noticeably, 9% and 5.9% of urban and suburban students knew none of the ingredients of NCSD, respectively.

    Table 2. Knowledge of the ingredients of NCSD.
    Ingredients Urban school
    n = 313 (n, %)
    Suburban school
    n = 307 (n, %)
    Total
    n = 620 (n, %)
    Sweeteners 257 (82.1) 231 (75.2) 488 (78.7)
    Carbon dioxide 215 (68.7) 214 (69.7) 429 (69.2)
    Alcohol 76 (24.3) 82 (26.7) 158 (25.5)
    Flavor enhancer 187 (59.7) 175 (57.0) 362 (58.4)
    Additives 148 (47.3) 144 (46.9) 292 (47.1)
    Preservatives 204 (65.2) 178 (58.0) 382 (61.6)
    Color additives 214 (68.4) 215 (70.0) 429 (69.2)
    Others 7 (2.2) 0 7 (1.1)
    Don't know 28 (9.0) 18 (5.9) 46 (7.5)
    All ingredients 31 (9.9) 43 (14.0) 74 (11.9)
     | Show Table
    DownLoad: CSV

    A relatively high proportion of students misunderstood that NCSD had some benefits for the body. About two thirds of them thought NCSD could help reduce tiredness (71.4%), and 43.7% of the students from both schools considered that NCSD could provide energy for the body. Differences between urban and suburban rates regarding positive effects of NCSD were not statistically significant.

    Table 3 also shows that the students had poor knowledge about health risks associated with NCSD consumption, irrespective of which school they came from. Diabetes and flatulence/dyspepsia were the two most commonly reported health risks most commonly (59.7% and 54.8%, respectively). Students who were aware of the health risks associated consumption of NCSD accounted for 14%. Only 2.7% of the students answered all of the eight questions related to health risks correctly.

    Table 3. Knowledge about effects of NCSD on human body.
    Contents Urban school
    n = 313 (n, %)
    Suburban school
    n = 307 (n, %)
    Total
    n = 620 (n, %)
    Misunderstanding about the positive effects of NCSD on human body
    NCSD help reduce tiredness 217 (69.8) 224 (73.0) 441 (71.4)
    NCSD help digestion of food 78 (25.1) 67 (21.8) 145 (23.5)
    NCSD provide energy 132 (42.4) 138 (45.0) 270 (43.7)
    Others 9 (2.9) 9 (2.9) 18 (2.9)
    Understanding about health risks associated with consumption of NCSD
    Diabetes 203 (64.9) 167 (54.4) 370 (59.7)
    Flatulence/dyspepsia 173 (55.3) 167 (54.4) 340 (54.8)
    Cancer 77 (24.6) 92 (30.0) 169 (27.3)
    Hyperlipidemia 79 (25.2) 74 (24.1) 153 (24.7)
    Overweight-obesity 99 (31.6) 41 (13.4) 140 (22.6)
    Micronurtrient deficiency 58 (18.5) 46 (15.0) 104 (16.8)
    Osteoporosis 44 (14.1) 47 (15.3) 91 (14.7)
    Gout 30 (9.6) 25 (8.1) 55 (8.9)
    Don't know 48 (15.3) 39 (12.7) 87 (14.0)
    Answered correctly all of the eightitems relating to health risks 11 (3.5) 6 (2.0) 17 (2.7)
     | Show Table
    DownLoad: CSV

    Table 4 illustrates the students' attitude toward NCSD consumption. Only 41.3% of the students disagreed with NCSD consumption. The disagreement rate among suburban students exceeded that among urban students. Similarly, female students who disagreed with NCSD consumption out numbered male ones (p < 0.05).

    Despite being aware of the health risks associated with the consumption of NCSD, about one third of students (31.4%) were not willing to stop the habit of drinking them. The proportion of urban students willing to stop drinking NCSD was quite similar to that of those from the suburban area. Likewise, similar proportions were also found among male and female students.

    Table 4. Students' attitude toward NCSD consumption.
    Contents Strongly agree
    (n, %)
    Agree
    (n, %)
    Disagree
    (n, %)
    Level of agreement with NCSD consumption
    Area (n = 620)
    Urban school 40 (12.8) 169 (54.0) 104 (33.3) *
    Suburban school 25 (8.2) 130 (42.3) 152 (49.5) *
    Total 65 (10.5) 299 (48.2) 256 (41.3)
    Gender (n = 620)
    Male 45 (16.6) 145 (53.7) 80 (29.6) *
    Female 20 (5.7) 154 (44.0) 176 (50.2) *
    Level of willingness to quit the habit of consuming NCSD if being aware of their health risks
    Area (n = 620)
    Urban school 112 (35.7) 105 (33.5) 96 (30.7)
    Suburban school 94 (30.6) 114 (37.1) 99 (32.3)
    Total 206 (33.2) 219 (35.3) 195 (31.4)
    Gender (n = 620)
    Male 81 (30.0) 99 (36.7) 90 (33.3)
    Female 125 (35.8) 120 (34.3) 105 (30.0)
    *: p < 0.05, comparison between the urban vs. suburban schools and male vs. female.
     | Show Table
    DownLoad: CSV

    3.2. Frequency and Level of Consumption of NCSD

    The study results showed that 100% of the students had consumed NCSD before. Figure 1 below illustrates the occasions on which students consumed NCSD.

    Figure 1. Occasions on which NCSD were consumed (n= 620).

    In a descending order, five most common occasions on which NCSD consumed included friend meetings, family gatherings, parties, picnics and hot days. Noticeably, the rate of drinking NCSD during meals among urban students was higher than that among suburban ones (21.9% vs. 9.4%), and the rate of drinking NCSD at any time among urban students was twice as much as that among suburban students (41.3% vs. 26.7%).

    Table 5. Frequency of NCSD consumption within one month prior to the study.
    Level of consumption Urban school
    (n, %)
    Suburban school
    (n, %)
    Total
    (n, %)
    Used to consume NCSD
    (n = 620)
    313 (100.0) 307 (100.0) 620 (100.0)
    Consumed NCSD within one month prior to the study (n = 620) 260 (83.1) 255 (83.1) 515 (83.1)
    Frequency of NCSD consumption within one month prior to the study (n = 515)
    Daily 17 (6.5) 27 (10.6) 44 (8.5)
    1-2 times/week 53 (20.4) 58 (22.7) 111 (21.6)
    3-5 times/week 42 (16.2) 38 (14.9) 80 (15.5)
    6-7 times/week 5 (1.9) 14 (5.5) 19 (3.7)
    1-2 times/month 33 (12.7) 31 (12.2) 64 (12.4)
    3-5 times/month 29 (11.2) 25 (9.8) 54 (10.5)
    6-7 times/month 19 (7.3) 13 (5.1) 32 (6.2)
    Only consumed on special occasions (e.g. festivals, celebrations, or birthday parties) 49 (18.8) 43 (16.9) 92 (17.9)
    Rarely 13 (5.0) 6 (2.4) 19 (3.7)
     | Show Table
    DownLoad: CSV

    The proportions of students from two high schools consuming NCSD within one month prior to the study were exactly the same (83.1%). Students consuming NCSD 1-2 times/week accounted for the highest proportion (21.6%), followed by the proportion of those only drinking NCSD on special occasions (17.0%), and the proportion of those consuming NCSD 3-5 times/week (15.5%). About 8.5% of students reported daily consumption of NCSD.

    As can be seen in Table 6, on average, each student consumed 2,094 ml of NCSD or six 330-militer cans every month. The level of NCSD consumption varied between study sites and genders (p < 0.05). More specifically, urban students consumed a smaller amount of NCSD than did suburban ones (1,630 ml vs. 2,568 ml) (p < 0.05). Male students drank 1.5 times more than female ones (2,833 ml vs. 1,525 ml) (p < 0.01).

    Table 6. The total amount of NCSD consumed within one month prior to the study.
    Contents Details Median
    (Min; Max) (ml)
    Mean
    (X ± SD) (ml)
    p
    Area Urban (n = 260) 1,320
    (160 ; 9,360)
    1,630.5 ± 2,604.3 p < 0.05
    Suburban (n = 255) 1,569.3
    (110; 7,520)
    2,568.4 ± 3,979.1
    Total (n = 515) 1,300
    (110; 9,360)
    2,094.9 ± 3,386.1
    Gender Male (n = 243) 1,440
    (90 ; 9360)
    2,833.6 ± 4,001.5 p < 0.01
    Female (n = 272) 1,040
    (120 ; 8,910)
    1,525.1 ± 2,692.0
    Nutritional status Malnourished (n = 29)
    Normal (n = 448) Overweight and obesity (n = 38)
    1,320
    (110,0; 9,220)
    995.0
    (100,0; 6,600)
    840.0
    (150.0; 9,240)
    2,484,4 ± 1,744.2
    2,074.2 ± 2,219.6
    2,069.0 ± 2,772.0
    p > 0.05
    Perceived household economy High income (n = 15) 1,215.0
    (330; 9,900)
    2,299.4 ± 2,052.6 p > 0.05
    Middle income
    (n = 405)
    1,000
    (100 ; 5,600)
    2,014.4 ± 1,099.6
    Low income (n = 60) 985.0
    (170 ; 7,700)
    2,173.2 ± 2,248.6
    Don't know/don't answer (n = 35) 840,0
    (110; 9,110)
    1,615.4 ± 2,374.7
    Father's education level Less than high school (n = 156) 1,077.5
    (110; 7,700)
    2,145.8 ± 3,647.6 p > 0.05
    High school or above
    (n = 359)
    990.0
    (100; 8,630)
    2,074.1 ± 3,277.2
    Mother's education level Less than high school
    (n = 149)
    1,025.0
    (100; 9,700)
    2,030.2 ± 2,279.7 p > 0.05
    High school or above
    (n = 366)
    990.0
    (100; 8,700)
    2,121.4 ± 2,432.0
     | Show Table
    DownLoad: CSV

    When looking at NCSD amounts by nutritional status, it was found that malnourished students were more likely to consume NCSD (median = 1,320 ml, and mean = 2,484.4 ml). However, the difference between the nutritional status groups was not statistically significant (p > 0.05). Regarding household economy, the amount of NCSD consumed by students from high income households was three times higher than that consumed by the other groups (p > 0.05). No difference regarding the amounts consumed were found between students whose parents completed high school or higher level of education and those whose parents did not complete high school.


    4. Discussion

    Very few epidemiological studies on knowledge and attitude toward NCSD have been done in Vietnam. In review literature relevant to this study, the research team did not find any study on such knowledge and attitude but a small number of reports and articles on the habit of NCSD consumption and NCSD market [3,14,15].


    4.1. Students' Knowledge of NCSD

    There have been growing concerns about the negative impacts of NCSD on human health. Our study results showed that students from two high schools had poor knowledge about ingredients of NCSD, and misunderstood about the benefits of NCSD to humanbody and the health risks assoicated with NCSD consumption. Our study results are consistent with those ofa study conducted in 2013 on 110 medical students in India, in which 100% of the participants reported having heard of NCSD, but only 5.5% of them knowing all the contents printed on NCSD bottles. Moreover, 73% of the students in our study knew detrimental effects of NCSD consumption, and 31% said that overweight and obesity were the main consequences of NCSD consumption [12]. The results are also consistent with those of a study that revealed students and adolescents' low level of knowledge about adverse effects of NCSD on dental and oral health [13,16].

    Although NCSD are advertised in the mass media, advertisements seem only to "stimulate" consumers' thirst for purchasing and consuming such drinksand offer attractive promotions to consumers while ignoring health risks associated with NCSD consumption. Advertisements sometimes exagge rate the benefit of NCSD and feature celebrities to make products more appealing to youngsters [11]. Advertising can have long-term impression on young people and influences their habit of consuming NCSD. Given that young people are the biggest group ofNCSD consumers, not many of them have good understanding about such drinks [11]. This means that in this era of information explosion, young people still need to be provided with knowledge about the adverse effects of NCSD through communication activities. Besides, the roles of their parents and schools in equipping them with such knowledge should also be emphasized.


    4.2. Students' Attitude towards NCSD Consumption

    Regarding attitude towards NCSD consumption, about 50% of the students from either school accepted NCSD consumption. This may resulted from their low level of knowledge and lack of information about adverse effects of NCSD consumption on human health, The proportion of students who agreed and strongly agreed with NCSD consumption was over 60%. One noticeable result was that about one third of the students disagreed to stop drinking NCSD even though they were well aware of the health risks associated with consumption of NCSD. This unfavorable attitude is correlated with their low level of knowledge about NCSD. This result was quite consistent with that of a study on KAP of NCSD consumption conducted on 110 second-year medical students in India, in which 69.2% of students had tried to stop or quit the habit of consuming NCSD. This means just over 30% of them did not want to quit the habit of consuming such drinks [12].


    4.3. Frequency and Level of Consumption

    Ourstudy results showed that 100% of the students used to drink NCSD. The proportion of students consuming NCSD within one month prior to the study was very high (83.1%). This result indicated that NCSD were appealing to and commonly consumed among the study participants.

    Students who drank NCSD 1-2 times/week accounted for the highest proportion (21.6%) while very few of them drank daily (8.4%). These results were some what incosistent with the results reported in a study by W&S, in which the proportions of participants who drank NCSD 3-4 times/week and 1-2 times/week were found highest, both standing at 28.6% [14]. This may be because out data collection was carried out in end-April to early summer when the level and amount of consumption were lower than in late summer. Indeed, people tend to consume more NCSD in August—the hottest month of the year, according to a study by W&S [14]. The frequency of consuming NCSD was high on occasions such as parties or family gatherings when NCSD as well as other foods and drinks are more likely to be consumed. However, the frequency of consuming NCSD in our study was lower than that in two studies in India and the USA [5,13,16].

    On average, each student consumed 2,094 ml NCSD of all types (equivalent to six cans), or an annual average of 25 liters each month. Currently different levels of NCSD consumption among Vietnamese people have been reported. A report indicated that the total amount of NCSD in Vietnam in 2013 was estimated to be 927 million liters, equivalent to 10 l/person/year [14]. According to another report, the total amount of NCSD consumption continuously increased, and the national total NCSD consumption in 2013 was 2,083 million liters [15]. If that amount was divided by 90 million Vietnamese people, each individual would consume about 23 liters a year. The level of NCSD consumed by the students in our study (25 l/person/year) was higher than those in the two reports mentioned above. This can be explained by the fact that the two reports calculated the level of NCSD consumption per capita based on the amount of NCSD sold to all Vietnamese people, including young children, elderly people and those living in remote and secluded areas - those who tend to drink less and live in disadvantaged areas. Our study was, however, conducted in the capital city of Hanoi -the leading socio-economic and cultural center of the country where students can easily access and consume a higher amount of NCSD. Besides, the study's participants belonged to a group with the highest level of NCSD consumption [14,15,17].

    However, the levels of consumption by Vietnamese people in general and by the students in our study were much lower than in certain studies conducted in other countries. For example, the total amount of NCSD consumed worldwide in 2012 was 220 billion liters per year. Each American consumed an annual average of about 43-46 liters as opposed to 23.1 liters by a Japanese person [8,18].


    4.4. Limitations

    The students were asked about different types of NCSD that they had consumed within one month before the study and to estimate the amount they consumed per occasion. Although investigators gave hints to students to remind them of the occasions on which they might consume NCSD, such as birthday parties or when they participated in sport activities, etc recall bias might occur as the students might forgot some occasions. At the same time, although pictures of NCSD containers such as bottles, cans or glasses were shown to students in order to help them estimate the amounts of NCSD they used to consume, there by assisting investigators in converting those amounts into milimiters, information biases were inevitable.

    This study referred to questions on knowledge and attitude as well as the semi-quantitative food frequency questionnaire from prior studies and adapted them to study participants and sites. Although the questionnaires had been piloted and revised before data were officially, another limitation of this study is that these quesitonnaires were not validated among Vietnamese young people.


    5. Conclusion

    Most students consumed NCSD within one month prior to the study, but the rate of students with daily consumption of NCSD was not high; the consumption of NCSD among suburban students was higher than that among urban ones, and male students consumed larger amount of NCSD than did female ones. Students from both school had limited knowledge of and unfavorable attitude towards NCSD. Therefore, communication and raising the awareness of students are necessary to reduce health risks when consuming NCSD. Families and schools shall be an important channel of communication and education in minimizing the consumption of NCSD. There is a need of further studies at alarger and deeper scale regarding NCSD consumption and health risks associated with NCSD consumption in the Vietnamese population.


    Acknowledgments

    We would like to thank all students for their enthusiastic participation in this study. We are grateful to the Boards of Management from two high schools in Hanoi for cooperating with us in data collection. Finally, we are indebted to Atlantic Philanthropies for providing the research team from Hanoi school of Public Health with financial support to conduct this study.


    Conflict of Interest

    All authors declare no conflicts of interest in this paper. The authors have not received any funding or benefits from industry or elsewhere to write this paper.


    [1] Vescovi AL, Galli R, Reynolds BA (2006) Brain tumour stem cells. Nat Rev Cancer 6: 425-436. doi: 10.1038/nrc1889
    [2] Brand AH, Livesey FJ (2011) Neural stem cell biology in vertebrates and invertebrates: more alike than different? Neuron 70: 719-729. doi: 10.1016/j.neuron.2011.05.016
    [3] Egger B, Gold KS, Brand AH (2010) Notch regulates the switch from symmetric to asymmetric neural stem cell division in the Drosophila optic lobe. Development 137: 2981-2987. doi: 10.1242/dev.051250
    [4] Orihara-Ono M, Toriya M, Nakao K, et al. (2011) Developmental Biology. Dev Biol 351: 163-175. doi: 10.1016/j.ydbio.2010.12.044
    [5] Yasugi T, Umetsu D, Murakami S, et al. (2008) Drosophila optic lobe neuroblasts triggered by a wave of proneural gene expression that is negatively regulated by JAK/STAT. Development 135: 1471-1480. doi: 10.1242/dev.019117
    [6] Ngo KT, Wang J, Junker M, et al. (2010) Concomitant requirement for Notch and Jak/Stat signaling during neuro-epithelial differentiation in the Drosophila optic lobe. Dev Biol 346: 284-295. doi: 10.1016/j.ydbio.2010.07.036
    [7] Zhao B, Li L, Lei Q, et al. (2010) The Hippo-YAP pathway in organ size control and tumorigenesis: an updated version. Gene Dev 24: 862-874. doi: 10.1101/gad.1909210
    [8] Halder G, Johnson RL (2011) Hippo signaling: growth control and beyond. Development 138: 9-22. doi: 10.1242/dev.045500
    [9] Yasugi T, Sugie A, Umetsu D, et al. (2010) Coordinated sequential action of EGFR and Notch signaling pathways regulates proneural wave progression in the Drosophila optic lobe. Development 137: 3193-3203. doi: 10.1242/dev.048058
    [10] Reddy BVVG, Rauskolb C, Irvine KD (2010) Influence of fat-hippo and notch signaling on the proliferation and differentiation of Drosophila optic neuroepithelia. Development 137: 2397-2408. doi: 10.1242/dev.050013
    [11] Morante J, Vallejo DM, Desplan C, et al. (2013) Conserved miR-8/miR-200 Defines a Glial Niche that Controls Neuroepithelial Expansion and Neuroblast Transition. Dev Cell 27: 174-187. doi: 10.1016/j.devcel.2013.09.018
    [12] Skeath JB, Thor S (2003) Genetic control of Drosophila nerve cord development. Curr Opin Neurobiol 13: 8-15. doi: 10.1016/S0959-4388(03)00007-2
    [13] Reichert H (2011) Drosophila neural stem cells: cell cycle control of self-renewal, differentiation, and termination in brain development. Results Probl Cell Differ 53: 529-546.
    [14] Prokop A, Technau GM (1991) The origin of postembryonic neuroblasts in the ventral nerve cord of Drosophila melanogaster. Development 111: 79-88.
    [15] Truman JW, Bate M (1988) Spatial and temporal patterns of neurogenesis in the central nervous system of Drosophila melanogaster. Dev Biol 125 145-157.
    [16] Maurange C, Cheng L, Gould AP (2008) Temporal transcription factors and their targets schedule the end of neural proliferation in Drosophila. Cell 133: 891-902. doi: 10.1016/j.cell.2008.03.034
    [17] Homem CCF, Steinmann V, Burkard TR, et al. (2014) Ecdysone and Mediator Change Energy Metabolism to Terminate Proliferationin Drosophila Neural Stem Cells. Cell 158: 874-888. doi: 10.1016/j.cell.2014.06.024
    [18] Bowman SK, Rolland V, Betschinger J, et al. (2008) The tumor suppressors Brat and Numb regulate transit-amplifying neuroblast lineages in Drosophila. Dev Cell 14: 535-546. doi: 10.1016/j.devcel.2008.03.004
    [19] Bello BC, Izergina N, Caussinus E, et al. (2008) Amplification of neural stem cell proliferation by intermediate progenitor cells in Drosophila brain development. Neural Dev 3: 5.
    [20] Homem CCF, Reichardt I, Berger C, et al (2013) Long-term live cell imaging and automated 4D analysis of drosophila neuroblast lineages. PLoS ONE 8: e79588. doi: 10.1371/journal.pone.0079588
    [21] Weng M, Golden KL, Lee C-Y (2010) dFezf/Earmuff maintains the restricted developmental potential of intermediate neural progenitors in Drosophila. Dev Cell 18: 126-135. doi: 10.1016/j.devcel.2009.12.007
    [22] Bayraktar OA, Boone JQ, Drummond ML, et al. (2010) Drosophila type II neuroblast lineages keep Prospero levels low to generate large clones that contribute to the adult brain central complex. Neural Dev 5: 26. doi: 10.1186/1749-8104-5-26
    [23] Chell JM, Brand AH (2010) Nutrition-Responsive Glia Control Exit of Neural Stem Cells from Quiescence. Cell 143: 1161-1173. doi: 10.1016/j.cell.2010.12.007
    [24] Sousa-Nunes R, Yee LL, Gould AP (2011) Fat cells reactivate quiescent neuroblasts via TOR and glial insulin relays in Drosophila. Nature 471: 508-512. doi: 10.1038/nature09867
    [25] Fernández-Hernández I, Rhiner C, Moreno E (2013) Adult neurogenesis in Drosophila. Cell Rep 3: 1857-1865. doi: 10.1016/j.celrep.2013.05.034
    [26] Schober M, Schaefer M, Knoblich JA (1999) Bazooka recruits Inscuteable to orient asymmetric cell divisions in Drosophila neuroblasts. Nature 402: 548-551. doi: 10.1038/990135
    [27] Petronczki M, Knoblich JA (2001) DmPAR-6 directs epithelial polarity and asymmetric cell division of neuroblasts in Drosophila. Nat Cell Biol 3: 43-49. doi: 10.1038/35050550
    [28] Wodarz A, Ramrath A, Grimm A, et al. (2000) Drosophila atypical protein kinase C associates with Bazooka and controls polarity of epithelia and neuroblasts. J Cell Biol 150: 1361-1374. doi: 10.1083/jcb.150.6.1361
    [29] Rolls MM, Albertson R, Shih H-P, et al. (2003) Drosophila aPKC regulates cell polarity and cell proliferation in neuroblasts and epithelia. J Cell Biol 163: 1089-1098. doi: 10.1083/jcb.200306079
    [30] Betschinger J, Mechtler K, Knoblich JA (2003) The Par complex directs asymmetric cell division by phosphorylating the cytoskeletal protein Lgl. Nature 422: 326-330. doi: 10.1038/nature01486
    [31] Schaefer M, Petronczki M, Dorner D, et al. (2001) Heterotrimeric G proteins direct two modes of asymmetric cell division in the Drosophila nervous system. Cell 107: 183-194. doi: 10.1016/S0092-8674(01)00521-9
    [32] Schaefer M, Shevchenko A, Shevchenko A, et al. (2000) A protein complex containing Inscuteable and the Galpha-binding protein Pins orients asymmetric cell divisions in Drosophila. Curr Biol 10: 353-362. doi: 10.1016/S0960-9822(00)00401-2
    [33] Yu F, Morin X, Cai Y, et al. (2000) Analysis of partner of inscuteable, a novel player of Drosophila asymmetric divisions, reveals two distinct steps in inscuteable apical localization. Cell 100: 399-409. doi: 10.1016/S0092-8674(00)80676-5
    [34] Nipper RW, Siller KH, Smith NR, et al. (2007) Galphai generates multiple Pins activation states to link cortical polarity and spindle orientation in Drosophila neuroblasts. Proc Natl Acad Sci USA 104: 14306-14311. doi: 10.1073/pnas.0701812104
    [35] Izumi Y, Ohta N, Hisata K, et al. (2006) Drosophila Pins-binding protein Mud regulates spindle-polarity coupling and centrosome organization. Nat Cell Biol 8: 586-593. doi: 10.1038/ncb1409
    [36] Siller KH, Cabernard C, Doe CQ (2006) The NuMA-related Mud protein binds Pins and regulates spindle orientation in Drosophila neuroblasts. Nat Cell Biol 8: 594-600. doi: 10.1038/ncb1412
    [37] Bowman SK, Neumüller RA, Novatchkova M, et al. (2006) The Drosophila NuMA Homolog Mud regulates spindle orientation in asymmetric cell division. Dev Cell 10: 731-742. doi: 10.1016/j.devcel.2006.05.005
    [38] Siller KH, Doe CQ (2008) Lis1/dynactin regulates metaphase spindle orientation in Drosophila neuroblasts. Dev Biol 319: 1-9. doi: 10.1016/j.ydbio.2008.03.018
    [39] Lee C-Y, Wilkinson BD, Siegrist SE, et al. (2006) Brat is a Miranda cargo protein that promotes neuronal differentiation and inhibits neuroblast self-renewal. Dev Cell 10: 441-449. doi: 10.1016/j.devcel.2006.01.017
    [40] Wang C, Chang KC, Somers G, et al. (2009) Protein phosphatase 2A regulates self-renewal of Drosophila neural stem cells. Development 136: 2287-2296. doi: 10.1242/dev.035758
    [41] Ogawa H, Ohta N, Moon W, et al. (2009) Protein phosphatase 2A negatively regulates aPKC signaling by modulating phosphorylation of Par-6 in Drosophila neuroblast asymmetric divisions. J Cell Sci 122: 3242-3249. doi: 10.1242/jcs.050955
    [42] Chang KC, Garcia-Alvarez G, Somers G, et al. (2010) Interplay between the transcription factor Zif and aPKC regulates neuroblast polarity and self-renewal. Dev Cell 19: 778-785. doi: 10.1016/j.devcel.2010.10.007
    [43] Caussinus E, Gonzalez C (2005) Induction of tumor growth by altered stem-cell asymmetric division in Drosophila melanogaster. Nat Genet 37: 1125-1129. doi: 10.1038/ng1632
    [44] Wang H, Somers GW, Bashirullah A, et al. (2006) Aurora-A acts as a tumor suppressor and regulates self-renewal of Drosophila neuroblasts. Gene Dev 20: 3453-3463. doi: 10.1101/gad.1487506
    [45] Lee C-Y, Andersen RO, Cabernard C, et al. (2006) Drosophila Aurora-A kinase inhibits neuroblast self-renewal by regulating aPKC/Numb cortical polarity and spindle orientation. Gene Dev 20: 3464-3474. doi: 10.1101/gad.1489406
    [46] Wang H, Ouyang Y, Somers WG, et al. (2007) Polo inhibits progenitor self-renewal and regulates Numb asymmetry by phosphorylating Pon. Nature 449: 96-100. doi: 10.1038/nature06056
    [47] Chu-LaGraff Q, Wright DM, McNeil LK, et al. (1991) The prospero gene encodes a divergent homeodomain protein that controls neuronal identity in Drosophila. Development Suppl 2: 79-85.
    [48] Knoblich JA, Jan LY, Jan YN (1995) Asymmetric segregation of Numb and Prospero during cell division. Nature 377: 624-627. doi: 10.1038/377624a0
    [49] Spana EP, Doe CQ (1995) The prospero transcription factor is asymmetrically localized to the cell cortex during neuroblast mitosis in Drosophila. Development 121: 3187-3195.
    [50] Shen CP, Jan LY, Jan YN (1997) Miranda is required for the asymmetric localization of Prospero during mitosis in Drosophila. Cell 90: 449-458. doi: 10.1016/S0092-8674(00)80505-X
    [51] Choksi SP, Southall TD, Bossing T, et al. (2006) Prospero acts as a binary switch between self-renewal and differentiation in Drosophila neural stem cells. Dev Cell 11: 775-789. doi: 10.1016/j.devcel.2006.09.015
    [52] Betschinger J, Mechtler K, Knoblich JA (2006) Asymmetric segregation of the tumor suppressor brat regulates self-renewal in Drosophila neural stem cells. Cell 124: 1241-1253. doi: 10.1016/j.cell.2006.01.038
    [53] Song Y, Lu B (2012) Interaction of Notch signaling modulator Numb with α-Adaptin regulates endocytosis of Notch pathway components and cell fate determination of neural stem cells. J Biol Chem 287: 17716-17728. doi: 10.1074/jbc.M112.360719
    [54] Couturier L, Mazouni K, Schweisguth F (2013) Numb localizes at endosomes and controls the endosomal sorting of notch after asymmetric division in Drosophila. Curr Biol 23: 588-593.
    [55] Lin S, Lai SL, Yu HH, et al. (2009) Lineage-specific effects of Notch/Numb signaling in post-embryonic development of the Drosophila brain. Development 137: 43-51.
    [56] San-Juán BP, Baonza A (2011) The bHLH factor deadpan is a direct target of Notch signaling and regulates neuroblast self-renewal in Drosophila. Dev Biol 352: 70-82. doi: 10.1016/j.ydbio.2011.01.019
    [57] Song Y, Lu B (2011) Regulation of cell growth by Notch signaling and its differential requirement in normal vs. tumor-forming stem cells in Drosophila. Gene Dev 25: 2644-2658.
    [58] Xiao Q, Komori H, Lee C-Y (2012) klumpfuss distinguishes stem cells from progenitor cells during asymmetric neuroblast division. Development 139: 2670-2680. doi: 10.1242/dev.081687
    [59] Zacharioudaki E, Magadi SS, Delidakis C (2012) bHLH-O proteins are crucial for Drosophila neuroblast self-renewal and mediate Notch-induced overproliferation. Development 139: 1258-1269. doi: 10.1242/dev.071779
    [60] Bello B, Reichert H, Hirth F (2006) The brain tumor gene negatively regulates neural progenitor cell proliferation in the larval central brain of Drosophila. Development 133: 2639-2648. doi: 10.1242/dev.02429
    [61] Almeida MS, Bray SJ (2005) Regulation of post-embryonic neuroblasts by Drosophila Grainyhead. Mech Dev 122: 1282-1293. doi: 10.1016/j.mod.2005.08.004
    [62] Berger C, Harzer H, Burkard TR, et al. (2012) FACS purification and transcriptome analysis of drosophila neural stem cells reveals a role for Klumpfuss in self-renewal. Cell Rep 2: 407-418. doi: 10.1016/j.celrep.2012.07.008
    [63] Komori H, Xiao Q, McCartney BM, et al. (2014) Brain tumor specifies intermediate progenitor cell identity by attenuating β-catenin/Armadillo activity. Development 141: 51-62. doi: 10.1242/dev.099382
    [64] Janssens DH, Komori H, Grbac D, et al. (2014) Earmuff restricts progenitor cell potential by attenuating the competence to respond to self-renewal factors. Development 141: 1036-1046. doi: 10.1242/dev.106534
    [65] Koe CT, Li S, Rossi F, et al. (2014) The Brm-HDAC3-Erm repressor complex suppresses dedifferentiation in Drosophila type II neuroblast lineages. Elife 3: e01906.
    [66] Eroglu E, Burkard TR, Jiang Y, et al. (2014) SWI/SNF complex prevents lineage reversion and induces temporal patterning in neural stem cells. Cell 156: 1259-1273. doi: 10.1016/j.cell.2014.01.053
    [67] Janic A, Mendizabal L, Llamazares S, et al. (2010) Ectopic expression of germline genes drives malignant brain tumor growth in Drosophila. Science 330: 1824-1827. doi: 10.1126/science.1195481
    [68] Richter C, Oktaba K, Steinmann J, et al. (2011) The tumour suppressor L(3)mbt inhibits neuroepithelial proliferation and acts on insulator elements. Nat Cell Biol 13: 1029-1039. doi: 10.1038/ncb2306
    [69] Aloia L, Di Stefano B, Di Croce L (2013) Polycomb complexes in stem cells and embryonic development. Development 140: 2525-2534. doi: 10.1242/dev.091553
    [70] Southall TD, Davidson CM, Miller C, et al. (2014)Dedifferentiation of neurons precedes tumor formation in Lola mutants. Dev Cell 28: 685-696.
    [71] Carney TD, Struck AJ, Doe CQ (2013) Midlife crisis encodes a conserved zinc-finger protein required to maintain neuronal differentiation in Drosophila. Development 140: 4155-4164. doi: 10.1242/dev.093781
    [72] Froldi F, Szuperak M, Weng CF, et al. (2015) The transcription factor Nerfin-1 prevents reversion of neurons into neural stem cells. Gene Dev 29 [in press].
    [73] Read RD, Cavenee WK, Furnari FB, et al. (2009) A drosophila model for EGFR-Ras and PI3K-dependent human glioma. PLoS Genet 5: e1000374. doi: 10.1371/journal.pgen.1000374
    [74] Read RD, Fenton TR, Gomez GG, et al. (2013) A Kinome-Wide RNAi Screen in Drosophila Glia Reveals That the RIO Kinases Mediate Cell Proliferation and Survival through TORC2-Akt Signaling in Glioblastoma. PLoS Genet 9: e1003253. doi: 10.1371/journal.pgen.1003253
    [75] Witte HT, Jeibmann A, Klämbt C, et al. (2009) Modeling glioma growth and invasion in Drosophila melanogaster. Neoplasia 11: 882-888. doi: 10.1593/neo.09576
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    23. Amit Passi, S.M. Shiva Nagendra, M.P. Maiya, Characteristics of indoor air quality in underground metro stations: A critical review, 2021, 198, 03601323, 107907, 10.1016/j.buildenv.2021.107907
    24. Shengquan He, Feng Shen, Longzhe Jin, Dazhao Song, Xueqiu He, Majid Khan, Characteristics of subway air quality and favorable locations for passengers waiting and taking the subway, 2022, 13, 13091042, 101482, 10.1016/j.apr.2022.101482
    25. Debananda Roy, Eun Sun Lyou, Jayun Kim, Tae Kwon Lee, Joonhong Park, Commuters health risk associated with particulate matter exposures in subway system – Globally, 2022, 216, 03601323, 109036, 10.1016/j.buildenv.2022.109036
    26. Wilmar Hernandez, Alfredo Mendez, Angela Maria Diaz-Marquez, Rasa Zalakeviciute, PM2.5 Concentration Measurement Analysis by Using Non-Parametric Statistical Inference, 2020, 20, 1530-437X, 1084, 10.1109/JSEN.2019.2945581
    27. Marta Baselga, Juan J. Alba, Alberto J. Schuhmacher, The Control of Metabolic CO2 in Public Transport as a Strategy to Reduce the Transmission of Respiratory Infectious Diseases, 2022, 19, 1660-4601, 6605, 10.3390/ijerph19116605
    28. Muhsin K Otuyo, Mohd Shahrul Mohd Nadzir, Mohd Talib Latif, Lip Huat Saw, In-train particulate matter (PM10 and PM2.5) concentrations: Level, source, composition, mitigation measures and health risk effect – A systematic literature review, 2023, 32, 1420-326X, 460, 10.1177/1420326X221131947
    29. Amit Passi, S.M. Shiva Nagendra, M.P. Maiya, Assessment of exposure to airborne aerosol and bio-aerosol particles and their deposition in the respiratory tract of subway metro passengers and workers, 2021, 12, 13091042, 101218, 10.1016/j.apr.2021.101218
    30. Enikő Papp, Anikó Angyal, Enikő Furu, Zoltán Szoboszlai, Zsófia Török, Zsófia Kertész, Case Studies of Aerosol Pollution in Different Public Transport Vehicles in Hungarian Cities, 2022, 13, 2073-4433, 692, 10.3390/atmos13050692
    31. Armando Cartenì, Furio Cascetta, Antonella Falanga, Mariarosaria Picone, Rain-Based Train Washing: A Sustainable Approach to Reduce PM Concentrations in Underground Environments, 2024, 16, 2071-1050, 2708, 10.3390/su16072708
    32. Anjum Shahina Karim, Maeve Malone, Alex Bruno, Aimee L. Eggler, Michael A. Posner, Kabindra M. Shakya, Assessment of air quality in the Philadelphia, Pennsylvania subway, 2024, 1559-0631, 10.1038/s41370-024-00711-9
    33. Shan Huang, Minglei Han, Peixian Chen, Weiwei Feng, Guobo Li, Hongxiang Zhang, Honggen Peng, Ting Huang, Assessing health risks from bioaccessible PM2.5-bound toxic metals in Nanchang metro: Implications for metro workers and emissions control, 2024, 258, 00139351, 119284, 10.1016/j.envres.2024.119284
    34. Amit Passi, S. M. Shiva Nagendra, M. P. Maiya, 2024, Chapter 6, 978-981-99-4680-8, 57, 10.1007/978-981-99-4681-5_6
    35. Dimitrios-Michael Rodanas, Konstantinos Moustris, Georgios Spyropoulos, 2023, Calculation of Inhaled Dose of Particulate Matter for Different Age Groups in the Metro Public Transport System in Athens, Greece, 67, 10.3390/environsciproc2023026067
    36. Washington Torres Guin, José Sánchez Aquino, Samuel Bustos Gaibor, Marjorie Coronel Suarez, Arquitectura de IoT para el Monitoreo de Emisiones de Gases Contaminantes de Vehículos y su Validación a través de Machine Learning, 2024, 1390-860X, 9, 10.17163/ings.n32.2024.01
    37. Amit Passi, S. M. Shiva Nagendra, M. P. Maiya, Occupational exposure and personal exposure to hazardous air pollutants in underground metro stations and factors causing poor indoor air quality, 2023, 16, 1873-9318, 1851, 10.1007/s11869-023-01378-1
    38. Hermann Fromme, 2023, Chapter 5, 978-3-031-40077-3, 331, 10.1007/978-3-031-40078-0_5
    39. Marie Ramel-Delobel, Shahram Heydari, Audrey de Nazelle, Delphine Praud, Pietro Salizzoni, Béatrice Fervers, Thomas Coudon, Air pollution exposure in active versus passive travel modes across five continents: A Bayesian random-effects meta-analysis, 2024, 261, 00139351, 119666, 10.1016/j.envres.2024.119666
    40. Samuele Marinello, Francesco Lolli, Antonio Maria Coruzzolo, Rita Gamberini, Exposure to Air Pollution in Transport Microenvironments, 2023, 15, 2071-1050, 11958, 10.3390/su151511958
    41. Yongbum Kwon, Characteristics of Fine Particulate Variations in the Underground Subway Platforms: A Case of Seoul, 2023, 39, 1598-7132, 675, 10.5572/KOSAE.2023.39.5.675
    42. Valisoa M. Rakotonirinjanahary, Suzanne Crumeyrolle, Mateusz Bogdan, Benjamin Hanoune, A novel method for establishing typical daily profile of PM concentrations in underground railway stations, 2024, 1, 29503620, 100040, 10.1016/j.indenv.2024.100040
    43. Kyriaki-Maria Fameli, Konstantinos Moustris, Georgios Spyropoulos, Dimitrios-Michael Rodanas, Exposure to PM2.5 on Public Transport: Guidance for Field Measurements with Low-Cost Sensors, 2024, 15, 2073-4433, 330, 10.3390/atmos15030330
    44. Apostol Todorov, Petya Gicheva, Vanya Stoykova, Stanimir Karapetkov, Hristo Uzunov, Silvia Dechkova, Zlatin Zlatev, Environmental Monitoring in Bus Transportation Using a Developed Measurement System, 2023, 7, 2413-8851, 90, 10.3390/urbansci7030090
    45. Deepanshu Agarwal, Xuan Truong Trinh, Wataru Takeuchi, Assessing the Air Quality Impact of Train Operation at Tokyo Metro Shibuya Station from Portable Sensor Data, 2025, 17, 2072-4292, 235, 10.3390/rs17020235
    46. S. S. Kolo, T. O. Inufil, O. D. Jimoh, O. O. Adeleke, L. A. Ajao, E. O. Agbese, 2024, Chapter 4, 978-3-031-65356-8, 57, 10.1007/978-3-031-65357-5_4
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